TMT-based proteomic and bioinformatic analyses of human granulosa cells from obese and normal-weight female subjects

作者：Chenchen Si, Nan Wang, Mingjie Wang, Yue Liu, Zhihong Niu, Zhide Ding · 发表于：Reproductive Biology and Endocrinology · 年份：2021 · DOI：10.1186/s12958-021-00760-x · 被引用次数：28 · 研究领域：Ovarian function and disorders、Reproductive Biology and Fertility、Sperm and Testicular Function

BACKGROUND: Increasing evidence supports a relationship between obesity and either infertility or subfertility in women. Most previous omics studies were focused on determining if the serum and follicular fluid expression profiles of subjects afflicted with both obesity-related infertility and polycystic ovary syndrome (PCOS) are different than those in normal healthy controls. As granulosa cells (GCs) are essential for oocyte development and fertility, we determined here if the protein expression profiles in the GCs from obese subjects are different than those in their normal-weight counterpart. METHODS: GC samples were collected from obese female subjects (n = 14) and normal-weight female subjects (n = 12) who were infertile and underwent in vitro fertilization (IVF) treatment due to tubal pathology. A quantitative approach including tandem mass tag labeling and liquid chromatography tandem mass spectrometry (TMT) was employed to identify differentially expressed proteins. Gene Ontology (GO) and the Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses were then conducted to interrogate the functions and pathways of identified proteins. Clinical, hormonal, and biochemical parameters were also analyzed in both groups. RESULTS: A total of 228 differentially expressed proteins were noted, including 138 that were upregulated whereas 90 others were downregulated. Significant pathways and GO terms associated with protein expression changes were also identified, especially withi...