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Association between polymorphisms in the glucose metabolism and lipid regulation genes with metabolic abnormalities in childhood obesity
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Zhiwei XIA1, 2, Zhaolong GONG1, Tingting LIU1, Lu WANG2, Hai ZHAO2, Bingjie SUN2, Yan LI1, Jiyong YIN1, Junsheng HUO*, 1
Chinese Journal of School Health | 2025, 46(6) : 888 - 893
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Chinese Journal of School Health | 2025, 46(6): 888-893
• Disease Control •
Association between polymorphisms in the glucose metabolism and lipid regulation genes with metabolic abnormalities in childhood obesity
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Zhiwei XIA1, 2, Zhaolong GONG1, Tingting LIU1, Lu WANG2, Hai ZHAO2, Bingjie SUN2, Yan LI1, Jiyong YIN1, Junsheng HUO*, 1
Affiliations
  • 1Institute of Nutrition and Health, Chinese Center for Disease Control and Prevention/NHC Key Laboratory of Public Nutrition and Health, Beijing(100050), China
Published: 2025-06-25 doi: 10.16835/j.cnki.1000-9817.2025172
Outline
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Objective

To explore the association between CDKAL1 rs35261542, FAIM2 rs3205718, and VGLL4 rs2574704 polymorphisms with childhood obesity and related metabolic phenotypes to provide evidence for personalized prevention and management strategies.

Methods

Based on the 2023 Long-term Nutritional Health Effects of Early Childhood Nutrition Package Intervention project, the study enrolled 1 078 children aged 5-7 years from four counties in Henan (Songxian and Ruyang countries) and Guizhou (Guiding and Fuquan countries) provinces. Using BMI Z-scores, 87 overweight and obese(OVOB) children were selected and matched by sex, age, and BMI Z-score with 117 normal-weight controls. Participants were further stratified into four metabolic phenotype groups: metabolically healthy normal weight (MHNW, n=51), metabolically unhealthy normal weight (MUNW, n=66), metabolically healthy obesity (MHO, n=31) and metabolically unhealthy obesity (MUO, n=56) based on four conventional cardiometabolic risk factor (CR) criteria. Data were collected through questionnaires, anthropometric measurements, serum biochemical tests, and KASP genotyping. The distribution of three genetic polymorphisms (CDKAL1 rs35261542, FAIM2 rs3205718, VGLL4 rs2574704) across metabolic subgroups was analyzed. Multivariate Logistic regression models assessed associations between these polymorphisms and obesity/metabolic phenotypes.

Results

Multivariate Logistic regression analysis showed that Homozygous mutant AA genotype of CDKAL1 rs35261542 was positively associated with OVOB(OR=3.63), MHO (OR=11.04), MUO (OR=4.88) (P < 0.05). Homozygous TT genotype of FAIM2 rs3205718 increased OVOB risk (OR=4.44, P < 0.05) but showed no association with metabolic phenotypes (P>0.05). Homozygous mutant TT of VGLL4 rs2574704 reduced the risks of MHO and MUO (OR=0.30, 0.24, P < 0.05). Cumulative genetic effects analysis demonstrated carriers of 1 or 2 risk genotypes of rs35261542 and rs3205718 had progressively higher OVOB risk (OR=2.53, 20.79), and the combination of rs35261542 and rs2574704 increased risks for both MHO (OR=8.50) and MUO (OR=5.00) (P < 0.05).

Conclusions

The AA genotype of rs35261542 (CDKAL1) positively correlates with childhood obesity and metabolic abnormalities. The TT genotype of rs3205718 (FAIM2) increases obesity risk but not metabolic phenotypes. The TT genotype of rs2574704 (VGLL4) shows protective effects against metabolic dysfunction. Risk genotypes exhibit dose-dependent cumulative effects on obesity and metabolic outcomes.

Child  /  Obesity  /  Genes  /  Metabolic diseases  /  Regression analysis
夏志伟, 宫照龙, 刘婷婷, 王路, 赵海, 孙冰洁, 李岩, 殷继永, 霍军生. 糖代谢及脂肪调控基因多态性与儿童肥胖代谢异常的关联. 中国学校卫生, 2025 , 46 (6) : 888 -893 . DOI: 10.16835/j.cnki.1000-9817.2025172
Zhiwei XIA, Zhaolong GONG, Tingting LIU, Lu WANG, Hai ZHAO, Bingjie SUN, Yan LI, Jiyong YIN, Junsheng HUO. Association between polymorphisms in the glucose metabolism and lipid regulation genes with metabolic abnormalities in childhood obesity[J]. Chinese Journal of School Health, 2025 , 46 (6) : 888 -893 . DOI: 10.16835/j.cnki.1000-9817.2025172
Year 2025 volume 46 Issue 6
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doi: 10.16835/j.cnki.1000-9817.2025172
  • Receive Date:2025-05-07
  • Online Date:2026-11-06
  • Published:2025-06-25
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  • Received:2025-05-07
  • Revised:2025-05-21
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    1Institute of Nutrition and Health, Chinese Center for Disease Control and Prevention/NHC Key Laboratory of Public Nutrition and Health, Beijing(100050), China
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表12种不同金属材料的力学参数
科
Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
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属
Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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