Evidence map›Paper›PMID 29407287›Full record

SynthesisJournal of psychiatric research2018

Overview and systematic review of studies of microbiome in schizophrenia and bipolar disorder.

Tanya T Nguyen, Tomasz Kosciolek, Lisa T Eyler, Rob Knight, Dilip V Jeste

Open access · bronzeAbstract readSystematic Review
In one paragraph

Synthesis in Journal of psychiatric research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 98 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
98citing papers in PubMed, 7 pooled it
12.9field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

98 citing papers in PubMed, 7 syntheses or guidelines pooled it, 211 citations in OpenAlex.

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38 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 3 institutions in 1 country.

Tanya T NguyenVA San Diego Healthcare System, Mental Illness Research, Education, and Clinical Center (MIRECC), San Diego, CA, United States; Department of Psychiatry, University of California San Diego, California, United States.
Tomasz KosciolekDepartment of Pediatrics, University of California San Diego, California, United States.
Lisa T EylerVA San Diego Healthcare System, Mental Illness Research, Education, and Clinical Center (MIRECC), San Diego, CA, United States; Department of Psychiatry, University of California San Diego, California, United States.
Rob KnightDepartment of Pediatrics, University of California San Diego, California, United States; Center for Microbiome Innovation, University of California San Diego, California, United States; Department of Computer Science and Engineering, University of California San Diego, California, United States.
Dilip V JesteDepartment of Psychiatry, University of California San Diego, California, United States; Center for Microbiome Innovation, University of California San Diego, California, United States; Department of Neurosciences, University of California San Diego, California, United States; Sam and Rose Stein Institute for Research on Aging, University of California San Diego, California, United States. Electronic address: djeste@ucsd.edu.
University of California, San Diego · USInstitute on Aging · USVA San Diego Healthcare System · US

Funding

FELLOWSHIP IN GERIATRIC MENTAL HEALTHT32MH019934 · NIMH · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Elizabeth W Twamley · 1994 to 2026
$9.5M
Accelerated Inflammaging in SchizophreniaR01MH094151 · NIMH · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI EYLER, LISA T · 2012 to 2021
$7.4M
NIMH NIH HHS R01 MH094151NIMH NIH HHS T32 MH019934
6 · The paper itself

Abstract

Schizophrenia and bipolar disorder are among the leading causes of disability, morbidity, and mortality worldwide. In addition to being serious mental illnesses, these disorders are associated with considerable systemic physiological dysfunction, including chronic inflammation and elevated oxidative stress. The advent of sophisticated sequencing techniques has led to a growing interest in the potential role of gut microbiota in human health and disease. Advances in this area have transformed our understanding of a number of medical conditions and have generated a new perspective suggesting that gut microbiota might be involved in the development and maintenance of brain/mental health. Animal models have demonstrated strong though indirect evidence for a contributory role of intestinal microbiota in psychiatric symptomatology and have linked the microbiome with neuropsychiatric conditions. We present a systematic review of clinical studies of microbiome in schizophrenia and bipolar disorder. The published literature has a number of limitations; however, the investigations suggest that these disorders are associated with reduced microbial diversity and show global community differences compared to non-psychiatric comparison samples. In some reports, specific microbial taxa were associated with clinical disease characteristics, including physical health, depressive and psychotic symptoms, and sleep, but little information on the functional potential of those community changes. Studies also suggest increased intestinal inflammation and permeability, which may be among the principal mechanisms by which microbial dysbiosis impacts systemic physiological functioning. We highlight gaps in the current literature and implications for diagnosis and therapeutic interventions, and outline future directions for microbiome research in psychiatry.

Indexed as

Gastrointestinal MicrobiomeBipolar DisorderHumansSchizophreniaBacteriaDepressionGutInflammationMicrobesOxidative stressPsychosis

Identifiers

PMID29407287
PMCPMC5849533
OpenAlexW2793974640

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.