ArticleProteomics2020
Comparison of Proteomic Assessment Methods in Multiple Cohort Studies.
Article in Proteomics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 121 papers, 3 of them syntheses that pooled 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.
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.
Who cites it
121 citing papers in PubMed, 3 syntheses or guidelines pooled it, 175 citations in OpenAlex.
- Blood Plasma Proteome: A Meta-Analysis of the Results of Protein Quantification in Human Blood by Targeted Mass Spectrometry.International journal of molecular sciences · 2023Pooled it
- Increased soluble urokinase plasminogen activator levels modulate monocyte function to promote atherosclerosis.The Journal of clinical investigation · 2022Pooled it
- Achieving Precision Medicine in Allergic Disease: Progress and Challenges.Frontiers in immunology · 2021Pooled it
- Genome-wide analysis of 439 mass spectrometry-based proteomic profiles in a population of 15,035 Scottish individuals.Nature communications · 2026Article
- Protein Profiling Identifies Biomarkers for Predicting Disease Severity in Anti-NMDAR Encephalitis.International journal of molecular sciences · 2026Article
- Aptamer-Based Platforms for Human Aging Biomarkers: Multiplexed Proteomics, Biosensors and Translational Perspectives.International journal of molecular sciences · 2026Review
- Proteomic Signatures of 3-Year Progression From Impaired Fasting Glucose to Diabetes: The Atherosclerosis Risk in Communities (ARIC) Study.Diabetes care · 2026Article
- Multi-Omics Integration in Stroke: Neuroinflammatory Endotypes, Immune Cell Crosstalk, and Precision Biomarker Discovery.International journal of molecular sciences · 2026Review
- Lipoprotein(a)-associated proteomic signature predicts cardiovascular disease in young adults.The Journal of clinical investigation · 2026Observational
- The Proteomic Profile of Adults With a Fontan Circulation.JACC. Advances · 2026Article
- Dissecting non-small cell lung cancer (NSCLC) with blood proteomics-from surgical to immunotherapeutic responses.NPJ precision oncology · 2026Article
- Machine learning cross-platform proteomic imputation enables protein quality scoring and replication of epidemiological associations.bioRxiv : the preprint server for biology · 2026Article
- Plasma von Willebrand Factor and ADAMTS13 Interact WithJournal of the American Heart Association · 2026Article
- Proteomic Risk Score for Prediction of Incident Hypertension.Hypertension (Dallas, Tex. : 1979) · 2026Article
- Vascular-related proteomic signatures in COPD with suspected pulmonary hypertension as predictors of FEV₁ impairment.Respiratory research · 2026Article
- Plasma Proteomic Signatures for Alzheimer's Disease: Comparable Accuracy to ATN Biomarkers and Cross-Platform Validation.Annals of clinical and translational neurology · 2026Article
- Cross-ancestry comparison of aptamer and antibody protein measures.Nature communications · 2026Article
- The role of suPAR and related proteins in kidney, heart diseases, and diabetes.The Journal of clinical investigation · 2026Review
- Discovery of novel biomarkers associated with myocardial fibrosis in chimpanzees (Frontiers in veterinary science · 2026Article
- Baseline stool TIMP-2 predicts strictures and penetrating disease progression in Crohn's patients.Frontiers in immunology · 2026Article
61 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
39 authors at 20 institutions in 3 countries.
Funding
Abstract
Novel proteomics platforms, such as the aptamer-based SOMAscan platform, can quantify large numbers of proteins efficiently and cost-effectively and are rapidly growing in popularity. However, comparisons to conventional immunoassays remain underexplored, leaving investigators unsure when cross-assay comparisons are appropriate. The correlation of results from immunoassays with relative protein quantification is explored by SOMAscan. For 63 proteins assessed in two chronic obstructive pulmonary disease (COPD) cohorts, subpopulations and intermediate outcome measures in COPD Study (SPIROMICS), and COPDGene, using myriad rules based medicine multiplex immunoassays and SOMAscan, Spearman correlation coefficients range from -0.13 to 0.97, with a median correlation coefficient of ≈0.5 and consistent results across cohorts. A similar range is observed for immunoassays in the population-based Multi-Ethnic Study of Atherosclerosis and for other assays in COPDGene and SPIROMICS. Comparisons of relative quantification from the antibody-based Olink platform and SOMAscan in a small cohort of myocardial infarction patients also show a wide correlation range. Finally, cis pQTL data, mass spectrometry aptamer confirmation, and other publicly available data are integrated to assess relationships with observed correlations. Correlation between proteomics assays shows a wide range and should be carefully considered when comparing and meta-analyzing proteomics data across assays and studies.
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What OpenQuestion holds
Registered trials
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.