Article(id=1199337302708285451, tenantId=1146029695717560320, journalId=1189873630562394117, issueId=1199337298941804946, articleNumber=null, orderNo=null, doi=10.11855/j.issn.0577-7402.2630.2023.0717, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=research-article, receivedDate=1672243200000, receivedDateStr=2022-12-29, revisedDate=null, revisedDateStr=null, acceptedDate=1677686400000, acceptedDateStr=2023-03-02, onlineDate=1763873895575, onlineDateStr=2025-11-23, pubDate=1706371200000, pubDateStr=2024-01-28, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1763873895575, onlineIssueDateStr=2025-11-23, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1763873895575, creator=13701087609, updateTime=1763873895575, updator=13701087609, issue=Issue{id=1199337298941804946, tenantId=1146029695717560320, journalId=1189873630562394117, year='2024', volume='49', issue='1', pageStart='1', pageEnd='120', issueExtLink='null', onlineDate='null', pubDate='null', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=0, createTime=1763873894677, creator=13701087609, updateTime=1763874094669, updator=13701087609, preIssue=null, nextIssue=null, ext={EN=IssueExt(id=1199338137823572576, tenantId=1146029695717560320, journalId=1189873630562394117, issueId=1199337298941804946, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1199338137823572577, tenantId=1146029695717560320, journalId=1189873630562394117, issueId=1199337298941804946, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null}, startPage=50, endPage=56, ext={EN=ArticleExt(id=1199337304125960246, articleId=1199337302708285451, tenantId=1146029695717560320, journalId=1189873630562394117, language=EN, title=Correlation of FSHR gene polymorphism, BMI and sex hormone six with the risk of polycystic ovary syndrome, columnId=1190310109000602400, journalTitle=Medical Journal of Chinese People’s Liberation Army, columnName=Clinical Research, runingTitle=null, highlight=null, articleAbstract=

Objective To investigate the association between body mass index (BMI), sex hormone and single nucleotide polymorphisms (SNPs) of follicle-stimulating hormone receptor (FSHR) gene rs2268361 and rs2349415 and its correlation with the risk of polycystic ovary syndrome (PCOS). Methods Peripheral blood was collected from 213 PCOS patients and 207 healthy controls, attending the Department of Reproductive Medicine at the First Hospital of Shanxi Medical University, and 32 follicular fluids were randomly collected from each of the PCOS and control groups from March to August 2021. Calculation of BMI of the PCOS and control groups; The levels of follicle-stimulating hormone (FSH), luteinizing hormone (LH), estradiol (E2), testosterone (T), progesterone (P) and prolactin (PRL) in peripheral blood of the two groups were detected by immunochemiluminescence method. Polymerase chain reaction (PCR) and high-resolution melting curve (HRM) were used to analyze the polymorphisms of rs2268361 and rs2349415 in FSHR of the two groups. Quantitative real-time PCR was used to detect the expression of FSHR gene mRNA in peripheral blood and ovarian granulosa cells. Results There was a strong positive correlation between LH and LH/FSH(r=0.88, P<0.05); The levels of BMI, E2, LH, LH/FSH and T in PCOS group were significantly higher than those in control group(P<0.05); FSH level was significantly lower than that of control group (P<0.001). HRM analysis showed the frequencies of CC, CT and TT genotypes at rs2349415 were 55.9%, 34.3% and 9.8% in PCOS group and 68.6%, 23.2% and 8.2% in control group, respectively. The frequencies of C and T alleles were 73.0% and 27.0% in PCOS group and 80.2% and 19.8% in control group, respectively. There were significant differences in genotype frequencies and allele frequencies between the two groups (P<0.05); The expression level of FSHR mRNA was higher in ovarian granulosa cells in PCOS group than in control group (P=0.004), the expression level of FSHR mRNA in rs2349415 TT genotype was higher than that in CC (P=0.002) and CT (P=0.035) genotype. Conclusion High levels of BMI, LH, E2 and T allele of rs2349415 increased the risk of PCOS.

, correspAuthors=Li Li, authorNote=null, correspAuthorsNote=
E-mail:
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目的 探讨体重指数(BMI)、性激素及卵泡刺激素受体(FSHR)基因rs2268361和rs2349415位点的单核苷酸多态性(SNP)与多囊卵巢综合征(PCOS)发病风险的相关性。方法 收集2021年3-8月山西医科大学第一医院生殖医学科门诊就诊的213例PCOS患者(PCOS组)与207名健康对照者(对照组)的外周血,随机收集PCOS组与对照组各32例卵泡液。计算PCOS组与对照组的BMI;采用免疫化学发光法检测两组外周血卵泡刺激素(FSH)、黄体生成素(LH)、雌二醇(E2)、睾酮(T)、孕酮(P)和泌乳素(PRL)水平;采用聚合酶链式反应(PCR)和高分辨熔解曲线(HRM)分析两组FSHR基因rs2268361和rs2349415位点多态性;采用实时定量PCR检测两组外周血及卵巢颗粒细胞FSHR mRNA表达水平。结果 LH与LH/FSH呈明显正相关(r=0.88,P<0.05);PCOS组BMI、E2、LH、LH/FSH、T水平明显高于对照组(P<0.05),FSH水平明显低于对照组(P<0.001);HRM分析显示,PCOS组rs2349415位点CC、CT、TT基因型频率分别为55.9%、34.3%和9.8%,对照组分别为68.6%、23.2%和8.2%,PCOS组C、T等位基因频率分别为73.0%、27.0%,对照组分别为80.2%、19.8%,两组基因型频率及等位基因频率比较差异均有统计学意义(P<0.05);PCOS组卵巢颗粒细胞中FSHR mRNA表达水平明显高于对照组(P=0.004),其中rs2349415 TT基因型FSHR mRNA表达水平高于CC(P=0.002)和CT基因型(P=0.035)。结论 高水平的BMI、LH、E2及rs2349415位点T等位基因可增加PCOS的发病风险。

