Adrienne Tin1,2, Bing Yu3, Jianzhong Ma3, Kunihiro Masushita4,2, Natalie Daya4,2, Ron C Hoogeveen5, Christie M Ballantyne5, David Couper6, Casey M Rebholz4,2, Morgan E Grams4,7, Alvaro Alonso8, Thomas Mosley9, Gerardo Heiss10, Peter Ganz11, Elizabeth Selvin4,2, Eric Boerwinkle3,12, Josef Coresh4,2. 1. Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD; atin1@jhu.edu. 2. Welch Center for Prevention, Epidemiology and Clinical Research, Johns Hopkins University, Baltimore MD. 3. Department of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health, University of Texas Health Science Center at Houston, Houston, TX. 4. Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD. 5. Section of Cardiovascular Research, Department of Medicine, Baylor College of Medicine, Houston TX. 6. Department of Biostatistics, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC. 7. Division of Nephrology, Johns Hopkins School of Medicine, Baltimore, MD. 8. Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA. 9. Department of Neurology, The University of Mississippi Medical Center, Jackson, MS. 10. Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC. 11. Division of Cardiology, San Francisco General Hospital, University of California, San Francisco, CA. 12. Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX.
Abstract
BACKGROUND: There is growing interest in the use of multiplexed aptamer-based assays for large-scale proteomic studies. However, the analytic, short- and long-term variation of the measured proteins is largely uncharacterized. METHODS: We quantified 4001 plasma protein analytes from 42 participants in the Atherosclerosis Risk in Communities (ARIC) Study in split samples and at multiple visits using a multiplexed modified aptamer assay. We calculated the CV, Spearman correlation, and intraclass correlation (ICC) between split samples and evaluated the short-term (4-9 weeks) and long-term (approximately 20 years) variability using paired t-tests with log-transformed protein concentrations and Bonferroni-corrected significance thresholds. We performed principal component (PC) analysis of protein analyte concentrations and evaluated their associations with age, sex, race, and estimated glomerular filtration rate (eGFR). RESULTS: The mean baseline age was 57 years at the first visit, 43% of participants were male and 57% were white. Among 3693 protein analytes that passed quality control, half (n = 1846) had CVs < 5.0%, Spearman correlations > 0.89, and ICCs > 0.96 among the split samples. Over the short term, only 1 analyte had a statistically significant difference between the 2 time points, whereas, over approximately 20 years, 866 analytes (23.4%) had statistically significant differences (P < 1.4 × 10-5, 681 increased, 185 decreased). PC1 had high correlations with age (-0.73) and eGFR (0.60). PC2 had moderate correlation with male sex (0.18) and white race (0.31). CONCLUSIONS: Multiplexed modified aptamer technology can assay thousands of proteins with excellent precision. Our results support the potential for large-scale studies of the plasma proteome over the lifespan.
BACKGROUND: There is growing interest in the use of multiplexed aptamer-based assays for large-scale proteomic studies. However, the analytic, short- and long-term variation of the measured proteins is largely uncharacterized. METHODS: We quantified 4001 plasma protein analytes from 42 participants in the Atherosclerosis Risk in Communities (ARIC) Study in split samples and at multiple visits using a multiplexed modified aptamer assay. We calculated the CV, Spearman correlation, and intraclass correlation (ICC) between split samples and evaluated the short-term (4-9 weeks) and long-term (approximately 20 years) variability using paired t-tests with log-transformed protein concentrations and Bonferroni-corrected significance thresholds. We performed principal component (PC) analysis of protein analyte concentrations and evaluated their associations with age, sex, race, and estimated glomerular filtration rate (eGFR). RESULTS: The mean baseline age was 57 years at the first visit, 43% of participants were male and 57% were white. Among 3693 protein analytes that passed quality control, half (n = 1846) had CVs < 5.0%, Spearman correlations > 0.89, and ICCs > 0.96 among the split samples. Over the short term, only 1 analyte had a statistically significant difference between the 2 time points, whereas, over approximately 20 years, 866 analytes (23.4%) had statistically significant differences (P < 1.4 × 10-5, 681 increased, 185 decreased). PC1 had high correlations with age (-0.73) and eGFR (0.60). PC2 had moderate correlation with male sex (0.18) and white race (0.31). CONCLUSIONS: Multiplexed modified aptamer technology can assay thousands of proteins with excellent precision. Our results support the potential for large-scale studies of the plasma proteome over the lifespan.
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