Role of Serum miRNAs in the Prediction of Ovarian Hyperstimulation Syndrome in Polycystic Ovarian Syndrome Patients
Background: Polycystic ovarian syndrome (PCOS) causes a significantly increased risk of ovarian hyperstimulation syndrome (OHSS). Here, we focused on the altered expression of serum miRNAs and their predictive value for OHSS in PCOS patients. Methods: We used the TaqMan low density array followed by...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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Cell Physiol Biochem Press GmbH & Co KG
2015-02-01
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| Series: | Cellular Physiology and Biochemistry |
| Subjects: | |
| Online Access: | http://www.karger.com/Article/FullText/373934 |
| _version_ | 1828446040239374336 |
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| author | Chun Zhao Xiaoguang Liu Zhonghua Shi Jing Zhang Junqiang Zhang Xuemei Jia Xiufeng Ling |
| author_facet | Chun Zhao Xiaoguang Liu Zhonghua Shi Jing Zhang Junqiang Zhang Xuemei Jia Xiufeng Ling |
| author_sort | Chun Zhao |
| collection | DOAJ |
| description | Background: Polycystic ovarian syndrome (PCOS) causes a significantly increased risk of ovarian hyperstimulation syndrome (OHSS). Here, we focused on the altered expression of serum miRNAs and their predictive value for OHSS in PCOS patients. Methods: We used the TaqMan low density array followed by individual quantitative reverse transcription-polymerase chain reaction to identify and validate the expression of serum miRNAs in PCOS patients likely to develop severe OHSS. Results: The miR-16 and miR-223 expression levels were significantly reduced in the patients who were likely to develop severe OHSS than in the control subjects who were likely to develop mild or no OHSS. The sensitivity and specificity of the basal LH, basal LH/FSH, and body mass index (BMI) as OHSS predictors were also evaluated. miR-16 was the most efficient for OHSS prediction as it yielded the highest AUC. Logistic binary regression analyses revealed a positive association of miR-223 and BMI. Conclusion: Serum miRNAs are differentially expressed in PCOS patients likely to suffer from severe OHSS. We identified and validated two serum miRNAs that have potential for use as novel noninvasive biomarkers to accurately predict OHSS before controlled ovarian hyperstimulation (COH) for PCOS patients. |
| first_indexed | 2024-12-10T22:06:22Z |
| format | Article |
| id | doaj.art-efd3b34b1f6640e1946c73fbdd8f0578 |
| institution | Directory Open Access Journal |
| issn | 1015-8987 1421-9778 |
| language | English |
| last_indexed | 2024-12-10T22:06:22Z |
| publishDate | 2015-02-01 |
| publisher | Cell Physiol Biochem Press GmbH & Co KG |
| record_format | Article |
| series | Cellular Physiology and Biochemistry |
| spelling | doaj.art-efd3b34b1f6640e1946c73fbdd8f05782022-12-22T01:31:44ZengCell Physiol Biochem Press GmbH & Co KGCellular Physiology and Biochemistry1015-89871421-97782015-02-013531086109410.1159/000373934373934Role of Serum miRNAs in the Prediction of Ovarian Hyperstimulation Syndrome in Polycystic Ovarian Syndrome PatientsChun ZhaoXiaoguang LiuZhonghua ShiJing ZhangJunqiang ZhangXuemei JiaXiufeng LingBackground: Polycystic ovarian syndrome (PCOS) causes a significantly increased risk of ovarian hyperstimulation syndrome (OHSS). Here, we focused on the altered expression of serum miRNAs and their predictive value for OHSS in PCOS patients. Methods: We used the TaqMan low density array followed by individual quantitative reverse transcription-polymerase chain reaction to identify and validate the expression of serum miRNAs in PCOS patients likely to develop severe OHSS. Results: The miR-16 and miR-223 expression levels were significantly reduced in the patients who were likely to develop severe OHSS than in the control subjects who were likely to develop mild or no OHSS. The sensitivity and specificity of the basal LH, basal LH/FSH, and body mass index (BMI) as OHSS predictors were also evaluated. miR-16 was the most efficient for OHSS prediction as it yielded the highest AUC. Logistic binary regression analyses revealed a positive association of miR-223 and BMI. Conclusion: Serum miRNAs are differentially expressed in PCOS patients likely to suffer from severe OHSS. We identified and validated two serum miRNAs that have potential for use as novel noninvasive biomarkers to accurately predict OHSS before controlled ovarian hyperstimulation (COH) for PCOS patients.http://www.karger.com/Article/FullText/373934PCOSMicroRNAOHSSPredictorMicroarray |
| spellingShingle | Chun Zhao Xiaoguang Liu Zhonghua Shi Jing Zhang Junqiang Zhang Xuemei Jia Xiufeng Ling Role of Serum miRNAs in the Prediction of Ovarian Hyperstimulation Syndrome in Polycystic Ovarian Syndrome Patients Cellular Physiology and Biochemistry PCOS MicroRNA OHSS Predictor Microarray |
| title | Role of Serum miRNAs in the Prediction of Ovarian Hyperstimulation Syndrome in Polycystic Ovarian Syndrome Patients |
| title_full | Role of Serum miRNAs in the Prediction of Ovarian Hyperstimulation Syndrome in Polycystic Ovarian Syndrome Patients |
| title_fullStr | Role of Serum miRNAs in the Prediction of Ovarian Hyperstimulation Syndrome in Polycystic Ovarian Syndrome Patients |
| title_full_unstemmed | Role of Serum miRNAs in the Prediction of Ovarian Hyperstimulation Syndrome in Polycystic Ovarian Syndrome Patients |
| title_short | Role of Serum miRNAs in the Prediction of Ovarian Hyperstimulation Syndrome in Polycystic Ovarian Syndrome Patients |
| title_sort | role of serum mirnas in the prediction of ovarian hyperstimulation syndrome in polycystic ovarian syndrome patients |
| topic | PCOS MicroRNA OHSS Predictor Microarray |
| url | http://www.karger.com/Article/FullText/373934 |
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