, correspAuthors=李莉, authorNote=null, correspAuthorsNote=
李莉,E-mail:
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昝志芳,硕士研究生,主要从事多囊卵巢综合征及不孕症方面的研究

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昝志芳,硕士研究生,主要从事多囊卵巢综合征及不孕症方面的研究

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昝志芳,硕士研究生,主要从事多囊卵巢综合征及不孕症方面的研究

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Syst Biol Reprod Med, 2022, 68(2): 129-137., articleTitle=FSHR antagonists can trigger a PCOS-like state, refAbstract=null)], funds=[Fund(id=1199376219620864550, tenantId=1146029695717560320, journalId=1189873630562394117, articleId=1199337302708285451, awardId=82272622, language=EN, fundingSource=National Natural Science Foundation of China(82272622), fundOrder=null, country=null), Fund(id=1199376219734110761, tenantId=1146029695717560320, journalId=1189873630562394117, articleId=1199337302708285451, awardId=82272622, language=CN, fundingSource=国家自然科学基金(82272622), fundOrder=null, country=null), Fund(id=1199376219838968366, tenantId=1146029695717560320, journalId=1189873630562394117, articleId=1199337302708285451, awardId=20210302123307, language=EN, fundingSource=Basic Project of Shanxi Province Natural Science Foundation(20210302123307), fundOrder=null, country=null), Fund(id=1199376219943825971, tenantId=1146029695717560320, journalId=1189873630562394117, articleId=1199337302708285451, awardId=20210302123307, language=CN, fundingSource=山西省自然科学基金面上项目(20210302123307), fundOrder=null, country=null), Fund(id=1199376220040294967, tenantId=1146029695717560320, journalId=1189873630562394117, articleId=1199337302708285451, awardId=2020-076, language=EN, fundingSource=Scientific Research Support Project of Shanxi Province for Returned Overseas Students Studying Abroad(2020-076), fundOrder=null, country=null), Fund(id=1199376220145152572, tenantId=1146029695717560320, journalId=1189873630562394117, articleId=1199337302708285451, awardId=2020-076, language=CN, fundingSource=山西省回国留学人员科研资助项目(2020-076), fundOrder=null, country=null)], companyList=[AuthorCompany(id=1199376215317508427, tenantId=1146029695717560320, journalId=1189873630562394117, articleId=1199337302708285451, xref=1, ext=[AuthorCompanyExt(id=1199376215330091342, tenantId=1146029695717560320, journalId=1189873630562394117, articleId=1199337302708285451, companyId=1199376215317508427, language=EN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=1Department of Medical Cell Biology and Genetics, Basic Medical College, Shanxi Medical University, Taiyuan, Shanxi 030001, China), AuthorCompanyExt(id=1199376215372034382, tenantId=1146029695717560320, journalId=1189873630562394117, articleId=1199337302708285451, companyId=1199376215317508427, language=CN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=1山西医科大学基础医学院医学细胞生物与遗传学教研室,山西太原 030001)]), AuthorCompany(id=1199376215502057813, tenantId=1146029695717560320, journalId=1189873630562394117, articleId=1199337302708285451, xref=2, ext=[AuthorCompanyExt(id=1199376215510446422, tenantId=1146029695717560320, journalId=1189873630562394117, articleId=1199337302708285451, companyId=1199376215502057813, language=EN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=2Department of Reproductive Medicine, the First Hospital of Shanxi Medical University, Taiyuan, Shanxi 030001, China), AuthorCompanyExt(id=1199376215518835032, tenantId=1146029695717560320, journalId=1189873630562394117, articleId=1199337302708285451, companyId=1199376215502057813, language=CN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=2山西医科大学第一医院生殖医学科,山西太原 030001)])], figs=[ArticleFig(id=1199376218622620159, tenantId=1146029695717560320, journalId=1189873630562394117, articleId=1199337302708285451, language=EN, label=Fig.1, caption=Scatter diagram of clinical indicators and Pearson correlation coefficient, figureFileSmall=9H1pjtsweUms+udPXWkHgw==, figureFileBig=uXEIQ4jQugQQcw5AA0Fetw==, tableContent=null), ArticleFig(id=1199376218714894851, tenantId=1146029695717560320, journalId=1189873630562394117, articleId=1199337302708285451, language=CN, label=图1, caption=临床指标间散点图及其Pearson相关系数

