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1.
Endocr J ; 66(7): 587-595, 2019 Jul 28.
Article in English | MEDLINE | ID: mdl-30982795

ABSTRACT

Polycystic ovary syndrome (PCOS) represents a serious reproductive and endocrine condition and is associated with high incidence rates. H19 is a compelling long noncoding RNA (lncRNA) which carries out a range of biological functions. However, prior to this study, little was known as to whether there was an association between lncRNA H19 and PCOS. In the current study, we used quantitative real-time polymerase chain reaction (qRT-PCR) to determine lncRNA H19 expression levels in peripheral blood leukocytes from patients with PCOS and compared this data with that derived from normal controls. We also screened data for potential relationships between lncRNA H19 and a range of endocrine variables in PCOS. The expression of lncRNA H19 was significantly higher in cases of PCOS than in controls. Individuals exhibiting higher expression levels of lncRNA H19 were associated with a significantly higher risk of PCOS than those with lower expression levels. Moreover, lncRNA H19 expression was positively correlated with fasting plasma glucose levels; this was the case with both raw data, and after adjustment for age and BMI in the PCOS group. However, lncRNA H19 expression showed no significant correlation with total testosterone or insulin resistance in either PCOS cases or the controls. In conclusion, we demonstrate the first evidence to indicate that lncRNA H19 is associated with PCOS, suggesting that elevated lncRNA H19 levels are a risk factor for PCOS. For susceptible individuals, lncRNA H19 may represent a useful biomarker of the early stages of endocrine and metabolic disorders in PCOS.


Subject(s)
Polycystic Ovary Syndrome/genetics , RNA, Long Noncoding/genetics , Adult , Asian People/genetics , Asian People/statistics & numerical data , Case-Control Studies , China/epidemiology , Female , Gene Expression , Genetic Predisposition to Disease , Humans , Pilot Projects , Polycystic Ovary Syndrome/epidemiology , Preliminary Data , Risk Factors
2.
Biosci Rep ; 38(3)2018 06 29.
Article in English | MEDLINE | ID: mdl-29853562

ABSTRACT

The miRNA processing genes play essential roles in the biosynthesis of mammalian miRNAs, and their genetic variants are involved in the development of various cancers. Our study aimed to determine the potential association between miRNA processing gene polymorphisms and cervical precancerous lesions. Five single nucleotide polymorphisms (SNPs), including Ran-GTP (RAN) rs14035, exportin-5 (XPO5) rs11077, DICER1 rs3742330, DICER1 rs13078, and TARBP2 rs784567, were genotyped in a case-control study to estimate risk factors of cervical precancerous lesions. The gene-environment interactions and haplotype association were estimated. We identified a 27% decreased risk of cervical precancerous lesions for individuals with minor G allele in DICER1 rs3742330 (odds ratio (OR) = 0.73, 95% confidence interval (95% CI) = 0.58-0.92, P = 0.009). The AG and AG/GG genotypes in DICER1 rs3742330 were also found to decrease the risk of cervical precancerous lesions (AG compared with AA: OR = 0.51, 95% CI = 0.35-0.73, P <0.001; AG/GG compared with AA: OR = 0.54, 95% CI = 0.39-0.77, P = 0.001). The GT haplotype in DICER1 had a risk effect on cervical precancerous lesions compared with the AT haplotype (OR = 1.36, 95% CI = 1.08-1.73, P = 0.010). A two-factor (DICER1 rs3742330 and human papillomavirus (HPV) infection) and two three-factor (model 1: rs3742330, passive smoking, and HPV infection; model 2: rs3742330, abortion history, and HPV infection) interaction models for cervical precancerous lesions were identified. In conclusion, the genetic variants in the miRNA processing genes and interactions with certain environmental factors might contribute to the risk of cervical precancerous lesions in southern Chinese women.


Subject(s)
DEAD-box RNA Helicases/genetics , Genetic Predisposition to Disease , Papillomavirus Infections/genetics , Ribonuclease III/genetics , Uterine Cervical Neoplasms/genetics , Adult , China , Female , Genetic Association Studies , Genotype , Haplotypes/genetics , Humans , Karyopherins/genetics , MicroRNAs/genetics , Middle Aged , Papillomavirus Infections/complications , Papillomavirus Infections/pathology , Polymorphism, Single Nucleotide/genetics , Precancerous Conditions , Pregnancy , RNA-Binding Proteins/genetics , Uterine Cervical Neoplasms/complications , Uterine Cervical Neoplasms/pathology , ran GTP-Binding Protein/genetics
3.
Article in English | MEDLINE | ID: mdl-28208589

ABSTRACT

Background: Lipoma preferred partner (LPP) and T-cell activation Rho GTPase activating protein (TAGAP) polymorphisms might influence the susceptibility to celiac disease. Therefore, we performed a meta-analysis by identifying relevant studies to estimate the risks of these polymorphisms on celiac disease. Methods: The PubMed, Web of Science and Embase databases were searched (up to October 2016) for LPP rs1464510 and TAGAP rs1738074 polymorphisms. Results: This meta-analysis included the same 7 studies for LPP rs1464510 and TAGAP rs1738074. The minor risk A allele at both rs1464510 and rs1738074 carried risks (odds ratios) of 1.26 (95% CI: 1.22-1.30) and 1.17 (95% CI: 1.14-1.21), respectively, which contributed to increased risks in all celiac disease patients by 10.72% and 6.59%, respectively. The estimated lambdas were 0.512 and 0.496, respectively, suggesting that a co-dominant model would be suitable for both gene effects. Conclusions: This meta-analysis provides robust estimates that polymorphisms in LPP and TAGAP genes are potential risk factors for celiac disease in European and American. Prospective studies and more genome-wide association studies (GWAS) are needed to confirm these findings, and some corresponding molecular biology experiments should be carried out to clarify the pathogenic mechanisms of celiac disease.


Subject(s)
Celiac Disease/genetics , Cytoskeletal Proteins/genetics , GTPase-Activating Proteins/genetics , Genetic Predisposition to Disease/genetics , LIM Domain Proteins/genetics , Polymorphism, Single Nucleotide , Alleles , Humans
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