Extracellular protein kinase A and G are potential biomarkers of some inflammation-associated disorders

Author:

Wu Yan1ORCID,Ye Jun12,Zhao Chunhui3,Pang Ji1,Li Yueying1,Lin Xinyue1

Affiliation:

1. Department of Physiology, School of Medicine, Jiangsu University, Zhenjiang, China

2. The Center of Laboratory, Taizhou People’s Hospital, Taizhou, China

3. The Center of Laboratory, Zhenjiang Mental Health Center, Zhenjiang, China

Abstract

Introduction Protein kinase A (PKA) and protein kinase G (PKG) are the main downstream effectors of second messengers cAMP and cGMP, which play important roles in physiological and pathological processes. Recently, there are two findings: one is PKA catalytic subunits α (PKACα) and PKG II can be secreted, the other is that the two secretory protein kinases are associated with the progression of tumors. Previous data also demonstrate that the two kinases, as signal cascades, involved in inflammation-associated disorders. However, it remains unclear whether the secreted PKACα or PKG II could serve as diagnostic biomarkers for inflammation-associated disorders. Methods The serum from suffered coronary disease, diabetes, rheumatoid arthritis, and schizophrenia were collected. The serum PKACα and PKG II were detected by ELISA. All the patients were consent informed. Results Our results showed that the serum PKACα and PKG II had obvious changes in coronary disease, rheumatoid arthritis, schizophrenia patients. However, the trends was opposite, especially in rheumatoid arthritis. Conclusions Serum PKACα and PKG II could serve as potentially diagnostic biomarkers for some inflammation-associated disorders, such as coronary disease, rheumatoid arthritis, and schizophrenia.

Funder

Health Commission of Jiangsu Province

Project Funding Plan of Jiangsu Province

Publisher

SAGE Publications

Subject

Immunology,Immunology and Allergy,General Medicine

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Immune, Inflammatory and Oxidative Stress-Related Biomarkers;Seeking Molecular Biomarkers for Schizophrenia Using ROC Analysis;2024

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