BMI. 体重指数;E2. 雌二醇;P. 孕酮;FSH. 卵泡刺激素;TT. 总睾酮;PRL. 泌乳素;LH. 黄体生成素;CT. ΔΔCt值

, figureFileSmall=9H1pjtsweUms+udPXWkHgw==, figureFileBig=uXEIQ4jQugQQcw5AA0Fetw==, tableContent=null), ArticleFig(id=1199376218819752457, tenantId=1146029695717560320, journalId=1189873630562394117, articleId=1199337302708285451, language=EN, label=Fig.2, caption=Logistic regression analysis of odds ratio (OR) of clinical indicators and genotypes of SNP, figureFileSmall=RHtCwhuBp69hS8hLpGWlxA==, figureFileBig=JvMjXgHnDbSGEl45nkR+oQ==, tableContent=null), ArticleFig(id=1199376218899444235, tenantId=1146029695717560320, journalId=1189873630562394117, articleId=1199337302708285451, language=CN, label=图2, caption=Logistic回归分析临床指标和SNP位点比值比(OR)的森林图

BMI. 体重指数;FSH. 卵泡刺激素;LH. 黄体生成素;T. 睾酮;PRL. 泌乳素;E2. 雌二醇;P. 孕酮;SNP. 单核苷酸多态性

, figureFileSmall=RHtCwhuBp69hS8hLpGWlxA==, figureFileBig=JvMjXgHnDbSGEl45nkR+oQ==, tableContent=null), ArticleFig(id=1199376219000107538, tenantId=1146029695717560320, journalId=1189873630562394117, articleId=1199337302708285451, language=EN, label=Fig.3, caption=FSHR mRNA expression levels in peripheral blood and ovarian granulosa cells of PCOS and control groups and individuals with different genotypes at rs2349415, figureFileSmall=tAyR/UYmz78zZXsYWLdNxA==, figureFileBig=CC0882uN6SQOVOhVbNAQjQ==, tableContent=null), ArticleFig(id=1199376219088187924, tenantId=1146029695717560320, journalId=1189873630562394117, articleId=1199337302708285451, language=CN, label=图3, caption=两组间及rs2349415位点不同基因型个体的外周血及卵巢颗粒细胞中的FSHR mRNA表达水平

PCOS. 多囊卵巢综合征;A. PCOS组与对照组外周血的FSHR mRNA表达;B. rs2349415位点不同基因型个体外周血的FSHR mRNA表达;C. PCOS组与对照组卵巢颗粒细胞的FSHR mRNA表达;D. rs2349415位点不同基因型个体卵巢颗粒细胞的FSHR mRNA表达

, figureFileSmall=tAyR/UYmz78zZXsYWLdNxA==, figureFileBig=CC0882uN6SQOVOhVbNAQjQ==, tableContent=null), ArticleFig(id=1199376219188851224, tenantId=1146029695717560320, journalId=1189873630562394117, articleId=1199337302708285451, language=EN, label=Tab.1, caption=

Comparison of clinical indicators between the PCOS and control groups ($\bar{x}±s$)

, figureFileSmall=null, figureFileBig=null, tableContent=
指标

PCOS组
(n=213)

对照组
(n=207)

tP
年龄(岁)28.7±4.129.3±5.0-1.4800.138
身高(m)1.61±0.051.62±0.051.2770.202
体重(kg)66.18±10.6661.55±10.304.524<0.001
BMI(kg/m2)25.35±4.1023.76±3.924.047<0.001
FSH(U/L)6.97±3.908.75±3.77-4.759<0.001
LH(U/L)7.67±5.445.03±3.465.978<0.001
T(ng/dl)55.41±30.3849.13±23.332.3770.018
PRL(μg/L)19.93±23.4219.37±22.520.2480.804
E2(ng/L)53.90±41.6040.22±29.503.899<0.001
P(μg/L)0.65±0.920.60±0.450.7670.443
LH/FSH1.24±1.230.70±1.214.756<0.001
), ArticleFig(id=1199376219264348700, tenantId=1146029695717560320, journalId=1189873630562394117, articleId=1199337302708285451, language=CN, label=表1, caption=

PCOS组与对照组临床指标比较($\bar{x}±s$)

, figureFileSmall=null, figureFileBig=null, tableContent=
指标

PCOS组
(n=213)

对照组
(n=207)

tP
年龄(岁)28.7±4.129.3±5.0-1.4800.138
身高(m)1.61±0.051.62±0.051.2770.202
体重(kg)66.18±10.6661.55±10.304.524<0.001
BMI(kg/m2)25.35±4.1023.76±3.924.047<0.001
FSH(U/L)6.97±3.908.75±3.77-4.759<0.001
LH(U/L)7.67±5.445.03±3.465.978<0.001
T(ng/dl)55.41±30.3849.13±23.332.3770.018
PRL(μg/L)19.93±23.4219.37±22.520.2480.804
E2(ng/L)53.90±41.6040.22±29.503.899<0.001
P(μg/L)0.65±0.920.60±0.450.7670.443
LH/FSH1.24±1.230.70±1.214.756<0.001
), ArticleFig(id=1199376219331457566, tenantId=1146029695717560320, journalId=1189873630562394117, articleId=1199337302708285451, language=EN, label=Tab.2, caption=

