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Large-scale plasma proteomics comparisons through genetics and disease associations.通过遗传学和疾病关联进行大规模血浆蛋白质组学比较。
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人血浆高度多重蛋白质组学检测内部及之间的相关性

Correlations Within and Between Highly Multiplexed Proteomic Assays of Human Plasma.

作者信息

Rooney Mary R, Chen Jingsha, Ballantyne Christie M, Hoogeveen Ron C, Boerwinkle Eric, Yu Bing, Walker Keenan A, Schlosser Pascal, Selvin Elizabeth, Chatterjee Nilanjan, Couper David, Grams Morgan E, Coresh Josef

机构信息

Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States.

Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States.

出版信息

Clin Chem. 2025 Apr 2;71(6):677-87. doi: 10.1093/clinchem/hvaf030.

DOI:10.1093/clinchem/hvaf030
PMID:40172053
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12129588/
Abstract

INTRODUCTION

The number of assays on proteomic platforms has grown rapidly. The leading platforms, SomaScan and Olink, have strengths and limitations. Comparisons of precision on the latest platforms-SomaScan 11k and Olink Explore HT-have not yet been established.

METHODS

Among 102 participants in the Atherosclerosis Risk in Communities Study (mean age 74 years, 53% women, 47% Black), we used split plasma samples to measure platform precision. CV and Spearman correlations were calculated for each assay. Cross-platform agreement was assessed for overlapping proteins.

RESULTS

SomaScan 11k demonstrated a median correlation of 0.85 for the 10 778 assays and a median CV of 6.8%, similar precision to earlier versions. The 5420 assays on Olink Explore HT exhibited a median correlation of 0.65 and median CV of 35.7%, which was higher than observed in its predecessors (e.g., 19.8% for Olink Explore 3072). Precision of Olink assays was inversely correlated with the percentage of samples above the limit of detection (LOD) (r = -0.77). Upon replacing Olink values below the LOD with values half the LOD, the median correlation for Olink assays measured in duplicate increased to 0.79; the median CV decreased to 13.3%. The distribution of between-platform correlations for the 4443 overlapping proteins had peaks at r approximately 0 and at r approximately 0.8. One-tenth of the protein pairs had cross-platform correlations r ≥ 0.8.

CONCLUSIONS

Precision of these 2 proteomics platforms in human plasma has diverged as the coverage has increased. These results highlight the need for careful consideration in platform selection based on specific research requirements.

摘要

引言

蛋白质组学平台上的检测数量增长迅速。领先的平台SomaScan和Olink各有优缺点。最新平台SomaScan 11k和Olink Explore HT的精密度比较尚未确立。

方法

在社区动脉粥样硬化风险研究的102名参与者(平均年龄74岁,53%为女性,47%为黑人)中,我们使用分离的血浆样本测量平台精密度。计算每种检测的CV和Spearman相关性。评估重叠蛋白的跨平台一致性。

结果

SomaScan 11k在10778项检测中的中位数相关性为0.85,中位数CV为6.8%,与早期版本的精密度相似。Olink Explore HT上的5420项检测的中位数相关性为0.65,中位数CV为35.7%,高于其前身(例如,Olink Explore 3072为19.8%)。Olink检测的精密度与高于检测限(LOD)的样本百分比呈负相关(r = -0.77)。将低于LOD的Olink值替换为LOD的一半后,重复测量的Olink检测的中位数相关性增加到0.79;中位数CV降至13.3%。4443种重叠蛋白的平台间相关性分布在r约为0和r约为0.8处有峰值。十分之一的蛋白对具有跨平台相关性r≥0.8。

结论

随着覆盖范围的增加,这两种蛋白质组学平台在人血浆中的精密度出现了差异。这些结果凸显了根据具体研究需求谨慎选择平台的必要性。