Screening and verification of genes related to polycystic ovary syndrome
Objective To identify key genes involved in occurrence and development of polycystic ovary syndrome (PCOS). Methods By downloading the GSE85932 dataset from the GEO database, we used bioinformatical analysis to analyse differentially expressed genes (DEGs) from blood samples of eight women with PCOS...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
SAGE Publishing
2023-01-01
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| Series: | Journal of International Medical Research |
| Online Access: | https://doi.org/10.1177/03000605221147444 |
| _version_ | 1797955730284740608 |
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| author | Xuebing Li Chunxia Wang Heng Yang Dongxu Pei Yuchun Liu Sha Yan Yongwei Li |
| author_facet | Xuebing Li Chunxia Wang Heng Yang Dongxu Pei Yuchun Liu Sha Yan Yongwei Li |
| author_sort | Xuebing Li |
| collection | DOAJ |
| description | Objective To identify key genes involved in occurrence and development of polycystic ovary syndrome (PCOS). Methods By downloading the GSE85932 dataset from the GEO database, we used bioinformatical analysis to analyse differentially expressed genes (DEGs) from blood samples of eight women with PCOS and eight matched controls. Following bioinformatic analysis, we performed a cross-sectional study of serum samples taken from 79 women with PCOS and 36 healthy controls. Results From the 178 DEGs identified by bioinformatical analysis, 15 genes were identified as significant, and of these, ORM1 and ORM2 were selected for further verification as potential biomarkers for PCOS. Serum ORM1 and ORM2 levels were significantly increased in women with PCOS, and had a high diagnostic value. ORM1 and ORM2 were positively correlated with testosterone, cholesterol, and triglycerides. ORM1 levels were negatively correlated with high density lipoprotein (HDL) while ORM2 levels showed no significant correlation. Conclusions ORM may be an effective biomarker for the diagnosis of PCOS and its monitoring may be a useful therapeutic strategy. |
| first_indexed | 2024-04-10T23:38:44Z |
| format | Article |
| id | doaj.art-d7020d1cf9ee4447b79cf3db10a1a5ec |
| institution | Directory Open Access Journal |
| issn | 1473-2300 |
| language | English |
| last_indexed | 2024-04-10T23:38:44Z |
| publishDate | 2023-01-01 |
| publisher | SAGE Publishing |
| record_format | Article |
| series | Journal of International Medical Research |
| spelling | doaj.art-d7020d1cf9ee4447b79cf3db10a1a5ec2023-01-11T15:03:23ZengSAGE PublishingJournal of International Medical Research1473-23002023-01-015110.1177/03000605221147444Screening and verification of genes related to polycystic ovary syndromeXuebing LiChunxia WangHeng YangDongxu PeiYuchun LiuSha YanYongwei LiObjective To identify key genes involved in occurrence and development of polycystic ovary syndrome (PCOS). Methods By downloading the GSE85932 dataset from the GEO database, we used bioinformatical analysis to analyse differentially expressed genes (DEGs) from blood samples of eight women with PCOS and eight matched controls. Following bioinformatic analysis, we performed a cross-sectional study of serum samples taken from 79 women with PCOS and 36 healthy controls. Results From the 178 DEGs identified by bioinformatical analysis, 15 genes were identified as significant, and of these, ORM1 and ORM2 were selected for further verification as potential biomarkers for PCOS. Serum ORM1 and ORM2 levels were significantly increased in women with PCOS, and had a high diagnostic value. ORM1 and ORM2 were positively correlated with testosterone, cholesterol, and triglycerides. ORM1 levels were negatively correlated with high density lipoprotein (HDL) while ORM2 levels showed no significant correlation. Conclusions ORM may be an effective biomarker for the diagnosis of PCOS and its monitoring may be a useful therapeutic strategy.https://doi.org/10.1177/03000605221147444 |
| spellingShingle | Xuebing Li Chunxia Wang Heng Yang Dongxu Pei Yuchun Liu Sha Yan Yongwei Li Screening and verification of genes related to polycystic ovary syndrome Journal of International Medical Research |
| title | Screening and verification of genes related to polycystic ovary syndrome |
| title_full | Screening and verification of genes related to polycystic ovary syndrome |
| title_fullStr | Screening and verification of genes related to polycystic ovary syndrome |
| title_full_unstemmed | Screening and verification of genes related to polycystic ovary syndrome |
| title_short | Screening and verification of genes related to polycystic ovary syndrome |
| title_sort | screening and verification of genes related to polycystic ovary syndrome |
| url | https://doi.org/10.1177/03000605221147444 |
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