Comparison of frequency distribution of FSHR genotypes and alleles between PCOS and control groups [n(%)]

, figureFileSmall=null, figureFileBig=null, tableContent=
SNP位点

PCOS组
(n=213)

对照组
(n=207)

χ2P
rs2268361
基因型0.2690.874
CC50(23.5)49(23.7)
CT107(50.2)108(52.2)
TT56(26.3)50(24.1)
等位基因0.0720.788
C207(48.6)206(49.8)
T219(51.4)208(50.2)
rs2349415
基因型7.5290.023
CC119(55.9)142(68.6)
CT73(34.3)48(23.2)
TT21(9.8)17(8.2)
等位基因6.0440.014
C311(73.0)332(80.2)
T115(27.0)82(19.8)
), ArticleFig(id=1199376219436315168, tenantId=1146029695717560320, journalId=1189873630562394117, articleId=1199337302708285451, language=CN, label=表2, caption=

PCOS组与对照组FSHR基因型和等位基因频率分布比较[例(%)]

, figureFileSmall=null, figureFileBig=null, tableContent=
SNP位点

PCOS组
(n=213)

对照组
(n=207)

χ2P
rs2268361
基因型0.2690.874
CC50(23.5)49(23.7)
CT107(50.2)108(52.2)
TT56(26.3)50(24.1)
等位基因0.0720.788
C207(48.6)206(49.8)
T219(51.4)208(50.2)
rs2349415
基因型7.5290.023
CC119(55.9)142(68.6)
CT73(34.3)48(23.2)
TT21(9.8)17(8.2)
等位基因6.0440.014
C311(73.0)332(80.2)
T115(27.0)82(19.8)
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FSHR基因多态性、BMI及性激素与多囊卵巢综合征发病风险的相关性分析
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昝志芳 1, 2 , 土增荣 2 , 王淇蓉 1 , 段毓 1 , 刘建兵 1 , 李莉 1, *
解放军医学杂志 | 临床研究 2024,49(1): 50-56
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解放军医学杂志 | 临床研究 2024, 49(1): 50-56
FSHR基因多态性、BMI及性激素与多囊卵巢综合征发病风险的相关性分析
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昝志芳1, 2, 土增荣2, 王淇蓉1, 段毓1, 刘建兵1, 李莉1, *
作者信息
  • 1山西医科大学基础医学院医学细胞生物与遗传学教研室,山西太原 030001
  • 2山西医科大学第一医院生殖医学科,山西太原 030001
  • 昝志芳,硕士研究生,主要从事多囊卵巢综合征及不孕症方面的研究

通讯作者:

李莉,E-mail:
Correlation of FSHR gene polymorphism, BMI and sex hormone six with the risk of polycystic ovary syndrome
Zhi-Fang Zan1, 2, Zeng-Rong Tu2, Qi-Rong Wang1, Yu Duan1, Jian-Bing Liu1, Li Li1, *
Affiliations
  • 1Department of Medical Cell Biology and Genetics, Basic Medical College, Shanxi Medical University, Taiyuan, Shanxi 030001, China
  • 2Department of Reproductive Medicine, the First Hospital of Shanxi Medical University, Taiyuan, Shanxi 030001, China
出版时间: 2024-01-28 doi: 10.11855/j.issn.0577-7402.2630.2023.0717
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目的 探讨体重指数(BMI)、性激素及卵泡刺激素受体(FSHR)基因rs2268361和rs2349415位点的单核苷酸多态性(SNP)与多囊卵巢综合征(PCOS)发病风险的相关性。方法 收集2021年3-8月山西医科大学第一医院生殖医学科门诊就诊的213例PCOS患者(PCOS组)与207名健康对照者(对照组)的外周血,随机收集PCOS组与对照组各32例卵泡液。计算PCOS组与对照组的BMI;采用免疫化学发光法检测两组外周血卵泡刺激素(FSH)、黄体生成素(LH)、雌二醇(E2)、睾酮(T)、孕酮(P)和泌乳素(PRL)水平;采用聚合酶链式反应(PCR)和高分辨熔解曲线(HRM)分析两组FSHR基因rs2268361和rs2349415位点多态性;采用实时定量PCR检测两组外周血及卵巢颗粒细胞FSHR mRNA表达水平。结果 LH与LH/FSH呈明显正相关(r=0.88,P<0.05);PCOS组BMI、E2、LH、LH/FSH、T水平明显高于对照组(P<0.05),FSH水平明显低于对照组(P<0.001);HRM分析显示,PCOS组rs2349415位点CC、CT、TT基因型频率分别为55.9%、34.3%和9.8%,对照组分别为68.6%、23.2%和8.2%,PCOS组C、T等位基因频率分别为73.0%、27.0%,对照组分别为80.2%、19.8%,两组基因型频率及等位基因频率比较差异均有统计学意义(P<0.05);PCOS组卵巢颗粒细胞中FSHR mRNA表达水平明显高于对照组(P=0.004),其中rs2349415 TT基因型FSHR mRNA表达水平高于CC(P=0.002)和CT基因型(P=0.035)。结论 高水平的BMI、LH、E2及rs2349415位点T等位基因可增加PCOS的发病风险。

