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Related Concept Videos

Infertility in Males01:23

Infertility in Males

235
Male infertility affects millions of couples worldwide, arising from various factors that impact different stages of the reproductive process. An endocrine imbalance resulting from conditions like hypogonadism, Klinefelter syndrome, or pituitary disorders can disrupt hormone levels and reduce sperm production. Testicular defects, such as tumors, cryptorchidism, atrophic testes, abnormal sperm morphology, and low sperm count or motility, may arise due to genetic factors, structural...
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Spermatogenesis01:41

Spermatogenesis

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Spermatogenesis is the process by which haploid sperm cells are produced in the male testes. It starts with stem cells located close to the outer rim of seminiferous tubules. These spermatogonial stem cells divide asymmetrically to give rise to additional stem cells (meaning that these structures “self-renew”), as well as sperm progenitors, called spermatocytes. Importantly, this method of asymmetric mitotic division maintains a population of spermatogonial stem cells in the male...
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Sex-linked Disorders01:43

Sex-linked Disorders

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Like autosomes, sex chromosomes contain a variety of genes necessary for normal body function. When a mutation in one of these genes results in biological deficits, the disorder is considered sex-linked.
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Testing a Claim about Mean: Known Population SD01:11

Testing a Claim about Mean: Known Population SD

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A complete procedure of testing the hypothesis about a population mean is explained here.
Estimating a population mean requires the samples to be distributed normally. The data should be collected from the randomly selected samples having no sampling bias. The sample size needed to be higher than 30, and most importantly, the population standard deviation should be already known.
In most realistic situations, the population standard deviation is often unknown, but in rare circumstances, when it...
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Testing a Claim about Population Proportion01:24

Testing a Claim about Population Proportion

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A complete procedure for testing a claim about a population proportion is provided here.
There are two methods of testing a claim about a population proportion: (1) Using the sample proportion from the data where a binomial distribution is approximated to the normal distribution and (2) Using the binomial probabilities calculated from the data.
The first method uses normal distribution as an approximation to the binomial distribution. The requirements are as follows: sample size is large...
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Infertility in Females01:28

Infertility in Females

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Female infertility is defined as the inability to conceive after a year of regular, unprotected intercourse and affects about 10–15% of couples worldwide. The primary cause of female infertility is ovulatory disorders, which hinder the release of eggs. These disorders can be classified as hypothalamic amenorrhea, polycystic ovarian syndrome (PCOS), premature ovarian failure, and hyperprolactinemic anovulation disorders.
Endometriosis, a condition characterized by abnormal growth of...
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Related Experiment Video

Updated: May 28, 2025

Author Spotlight: Studying the Impact of Maternal Dietary Deficiencies on Long-Term Offspring Health Outcomes
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Evaluating the Impact of Folate on Male Infertility Using Mendelian Randomization: A Comprehensive Analysis.

Weizhuo Wang1, Kang Chen2, Yi Yu3

  • 1Center for Reproductive Medicine, The Second Affiliated Hospital of Soochow University, Suzhou, China.

The World Journal of Men'S Health
|February 13, 2025
PubMed
Summary

Folate supplementation may protect against male infertility, though serum folate levels show no direct causal link. Specific genes, SERPINE1 and LDLR, are implicated in folate metabolism

Keywords:
Folic acidGenome-wide association studyInfertility, maleMendelian randomization analysis

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Area of Science:

  • Reproductive biology and genetics
  • Nutritional science
  • Statistical genetics

Background:

  • Male infertility incidence is rising globally.
  • Clinical decisions regarding folic acid supplementation for male infertility lack robust evidence.
  • Mendelian randomization (MR) offers a method to investigate causal relationships.

Purpose of the Study:

  • To assess the causal effect of folate levels and supplementation on male infertility risk.
  • To identify potential genetic factors in folate metabolism influencing male infertility.

Main Methods:

  • Two-sample bidirectional Mendelian randomization (MR) analysis using large-scale genetic data.
  • Utilized folate and male infertility genome-wide association study (GWAS) data.
  • Employed multiple MR methods (IVW, MR-Egger) and sensitivity analyses (MR-PRESSO).

Main Results:

  • No causal link found between serum folate levels and male infertility.
  • Folate supplementation demonstrated a protective effect against male infertility.
  • SERPINE1 and LDLR identified as potential causal genes in folate metabolism relevant to male infertility.

Conclusions:

  • Folate supplementation acts as a protective factor for male fertility.
  • SERPINE1 and LDLR are suggested as key genes in folate metabolism impacting male infertility.