Shilna Azhuvalappil , Raghav Prasad , Pravin Sahadevan , Priya Chatterjee , Hitesh Pradhan , Pooja Rai , Anant Gupta , Reddy Peera Kommaddi , Thomas G. Issac , Jonas S. Sundarakumar
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Sundarakumar","doi":"10.1016/j.metop.2024.100301","DOIUrl":null,"url":null,"abstract":"<div><h3>Background</h3><p>This study examines the association between apolipoprotein E (APOE) genotypes and metabolic syndrome (MetS) in an older urban population in South India, as part of the Tata Longitudinal Study on Aging.</p></div><div><h3>Methods</h3><p>A total of 618 participants aged 45 and above were analyzed cross-sectionally for the association between APOE carrier status and MetS (based on both NCEP ATP III and Consensus criteria).</p></div><div><h3>Results</h3><p>Despite the high prevalence of MetS observed in this cohort (51.62 % by NCEP-ATP III and 61.33 % by Consensus criteria), multivariable logistic regression revealed no significant association between APOE genotypes and MetS under both criteria. 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引用次数: 0
摘要
背景本研究是塔塔老龄化纵向研究（Tata Longitudinal Study on Aging）的一部分，探讨了印度南部城市老年人群中载脂蛋白 E（APOE）基因型与代谢综合征（MetS）之间的关系。方法对 618 名 45 岁及以上的参与者进行横截面分析，以确定载脂蛋白 E 携带者状态与代谢综合征之间的关系（基于 NCEP ATP III 和共识标准）。结果尽管在该队列中观察到 MetS 患病率很高（根据 NCEP-ATP III 标准为 51.62%，根据共识标准为 61.33%），但多变量逻辑回归显示，在两种标准下，APOE 基因型与 MetS 之间均无显著关联。然而，在年龄和性别分层分析中发现了特殊的关联；值得注意的是，60 岁以下的 E2 携带者腰围增加的几率降低了 0.42 倍（95%CI:0.20,0.89, p-value-0.023），60 岁以上的 E4 携带者腰围增加的几率增加了 1.85 倍（95%CI:1.04,3.28, p-value<0.05）。这些研究结果表明，虽然 APOE 基因型会影响某些代谢参数，但在城市环境中，它们对 MetS 的影响可能有限，可能会被环境因素和生活方式的影响所掩盖，这一点在其姊妹农村队列中的差异也很突出。
Association between APOE genotypes and metabolic syndrome in a middle aged and elderly Urban South Indian population
Background
This study examines the association between apolipoprotein E (APOE) genotypes and metabolic syndrome (MetS) in an older urban population in South India, as part of the Tata Longitudinal Study on Aging.
Methods
A total of 618 participants aged 45 and above were analyzed cross-sectionally for the association between APOE carrier status and MetS (based on both NCEP ATP III and Consensus criteria).
Results
Despite the high prevalence of MetS observed in this cohort (51.62 % by NCEP-ATP III and 61.33 % by Consensus criteria), multivariable logistic regression revealed no significant association between APOE genotypes and MetS under both criteria. However, specific associations were noted in age and sex-stratified analyses; notably, E2 carriers under 60 showed 0.42-fold decreased odds (95%CI:0.20,0.89, p-value-0.023) for an increased waist circumference, and E4 carriers above 60 were at 1.85 times increased odds (95 % CI:1.04,3.28, p-value<0.05) for decreased HDL.
Conclusion
These findings suggest that while APOE genotypes influence certain metabolic parameters, their impact on MetS may be limited in this urban setting, possibly overshadowed by environmental factors and lifestyle influences, which was highlighted by the differences seen in its sister rural cohort.
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