多囊卵巢综合征  /  卵泡刺激素受体  /  单核苷酸多态性  /  性激素

Objective To investigate the association between body mass index (BMI), sex hormone and single nucleotide polymorphisms (SNPs) of follicle-stimulating hormone receptor (FSHR) gene rs2268361 and rs2349415 and its correlation with the risk of polycystic ovary syndrome (PCOS). Methods Peripheral blood was collected from 213 PCOS patients and 207 healthy controls, attending the Department of Reproductive Medicine at the First Hospital of Shanxi Medical University, and 32 follicular fluids were randomly collected from each of the PCOS and control groups from March to August 2021. Calculation of BMI of the PCOS and control groups; The levels of follicle-stimulating hormone (FSH), luteinizing hormone (LH), estradiol (E2), testosterone (T), progesterone (P) and prolactin (PRL) in peripheral blood of the two groups were detected by immunochemiluminescence method. Polymerase chain reaction (PCR) and high-resolution melting curve (HRM) were used to analyze the polymorphisms of rs2268361 and rs2349415 in FSHR of the two groups. Quantitative real-time PCR was used to detect the expression of FSHR gene mRNA in peripheral blood and ovarian granulosa cells. Results There was a strong positive correlation between LH and LH/FSH(r=0.88, P<0.05); The levels of BMI, E2, LH, LH/FSH and T in PCOS group were significantly higher than those in control group(P<0.05); FSH level was significantly lower than that of control group (P<0.001). HRM analysis showed the frequencies of CC, CT and TT genotypes at rs2349415 were 55.9%, 34.3% and 9.8% in PCOS group and 68.6%, 23.2% and 8.2% in control group, respectively. The frequencies of C and T alleles were 73.0% and 27.0% in PCOS group and 80.2% and 19.8% in control group, respectively. There were significant differences in genotype frequencies and allele frequencies between the two groups (P<0.05); The expression level of FSHR mRNA was higher in ovarian granulosa cells in PCOS group than in control group (P=0.004), the expression level of FSHR mRNA in rs2349415 TT genotype was higher than that in CC (P=0.002) and CT (P=0.035) genotype. Conclusion High levels of BMI, LH, E2 and T allele of rs2349415 increased the risk of PCOS.

