Department of Morphological Sciences, Adelson School of Medicine, Ariel University, Ariel 40700, Israel.
Department of Anatomy and Anthropology, Faculty of Medicine, Tel-Aviv University, Tel-Aviv 69978, Israel.
Biomolecules. 2024 Nov 8;14(11):1426. doi: 10.3390/biom14111426.
In this study, we evaluated the contribution of the putative genetic factors into the established associations between selected circulating adipokine levels, body composition measurements, and low-back-pain-related disability scores (LBP_DS). A total of 1078 individuals from 98 nuclear families (with 1 to 11 siblings per family) were examined. A detailed self-report questionnaire was used to collect LBP disability data; body composition (fat, skeletal muscle mass, and extracellular water (ECW)) was assessed using the bioimpedance method; plasma levels of adipokines were measured by ELISA. Pedigree-based statistical analysis methods were used, including family-based variance component analysis (VCA) and principal phenotype analysis (PPA), to estimate the contribution of potential genetic and environmental factors. The VCA revealed a significant additive genetic component in LBP_DS and for the selected body composition phenotypes and adipokines. The study also revealed that both adipokines (GDF-15, chemerin, and follistatin) and body composition variables (BMI, fat mass/weight, waist circumference, and ECW) were genetically correlated with LBP_DS. Next, PPA generated two synthetic phenotypes: PP (combining cytokines) and PP (combining body composition variables). There was no significant correlation between the putative genetic factors underlying the created PPs. However, each of them displayed a significant genetic correlation with LBP_DS. These findings indicate that genetic factors that are assumingly common for several adipokine variations and several body composition measurements, respectively, presumably have a pleotropic genetic influence on the LBP_DS variation, independently from one another. This, in turn, suggests that the alleged genetic factors employing pleiotropic effects on LBP_DS have a complex and probably non-overlapping composition.
在这项研究中,我们评估了假定的遗传因素对选定的循环脂肪因子水平、身体成分测量值与下背痛相关残疾评分(LBP_DS)之间已建立关联的贡献。共检查了来自 98 个核心家庭的 1078 个人(每个家庭有 1 到 11 个兄弟姐妹)。使用详细的自我报告问卷收集 LBP 残疾数据;使用生物阻抗法评估身体成分(脂肪、骨骼肌量和细胞外液(ECW));通过 ELISA 测量脂肪因子的血浆水平。使用基于家系的统计分析方法,包括基于家系的方差成分分析(VCA)和主要表型分析(PPA),估计潜在遗传和环境因素的贡献。VCA 显示 LBP_DS 以及选定的身体成分表型和脂肪因子具有显著的加性遗传成分。该研究还表明,脂肪因子(GDF-15、chemerin 和 follistatin)和身体成分变量(BMI、脂肪量/体重、腰围和 ECW)与 LBP_DS 具有遗传相关性。接下来,PPA 生成了两个综合表型:PP(结合细胞因子)和 PP(结合身体成分变量)。创建的 PPs 背后的假定遗传因素之间没有显著相关性。然而,它们中的每一个都与 LBP_DS 具有显著的遗传相关性。这些发现表明,分别假定为几种脂肪因子变化和几种身体成分测量值所共有的遗传因素,对 LBP_DS 变化具有多效遗传影响,彼此独立。这反过来表明,据称对 LBP_DS 具有多效遗传影响的遗传因素具有复杂且可能不重叠的组成。