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在流行病学研究中蛋白质组学谱的稳定性和可重复性:比较 Olink 和 SOMAscan 平台。

Stability and reproducibility of proteomic profiles in epidemiological studies: comparing the Olink and SOMAscan platforms.

机构信息

Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA.

Department of Nutrition, Harvard T. H. Chan School of Public Health, Boston, Massachusetts, USA.

出版信息

Proteomics. 2022 Jul;22(13-14):e2100170. doi: 10.1002/pmic.202100170. Epub 2022 May 31.

Abstract

Limited data exist on the performance of high-throughput proteomics profiling in epidemiological settings, including the impact of specimen collection and within-person variability over time. Thus, the Olink (972 proteins) and SOMAscan7Kv4.1 (7322 proteoforms of 6596 proteins) assays were utilized to measure protein concentrations in archived plasma samples from the Nurses' Health Studies and Health Professionals Follow-Up Study. Spearman's correlation coefficients (r) and intraclass correlation coefficients (ICCs) were used to assess agreement between (1) 42 triplicate samples processed immediately, 24-h or 48-h after blood collection from 14 participants; and (2) 80 plasma samples from 40 participants collected 1-year apart. When comparing samples processed immediately, 24-h, and 48-h later, 55% of assays had an ICC/r ≥ 0.75 and 87% had an ICC/r ≥ 0.40 in Olink compared to 44% with an ICC/r ≥ 0.75 and 72% with an ICC/r ≥ 0.40 in SOMAscan7K. For both platforms, >90% of the assays were stable (ICC/r ≥ 0.40) in samples collected 1-year apart. Among 817 proteins measured with both platforms, Spearman's correlations were high (r > 0.75) for 14.7% and poor (r < 0.40) for 44.8% of proteins. High-throughput proteomics profiling demonstrated reproducibility in archived plasma samples and stability after delayed processing in epidemiological studies, yet correlations between proteins measured with the Olink and SOMAscan7K platforms were highly variable.

摘要

关于高通量蛋白质组学分析在流行病学研究中的表现,包括标本采集和个体内随时间的变化对其的影响,相关数据有限。因此,本研究利用 Olink(972 种蛋白)和 SOMAscan7Kv4.1(6596 种蛋白的 7322 种蛋白形式)检测方法,测量了来自护士健康研究和健康专业人员随访研究的存档血浆样本中的蛋白浓度。采用斯皮尔曼相关系数(r)和组内相关系数(ICC)来评估(1)14 名参与者采血后 42 份重复样本立即、24 小时和 48 小时后处理的一致性;以及(2)40 名参与者相隔 1 年采集的 80 份血浆样本的一致性。与立即、24 小时和 48 小时后处理的样本相比,Olink 检测方法中 55%的检测方法具有 ICC/r≥0.75,87%的检测方法具有 ICC/r≥0.40,而 SOMAscan7K 中分别为 44%和 72%。对于这两个平台,超过 90%的检测方法在相隔 1 年采集的样本中具有稳定性(ICC/r≥0.40)。在两个平台都测量的 817 种蛋白中,Spearman 相关性高(r>0.75)的蛋白占 14.7%,相关性差(r<0.40)的蛋白占 44.8%。在流行病学研究中,高通量蛋白质组学分析在存档血浆样本中表现出可重复性,且延迟处理后具有稳定性,但 Olink 和 SOMAscan7K 平台测量的蛋白之间的相关性变化很大。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3ce2/9923770/24a088ac7b03/nihms-1864030-f0001.jpg

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