polycystic ovary syndrome  /  follicle stimulating hormone receptor  /  single nucleotide polymorphism  /  sex hormones
昝志芳, 土增荣, 王淇蓉, 段毓, 刘建兵, 李莉. FSHR基因多态性、BMI及性激素与多囊卵巢综合征发病风险的相关性分析. 解放军医学杂志, 2024 , 49 (1) : 50 -56 . DOI: 10.11855/j.issn.0577-7402.2630.2023.0717
Zhi-Fang Zan, Zeng-Rong Tu, Qi-Rong Wang, Yu Duan, Jian-Bing Liu, Li Li. Correlation of FSHR gene polymorphism, BMI and sex hormone six with the risk of polycystic ovary syndrome[J]. Medical Journal of Chinese People’s Liberation Army, 2024 , 49 (1) : 50 -56 . DOI: 10.11855/j.issn.0577-7402.2630.2023.0717
多囊卵巢综合征(polycystic ovary syndrome,PCOS)是育龄妇女常见的内分泌及代谢疾病[1-3],全球患病率为4%~18%[4-5],我国的患病率约为5.6%[6],占无排卵性不孕症的75%[7],且发病率呈逐年上升趋势。PCOS临床表现为月经稀发或闭经、无排卵性不孕、肥胖、痤疮和多毛等[8-9]。远期并发症有代谢性疾病、子宫内膜癌、糖尿病、高血压及不良的妊娠结局等[9-10],严重危害女性的生活质量和生育能力,是生殖领域面临的巨大挑战之一[11]。目前普遍认为,PCOS的发生与遗传、环境、生活习惯及心理健康等密切相关,但其发病机制及影响因素至今尚未完全阐明、诊断标准尚未统一[12],因此,进一步探讨PCOS的易感基因及多态性对于更好地了解该疾病具有重要意义。PCOS的临床表现具有高度异质性,其发生发展与机体紊乱的激素水平密切相关[13],肥胖也会增加特定妊娠和分娩并发症的风险[14]。越来越多的证据表明,PCOS是一种多基因复杂病[15-16],而卵泡刺激素受体(follicle stimulating hormone receptor,FSHR)基因异常在PCOS发病中扮演了重要角色。FSHR基因的rs2268361和rs2349415是与PCOS具有显著关联的单核苷酸多态性(single nucleotide polymorphism,SNP)位点[17],目前国内外已针对FSHR基因SNP位点的多态性进行了广泛研究,但结论存在一些矛盾[18],主要体现在FSHR基因多态性与PCOS是否具有相关性及其机制方面。本研究通过分析PCOS患者与健康对照者的外周血及卵泡液、检测体重指数(body mass index,BMI)及血清性激素指标,探究FSHR基因rs2268361和rs2349415位点的多态性分布,以及该基因不同基因型个体卵巢颗粒细胞中FSHR mRNA的表达水平及其与PCOS发病的关系,以期为PCOS的早期诊断及治疗提供相关分子标志。
本研究为病例对照研究。选择2021年3—8月在山西医科大学第一医院生殖医学科诊治的213例PCOS患者作为PCOS组。纳入标准:(1)PCOS诊断符合2003年《鹿特丹共识》[19];(2)年龄20~40岁女性;(3)非妊娠育龄期;(4)近3个月内未服用过影响激素变化的药物。排除标准[20]:(1)其他原因导致的高雄激素表现或月经异常;(2)临床确诊为高泌乳素血症、甲状腺功能障碍、糖尿病等疾病;(3)严重脏器功能不全、恶性肿瘤等疾病;(4)伴有子宫疾病、反复流产、染色体异常等。同期纳入同一医院中身体健康、由于输卵管因素或男方因素来院检查的207名健康非PCOS女性作为对照组。采用随机号码表法(即利用随机号码表抽取样本的方法)从上述PCOS组与对照组中随机收集实施体外受精-胚胎移植者的卵泡液各32例(选择取卵日穿刺的第1个直径≥16 mm的卵泡,尽量减少卵泡液中混入血液,拾卵后收集废弃的卵泡液),比较两组FSHR mRNA相对表达量。本研究已获山西医科大学伦理委员会审批(批准号:2021GLL87),所有研究对象均已签署知情同意书。
测量所有受试者的身高、体重,计算BMI。所有受试者于月经周期第2~5天(月经稀发或闭经者在B超检查无优势卵泡时),清晨空腹静息10 min后采集外周静脉血。非抗凝管采血5 ml,EDTA抗凝管采血2 ml。非抗凝血于30 min内4000 r/min离心10 min,取上清液,采用免疫化学发光全自动生化分析仪及配套试剂盒(日本东曹株式会社)检测血清性激素六项[卵泡刺激素(follicle stimulating hormone,FSH)、黄体生成素(luteinizing hormone,LH)、雌二醇(estradiol,E2)、睾酮(testosterone,T)、孕酮(progesterone,P)、泌乳素(prolactin,PRL)]的水平。抗凝血采集后放置于4 ℃冰箱保存,并在3 d内采用全血DNA提取试剂盒(美国OMEGA公司)抽提全血DNA,利用微量核酸测定仪测定样本浓度与纯度,选择吸光度值A260/A280比值为1.8~2.1,A260/A230>1.5的DNA样本,置于-20 ℃低温冰箱备用。
