Evidence map›Paper›PMID 31883184›Full record

ArticleHIV medicine2020

Combined effects of HIV and obesity on the gastrointestinal microbiome of young men who have sex with men.

R R Cook, J A Fulcher, N H Tobin, F Li, D Lee, C Woodward, M Javanbakht, R Brookmeyer, S Shoptaw, R Bolan and 2 more

Open access · greenAbstract readComparative Study
In one paragraph

Article in HIV medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 2 pooled it
0.5field-weighted citation impact, top 29% 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

7 citing papers in PubMed, 2 syntheses or guidelines pooled it, 13 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Review
  6. Article
  7. Review
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

12 authors at 2 institutions in 1 country.

R R CookDepartment of Epidemiology, Fielding School of Public Health at the University of California, Los Angeles, CA, USA.ORCID 0000-0001-8754-995X
J A FulcherDivison of Infectious Diseases, Department of Medicine, David Geffen School of Medicine at the University of California, Los Angeles, CA, USA.
N H TobinDivision of Infectious Diseases, Department of Pediatrics, David Geffen School of Medicine at the University of California, Los Angeles, CA, USA.
F LiDivision of Infectious Diseases, Department of Pediatrics, David Geffen School of Medicine at the University of California, Los Angeles, CA, USA.
D LeeDivision of Infectious Diseases, Department of Pediatrics, David Geffen School of Medicine at the University of California, Los Angeles, CA, USA.
C WoodwardDivision of Infectious Diseases, Department of Pediatrics, David Geffen School of Medicine at the University of California, Los Angeles, CA, USA.
M JavanbakhtDepartment of Epidemiology, Fielding School of Public Health at the University of California, Los Angeles, CA, USA.
R BrookmeyerDepartment of Biostatistics, Fielding School of Public Health at the University of California, Los Angeles, CA, USA.
S ShoptawDepartment of Family Medicine, David Geffen School of Medicine at the University of California, Los Angeles, CA, USA.
R BolanLos Angeles LGBT Center, Los Angeles, CA, USA.
G M AldrovandiDivision of Infectious Diseases, Department of Pediatrics, David Geffen School of Medicine at the University of California, Los Angeles, CA, USA.
P M GorbachDepartment of Epidemiology, Fielding School of Public Health at the University of California, Los Angeles, CA, USA.
University of California, Los Angeles · USUniversity of Southern California · US

Funding

LOC-IMPAACT Leadership GroupPharmacokinetics and Safety of Remdesivir for Treatment of COVID-19 in Pregnant Women in the USUM1AI068632 · NIAID · SOCIAL AND SCIENTIFIC SYSTEMS, INC. · PI Jennifer Jao, Sharon A Nachman · 2011 to 2026
$278.1M
Statistical and Data Management Center-Pediatric,Adolescent, and Maternal CTGUM1AI068616 · NIAID · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI Sean Scott Brummel, Marlene Ann Cooper · 2011 to 2026
$155.6M
UCLA Rapid, Relevant, Rigorous Implementation Science HubP30MH058107 · NIMH · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Nina Thawata Harawa · 1997 to 2026
$53.5M
LC - IMPAACT Leadership GroupUM1AI106716 · NIAID · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Grace M Aldrovandi · 2014 to 2026
$47.2M
Virology CoreP30AI028697 · NIAID · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI KITCHEN, SCOTT G · 1991 to 2018
$39.9M
MSM and Substances Cohort at UCLA Linking Infections Noting Effects (MASCULINE) U01DA036267 · NIDA · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI GORBACH, PAMINA MAE, SHOPTAW, STEVEN J · 2013 to 2024
$20.5M
Microbiome and Mucosal Immune Interactions in the Pathogenesis of HIV-1 TransmissionK08AI124979 · NIAID · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI FULCHER, JENNIFER · 2018 to 2021
$617k
The effects of HIV, substance use, and obesity on the gastrointestinal microbiome of young men of color who have sex with menR36DA046310 · NIDA · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI COOK, RYAN · 2018 to 2018
$53k
National Institute of Allergy and Infectious Diseases UM1AI068616National Institute of Allergy and Infectious Diseases UM1AI068632NIAID NIH HHS K08 AI124979NIAID NIH HHS P30 AI028697NIAID NIH HHS UM1 AI068616NIAID NIH HHS UM1 AI068632NIAID NIH HHS UM1 AI106716NIDA NIH HHS R36 DA046310NIDA NIH HHS U01 DA036267NIMH NIH HHS P30 MH058107
6 · The paper itself

Abstract

objectivesThe prevalence of obesity is rising among people living with HIV, which may synergistically increase inflammation and the risk of associated diseases. Disruption of gut bacterial communities may be one of the key drivers of this inflammation; however, the combined effects of HIV and obesity on the microbiome have not been explored.

methodsThis study included 381 men who have sex with men. Thirty-nine were HIV-positive and obese (H+O+), 143 were HIV-positive and nonobese, 64 were HIV-negative and obese, and 135 were HIV-negative and nonobese. Microbiome composition was assessed by targeted sequencing of the V4 region of the 16S ribosomal RNA (rRNA) gene using rectal swab samples. Inverse probability of treatment-weighted marginal structural models were used to investigate differences in microbial composition between groups while controlling for numerous clinical and behavioural confounders.

resultsSignificant variability in microbial composition was explained by the combination of HIV and obesity, over and above each condition alone (R

conclusionsOur findings support the hypothesis that HIV and obesity act together to disrupt gut microbial communities, which may help explain higher levels of generalized inflammation among people living with both HIV and obesity.

Indexed as

AdultBacteriaDNA, BacterialDNA, RibosomalGastrointestinal MicrobiomeHIV InfectionsHomosexuality, MaleHumansInflammationMaleObesityPhylogenyRNA, Ribosomal, 16SSequence Analysis, DNAYoung AdultDNA, BacterialDNA, RibosomalRNA, Ribosomal, 16SHIVinverse probability of treatment weightingmen who have sex with menmicrobiomeobesity

Identifiers

PMID31883184
PMCPMC7299823
OpenAlexW2998676042

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.