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

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 polyc...

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Autores principales: Si, Chenchen, Wang, Nan, Wang, Mingjie, Liu, Yue, Niu, Zhihong, Ding, Zhide
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8135161/
https://www.ncbi.nlm.nih.gov/pubmed/34016141
http://dx.doi.org/10.1186/s12958-021-00760-x
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author Si, Chenchen
Wang, Nan
Wang, Mingjie
Liu, Yue
Niu, Zhihong
Ding, Zhide
author_facet Si, Chenchen
Wang, Nan
Wang, Mingjie
Liu, Yue
Niu, Zhihong
Ding, Zhide
author_sort Si, Chenchen
collection PubMed
description 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 within the mitochondrial electron transport chain. The levels of free fatty acids in both the serum and follicular fluid of obese subjects were significantly higher than those in matched normal-weight subjects. CONCLUSIONS: In GCs obtained from obese subjects, their mitochondria were damaged and the endoplasmic reticulum stress response was accompanied by dysregulated hormonal synthesis whereas none of these changes occurred in normal-weight subjects. These alterations may be related to the high FFA and TG levels detected in human follicular fluid.
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spelling pubmed-81351612021-05-20 TMT-based proteomic and bioinformatic analyses of human granulosa cells from obese and normal-weight female subjects Si, Chenchen Wang, Nan Wang, Mingjie Liu, Yue Niu, Zhihong Ding, Zhide Reprod Biol Endocrinol Research 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 within the mitochondrial electron transport chain. The levels of free fatty acids in both the serum and follicular fluid of obese subjects were significantly higher than those in matched normal-weight subjects. CONCLUSIONS: In GCs obtained from obese subjects, their mitochondria were damaged and the endoplasmic reticulum stress response was accompanied by dysregulated hormonal synthesis whereas none of these changes occurred in normal-weight subjects. These alterations may be related to the high FFA and TG levels detected in human follicular fluid. BioMed Central 2021-05-20 /pmc/articles/PMC8135161/ /pubmed/34016141 http://dx.doi.org/10.1186/s12958-021-00760-x Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Si, Chenchen
Wang, Nan
Wang, Mingjie
Liu, Yue
Niu, Zhihong
Ding, Zhide
TMT-based proteomic and bioinformatic analyses of human granulosa cells from obese and normal-weight female subjects
title TMT-based proteomic and bioinformatic analyses of human granulosa cells from obese and normal-weight female subjects
title_full TMT-based proteomic and bioinformatic analyses of human granulosa cells from obese and normal-weight female subjects
title_fullStr TMT-based proteomic and bioinformatic analyses of human granulosa cells from obese and normal-weight female subjects
title_full_unstemmed TMT-based proteomic and bioinformatic analyses of human granulosa cells from obese and normal-weight female subjects
title_short TMT-based proteomic and bioinformatic analyses of human granulosa cells from obese and normal-weight female subjects
title_sort tmt-based proteomic and bioinformatic analyses of human granulosa cells from obese and normal-weight female subjects
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8135161/
https://www.ncbi.nlm.nih.gov/pubmed/34016141
http://dx.doi.org/10.1186/s12958-021-00760-x
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