Gomes Torres Ana Cláudia M B, Leite Neiva, Souza Ricardo Lehtonen Rodrigues de, Pizzi Juliana, Milano-Gai Gerusa Eisfeld, Lazarotto Leilane, Tureck Luciane Viater, Furtado-Alle Lupe
Universidade Federal do Paraná (UFPR), Departamento de Genética, Laboratório de Polimorfismos e Ligação, Curitiba, PR, Brazil.
Universidade Federal do Paraná (UFPR), Departamento de Educação Física, Curitiba, PR, Brazil.
Genet Mol Biol. 2024 Nov 22;47(4):e20230211. doi: 10.1590/1678-4685-GMB-2023-0211. eCollection 2024.
The expansion of adipose tissue, characteristic of obesity, releases inflammatory cytokines, leading to metabolic disorders. Physical activity, on the other hand, promotes fat loss and changes inflammatory profile. This study aimed to investigate the associations of 20 gene variants (TLR2, TLR4, IL1B, IL6, NFKB1, TNF, NFKBIA, NLRC4, CARD8 and NEK7) with anthropometric and biochemical changes induced by physical exercise programs. Thus, 58 children and adolescents participated of the 12-week exercise programs. Parameters were collected before and after programs: body mass index, body fat percentage, LDL-C, HDL-C, triglycerides, total cholesterol, insulin, glucose, HOMA-IR and QUICKI. Changes in these parameters were calculated (final - initial measurements) for subsequent analyses. Linear regression analyses were performed to investigate associations between genotypes and changes in the analyzed parameters. We found associations between 14 variants in nine genes with anthropometrical and biochemical outcomes. Observing the distribution of the sample, the groups of individuals who responded less in relation to body fat and TG levels concentrated the highest scores of polygenic indexes as a result of a greater number of risk variants. In conclusion, some genotypes related to the inflammatory profile provided less favorable anthropometrical and biochemical outcomes in response to physical exercise programs.
肥胖的特征是脂肪组织扩张，会释放炎性细胞因子，导致代谢紊乱。另一方面，体育活动可促进脂肪减少并改变炎症特征。本研究旨在调查20种基因变异（TLR2、TLR4、IL1B、IL6、NFKB1、TNF、NFKBIA、NLRC4、CARD8和NEK7）与体育锻炼计划引起的人体测量和生化变化之间的关联。因此，58名儿童和青少年参与了为期12周的锻炼计划。在计划前后收集参数：体重指数、体脂百分比、低密度脂蛋白胆固醇、高密度脂蛋白胆固醇、甘油三酯、总胆固醇、胰岛素、葡萄糖、胰岛素抵抗稳态模型评估（HOMA-IR）和定量胰岛素敏感性检查指数（QUICKI）。计算这些参数的变化（最终测量值-初始测量值）用于后续分析。进行线性回归分析以研究基因型与分析参数变化之间的关联。我们发现九个基因中的14个变异与人体测量和生化结果之间存在关联。观察样本分布，由于存在更多风险变异，在体脂和甘油三酯水平方面反应较小的个体组聚集了最高的多基因指数分数。总之，一些与炎症特征相关的基因型在体育锻炼计划后产生的人体测量和生化结果不太理想。
