Sperm Aneuploidy Rates in Younger and Older Men
Overview
Authors
Affiliations
Background: In order to assess the possible risk of chromosomal abnormalities in offspring from older fathers, we investigated the effects of age on the frequency of chromosomal aneuploidy rates of human sperm.
Methods And Results: Semen samples were collected from 15 men aged <30 years (24.8 +/- 2.4 years) and from eight men aged >60 years (65.3 +/- 3.9 years) from the general population. No significant differences in ejaculate volume, sperm concentration and sperm morphology were found, whereas sperm motility was significantly lower in older men (P = 0.002). For the hormone values, only FSH was significantly elevated in the older men (P = 0.004). Multicolour fluorescence in-situ hybridization was used to determine the aneuploidy frequencies of two autosomes (9 and 18); and of both sex chromosomes using directly labelled satellite DNA probes on decondensed sperm nuclei. A minimum of 8000 sperm per donor and >330 000 sperm in total were evaluated. The disomy rates per analysed chromosomes were 0.1-2.3% in younger men and 0.1-1.8% in older men. The aneuploidy rate determined for both sex chromosomes and for the autosomes 9 and 18 were not significantly different between the age groups.
Conclusions: The results suggest that men of advanced age still wanting to become fathers do not have a significantly higher risk of procreating offspring with chromosomal abnormalities compared with younger men.
Predicting Infertility: How Genetic Variants in Oocyte Spindle Genes Affect Egg Quality.
Biswas L, Schindler K Adv Anat Embryol Cell Biol. 2024; 238:1-22.
PMID: 39030352 DOI: 10.1007/978-3-031-55163-5_1.
du Fosse N, van der Hoorn M, van Lith J, le Cessie S, Lashley E Hum Reprod Update. 2020; 26(5):650-669.
PMID: 32358607 PMC: 7456349. DOI: 10.1093/humupd/dmaa010.
Reproductive genetics and the aging male.
Yatsenko A, Turek P J Assist Reprod Genet. 2018; 35(6):933-941.
PMID: 29524155 PMC: 6030011. DOI: 10.1007/s10815-018-1148-y.
Evidence for decreasing sperm count in African population from 1965 to 2015.
Sengupta P, Nwagha U, Dutta S, Krajewska-Kulak E, Izuka E Afr Health Sci. 2017; 17(2):418-427.
PMID: 29062337 PMC: 5637027. DOI: 10.4314/ahs.v17i2.16.
Temporal trends in sperm count: a systematic review and meta-regression analysis.
Levine H, Jorgensen N, Martino-Andrade A, Mendiola J, Weksler-Derri D, Mindlis I Hum Reprod Update. 2017; 23(6):646-659.
PMID: 28981654 PMC: 6455044. DOI: 10.1093/humupd/dmx022.