Evidence map›Paper›PMID 26792212›Full record

ArticleMicrobiome2016

Correlation of the lung microbiota with metabolic profiles in bronchoalveolar lavage fluid in HIV infection.

Sushma K Cribbs, Karan Uppal, Shuzhao Li, Dean P Jones, Laurence Huang, Laura Tipton, Adam Fitch, Ruth M Greenblatt, Lawrence Kingsley, David M Guidot and 2 more

Open access · goldAbstract read
In one paragraph

Article in Microbiome, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
52citing papers in PubMed, 1 pooled it
10.0field-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

52 citing papers in PubMed, 1 synthesis or guideline pooled it, 103 citations in OpenAlex.

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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 5 institutions in 1 country.

Sushma K CribbsPulmonary Medicine, Department of Veterans Affairs Medical Center, 1670 Clairmont Rd, Mailstop 151p, Decatur, 30033, GA, USA. skomaku@emory.edu.
Karan UppalDepartment of Medicine, Division of Pulmonary, Allergy and Critical Care, Emory University, Atlanta, GA, USA. kuppal2@emory.edu.
Shuzhao LiDepartment of Medicine, Division of Pulmonary, Allergy and Critical Care, Emory University, Atlanta, GA, USA. sli49@emory.edu.
Dean P JonesDepartment of Medicine, Division of Pulmonary, Allergy and Critical Care, Emory University, Atlanta, GA, USA. dpjones@emory.edu.
Laurence HuangDepartment of Medicine, HIV/AIDS Division and Division of Pulmonary and Critical Care Medicine, University of California, San Francisco, Medicine, San Francisco, CA, USA. laurence.huang@ucsf.edu.
Laura TiptonDepartment of Computational and Systems Biology, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA. tipton.laura@gmail.com.
Adam FitchDepartment of Medicine, Division of Pulmonary, Allergy, and Critical Care Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA. fitchad@pitt.edu.
Ruth M GreenblattDepartment of Clinical Pharmacy, University of California, San Francisco, Medicine, San Francisco, CA, USA. ruth.greenblatt@ucsf.edu.
Lawrence KingsleyDepartments of Infectious Diseases and Microbiology and Epidemiology, GSPH, University of Pittsburgh, Pittsburgh, PA, USA. kingsley@pitt.edu.
David M GuidotPulmonary Medicine, Department of Veterans Affairs Medical Center, 1670 Clairmont Rd, Mailstop 151p, Decatur, 30033, GA, USA. dguidot@emory.edu.
Elodie GhedinDepartment of Biology, Center for Genomics and Systems Biology, and Global Institute of Public Health, New York University, New York, NY, USA. elodie.ghedin@nyu.edu.
Alison MorrisDepartment of Medicine, Division of Pulmonary, Allergy, and Critical Care Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA. morrisa@upmc.edu.
Emory University · USUniversity of Pittsburgh · USUniversity of California, San Francisco · USNew York University · USVeterans Health Administration · US

