Blood tests could soon predict disease risk with 10,000+ protein markers
Researchers have catalogued public databases of blood proteins that could transform how doctors diagnose disease and monitor patient health. The work reveals both the promise and pitfalls of using blood proteomics at scale—offering a roadmap for turning protein signatures into practical clinical tools that could reduce healthcare costs and improve personalized treatment decisions.
Originaltitel: Blood proteomics: insights from public data
The circulating blood proteome comprises soluble and cellular components that reflect physiological and pathological states across tissues. Advances in mass spectrometry and affinity-based proteomics have improved sensitivity and throughput, enabling the generation of public blood proteomics resources. However, comprehensive assessments of these datasets remain limited. This work reviews the cellular and molecular complexity of publicly available blood proteomics data, recent methodological developments, and the complementarity of diverse data sources across the abundance range, while outlining remaining challenges for translating blood proteomics into personalized medicine.