TY - JOUR
T1 - Temporal stability of serum concentrations of cytokines and soluble receptors measured across two years in low-risk HIV-seronegative men
AU - Epstein, Mara M.
AU - Breen, Elizabeth Crabb
AU - Magpantay, Larry
AU - Detels, Roger
AU - Lepone, Lauren
AU - Penugonda, Sudhir
AU - Bream, Jay H.
AU - Jacobson, Lisa Paula
AU - Martínez-Maza, Otoniel
AU - Birmann, Brenda M.
PY - 2013/11
Y1 - 2013/11
N2 - Background: Prospective cohort studies often quantify serum immune biomarkers at a single time point to determine risk of cancer and other chronic diseases that develop years later. Estimates of the within-person temporal stability of serum markers partly assess the utility of single biomarker measurements and may have important implications for the design of prospective studies of chronic disease risk. Methods: Using archived sera collected from 200 HIV-seronegative men at three visits spaced over approximately 2 years, concentrations of 14 biomarkers (ApoA1, sCD14, sgp130, sIL-6R, sIL-2Rα, sTNFR2, BAFF/BLyS, CXCL13, IFN-γ, interleukin [IL]-1β, IL-6, IL-8, IL-10, and TNF-α) were measured in a single laboratory. Age- And ethnicity-adjusted intraclass correlation coefficients (ICC) were calculated for each biomarker, and mixed linear regression models were used to examine the influence of age, ethnicity, season, and study site on biomarker concentrations. Results: Across all three study visits, most biomarkers had ICC values indicating fair to excellent withinperson stability.ApoA1(ICC=0.88) and TNF-α(ICC=0.87) showed the greatest stability; the ICC for IL-8 (ICC = 0.33) was remarkably less stable. The ICCs were similar when calculated between pairs of consecutive visits. The covariables did not influence biomarker levels or their temporal stability. All biomarkers showed moderate to strong pairwise correlations across visits. Conclusions: Serum concentrations of most evaluatedimmunebiomarkers displayed acceptable to excellent within-person temporal reliability over a 2-year period. Further investigation may be required to clarify the stability of IL-8. Impact: These findings lend support to using these serologic immune biomarkers in prospective studies investigating associations with chronic diseases. investigating associations with chronic diseases.
AB - Background: Prospective cohort studies often quantify serum immune biomarkers at a single time point to determine risk of cancer and other chronic diseases that develop years later. Estimates of the within-person temporal stability of serum markers partly assess the utility of single biomarker measurements and may have important implications for the design of prospective studies of chronic disease risk. Methods: Using archived sera collected from 200 HIV-seronegative men at three visits spaced over approximately 2 years, concentrations of 14 biomarkers (ApoA1, sCD14, sgp130, sIL-6R, sIL-2Rα, sTNFR2, BAFF/BLyS, CXCL13, IFN-γ, interleukin [IL]-1β, IL-6, IL-8, IL-10, and TNF-α) were measured in a single laboratory. Age- And ethnicity-adjusted intraclass correlation coefficients (ICC) were calculated for each biomarker, and mixed linear regression models were used to examine the influence of age, ethnicity, season, and study site on biomarker concentrations. Results: Across all three study visits, most biomarkers had ICC values indicating fair to excellent withinperson stability.ApoA1(ICC=0.88) and TNF-α(ICC=0.87) showed the greatest stability; the ICC for IL-8 (ICC = 0.33) was remarkably less stable. The ICCs were similar when calculated between pairs of consecutive visits. The covariables did not influence biomarker levels or their temporal stability. All biomarkers showed moderate to strong pairwise correlations across visits. Conclusions: Serum concentrations of most evaluatedimmunebiomarkers displayed acceptable to excellent within-person temporal reliability over a 2-year period. Further investigation may be required to clarify the stability of IL-8. Impact: These findings lend support to using these serologic immune biomarkers in prospective studies investigating associations with chronic diseases. investigating associations with chronic diseases.
UR - http://www.scopus.com/inward/record.url?scp=84887302496&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84887302496&partnerID=8YFLogxK
U2 - 10.1158/1055-9965.EPI-13-0379
DO - 10.1158/1055-9965.EPI-13-0379
M3 - Article
C2 - 23983237
AN - SCOPUS:84887302496
SN - 1055-9965
VL - 22
SP - 2009
EP - 2015
JO - Cancer Epidemiology Biomarkers and Prevention
JF - Cancer Epidemiology Biomarkers and Prevention
IS - 11
ER -