Funding

UCSF CLINICAL AND TRANSLATIONAL SCIENCE INSTITUTEUL1RR024131 · NCRR · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI JOHNSTON, S. CLAIBORNE · 2006 to 2011
$111.2M
Engaging University of California Stakeholders for Biorespository ResearchUL1TR000004 · NCATS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI GRANDIS, JENNIFER RUBIN · 2012 to 2015
$78.0M
NATURAL HISTORY OF AIDS IN HOMOSEXUAL MENU01AI035040 · NIAID · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI DETELS, ROGER, MARTINEZ-MAZA, OTONIEL · 1993 to 2018
$75.2M
University of Pittsburgh Multicenter AIDS Cohort Study (MACS)U01AI035041 · NIAID · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI MARTINSON, JEREMY JAMES, RINALDO, CHARLES R · 1993 to 2018
$71.4M
MULTICENTER AIDS COHORT STUDYU01AI035039 · NIAID · NORTHWESTERN UNIVERSITY AT CHICAGO · PI WOLINSKY, STEVEN M · 1993 to 2018
$66.4M
Women's Interagency HIV Study (WIHS-V)U01AI035004 · NIAID · MONTEFIORE MEDICAL CENTER (BRONX, NY) · PI ANASTOS, KATHRYN M., SHARMA, ANJALI · 1993 to 2018
$65.7M
WOMEN'S INTERAGENCY HIV STUDY ORGANIZATION, MANAGEMENT AND COMMUNICATIONSU01AI034989 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI AOUIZERAT, BRADLEY E, GREENBLATT, RUTH MARTHA · 1993 to 2018
$65.6M
Multicenter Aids Cohort Study- Part B (Baltimore Site)U01AI035042 · NIAID · JOHNS HOPKINS UNIVERSITY · PI BROWN, TODD T, MARGOLICK, JOSEPH B. · 1993 to 2018
$61.5M
UCLA Clinical and Translational Science InstituteUL1TR000124 · NCATS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI DUBINETT, STEVEN M. · 2012 to 2015
$57.0M
Women's Interagency HIV Study (WIHS) IIIU01AI031834 · NIAID · SUNY DOWNSTATE MEDICAL CENTER · PI GUSTAFSON, DEBORAH R., MINKOFF, HOWARD · 1998 to 2018
$53.5M
WOMEN'S INTERAGENCY HIV STUDY (WIHS) ORGANIZATION AND MANAGEMENTU01AI034994 · NIAID · GEORGETOWN UNIVERSITY · PI KASSAYE, SEBLE G · 1993 to 2018
$52.0M
Women's Interagency HIV Study (WIHS) IV, Chicago ConsortiumU01AI034993 · NIAID · HEKTOEN INSTITUTE FOR MEDICAL RESEARCH · PI COHEN, MARDGE H, FRENCH, AUDREY · 1994 to 2018
$51.0M
NCATS NIH HHS UL1 TR000004NCATS NIH HHS UL1-TR000004NCATS NIH HHS UL1 TR000124NCATS NIH HHS UL1TR000124NCATS NIH HHS UL1 TR000424NCATS NIH HHS UL1-TR000424NCRR NIH HHS 5-MO1-RR-00722NCRR NIH HHS M01 RR000722NCRR NIH HHS UL1 RR024131NHLBI NIH HHS HL087713NHLBI NIH HHS K24 HL087713NHLBI NIH HHS K24 HL123342NHLBI NIH HHS K24HL123342NHLBI NIH HHS NIH HL113451NHLBI NIH HHS NIH R01 HL090339NHLBI NIH HHS P20 HL113451NHLBI NIH HHS R01 HL090339NHLBI NIH HHS U01 HL098962NIAID NIH HHS U01 AI031834NIAID NIH HHS U01 AI034989NIAID NIH HHS U01 AI034993NIAID NIH HHS U01 AI034994NIAID NIH HHS U01 AI035004NIAID NIH HHS U01 AI035039NIAID NIH HHS U01 AI035040NIAID NIH HHS U01 AI035041NIAID NIH HHS U01 AI035042NIAID NIH HHS U01 AI035043NIAID NIH HHS U01 AI037613NIAID NIH HHS U01 AI037984NIAID NIH HHS U01 AI042590NIAID NIH HHS U01 AI103408NIAID NIH HHS U01-AI35040NIAID NIH HHS U01-AI35041NIAID NIH HHS UM1 AI035043NIAID NIH HHS UM1-AI35043NIAID NIH HHS UO1-AI-31834NIAID NIH HHS UO1-AI-34989NIAID NIH HHS UO1-AI-34993NIAID NIH HHS UO1-AI-34994NIAID NIH HHS UO1-AI-35004NIAID NIH HHS UO1-AI-35039NIAID NIH HHS UO1-AI-35040NIAID NIH HHS UO1-AI-35041NIAID NIH HHS UO1-AI-35042NIAID NIH HHS UO1-AI-35043NIAID NIH HHS UO1-AI-37613NIAID NIH HHS UO1-AI-37984NIAID NIH HHS UO1-AI-42590NICHD NIH HHS U01 HD032632NICHD NIH HHS UO1-HD-32632NIH HHS S10 OD018006
6 · The paper itself

Abstract

backgroundWhile 16S ribosomal RNA (rRNA) sequencing has been used to characterize the lung's bacterial microbiota in human immunodeficiency virus (HIV)-infected individuals, taxonomic studies provide limited information on bacterial function and impact on the host. Metabolic profiles can provide functional information on host-microbe interactions in the lungs. We investigated the relationship between the respiratory microbiota and metabolic profiles in the bronchoalveolar lavage fluid of HIV-infected and HIV-uninfected outpatients.

resultsTargeted sequencing of the 16S rRNA gene was used to analyze the bacterial community structure and liquid chromatography-high-resolution mass spectrometry was used to detect features in bronchoalveolar lavage fluid. Global integration of all metabolic features with microbial species was done using sparse partial least squares regression. Thirty-nine HIV-infected subjects and 20 HIV-uninfected controls without acute respiratory symptoms were enrolled. Twelve mass-to-charge ratio (m/z) features from C18 analysis were significantly different between HIV-infected individuals and controls (false discovery rate (FDR) = 0.2); another 79 features were identified by network analysis. Further metabolite analysis demonstrated that four features were significantly overrepresented in the bronchoalveolar lavage (BAL) fluid of HIV-infected individuals compared to HIV-uninfected, including cystine, two complex carbohydrates, and 3,5-dibromo-L-tyrosine. There were 231 m/z features significantly associated with peripheral blood CD4 cell counts identified using sparse partial least squares regression (sPLS) at a variable importance on projection (VIP) threshold of 2. Twenty-five percent of these 91 m/z features were associated with various microbial species. Bacteria from families Caulobacteraceae, Staphylococcaceae, Nocardioidaceae, and genus Streptococcus were associated with the greatest number of features. Glycerophospholipid and lineolate pathways correlated with these bacteria.

conclusionsIn bronchoalveolar lavage fluid, specific metabolic profiles correlated with bacterial organisms known to play a role in the pathogenesis of pneumonia in HIV-infected individuals. These findings suggest that microbial communities and their interactions with the host may have functional metabolic impact in the lung.

Indexed as

MetabolomeAdultBronchoalveolar Lavage FluidCase-Control StudiesCaulobacteraceaeChromatography, LiquidCystineFemaleGlycerophospholipidsHIVHIV InfectionsHost-Pathogen InteractionsHumansLeast-Squares AnalysisLungMale3,5-dibromotyrosineCystineGlycerophospholipidsRNA, Ribosomal, 16STyrosine

Identifiers

PMID26792212
PMCPMC4721204
OpenAlexW2276063231

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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.