Header Image
Gut-brain axis and ADHD

Sitemap

Gut-brain axis and ADHD

With 100 million neurons, the intestinal nervous system contains about as many as the spinal cord. Both are therefore independent nervous systems.
Most intestinal nervous system neurons are located in:1

  • Plexus myentericus Auerbach (in the muscle wall)
  • Plexus submucosus Meissner (adjacent to the mucosa).

Specialized neurons of the intestinal nervous system exert an influence within the intestine (promoting or inhibiting depending on the transmitter and receptor):1

  • Motor skills (different movement patterns)
  • Secretion (water, electrolytes, hormones)
  • Perfusion (vascular tone, stimulating (vasodilation) or inhibiting (vasoconstriction) blood flow)
  • Resorption
  • Signal substance formation

The gut microbiome also has far-reaching interactive effects on the human body:2

  • gastrointestinal
    • Metabolism
    • Nutrient intake
      • Carbohydrates
      • Proteins
      • Bile acid
      • Vitamins
      • other bioactive compounds
  • non-gastrointestinal (especially during the child’s developmental period and then irreversibly, already prenatally through the maternal microbiome)
    • Brain development
    • Maturation of the immune system
    • Maturation of the neuroendocrine system

The enteric nervous system is connected to the body and the brain via the vagus nerve.
Influence vagal afferents:3

  • anxiety-like and anxiety-related behavior
  • Left-right differentiation and reversal learning
  • sensorimotor gating (pre-pulse inhibition)
  • Attention control
    • for associative learning
    • with conditioned taste aversion
  • gene expression in the nucleus accumbens
  • the effects of L. reuteri on the social behavior of autism mouse models (improvement is prevented by vagotomy)

The gut-brain axis plays a role in brain development, particularly in infancy, early childhood and childhood.4 The mother’s microbiome, the type of birth and the environment influence the child’s microbiome. Breastfeeding and a healthy diet provide the child’s gut with important probiotic elements, while antibiotics can disrupt the intestinal flora. The intestinal flora also influences neurogenesis.4 Microbiota are necessary for normal stress response, anxiety-like behaviors, social behavior and cognition and regulate the homeostasis of the central nervous system via immune function and the integrity of the blood-brain barrier5
Stress can significantly influence the gut-brain axis.3 The bidirectional communication of the gut-brain axis includes the central nervous system (CNS), the autonomic nervous system (ANS), the enteric nervous system (ENS) and the HPA axis (stress axis) 67
In adulthood, the gut microbiome is relatively stable.8

Since microbiota can not only improve but also worsen symptoms / behaviors910 11 12 , it is strongly recommended not to take microbiota without caution. Anything that works can also do harm. In addition, genetic disposition and diet can differentiate between the advantages and disadvantages of an increased or decreased microbiome component. Sometimes the effect of an intestinal bacterium even depends on the strain used.
We find the fact that there are almost no studies reporting a worsening of symptoms or neurophysiological parameters due to the administration of microbiota disconcerting. Since the administration of microbiota resulting in an increase in the relative abundance of one bacterial species is inevitably accompanied by a relative decrease in the abundance of other bacterial species, we see a risk of biased reporting here or that the changes may in fact not be the result of the administration of certain bacterial species, but of an associated other effect, such as a change in the microbiome itself, possibly due to an increase in diversity13

1. Gut-brain axis

1.1. Microbiome

Trillions of microorganisms (“microbiota”) live in the human body, which together with their genome are called the “microbiome”. The microbiome is the totality of all bacteria, archaea, fungi, parasites, viruses and protozoa as well as their genes and metabolic products.
The microbiota of the digestive tract comprises more than 100 trillion microorganisms from 300-3000 different species. Together, these have over 200 times as many genes as humans.2
The composition of the microbiome is different for every person and is constantly changing.

1.2. Microbiota / intestinal bacteria

Intestinal bacteria mainly include the six major phyla:2

  • Bacteroidetes (dominant)
  • Proteobacteria (dominant)
  • Actinomycetes
  • Verrucomicrobia
  • Fusobacteria

Table: Classification of bacteria

The following tabular graphic representation of the systematics of the Kingdom of Bacteria is based on Checa-Ros et al.. (extended)
The illustration shows only a small fraction of the diversity of bacteria.

Phylum Class Order Family Genus Species Strain
Firmicutes Bacilli Lactobacillales Enterococcaceae Enterococcus
Lactobacillaceae Lactobacillus L. rhamnosus JB-1
L. acidophilus
L. casei Shirota
L. reuteri 100-23
SP-C2-NAJ0070
ATCC-PTA-6475
DSM-17938
L. plantarum FI8595
L. mali
L. hildegardii
L. johnsonii MLN-C1-NAJ0142
L. helveticus ROO52 (10(9)cfu/d)
Negativicutes Veilonellales Veilonellaceae Veilonella V. parvula
Clostridia Clostridiales Ruminicoccaceae Ruminicoccus
Faecalibacterium
Clostridia UCG 014
Clostridia sensu stricto 1
Acetevibrio
Lechnospiraceae Corproccus
Agathobacter
Roseburia
Clostridiceae Clostridium
Bacteroidetes Bacteroidia Bacteroidales Prevotellaceae Prevotella Prevotella amnii
Prevotella bucella
Prevotella copri
Paraprevotella P. xylaniphila
Alloprevotella
Hallella
Porphrymonadaceae Parabacteroides
Odoribacter O. splanchnicus
Bacteroidaceae Bacteroides B. uniformis
B. ovatus
B. coprocola
B. thetaiotaomicron VPI-5482
B. fragilis
Flavobacteriia Flavobacteriales Flavobacteriaceae
Actinomycetota Actinomycetes Bifidobacteriales Bifidobacteriaceae Bifidobacterium B. longum R0175
B. infantis
B. breve
Coriobacteriales Coriobacteriaceae Collinsella
Proteobacteria Deltaproteobacteria Desulfovibrionales Desulfovibrionaceae Desulfovibrio
Betaproteobacteria Burkholderiales Sutterellaceae Sutterella B. stercoricannis
Verrucomicrobia Verrucomicrobiae Verrucomicrobiales Akkermansiaceae Akkermansia A. muciniphila
Fusobacteria Fusobacteriia Fusobacteriales Fusobacteriaceae

1.3. Intestinal neurons and nerves connecting to the brain

There are two types of sensory nerves within the intestine:14

  • extrinsic primary afferent neurons
    The somata of these nerve cells are located outside the intestine
    in humans: 50,000
  • intrinsic primary afferent neurons (IPANs)
    The somata of these nerve cells are located within the intestinal wall
    in humans: 100,000,000

Certain bacteria and bacterial components in the intestinal lumen can modulate both the extrinsic and intrinsic intestinal sensory systems and thereby influence peristalsis, nociception, brain chemistry and mood.14

The means of communication used include14

  • Serotonin
  • Substance P
  • Somatostatin
  • Cholecystokinin (CCK)
  • GABA
  • ATP
  • Glucagon-like peptide-1 (GLP-1)
  • Peptide YY (PYY)
  • Hormones
    • Leptin
    • Orexin

The following microbiota metabolites increased serotonin synthesis in the intestine in vitro:15

  • α-Tocopherol
  • Butyrate
  • Cholate
  • Deoxycholate
  • p-Aminobenzoate
  • Propionate
  • Tyramine

1.3.1. Vagus nerve

The communication of the gut-brain axis is bidirectional. The brain influences the motor, sensory and secretory functions of the gastrointestinal tract top-down via efferent fibers of the vagus nerve. The gut influences the function of the brain bottom-up, in particular the amygdala and hypothalamus, via the afferent vagal fibers.16

The afferent fibers of the vagus nerve present in all layers of the intestinal wall do not cross the epithelial layer of the intestine, so that the luminal microbiota cannot interact with them directly. SCFA can cross the epithelial barrier and activate the chemoreceptors of the vagus nerve.17
After stimulation of microbial pattern recognition receptors on their luminal side, enteroendocrine cells also release paracrine factors that can activate the chemoreceptors of the vagus nerve, such as17

  • Serotonin (5-HT)
  • Cholecystokinin (CCK)
  • Glucagon-like peptide-1 (GLP-1)
  • Peptide YY (PYY)

In addition, intrinsic primary afferent neurons (IPAN) of the intestinal nervous system (which make up the majority of sensory fibers innervating the intestinal mucosa) could receive microbial signals and subsequently modulate vagal activity via intramural synaptic transmission.17

The vagus nerve has a nicotinic intramural sensory synapse that can receive signals from IPAN. The majority of vagal afferent action potentials elicited by L. rhamnosus depend on this intramural synaptic transmission and can be interrupted by nicotinic or complete synaptic blockade.18

The vagus nerve is the tenth pair of cranial nerves and the longest and most widespread pair. The vagus nerve consists of 20 % efferent and 80 % afferent fibers and includes sensory and motor nerve fibers. The sensory neurons of the vagus nerve project centrally into the brain stem and end at the nucleus tractus solitarius and the nucleus tractus spinalis of the trigeminal nerve. The motor neurons originate from the ambiguous nucleus of the medulla oblongata and the dorsal nucleus of the vagus nerve.19

1.3.2. Spinal nerves

In addition to the vagus nerve, spinal nerves also connect the intestinal nervous system with the brain. Spinal afferents are particularly relevant in relation to the microbial modulation of visceral pain perception.14

One of the most important pain receptors in the intestine is the transient receptor potential vanilloid 1 (TRPV1). TRPV1 is expressed in the gastrointestinal tract mainly in spinal and vagal primary afferent neurons. L. reuteri DSM 17938 decreased the firing frequency of nociceptive spinal fibers but not the firing frequency of vagal fibers in the mesenteric nerve bundle. This is probably due to a potent specific direct or indirect blockade of TRPV1 ion channels in extrinsic spinal primary sensory fibers and their corresponding DRG cell bodies. In contrast, the antinociceptive effect of the L. rhamousus JB-1 strain was independent of TRPV1 antagonism.14

1.3.3. Spinal cord

In addition to the vagus nerve and the spinal nerves, the spinal cord also serves as an afferent connection from the intestinal nervous system to the brain.14

2. What influences the gut-brain axis

An imbalance in the gut microbiome can be caused by a variety of factors such as caesarean delivery, a diet high in fat and sugar, psychological stress, infections and antibiotics.8

2.1. Vagotomy

If the vagus nerve, which connects the intestinal nervous system with the brain, is surgically interrupted (vagotomy), this causes behavioral changes:3

  • Increase in psychiatric disorders
  • neurogenic bowel disorders more common20
  • reduced locomotor activity during the dark phase of rodents
  • elevated noradrenaline blood plasma levels
    • basal
    • after immobilization stress
  • reduced proliferation and survival of newborn cells, reduced number of immature neurons
  • Activation of microglia in the dentate gyrus of the hippocampus

In the case of Salmonella typhimurium-induced enteritis, which causes anxiety-like behavior, a unilateral cervical vagotomy21

  • reduced anxiety-like behavior
  • reduced neuronal activation in the nucleus of the tractus solitaire and in the amygdala
  • Attenuation of abnormal glial cell activation in the hippocampus and amygdala
  • reduced serum endotoxin levels
  • Increase in Salmonella concentration in the spleen reduced
  • altered expression of inflammatory cytokines (including IL-6, IL-1β and TNF-α) in the gastrointestinal tract and brain
  • reduced expression of IL-22 and CXCL1
  • increased levels of beneficial intestinal microbiota (including Alistipes and Lactobacillus)
  • increased GABA synthesis in the intestine
    • Administration of GABA replicated the positive effects of vagotomy on reducing intestinal inflammation and anxiety-like behavior in infected mice
    • Blockade of GABA receptors by picrotoxin abolished the protective effect of vagotomy against intestinal inflammation without affecting anxiety-like behavior

2.2. Antibiotics

Antibiotics change the intestinal microbiota. They influence their effects on the brain not only in children, but also in adults.22

Oral administration of the antibiotics neomycin and bacitracin together with the antifungal agent primaricin in adult BALB/c mice23

  • temporary change in the composition of the intestinal microbiota
  • increased urge to explore
  • reduced anxiety
  • BDNF mirror
    • reduced in amygdala
    • increased in the hippocampus
  • Fecal transplantation into another mouse strain caused similar behavioral changes in this strain

Mice that were continuously treated with an antibiotic cocktail from weaning (postnatal day 21) showed:24

  • impoverished and restructured intestinal microbiota
  • less anxiety-like behavior
  • fewer cognitive deficits
  • increased tryptophan and reduced kynurenine levels in serum
  • reduced expression of BDNF, oxytocin and vasopressin in the brain

An administration of the antibiotic vancomycin in the early phase of life (4th to 13th postnatal day) in rats showed that25

  • fear-like behavior unchanged
  • cognitive performance unchanged
  • long-term increase in visceral hypersensitivity only in males
  • reduced alpha-2-adrenoceptors and TRPV1 in the lumbo-sacral section of the spinal cord in adulthood

Rifaximin prevented chronic stress-induced visceral hypersensitivity, mucosal inflammation and impaired mucosal barrier function in rats26

  • this correlated with an increase in Lactobacillus in the ileum

Neomycin, on the other hand, did not prevent visceral hypersensitivity26

2.3. Vagus nerve stimulation

Vagus nerve stimulation is approved in Europe for the treatment of drug-resistant epilepsy and refractory depression.
For vagus nerve stimulation, electrodes are surgically implanted under general anesthesia on the left vagus nerve and a generator and cable are implanted under the skin.

Vagus nerve stimulation influences / works for:3

  • the regulation of mood
  • the perception of pain (chronic pain)
  • Crohn’s disease
  • certain epilepsies
  • increases neurogenesis in the hippocampus of adults
  • modulates the release of noradrenaline, 5-HT and dopamine in brain regions associated with anxiety and depression
  • increases the expression of BDNF in the hippocampus, which improved depression-like behaviors in animals with chronic immobilization stress
  • influences the reward behavior of mice

2.4. Food

High-energy food seems to promote reactive aggressive behavior in combination with certain bacterial strains on the one hand and with ADHD on the other.27

2.4.1. Short-chain fatty acids, SCFA

The primary functions of the microbiota include28

  • Protection against pathogens by increasing mucus production and thus stabilizing the intestinal-blood barrier
  • Support for the immune system
  • Production of vitamins
  • Production of short-chain fatty acids (SCFAs) from indigestible carbohydrates (“dietary fiber”).

