Evidence map›Paper›PMID 24587328›Full record

ArticlePloS one2014

Monocytes expand with immune dysregulation and is associated with insulin resistance in older individuals with chronic HIV.

Cecilia M Shikuma, Dominic C Chow, Louie Mar A Gangcuangco, Guangxiang Zhang, Sheila M Keating, Philip J Norris, Todd B Seto, Nisha Parikh, Kalpana J Kallianpur, Beau K Nakamoto and 3 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
4.1field-weighted citation impact, top 7% 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

28 citing papers in PubMed, 43 citations in OpenAlex.

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  19. Inflammation and Metabolic Complications in HIV.Current HIV/AIDS reports · 2018
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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

13 authors at 3 institutions in 1 country.

Cecilia M ShikumaHawaii Center for AIDS, University of Hawaii, Honolulu, Hawaii, United States of America.
Dominic C ChowHawaii Center for AIDS, University of Hawaii, Honolulu, Hawaii, United States of America.
Louie Mar A GangcuangcoHawaii Center for AIDS, University of Hawaii, Honolulu, Hawaii, United States of America.
Guangxiang ZhangHawaii Center for AIDS, University of Hawaii, Honolulu, Hawaii, United States of America.
Sheila M KeatingBlood Systems Research Institute, San Francisco, California, United States of America.
Philip J NorrisBlood Systems Research Institute, San Francisco, California, United States of America ; University of California San Francisco, San Francisco, California, United States of America.
Todd B SetoHawaii Center for AIDS, University of Hawaii, Honolulu, Hawaii, United States of America ; Queen's Medical Center, Honolulu, Hawaii, United States of America.
Nisha ParikhHawaii Center for AIDS, University of Hawaii, Honolulu, Hawaii, United States of America ; Queen's Medical Center, Honolulu, Hawaii, United States of America.
Kalpana J KallianpurHawaii Center for AIDS, University of Hawaii, Honolulu, Hawaii, United States of America.
Beau K NakamotoHawaii Center for AIDS, University of Hawaii, Honolulu, Hawaii, United States of America ; Straub Clinic and Hospital, Honolulu, Hawaii, United States of America.
Lorna S NagamineHawaii Center for AIDS, University of Hawaii, Honolulu, Hawaii, United States of America.
Lishomwa C NdhlovuHawaii Center for AIDS, University of Hawaii, Honolulu, Hawaii, United States of America.
Jason D BarbourHawaii Center for AIDS, University of Hawaii, Honolulu, Hawaii, United States of America.
University of Hawaiʻi at Mānoa · USUniversity of Hawaii System · USBlood Systems Research Institute · US

Funding

Virology CoreP30AI027763 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI STEVEN Grant DEEKS · 1988 to 2026
$93.6M
RESEARCH DESIGN AND BIOSTATISTICS COREU54MD007584 · NIMHD · UNIVERSITY OF HAWAII AT MANOA · PI HEDGES, JERRIS ROBERT, MOKUAU, NOREEN · 2012 to 2018
$21.1M
RESEARCH DESIGN, BIOSTATISTICS AND RESEARCH ETHICS COREG12MD007601 · NIMHD · UNIVERSITY OF HAWAII AT MANOA · PI BERRY, MARLA J · 2012 to 2016
$13.0M
RESEARCH ETHICSU54RR026136 · NCRR · UNIVERSITY OF HAWAII AT MANOA · PI INAZU, JUDITH · 2010 to 2011
$8.5M
Role of Oxidative Stress and Inflammation in HIV Cardiovascular RiskR01HL095135 · NHLBI · UNIVERSITY OF HAWAII AT MANOA · PI SHIKUMA, CECILIA M. · 2008 to 2012
$4.5M
NCRR NIH HHS U54 RR026136NCRR NIH HHS U54RR026136NHLBI NIH HHS R01 HL095135NHLBI NIH HHS R01HL095135NIAID NIH HHS P30 AI027763NIMHD NIH HHS G12 MD007601NIMHD NIH HHS G12MD007601NIMHD NIH HHS U54 MD007584NIMHD NIH HHS U54MD007584
6 · The paper itself

Abstract

backgroundRates of insulin resistance are increased in HIV-infected patients on stable antiretroviral therapy (ART). Such increase may partially be due to HIV-induced immune dysregulation involving monocytes (MO) and its subsets. MATERIALS AND

methodsCross-sectional analysis of 141 HIV-infected subjects age ≥ 40 years on stable ART. Homeostatic model assessment-insulin resistance (HOMA-IR) and rates of metabolic syndrome were calculated. Subjects were classified by fasting glucose and oral glucose tolerance test (OGTT) into clinical diabetes categories. Multi-parametric flow cytometry was used to determine MO subset percentages: [classical (CD14(++)CD16(-)), intermediate (CD14(++)CD16(+)), non-classical (CD14(low/+)CD16(++)), and a recently identified fourth (CD14(low/+)CD16(-)) 'transitional' MO subset] and percentage of activated (CD38(+)HLA-DR(+)) CD8 T cells. Absolute levels of cells were calculated using clinical CBC and T cell subset data. Multiple plasma soluble biomarkers were assessed by Luminex technology.

resultsMedian age 50 years, CD4 count (percent) 505 cells/µL (29%), and 89% male. Total MO (r=-0.23, p=0.006) and classical and non-classical MO subsets correlated negatively with CD4 percent. No correlations were seen with CD4 count as absolute values. Log-total MO and log-classical MO predicted HOMA-IR independently of HIV immuno-virologic and diabetes risk factors (β=0.42, p=0.02 and β=0.35, p=0.02, respectively) and were increased in subjects with metabolic syndrome (p=0.03 and p=0.05 respectively). Total and/or subset MO levels correlated with multiple soluble plasma biomarkers including CRP, IL-6, MMP-9, MPO, SAA, SAP and tPAI-1, with tPAI-1 independently predicting HOMA-IR (β=0.74, p<0.001).

conclusionsMO levels increase with worsening HIV immune dysregulation as assessed by CD4 percent. CD4 percent may provide additional information about MO and metabolic risk in this population beyond absolute values. MO, and specifically classical MO, may contribute to insulin resistance and metabolic syndrome during chronic HIV infection. Multiple soluble plasma biomarkers including tPAI-1 increase with increase in MO. Levels of tPAI-1 independently predict the development of insulin resistance.

Indexed as

Age FactorsBiomarkersBlood GlucoseCross-Sectional StudiesDiabetes MellitusFemaleHIV InfectionsHumansImmunophenotypingInsulin ResistanceLymphocyte CountMaleMetabolic SyndromeMiddle AgedMonocytesRisk FactorsBiomarkersBlood Glucose

Identifiers

PMID24587328
PMCPMC3937368
OpenAlexW1971781819

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.