Global Transcriptional Profiling of Granulosa Cells from Polycystic Ovary Syndrome Patients: Comparative Analyses of Patients with or without History of Ovarian Hyperstimulation Syndrome Reveals Distinct Biomarkers and Pathways.
Maha H DaghestaniHuda A AlqahtaniAlBandary AlBakheetMashael Al DeeryKhalid A AwartaniMazin H DaghestaniNamik KayaArjumand WarsySerdar CoskunDilek ColakPublished in: Journal of clinical medicine (2022)
Ovarian hyperstimulation syndrome (OHSS) is often a complication of polycystic ovarian syndrome (PCOS), the most frequent disorder of the endocrine system, which affects women in their reproductive years. The etiology of OHSS is multifactorial, though the factors involved are not apparent. In an attempt to unveil the molecular basis of OHSS, we conducted transcriptome analysis of total RNA extracted from granulosa cells from PCOS patients with a history of OHSS ( n = 6) and compared them to those with no history of OHSS ( n = 18). We identified 59 significantly dysregulated genes (48 down-regulated, 11 up-regulated) in the PCOS with OHSS group compared to the PCOS without OHSS group ( p -value < 0.01, fold change >1.5). Functional, pathway and network analyses revealed genes involved in cellular development, inflammatory and immune response, cellular growth and proliferation (including DCN , VIM , LIFR , GRN , IL33 , INSR , KLF2 , FOXO1 , VEGF , RDX , PLCL1 , PAPPA , and ZFP36 ), and significant alterations in the PPAR, IL6, IL10, JAK/STAT and NF-κB signaling pathways. Array findings were validated using quantitative RT-PCR. To the best of our knowledge, this is the largest cohort of Saudi PCOS cases (with or without OHSS) to date that was analyzed using a transcriptomic approach. Our data demonstrate alterations in various gene networks and pathways that may be involved in the pathophysiology of OHSS. Further studies are warranted to confirm the findings.
Keyphrases
- polycystic ovary syndrome
- insulin resistance
- signaling pathway
- transcription factor
- immune response
- single cell
- genome wide
- end stage renal disease
- healthcare
- chronic kidney disease
- pi k akt
- case report
- oxidative stress
- type diabetes
- high throughput
- newly diagnosed
- endothelial cells
- electronic health record
- dna methylation
- vascular endothelial growth factor
- mass spectrometry
- prognostic factors
- saudi arabia
- copy number
- magnetic resonance
- lps induced
- cell proliferation
- induced apoptosis
- nuclear factor
- genome wide analysis
- endoplasmic reticulum stress