Investigation of serum proteome alterations in human endometriosis

Dutta, Mainak ; Subramani, Elavarasan ; Taunk, Khushman ; Gajbhiye, Akshada ; Seal, Shubhendu ; Pendharkar, Namita ; Dhali, Snigdha ; Ray, Chaitali Datta ; Lodh, Indrani ; Chakravarty, Baidyanath ; Dasgupta, Swagata ; Rapole, Srikanth ; Chaudhury, Koel (2015) Investigation of serum proteome alterations in human endometriosis Journal of Proteomics, 114 . pp. 182-196. ISSN 1874-3919

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Official URL: https://www.sciencedirect.com/science/article/pii/...

Related URL: http://dx.doi.org/10.1016/j.jprot.2014.10.021

Abstract

Endometriosis is a common benign gynecological disease, characterized by proliferation of functional endometrial glands and stroma outside the uterine cavity. The present study involves investigation of alterations in the serum proteome of endometriosis patients compared to healthy controls using 2DE and 2D-DIGE combined with MALDI TOF/TOF-MS. Comparison of serum proteome of endometriosis patients and healthy subjects revealed 25 significant differentially expressed proteins. Gene ontology and network analysis, performed using PANTHER, DAVID, WebGestalt and STRING, revealed that the differentially expressed proteins are majorly involved in response to stimulus, immune system, metabolic, localization and cellular processes. For serum diagnostic marker identification, several robust statistical screening procedures were applied to identify the set of the most significant proteins responsible for successful diagnosis of different endometriosis stages. Partial least squares (PLS) based marker selection tool and orthogonal partial least squares-discriminant analysis (OPLS-DA) were used to identify the most significant proteins for disease prediction. Western blotting validation in a separate cohort of patients revealed that haptoglobin (HP), Ig kappa chain C region (IGKC), alpha-1B-glycoprotein (A1BG) can be considered effective serum protein markers for the diagnosis of Stage II, III and IV endometriosis. For diagnosis of Stage I, only IGKC and HP seemed promising.

Item Type:Article
Source:Copyright of this article belongs to Elsevier Science.
Keywords:Endometriosis; 2D-DIGE; Serum; Pathogenesis; Protein Markers
ID Code:113820
Deposited On:10 May 2018 11:26
Last Modified:10 May 2018 11:26

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