| Literature DB >> 34440503 |
Donatella Marazziti1,2, Beatrice Buccianelli1, Stefania Palermo1, Elisabetta Parra1, Alessandro Arone1, Maria Francesca Beatino1, Lucia Massa1, Barbara Carpita1, Filippo M Barberi1, Federico Mucci3, Liliana Dell’Osso1.
Abstract
The functioning of the central nervous system (CNS) is the result of the constant integration of bidirectional messages between the brain and peripheral organs, together with their connections with the environment. Despite the anatomical separation, gut microbiota, i.e., the microorganisms colonising the gastrointestinal tract, is highly related to the CNS through the so-called "gut-brain axis". The aim of this paper was to review and comment on the current literature on the role of the intestinal microbiota and the gut-brain axis in some common neuropsychiatric conditions. The recent literature indicates that the gut microbiota may affect brain functions through endocrine and metabolic pathways, antibody production and the enteric network while supporting its possible role in the onset and maintenance of several neuropsychiatric disorders, neurodevelopment and neurodegenerative disorders. Alterations in the gut microbiota composition were observed in mood disorders and autism spectrum disorders and, apparently to a lesser extent, even in obsessive-compulsive disorder (OCD) and related conditions, as well as in schizophrenia. Therefore, gut microbiota might represent an interesting field of research for a better understanding of the pathophysiology of common neuropsychiatric disorders and possibly as a target for the development of innovative treatments that some authors have already labelled "psychobiotics".Entities:
Keywords: autism spectrum disorders; central nervous system; gut–brain axis; immune system; microbiota; mood disorders; neuropsychiatric disorders; novel psychotropic drugs; obsessive-compulsive disorder; schizophrenia
Year: 2021 PMID: 34440503 PMCID: PMC8401073 DOI: 10.3390/life11080760
Source DB: PubMed Journal: Life (Basel) ISSN: 2075-1729
Figure 1Article selection flowchart.
Studies on microbiota and mood disorders (MDs).
| Authors and Year | Type of Study | Population | Methods | Findings |
|---|---|---|---|---|
| Mangiola et al., 2016 [ | Review | - | Selected studies on the role of gut microbiota and the use of microbiota-modulating strategies in MDs/ASD |
Reduced (anxiety-like behaviour in GF mice after the restoration of the intestinal microbiota; Improved depression and anxiety symptoms in mice after the administration of probiotics; Increased Alistipes in depressed patients; negative correlation between Faecalibacterium abundance and depression severity; Modulators of gut microbiota (antibiotics, probiotics and FMT) were experienced only in experimental settings in ASD/MDs with promising results |
| Colpo et al., 2017 [ | Review | - | Selected studies on the role of inflammation and immune-based therapeutic strategies in MDs |
Treatment with probiotics may improve behavioural symptoms (Decreased depression-like and anxiety-like behaviours) by acting on monoaminergic systems (e.g., increased serotonin availability) and/or decreasing levels of systemic inflammatory markers (decreased IL-1β, IL-6, TNF-α, microglial activation markers) in animal models and improve anxious and depressive symptoms in humans |
| Jiang et al., 2015 [ | Cross-sectional study | 46 depressed patients (active MDD and responded MDD) and 30 HC | Comparing blood samples and faecal samples using high-throughput pyrosequencing |
Increased faecal bacterial alpha-diversity in the active-MDD, but not in the responded-MDD, compared to the HC group; differences in the composition of microbiota between groups (Increased Bacteroidetes, Proteobacteria, Actinobacteria, Enterobacteriaceae and Alistipes decreased Firmicutes, and Faecalibacterium in MDD patients); negative correlation between Faecalibacterium and severity of depressive symptoms; No difference in the serum inflammatory markers, while the serum level of BDNF differed significantly between the groups |