A low-fiber diet reduces SCFA levels, as do antibiotics.

SCFA can activate the chemoreceptors of the vagus nerve. The afferent fibers of the vagus nerve present in all layers of the intestinal wall do not cross the epithelial layer of the intestine, so that the luminal microbiota cannot interact with them directly. SCFA can cross the epithelial barrier.17

Short-chain fatty acids are:

Abbreviation of the fatty acid Trivial name Systemic name Trivial name salt/ester Systemic name salt/ester Chemical formula Typical plasma value29
C1:0 (no SCFA) Formic acid Methanoic acid Formates Methanoates HCOOH
C2:0 Acetic acid Ethanoic acid Acetates Ethanoates CH3COOH 64 μM
C3:0 Propionic acid Propanoic acid Propionates Propanoates CH3CH2COOH 2.2 μM
C4:0 Butyric acid Butanoic acid Butyrate Butanoate CH3(CH2)2COOH 0.54 μM
C4:0 Isobutyric acid 2-Methylpropanoic acid Isobutyrate 2-Methylpropanoate (CH3)2CHCOOH 0.66 μM
C5:0 Valeric acid Pentanoic acid Valerate Pentanoate CH3(CH2)3COOH 0.18 μM
C5:0 Isovaleric acid 3-Methylbutanoic acid Isovalerate 3-Methylbutanoate (CH3)2CHCH2COOH 0.40 μM
C6:0 Caproic acid Hexanoic acid Capronate Hexanoate CH3(CH2)4COOH 0.34 μM

In humans, acetates, propionates and butyrates make up 95% of SCFA, in a ratio of 3:1:1.3 A more recent study found other and more detailed differences, which are shown in the table above29

SCFAs corrected the changes that chronic psychosocial stress caused in the gut-brain axis.30 SCFAs

  • mitigated the changes in reward behavior triggered by psychosocial stress
  • increased the ability to react to an acute stressor
  • increased the in vivo intestinal permeability
  • had an antidepressant effect
  • had an anxiolytic effect
  • did not influence the stress-related increase in body weight

2.4.2. Probiotics

There is evidence that when prebiotics are administered, an effect (in the brain) only occurs after several weeks, comparable to the effect of antidepressants.31 Several weeks after discontinuation, some, but not all, neurotransmitter levels in the brain had returned to their original value.

2.5. Fecal transplantation

Rodents raised germ-free have:14

  • an altered brain chemistry
  • increased permeability of the blood-brain barrier
  • an underdeveloped intestinal nervous system (ENS)
  • reduced peripheral 5-HT production
  • altered intestinal motility and physiology
  • numerous deficits of the immune system.

Nevertheless, they are particularly suitable for investigating the effects of fecal transplants and have shown that the transfer of gut microbiota into germ-free animals can transfer behavioral traits of the donor animals.14
Fecal transplantation from depressed individuals to rats with depleted microbiota caused anxious behavior and changes in tryptophan metabolism.32

Fecal transplants of 5 boys with ADHD to rats also triggered ADHD symptoms in them, while this was not the case for 8 boys without ADHD.33

Fecal transplantation from healthy rats to Lister hooded rats (an ADHD model animal that showed more hyperactivity, impulsivity and inattention than SHR) reduced hyperactivity in transplant recipients.34

2.6. Intestinal flora and stress

Microbiota are necessary for normal stress response, anxiety-like behaviors, social behavior and cognition and regulate central nervous system homeostasis via immune function and blood-brain barrier integrity5

The vagus nerve and HPA axis influence each other.
Vagal nerve stimulation3

  • increased the expression of CRF mRNA in the hypothalamus of rodents
  • markedly increased the plasma levels of ACTH and corticosterone

In animal models, psychological stress increased the permeability of the intestine and caused a relocation of intestinal bacteria into the host. The activation of the immune response due to exposure to bacteria and bacterial antigens beyond the epithelial barrier causes proinflammatory cytokine secretion and ultimately activates the HPA axis.35

The gut microbiome is essential for the development and function of the HPA axis (stress axis).362
Germ-free reared mice show an exaggerated HPA axis response and reduced sensitivity to negative feedback signals. Bifidobacterium infantis given early reversed this response.2

Early childhood stress influences the microbiome.37

3. Pathways of the gut microbiome on the brain

Intestinal bacteria (intestinal microbiome, intestinal flora) influence the nervous system via various mechanisms.38

3.1. Metabolic / neuroendocrine pathway

Metabolic / neuroendocrine pathway:162

3.1.1. Modulation of neurotransmitters by the microbiome

The microbiome modulates neurotransmitters38 such as GABA, serotonin, dopamine, noradrenaline16

  • direct synthesis2
  • indirectly via biosynthetic pathways of the host organism
    • Synthesis of precursors of neurotransmitters (e.g. for dopamine)2
  • by secretion of short-chain fatty acids (SCFAs)16. These:
  • activate microglial cells39
  • influence the permeability of the blood-brain barrier40
  • Suppression of the synthesis of the pro-inflammatory TNF by converting L-histidine into the immunoregulatory histamine (L. reuteri)41

Bacteria can synthesize neurotransmitters and hormones and react to them:16

Table: Bacteria and neurotransmitter synthesis

Bacterium Dopamine (DA) Noradrenaline (NE) Serotonin (5-HT) GABA Acetylcholine (ACh) Histamine (Hist) Other influences
Bacillus species produce DA4243 produce NE4243
Bacillus cereus produce DA38
Bacillus mycoides produce DA38 produce NE38
Bacillus subtilis produce DA38 produce NE38
Bifidobacterium species produce precursors of dopamine2 produce GABA4243
Bifidobacterium adolescentis produce GABA38
Bifidobacterium angulatum produce GABA38
Bifidobacterium dentium produce GABA38
Bifidobacterium infantis produce GABA38
Candida produce 5-HT43
Cirobacter freundii produce Hist38
Enterobacter spp. produce Hist38
Enterococcus convert L-dopa into DA44 produce 5-HT4243
Escherichia produce DA3842 43 produce NE4338 produce 5-HT4345 38
Hafnia alvei (NCIMB, 11999) produce DA38 produce 5-HT4538 produce Hist38
Klebsiella pneumoniae (NCIMB, 673) produce DA38 produce 5-HT4538 produce Hist38
L. lactis subsp. lactis (IL1403) produce 5-HT45
Lactobacillus species produce GABA4243 produce ACh4243
Lactobacillus brevis (DPC6108) produce GABA38
Lactobacillus buchneri (MS) produce GABA38
Lactobacillus delbrueckiisubsp. bulgaricus (PR1) produce GABA38
Lactobacillus hilgardii produce Hist38
Lactobacillus mali produce Hist38
Lactobacillus plantarum (FI8595) produce 5-HT4538 (ATCC14917) produce GABA38 produce ACh38 produce Hist38
Lactobacillus reuteri (100-23) produce GABA38
Lactobacillus rhamnosus (JB-1) produce GABA38; for GABA receptors see * see **
Lactococcus lactis subsp. cremoris (MG 1363) produce 5-HT4538 produce Hist38
Lactococcus lactis subsp. lactis (IL1403) produce Hist38
Monasmus purpureus (CCRC 31615) produce GABA38
Morganella morganii (NCIMB, 10466) produce DA38 produce 5-HT4538 produce Hist38
Oenococcus oeni produce Hist38
Pediococcus parvulus produce Hist38
Proteus vulgaris produce DA38 produce NE38
Saccharomyces produce NE43
Serratia produce DA43
Serratia marcescens produce DA38 produce NE38
Staphylococcus aureus produce DA38
Streptococcus produce 5-HT4243
Streptococcus thermophilus (NCFB2392) produce 5-HT4538 produce Hist38
Streptococcus salivarius subsp. thermophilus (Y2) produce GABA38

* Altered the expression of GABA receptors in the brain via the vagus nerve46; GABA-B1b receptor mRNA increased in the cortex (cingulate and prelimbic), decreased in the hippocampus, amygdala and locus coeruleus, GABA-Aα2 mRNA reduced in the PFC and amygdala, increased in the hippocampus.
** Reduced stress-related corticosterone secretion46; reduced anxiety- and depression-related behavior46

The production of dopamine, noradrenaline and serotonin in intestinal neurons does not mean that the neurotransmitters synthesized in this way reach the brain.

  • Blood-brain barrier
    Acetylcholine can cross the blood-brain barrier. However, dopamine, noradrenaline, serotonin and GABA cannot, which means that these latter neurotransmitters produced in the gut do not directly change the levels in the brain.
  • extracellular vesicles (EV) can cross the blood-brain barrier
    Intestinal microbiota - like other bacteria - produce extracellular vesicles (EV).47 If these originate from gram-negative bacteria, EV are called “outer membrane vesicles (OMV)”.48
    These nano-sized EVs (20 to 1000 nm) can penetrate the inner mucus layer, enter the bloodstream and cross the blood-brain barrier to the brain.495051525354
    95 % of serotonin is produced by enterochromaffin cells in the intestine, 5 % in the brain. Akkermansia muciniphila, which makes up around 5 % of intestinal bacteria and in which a deficiency correlates with various chronic inflammatory bowel diseases such as colitis and Crohn’s disease, influenced serotonin levels in the hippocampus of mice via its EVs.49 Another study shows that extracellular vesicles of Escheria coli enter the hippocampus.55
  • Axonal transport
    We wonder whether neurotransmitters synthesized in the gut could be transported to the brain via the vagus nerve. So far there is no evidence for this. However, there is evidence that nerve fibers of the vagus nerve contain dopamine.56 Furthermore, peripheral nerves such as the vagus nerve can transport nanoparticles into the brain.57 Synuclein can also be transported from the body into the brain via nerves, which may be of interest with regard to the development of Parkinson’s disease.58 In cohort studies, a truncal vagotomy showed a significant protective effect against Parkinson’s disease.5960
  • Influencing the prodrug balance
    Intestinal bacteria influence the blood levels of the precursors of dopamine, noradrenaline, serotonin and GABA, which can cross the blood-brain barrier. Consequences are that the blood level of the precursors could influence the amount of neurotransmitters synthesized from them in the brain. For example, a slight increase in Bifidobacterium in the gut, as found in ADHD, is associated with increased production of cyclohexadienyl dehydratase, which is a precursor to phenylanaline, which is a precursor to dopamine. At the same time, the increase in Bifidobacterium is thought to be associated with reduced reward anticipation, suggesting reduced dopamine levels in the striatum.61 How these two seemingly contradictory pathways fit together is not yet clear to us.

3.1.2. Immune system pathway and microbiome

The microbiome influences the immune system via circulating cytokines.162

3.1.3. Inflammation pathway

An increased ratio of Phyla Firmicutes to Bacteroidetes is associated with increased levels of inflammation in the intestinal tissue.86263
Reduced abundance of butyrate-producing Faecalibacterium prausnitzii (phylum Firmicutes) correlated with reduced low-grade inflammation in obese individuals and patients with type 2 diabetes.646566 Obesity is considered an inflammatory condition. Obesity is also a major risk factor for the development of gallstones. Gallstones are associated with an increased Firmicutes to Bacteroidetes ratio. However, gallstones themselves are not associated with increased levels of inflammation. , which in our view raises the question of whether the Firmicutes to Bacteroidetes ratio is the direct pathway for inflammation.6767

ASA is said to be associated with a significantly higher Firmicutes to Bacteroidetes ratio, among other changes in microbiota diversity.8 While two of the sources available to us found an increased Firmicutes to Bacterioides ratio in ASA6869 and one source reported a strongly increased Clostridium species70, which represents at least one - albeit very specific - sub-case of the Firmicutes strain, another of the sources cited71 did not comment on this topic and a further source cited reported a reduced Firmicutes to Bacteroidetes ratio (fewer Firmicutes, more Bacteroidetes) in ASA.72.
Our further searches found a systematic review that found an increased Firmicutes to Bacteroidetes ratio in ASA73 and a meta-analysis that found increased Firmicutes and increased Bacteriodetes in ASA (meta-analysis, k = 18, n = 897)74.

3.2. HPA axis is influenced by the microbiome

The microbiome influences HPA axis activity. Germ-free (without mirobiota) mice have an overactivated HPA axis with an increased release of stress hormones such as corticosterone and ACTH during restraint stress.75

3.3. Nerve pathway of the microbiome

The microbiome influences the brain via the neural pathway.2

  • by stimulation of the vagus nerve:167646
    • The vagus nerve has 80 % afferent fibers, which transmit sensory stimuli from the body to the brain, and 20 % efferent fibers, which transport motor signals from the brain to the body.1
  • by means of the enteric nervous system2

3.4. Epigenetics and the microbiome

Influence on epigenetic processes in the brain (neuroepigenetic)77

  • e.g. through SCFA (short-chain fatty acids); these influence
    • Acetylation and butyrylation of histone proteins78
      • facilitates binding of transcription factors to DNA and thus transcription of genes
    • post-translational modification of histones (crotonylation, butyrylation)798081
    • Neuroplasticity (e.g. in the visual cortex of adult mice)82
    • Gene expression in cortical astrocytes83
  • DNA methylation77
    • Changes in DNA methylation occur during learning and memory consolidation
    • the one-carbon metabolic pathway84 of DNA methylation is regulated by the availability of cofactors. Some of these (such as cobalamin, folate, pyridoxine and riboflavin) are metabolic products of intestinal bacteria
    • The gut microbiome influences DNA methylation in intestinal epithelial cells
    • Influence of the gut microbiome on DNA methylation and transcription in the brain has not yet been proven.