利用Primer 5.0软件和NCBI数据库进行FSHR基因SNP位点rs2268361和rs2349415的引物设计。引物序列:rs2268361,上游5'-TGGCTTTGATGCTGTGAGAC-3',下游5'-CAACA-TCCACCAATGAAAGATC-3';rs2349415,上游5'-AA-ACTTTATTCATAAAAACAGGTG-3',下游5'-ATCTA-GGACAGTGTCACTGAACTAC-3'。采用聚合酶链式反应(PCR)扩增DNA:10 µl的PCR反应体系中2×Taq Master Mix 5 µl,模板DNA 1 µl,上下游引物(10 µmol/L)各0.1 µl,高低温内标MIX 0.2 µl,LC Green 0.8 µl,去离子水2.8 µl补充至10 µl;热循环参数:95 ℃ 5 min;95 ℃ 30 s、52 ℃ 30 s、72 ℃ 7 s,循环35次;72 ℃ 7 min,95 ℃ 30 s,25 ℃ 2 min,94 ℃ 30 s,24 ℃ 4 min。使用高分辨熔解曲线分析(HRM)系统(美国Idaho Technology公司)进行基因分型,所有结果均经双人核对并对有疑问的样本进行测序验证。为保证准确的基因分型结果,每个SNP位点的基因型随机选择3个样本,对PCR产物进行测序验证。测序由北京华大基因科技有限公司完成。
Trizol法提取总RNA,利用琼脂糖凝胶电泳分析RNA完整性及是否存在污染,利用微量核酸测定仪测定样本浓度和纯度,选择吸光度值A260/A280比值在1.8~2.1,A260/A230>1.5的RNA样本,置于-80 ℃低温冰箱保存,检测合格的样本采用反转录试剂盒(日本TaKaRa公司)反转录为cDNA。FSHR基因引物序列:上游5'-GTGCATTCAATGGAACCCAAC-TAGA-3',下游5'-TCCGTGGAAAACATCATTAGGC-3'。用SYBR Green® Premix Ex TaqTM Ⅱ试剂盒(日本TaKaRa公司)进行qRT-PCR反应,每个样本设置3个复孔。采用实时定量PCR仪(美国Thermo Fisher Scientific公司)检测FSHR mRNA的表达水平用内参β-actin、目的基因FSHR基因相对拷贝数,计算2-ΔΔCt,比较PCOS组与对照组FSHR基因mRNA相对表达量。
收集受试者取卵日穿刺的第1个直径≥16 mm的卵泡(尽量减少血液混入),并将卵泡液混匀后置于15 ml离心管中,1500 r/min离心10 min,将红细胞层上方的白色絮状物吸出,置于1.5 ml EP管中,添加红细胞裂解液500 µl,充分震荡,冰上静置5 min。加1 ml PBS重悬沉淀,1500 r/min离心5 min,弃上清,重复2~3次至沉淀为白色。使用Trizol法提取卵泡液中颗粒细胞总RNA,反转录为cDNA,进行qRT-PCR反应,并计算FSHR基因mRNA相对表达量。
比较两组间各临床指标的差异,并分析各指标之间的相关关系;比较两组FSHR基因rs2268361和rs2349415位点的基因型和等位基因频率分布;在探究单一变量与PCOS发病的关系时,因无法消除其余指标对PCOS发病的影响,本研究以年龄、BMI、E2、P、PRL、LH、FSH、LH/FSH为自变量,以是否发生PCOS为因变量,构建多因素logistic回归方程分析性激素、BMI、SNPs与PCOS发生的相关性;采用qRT-PCR检测PCOS组与对照组外周血和部分受试者卵泡液中卵巢颗粒细胞中FSHR mRNA水平,探究rs2349415位点不同基因型是否影响FSHR mRNA的表达水平。
采用SPSS 26.0和R语言对数据进行统计分析。计量资料以$\bar{x}±s$表示,组间比较采用独立样本t检验;计数资料以例(%)表示,组间比较采用χ2检验。采用多因素logistic回归分析PCOS发生易感的影响因素。P<0.05为差异有统计学意义。
Pearson相关分析显示,LH与LH/FSH呈明显正相关(r=0.88,P<0.05),FSH与LH/FSH呈弱负相关(r=-0.30,P<0.05);其他指标之间两两相关系数均较低(中位数0.06),且差异无统计学意义,表明各指标间相互独立(图1)。
PCOS组体重、BMI、E2、LH、T及LH/FSH均明显高于对照组(P<0.05),而FSH水平明显低于对照组(P<0.001);两组年龄、身高、PRL、P水平比较差异无统计学意义(P>0.05,表1)。
HRM检测结果显示,对照组FSHR基因rs2268361和rs2349415多态性位点符合Hardy-Weinburg平衡。PCOS组与对照组rs2268361位点的CC、CT、TT 3种基因型频率及C、T等位基因频率差异均无统计学意义(P>0.05);两组rs2349415位点的CC、CT、TT基因型频率(χ2=7.529,P=0.023)及C、T等位基因频率(χ2=6.044,P=0.014)差异有统计学意义(表2)。
1.112,95%CI 1.059~1.167)、E2(OR=1.009,95%CI 1.003~1.014)、LH(OR=1.178,95%CI 1.114~1.247)均为PCOS发生的独立危险因素,而相对高水平的FSH(OR=0.832,95%CI 0.768~0.901)则可降低PCOS的发生风险(P<0.05);与rs2349415位点CC基因型相比,携带CT基因型可增加PCOS的发生风险(P=0.009);经校正年龄、BMI后,rs2349415位点CT基因型仍为PCOS发生的独立危险因素(OR=1.933,95%CI 1.275~2.932)(图2)。
在外周血中,FSHR mRNA水平在PCOS组与对照组间、在rs2349415位点CC、CT、TT 3个基因型间差异均无统计学意义(图3A、B);在卵巢颗粒细胞中,PCOS组FSHR mRNA水平明显高于对照组(P=0.004),rs2349415位点上TT基因型的FSHR mRNA表达水平高于CC和CT基因型,差异有统计学意义(P=0.002;P=0.035;图3C、D)。
