Evidence map›Paper›PMID 35598103›Full record

ArticleProteomics2022

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

Danielle E Haslam, Jun Li, Simon T Dillon, Xuesong Gu, Yin Cao, Oana A Zeleznik, Naoko Sasamoto, Xuehong Zhang, A Heather Eliassen, Liming Liang and 9 more

Abstract read
In one paragraph

Article in Proteomics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 93 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
93citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

93 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  14. Proteomic Risk Score for Prediction of Incident Hypertension.Hypertension (Dallas, Tex. : 1979) · 2026
    Article
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33 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

19 authors.

Danielle E HaslamChanning Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA.ORCID 0000-0003-0144-3287
Jun LiDepartment of Nutrition, Harvard T. H. Chan School of Public Health, Boston, Massachusetts, USA.
Simon T DillonGenomics, Proteomics, Bioinformatics and Systems Biology Center, Department of Medicine, Division of Interdisciplinary Medicine and Biotechnology, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, Massachusetts, USA.
Xuesong GuGenomics, Proteomics, Bioinformatics and Systems Biology Center, Department of Medicine, Division of Interdisciplinary Medicine and Biotechnology, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, Massachusetts, USA.
Yin CaoDivision of Public Health Sciences, Department of Surgery, Washington University in St. Louis, St. Louis, Missouri, USA.
Oana A ZeleznikChanning Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA.
Naoko SasamotoDepartment of Obstetrics and Gynecology, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA.
Xuehong ZhangChanning Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA.
A Heather EliassenChanning Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA.
Liming LiangDepartment of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, Massachusetts, USA.
Meir J StampferChanning Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA.
Samia MoraDivision of Preventive Medicine and Cardiovascular Division of Medicine and Center for Lipid Metabolomics, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA.
Zsu-Zsu ChenDepartment of Internal Medicine, Division of Endocrinology, Diabetes, and Metabolism, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, Massachusetts, USA.
Kathryn L TerryDepartment of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, Massachusetts, USA.
Robert E GersztenDivision of Cardiovascular Medicine, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, Massachusetts, USA.
Frank B HuChanning Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA.
Andrew T ChanChanning Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA.
Towia A LibermannGenomics, Proteomics, Bioinformatics and Systems Biology Center, Department of Medicine, Division of Interdisciplinary Medicine and Biotechnology, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, Massachusetts, USA.
Shilpa N BhupathirajuChanning Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA.

Funding

VectorP30CA006516 · NCI · DANA-FARBER CANCER INSTITUTE · PI A. Heather Eliassen · 1985 to 2026
$330.6M
Life Course Cancer Epidemiology Cohort in WomenU01CA176726 · NCI · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI ELIASSEN, A. HEATHER, WILLETT, WALTER C. · 2018 to 2025
$22.4M
Long Term Multidisciplinary Study of Cancer in Women: The Nurses Health StudyUM1CA186107 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI ELIASSEN, A. HEATHER, STAMPFER, MEIR · 2014 to 2023
$22.3M
Training Program in Cancer EpidemiologyT32CA009001 · NCI · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI A. Heather Eliassen, Meir Stampfer · 1985 to 2026
$17.3M
Cancer Epidemiology Cohort in Male Health ProfessionalsU01CA167552 · NCI · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI Lorelei Mucci, Walter C. Willett · 2017 to 2026
$17.0M
Premonopausal Hormone Levels and Risk of Breast CancerR01CA067262 · NCI · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI HANKINSON, SUSAN E · 2002 to 2011
$11.9M
BIOCHEMICAL MARKERS IN THE NURSES'HEALTH STUDY COHORTR01CA049449 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI HANKINSON, SUSAN E · 1989 to 2008
$11.3M
Patient Centered Approaches to Preventing ASCVD EventsK24HL136852 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI SAMIA MORA · 2018 to 2026
$1.1M
Chronic Inflammation and Type 2 Diabetes: A Multi-omics ApproachR00DK122128 · NIDDK · BRIGHAM AND WOMEN'S HOSPITAL · PI LI, JUN · 2022 to 2024
$723k
Cancer Research UKNCI NIH HHS P30 CA006516NCI NIH HHS R01 CA049449NCI NIH HHS R01 CA067262NCI NIH HHS T32 CA009001NCI NIH HHS U01 CA167552NCI NIH HHS U01 CA176726NCI NIH HHS UM1 CA186107NHLBI NIH HHS K24 HL136852NIDDK NIH HHS R00 DK122128NIH HHS P30 CA006516NIH HHS R01 CA49449NIH HHS R01 CA67262NIH HHS T32 CA009001NIH HHS U01 CA167552NIH HHS U01 CA176726NIH HHS UM1 CA186107
6 · The paper itself

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.

Indexed as

ProteomicsSpecimen HandlingEpidemiologic StudiesFollow-Up StudiesHumansReproducibility of ResultsAptamersbiomarkersepidemiology studieslaboratory methods and toolsmultiplexingsystems biology

Identifiers

PMID35598103
PMCPMC9923770

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.