3.5. MiRNA (microRNA) and microbiome

Lack of gut microbiota correlates with changes in the expression of various miRNAs, particularly in the amygdala and PFC.77

miRNA regulate e.g: 77

  • the dendritic morphology
  • the spine density in the neurons of the hippocampus
  • visual cortical plasticity (by influencing spine remodeling)
  • cortical plasticity

4. Gut microbiota in ADHD

4.1. Gut bacteria as a possible causal cause of ADHD?

One study found evidence of a causal relationship between gut bacteria and ADHD.85 (Note: Even if causality were confirmed, it should be assumed that this is only one of many different possible ways in which ADHD can develop and would therefore not apply to all people with ADHD)

One study found that mice whose guts were contaminated with gut bacteria from people with ADHD had structural changes in the brain (white matter, gray matter, hippocampus, internal capsule), decreased connectivity between motor and visual cortices right in the resting state, and higher anxiety than mice in which gut bacteria from people without ADHD were used.86

A single case study reported an improvement in ADHD symptoms in a young woman with gut bacteria replacement related to a recurrent Clostridioides difficile infection.87

Taxonomic differences were found in the microbiota of adolescents and young adults with ADHD compared to healthy controls:61

  • An abundance of actinobacteria was found in persons with ADHD
  • the capacity of the intestinal microbiome to produce monoamine precursors (phenylalanine) was increased
  • the abundance of cyclohexadienyl dehydratase (CDT) genes in the microbiome involved in phenylalanine production correlated negatively with reward anticipation responses in the ventral striatum (with ventral striatum activation for reward anticipation reduced in ADHD)

A study of urine and fecal samples using 1H nuclear magnetic resonance spectroscopy and liquid chromatography-mass spectrometry found gender-specific patterns in the metabolic phenotype in ADHD88

  • Urine profile
    • Hippurate (a product of microbial host co-metabolism that can cross the blood-brain barrier)
      • increased (men only)
      • correlated negatively with IQ (in men)
      • correlated with fecal metabolites associated with microbial metabolism in the gut.
  • Fecal profile (independent of ADHD medication, age and BMI)
    • Stearoyl-linoleoyl-glycerol increased
    • 3,7-Dimethylurate increased
    • FAD increased
    • Glycerol-3-phosphate reduced
    • Thymine reduced
    • 2(1H)-quinolinone reduced
    • Aspartate reduced
    • Xanthine reduces
    • Hypoxanthine reduces
    • Orotate reduced

Gut microbiome and dopamine

  • The gut microbiome influences dopamine levels in the PFC and striatum of rodents2
  • A slight increase in Bifidobacterium in the gut, as found in ADHD, is thought to be associated with increased production of cyclohexadienyl dehydratase, which is a precursor to phenylanaline, which is a precursor to dopamine. At the same time, the increase in Bifidobacterium is thought to be associated with reduced reward anticipation, suggesting reduced dopamine levels in the striatum.61 How these two seemingly contradictory pathways fit together is not yet clear to us.
  • Gut microbiome composition correlates with impulsivity, increased striatal D1R and decreased D2R with increasing susceptibility to alcohol dependence89
  • Intestinal inflammation can impair the dopamine metabolism90
    • An infection with Citrobacter rodentium triggers an inflammatory bowel disease in mice. This affected not only the intestinal microbiota but also the brain dopamine metabolism. An additional administration of MPTP (a precursor of the neurotoxin 1-methyl-4-phenylpyridinium (MPP+), which can trigger Parkinson’s symptoms by damaging dopaminergic neurons) compared to the administration of Citrobacter rodentium or MPTP alone:
      • worsened behavioral performance
      • increased dopaminergic degeneration and overactivation of glial cells in the nigrostriatal signaling pathway
      • increased the expression of TLR4 and NF-κB p65 in the colon and striatum
      • increased the expression of pro-inflammatory cytokines.

4.2. Microbiome and short-chain fatty acids (SCFA) in ADHD

Studies on short-chain fatty acids found reduced SCFA blood levels in ADHD:9192

  • Adults with ADHD
    • Formic acid reduces
    • Acetic acid reduces
    • Propionic acid reduces
    • Succinic acid reduced (C4H6O, an aliphatic dicarboxylic acid; food additive number E 363)
  • Children with ADHD
    • Formic acid lower than in adults
    • Propionic acid lower than in adults
    • Isovaleric acid lower than in adults
  • Antibiotic medication in the last 2 years caused
    • Formic acid reduces
    • Propionic acid reduces
    • Succinic acid reduces
  • current stimulant use in children caused
    • Acetic acid reduces
    • Propionic acid reduces

4.3. Gut microbiota differences in ADHD

Studies have found deviations in the intestinal flora of children with ADHD compared to those not affected.28 In contrast, the intestinal flora differs only slightly between ADHD and ASD.93
ADHD correlated with leaky gut, neuroinflammation and overactivated microglial cells. The colonic microbiota exhibits a pro-inflammatory shift and harbors more gram-negative bacteria that contain immune-triggering lipopolysaccharides in their cell walls.94

Disorders of the developing gut microbiota early in life can affect neurological development and potentially lead to adverse mental health outcomes later in life.95
75 infants were randomly assigned to receive either Lactobacillus rhamnosus GG or a placebo in the first 6 months of life. After 13 years, ADHD or ASD was found in 17% of the placebo group and none in the probiotic group. Bifidobacteria were significantly reduced in the intestinal microbiome of the children with ADHD in the first 6 months of life.9697

It is known that caesarean section compared to vaginal birth and bottle feeding compared to breastfeeding (especially in the first three months) changes the composition of the infant’s microbiome and increases the risk of ADHD. More on this at Caesarean section In the chapter Birth circumstances as a cause of ADHD and Bottle feeding increases (up to + 270 %), breastfeeding reduces ADHD risk (- 23 % to -74 %) in the chapter Stressful physical or emotional childhood experiences as a cause of ADHD

4.3.1. Reduced intestinal bacteria in ADHD

List of reduced gut bacteria in ADHD

  • Alistipes finegoldii (species)98
  • Alistipes indistinctus (species)98
  • Bacillales noname (family)98
  • Bacteroidetes (Phylum)99
    • Bacteroides coprocola (species)100
    • Bacteroides cellulosilyticus (species)
      • Reduces hyperactivity and ADHD98
    • Bacteroides fluxus (species)98
    • Bacteroides fragilis (species)98
    • Bacteroides intestinalis (species)98
    • Bacteroides nordii (species)98
    • Bacteroides salyersiae (species)98
    • Bacteroides thetaiotaomicron (species)98
    • Bacteroides ovatus (species)98
  • Bifidobacterium
    • In the first 6 months of life96
    • Bifidobacterium adolescentis (species)98
  • Butyricicoccus85
  • Clostridia_UCG_014 (meta-analysis, k = 4, n = 627) (genus)101
  • Coprococcus
    • Anti-inflammatory94
    • Coprococcus catus (species)98
  • Desulfovibrio85
  • Dial register10299
    • Dialister level increased after ADHD treatment
  • Enterobacter103
  • Enterococcus104
    • Convert L-dopa into dopamine44 Since L-dopa, but not dopamine, can cross the blood-brain barrier, a reduction of enterococcus in the gut should lead to more L-dopa in the brain, where it would be available as a precursor for dopamine. How this interacts is not yet clear to us.
  • Eubacterium
    • Eubacterium hallii (species)103
    • Eubacterium_xylanophilum_Group (meta-analysis, k = 4, n = 627)101
    • anti-inflammatory94
    • Eubacterium rectale
      • anti-inflammatory94
    • Eubacterium_ruminantium_Group (meta-analysis, k = 4, n = 627)101
    • Eubacterium ventriosum (species)98
  • Enterococcus104
  • Faecalibacterium (strain Firmicutes, class Flavobacteria)105106104
    • Anti-inflammatory94
    • Reduced Faecalibacterium correlated with
      • Increased hyperactivity / impulsivity107
      • Increased ADHD symptoms105
  • Faecalibacterium prausnitzii (also known as Faecalibacterium duncaniae) (Species)10899
    • anti-inflammatory94
  • Flavobacteriia (class)98
    • Flavobacteriales (order)98
      • Flavobacteriaceae (family)98
  • Fusobacteria (Phylum)98
    • Fusobacteriia (class)98
    • Fusobacteriales (order)98
      • Fusobacteriaceae (family)98
        • Fusobacterium (genus)98
  • Gemella (genus)98
  • Haemophilus99
  • Lachnoclostridium99
  • LachnospiraceaeNC2004group85
  • Lachnospiraceae bacterium108
  • Lactobacillus
    • anti-inflammatory94
  • Megamonas103
  • Negative bacillus genera (species)103
  • Oxalobacteraceae85
  • Parabacteroides goldsteinii (species)98
  • Peptostreptococcaceae (family)85
  • Prevotella10999
    • produce short-chain fatty acids (SCFAs)110
    • anti-inflammatory94
  • RF39 (meta-analysis, k = 4, n = 627)101;
  • Rhodocyclales (order)98
    • Rhodocyclaeae (family)98
  • Roseburia hominis (species)98
  • Romboutsia85
  • Ruminococcus gnavus (species)10899
  • Ruminococcus sp 5 1 39BFAA (Species)98
  • Increased against: RuminococcaceaeUCG01385
  • Also increases: RuminococcaceaeUGC003111
  • Significantly increased Ruminococcus_torques_group (meta-analysis, k = 4, n = 627)101
    • Correlates with inattention111
  • Sphingomonadales (order)98
    • Sphingomonadaceae (family)98
  • Subdoligranulum (genus)98
  • Sutterella99

4.3.2. Increased intestinal bacteria in ADHD

List of elevated gut bacteria in ADHD

  • Acidaminococcus112
    • Acidaminococcus genera (Species)103
  • Actinobacteria113
    • Collinsella113
  • Agathobacter112
    • correlated with withdrawal symptoms and depression
  • Alloprevotella103
  • Bacillota (synonym: Firmicutes)113
    • Coprococcus113
    • Subdoligranulum113
  • Bacteroidaceae114
  • Bacteroides cellulosilyticus (species)
    • Increased in case of inattention33115113
  • Bacteroidetes113
    • Bacteroides113
      • Correlated with hyperactivity / impulsivity in ADHD107
      • Bacteroides uniformis (B. uniformis) (Species)100
      • Bacteroides ovatus (B. ovatus) (Species)
        • Increase correlated with ADHD symptoms100
      • Bacteroides caccae108
      • Bacteroides faecis (OR: 1.09)116
      • Bacteroides eggerthii correlated with PTSD (OR: 1.11), not with ADHD116
      • Bacteroides thetaiotaomicron correlated with PTSD (OR: 1.11), not with ADHD116
  • Bacteroidota113
    • Alistipes113
      • Pro-inflammatory94
  • Bifidobacterium99 (strain: Actinobacterium)
    • Anti-inflammatory94
    • Increases61
      • A slight increase in Bifidobacterium in the gut is thought to be associated with increased production of cyclohexadienyl dehydratase, which is a precursor to phenylalanine, which is a precursor to dopamine. At the same time, the increase in Bifidobacterium is thought to be associated with reduced reward anticipation, suggesting reduced dopamine levels in the striatum.61 How these two seemingly contradictory pathways fit together is not yet clear to us.
      • Bifidobacterium encodes the enzyme arenate dehydratase (ADT), which is important for the production of phenylalanine. Phenylalanine can cross the blood-brain barrier and is a precursor of tyrosine, which is required for DA and NE synthesis.117 However, a small study found no systematic phenylalanine or tyrosine abnormalities in children with ADHD.118
    • Bifidobacterium breve (species)98
    • Bifidobacterium bifidum (species)98
  • Clostridiales (order)119120
    • Clostridium CAG-352 (species)103
    • Clostridium hiranones (species)98
  • Desulfovibrio (genus)119
  • Eisenbergiella (meta-analysis, k = 4, n = 627)101
  • Eggerthella10699
    • Pro-inflammatory94
    • Eggerthella lenta causes a conversion of dopamine into m-tyramine via molybdenum-dependent dehydroxylase44
  • Enterococcus99
  • Eubacterium hallii group85
  • Flavonifractor
    • Pro-inflammatory94
  • Fusobacterium99
  • Lachnospiraceae120
  • Lactobacillus mucosae (species)98
  • Neisseriaceae114
    • Neisseria spec. (Species)11499
  • Odoribacter99 (Metastuie, k = 2)106
    • Different a study according to which Odoribacter were reduced104
    • Odoribacter splanchnicus (Species)104
  • Paraprevotella99
    • Paraprevotella xylaniphila (Species)104
  • Phascolarctobacterium (genus)11298
    • Phascolarctobacterium succinatutens (species)98
  • Prevotellaceae (family)98
    • Prevotella (genus)98
      • Prevotella amnii (species)98
      • Prevotella buccae (species)98
      • Prevotella copri (species)98
    • Prevotella_2 (genus)112
  • Proteobacteria (Phylum)112
  • Roseburia85112 99
    • anti-inflammatory94
  • Ruminococcaceae120
    • Ruminococcus gnavus (Spezie)112 (several sources found a reduced incidence in ADHD; see below)
      • correlated with rule-breaking behavior
      • Produces an inflammation-promoting polysaccharide121
      • Increased occurrence is associated with inflammatory diseases such as Crohn’s disease121 and eczema122
    • Ruminococcus torques Group (meta-analysis, k = 4, n = 627)101; 85
      • Ruminococcaceae UCG013 (genus)85
      • Ruminococcaceae UGC003 (genus)111
        • Correlates with inattention111
  • Streptococcus thermophilus (species)98
  • Succinivibrio103
  • Sutterella stercoricanis (S. stercoricanis) (Species)
    • Increase correlated with intake of dairy products, nuts, seeds, legumes, iron, magnesium100
    • Increase correlated with ADHD symptoms100
  • Veillonella99
    • Veillonella parvula (Species)104
  • Veillonellaceae104

Changes in the frequency of Ruminococcaceae_UGC_004 correlated with inattention.123

4.3.3. Alpha diversity

Alpha diversity (e.g. Shannon and Simpson index) indicates the degree of heterogeneity of taxa within a sample.8124

Study results on the alpha diversity of the gut microbiota in ADHD are inconsistent.
We will collect study results on this topic here.

Meta-analyses, reviews:

  • Several meta-analyses found no change in alpha diversity in ADHD.
    • (k = 4, n = 619 adults)101
    • (k = 9).8
    • also a review125

Studies:

  • unchanged alpha diversity98126 104 105
    • in mice with ADHD86
  • significantly lower α-diversity (Shannon index, observed species, Faith PD index)127

4.3.4. Beta diversity

Beta diversity (e.g. Jaccard distance) indicates the degree of dissimilarity of taxa between samples.8124

Study results on beta diversity of the gut microbiota in ADHD are inconsistent, with a lack of correlation not as clear as with alpha diversity.
We will collect study results on this topic here.

