Evidence map›Paper›PMID 31037552›Full record

ReviewCurrent HIV/AIDS reports2019

HIV and the Gut Microbiota: Composition, Consequences, and Avenues for Amelioration.

Ivan Vujkovic-Cvijin, Ma Somsouk

Open access · greenAbstract readReview
In one paragraph

Review in Current HIV/AIDS reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 109 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
109citing papers in PubMed, 3 pooled it
7.3field-weighted citation impact, top 2% 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

109 citing papers in PubMed, 3 syntheses or guidelines pooled it, 176 citations in OpenAlex.

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49 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

2 authors at 2 institutions in 1 country.

Ivan Vujkovic-CvijinMetaorganism Immunity Section, National Institute of Allergy & Infectious Disease, National Institutes of Health, Bethesda, MD, USA. ivc@nih.gov.
Ma SomsoukDivision of Gastroenterology, University of California, San Francisco, CA, USA. ma.somsouk@ucsf.edu.
National Institute of Allergy and Infectious Diseases · USUniversity of California, San Francisco · US

Funding

Intramural NIH HHS Z99 AI999999
6 · The paper itself

Abstract

purpose of reviewWe discuss recent advances in understanding of gut bacterial microbiota composition in HIV-infected subjects and comment on controversies. We discuss the putative effects of microbiota shifts on systemic inflammation and HIV disease progression and potential mechanisms, as well as ongoing strategies being developed to modulate the gut microbiota in humans for amelioration of infectious and inflammatory diseases. RECENT

findingsLifestyle and behavioral factors relevant to HIV infection studies have independent effects on the microbiota. Microbial metabolism of immunomodulatory compounds and direct immune stimulation by translocation of microbes are putative mechanisms contributing to HIV disease. Fecal microbiota transplantation, microbial enzyme inhibition, phage therapy, and rationally selected probiotic cocktails have emerged as promising strategies for microbiota modulation. Numerous surveys of the HIV gut microbiota matched for lifestyle factors suggest consistent shifts in gut microbiota composition among HIV-infected subjects. Evidence exists for a complex pathogenic role of the gut microbiota in HIV disease progression, warranting further study.

Indexed as

BacteriaDisease ProgressionFecal Microbiota TransplantationGastrointestinal MicrobiomeHIV InfectionsHumansInflammationEngraftmentFecal transplantGut microbiotaHIVInflammation

Identifiers

PMID31037552
PMCPMC6579656
OpenAlexW2943121499

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.