Microarray gene chip detection results in spontaneous abortion tissues
10.3969/j.issn.1673-4130.2025.19.010
- VernacularTitle:微阵列基因芯片检测自然流产组织结果分析
- Author:
Shaoxia LIANG
1
;
Yanxia ZHANG
;
Jing ZHAO
;
Haixin YANG
;
Fenghua XIE
Author Information
1. 中山市博爱医院产前诊断中心,广东中山 528400
- Keywords:
spontaneous abortion;
chromosomal microarray analysis;
copy number variations;
chro-mosomal microdeletions/microduplications
- From:
International Journal of Laboratory Medicine
2025;46(19):2364-2370,2377
- CountryChina
- Language:Chinese
-
Abstract:
Objective To use chromosome microarray analysis(CMA)technology to detect and analyze spontaneous abortion tissues,and explore the genetic factors that contribute to the occurrence of spontaneous abortion.Methods The abortion tissues of totally 1 038 patients with spontaneous abortion who came to the hospital for treatment from January 1,2019 to December 31,2021 were collected.CMA technology was used to detect the tissues,and the results were analyzed for genetic etiology.Results Among 1 038 cases of spontane-ous abortion patients,901 cases were qualified for sampling and 901 cases were actually tested.There were 443 cases of chromosomal abnormalities and(or)copy number variations(CNV)with unknown significance de-tected by CMA,with an abnormality rate of 49.17％.There were 41 cases of pathogenic CNV,accounting for 9.26％of the total abnormalities.There were statistically significant differences in the total chromosome ab-normality rate(x2=17.37)and chromosome number abnormality rate(x2=26.43)of aborted fetuses among different age groups of pregnant women(P＜0.001).There were statistically significant differences in the to-tal chromosome abnormality rate(x2=19.63)and chromosome number abnormality rate(x2=22.66)of dif-ferent miscarriage tissues during pregnancy(P＜0.001).Conclusion The application of CMA technology to detect the miscarriage tissue of patients with spontaneous abortion can improve the detection rate of chromo-somal abnormalities in miscarriage embryos,discover potential genetic factors,and provide genetic guidance for patients' next pregnancy.