Meta-analyses, reviews:

  • A meta-analysis (k = 4, n = 619 adults) found a significant correlation between beta diversity and ADHD in 3 of the 4 studies.101
  • no deviating beta diversity125
  • A meta-analysis (k = 9) found few differences in beta diversity between people with and without ADHD, mainly in children and adolescents8

Studies:

  • A study on n = 73 subjects found a trend towards the significance of β-diversity (weighted UniFrac).128
  • no relevant change in beta diversity126
  • altered beta diversity in ADHD-C, but not in ADHD-C98
  • increased beta diversity in mice with ADHD86
  • differences were found in both taxonomic and functional beta diversity in n = 136 adults129
  • Children with ADHD (n = 63), had a higher incidence of psychostimulant use (n = 33)129
    • significantly different taxonomic beta diversity
    • lower functional and taxonomic uniformity
    • lower frequency of the strain Bacteroides stercoris CL09T03C01
    • lower frequency of bacterial genes coding for an enzyme of vitamin B12 synthesis
    • higher plasma levels of the vascular inflammation markers sICAM-1 and sVCAM-1

4.3.5. Gut microbiota similar in ADHD and ASD

The gut microbiota in ADHD and ASD are quite similar in both alpha and beta diversity and differ significantly from non-affected individuals.
In addition, a subgroup of ADHD and ASD cases had increased levels of lipopolysaccharide-binding protein, which positively correlated with interleukin IL-8, IL-12 and IL-13, compared to non-affected children. This suggests an intestinal barrier disorder and immune system dysregulation in a subgroup of children with ADHD or ASD.130

Germ-free mice that received a fecal transplant from persons with ADHD subsequently showed131

  • characteristic autistic behaviors
  • alternative splicing of ASD-relevant genes in the brain

When ASD model mice received appropriate microbial metabolites, this improved the behavioral abnormalities and modulated neuronal excitability in the brain.131

4.3.6. Urinary microbiota in ADHD

A study of the urinary microbiome in ADHD found:132

  • a lower alpha diversity in the urine bacteria of the ADHD group
    • reduced Shannon and Simpson indices (p < 0.05)
  • significant differences in beta diversity
  • were common with ADHD:
    • Phyla Firmicutes
    • Actinobacteriota
    • Ralstonia (genus)
    • Afipia (genus)
  • less frequently with ADHD:
    • Phylum Proteobacteria
    • Corynebacterium (genus)
    • Peptoniphilus (genus)
  • Afipia correlated significantly with the Child Behavior Checklist Attention Problems score and the DSM-oriented ADHD subscale

5. Intestinal microbiome and other disorders

5.1. Microbiota against anxiety / depression

5.1.1. Studies on rodents

Lacticaseibacillus rhamnosus JB-1 (Lactobacillus rhamnosus) caused

  • only in non-vagotomized mice:46
    • GABA(B1b) mRNA
      • increased expression in the ACC and prelimbic cortex
      • reduced expression in the hippocampus, amygdala and locus coeruleus
    • GABA(Aα2) mRNA
      • increased in the hippocampus
      • reduced in the amygdala
    • Corticosterone stress response reduced
    • Reduced anxiety behavior
    • Depressive behavior reduced
  • prevented the behavioral changes caused by chronic unpredictable mild stress in rats133
    • reduces anxiety-like behavior
    • depression-like behavior reduced
    • Decrease in glutamine and glutathione levels in the hippocampus avoided
    • Decreases in taurine in the hippocampus.

Acute and chronic administration of the short-chain fatty acid sodium butyrate in addition to fluoxetine significantly reduced immobility values in mice in the tail suspension test by 20-40% compared to administration of only one of the two drugs134
Injection of sodium butyrate caused

  • short-term histone hyperacetylation in the hippocampus and in the PFC
  • a transient, at least 50% increase in the BDNF transcript in the PFC

5.1.2. Studies on humans

Daily administration of a combination of L. helveticus and B. longum in a double-blind, randomized, placebo-controlled study in healthy women and men reduced perceived stress, anxiety and depression levels and 24-hour urinary cortisol levels slightly but statistically significantly.135

Daily administration of Lactobacillus casei Shirota in a double-blind, randomized, placebo-controlled study in patients with chronic fatigue significantly reduced anxiety symptoms, but not depressive symptoms.136

5.2. Microbiota against ASS

5.2.1. Studies on rodents

Fructo-oligosaccharides and galacto-oligosaccharides reduced chronic stress-induced social avoidance, cognitive dysfunction, anhedonia, HPA axis hyperreactivity, and anxiety- and depression-like behavior in mice.137

Limosilactobacillus reuteri administration caused

  • only in non-vagotomized mice
    • Change in social behavior in autism mouse model3
    • Improvement of social behavior in different autism mouse models138
      • via the vagus nerve and oxytocinergic and dopaminergic signaling in the brain
        • not by restoring the composition of the gut microbiome per se
      • by induction of synaptic plasticity in the VTA of ASA mice
        • by (via L. reuteri) increased oxytocin139140 in various ASA mouse models:
          • genetic ASD mouse models
            • Shank3B-/-141138
            • Cntnap2-/-142
              • L. reuteri levels are reduced in Cntnap2-/- mice
              • L. reuteri remedied the deficits of the oxytocin-producing neurons
              • L. reuteri corrected the social deficits in both young and adult Cntnap2-/- (KO-I) mice
              • L. reuteri did not eliminate the hyperactivity typical of Cntnap2-/- mice
          • environmental ASS mouse models
            • VPA138
            • GF138
            • MHFD138
            • Lipopolysaccharides (LPS) (unclear whether via oxytocin)143 (Lacticaseibacillus rhamnosus also had an effect here)
          • idiopathic ASD mouse model (BTBR)138
        • not in mice with missing or blocked oxytocin receptors in dopaminergic neurons

In another study, ASA also correlated with reduced plasticity in the VTA, which was caused by a high-fat diet in the mother. The ASA behavior was transferred from the offspring to germ-free mice.139

In a preclinical ASD mouse model, only L. reuteri strain ATCC-PTA-6475, but not strain DSM-17938, improved social deficits.144

A study on Cntnap2-/- and Cntnap2+/+ mice found that both mouse lines showed the hyperactivity known from this ASD mouse model. In the Cntnap2+/+, however, social behavior was normalized, as was the microbiome. This also indicates that the ASD-typical changes in social behavior are caused by the microbiome 142

The study results with regard to L. reuteri in ASD are impressive. The question mentioned by and in the introduction as to which part of the improvement is due to the administration of specific biota (here: L. reuteri) and which is due to the increase in the diversity of the microbiome through the administration of microbiota should have little relevance here. The argument that people with ADHD could have impaired intestinal flora diversity due to restricted food preferences is certainly worth considering, but should only apply to humans and not to mice. In any case, selective feeding habits of ASD model mice have not been reported so far.
The same applies to possible influences on the oral bacterial flora due to sensory stress, which makes tooth cleaning more difficult.145

B. fragilis improves deficits in communicative, stereotypic, anxiety-like and sensorimotor behavior in an ASD mouse model in which ASD was caused by prenatal virus administration. It also corrected intestinal permeability and altered the microbiome composition.146

5.2.2. Studies on humans

A double-blind, randomized, placebo-controlled study on the effect of L. reuteri in children with ASD found:144

  • significantly improved social functioning across various metrics
  • no change from
    • ASA overall severity
    • repetitive behaviors
    • Microbiome composition
    • Immune profile

A study on children with ASD reports a positive effect of an elimination diet on gastrointestinal complaints and a prebiotic on social behavior.147

5.3. Microbiota and multiple sclerosis

In one study, Limosilactobacillus reuteri improved the severity of experimental autoimmune encephalomyelitis in mice, which serves as a model for multiple sclerosis, indicating a deficiency of L. reuteri in MS.11 In contrast, two other studies found an excess of L. reuteri as a risk factor for MS.1112
It is possible that the gut microbiota and diet could act synergistically in people genetically susceptible to MS, with diet-dependent gut microbial metabolites serving as a key mechanism for the disease. Due to these gene-gut microbiota interactions, specific microbial taxa could have different effects depending on MS risk alleles or other gene polymorphisms, which are also highly dependent on dietary intake. This could explain why results differ across geographic, dietary and genetic conditions. Prophylactic or therapeutic modulation of the gut microbiome to prevent or treat MS would therefore require careful and personalized consideration of genetic makeup, gut microbiota composition and dietary habits.148 This is consistent with the ability of L. helveticus to attenuate anxiety-like behavior in mice only as a function of genotype diet.149

Applied to other disorders, contradictory results of effects of certain microbiota on certain symptoms should be regarded as a warning against careless testing of the effect on individuals.

5.4. Mirobiota and systemic lupus erythematosus (SLE)

In the Toll-like receptor 7 (TLR7) mouse model of systemic lupus erythematosus (SLE), L. reuteri increased autoimmune manifestations under specific-pathogenic and gnotobiotic conditions, particularly through an increase in plasmacytoid dendritic cells and interferon signaling. The incidence and translocation of L. reuteri to other organs could be reduced by resistant starch in the diet using SCFA. Resistant starch also reduced plasmacytoid dendritic cells, interferon signaling and mortality.150


  1. Hinghofer-Szalkay: Hirnnerven

  2. Checa-Ros A, Jeréz-Calero A, Molina-Carballo A, Campoy C, Muñoz-Hoyos A (2021): Current Evidence on the Role of the Gut Microbiome in ADHD Pathophysiology and Therapeutic Implications. Nutrients. 2021 Jan 16;13(1):249. doi: 10.3390/nu13010249. PMID: 33467150; PMCID: PMC7830868. REVIEW

  3. Cryan JF, O’Riordan KJ, Cowan CSM, Sandhu KV, Bastiaanssen TFS, Boehme M, Codagnone MG, Cussotto S, Fulling C, Golubeva AV, Guzzetta KE, Jaggar M, Long-Smith CM, Lyte JM, Martin JA, Molinero-Perez A, Moloney G, Morelli E, Morillas E, O’Connor R, Cruz-Pereira JS, Peterson VL, Rea K, Ritz NL, Sherwin E, Spichak S, Teichman EM, van de Wouw M, Ventura-Silva AP, Wallace-Fitzsimons SE, Hyland N, Clarke G, Dinan TG (2019): The Microbiota-Gut-Brain Axis. Physiol Rev. 2019 Oct 1;99(4):1877-2013. doi: 10.1152/physrev.00018.2018. PMID: 31460832. REVIEW

  4. Diaz Heijtz R, Wang S, Anuar F, Qian Y, Björkholm B, Samuelsson A, Hibberd ML, Forssberg H, Pettersson S (2011): Normal gut microbiota modulates brain development and behavior. Proc Natl Acad Sci U S A. 2011 Feb 15;108(7):3047-52. doi: 10.1073/pnas.1010529108. PMID: 21282636; PMCID: PMC3041077.

  5. Luczynski P, McVey Neufeld KA, Oriach CS, Clarke G, Dinan TG, Cryan JF (2016): Growing up in a Bubble: Using Germ-Free Animals to Assess the Influence of the Gut Microbiota on Brain and Behavior. Int J Neuropsychopharmacol. 2016 Aug 12;19(8):pyw020. doi: 10.1093/ijnp/pyw020. PMID: 26912607; PMCID: PMC5006193. REVIEW

  6. Carabotti M, Scirocco A, Maselli MA, Severi C (2015): The gut-brain axis: interactions between enteric microbiota, central and enteric nervous systems. Ann Gastroenterol. 2015 Apr-Jun;28(2):203-209. PMID: 25830558; PMCID: PMC4367209. REVIEW

  7. Barrio C, Arias-Sánchez S, Martín-Monzón I (2022): The gut microbiota-brain axis, psychobiotics and its influence on brain and behaviour: A systematic review. Psychoneuroendocrinology. 2022 Mar;137:105640. doi: 10.1016/j.psyneuen.2021.105640. PMID: 34942539. REVIEW

  8. Lewis N, Villani A, Lagopoulos J (2025): Gut dysbiosis as a driver of neuroinflammation in attention-deficit/hyperactivity disorder: A review of current evidence. Neuroscience. 2025 Mar 17;569:298-321. doi: 10.1016/j.neuroscience.2025.01.031. PMID: 39848564. REVIEW

  9. Li FJ, Zhang RY, Li JY, Liu YN, Zhang ZX, Du L, Li YD, Liu X, Zhang W, Cui GY, Xu CY (2024): Pain, obesity, adenosine salvage disruption, and smoking behavior mediate the effect of gut microbiota on sleep disorders: results from network Mendelian randomization and 16S rDNA sequencing. Front Microbiol. 2024 Jul 31;15:1413218. doi: 10.3389/fmicb.2024.1413218. PMID: 39144232; PMCID: PMC11322093.

  10. Huang Y, Cao J, Zhu M, Wang Z, Jin Z, Xiong Z (2024): Bacteroides fragilis aggravates high-fat diet-induced non-alcoholic fatty liver disease by regulating lipid metabolism and remodeling gut microbiota. Microbiol Spectr. 2024 Apr 2;12(4):e0339323. doi: 10.1128/spectrum.03393-23. PMID: 38411057; PMCID: PMC10986510.

  11. He B, Hoang TK, Tian X, Taylor CM, Blanchard E, Luo M, Bhattacharjee MB, Freeborn J, Park S, Couturier J, Lindsey JW, Tran DQ, Rhoads JM, Liu Y (2019): Lactobacillus reuteri Reduces the Severity of Experimental Autoimmune Encephalomyelitis in Mice by Modulating Gut Microbiota. Front Immunol. 2019 Mar 7;10:385. doi: 10.3389/fimmu.2019.00385. PMID: 30899262; PMCID: PMC6416370.

  12. Montgomery TL, Künstner A, Kennedy JJ, Fang Q, Asarian L, Culp-Hill R, D’Alessandro A, Teuscher C, Busch H, Krementsov DN (2020): Interactions between host genetics and gut microbiota determine susceptibility to CNS autoimmunity. Proc Natl Acad Sci U S A. 2020 Nov 3;117(44):27516-27527. doi: 10.1073/pnas.2002817117. PMID: 33077601; PMCID: PMC7959502.

