Plasma Proteome Profiling to Assess Human Health and Disease
Open accessAbstract
Proteins in the circulatory system mirror an individual's physiology. In daily clinical practice, protein levels are generally determined using single-protein immunoassays. High-throughput, quantitative analysis using mass-spectrometry-based proteomics of blood, plasma, and serum would be advantageous but is challenging because of the high dynamic range of protein abundances. Here, we introduce a rapid and robust "plasma proteome profiling" pipeline. This single-run shotgun proteomic workflow does not require protein depletion and enables quantitative analysis of hundreds of plasma proteomes from 1 μl single finger pricks with 20 min gradients. The apolipoprotein family, inflammatory markers such as C-reactive protein, gender-related proteins, and >40 FDA-approved biomarkers are reproducibly quantified (CV <20% with label-free quantification). Furthermore, we functionally interpret a 1,000-protein, quantitative plasma proteome obtained by simple peptide pre-fractionation. Plasma proteome profiling delivers an informative portrait of a person's health state, and we envision its large-scale use in biomedicine.
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Recent improvements in MS technology and chromatography have renewed interest in discovery plasma proteomics in AD.
“recent improvements in MS technology and chromatography have renewed interest in discovery plasma proteomics in AD [180].”
From Systems-based proteomics to resolve the biology of Alzheimer’s disease beyond amyloid and tau (2021) · cites this paper as [180]
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Urinary proteome profiling for stratifying patients with familial Parkinson’s disease
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Self-citationSystemic and ocular fluid compounds as potential biomarkers in age-related macular degeneration
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High‐resolution serum proteome trajectories in COVID‐19 reveal patient‐specific seroconversion
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Systems-based proteomics to resolve the biology of Alzheimer’s disease beyond amyloid and tau
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The Case for Proteomics and Phospho‐Proteomics in Personalized Cancer Medicine
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Self-citationProteomic profiling of human plasma for cancer biomarker discovery
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Proteomic Analysis of Human Plasma during Intermittent Fasting
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Cancer diagnostics based on plasma protein biomarkers: hard times but great expectations
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Peptidomics: A Review of Clinical Applications and Methodologies
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On the origin of proteins in human drusen: The meet, greet and stick hypothesis
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Self-citationTowards comprehensive and quantitative proteomics for diagnosis and therapy of human disease
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A serum proteome signature to predict mortality in severe COVID-19 patients
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Ferroptosis inhibition by lysosome-dependent catabolism of extracellular protein
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Global variability analysis of mRNA and protein concentrations across and within human tissues
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Mechanisms Preserving Insulin Action during High Dietary Fat Intake
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Instrumentation at the leading edge of proteomics
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Self-citationA plasma protein classifier for predicting amyloid burden for preclinical Alzheimer’s disease
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Immobility-associated thromboprotection is conserved across mammalian species from bear to human
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Self-citationSPIN enables high throughput species identification of archaeological bone by proteomics
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Recent advances in isobaric labeling and applications in quantitative proteomics
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Comparative evaluation of label-free quantification strategies
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A Primer on Concepts and Applications of Proteomics in Neuroscience
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Self-citationEfficient Quantitative Comparisons of Plasma Proteomes Using Label-Free Analysis with MaxQuant
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Plasma proteomic analysis reveals altered protein abundances in cardiovascular disease
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Transparent Exploration of Machine Learning for Biomarker Discovery from Proteomics and Omics Data
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Plasma proteome variation and its genetic determinants in children and adolescents
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- Authors
- Geyer, P. E., Kulak, N. A., Pichler, G., Holdt, L. M., Teupser, D., & Mann, M.
- Affiliations
- University of Copenhagen (DK)
- Max Planck Institute of Biochemistry (DE)
- Institut für Laboratoriumsmedizin (DE)
- Corresponding author
- Mann, Matthias
- Venue
- Cell Systems
- Publisher
- Elsevier BV
- Published
- 2016-03
- Volume
- 2
- Issue
- 3
- Pages
- 185-195
- ISSN
- 2405-4712 (ISSN-L)
- OpenAlex
- W2302629258
- Cited by
- 734
- References
- 45
- Citations by year
- 2026: 73 · 2025: 65 · 2024: 94 · 2023: 77 · 2022: 69 · 2021: 94 · 2020: 78 · 2019: 72 · 2018: 63 · 2017: 39 · 2016: 10
- FWCI
- 30.56
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Locations
- Cell Systems (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Research at the University of Copenhagen (University of Copenhagen) (publishedVersion, cc-by)
- Elektronische Hochschulschriften der LMU München (Ludwig-Maximilians-Universität München) (acceptedVersion)
- Max Planck Digital Library (submittedVersion, other-oa)
- MPG.PuRe (Max Planck Society) (submittedVersion, other-oa)
- Funders
- Max-Planck-Gesellschaft
- Novo Nordisk
- Novo Nordisk Fonden (NNF15SA0018240)
- Topics
- Physical Sciences › Chemistry › Spectroscopy › Advanced Proteomics Techniques and Applications
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Advanced Biosensing Techniques and Applications
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Metabolomics and Mass Spectrometry Studies
- Keywords
- shotgun proteomics, label-free quantification, apolipoproteins, C-reactive protein, inflammatory markers, human health assessment
- MeSH terms
- Blood Proteins, Chromatography, Liquid, Humans, Mass Spectrometry, Biomarkers, Proteome, Gene Expression Profiling, Proteomics, Tandem Mass Spectrometry
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