ArticleInternational journal of molecular sciences2023
Unveiling the Connection between Microbiota and Depressive Disorder through Machine Learning.
Article in International journal of molecular sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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
8 citing papers in PubMed, 10 citations in OpenAlex.
- Major Depressive Disorder Signatures: A Review of Artificial Intelligence (AI)-Powered Insights Into Gut Dysbiosis.Health science reports · 2026Article
- Integrating gut microbiota and violence exposure metrics to classify psychological distress in middle-aged adults.Communications medicine · 2026Article
- The microbiota-gut-brain axis perspective: mechanisms and intervention strategies for the comorbidity of chronic constipation and depression.Frontiers in microbiology · 2026Review
- Gut Microbiome as a Source of Probiotic Drugs for Parkinson's Disease.International journal of molecular sciences · 2025Review
- Dysbiosis and depression: A study of gut microbiota alterations and functional pathways in antidepressant-naïve mood disorder patients.Translational psychiatry · 2025Article
- Gut Microbiota: A New Challenge in Mood Disorder Research.Life (Basel, Switzerland) · 2025Review
- Pharmacological modulation of the gut-brain axis: psychobiotics in focus for depression therapy.Frontiers in pharmacology · 2025Review
- Human Gut Microbiota for Diagnosis and Treatment of Depression.International journal of molecular sciences · 2024Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 1 institution in 1 country.
Funding
Abstract
In the last few years, investigation of the gut-brain axis and the connection between the gut microbiota and the human nervous system and mental health has become one of the most popular topics. Correlations between the taxonomic and functional changes in gut microbiota and major depressive disorder have been shown in several studies. Machine learning provides a promising approach to analyze large-scale metagenomic data and identify biomarkers associated with depression. In this work, machine learning algorithms, such as random forest, elastic net, and You Only Look Once (YOLO), were utilized to detect significant features in microbiome samples and classify individuals based on their disorder status. The analysis was conducted on metagenomic data obtained during the study of gut microbiota of healthy people and patients with major depressive disorder. The YOLO method showed the greatest effectiveness in the analysis of the metagenomic samples and confirmed the experimental results on the critical importance of a reduction in the amount of
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What Socratic holds
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 Socratic graph.