Gut Microbiota in Psychiatric Disorders: A Systematic Review

Autor: Cynthia M. Bulik, Afrouz Abbaspour, Diana Djurfeldt, George F Mkoma, Long Long Chen, Christian Rück
Rok vydání: 2021
Předmět:
DIVERSITY
CHILDREN
Gut flora
SCFA = short-chain fatty acids
anorexia nervosa
ADHD = attention-deficit/hyperactivity disorder
Marker-gene analysis = amplification of target genes to determine the presence and abundance of microbes. 16S rRNA is a highly conserved gene among bacteria and archaea commonly used as a marker gene in studies of microbiota. This technique uses universal primers targeting the hypervariable regions (V1–V9) of ribosomal RNA
ANXIETY
Medicine
BMI = body mass index
Applied Psychology
Bifidobacterium
bipolar disorder
biology
Mental Disorders
Alpha diversity = refers to the diversity within a sample. It can measure richness of species (observed species
Chao1
ACE index) or how evenly distributed the microbes are (Shannon and Simpson index)

Confounding
disorder
ASSOCIATION
DSM = Diagnostic and Statistical Manual for Psychiatric Disorders
DEPRESSION
Psychiatry and Mental health
ICD-10 = International Classification of Disease
Tenth Revision

Microbiota Terminology: High-throughput sequencing = a group of sequencing techniques that allow for large-scale genome sequencing by processing multiple DNA sequences in parallel
ComputingMethodologies_DOCUMENTANDTEXTPROCESSING
attention-deficit/hyperactivity
Roseburia
BPD = bipolar disorder
ANOREXIA-NERVOSA
medicine.medical_specialty
ASD = autism spectrum disorder
MEDLINE
SODIUM-BUTYRATE
autism spectrum disorder
attention-deficit/hyperactivity disorder
digestive system
Gut bacteria
Beta diversity = refers to diversity between samples. Different metrics can be used to measure beta diversity. Bray-Curtis dissimilarity measures differences in microbial abundance between samples. Unifrac takes phylogenetics or relatedness of species into account
and it can be weighted to the relative abundance of species (weighted Unifrac)

Humans
In patient
AUTISM
Psychiatry
Faecalibacterium
AN = anorexia nervosa
Bacteria
major depressive disorder
gut microbiota
business.industry
ED = eating disorders
ANX = anxiety disorders
Small sample
Original Articles
SCZ = schizophrenia
biology.organism_classification
NGS = next-generation sequencing
Gastrointestinal Microbiome
Metagenome analysis (shotgun) = uses the entire genome of all microorganisms for whole-genome sequencing
which offers higher resolution compared with marker-gene analysis and allows for functional characterization of microbial communities

schizophrenia
FAECALIBACTERIUM-PRAUSNITZII
MNOS = modified Newcastle-Ottawa Scale
FECAL MICROBIOTA
MDD = major depressive disorder
business
Zdroj: Chen, L L, Abbaspour, A, Mkoma, G F, Bulik, C M, Ruck, C & Djurfeldt, D 2021, ' Gut Microbiota in Psychiatric Disorders : A Systematic Review ', Psychosomatic Medicine, vol. 83, no. 7, pp. 679-692 . https://doi.org/10.1097/PSY.0000000000000959
Psychosomatic Medicine
ISSN: 1534-7796
0033-3174
DOI: 10.1097/psy.0000000000000959
Popis: Supplemental digital content is available in the text.
Objective This systematic review sought to comprehensively summarize gut microbiota research in psychiatric disorders following PRISMA guidelines. Methods Literature searches were performed on databases using keywords involving gut microbiota and psychiatric disorders. Articles in English with human participants up until February 13, 2020, were reviewed. Risk of bias was assessed using a modified Newcastle-Ottawa Scale for microbiota studies. Results Sixty-nine of 4231 identified studies met the inclusion criteria for extraction. In most studies, gut microbiota composition differed between individuals with psychiatric disorders and healthy controls; however, limited consistency was observed in the taxonomic profiles. At the genus level, the most replicated findings were higher abundance of Bifidobacterium and lower abundance of Roseburia and Faecalibacterium among patients with psychiatric disorders. Conclusions Gut bacteria that produce short-chain fatty acids, such as Roseburia and Faecalibacterium, could be less abundant in patients with psychiatric disorders, whereas commensal genera, for example, Bifidobacterium, might be more abundant compared with healthy controls. However, most included studies were hampered by methodological shortcomings including small sample size, unclear diagnostics, failure to address confounding factors, and inadequate bioinformatic processing, which might contribute to inconsistent results. Based on our findings, we provide recommendations to improve quality and comparability of future microbiota studies in psychiatry.
Databáze: OpenAIRE