Association of insulin signaling pathway -related gene polymorphisms and gene -gene interactions with MAFLD in obese children.
10.11817/j.issn.1672-7347.2023.220295
- Author:
Xiang XIAO
1
;
Junxia YAN
2
;
Ning'an XU
3
;
Rutong KANG
3
;
Jiayou LUO
4
;
Yan ZHONG
3
Author Information
1. Department of Maternal and Child Health, Xiangya School of Public Health, Central South University, Changsha 410078. 2428912621@qq.com.
2. Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha 410078.
3. Child Health Centre, Hunan Children's Hospital, Changsha 410007, China.
4. Department of Maternal and Child Health, Xiangya School of Public Health, Central South University, Changsha 410078. jiayouluo@126.com.
- Publication Type:Journal Article
- Keywords:
gene polymorphism;
insulin signaling pathway;
interaction effects;
metabolic associated fatty liver disease;
obese children
- MeSH:
Child;
Infant, Newborn;
Humans;
Female;
Pediatric Obesity/genetics*;
Sterol Regulatory Element Binding Protein 1;
Premature Birth;
Non-alcoholic Fatty Liver Disease;
Signal Transduction/genetics*;
Insulins
- From:
Journal of Central South University(Medical Sciences)
2023;48(4):516-525
- CountryChina
- Language:English
-
Abstract:
OBJECTIVES:Insulin signaling pathway plays an important role in metabolic associated fatty liver disease (MAFLD), however, the association between polymorphisms of genes related to insulin signaling pathway and MAFLD remains unclear. This study aims to investigate the association between insulin signaling pathway-related gene polymorphisms and gene-gene interactions with MAFLD susceptibility in obese children so as to provide scientific basis for further study of genetic mechanism.
METHODS:A total of 502 obese children with MAFLD who admitted to Hunan Provincial Children's Hospital from September 2019 to October 2021, were recruited as a case group, and 421 obese children with non-MAFLD admitted during the same period were recruited as a control group. Socio-demographic information, preterm birth history, eating habits, and exercise status of the subjects were collected by inquiry survey, and anthropometric information was collected by physical measurement. At the same time, 2 mL of venous blood was collected to extract DNA, and the polymorphism of insulin signaling pathway-related genes (5 representative candidate genes, 12 variants) was detected. Multivariate Logistic regression analysis was used to investigate the association between insulin signaling pathway-related gene polymorphisms and MAFLD in obese children.
RESULTS:After adjusting for confounder factors, INS rs3842748 was significantly associated with the risk of MAFLD in obese children in allele, heterozygous, and dominant models [OR and 95% CI 1.749 (1.053 to 2.905), 1.909 (1.115 to 3.267), 1.862 (1.098 to 3.157), all P<0.05]; INS rs3842752 was significantly associated with the risk of MAFLD in obese children in heterozygous and dominant models [OR and 95% CI 1.736 (1.028 to 2.932), 1.700 (1.015 to 2.846), all P<0.05]. NR1H3 rs3758674 was significantly correlated with the risk of MAFLD in obese children in allele model [OR and 95% CI 0.716 (0.514 to 0.997), P<0.05]. SREBP-1c rs2297508 was significantly associated with the risk of MAFLD in obese children in allele and dominant models [OR and 95% CI 0.772 (0.602 to 0.991) and 0.743 (0.557 to 0.991), all P<0.05]. SREBP-1c rs8066560 was significantly associated with the risk of MAFLD in obese children in allele, heterozygous, and dominant models [OR and 95% CI 0.759 (0.589 to 0.980), 0.733 (0.541 to 0.992), 0.727 (0.543 to 0.974), all P<0.05]. NR1H3 rs3758674 mutant C and SREBP-1c rs2297508 mutant G had interaction in the development of MAFLD in obese children [OR and 95% CI 0.407 (0.173 to 0.954), P<0.05].
CONCLUSIONS:The INS, NR1H3, and SREBP-1c gene polymorphisms in the insulin signaling pathway are associated with the susceptibility of MAFLD in obese children, but the functions and mechanisms of these genes need to be further studied.
