ArticleClinical proteomics2021
Variable blood processing procedures contribute to plasma proteomic variability.
Article in Clinical proteomics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
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Who cites it
21 citing papers in PubMed.
- Preanalytical Workflow Establishment for Reproducible Clinical Blood-Based Infrared Molecular Fingerprinting.Analytical chemistry · 2026Article
- Integrated proteomic and metabolomic analyses implicate redox-metabolic pathways in PTSD-associated multisystem disease and accelerated aging.Nature communications · 2026Article
- The effect of preanalytical factors on cerebrospinal fluid and plasma proteomics: a systematic experimental study.Clinical proteomics · 2026Article
- A deep joint-learning proteomics model for diagnosis of six conditions associated with dementia.Nature medicine · 2026Article
- Impact of Variations in Commercial Standard Operating Procedure on Plasma Proteome Recovery.Journal of proteome research · 2026Article
- Harnessing New Tools for Old Challenges: Optimising Neat Plasma Proteomics with Automation and Gas-Phase Fractionation.ACS measurement science au · 2026Article
- Influence of Isolation Techniques on the Quality of Plasma Samples: Implications for Cancer Biobanking.International journal of molecular sciences · 2025Article
- Benchmarking the AI-based diagnostic potential of plasma proteomics for neurodegenerative disease in 17,170 people.medRxiv : the preprint server for health sciences · 2025Article
- Body fluid biomarkers and psychosis risk in The Accelerating Medicines Partnership® Schizophrenia Program: design considerations.Schizophrenia (Heidelberg, Germany) · 2025Article
- Next Generation Risk Assessment of Acute Neurotoxicity from Organophosphate Exposures Using the In Vitro-In Silico Derived Dietary Comparator Ratio.Environmental science & technology · 2025Article
- Crossing the Halfway Point: Aptamer-Based, Highly Multiplexed Assay for the Assessment of the Proteome.Journal of proteome research · 2024Review
- Assessing and mitigating batch effects in large-scale omics studies.Genome biology · 2024Review
- Plasma proteomics in children with new-onset type 1 diabetes identifies new potential biomarkers of partial remission.Scientific reports · 2024Article
- Promises and Challenges of populational Proteomics in Health and Disease.Molecular & cellular proteomics : MCP · 2024Article
- Blood meals from 'dead-end' vertebrate hosts enhance transmission potential of malaria-infected mosquitoes.One health (Amsterdam, Netherlands) · 2023Article
- How can we use proteomics to learn more about platelets?Platelets · 2023Article
- Review
- Challenges and Opportunities in Clinical Diagnostic Routine of Envenomation Using Blood Plasma Proteomics.Toxins · 2023Review
- Discovery and replication of blood-based proteomic signature of PTSD in 9/11 responders.Translational psychiatry · 2023Article
- Effects of ex vivo blood anticoagulation and preanalytical processing time on the proteome content of platelets.Journal of thrombosis and haemostasis : JTH · 2022Article
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundPlasma is a potentially rich source of protein biomarkers for disease progression and drug response. Large multi-center studies are often carried out to increase the number of samples analyzed in a given study. This may increase the chances of variation in blood processing and handling, leading to altered proteomic results. This study evaluates the impact of blood processing variation on LC-MS/MS proteomic analysis of plasma.
methodsInitially two batches of patient plasma samples (120 and 204 samples, respectively) were analyzed using LC-MS/MS shotgun proteomics. Follow-up experiments were designed and carried out on healthy donor blood in order to examine the effects of different centrifugation conditions, length of delay until first centrifugation, storage temperature and anticoagulant type on results from shotgun proteomics.
resultsVariable levels of intracellular proteins were observed in subsets of patient plasma samples from the initial batches analyzed. This observation correlated strongly with the site of collection, implicating variability in blood processing procedures. Results from the healthy donor blood analysis did not demonstrate a significant impact of centrifugation conditions to plasma proteome variation. The time delay until first centrifugation had a major impact on variability, while storage temperature and anticoagulant showed less pronounced but still significant effects. The intracellular proteins associated with study site effect in patient plasma samples were significantly altered by delayed processing also.
conclusionsVariable blood processing procedures contribute significantly to plasma proteomic variation and may give rise to increased intracellular proteins in plasma. Accounting for these effects can be important both at study design and data analysis stages. This understanding will be valuable to incorporate in the planning of protein-based biomarker discovery efforts in the future.
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