调整生活方式已逐渐被公认为是PCOS的一线治疗方法,可缓解患者的代谢功能紊乱并改善生殖障碍[21]。在PCOS的发生发展过程中,肥胖既是临床特征,又参与PCOS病理机制形成的各个环节[22]。肥胖女性性激素结合球蛋白水平下降[23],可使雄激素水平升高,进而破坏排卵功能[24]。本研究PCOS组的BMI明显高于对照组,进一步提示肥胖是导致PCOS易感性增高的原因之一,建议肥胖PCOS患者通过减重来达到有效的干预。PCOS组LH、LH/FSH及T水平较对照组明显升高,而FSH水平明显下降,与以往的研究结果基本一致[25]。雄激素为卵泡发育与成熟所必需的条件,但PCOS患者异常增高的雄激素水平反而阻碍了优势卵泡的发育,雄激素过量也可能提示PCOS的潜在易感性增加[26]。本研究中PCOS患者E2水平明显升高,除与患者体内雌酮(E1)明显增多,与E2相互转化外,也可能与PCOS患者基础窦卵泡数量较多、所分泌的雌激素增加有关。LH和FSH属于糖蛋白激素,可直接作用于卵巢,提高颗粒细胞活性进而加速卵泡发育。PCOS患者垂体对促性腺激素释放激素的敏感性增加,分泌过量的LH,临床上LH/FSH≥2,可辅助诊断PCOS[27]。本研究各临床指标间相关性分析显示,LH与LH/FSH呈明显的正相关,而FSH与LH/FSH呈弱负相关,提示高LH水平紊乱对于协助PCOS诊断更具敏感性。
遗传因素在PCOS发病中的作用越来越受到关注。最近的全基因组关联研究(genome-wide association studies,GWAS)发现了18种与PCOS明显相关的遗传变异[18],包括DENND1、INSRFSHRLHCGR等基因或附近的变异。FSHR基因位于2p16.3,由10个外显子和9个内含子组成,是促卵泡激素和性腺发育功能的受体。一项跨种族的Meta分析结果显示,FSHR的SNP位点rs2268361 T等位基因和rs2349415 T等位基因增加了PCOS的发病风险[28];针对泰国妇女的大多数研究并未证实FSHR多态性增加PCOS的易感性[28];中国女性的GWAS-Meta研究发现,rs2268361与中国妇女PCOS易感性明显相关[29];一项针对中国南方汉族的研究发现,在卵巢多囊样变与非多囊样变组间SNP位点rs2268361 GG基因型的等位基因分布存在明显差异,而在rs2349415位点上则未发现明显差异[30]。在本研究人群中,FSHR基因rs2268361位点的等位基因型分别为CC、CT和TT,PCOS组中最小等位基因频率C为48.6%,该位点多态性与PCOS易感性无明显相关,与一项涉及中国和澳大利亚的跨种族Meta分析发现不一致[28],提示可能在不同人群、种族、民族和地域间存在一定的遗传互作;rs2349415位点的等位基因组成CC、CT和TT 3种基因型,PCOS组中最小等位基因频率T为27.0%,明显高于对照组的19.8%(P=0.014),提示在本研究人群中,rs2349415-T等位基因增加了PCOS的发病风险。
FSHR主要由卵巢颗粒细胞分泌,颗粒细胞在原始卵泡的启动和生长发育中起着重要的调控作用[31]。本研究发现,两组外周血中FSHR mRNA表达水平差异无统计学意义,而在卵巢颗粒细胞中PCOS组FSHR mRNA表达水平明显高于对照组(P=0.014)。此外,本研究检测了rs2349415位点不同基因型个体卵巢颗粒细胞中FSHR mRNA的表达水平,结果发现TT基因型个体FSHR mRNA表达水平高于CC和CT基因型,提示不同的基因型可影响FSHR的表达。FSHR基因的多态性一方面影响PCOS的易感性,另一方面也影响了促排卵治疗时FSHR对外源性FSH的敏感性[18],FSH-FSHR相互作用可促进卵巢颗粒细胞分化及卵泡成熟[32-33],可能影响PCOS的发生,因此,在辅助生殖促排卵用药中,有望依据患者FSHR基因rs2349415位点不同基因型使用不同剂量的外源性FSH,从而指导临床用药。
综上所述,本研究发现,高水平的BMI、E2、LH以及rs2349415 T等位基因是PCOS发生的危险因素,不同的基因型可影响卵巢颗粒细胞FSHR mRNA的表达,为PCOS的早期筛查与治疗提供了潜在分子标志,对阐明PCOS的发病机制,以及早期识别与管理提供理论基础。本研究仍存在局限性:纳入的样本量偏小,且为单一的医疗中心。但是本研究为PCOS的早期筛查提供了一定的科学依据,未来应联合多中心以扩大样本量及地域范围,以期获得更全面的研究结果,对PCOS患者乃至整个家庭及社会均有重要意义。
  • 国家自然科学基金(82272622)
  • 山西省自然科学基金面上项目(20210302123307)
  • 山西省回国留学人员科研资助项目(2020-076)
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doi: 10.11855/j.issn.0577-7402.2630.2023.0717
  • 接收时间:2022-12-29
  • 首发时间:2025-11-23
  • 出版时间:2024-01-28
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  • 收稿日期:2022-12-29
  • 录用日期:2023-03-02
基金
National Natural Science Foundation of China(82272622)
国家自然科学基金(82272622)
Basic Project of Shanxi Province Natural Science Foundation(20210302123307)
山西省自然科学基金面上项目(20210302123307)
Scientific Research Support Project of Shanxi Province for Returned Overseas Students Studying Abroad(2020-076)
山西省回国留学人员科研资助项目(2020-076)
作者信息
    1山西医科大学基础医学院医学细胞生物与遗传学教研室,山西太原 030001
    2山西医科大学第一医院生殖医学科,山西太原 030001

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2种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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