Evidence map›Paper›PMID 27287300›Full record

ArticleAmerican journal of kidney diseases : the official journal of the National Kidney Foundation2016

HIV Infection, Tenofovir, and Urine α1-Microglobulin: A Cross-sectional Analysis in the Multicenter AIDS Cohort Study.

Vasantha Jotwani, Rebecca Scherzer, Michelle M Estrella, Lisa P Jacobson, Mallory D Witt, Frank J Palella, Bernard Macatangay, Michael Bennett, Chirag R Parikh, Joachim H Ix and 1 more

Open access · greenAbstract readMulticenter Study
In one paragraph

Article in American journal of kidney diseases : the official journal of the National Kidney Foundation, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 1 pooled it
4.0field-weighted citation impact, top 6% 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

24 citing papers in PubMed, 1 synthesis or guideline pooled it, 41 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Trial
  4. Article
  5. Observational
  6. Article
  7. Article
  8. Article
  9. Article
  10. The Promise of Tubule Biomarkers in Kidney Disease: A Review.American journal of kidney diseases : the official journal of the National Kidney Foundation · 2021
    Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Association of Statin Use With Kidney Damage and Function Among HIV-Infected Men.Journal of acquired immune deficiency syndromes (1999) · 2019
    Article
  16. Observational
  17. Biomarkers of Acute and Chronic Kidney Disease.Annual review of physiology · 2019
    Review
  18. Review
  19. Article
  20. Article
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

11 authors at 10 institutions in 1 country.

Vasantha JotwaniDepartment of Medicine, San Francisco VA Medical Center, San Francisco, CA; Department of Epidemiology and Biostatistics, University of California, San Francisco, CA. Electronic address: vasantha.jotwani@ucsf.edu.
Rebecca ScherzerDepartment of Medicine, San Francisco VA Medical Center, San Francisco, CA; Department of Epidemiology and Biostatistics, University of California, San Francisco, CA.
Michelle M EstrellaDepartment of Medicine, Johns Hopkins School of Medicine, Baltimore, MD.
Lisa P JacobsonDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD.
Mallory D WittDivision of HIV Medicine, Department of Medicine, Harbor-UCLA Medical Center and the Los Angeles Biomedical Research Institute at Harbor-UCLA, Torrance, CA.
Frank J PalellaDivision of Infectious Diseases, Department of Medicine, Northwestern University, Chicago, IL.
Bernard MacatangayDivision of Infectious Diseases, Department of Medicine, University of Pittsburgh, Pittsburgh, PA.
Michael BennettDivision of Nephrology and Hypertension, Cincinnati Children's Hospital Medical Center, Cincinnati, OH.
Chirag R ParikhSection of Nephrology, Department of Medicine, Yale University, New Haven, CT; Program of Applied Translational Research, Yale University, New Haven, CT.
Joachim H IxDivision of Nephrology-Hypertension, Department of Medicine, University of California, San Diego, CA; Nephrology Section, Veterans Affairs San Diego Healthcare System, San Diego, CA.
Michael G ShlipakDepartment of Medicine, San Francisco VA Medical Center, San Francisco, CA; Kidney Health Research Collaborative, San Francisco VA Medical Center and University of California, San Francisco, CA.
San Francisco VA Medical Center · USCincinnati Children's Hospital Medical Center · USJohns Hopkins Medicine · USJohns Hopkins University · USNorthwestern University · USUCLA Medical Center · USUniversity of California, San Francisco · USUniversity of Pittsburgh · USVA San Diego Healthcare System · USYale University · US

