TY - JOUR
T1 - Host factors associated with serologic inflammatory markers assessed using multiplex assays
AU - McKay, Heather S.
AU - Bream, Jay H.
AU - Margolick, Joseph B.
AU - Martínez-Maza, Otoniel
AU - Phair, John P.
AU - Rinaldo, Charles R.
AU - Abraham, Alison G.
AU - Jacobson, Lisa P.
N1 - Funding Information:
Samples and data in this manuscript were collected by the Multicenter AIDS Cohort Study (MACS) with support from an American Recovery and Reinvestment Act (ARRA) supplement with centers (Principal Investigators) at: Johns Hopkins University Bloomberg School of Public Health (Joseph Margolick), U01-AI35042 ; Northwestern University (Steven Wolinsky), U01-AI35039 ; University of California, Los Angeles (Roger Detels, Otoniel Martinez-Maza), U01-AI35040 ; University of Pittsburgh (Charles Rinaldo), U01-AI35041 ; the Center for Analysis and Management of MACS, Johns Hopkins University Bloomberg School of Public Health (Lisa Jacobson), UM1-AI35043 . The MACS is funded primarily by the National Institute of Allergy and Infectious Diseases (NIAID), with additional co-funding from the National Cancer Institute (NCI). This work was supported by the HIV Prevention Trials Network (HPTN) sponsored by the National Institute of Allergy and Infectious Diseases (NIAID), National Institute on Drug Abuse , National Institute of Mental Health , and Office of AIDS Research, of the NIH, DHHS ( UM1 AI068613 ). Website located at http://www.statepi.jhsph.edu/macs/macs.html . The contents of this publication are solely the responsibility of the authors and do not represent the official views of the National Institutes of Health (NIH).
Publisher Copyright:
© 2016 Elsevier Ltd.
PY - 2016/9/1
Y1 - 2016/9/1
N2 - Chronic systemic inflammation contributes to the development of adverse health conditions, yet the influence of fixed and modifiable risk factors on many serologic biomarkers of inflammation remains largely unknown. Serum concentrations of twenty-three biomarkers, including C-reactive protein (CRP), cytokines (CXCL11, CXCL8, CXCL10, CCL2, CCL13, CCL4, CCL17, CXCL13, IL-10, IL-12p70, IL-6, TNF-α, IL-2, IFN-γ, IL-1β, GM-CSF, BAFF), and soluble immune receptors (sCD14, sIL-2Rα, sCD27, sgp130, sTNF-R2) were measured longitudinally using multiplexed immunometric assays in 250 HIV-uninfected men followed in the Multicenter AIDS Cohort Study (1984-2009). Generalized gamma regression was used to determine the statistical significance of factors associated with each biomarker. After accounting for age, race, and education, and for analysis of multiple biomarkers, higher concentrations of specific individual biomarkers were significantly (P < 0.002) associated with hypertension, obesity, hepatitis C infection, stimulant use, and diabetes and lower concentrations with hypercholesterolemia. These associations should be taken into account in epidemiological studies of these biomarkers, and may provide potential targets for disease prevention and treatment.
AB - Chronic systemic inflammation contributes to the development of adverse health conditions, yet the influence of fixed and modifiable risk factors on many serologic biomarkers of inflammation remains largely unknown. Serum concentrations of twenty-three biomarkers, including C-reactive protein (CRP), cytokines (CXCL11, CXCL8, CXCL10, CCL2, CCL13, CCL4, CCL17, CXCL13, IL-10, IL-12p70, IL-6, TNF-α, IL-2, IFN-γ, IL-1β, GM-CSF, BAFF), and soluble immune receptors (sCD14, sIL-2Rα, sCD27, sgp130, sTNF-R2) were measured longitudinally using multiplexed immunometric assays in 250 HIV-uninfected men followed in the Multicenter AIDS Cohort Study (1984-2009). Generalized gamma regression was used to determine the statistical significance of factors associated with each biomarker. After accounting for age, race, and education, and for analysis of multiple biomarkers, higher concentrations of specific individual biomarkers were significantly (P < 0.002) associated with hypertension, obesity, hepatitis C infection, stimulant use, and diabetes and lower concentrations with hypercholesterolemia. These associations should be taken into account in epidemiological studies of these biomarkers, and may provide potential targets for disease prevention and treatment.
KW - C-reactive protein
KW - Chemokines
KW - Cytokine receptors
KW - Cytokines
KW - Immune activation
KW - Risk factors
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U2 - 10.1016/j.cyto.2016.05.016
DO - 10.1016/j.cyto.2016.05.016
M3 - Article
C2 - 27295613
AN - SCOPUS:84973470138
SN - 1043-4666
VL - 85
SP - 71
EP - 79
JO - Cytokine
JF - Cytokine
ER -