title: Serum proteomics in biomedical research: a systematic review.
abstract: Proteins that are important indicators of physiological or pathological states may contribute to the early diagnosis of disease, which may provide a basis for identifying the underlying mechanism of disease development. Serum, contains an abundance of proteins, offers an easy and inexpensive approach for disease detection and possesses a high potential to revolutionize the diagnostics. These differentially expressed proteins in serum have become an important role to monitoring the state for disease. Availability of emerging proteomic techniques gives optimism that serum can eventually be placed as a biomedium for clinical diagnostics. Advancements have benefited biomarker research to the point where serum is now recognized as an excellent diagnostic medium for the detection of disease. Comprehensive proteome of human serum fluid with high accuracy and availability has the potential to open new doors for disease biomarker discovery and for disease diagnostics, providing insights useful for future study. Thus, this review presents an overview of the value of serum as a credible diagnostic tool, and we aim to summarize the proteomic technologies currently used for global analysis of serum proteins and to elaborate on the application of serum proteomics to the discovery of disease biomarkers, and discuss some of the critical challenges and perspectives for this emerging field.
authors.affiliation: National TCM Key Lab of Serum Pharmacochemistry, Key Lab of Chinmedomics, and Heilongjiang University of Chinese Medicine, Key Pharmacometabolomics Platform of Chinese Medicines, Heping Road 24, Harbin 150040, China.
authors.forename: Ai-hua
authors.initials: AH
authors.lastname: Zhang
authors.forename: Hui
authors.initials: H
authors.lastname: Sun
authors.forename: Guang-li
authors.initials: GL
authors.lastname: Yan
authors.forename: Ying
authors.initials: Y
authors.lastname: Han
authors.forename: Xi-jun
authors.initials: XJ
authors.lastname: Wang
mesh_terms: D014408:Biomarkers, Tumor / Q000097:blood*; D001798:Blood Proteins / Q000032:analysis*; D018450:Disease Progression; D042241:Early Diagnosis; D006801:Humans; D009369:Neoplasms / Q000175:diagnosis*; D010300:Parkinson Disease / Q000097:blood / Q000175:diagnosis; D011237:Predictive Value of Tests; D011379:Prognosis; D040901:Proteomics / Q000379:methods*; D012680:Sensitivity and Specificity
chemical_list: D014408:Biomarkers, Tumor; D001798:Blood Proteins