| Aizawa et al., 2016 [ | Cross-sectional study | 43 MDD patients and 57 HC | Comparing faecal samples using bacterial rRNA-targeted reverse transcription-quantitative PCR |
Decreased Bifidobacterium and/or Lactobacillus in patients compared to controls |
| Zheng et al., 2016 [ | Cross-sectional study; animal study (mice) | GF and SPF Kunming mice | Open-field test, Y-maze, tail suspension test, forced swimming test; 16S rRNA gene sequencing on faecal samples from MDD patients and HC; FMT |
Depression-like behaviours in GF mice (decreased immobility time in the forced swimming test); Significant differences in microbiota composition of MDD patients and HC; Depression-like behaviours and disturbances of microbial genes and host metabolites involved in carbohydrate and amino acid metabolism in GF mice after transplantation with faecal samples from MDD patients |
| Evans et al., 2017 [ | Cross-sectional study | 115 BD patients and 64 HC | Comparing faecal samples using 16S rRNA gene sequence analysis; psychometric evaluations |
Decrease Faecalibacterium in BD; Significant relationships between the fractional representation of several operational taxonomical units and the self-reported burden of disease measures within BD individuals |
| Flowers et al., 2017 [ | Cross-sectional study | 117 BD patients (AAP-treated or non-AAP-treated) | Comparing faecal samples using 16S ribosomal sequencing |
Decreased species diversity in AAP-treated females; Differences in the composition of microbiota between treatment groups (Lachnospiraceae, Akkermansia and Sutterella) |
| Painold et al., 2019 [ | Cross-sectional study | 32 BD patients and 10 HC | Comparing blood samples and faecal samples using 16S rRNA gene sequencing |
Negative correlation between microbial alpha-diversity and illness duration; Increased Actinobacteria and Coriobacteria in BD, increased Ruminococcaceae and Faecalibacterium in HC; Increased Lactobacillales, Streptococcaceae and Bacilli in BD individuals with higher IL-6 levels; Increased Faecalibacterium in BD individuals with higher malondialdehyde levels; tryptophan levels associated with the family of Lactobacillaceae |
| Huang et al., 2019 [ | Review | - | 12 selected human studies |
Decreased microbial diversity in depressed patients (Increased Actinobacteria, Enterobacteriaceae and decreased Faecalibacterium); Specific gut bacteria were associated with inflammatory markers and metabolic profiles, disease severity, duration of illness, psychiatric symptoms and pharmacological treatment |
| Maes et al., 2008 [ | Cross-sectional study | MDD patients and HC | Comparing blood samples |
Increased serum IgM and IgA against LPS of enterobacteria in MDD patients |
| Slyepchenko et al., 2017 [ | Narrative review | - | 2016 selected studies on the role of intestinal dysbiosis in the pathophysiology of MDD and somatic comorbidities |
Gut dysbiosis and the leaky gut may influence several pathways implicated in the biology of MDD and related medical comorbidities |
| Kelly et al., 2016 [ | Cross-sectional study; animal study (rats) | 34 MDD patients and 33 matched HC | Comparing blood, salivary and faecal samples; FMT to a microbiota-deficient rat model |
Decreased gut microbiota richness and diversity in MDD patients (decreased Prevotellaceae) and rats after FMT from MDD patients; Behavioural (anhedonia, anxiety-like behaviours) and physiological depressive features (increased CRP and intestinal transit time) and alterations in tryptophan metabolism (increased kynurenine/tryptophan ratio) in mice after faecal transplantation from MDD patients |
| Yang et al., 2020 [ | Cross-sectional study | 156 MDD patients and 155 HC | Whole-genome shotgun metagenomic and untargeted metabolomic methods |
Increassed Bacteroides, decreased Blautia and Eubacterium in MDD patients |
| Patterson et al., 2019 [ | Animal study (mice) | Diet-induced obese and metabolically dysfunctional mice | Daily administration of GABA-producing L. brevis (L. brevis DPC6108 or L. brevis DSM32386) for 12 weeks |
