Endocrine, metabolic & immune disorders drug targets · 2026
VNN2 and IL1R2 Identified as Potential Molecular Signatures in Granulosa Cells and Blood of Patients with Polycystic Ovary Syndrome (PCOS).
СтатьяНазвание и аннотация: Перевод в очереди
Обработка статьи · этапы, ошибки и управление
Загрузка состояния…
Ошибки и ограничения
История · было → стало
Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.
Alali Zahraa
Аннотация
INTRODUCTION: PCOS is a common endocrine disorder in women of reproductive age, with granulosa cells playing a key role in its development. This study aims to identify shared differentially expressed genes (DEG) in granulosa cells and blood from PCOS patients, offering potential biomarkers and therapeutic targets.
METHODS: Transcriptomic data were obtained from the Gene Expression Omnibus (GEO) database: GSE95728 (granulosa cells; 7 PCOS, 7 controls) and two blood-based datasets, GSE85932 and GSE54248 (12 PCOS, 12 controls). In silico tools were employed to identify DEG, hub genes, and protein-protein interactions and to explore predicted drug targets.
RESULTS: DEG analysis revealed that Vanin-2 (VNN2) and Interleukin-1 receptor type 2 (IL1R2) were consistently dysregulated in PCOS patients. Dysferlin (DYSF), Carbonic Anhydrase 4 (CA4), and Solute Carrier Family 2 Member 14 (SLC2A14) were differentially expressed between the blood datasets, while Aquaporin 9 (AQP9), C-X-C Motif Chemokine Receptor 1 (CXCR1), and Annexin A3 (ANXA3) were dysregulated in GSE95728 (granulosa cells) and GSE54248 (blood). Functional enrichment highlighted immune and metabolic pathways. Protein-protein interaction analysis identified AQP9 as a hub gene. Drug prediction analysis suggested that IL1R2 could be targeted by anakinra, while VNN2 was predicted to interact with pantothenic acid.
DISCUSSION: The dysregulation of VNN2 and IL1R2 across tissue types suggests their involvement in immune-inflammatory processes in PCOS. The expression of AQP9 and other metabolism-related genes indicates possible immune-metabolic crosstalk, aligning with known PCOS pathophysiology.
CONCLUSION: VNN2 and IL1R2 show potential as biomarkers or therapeutic targets in PCOS. Further validation is needed to confirm their clinical significance and roles.
METHODS: Transcriptomic data were obtained from the Gene Expression Omnibus (GEO) database: GSE95728 (granulosa cells; 7 PCOS, 7 controls) and two blood-based datasets, GSE85932 and GSE54248 (12 PCOS, 12 controls). In silico tools were employed to identify DEG, hub genes, and protein-protein interactions and to explore predicted drug targets.
RESULTS: DEG analysis revealed that Vanin-2 (VNN2) and Interleukin-1 receptor type 2 (IL1R2) were consistently dysregulated in PCOS patients. Dysferlin (DYSF), Carbonic Anhydrase 4 (CA4), and Solute Carrier Family 2 Member 14 (SLC2A14) were differentially expressed between the blood datasets, while Aquaporin 9 (AQP9), C-X-C Motif Chemokine Receptor 1 (CXCR1), and Annexin A3 (ANXA3) were dysregulated in GSE95728 (granulosa cells) and GSE54248 (blood). Functional enrichment highlighted immune and metabolic pathways. Protein-protein interaction analysis identified AQP9 as a hub gene. Drug prediction analysis suggested that IL1R2 could be targeted by anakinra, while VNN2 was predicted to interact with pantothenic acid.
DISCUSSION: The dysregulation of VNN2 and IL1R2 across tissue types suggests their involvement in immune-inflammatory processes in PCOS. The expression of AQP9 and other metabolism-related genes indicates possible immune-metabolic crosstalk, aligning with known PCOS pathophysiology.
CONCLUSION: VNN2 and IL1R2 show potential as biomarkers or therapeutic targets in PCOS. Further validation is needed to confirm their clinical significance and roles.