Polymorphisms of protamine genes contribute to male infertility susceptibility in the Chinese Han population

Genetic variations as molecular diagnostic factors for idiopathic male infertility: current knowledge and future perspectives

INTRODUCTION

Infertility is a major health problem, worldwide, which affects 10-15% of couples. About half a percent of infertility cases are related to male-related factors. Male infertility is a complex disease that is the result of various insults as lifestyle issues, genetics, and epigenetic factors. Idiopathic infertility is responsible for 30% of total cases. The genetic factors responsible for male infertility include chromosomal abnormalities, deletions of chromosome Y, and mutations and genetic variations of key genes.

AREAS COVERED

In this review article, we aim to narrate performed studies on polymorphisms of essential genes involved in male infertility including folate metabolizing genes, oxidative stress-related genes, inflammation, and cellular pathways related to spermatogenesis. Moreover, possible pathophysiologic mechanisms responsible for genetic polymorphisms are discussed.

EXPERT OPINION

Analysis and assessment of these genetic variations could help in screening, diagnosis, and treatment of idiopathic male infertility.

Identification of the PRM1 gene mutations in oligoasthenoteratozoospermic men

Mutations or altered expression of PRM1 gene have been associated with male infertility. This study aimed to analyse pathogenic variations of PRM1 gene in Iranian Arab infertile men with oligoasthenoteratozoospermia that was carried out for the first time in this population. Genomic DNA was used to perform PCR sequencing in PRM1 untranslated regions, exons and intron. Also, bioinformatics analysis was recruited to discover the possible effect of detected variations. Two pathogenic variations were seen in two men with oligoasthenoteratozoospermia, which were not found in the control group. The cDNA.384G>C variation is novel and was located in the 3' untranslated region, and cDNA.42G>A variation is reported for the first time related to male infertility and was found in 5' untranslated regions. Bioinformatics analysis showed that the minimum free energy was increased from -19.9kcal/mol to -13.1kcal/mol due to the cDNA.384G>C variation at hsa-miR-4326's seed site. More analysis revealed cDNA.42G>A located in transcription factors binding site, E1 and MYOD, which was detected as a promoter-associated region, and generally have regulatory features for acetylation and methylation. In conclusion, two pathogenic variations were recognised in regulatory areas of PRM1 gene, which might interfere with some critical factors related to PRM1 gene expression, hence cause male infertility.

Evaluation of the association between polymorphisms of PRM1 and PRM2 and the risk of male infertility: a systematic review, meta-analysis, and meta-regression

Studies have reported the genetic gives rise to male infertility. The aim of the present meta-analysis was to evaluate the association between PRM1 (rs737008 and rs2301365) and PRM2 (rs1646022 and rs2070923) polymorphisms and susceptibility to male infertility. The association between PRM1 and PRM2 polymorphisms and the risk of male infertility was evaluated using specific search terms in the Web of Science, Cochrane Library, PubMed, and Scopus databases without language restriction until January 28, 2020. The association was determined by odds ratio (OR) and 95% confidence interval (CI) on five genetic models using Review Manager 5.3 software. The funnel plot analysis and sensitivity analysis were done by the Comprehensive Meta-analysis 2.0 software. Out of 261 records retrieved from the databases, 17 studies were analyzed in the meta-analysis, including the four PRM polymorphisms. The pooled results as OR (P-value) showed 0.96 (0.44), 1.04 (0.70), 0.94 (0.51), 0.94 (0.48), and 1.03 (0.72) for PRM1 rs737008 polymorphism and 1.67 (0.0007), 1.73 (0.06), 1.50 (0.007), 1.56 (0.004), and 1.62 (0.33) for PRM1 rs2301365 polymorphism in allele, homozygous, heterozygous, recessive, and dominant models, respectively. Moreover, the pooled results as OR (P-value) showed 1.19 (0.004), 1.15 (0.26), 1.08 (0.70), 1.05 (0.76), and 0.98 (0.82) for PRM2 rs1646022 and 0.88 (0.04), 0.84 (0.10), 1.05 (0.81), 0.90 (0.24), and 0.80 (0.02) for PRM2 rs2070923 in allele, homozygous, heterozygous, recessive, and dominant models, respectively. The results showed PRM1 rs2301365 and PRM2 rs1646022 polymorphisms were associated with an elevated risk of male infertility and PRM2 rs2070923 polymorphism had a protective role in infertile men.