Decreased accumulation of mesenteric adipose tissue, increassed insulin secretion following glucose challenge and plasma cholesterol clearance; Decreassed despair-like behaviour and basal corticosterone production during the forced swim test |
| Naseribafrouei et al., 2014 [ | Cross-sectional study | 37 depressed patients and 18 HC | Comparing faecal samples using 16S rRNA gene sequencing |
Increassed Bacteroidales and decreased Lachnospiraceae in depressed patients; Significant association between depression and one clade within the genus Oscillibacter and one clade within Alistipes |
| Severance et al., 2016 [ | Cross-sectional study | Two cohorts totaling 947 individuals with SZ and BD, as well as HC | Comparing blood samples in patients with SZ and BD, as well as HC |
C. albicans seropositivity increased the odds for an SZ diagnosis in males, decreased cognitive scores in SZ females and correlated with decreased performance on memory modules for both disorders; C. albicans IgG levels were not impacted by antipsychotic medication; Elevated C. albicans levels in males with SZ and females with BD were associated with GI disturbances |
| Dickerson et al., 2017 [ | Review | - | Selected human studies on the relationship between immune alterations and microbiome in SZ and BD |
Microbiome may affect cognition and behaviour by altering the functioning of the immune system (animal studies); Evidence of increased gastrointestinal inflammation in SZ and BD based on measures of microbial translocation; Increassed rate of recent antimicrobial prescription in patients with acute mania, which were associated with Increassed severity of mania symptoms |
| Macedo et al., 2017 [ | Narrative review | - | 120 selected articles on the mutual relationship between stress, depression and gut microbiota composition and antimicrobial effect of ADs and vice versa |
MDD was associated with changes in gut permeability and microbiota composition; ADs presented antimicrobial effects and, conversely, some antimicrobials presented antidepressant effects |
Legend: AAP—atypical antipsychotics; Ads—antidepressants; ASD—autism spectrum disorders; BD—bipolar disorder; BDNF—brain-derived neurotrophic factor; C. albicans—Candida albicans; CRP—C reactive protein; FMT—faecal microbiota transplantation; GABA—gamma-aminobutyric acid; GF—germ-free; GI—gastrointestinal; HC—healthy controls; L. brevis—Lactobacillus brevis; LPS—lipopolysaccharide; MDD—major depressive disorder; PCR—polymerase chain reaction; SPF—specific pathogen-free; SZ—schizophrenia; TNF-α—tumor necrosis factor alpha.
Studies on the relationships between microbiota and obsessive-compulsive disorder (OCD).
| Authors and Year | Type of Study | Findings |
|---|---|---|
| Kantak et al., 2014 [ | Animal study |
Pretreatment with probiotics (L. rhamnosus GG) or with fluoxetine attenuated the OCD-like behaviours induced by RU 24969 in comparison with saline pretreatment; The effects of L. rhamnosus pretreatment and fluoxetine pretreatment on OCD-like behaviours were comparable |
| Sanikhani et al., 2020 [ | Animal study (rats) |
Treatment with L. casei Shirota, with fluoxetine and with the combination of both reduced OCD-like symptoms induced by quinpirole hydrochloride; L. casei shirota might modulate gene expression (Increassed BDNF, decreassed 5-HT2A receptors) in the OFC |
| Kobliner et al., 2018 [ | Case report | S. boulardii administration, aimed at reducing GI symptoms, resulted in an amelioration of OCD and SIB in a boy with ASD, OCD, tics, SIB, a history of GI disturbances and global immune dysregulation |
| Rees et al., 2014 [ | Review | Antibiotics altering the composition of intestinal flora could be the causative factor of PANDAS rather than GABHS |
Legend: BDNF—brain-derived neurotrophic factor; GABHS—group A beta-haemolytic streptococcus; GI—gastrointestinal; L. casei Shirota—Lactobacillus casei Shirota; L. rhamnosus GG—Lactobacillus rhamnosus GG; OFC—orbitofrontal cortex; PANDAS—paediatric autoimmune neuropsychiatric disorders associated with streptococcal infections; S. boulardii—Saccharomyces boulardii; SIB—self-injurious behaviour.
Studies on the relationships between gut microbiota and schizophrenia (SZ).
