Bioinformatics and system biology approaches to identify molecular pathogenesis of polycystic ovarian syndrome, type 2 diabetes, obesity, and cardiovascular disease that are linked to the progression of female infertility
oleh: Md Arju Hossain, Md Al Amin, Md Imran Hasan, Md Sohel, Md Akash Ahammed, S.M. Hasan Mahmud, Md Rezanur Rahman, Md Habibur Rahman
| Format: | Article |
|---|---|
| Diterbitkan: | Elsevier 2022-01-01 |
Deskripsi
Female infertility may be caused by several medical conditions and environmental factors that induce fallopian tube damage or hormonal difficulties. Several metabolic comorbidities like polycystic ovarian syndrome (PCOS), type 2 diabetes (T2D), obesity, and cardiovascular disease (CVD) have been associated with female infertility (FI). However, the causal connection and molecular features are still unknown. Here, we have used differentially expressed genes (DEGs) to uncover various biological targets for a better understanding of FI and metabolic comorbidities development. We have also identified 1201 DEGs in FI patients relative to healthy controls sharing a total of 112, 126, 99, and 176 DEGs with PCOS, T2D, obesity, and CVD. Besides, most of the shared pathways including calcium ion transport, regulation of acute inflammatory response, adipocytokine signaling, and MAPK family signaling cascades were identified from GO and KEGG analysis. Furthermore, we have discovered the two most significant hub proteins (C3 and AGTR1), significant transcription factors (USF2, CREB1, FOXL1, and E2F1), and potential drugs (oxacillin, cefotaxime, and valproic acid) which were directly related to FI and other metabolic diseases. Our computational analysis findings revealed the common molecular pathogenesis of FI and metabolic comorbidities which may direct new avenues of therapy and warrant future experimental validation of the key targets.