4.1 Article

Quantitative proteomics by iTRAQ-PRM based reveals the new characterization for gout

Journal

PROTEOME SCIENCE
Volume 19, Issue 1, Pages -

Publisher

BMC
DOI: 10.1186/s12953-021-00180-0

Keywords

Gout; iTRAQ; PRM; Histone H2A; Histone H2B; THBS1

Funding

  1. National Natural Science Foundation of China [81970756, 81971822]

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Gout is a type of immunoreactive arthritis based on hyperuricemia, and plasma protein profiling can distinguish different groups of gout patients. Certain proteins such as histones and coagulation cascades may play important roles in the process of gout.
Background Gout is a common and complex form of immunoreactive arthritis based on hyperuricemia, while the symptoms would turn to remission or even got worse. So, it is hard to early identify whether an asymptomatic hyperuricemia (AHU) patient will be susceptible to get acute gout attack and it is also hard to predict the process of gout remission to flare. Here, we report that the plasma proteins profile can distinguish among acute gout (AG), remission of gout (RG), AHU patients, and healthy controls. Methods We established an isobaric tags for relative and absolute quantification (iTRAQ) and parallel reaction monitoring (PRM) based method to measure the plasma proteins for AG group (n = 8), RG group (n = 7), AHU group (n = 7) and healthy controls (n = 8). Results Eleven differentially expressed proteins such as Histone H2A, Histone H2B, Thrombospondin-1 (THBS1), Myeloperoxidase (MPO), Complement C2, Complement component C8 beta chain (C8B), Alpha-1-acid glycoprotein 1 (ORM1), Inter-alpha-trypsin inhibitor heavy chain H4 (ITIH4), Carbonic anhydrase 1 (CA1), Serum albumin (ALB) and Multimerin-1 (MMRN1) were identified. Histone H2A, Histone H2B and THBS1 might be the strongest influential regulator to maintain the balance and stability of the gout process. The complement and coagulation cascades is one of the main functional pathways in the mechanism of gout process. Conclusions Histone H2A, Histone H2B and THBS1 are potential candidate genes for novel biomarkers in discriminating gout attack from AHU or RG, providing new theoretical insights for the prognosis, treatment, and management of gout process.

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