Polycystic ovary syndrome (PCOS) is a common endocrine disorder characterized by female infertility, menstrual irregularities, and hormonal imbalance, leading to impaired reproductive health. Hyperandrogenemia is considered a central endocrine feature and a key contributor to PCOS pathophysiology.
A dehydroepiandrosterone (DHEA)-induced mouse model was established to investigate transcriptomic alterations in granulosa cells (GCs) and their association with endocrine and inflammatory changes in PCOS. Model validation was performed using histological analysis (H&E staining), estrous cycle analysis, Western blotting of estrogen receptors (ERα and ERβ), and serum hormone profiling by ELISA. The PCOS model exhibited typical phenotypes, including polycystic ovarian morphology, estrous cycle arrest, and elevated testosterone (T), luteinizing hormone (LH), and LH/FSH ratios. Increased ERα expression was observed in ovarian GCs. RNA sequencing (RNA-seq) identified 161 differentially expressed genes, enriched in TNF signaling, NF-κB signaling, and steroid hormone biosynthesis pathways. In vitro, T-treated primary GCs showed increased ERα/ERβ ratio and enhanced pro-inflammatory signaling, with suppression of anti-inflammatory markers, consistent with in vivo findings. Overall, these findings support an association between endocrine alterations and inflammatory responses in ovarian GCs during PCOS.
In conclusion, inflammatory factor expression in GCs was significantly associated with reproductive hormone dysregulation in PCOS, suggesting a potential hormone–inflammation interaction axis in the pathophysiology of PCOS.
Shaoyu Hao, Jing Pan, Qi Zhao et al.· Journal of Ovarian Research· 0 citations
Accumulation of steroidal glycoalkaloids (SGAs) drives postharvest potato tuber greening and poses food-safety risks, yet the temporal dynamics and regulatory basis of light induction remain unclear.
We compared a storage-tolerant cultivar (XS) and a storage-sensitive cultivar (JZ). Under continuous light for 0, 2, 10, and 30 d, we quantified α-solanine and α-chaconine and performed integrated metabolomic and transcriptomic analyses in JZ. SGAs increased more sharply in JZ than in XS. Metabolomics detected 616 differentially accumulated metabolites: steroid-related metabolites (diosgenin) rose rapidly at 2 d, whereas phenolic acids, flavonoids, and SGAs accumulated at 30 d. Transcriptome profiling indicated early activation of sterol/cholesterol biosynthesis and late enhancement of phenylpropanoid and phytosterol pathways. WGCNA identified candidate genes including CYP72A54, MYB185, HY5, and PIF3.
We propose an “early steroid remodeling–late co-amplification of phenolics and SGAs” model, providing evidence for postharvest light-exclusion management and low-SGA breeding, and supporting risk assessment during storage and transport.
Yuru Lv, Yongyu Fang, Qi Zhao et al.· Chemical and Biological Tech...· 0 citations