  13. Li W, Dowd SE, Scurlock B, Acosta-Martinez V, Lyte M (2009): Memory and learning behavior in mice is temporally associated with diet-induced alterations in gut bacteria. Physiol Behav. 2009 Mar 23;96(4-5):557-67. doi: 10.1016/j.physbeh.2008.12.004. PMID: 19135464.

  14. Forsythe P, Kunze W, Bienenstock J (2016): Moody microbes or fecal phrenology: what do we know about the microbiota-gut-brain axis? BMC Med. 2016 Apr 19;14:58. doi: 10.1186/s12916-016-0604-8. PMID: 27090095; PMCID: PMC4836158.

  15. Yano JM, Yu K, Donaldson GP, Shastri GG, Ann P, Ma L, Nagler CR, Ismagilov RF, Mazmanian SK, Hsiao EY (2015): Indigenous bacteria from the gut microbiota regulate host serotonin biosynthesis. Cell. 2015 Apr 9;161(2):264-76. doi: 10.1016/j.cell.2015.02.047. Erratum in: Cell. 2015 Sep 24;163:258. PMID: 25860609; PMCID: PMC4393509.

  16. Kwak MJ, Kim SH, Kim HH, Tanpure R, Kim JI, Jeon BH, Park HK (2023): Psychobiotics and fecal microbial transplantation for autism and attention-deficit/hyperactivity disorder: microbiome modulation and therapeutic mechanisms. Front Cell Infect Microbiol. 2023 Jul 24;13:1238005. doi: 10.3389/fcimb.2023.1238005. PMID: 37554355; PMCID: PMC10405178. REVIEW

  17. Haas-Neill S, Forsythe P (2020): A Budding Relationship: Bacterial Extracellular Vesicles in the Microbiota-Gut-Brain Axis. Int J Mol Sci. 2020 Nov 24;21(23):8899. doi: 10.3390/ijms21238899. PMID: 33255332; PMCID: PMC7727686. REVIEW

  18. Perez-Burgos A, Mao YK, Bienenstock J, Kunze WA (2014): The gut-brain axis rewired: adding a functional vagal nicotinic “sensory synapse”. FASEB J. 2014 Jul;28(7):3064-74. doi: 10.1096/fj.13-245282. PMID: 24719355.

  19. Zhi J, Zhang S, Huang M, Qin H, Xu H, Chang Q, Wang Y (2024): Transcutaneous auricular vagus nerve stimulation as a potential therapy for attention deficit hyperactivity disorder: modulation of the noradrenergic pathway in the prefrontal lobe. Front Neurosci. 2024 Dec 4;18:1494272. doi: 10.3389/fnins.2024.1494272. PMID: 39697776; PMCID: PMC11652481. REVIEW

  20. Liu B, Wanders A, Wirdefeldt K, Sjölander A, Sachs MC, Eberhardson M, Ye W, Ekbom A, Olén O, Ludvigsson JF (2020): Vagotomy and subsequent risk of inflammatory bowel disease: a nationwide register-based matched cohort study. Aliment Pharmacol Ther. 2020 Jun;51(11):1022-1030. doi: 10.1111/apt.15715. PMID: 32319125.

  21. Zou Q, Han S, Liang J, Yan G, Wang Q, Wang Y, Zhang Z, Hu J, Li J, Yuan T, Liu Z (2024): Alleviating effect of vagus nerve cutting in Salmonella-induced gut infections and anxiety-like behavior via enhancing microbiota-derived GABA. Brain Behav Immun. 2024 Jul;119:607-620. doi: 10.1016/j.bbi.2024.04.034. PMID: 38663772.

  22. Cordella F, Sanchini C, Rosito M, Ferrucci L, Pediconi N, Cortese B, Guerrieri F, Pascucci GR, Antonangeli F, Peruzzi G, Giubettini M, Basilico B, Pagani F, Grimaldi A, D’Alessandro G, Limatola C, Ragozzino D, Di Angelantonio S (2021): Antibiotics Treatment Modulates Microglia-Synapses Interaction. Cells. 2021 Oct 4;10(10):2648. doi: 10.3390/cells10102648. PMID: 34685628; PMCID: PMC8534187.

  23. Bercik P, Denou E, Collins J, Jackson W, Lu J, Jury J, Deng Y, Blennerhassett P, Macri J, McCoy KD, Verdu EF, Collins SM (2011): The intestinal microbiota affect central levels of brain-derived neurotropic factor and behavior in mice. Gastroenterology. 2011 Aug;141(2):599-609, 609.e1-3. doi: 10.1053/j.gastro.2011.04.052. PMID: 21683077.

  24. Desbonnet L, Clarke G, Traplin A, O’Sullivan O, Crispie F, Moloney RD, Cotter PD, Dinan TG, Cryan JF (2015): Gut microbiota depletion from early adolescence in mice: Implications for brain and behaviour. Brain Behav Immun. 2015 Aug;48:165-73. doi: 10.1016/j.bbi.2015.04.004. PMID: 25866195.

  25. O’Mahony SM, Felice VD, Nally K, Savignac HM, Claesson MJ, Scully P, Woznicki J, Hyland NP, Shanahan F, Quigley EM, Marchesi JR, O’Toole PW, Dinan TG, Cryan JF (2014): Disturbance of the gut microbiota in early-life selectively affects visceral pain in adulthood without impacting cognitive or anxiety-related behaviors in male rats. Neuroscience. 2014 Sep 26;277:885-901. doi: 10.1016/j.neuroscience.2014.07.054. PMID: 25088912.

  26. Xu D, Gao J, Gillilland M 3rd, Wu X, Song I, Kao JY, Owyang C (2014): Rifaximin alters intestinal bacteria and prevents stress-induced gut inflammation and visceral hyperalgesia in rats. Gastroenterology. 2014 Feb;146(2):484-96.e4. doi: 10.1053/j.gastro.2013.10.026. PMID: 24161699; PMCID: PMC3939606.

  27. Jakobi B, Cimetti C, Mulder D, Vlaming P, Franke B, Hoogman M, Arias-Vasquez A (2024): The Role of Diet and the Gut Microbiota in Reactive Aggression and Adult ADHD-An Exploratory Analysis. Nutrients. 2024 Jul 9;16(14):2174. doi: 10.3390/nu16142174. PMID: 39064617; PMCID: PMC11279949.

  28. Bull-Larsen, Mohajeri (2019): The Potential Influence of the Bacterial Microbiome on the Development and Progression of ADHD. Nutrients. 2019 Nov 17;11(11). pii: E2805. doi: 10.3390/nu11112805. REVIEW

  29. Fristedt R, Ruppert V, Trower T, Cooney J, Landberg R (2024): Quantitation of circulating short-chain fatty acids in small volume blood samples from animals and humans. Talanta. 2024 May 15;272:125743. doi: 10.1016/j.talanta.2024.125743. PMID: 38382298.

  30. van de Wouw M, Boehme M, Lyte JM, Wiley N, Strain C, O’Sullivan O, Clarke G, Stanton C, Dinan TG, Cryan JF (2018): Short-chain fatty acids: microbial metabolites that alleviate stress-induced brain-gut axis alterations. J Physiol. 2018 Oct;596(20):4923-4944. doi: 10.1113/JP276431. PMID: 30066368; PMCID: PMC6187046.

  31. Janik, Thomason, Stanisz, Forsythe, Bienenstock, Stanisz (2016): Magnetic resonance spectroscopy reveals oral Lactobacillus promotion of increases in brain GABA, N-acetyl aspartate and glutamate. Neuroimage. 2016 Jan 15;125:988-995. doi: 10.1016/j.neuroimage.2015.11.018.

  32. Kelly JR, Borre Y, O’ Brien C, Patterson E, El Aidy S, Deane J, Kennedy PJ, Beers S, Scott K, Moloney G, Hoban AE, Scott L, Fitzgerald P, Ross P, Stanton C, Clarke G, Cryan JF, Dinan TG (2016): Transferring the blues: Depression-associated gut microbiota induces neurobehavioural changes in the rat. J Psychiatr Res. 2016 Nov;82:109-18. doi: 10.1016/j.jpsychires.2016.07.019. PMID: 27491067.

  33. Lu J, Jiang M, Chai D, Sun Y, Wu L (2025): Integrative analysis of intestinal flora and untargeted metabolomics in attention-deficit/hyperactivity disorder. Front Microbiol. 2025 Jan 29;16:1452423. doi: 10.3389/fmicb.2025.1452423. Erratum in: Front Microbiol. 2025 Feb 27;16:1576969. doi: 10.3389/fmicb.2025.1576969. PMID: 39944648; PMCID: PMC11817268.

  34. Harigai W, Mikami K, Choudhury ME, Yamauchi H, Yajima C, Shimizu S, Miyaue N, Nagai M, Kubo M, Tanaka J, Katayama T (2025): Effects of fecal microbiota transplantation on behavioral abnormality in attention deficit hyperactivity disorder-like model rats. J Pharmacol Sci. 2025 Mar;157(3):189-198. doi: 10.1016/j.jphs.2025.01.007. PMID: 39929593.

  35. Demaude J, Salvador-Cartier C, Fioramonti J, Ferrier L, Bueno L (2006): Phenotypic changes in colonocytes following acute stress or activation of mast cells in mice: implications for delayed epithelial barrier dysfunction. Gut. 2006 May;55(5):655-61. doi: 10.1136/gut.2005.078675. PMID: 16299034; PMCID: PMC1856132.

  36. Sudo N (2014): Microbiome, HPA axis and production of endocrine hormones in the gut. Adv Exp Med Biol. 2014;817:177-94. doi: 10.1007/978-1-4939-0897-4_8. PMID: 24997034.

  37. De Palma G, Blennerhassett P, Lu J, Deng Y, Park AJ, Green W, Denou E, Silva MA, Santacruz A, Sanz Y, Surette MG, Verdu EF, Collins SM, Bercik P (2015): Microbiota and host determinants of behavioural phenotype in maternally separated mice. Nat Commun. 2015 Jul 28;6:7735. doi: 10.1038/ncomms8735. PMID: 26218677.

  38. Strandwitz P (2018): Neurotransmitter modulation by the gut microbiota. Brain Res. 2018 Aug 15;1693(Pt B):128-133. doi: 10.1016/j.brainres.2018.03.015. PMID: 29903615; PMCID: PMC6005194. REVIEW

  39. Erny D, Hrabě de Angelis AL, Jaitin D, Wieghofer P, Staszewski O, David E, Keren-Shaul H, Mahlakoiv T, Jakobshagen K, Buch T, Schwierzeck V, Utermöhlen O, Chun E, Garrett WS, McCoy KD, Diefenbach A, Staeheli P, Stecher B, Amit I, Prinz M (2015): Host microbiota constantly control maturation and function of microglia in the CNS. Nat Neurosci. 2015 Jul;18(7):965-77. doi: 10.1038/nn.4030. PMID: 26030851; PMCID: PMC5528863.

  40. Braniste V, Al-Asmakh M, Kowal C, Anuar F, Abbaspour A, Tóth M, Korecka A, Bakocevic N, Ng LG, Kundu P, Gulyás B, Halldin C, Hultenby K, Nilsson H, Hebert H, Volpe BT, Diamond B, Pettersson S (2014): The gut microbiota influences blood-brain barrier permeability in mice. Sci Transl Med. 2014 Nov 19;6(263):263ra158. doi: 10.1126/scitranslmed.3009759. Erratum in: Sci Transl Med. 2014 Dec 10;6(266):266er7. Guan, Ng Lai [corrected to Ng, Lai Guan]. PMID: 25411471; PMCID: PMC4396848.

  41. Thomas CM, Hong T, van Pijkeren JP, Hemarajata P, Trinh DV, Hu W, Britton RA, Kalkum M, Versalovic J (2012): Histamine derived from probiotic Lactobacillus reuteri suppresses TNF via modulation of PKA and ERK signaling. PLoS One. 2012;7(2):e31951. doi: 10.1371/journal.pone.0031951. PMID: 22384111; PMCID: PMC3285189.

  42. Galland L. The gut microbiome and the brain (2014): J Med Food. 2014 Dec;17(12):1261-72. doi: 10.1089/jmf.2014.7000. PMID: 25402818; PMCID: PMC4259177. REVIEW

  43. Lyte M (2011): Probiotics function mechanistically as delivery vehicles for neuroactive compounds: Microbial endocrinology in the design and use of probiotics. Bioessays. 2011 Aug;33(8):574-81. doi: 10.1002/bies.201100024. PMID: 21732396.

  44. Maini Rekdal V, Bess EN, Bisanz JE, Turnbaugh PJ, Balskus EP (2019): Discovery and inhibition of an interspecies gut bacterial pathway for Levodopa metabolism. Science. 2019 Jun 14;364(6445):eaau6323. doi: 10.1126/science.aau6323. PMID: 31196984; PMCID: PMC7745125.

  45. O’Mahony SM, Clarke G, Borre YE, Dinan TG, Cryan JF (2015): Serotonin, tryptophan metabolism and the brain-gut-microbiome axis. Behav Brain Res. 2015 Jan 15;277:32-48. doi: 10.1016/j.bbr.2014.07.027. PMID: 25078296. REVIEW

  46. Bravo JA, Forsythe P, Chew MV, Escaravage E, Savignac HM, Dinan TG, Bienenstock J, Cryan JF (2011): Ingestion of Lactobacillus strain regulates emotional behavior and central GABA receptor expression in a mouse via the vagus nerve. Proc Natl Acad Sci U S A. 2011 Sep 20;108(38):16050-5. doi: 10.1073/pnas.1102999108. PMID: 21876150; PMCID: PMC3179073.