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Virology CoreP30AI027763 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI STEVEN Grant DEEKS · 1988 to 2026
$93.6M
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
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
Institute for Clinical and Translational ResearchUL1TR001079 · NCATS · JOHNS HOPKINS UNIVERSITY · PI FORD, DANIEL ERNEST · 2013 to 2017
$60.1M
Center for the Analysis & Management of the Multicenter AIDS Cohort StudyUM1AI035043 · NIAID · JOHNS HOPKINS UNIVERSITY · PI D'SOUZA, GYPSYAMBER, JACOBSON, LISA P · 2012 to 2018
$20.7M
The Aging Kidney in HIV-Infection: biomarkers for early detection of injuryR01AG034853 · NIA · NORTHERN CALIFORNIA INSTITUTE/RES/EDU · PI ESTRELLA, MICHELLE M, SHLIPAK, MICHAEL G · 2010 to 2025
$9.6M
Biomarkers of Drug-induced Kidney Injury in HIVK23DK109868 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI JOTWANI, VASANTHA KOLAVENNU · 2016 to 2020
$993k
NCATS NIH HHS UL1 TR001079NCATS NIH HHS UL1 TR001863NIAID NIH HHS P30 AI027763NIAID NIH HHS U01 AI035039NIAID NIH HHS U01 AI035040NIAID NIH HHS U01 AI035041NIAID NIH HHS U01 AI035042NIAID NIH HHS UM1 AI035043NIA NIH HHS R01 AG034853NIDDK NIH HHS K23 DK109868
6 · The paper itself

Abstract

backgroundTenofovir disoproxil fumarate (TDF) can cause proximal tubular damage and chronic kidney disease in human immunodeficiency virus (HIV)-infected individuals. Urine α1-microglobulin (A1M), a low-molecular-weight protein indicative of proximal tubular dysfunction, may enable earlier detection of TDF-associated tubular toxicity. STUDY

designCross-sectional. SETTING &

participants883 HIV-infected and 350 -uninfected men enrolled in the Multicenter AIDS Cohort Study. PREDICTORS: HIV infection and TDF exposure. OUTCOME: Urine A1M level.

resultsUrine A1M was detectable in 737 (83%) HIV-infected and 202 (58%) -uninfected men (P<0.001). Among HIV-infected participants, 573 (65%) were current TDF users and 112 (13%) were past TDF users. After multivariable adjustment including demographics, traditional kidney disease risk factors, and estimated glomerular filtration rate, HIV infection was associated with 136% (95% CI, 104%-173%) higher urine A1M levels and 1.5-fold (95% CI, 1.3- to 1.6-fold) prevalence of detectable A1M. When participants were stratified by TDF exposure, HIV infection was associated with higher adjusted A1M levels, by 164% (95% CI, 127%-208%) among current users, 124% (95% CI, 78%-183%) among past users, and 76% (95% CI, 45%-115%) among never users. Among HIV-infected participants, each year of cumulative TDF exposure was associated with 7.6% (95% CI, 5.4%-9.9%) higher A1M levels in fully adjusted models, a 4-fold effect size relative to advancing age (1.8% [95% CI, 0.9%-2.7%] per year). Each year since TDF treatment discontinuation was associated with 4.9% (95% CI, -9.4%--0.2%) lower A1M levels among past users. LIMITATIONS: Results may not be generalizable to women.

conclusionsHIV-infected men had higher urine A1M levels compared with HIV-uninfected men. Among HIV-infected men, cumulative TDF exposure was associated with incrementally higher A1M levels, whereas time since TDF treatment discontinuation was associated with progressively lower A1M levels. Urine A1M appears to be a promising biomarker for detecting and monitoring TDF-associated tubular toxicity.

Indexed as

Alpha-GlobulinsAnti-HIV AgentsCohort StudiesCross-Sectional StudiesHIV InfectionsHumansKidney Tubules, ProximalMaleMiddle AgedTenofoviralpha-1-microglobulinAlpha-GlobulinsAnti-HIV AgentsTenofovirantiretroviral (ARV) medicationbiomarkerHIV infectionkidney damageMulticenter AIDS Cohort Study (MACS)nephrotoxicityproximal tubular dysfunctionTenofovir disoproxil fumarate (TDF)tubular toxicityurine α(1)-microglobulin (A1M)

Identifiers

PMID27287300
PMCPMC5035569
OpenAlexW2523322919

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Registered trials

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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.