Genetic Variants miR-126, miR-146a, miR-196a2, and miR-499 in Polycystic Ovary Syndrome

Genetic variants in miR-146a and miR-196a2 in endometriosis: a Brazilian study

OBJECTIVE

The aim of this study was to determine the allelic and genotypic frequencies of the polymorphisms, rs2910164 miR-146a and rs11614913 miR-196a2, by investigating their association with endometriosis.

METHODS

This is a case-control study performed with approximately 120 women. The polymorphisms were determined by real-time polymerase chain reaction. For the statistical analysis, the chi-square and logistic regression tests were used.

RESULTS

There were no significant differences in the genotype and allele frequencies of rs2910164 and rs11614913 between cases and controls. The frequencies in both polymorphisms are in accordance with Hardy-Weinberg equilibrium regarding miR-146a (patients: χ2=1.64, p=0.20; controls: χ2=0.25, p=0.62) and miR-196a2 (patients: χ2=0.58, p=0.44; controls: χ2=2.78, p=0.10). No relationship was observed between rs2910164 and rs11614913 and endometriosis in the inheritance models analyzed.

CONCLUSION

In this study, our results show that the studied polymorphisms are not implicated in the development of endometriosis.

Transcriptome Profiling of Goose Ovarian Follicle Granulosa Cells Reveals Key Regulatory Networks for Follicle Selection

The selection of follicles determines the reproductive performance of birds, but the process of follicle selection in geese is still elusive. This study focuses on Yangzhou geese during the egg-laying period and divides the follicular development process into three stages: small follicle development, follicle selection, and follicle maturation. Transcriptome sequencing was performed on granulosa cells from large white follicles, small yellow follicles, and F5 and F4 follicles. In addition, we selected the transcripts that remained unchanged during the development and maturation of small follicles but significantly changed during the follicular selection stage as the transcript collection that plays an important role in the follicular selection process. Then, we performed functional analysis on these transcripts and constructed a ceRNA network. The results showed that during the follicular selection stage, the number of differentially expressed mRNAs, miRNAs, and lncRNAs was the highest. In addition, miR-222-3p, miR-2954-3p, miR-126-5p, miR-2478, and miR-425-5p are potential key core regulatory molecules in the selection stage of goose follicles. These results can provide a reference for a better understanding of the basic mechanisms of the goose follicle selection process and potential targets for the precise regulation of goose egg production performance.

KISS1 Gene Variations and Susceptibility to Idiopathic Recurrent Pregnancy Loss

It is widely accepted that kisspeptin plays an integral role in the regulation of reproduction. Genetic variations in the KISS1 gene have been frequently reported to be linked to reproductive diseases, but there is still a lack of data on the association between KISS1 variations and female reproductive disorders. The present study aimed to examine the association of three missense SNPs in the KISS1 gene including rs12998, rs35431622, and rs4889 in association with idiopathic recurrent pregnancy loss (iRPL). A total of 720 individuals were recruited in this study. The DNA from the blood sample was extracted and genotyped using the PCR method. Haplotype and linkage disequilibrium (LD) have also been analyzed. The results of this study suggested that rs12998 G > A and rs4889 C > G had a significant association with iRPL (p < 0.05); while rs35431622 A > G didn't indicate any association with iRPL. A significant association was also found for three haplotypes including C-A-A, G-G-G, and G-G-A in this population. The analysis also showed a significant LD between rs12998 and rs35431622 (P < 0.0005). The rs12998 G > A and rs4889 C > G variants of KISS1 are linked to unexplained recurrent pregnancy loss and may be risk factors for this disease.

Study of association between different microRNA variants and the risk of idiopathic recurrent pregnancy loss

AIM

Recurrent pregnancy loss (RPL) is a common reproductive disorder among women and a major cause of infertility among them; however, the underlying causes of RPL remain unknown which have led to great difficulties and complications in the treatment. MicroRNAs (miRNA) have been shown to be a potential diagnosis tools in different reproductive disorders. This study aimed to investigate the association of four different miRNA variants with the risk of idiopathic RPL (iRPL).

METHODS

A total of 450 women including 225 patients and 225 controls were recruited in this study. DNA was extracted, and genotyped by PCR method. Haplotype analysis, as well as linkage disequilibrium between SNPs, was performed.

CONCLUSION

This study suggested that rs4636297, rs41291957, and rs353292, but not rs531564 can play a risk factor role for iRLP.

SARS-CoV-2 effects on sperm parameters: a meta-analysis study

Aim

The rapid outbreak of the coronavirus disease 2019 (COVID-19) pandemic posed challenges across different medical fields, especially reproductive health, and gave rise to concerns regarding the effects of SARS-CoV-2 on male infertility, owing to the fact that the male reproductive system indicated to be extremely vulnerable to SARS-CoV-2 infection. Only a small number of studies have investigated the effects of SARS-CoV-2 on male reproduction, but the results are not consistent. So, we performed this meta-analysis to draw a clearer picture and evaluate the impacts of COVID-19 on male reproductive system.

Method

We searched Embase, Web of Science, PubMed, and Google Scholar databases to identify the potentially relevant studies. Standardized mean difference (SMD) with 95% confidence interval (CI) was applied to assess the relationship. Heterogeneity testing, sensitivity analysis, and publication bias testing were also performed.

Results

A total of twelve studies including 7 case control investigations and 5 retrospective cohort studies were found relevant and chosen for our research. Our result showed that different sperm parameters including semen volume [SMD =  − 0.27 (− 0.46, − 1.48) (p = 0.00)], sperm concentration [SMD =  − 0.41 (− 0.67, − 0.15) (p = 0.002)], sperm count [SMD =  − 0.30 (− 0.44, − 0.17) (p = 0.00)], sperm motility [SMD =  − 0.66 (− 0.98, − 0.33) (p = 0.00)], and progressive motility [SMD =  − 0.35 (− 0.61, − 0.08) (p = 0.01)] were negatively influenced by SARS-CoV-2 infection. However, sperm concentration (p = 0.07) and progressive motility (p = 0.61) were not found to be significantly associated with SARS-CoV-2 infection in case control studies. No publication bias was detected.

Conclusion

The present study revealed the vulnerability of semen quality to SARS-CoV-2 infection. Our data showed a strong association of different sperm parameters with SARS-CoV-2 infection. The results suggested that SARS-CoV-2 infection in patients may negatively influence their fertility potential in a short-term period, but more studies are needed to decide about the long-term effects.