  47. Macia L, Nanan R, Hosseini-Beheshti E, Grau GE (2019): Host- and Microbiota-Derived Extracellular Vesicles, Immune Function, and Disease Development. Int J Mol Sci. 2019 Dec 22;21(1):107. doi: 10.3390/ijms21010107. PMID: 31877909; PMCID: PMC6982009. REVIEW

  48. Lee EY, Bang JY, Park GW, Choi DS, Kang JS, Kim HJ, Park KS, Lee JO, Kim YK, Kwon KH, Kim KP, Gho YS (2007): Global proteomic profiling of native outer membrane vesicles derived from Escherichia coli. Proteomics. 2007 Sep;7(17):3143-53. doi: 10.1002/pmic.200700196. Erratum in: Proteomics. 2007 Oct;7(20):3821. PMID: 17787032.

  49. Yaghoubfar R, Behrouzi A, Ashrafian F, Shahryari A, Moradi HR, Choopani S, Hadifar S, Vaziri F, Nojoumi SA, Fateh A, Khatami S, Siadat SD (2020): Modulation of serotonin signaling/metabolism by Akkermansia muciniphila and its extracellular vesicles through the gut-brain axis in mice. Sci Rep. 2020 Dec 17;10(1):22119. doi: 10.1038/s41598-020-79171-8. PMID: 33335202; PMCID: PMC7747642.

  50. Chelakkot C, Choi Y, Kim DK, Park HT, Ghim J, Kwon Y, Jeon J, Kim MS, Jee YK, Gho YS, Park HS, Kim YK, Ryu SH (2018): Akkermansia muciniphila-derived extracellular vesicles influence gut permeability through the regulation of tight junctions. Exp Mol Med. 2018 Feb 23;50(2):e450. doi: 10.1038/emm.2017.282. PMID: 29472701; PMCID: PMC5903829.

  51. Jones EJ, Booth C, Fonseca S, Parker A, Cross K, Miquel-Clopés A, Hautefort I, Mayer U, Wileman T, Stentz R, Carding SR (2020): The Uptake, Trafficking, and Biodistribution of Bacteroides thetaiotaomicron Generated Outer Membrane Vesicles. Front Microbiol. 2020 Feb 6;11:57. doi: 10.3389/fmicb.2020.00057. PMID: 32117106; PMCID: PMC7015872.

  52. Jang SC, Kim SR, Yoon YJ, Park KS, Kim JH, Lee J, Kim OY, Choi EJ, Kim DK, Choi DS, Kim YK, Park J, Di Vizio D, Gho YS (2015): In vivo kinetic biodistribution of nano-sized outer membrane vesicles derived from bacteria. Small. 2015 Jan 27;11(4):456-61. doi: 10.1002/smll.201401803. PMID: 25196673.

  53. Han EC, Choi SY, Lee Y, Park JW, Hong SH, Lee HJ (2019): Extracellular RNAs in periodontopathogenic outer membrane vesicles promote TNF-α production in human macrophages and cross the blood-brain barrier in mice. FASEB J. 2019 Dec;33(12):13412-13422. doi: 10.1096/fj.201901575R. PMID: 31545910; PMCID: PMC6894046.

  54. Kang CS, Ban M, Choi EJ, Moon HG, Jeon JS, Kim DK, Park SK, Jeon SG, Roh TY, Myung SJ, Gho YS, Kim JG, Kim YK (2013): Extracellular vesicles derived from gut microbiota, especially Akkermansia muciniphila, protect the progression of dextran sulfate sodium-induced colitis. PLoS One. 2013 Oct 24;8(10):e76520. doi: 10.1371/journal.pone.0076520. PMID: 24204633; PMCID: PMC3811976.

  55. Reichert (2024) Zelluläre Interaktion - Untersuchungen zur inter- und intraspezies Kommunikation durch Extrazelluläre Vesikel, Dissertation german

  56. Dahlqvist A, Hellström S, Carlsöö B, Pequignot JM (1987): Paraganglia of the rat recurrent laryngeal nerve after long-term hypoxia: a morphometric and biochemical study. J Neurocytol. 1987 Jun;16(3):289-97. doi: 10.1007/BF01611341. PMID: 3612181.

  57. Wang X, Cui X, Wu J, Bao L, Tan Z, Chen C (2023): Peripheral nerves directly mediate the transneuronal translocation of silver nanomaterials from the gut to central nervous system. Sci Adv. 2023 Jul 7;9(27):eadg2252. doi: 10.1126/sciadv.adg2252. PMID: 37418525; PMCID: PMC10328400.

  58. Challis C, Hori A, Sampson TR, Yoo BB, Challis RC, Hamilton AM, Mazmanian SK, Volpicelli-Daley LA, Gradinaru V (2020): Gut-seeded α-synuclein fibrils promote gut dysfunction and brain pathology specifically in aged mice. Nat Neurosci. 2020 Mar;23(3):327-336. doi: 10.1038/s41593-020-0589-7. PMID: 32066981; PMCID: PMC7065967.

  59. Liu B, Fang F, Pedersen NL, Tillander A, Ludvigsson JF, Ekbom A, Svenningsson P, Chen H, Wirdefeldt K (2017): Vagotomy and Parkinson disease: A Swedish register-based matched-cohort study. Neurology. 2017 May 23;88(21):1996-2002. doi: 10.1212/WNL.0000000000003961. PMID: 28446653; PMCID: PMC5440238.

  60. Svensson E, Horváth-Puhó E, Thomsen RW, Djurhuus JC, Pedersen L, Borghammer P, Sørensen HT (2015): Vagotomy and subsequent risk of Parkinson’s disease. Ann Neurol. 2015 Oct;78(4):522-9. doi: 10.1002/ana.24448. PMID: 26031848.

  61. Aarts, Ederveen, Naaijen, Zwiers, Boekhorst, Timmerman, Smeekens, Netea, Buitelaar, Franke, van Hijum, Arias Vasquez (2017): Gut microbiome in ADHD and its relation to neural reward anticipation. PLoS One. 2017 Sep 1;12(9):e0183509. doi: 10.1371/journal.pone.0183509. PMID: 28863139; PMCID: PMC5581161.

  62. Thiennimitr P, Yasom S, Tunapong W, Chunchai T, Wanchai K, Pongchaidecha A, Lungkaphin A, Sirilun S, Chaiyasut C, Chattipakorn N, Chattipakorn SC (2018): Lactobacillus paracasei HII01, xylooligosaccharides, and synbiotics reduce gut disturbance in obese rats. Nutrition. 2018 Oct;54:40-47. doi: 10.1016/j.nut.2018.03.005. PMID: 29705500.

  63. Pellegrini S, Sordi V, Bolla AM, Saita D, Ferrarese R, Canducci F, Clementi M, Invernizzi F, Mariani A, Bonfanti R, Barera G, Testoni PA, Doglioni C, Bosi E, Piemonti L (2017): Duodenal Mucosa of Patients With Type 1 Diabetes Shows Distinctive Inflammatory Profile and Microbiota. J Clin Endocrinol Metab. 2017 May 1;102(5):1468-1477. doi: 10.1210/jc.2016-3222. PMID: 28324102.

  64. Magne F, Gotteland M, Gauthier L, Zazueta A, Pesoa S, Navarrete P, Balamurugan R (2020): The Firmicutes/Bacteroidetes Ratio: A Relevant Marker of Gut Dysbiosis in Obese Patients? Nutrients. 2020 May 19;12(5):1474. doi: 10.3390/nu12051474. PMID: 32438689; PMCID: PMC7285218. REVIEW

  65. Balamurugan R, George G, Kabeerdoss J, Hepsiba J, Chandragunasekaran AM, Ramakrishna BS (2010): Quantitative differences in intestinal Faecalibacterium prausnitzii in obese Indian children. Br J Nutr. 2010 Feb;103(3):335-8. doi: 10.1017/S0007114509992182. PMID: 19849869.

  66. Furet JP, Kong LC, Tap J, Poitou C, Basdevant A, Bouillot JL, Mariat D, Corthier G, Doré J, Henegar C, Rizkalla S, Clément K (2010): Differential adaptation of human gut microbiota to bariatric surgery-induced weight loss: links with metabolic and low-grade inflammation markers. Diabetes. 2010 Dec;59(12):3049-57. doi: 10.2337/db10-0253. PMID: 20876719; PMCID: PMC2992765.

  67. Grigor’eva IN (2020): Gallstone Disease, Obesity and the Firmicutes/Bacteroidetes Ratio as a Possible Biomarker of Gut Dysbiosis. J Pers Med. 2020 Dec 25;11(1):13. doi: 10.3390/jpm11010013. PMID: 33375615; PMCID: PMC7823692. REVIEW

  68. Williams BL, Hornig M, Buie T, Bauman ML, Cho Paik M, Wick I, Bennett A, Jabado O, Hirschberg DL, Lipkin WI (2011): Impaired carbohydrate digestion and transport and mucosal dysbiosis in the intestines of children with autism and gastrointestinal disturbances. PLoS One. 2011;6(9):e24585. doi: 10.1371/journal.pone.0024585. PMID: 21949732; PMCID: PMC3174969.

  69. Tomova A, Husarova V, Lakatosova S, Bakos J, Vlkova B, Babinska K, Ostatnikova D (2015): Gastrointestinal microbiota in children with autism in Slovakia. Physiol Behav. 2015 Jan;138:179-87. doi: 10.1016/j.physbeh.2014.10.033. PMID: 25446201.

  70. Song Y, Liu C, Finegold SM (2004): Real-time PCR quantitation of clostridia in feces of autistic children. Appl Environ Microbiol. 2004 Nov;70(11):6459-65. doi: 10.1128/AEM.70.11.6459-6465.2004. PMID: 15528506; PMCID: PMC525120.

  71. Adams JB, Johansen LJ, Powell LD, Quig D, Rubin RA (2011): Gastrointestinal flora and gastrointestinal status in children with autism–comparisons to typical children and correlation with autism severity. BMC Gastroenterol. 2011 Mar 16;11:22. doi: 10.1186/1471-230X-11-22. PMID: 21410934; PMCID: PMC3072352.

  72. Finegold SM, Dowd SE, Gontcharova V, Liu C, Henley KE, Wolcott RD, Youn E, Summanen PH, Granpeesheh D, Dixon D, Liu M, Molitoris DR, Green JA 3rd (2010): Pyrosequencing study of fecal microflora of autistic and control children. Anaerobe. 2010 Aug;16(4):444-53. doi: 10.1016/j.anaerobe.2010.06.008. PMID: 20603222.

  73. Lewandowska-Pietruszka Z, Figlerowicz M, Mazur-Melewska K (2023): Microbiota in Autism Spectrum Disorder: A Systematic Review. Int J Mol Sci. 2023 Nov 23;24(23):16660. doi: 10.3390/ijms242316660. PMID: 38068995; PMCID: PMC10706819. REVIEW

  74. Iglesias-Vázquez L, Van Ginkel Riba G, Arija V, Canals J (2020): Composition of Gut Microbiota in Children with Autism Spectrum Disorder: A Systematic Review and Meta-Analysis. Nutrients. 2020 Mar 17;12(3):792. doi: 10.3390/nu12030792. PMID: 32192218; PMCID: PMC7146354. METASTUDY

  75. Sudo N, Chida Y, Aiba Y, Sonoda J, Oyama N, Yu XN, Kubo C, Koga Y (2004): Postnatal microbial colonization programs the hypothalamic-pituitary-adrenal system for stress response in mice. J Physiol. 2004 Jul 1;558(Pt 1):263-75. doi: 10.1113/jphysiol.2004.063388. PMID: 15133062; PMCID: PMC1664925.

  76. Bonaz B, Bazin T, Pellissier S (2018): The Vagus Nerve at the Interface of the Microbiota-Gut-Brain Axis. Front Neurosci. 2018 Feb 7;12:49. doi: 10.3389/fnins.2018.00049. PMID: 29467611; PMCID: PMC5808284. REVIEW

  77. Borrego-Ruiz A, Borrego JJ (2024): Neurodevelopmental Disorders Associated with Gut Microbiome Dysbiosis in Children. Children (Basel). 2024 Jun 28;11(7):796. doi: 10.3390/children11070796. PMID: 39062245; PMCID: PMC11275248. REVIEW

  78. Thomas SP, Denu JM (2021): Short-chain fatty acids activate acetyltransferase p300. Elife. 2021 Oct 22;10:e72171. doi: 10.7554/eLife.72171. PMID: 34677127; PMCID: PMC8585482.

  79. Ntorla A, Burgoyne JR (2021): The Regulation and Function of Histone Crotonylation. Front Cell Dev Biol. 2021 Apr 6;9:624914. doi: 10.3389/fcell.2021.624914. PMID: 33889571; PMCID: PMC8055951. REVIEW

  80. Fellows R, Denizot J, Stellato C, Cuomo A, Jain P, Stoyanova E, Balázsi S, Hajnády Z, Liebert A, Kazakevych J, Blackburn H, Corrêa RO, Fachi JL, Sato FT, Ribeiro WR, Ferreira CM, Perée H, Spagnuolo M, Mattiuz R, Matolcsi C, Guedes J, Clark J, Veldhoen M, Bonaldi T, Vinolo MAR, Varga-Weisz P (2018): Microbiota derived short chain fatty acids promote histone crotonylation in the colon through histone deacetylases. Nat Commun. 2018 Jan 9;9(1):105. doi: 10.1038/s41467-017-02651-5. PMID: 29317660; PMCID: PMC5760624.

  81. Gates LA, Reis BS, Lund PJ, Paul MR, Leboeuf M, Djomo AM, Nadeem Z, Lopes M, Vitorino FN, Unlu G, Carroll TS, Birsoy K, Garcia BA, Mucida D, Allis CD (2024): Histone butyrylation in the mouse intestine is mediated by the microbiota and associated with regulation of gene expression. Nat Metab. 2024 Apr;6(4):697-707. doi: 10.1038/s42255-024-00992-2. PMID: 38413806; PMCID: PMC11520355.

  82. D’Alessandro G, Marrocco F, Limatola C (2022): Microglial cells: Sensors for neuronal activity and microbiota-derived molecules. Front Immunol. 2022 Nov 8;13:1011129. doi: 10.3389/fimmu.2022.1011129. PMID: 36426369; PMCID: PMC9679421. REVIEW

  83. Spichak S, Donoso F, Moloney GM, Gunnigle E, Brown JM, Codagnone M, Dinan TG, Cryan JF (2021): Microbially-derived short-chain fatty acids impact astrocyte gene expression in a sex-specific manner. Brain Behav Immun Health. 2021 Aug 6;16:100318. doi: 10.1016/j.bbih.2021.100318. PMID: 34589808; PMCID: PMC8474187.

