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Deng W, Zhong Z, Tong Y, Liu J, Wang X, Xu L, Li Y, Chen X, Wei Q, Rao J. 4D DIA-PRM proteomic study identifying modulated pathways and biomarkers associated with pelvic organ prolapse. J Chromatogr B Analyt Technol Biomed Life Sci 2023; 1230:123916. [PMID: 37922782 DOI: 10.1016/j.jchromb.2023.123916] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2023] [Revised: 10/19/2023] [Accepted: 10/27/2023] [Indexed: 11/07/2023]
Abstract
Pelvic organ prolapse (POP) is a highly disabling condition that negatively affects the quality of life of millions of women worldwide. However, the underlying mechanisms associated with the development and progression of the disease remain poorly understood. Here, an untargeted four-dimensional data-independent acquisition (4D DIA)-based proteomics approach was applied to vaginal wall tissue samples from POP (n = 19) and control (n = 8) patients to identify potential diagnostic biomarker(s) for POP and examine the molecular mechanisms underlying the disease. Of the 5713 tissue proteins that were detected, 1957 proteins were significantly changed in POP patients. Further bioinformatics analysis revealed that multiple biological processes including protein digestion & absorption, retrograde endocannabinoid signaling, tyrosine metabolism, and nucleotide metabolism were significantly enriched and associated with the pathogenesis of POP. Interestingly, 16 of these differentially expressed proteins associated with four pathways were also identified by targeted parallel reaction monitoring (PRM) proteomics analysis on the same 27 tissue samples. Changes in 94 % (15/16) of these proteins were consistent with the 4D DIA data. Furthermore, most proteins displayed good diagnostic accuracy with high area under the curve (AUC) values (AUC>0.8). Specifically, five proteins including ELN, COL6A2, ENTPD1, AOC3, and COX7A2 distinguished between POP and control patients with very high accuracy (AUC ≥ 0.95) in both 4D DIA and PRM analyses, and may therefore be potential diagnostic biomarkers for POP. In summary, the present study not only provided several potential biomarker(s) for effective POP diagnosis, but extended our knowledge of the key regulatory pathways associated with the disease.
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Affiliation(s)
- Wei Deng
- Affiliated Jinhua Hospital, Zhejiang University School of Medicine, Jinhua 321000, Zhejiang Province, China; Jiangxi Provincial Maternal and Child Health Hospital, Nanchang 330006, Jiangxi Province, China
| | - Zhifeng Zhong
- Affiliated Jinhua Hospital, Zhejiang University School of Medicine, Jinhua 321000, Zhejiang Province, China
| | - Yuehong Tong
- Affiliated Jinhua Hospital, Zhejiang University School of Medicine, Jinhua 321000, Zhejiang Province, China
| | - Jun Liu
- Jiangxi Provincial Maternal and Child Health Hospital, Nanchang 330006, Jiangxi Province, China
| | - Xiaofen Wang
- Affiliated Jinhua Hospital, Zhejiang University School of Medicine, Jinhua 321000, Zhejiang Province, China
| | - Lili Xu
- Affiliated Jinhua Hospital, Zhejiang University School of Medicine, Jinhua 321000, Zhejiang Province, China
| | - Yufeng Li
- Department of Joint Surgery, People's Hospital of Ganxian District, Ganzhou, Jiangxi, 341100, China
| | - Xiaodan Chen
- Jiangxi Cancer Hospital, The Second Affiliated Hospital of Nanchang Medical College, Jiangxi Clinical Research Center for Cancer, Nanchang 330029, Jiangxi Province, China
| | - Qingfeng Wei
- Jiangxi Cancer Hospital, The Second Affiliated Hospital of Nanchang Medical College, Jiangxi Clinical Research Center for Cancer, Nanchang 330029, Jiangxi Province, China.
| | - Jun Rao
- Jiangxi Cancer Hospital, The Second Affiliated Hospital of Nanchang Medical College, Jiangxi Clinical Research Center for Cancer, Nanchang 330029, Jiangxi Province, China.
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