ArticleMolecular psychiatry2021
Depression phenotype identified by using single nucleotide exact amplicon sequence variants of the human gut microbiome.
Article in Molecular psychiatry, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers, 5 of them syntheses that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
47 citing papers in PubMed, 5 syntheses or guidelines pooled it, 68 citations in OpenAlex.
- Gut microbiota composition in depressive disorder: a systematic review, meta-analysis, and meta-regression.Translational psychiatry · 2023Pooled it
- The Role of the Gut Microbiota in the Development and Progression of Major Depressive and Bipolar Disorder.Nutrients · 2021Pooled it
- Gut Microbiota in Psychiatric Disorders: A Systematic Review.Psychosomatic medicine · 2021Pooled it
- Gut microbiota variations in patients diagnosed with major depressive disorder-A systematic review.Brain and behavior · 2021Pooled it
- Pooled it
- Paradigm Shift of Microbiota-gut-brain Axis During Aging: Potential Role of Probiotics to Improve Cognitive Decline.Probiotics and antimicrobial proteins · 2026Review
- Postbiotics as a Therapeutic Tool in Depression: Exploring into Molecular Pathways and Neuroprotective Effects.Probiotics and antimicrobial proteins · 2026Review
- Transcutaneous auricular vagus nerve stimulation improves depressive-like behaviors in CUMS rats through regulation of gut microbiome, serum metabolites, and immune factors.Frontiers in microbiology · 2026Article
- Host-microbiome relationship in depression: can human induced pluripotent stem cells play a role in unravelling mechanisms?NPJ biofilms and microbiomes · 2025Review
- Medication use is associated with distinct microbial features in anxiety and depression.Molecular psychiatry · 2025Article
- The microbiota-gut-brain axis in depression: unraveling the relationships and therapeutic opportunities.Frontiers in immunology · 2025Review
- Early-life gut microbiome development and its potential long-term impact on health outcomes.Microbiome research reports · 2025Review
- Interplay of human ABCC11 transporter gene variants with axillary skin microbiome functional genomics.Scientific reports · 2024Article
- Deciphering relationship between depression and microbial molecules based on multi-omics: A case study of Chaigui Granules.Chinese herbal medicines · 2024Article
- Gut microbiome predicts cognitive function and depressive symptoms in late life.Molecular psychiatry · 2024Article
- Identifying Depression Through Machine Learning Analysis of Omics Data: Scoping Review.JMIR nursing · 2024Article
- Review: A Contemporary, Multifaced Insight into Psoriasis Pathogenesis.Journal of personalized medicine · 2024Review
- Article
- Gamma-aminobutyric acid as a potential postbiotic mediator in the gut-brain axis.NPJ science of food · 2024Review
- Medication Use is Associated with Distinct Microbial Features in Anxiety and Depression.bioRxiv : the preprint server for biology · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 1 institution in 2 countries.
Funding
Abstract
Single nucleotide exact amplicon sequence variants (ASV) of the human gut microbiome were used to evaluate if individuals with a depression phenotype (DEPR) could be identified from healthy reference subjects (NODEP). Microbial DNA in stool samples obtained from 40 subjects were characterized using high throughput microbiome sequence data processed via DADA2 error correction combined with PIME machine-learning de-noising and taxa binning/parsing of prevalent ASVs at the single nucleotide level of resolution. Application of ALDEx2 differential abundance analysis with assessed effect sizes and stringent PICRUSt2 predicted metabolic pathways. This multivariate machine-learning approach significantly differentiated DEPR (n = 20) vs. NODEP (n = 20) (PERMANOVA P < 0.001) based on microbiome taxa clustering and neurocircuit-relevant metabolic pathway network analysis for GABA, butyrate, glutamate, monoamines, monosaturated fatty acids, and inflammasome components. Gut microbiome dysbiosis using ASV prevalence data may offer the diagnostic potential of using human metaorganism biomarkers to identify individuals with a depression phenotype.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.