  84. Clare CE, Brassington AH, Kwong WY, Sinclair KD (2019): One-Carbon Metabolism: Linking Nutritional Biochemistry to Epigenetic Programming of Long-Term Development. Annu Rev Anim Biosci. 2019 Feb 15;7:263-287. doi: 10.1146/annurev-animal-020518-115206. PMID: 30412672. REVIEW

  85. Wang L, Xie Z, Li G, Li G, Liang J (2023): Two-sample Mendelian randomization analysis investigates causal associations between gut microbiota and attention deficit hyperactivity disorder. Front Microbiol. 2023 Apr 24;14:1144851. doi: 10.3389/fmicb.2023.1144851. PMID: 37168108; PMCID: PMC10166206.

  86. Tengeler, Dam, Wiesmann, Naaijen, van Bodegom, Belzer, Dederen, Verweij, Franke, Kozicz, Arias Vasquez, Kiliaan (2020): Gut microbiota from persons with attention-deficit/hyperactivity disorder affects the brain in mice. Microbiome. 2020 Apr 1;8(1):44. doi: 10.1186/s40168-020-00816-x. PMID: 32238191; PMCID: PMC7114819.

  87. Hooi, Dwiyanto, Rasiti, Toh, Wong RKM, Lee JWJ (2022): A case report of improvement on ADHD symptoms after fecal microbiota transplantation with gut microbiome profiling pre- and post-procedure. Curr Med Res Opin. 2022 Sep 26:1-13. doi: 10.1080/03007995.2022.2129232. PMID: 36164761.

  88. Swann JR, Diaz Heijtz R, Mayneris-Perxachs J, Arora A, Isaksson J, Bölte S, Tammimies K (2023): Characterizing the metabolomic signature of attention-deficit hyperactivity disorder in twins. Neuropharmacology. 2023 Apr 24:109562. doi: 10.1016/j.neuropharm.2023.109562. PMID: 37100381.

  89. Jadhav KS, Peterson VL, Halfon O, Ahern G, Fouhy F, Stanton C, Dinan TG, Cryan JF, Boutrel B (2018): Gut microbiome correlates with altered striatal dopamine receptor expression in a model of compulsive alcohol seeking. Neuropharmacology. 2018 Oct;141:249-259. doi: 10.1016/j.neuropharm.2018.08.026. PMID: 30172845.

  90. He Y, Zhao J, Ma Y, Yan X, Duan Y, Zhang X, Dong H, Fang R, Zhang Y, Li Q, Yang P, Yu M, Fei J, Huang F (2024): Citrobacter rodentium infection impairs dopamine metabolism and exacerbates the pathology of Parkinson’s disease in mice. J Neuroinflammation. 2024 Jun 7;21(1):153. doi: 10.1186/s12974-024-03145-0. PMID: 38849869; PMCID: PMC11161935.

  91. Yang LL, Stiernborg M, Skott E, Gillberg T, Landberg R, Giacobini M, Lavebratt C (2022): Lower plasma concentrations of short-chain fatty acids (SCFAs) in patients with ADHD. J Psychiatr Res. 2022 Sep 28;156:36-43. doi: 10.1016/j.jpsychires.2022.09.042. PMID: 36228390. n = 269

  92. Yang LL, Stiernborg M, Skott E, Xu J, Wu Y, Landberg R, Arefin S, Kublickiene K, Millischer V, Nilsson IAK, Schalling M, Giacobini M, Lavebratt C (2023): Effects of a Synbiotic on Plasma Immune Activity Markers and Short-Chain Fatty Acids in Children and Adults with ADHD-A Randomized Controlled Trial. Nutrients. 2023 Mar 6;15(5):1293. doi: 10.3390/nu15051293. PMID: 36904292; PMCID: PMC10004766.

  93. Di Gesù CM, Buffington SA (2024): The early life exposome and autism risk: a role for the maternal microbiome? Gut Microbes. 2024 Jan-Dec;16(1):2385117. doi: 10.1080/19490976.2024.2385117. PMID: 39120056; PMCID: PMC11318715. REVIEW

  94. Eicher, Mohajeri (2022): Overlapping Mechanisms of Action of Brain-Active Bacteria and Bacterial Metabolites in the Pathogenesis of Common Brain Diseases. Nutrients. 2022 Jun 27;14(13):2661. doi: 10.3390/nu14132661. PMID: 35807841.

  95. Borre, O’Keeffe, Clarke, Stanton, Dinan, Cryan (2020): Microbiota and neurodevelopmental windows: implications for brain disorders. Trends Mol Med. 2014 Sep;20(9):509-18. doi: 10.1016/j.molmed.2014.05.002. PMID: 24956966. REVIEW

  96. Pärtty A, Kalliomäki M, Wacklin P, Salminen S, Isolauri E (2015): A possible link between early probiotic intervention and the risk of neuropsychiatric disorders later in childhood: a randomized trial. Pediatr Res. 2015 Jun;77(6):823-8. doi: 10.1038/pr.2015.51. PMID: 25760553., n = 75

  97. Vasiliu O (2023) The current state of research for psychobiotics use in the management of psychiatric disorders-A systematic literature review. Front Psychiatry. 2023 Feb 23;14:1074736. doi: 10.3389/fpsyt.2023.1074736. PMID: 36911130; PMCID: PMC9996157. REVIEW

  98. Li Y, Sun H, Huang Y, Yin A, Zhang L, Han J, Lyu Y, Xu X, Zhai Y, Sun H, Wang P, Zhao J, Sun S, Dong H, Zhu F, Wang Q, Augusto Rohde L, Xie X, Sun X, Xiong L (2022): Gut metagenomic characteristics of ADHD reveal low Bacteroides ovatus-associated host cognitive impairment. Gut Microbes. 2022 Jan-Dec;14(1):2125747. doi: 10.1080/19490976.2022.2125747. PMID: 36128620; PMCID: PMC9519028.

  99. Borrego-Ruiz A, Borrego JJ (2024): An updated overview on the relationship between human gut microbiome dysbiosis and psychiatric and psychological disorders. Prog Neuropsychopharmacol Biol Psychiatry. 2024 Jan 10;128:110861. doi: 10.1016/j.pnpbp.2023.110861. PMID: 37690584. REVIEW

  100. Wang, Yang, Chou, Lee, Chou, Kuo, Yeh, Lee, Huang, Li (2019): Gut microbiota and dietary patterns in children with attention-deficit/hyperactivity disorder. Eur Child Adolesc Psychiatry. 2019 May 22. doi: 10.1007/s00787-019-01352-2.

  101. Jakobi B, Vlaming P, Mulder D, Ribases M, Richarte V, Ramos-Quiroga JA, Tendolkar I, van Eijndhoven P, Vrijsen JN, Buitelaar J, Franke B, Hoogman M, Bloemendaal M, Arias-Vasquez A (2024): The gut-microbiome in adult Attention-deficit/hyperactivity disorder - A Meta-analysis. Eur Neuropsychopharmacol. 2024 Nov;88:21-29. doi: 10.1016/j.euroneuro.2024.07.004. PMID: 39121711. METASTUDY

  102. Sukmajaya AC, Lusida MI, Soetjipto, Setiawati Y (2021): Systematic review of gut microbiota and attention-deficit hyperactivity disorder (ADHD). Ann Gen Psychiatry. 2021 Feb 16;20(1):12. doi: 10.1186/s12991-021-00330-w. PMID: 33593384; PMCID: PMC7888126. REVIEW

  103. Panpetch J, Kiatrungrit K, Tuntipopipat S, Tangphatsornruang S, Mhuantong W, Chongviriyaphan N (2024): Gut Microbiota and Clinical Manifestations in Thai Pediatric Patients with Attention-Deficit Hyperactivity Disorder. J Pers Med. 2024 Jul 10;14(7):739. doi: 10.3390/jpm14070739. PMID: 39063993; PMCID: PMC11277806.

  104. Wan L, Ge WR, Zhang S, Sun YL, Wang B, Yang G (2020): Case-Control Study of the Effects of Gut Microbiota Composition on Neurotransmitter Metabolic Pathways in Children With Attention Deficit Hyperactivity Disorder. Front Neurosci. 2020 Feb 18;14:127. doi: 10.3389/fnins.2020.00127. PMID: 32132899; PMCID: PMC7040164.

  105. Jiang, Zhou, Zhou, Li, Yuan, Li, Ruan (2018): Gut microbiota profiles in treatment-naïve children with attention deficit hyperactivity disorder. Behav Brain Res. 2018 Jul 16;347:408-413. doi: 10.1016/j.bbr.2018.03.036. PMID: 29580894. n = 83

  106. Gkougka, Mitropoulos, Tzanakaki, Panagouli, Psaltopoulou, Thomaidis, Tsolia, Sergentanis, Tsitsika (2022): Gut microbiome and attention deficit/hyperactivity disorder: a systematic review. Pediatr Res. 2022 Mar 30. doi: 10.1038/s41390-022-02027-6. PMID: 35354932. METASTUDIE

  107. Caputi V, Hill L, Figueiredo M, Popov J, Hartung E, Margolis KG, Baskaran K, Joharapurkar P, Moshkovich M, Pai N (2024): Functional contribution of the intestinal microbiome in autism spectrum disorder, attention deficit hyperactivity disorder, and Rett syndrome: a systematic review of pediatric and adult studies. Front Neurosci. 2024 Mar 7;18:1341656. doi: 10.3389/fnins.2024.1341656. PMID: 38516317; PMCID: PMC10954784. METASTUDY

  108. Wan, Ge, Zhang, Sun, Wang, Yang (2020): Case-Control Study of the Effects of Gut Microbiota Composition on Neurotransmitter Metabolic Pathways in Children With Attention Deficit Hyperactivity Disorder. Front Neurosci. 2020 Feb 18;14:127. doi: 10.3389/fnins.2020.00127. PMID: 32132899; PMCID: PMC7040164.

  109. Prehn-Kristensen A, Zimmermann A, Tittmann L, Lieb W, Schreiber S, Baving L, Fischer A (2018): Reduced microbiome alpha diversity in young patients with ADHD. PLoS One. 2018 Jul 12;13(7):e0200728. doi: 10.1371/journal.pone.0200728. PMID: 30001426; PMCID: PMC6042771.

  110. Szopinska-Tokov J, Dam S, Naaijen J, Konstanti P, Rommelse N, Belzer C, Buitelaar J, Franke B, Bloemendaal M, Aarts E, Arias Vasquez A (2020): Correction: Szopinska-Tokov et al. Investigating the Gut Microbiota Composition of Individuals with Attention-Deficit/Hyperactivity Disorder and Association with Symptoms. Microorganisms 2020, 8, 406. Microorganisms. 2021 Jun 23;9(7):1358. doi: 10.3390/microorganisms9071358. Erratum for: Microorganisms. 2020 Mar 13;8(3): PMID: 34201905; PMCID: PMC8306196.

  111. Szopinska-Tokov J, Dam S, Naaijen J, Konstanti P, Rommelse N, Belzer C, Buitelaar J, Franke B, Aarts E, Arias Vasquez A (2020): Investigating the Gut Microbiota Composition of Individuals with Attention-Deficit/Hyperactivity Disorder and Association with Symptoms. Microorganisms. 2020 Mar 13;8(3):406. doi: 10.3390/microorganisms8030406. Erratum in: Microorganisms. 2021 Jun 23;9(7):1358. doi: 10.3390/microorganisms9071358. PMID: 32183143; PMCID: PMC7143990.

  112. Lee MJ, Lai HC, Kuo YL, Chen VC (2022): Association between Gut Microbiota and Emotional-Behavioral Symptoms in Children with Attention-Deficit/Hyperactivity Disorder. J Pers Med. 2022 Oct 2;12(10):1634. doi: 10.3390/jpm12101634. PMID: 36294773; PMCID: PMC9605220.

  113. Taş E, Ülgen KO (2023): Understanding the ADHD-Gut Axis by Metabolic Network Analysis. Metabolites. 2023 Apr 26;13(5):592. doi: 10.3390/metabo13050592. PMID: 37233633; PMCID: PMC10223614.

  114. Prehn-Kristensen A, Zimmermann A, Tittmann L, Lieb W, Schreiber S, Baving L, Fischer A (2018): Reduced microbiome alpha diversity in young patients with ADHD. PLoS One. 2018 Jul 12;13(7):e0200728. doi: 10.1371/journal.pone.0200728. PMID: 30001426; PMCID: PMC6042771.

  115. Shirvani-Rad S, Ejtahed HS, Ettehad Marvasti F, Taghavi M, Sharifi F, Arzaghi SM, Larijani B (2022): The Role of Gut Microbiota-Brain Axis in Pathophysiology of ADHD: A Systematic Review. J Atten Disord. 2022 Nov;26(13):1698-1710. doi: 10.1177/10870547211073474. PMID: 35048732.

  116. Xiao L, Liu S, Wu Y, Huang Y, Tao S, Liu Y, Tang Y, Xie M, Ma Q, Yin Y, Dai M, Zhang M, Llamocca E, Gui H, Wang Q (2023): The interactions between host genome and gut microbiome increase the risk of psychiatric disorders: Mendelian randomization and biological annotation. Brain Behav Immun. 2023 Aug 8;113:389-400. doi: 10.1016/j.bbi.2023.08.003. PMID: 37557965.

  117. Eicher TP, Mohajeri MH (2022): Overlapping Mechanisms of Action of Brain-Active Bacteria and Bacterial Metabolites in the Pathogenesis of Common Brain Diseases. Nutrients. 2022 Jun 27;14(13):2661. doi: 10.3390/nu14132661. PMID: 35807841; PMCID: PMC9267981.

  118. Bergwerff CE, Luman M, Blom HJ, Oosterlaan J (2016): No Tryptophan, Tyrosine and Phenylalanine Abnormalities in Children with Attention-Deficit/Hyperactivity Disorder. PLoS One. 2016 Mar 3;11(3):e0151100. doi: 10.1371/journal.pone.0151100. PMID: 26938936; PMCID: PMC4777504.

