High-free androgen index is associated with increased risk of non-alcoholic fatty liver disease in women with polycystic ovary syndrome, independent of obesity and insulin resistance

2017 ◽  
Vol 41 (9) ◽  
pp. 1341-1347 ◽  
Author(s):  
J Cai ◽  
C H Wu ◽  
Y Zhang ◽  
Y Y Wang ◽  
W D Xu ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Liver Disease ◽  
Polycystic Ovary Syndrome ◽  
Fatty Liver Disease ◽  
Polycystic Ovary ◽  
Ovary Syndrome ◽  
Alcoholic Fatty Liver ◽  
Free Androgen Index ◽  
Increased Risk ◽  
Alcoholic Fatty Liver Disease

scholarly journals Non‐alcoholic fatty liver disease in premenopausal women with polycystic ovary syndrome: A systematic review and meta‐analysis

JGH Open ◽  
2021 ◽  
Vol 5 (4) ◽  
pp. 434-445
Author(s):  
Mohamed Shengir ◽  
Tianyan Chen ◽  
Elena Guadagno ◽  
Agnihotram V Ramanakumar ◽  
Peter Ghali ◽  
...  
Keyword(s):  
Systematic Review ◽  
Liver Disease ◽  
Polycystic Ovary Syndrome ◽  
Fatty Liver Disease ◽  
Polycystic Ovary ◽  
Meta Analysis ◽  
Premenopausal Women ◽  
Ovary Syndrome ◽  
Alcoholic Fatty Liver ◽  
Alcoholic Fatty Liver Disease

scholarly journals Identification the key genes between polycystic ovary syndrome and Non-Alcoholic Fatty Liver Disease

2021 ◽  
Author(s):  
Pu Yifu
Keyword(s):  
Liver Disease ◽  
Polycystic Ovary Syndrome ◽  
Fatty Liver ◽  
Fatty Liver Disease ◽  
Polycystic Ovary ◽  
Area Under The Curve ◽  
Ovary Syndrome ◽  
Alcoholic Fatty Liver ◽  
Key Genes ◽  
Alcoholic Fatty Liver Disease

Abstract Purpose Many studies show correlation between polycystic ovary syndrome(PCOS) and non-alcoholic fatty liver disease(NAFLD),but the underlying pathogenic genes are not clear. This study by using the bioinformatics method aims to search the key genes involved in these 2 diseases. Methods The Gene Expression Omnibus (GEO) datasets coming from the GEO database GSE63067 -NAFLD patients and healthy controls, and GSE34526 -PCOS patients and normal controls, are downloaded. Differentially expressed genes (DEGs) of 2 diseases datasets and the common genes are obtained. After GO and KEGG enrichment analyses of common genes are performed. To find the key genes between NAFLD and PCOS, a protein–protein interaction (PPI) network is carried out. In addition, the diagnostic value of key genes in PCOS is analyzed. Results According to NAFLD and PCOS downloaded datasets,34 common genes,21 key genes,15 GO terms and 4 KEGG pathways are obtained. Further,based on the top 6 key genes,the corresponding area under the curve (AUC) by constructing ROC curves in the PCOS is 0.909 (95% CI, 0.775–1.000). Conclusions The study identify some key genes in the occurrence and progression between NAFLD and PCOS. In the future,to verify our results,it need experimental and clinical research.

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