| Authors and Year | Type of Study | Methods | Findings |
|---|---|---|---|
| Zheng et al., 2019 [ | Cross-sectional study; | Comparing gut microbiota between 63 treated and untreated SZ patients and 69 HCs; GF mice received SZ FMT |
Both treated and untreated SZ subjects showed altered microbiota and decreased microbiome heterogeneity than HC; SZ severity was correlated with unique bacterial taxa; GF mice receiving SZ FMT showed lower glutamate and higher glutamine and GABA in the hippocampus and displayed SZ-relevant behaviours |
| Shen et al., 2018 [ | Cross-sectional study | Comparing gut microbiota between 64 SZ patients and 53 HC using 16S rRNA sequencing |
Increassed Proteobacteria, Succinivibrio, Megasphaera, Collinsella, Clostridium, Klebsiella and Methanobrevibacter in SZ; Decreassed Blautia, Coprococcus and Roseburia in SZ; Proposed microbiota-based diagnosis for SZ |
| Yuan et al., 2018 [ | Cross-sectional study | Comparing gut microbiota between 41 first-episode SZ patients and 41 HCs; testing 24-week risperidone treatment effects |
Altered microbiota composition in patients, modulated by risperidone treatment |
| Li et al., 2021 [ | Cross-sectional study | Investigating faecal microbiota differences between 38 SZ patients and 38 HC, as well as exploring whether such differences were associated with brain structure and function, through 16S rRNA sequencing, sMRI and rs-fMRI |
SZ showed increassed Veillonella, decreased Ruminococcus, Roseburia, GMV and ReHo; increased amplitudes of low-frequency fluctuation, Both GMV and ReHo were related to the diversity of gut microbiota |
Legend: GABA—gamma-aminobutyric acid; GF—germ-free; GMV—gray matter volume; HC—healthy controls; FMT—faecal microbiota transplant; ReHo—regional homogeneity; rs-fMRI—resting-state functional magnetic resonance imaging; sMRI—structural magnetic resonance imaging.
Studies on gastrointestinal (GI) symptoms and gut microbiota composition in autism spectrum disorder (ASD).
| Authors and Year | Type of Study | Participants (N) | Methods | Findings |
|---|---|---|---|---|
| McElhanon et al., 2014 [ | Systematic meta-analysis | ASD group: | 15 studies included in the systematic review | Greater prevalence of GI symptoms among children with ASD compared with control children |
| Adams et al., 2011 [ | Cross-sectional study | 58 ASD children; 39 healthy controls | GI symptoms: assessed with a modified six-item GI Severity Index (6-GSI) questionnaire; | Correlations between GI symptoms and autism severity |
| Kang et al., 2017 [ | Open-label trial | 18 ASD-diagnosed children | MTT |
Decreased GI symptoms; Improvement of ASD symptoms; Changes in microbiota composition |
| Gondalia et al., 2012 [ | Cross-sectional study | 28 autistic children with GI dysfunction; 23 autistic children without GI dysfunction; 53 neurotypical siblings | Comparing gut microbiota | No significant difference between groups |
| Sandler et al., 2000 [ | Open-label trial | 11 children with regressive-onset autism | Administration of vancomycin | Short-term behavioural improvement |
Legend: MTT—microbiota transfer therapy.
Studies on the relationships between gut microbiota and attention-deficit/hyperactivity disorder (ADHD).
| Authors and Year | Type of Study | Findings |
|---|---|---|
| Cenit et al., 2017 [ | Review |
Gut microbiota transplantation can transfer a behavioural phenotype (studies on animal samples); Microbiota could play a role in mental health by regulating inflammatory and endocrine secretions, synthetising neuroactive compounds and interacting with the vagal nerve (studies on animal samples); Dietary components modulating gut microbiota may influence ADHD development or symptoms (preliminary human studies) |
| Cenit et al., 2017 [ | Review |
Specific diets or dietary components (including probiotics) may alter brain activity in regions that are relevant to cognition, behaviour and specific ADHD symptoms; Inflammation and oxidative stress, partly triggered by alterations in gut microbiota composition and both associated with ADHD, may play an important role in the aetiopathogenesis of ADHD through neuroinflammation |
Studies on the relationships between gut microbiota and eating disorders.
| Authors and Year | Type of Study | Findings |
|---|---|---|
| Santonicola et al., 2019 [ | Review |
Differences in alpha-diversity and composition of microbiota in EDs, possibly contributing to symptomatic manifestations and pathophysiology; |
| Seitz et al., 2019 [ | Review |
Decreased alpha-diversity in AN, which showed an increase during weight restoration and a correlation with depressive and anxious symptoms; Increased beta-diversity in AN, which decreased after weight rehabilitation; Specific taxa abundance in AN could influence gut permeability, inflammation and symptomatic manifestations |
| Seitz et al., 2019 [ | Review |
Decreased diversity and taxa abundance in AN; AN-related changes in microbiome could increase gut permeability, inflammation and autoantibody formation; Increased microbiome diversity in AN associated with depressive, anxious and EDs symptoms |
Legend: AN—anorexia nervosa, ED—eating disorders.