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Objective: To investigate the combined effects of patatin-like phospholipase domain containing 3 (PNPLA3) rs738409 (C > G) and uridine diphosphate glucuronosyltransferase 1A1 (UGT1A1) rs10929303 (C > T) on nonalcoholic fatty liver disease (NAFLD) in children and adolescents so as to provide scientific evidence for NAFLD genetic research. Methods: 1 027 children and adolescents aged 7-18 were selected as the research subjects. The general situation, past medical history, height and body weight measurements, and B- mode ultrasound test of the liver were investigated by dedicated full-time personnel. In addition, the morning fasting venous blood was collected to measure the blood biochemical indicators. DNA was extracted and genotyped for PNPLA3 rs738409 and UGT1A1 rs10929303. Logistic regression analysis was used to analyze the association and combined effect of the two gene polymorphisms and NAFLD. Statistical analysis was performed by t-test, Mann-Whitney U test, or c2 test according to different data. Results: The GG genotype of PNPLA3 rs738409 and the CC genotype of UGT1A1 rs10929303 were associated with an increased risk of developing NAFLD in children by 89% (OR = 1.89, 95% CI: 1.11-3.23, P = 0.019) and 96% (OR = 1.96, 95% CI: 1.21-3.17, P = 0.006), respectively, while the concurrent risk of NAFLD in those who carried the above two genotypes increased by 306% compared with those who did not carry both genotypes (OR = 4.06, 95% CI: 1.90 ~ 8.66, P < 0.001). Conclusion: The combined effect of PNPLA3 and UGT1A1 gene polymorphisms can significantly increase the risk of NAFLD in children, providing new evidence for elucidating the genetic susceptibility to NAFLD.
ABSTRACT
OBJECTIVE@#To explore the association between rs2587552 polymorphism (has a strong lin-kage disequilibrium with rs1800497 which had been found in many studies to be related to obesity, r2=0.85) of DRD2 gene and the effect of a childhood obesity intervention in Chinese population, and provide a scientific basis for future personalized childhood obesity intervention based on genetic background.@*METHODS@#From a multi-center cluster randomized controlled trial studying the effect of a childhood obesity intervention, we enrolled 382 children from 8 primary schools (192 and 190 children from intervention and control groups, respectively) in Beijing as study subjects. Saliva was collected and DNA was extracted to detect the rs2587552 polymorphism of DRD2 gene, and the interactions between the gene and study arms on childhood obesity indicators [including body weight, body mass index (BMI), BMI Z-score, waist circumference, hip circumference, waist-to-hip ratio, waist-to-height ratio, and body fat percentage] were analyzed.@*RESULTS@#No association was found between rs2587552 polymorphism and the changes in hip circumference or body fat percentage in the intervention group (P>0.05). However, in the control group, children carrying the A allele at DRD2 rs2587552 locus showed a greater increase in hip circumference and body fat percentage compared with those not carrying A allele (P < 0.001). There were interactions between rs2587552 polymorphism of DRD2 gene and study arms on the changes in hip circumference and body fat percentage (P=0.007 and 0.015, respectively). Compared with the control group, children in the intervention group carrying the A allele at DRD2 rs2587552 locus showed decrease in hip circumference by (-1.30 cm, 95%CI: -2.25 to -0.35, P=0.007) and decrease in body fat percentage by (-1.34%, 95%CI: -2.42 to -0.27, P=0.015) compared with those not carrying A allele. The results were consistent between the dominant model and the additive model (hip circumfe-rence: -0.66 cm, 95%CI: -1.28 to -0.03, P=0.041; body fat percentage: -0.69%, 95%CI: -1.40 to 0.02, P=0.056). No interaction was found between rs2587552 polymorphism and study arms on the changes in other childhood obesity-related indicators (P>0.05).@*CONCLUSION@#Children carrying the A allele at rs2587552 polymorphism of DRD2 gene are more sensitive to intervention and showed more improvement in hip circumference and body fat percentage after the intervention, suggesting that future personalized childhood obesity lifestyle intervention can be carried out based on the rs2587552 polymorphism of DRD2 gene.
Subject(s)
Humans , Child , Pediatric Obesity/therapy , Prospective Studies , Polymorphism, Genetic , Body Mass Index , Waist Circumference , Receptors, Dopamine D2/geneticsABSTRACT
<p><b>OBJECTIVE</b>To screen the coding region of melanocortin-4 receptor gene (MC4R) for mutations in children, analyze the association of the identified variants with obesity-related phenotypes, and predict the potential functions of the identified variants.</p><p><b>METHODS</b>A case-control study was conducted in 160 severely obese children and 100 normal-weight controls, all aged 7-18 years. Their anthropometric data were collected and blood tests were performed. The coding region of MC4R gene was screened by polymerase chain reaction (PCR), single strand conformation polymorphism and sequencing, and the potential functions of the identified variants were predicted by related online databases.</p><p><b>RESULTS</b>Three heterozygous missense mutations were identified in obese children (Val95Ile, Val166Ile and Val179Ala), and one heterozygous missense mutation was found in controls (Met218Thr). Val103Ile variant was found to be carried by seven subjects in the obese group and six in the control group (P>0.05). Val179Ala was a newly identified heterozygous mutation. No significant differences in BMI, weight, waist circumstance, hip circumstance, serum lipid parameters, fasting glucose, and body fat percentage were found between Val95Ile, Val166Ile or Val179Ala mutation carriers and non-carriers in obese children. The function prediction of the variants showed that all the five identified variants influenced the protein function.</p><p><b>CONCLUSIONS</b>Five variants were identified in the coding region of MC4R gene, among which Val179Ala was newly identified. All the five variants might influence the protein function as evidenced by online prediction.</p>