Application and discoveries of metabolomics and proteomics in the study of female infertility
IntroductionFemale infertility is defined as the absence of clinical pregnancy after 12 months of regular unprotected sexual intercourse.MethodsThis study employed metabolomics and proteomics approaches to investigate the relationship between metabolites and proteins and female infertility. The stud...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2024-01-01
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| Series: | Frontiers in Endocrinology |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fendo.2023.1315099/full |
| _version_ | 1827385284773281792 |
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| author | Junhua Shi Xingjie Wu Haiou Qi Xin Xu Shihao Hong |
| author_facet | Junhua Shi Xingjie Wu Haiou Qi Xin Xu Shihao Hong |
| author_sort | Junhua Shi |
| collection | DOAJ |
| description | IntroductionFemale infertility is defined as the absence of clinical pregnancy after 12 months of regular unprotected sexual intercourse.MethodsThis study employed metabolomics and proteomics approaches to investigate the relationship between metabolites and proteins and female infertility. The study used metabolomics and proteomics data from the UK Biobank to identify metabolites and proteins linked to infertility.ResultsThe results showed that GRAM domain-containing protein 1C and metabolites fibrinogen cleavage peptides ADpSGEGDFXAEGGGVR and 3-Hydroxybutyrate had a positive correlation with infertility, whereas proteins such as Interleukin-3 receptor subunit alpha, Thrombospondin type-1 domain-containing protein 1, Intestinal-type alkaline phosphatase, and platelet and endothelial cell adhesion molecule 1 exhibited a negative correlation. These findings provide new clues and targets for infertility diagnosis and treatment. However, further research is required to validate these results and gain a deeper understanding of the specific roles of these metabolites and proteins in infertility pathogenesis.DiscussionIn conclusion, metabolomics and proteomics techniques have significant application value in the study of infertility, allowing for a better understanding of the biological mechanisms underlying infertility and providing new insights and strategies for its diagnosis and treatment. These research findings provide a crucial biological mechanistic basis for early infertility screening, prevention, and treatment. |
| first_indexed | 2024-03-08T15:25:13Z |
| format | Article |
| id | doaj.art-179db0c6644e40afa5aca6eddef0d5c3 |
| institution | Directory Open Access Journal |
| issn | 1664-2392 |
| language | English |
| last_indexed | 2024-03-08T15:25:13Z |
| publishDate | 2024-01-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Endocrinology |
| spelling | doaj.art-179db0c6644e40afa5aca6eddef0d5c32024-01-10T10:13:40ZengFrontiers Media S.A.Frontiers in Endocrinology1664-23922024-01-011410.3389/fendo.2023.13150991315099Application and discoveries of metabolomics and proteomics in the study of female infertilityJunhua Shi0Xingjie Wu1Haiou Qi2Xin Xu3Shihao Hong4Nursing Department, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, ChinaDepartment of Obstetrics, Hangzhou Medical College Affiliated Lin’an People’s Hospital, The First People’s Hospital of Hangzhou Lin’an District, Hangzhou, Zhejiang, ChinaNursing Department, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, ChinaNursing Department, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, ChinaDepartment of Obstetrics and Gynecology, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University; Key Laboratory of Reproductive Dysfunction Management of Zhejiang Province, Hangzhou, ChinaIntroductionFemale infertility is defined as the absence of clinical pregnancy after 12 months of regular unprotected sexual intercourse.MethodsThis study employed metabolomics and proteomics approaches to investigate the relationship between metabolites and proteins and female infertility. The study used metabolomics and proteomics data from the UK Biobank to identify metabolites and proteins linked to infertility.ResultsThe results showed that GRAM domain-containing protein 1C and metabolites fibrinogen cleavage peptides ADpSGEGDFXAEGGGVR and 3-Hydroxybutyrate had a positive correlation with infertility, whereas proteins such as Interleukin-3 receptor subunit alpha, Thrombospondin type-1 domain-containing protein 1, Intestinal-type alkaline phosphatase, and platelet and endothelial cell adhesion molecule 1 exhibited a negative correlation. These findings provide new clues and targets for infertility diagnosis and treatment. However, further research is required to validate these results and gain a deeper understanding of the specific roles of these metabolites and proteins in infertility pathogenesis.DiscussionIn conclusion, metabolomics and proteomics techniques have significant application value in the study of infertility, allowing for a better understanding of the biological mechanisms underlying infertility and providing new insights and strategies for its diagnosis and treatment. These research findings provide a crucial biological mechanistic basis for early infertility screening, prevention, and treatment.https://www.frontiersin.org/articles/10.3389/fendo.2023.1315099/fullfemale infertilityMendelian randomization (MR)metabolomicsproteomicsbioinformatics |
| spellingShingle | Junhua Shi Xingjie Wu Haiou Qi Xin Xu Shihao Hong Application and discoveries of metabolomics and proteomics in the study of female infertility Frontiers in Endocrinology female infertility Mendelian randomization (MR) metabolomics proteomics bioinformatics |
| title | Application and discoveries of metabolomics and proteomics in the study of female infertility |
| title_full | Application and discoveries of metabolomics and proteomics in the study of female infertility |
| title_fullStr | Application and discoveries of metabolomics and proteomics in the study of female infertility |
| title_full_unstemmed | Application and discoveries of metabolomics and proteomics in the study of female infertility |
| title_short | Application and discoveries of metabolomics and proteomics in the study of female infertility |
| title_sort | application and discoveries of metabolomics and proteomics in the study of female infertility |
| topic | female infertility Mendelian randomization (MR) metabolomics proteomics bioinformatics |
| url | https://www.frontiersin.org/articles/10.3389/fendo.2023.1315099/full |
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