  119. Cheng S, Han B, Ding M, Wen Y, Ma M, Zhang L, Qi X, Cheng B, Li P, Kafle OP, Liang X, Liu L, Du Y, Zhao Y, Zhang F (2020): Identifying psychiatric disorder-associated gut microbiota using microbiota-related gene set enrichment analysis. Brief Bioinform. 2020 May 21;21(3):1016-1022. doi: 10.1093/bib/bbz034. PMID: 30953055.

  120. Novau-Ferré N, Papandreou C, Rojo-Marticella M, Canals-Sans J, Bulló M (2025): Gut microbiome differences in children with Attention Deficit Hyperactivity Disorder and Autism Spectrum Disorder and effects of probiotic supplementation: A randomized controlled trial. Res Dev Disabil. 2025 Apr 3;161:105003. doi: 10.1016/j.ridd.2025.105003. PMID: 40184961.

  121. Henke MT, Kenny DJ, Cassilly CD, Vlamakis H, Xavier RJ, Clardy J (2019): Ruminococcus gnavus, a member of the human gut microbiome associated with Crohn’s disease, produces an inflammatory polysaccharide. Proc Natl Acad Sci U S A. 2019 Jun 25;116(26):12672-12677. doi: 10.1073/pnas.1904099116. PMID: 31182571; PMCID: PMC6601261.

  122. Zheng H, Liang H, Wang Y, Miao M, Shi T, Yang F, Liu E, Yuan W, Ji ZS, Li DK (2016): Altered Gut Microbiota Composition Associated with Eczema in Infants. PLoS One. 2016 Nov 3;11(11):e0166026. doi: 10.1371/journal.pone.0166026. PMID: 27812181; PMCID: PMC5094743.

  123. Szopinska-Tokov J, Dam S, Naaijen J, Konstanti P, Rommelse N, Belzer C, Buitelaar J, Franke B, Aarts E, Arias Vasquez A (2020): Investigating the Gut Microbiota Composition of Individuals with Attention-Deficit/Hyperactivity Disorder and Association with Symptoms. Microorganisms. 2020 Mar 13;8(3):406. doi: 10.3390/microorganisms8030406. Erratum in: Microorganisms. 2021 Jun 23;9(7):1358. doi: 10.3390/microorganisms9071358. PMID: 32183143; PMCID: PMC7143990.

  124. Jurek L, Sevil M, Jay A, Schröder C, Baghdadli A, Héry-Arnaud G, Geoffray MM (2021): Is there a dysbiosis in individuals with a neurodevelopmental disorder compared to controls over the course of development? A systematic review. Eur Child Adolesc Psychiatry. 2021 Nov;30(11):1671-1694. doi: 10.1007/s00787-020-01544-1. PMID: 32385698.

  125. You M, Chen N, Yang Y, Cheng L, He H, Cai Y, Liu Y, Liu H, Hong G (2024): The gut microbiota-brain axis in neurological disorders. MedComm (2020). 2024 Jul 20;5(8):e656. doi: 10.1002/mco2.656. PMID: 39036341; PMCID: PMC11260174. REVIEW

  126. Wang LJ, Li SC, Li SW, Kuo HC, Lee SY, Huang LH, Chin CY, Yang CY (2022): Gut microbiota and plasma cytokine levels in patients with attention-deficit/hyperactivity disorder. Transl Psychiatry. 2022 Feb 23;12(1):76. doi: 10.1038/s41398-022-01844-x. PMID: 35197458; PMCID: PMC8866486.

  127. Steckler R, Magzal F, Kokot M, Walkowiak J, Tamir S (2024): Disrupted gut harmony in attention-deficit/hyperactivity disorder: Dysbiosis and decreased short-chain fatty acids. Brain Behav Immun Health. 2024 Jul 27;40:100829. doi: 10.1016/j.bbih.2024.100829. PMID: 39184374; PMCID: PMC11342906. n = 73

  128. Steckler R, Magzal F, Kokot M, Walkowiak J, Tamir S (2024): Disrupted gut harmony in attention-deficit/hyperactivity disorder: Dysbiosis and decreased short-chain fatty acids. Brain Behav Immun Health. 2024 Jul 27;40:100829. doi: 10.1016/j.bbih.2024.100829. PMID: 39184374; PMCID: PMC11342906.

  129. Stiernborg M, Debelius JW, Yang LL, Skott E, Millischer V, Giacobini M, Melas PA, Boulund F, Lavebratt C (2023): Bacterial gut microbiome differences in adults with ADHD and in children with ADHD on psychostimulant medication. Brain Behav Immun. 2023 May;110:310-321. doi: 10.1016/j.bbi.2023.03.012. PMID: 36940753.

  130. Bundgaard-Nielsen C, Lauritsen MB, Knudsen JK, Rold LS, Larsen MH, Hindersson P, Villadsen AB, Leutscher PDC, Hagstrøm S, Nyegaard M, Sørensen S (2023): Children and adolescents with attention deficit hyperactivity disorder and autism spectrum disorder share distinct microbiota compositions. Gut Microbes. 2023 Jan-Dec;15(1):2211923. doi: 10.1080/19490976.2023.2211923. PMID: 37199526; PMCID: PMC10197996.

  131. Sharon G, Cruz NJ, Kang DW, Gandal MJ, Wang B, Kim YM, Zink EM, Casey CP, Taylor BC, Lane CJ, Bramer LM, Isern NG, Hoyt DW, Noecker C, Sweredoski MJ, Moradian A, Borenstein E, Jansson JK, Knight R, Metz TO, Lois C, Geschwind DH, Krajmalnik-Brown R, Mazmanian SK (2019): Human Gut Microbiota from Autism Spectrum Disorder Promote Behavioral Symptoms in Mice. Cell. 2019 May 30;177(6):1600-1618.e17. doi: 10.1016/j.cell.2019.05.004. PMID: 31150625; PMCID: PMC6993574.

  132. Cho YJ, Shin B, Lee SH, Park S, Kim YK, Kim JJ, Kim E (2023): Altered Urine Microbiome in Male Children and Adolescents with Attention-Deficit Hyperactivity Disorder. Microorganisms. 2023 Aug 11;11(8):2063. doi: 10.3390/microorganisms11082063. PMID: 37630623; PMCID: PMC10458914.

  133. Chudzik A, Słowik T, Kochalska K, Pankowska A, Łazorczyk A, Andres-Mach M, Rola R, Stanisz GJ, Orzyłowska A (2022): Continuous Ingestion of Lacticaseibacillus rhamnosus JB-1 during Chronic Stress Ensures Neurometabolic and Behavioural Stability in Rats. Int J Mol Sci. 2022 May 5;23(9):5173. doi: 10.3390/ijms23095173. PMID: 35563564; PMCID: PMC9106030.

  134. Schroeder FA, Lin CL, Crusio WE, Akbarian S (2007): Antidepressant-like effects of the histone deacetylase inhibitor, sodium butyrate, in the mouse. Biol Psychiatry. 2007 Jul 1;62(1):55-64. doi: 10.1016/j.biopsych.2006.06.036. PMID: 16945350.

  135. Messaoudi M, Lalonde R, Violle N, Javelot H, Desor D, Nejdi A, Bisson JF, Rougeot C, Pichelin M, Cazaubiel M, Cazaubiel JM (2011): Assessment of psychotropic-like properties of a probiotic formulation (Lactobacillus helveticus R0052 and Bifidobacterium longum R0175) in rats and human subjects. Br J Nutr. 2011 Mar;105(5):755-64. doi: 10.1017/S0007114510004319. PMID: 20974015.

  136. Rao AV, Bested AC, Beaulne TM, Katzman MA, Iorio C, Berardi JM, Logan AC (2009): A randomized, double-blind, placebo-controlled pilot study of a probiotic in emotional symptoms of chronic fatigue syndrome. Gut Pathog. 2009 Mar 19;1(1):6. doi: 10.1186/1757-4749-1-6. PMID: 19338686; PMCID: PMC2664325.

  137. Burokas A, Arboleya S, Moloney RD, Peterson VL, Murphy K, Clarke G, Stanton C, Dinan TG, Cryan JF (2017): Targeting the Microbiota-Gut-Brain Axis: Prebiotics Have Anxiolytic and Antidepressant-like Effects and Reverse the Impact of Chronic Stress in Mice. Biol Psychiatry. 2017 Oct 1;82(7):472-487. doi: 10.1016/j.biopsych.2016.12.031. PMID: 28242013.

  138. Sgritta M, Dooling SW, Buffington SA, Momin EN, Francis MB, Britton RA, Costa-Mattioli M (2019): Mechanisms Underlying Microbial-Mediated Changes in Social Behavior in Mouse Models of Autism Spectrum Disorder. Neuron. 2019 Jan 16;101(2):246-259.e6. doi: 10.1016/j.neuron.2018.11.018. PMID: 30522820; PMCID: PMC6645363.

  139. Buffington SA, Di Prisco GV, Auchtung TA, Ajami NJ, Petrosino JF, Costa-Mattioli M (2016): Microbial Reconstitution Reverses Maternal Diet-Induced Social and Synaptic Deficits in Offspring. Cell. 2016 Jun 16;165(7):1762-1775. doi: 10.1016/j.cell.2016.06.001. PMID: 27315483; PMCID: PMC5102250.

  140. Poutahidis T, Kearney SM, Levkovich T, Qi P, Varian BJ, Lakritz JR, Ibrahim YM, Chatzigiagkos A, Alm EJ, Erdman SE (2013): Microbial symbionts accelerate wound healing via the neuropeptide hormone oxytocin. PLoS One. 2013 Oct 30;8(10):e78898. doi: 10.1371/journal.pone.0078898. PMID: 24205344; PMCID: PMC3813596.

  141. Tabouy L, Getselter D, Ziv O, Karpuj M, Tabouy T, Lukic I, Maayouf R, Werbner N, Ben-Amram H, Nuriel-Ohayon M, Koren O, Elliott E (2018): Dysbiosis of microbiome and probiotic treatment in a genetic model of autism spectrum disorders. Brain Behav Immun. 2018 Oct;73:310-319. doi: 10.1016/j.bbi.2018.05.015. PMID: 29787855.

  142. Buffington SA, Dooling SW, Sgritta M, Noecker C, Murillo OD, Felice DF, Turnbaugh PJ, Costa-Mattioli M (2021): Dissecting the contribution of host genetics and the microbiome in complex behaviors. Cell. 2021 Apr 1;184(7):1740-1756.e16. doi: 10.1016/j.cell.2021.02.009. PMID: 33705688; PMCID: PMC8996745.

  143. Wang X, Hu R, Lin F, Yang T, Lu Y, Sun Z, Li T, Chen J (2024): Lactobacillus reuteri or Lactobacillus rhamnosus GG intervention facilitates gut barrier function, decreases corticosterone and ameliorates social behavior in LPS-exposed offspring. Food Res Int. 2024 Dec;197(Pt 1):115212. doi: 10.1016/j.foodres.2024.115212. PMID: 39593298.

  144. Mazzone L, Dooling SW, Volpe E, Uljarević M, Waters JL, Sabatini A, Arturi L, Abate R, Riccioni A, Siracusano M, Pereira M, Engstrand L, Cristofori F, Adduce D, Francavilla R, Costa-Mattioli M, Hardan AY (2024): Precision microbial intervention improves social behavior but not autism severity: A pilot double-blind randomized placebo-controlled trial. Cell Host Microbe. 2024 Jan 10;32(1):106-116.e6. doi: 10.1016/j.chom.2023.11.021. PMID: 38113884.

  145. Chen RJ, Lai KH, Lee CH, Lin HY, Lin CC, Chen CH, Chen W, Chen WY, Vo TTT, Lee IT (2024): Exploring the Link between Xerostomia and Oral Health in Mental Illness: Insights from Autism Spectrum Disorder, Depression, Bipolar Disorder, and Schizophrenia. Healthcare (Basel). 2024 Oct 11;12(20):2018. doi: 10.3390/healthcare12202018. PMID: 39451433; PMCID: PMC11507428. REVIEW

  146. Hsiao EY, McBride SW, Hsien S, Sharon G, Hyde ER, McCue T, Codelli JA, Chow J, Reisman SE, Petrosino JF, Patterson PH, Mazmanian SK (2013): Microbiota modulate behavioral and physiological abnormalities associated with neurodevelopmental disorders. Cell. 2013 Dec 19;155(7):1451-63. doi: 10.1016/j.cell.2013.11.024. PMID: 24315484; PMCID: PMC3897394.

  147. Grimaldi, Gibson, Vulevic, Giallourou, Castro-Mejía, Hansen, Gibson, Nielsen, Costabile (2019): A prebiotic intervention study in children with autism spectrum disorders (ASDs). Microbiome. 2018 Aug 2;6(1):133. doi: 10.1186/s40168-018-0523-3. – Vorsicht – Untersuchung eines Markenprodukts

  148. Montgomery TL, Peipert D, Krementsov DN (2024): Modulation of multiple sclerosis risk and pathogenesis by the gut microbiota: Complex interactions between host genetics, bacterial metabolism, and diet. Immunol Rev. 2024 Aug;325(1):131-151. doi: 10.1111/imr.13343. PMID: 38717158; PMCID: PMC11338732. REVIEW

  149. Ohland CL, Kish L, Bell H, Thiesen A, Hotte N, Pankiv E, Madsen KL (2013): Effects of Lactobacillus helveticus on murine behavior are dependent on diet and genotype and correlate with alterations in the gut microbiome. Psychoneuroendocrinology. 2013 Sep;38(9):1738-47. doi: 10.1016/j.psyneuen.2013.02.008. PMID: 23566632.

  150. Zegarra-Ruiz DF, El Beidaq A, Iñiguez AJ, Lubrano Di Ricco M, Manfredo Vieira S, Ruff WE, Mubiru D, Fine RL, Sterpka J, Greiling TM, Dehner C, Kriegel MA (2019): A Diet-Sensitive Commensal Lactobacillus Strain Mediates TLR7-Dependent Systemic Autoimmunity. Cell Host Microbe. 2019 Jan 9;25(1):113-127.e6. doi: 10.1016/j.chom.2018.11.009. PMID: 30581114; PMCID: PMC6377154.

Diese Seite wurde am 28.06.2025 zuletzt aktualisiert.