Different associations between body mass index and Alzheimer's markers depending on metabolic health.

IF 7.9 1区 医学 Q1 CLINICAL NEUROLOGY
Eun Hye Lee, Heejin Yoo, Young Ju Kim, Bo Kyoung Cheon, Seungho Ryu, Yoosoo Chang, Jihwan Yun, Hyemin Jang, Jun Pyo Kim, Hee Jin Kim, Seong-Beom Koh, Jee Hyang Jeong, Duk L Na, Sang Won Seo, Sung Hoon Kang
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引用次数: 0

Abstract

Background: Increasing evidence supports the association between body mass index (BMI), Alzheimer's disease, and vascular markers. Recently, metabolically unhealthy conditions have been reported to affect the expression of these markers. We aimed to investigate the effects of BMI status on Alzheimer's and vascular markers in relation to metabolic health status.

Methods: We recruited 1,736 Asians without dementia (71.6 ± 8.0 years). Participants were categorized into underweight, normal weight, or obese groups based on their BMI. Each group was further divided into metabolically healthy (MH) and unhealthy (MU) groups based on the International Diabetes Foundation definition of metabolic syndrome. The main outcome was Aβ positivity, defined as a Centiloid value of 20.0 or above and the presence of vascular markers, defined as severe white matter hyperintensities (WMH). Logistic regression analyses were performed for Aβ positivity and severe WMH with BMI status or interaction terms between BMI and metabolic health status as predictors. Mediation analyses were performed with hippocampal volume (HV) and baseline Mini-Mental State Examination (MMSE) scores as the outcomes, and linear mixed models were performed for longitudinal change in MMSE scores.

Results: Being underweight increased the risk of Aβ positivity (odds ratio [OR] = 2.37, 95% confidence interval [CI] 1.13-4.98), whereas obesity decreased Aβ positivity risk (OR = 0.63, 95% CI 0.50-0.80). Especially, obesity decreased the risk of Aβ positivity (OR = 0.38, 95% CI 0.26-0.56) in the MH group, but not in the MU group. Obesity increased the risk of severe WMH (OR = 1.69, 1.16-2.47). Decreased Aβ positivity mediate the relationship between obesity and higher HV and MMSE scores, particularly in the MH group. Obesity demonstrated a slower decline in MMSE (β = 1.423, p = 0.037) compared to being normal weight, especially in the MH group.

Conclusions: Our findings provide new evidence that metabolic health has a significant effect on the relationship between obesity and Alzheimer's markers, which, in turn, lead to better clinical outcomes.

新陈代谢健康状况不同,体重指数与阿尔茨海默氏症标志物之间的关系也不同。
背景:越来越多的证据表明,体重指数(BMI)、阿尔茨海默病和血管标志物之间存在关联。最近有报道称,新陈代谢不健康会影响这些标志物的表达。我们旨在研究 BMI 状态对阿尔茨海默病和血管标记物的影响与代谢健康状况的关系:我们招募了 1736 名无痴呆症的亚洲人(71.6 ± 8.0 岁)。根据体重指数将参与者分为体重不足组、体重正常组和肥胖组。根据国际糖尿病基金会对代谢综合征的定义,每组又分为代谢健康组(MH)和不健康组(MU)。主要结果是 Aβ 阳性(定义为 Centiloid 值达到或超过 20.0)和血管标记物的存在(定义为严重的白质高密度(WMH))。以 BMI 状态或 BMI 与代谢健康状况之间的交互项为预测因素,对 Aβ 阳性和严重 WMH 进行逻辑回归分析。以海马体积(HV)和基线迷你精神状态检查(MMSE)评分为结果进行了中介分析,并对MMSE评分的纵向变化进行了线性混合模型分析:结果:体重不足会增加 Aβ 阳性的风险(几率比 [OR] = 2.37,95% 置信区间 [CI]:1.13-4.98),而肥胖会降低 Aβ 阳性的风险(OR = 0.63,95% 置信区间 [CI]:0.50-0.80)。特别是,肥胖会降低 MH 组 Aβ 阳性的风险(OR = 0.38,95% CI 0.26-0.56),但不会降低 MU 组 Aβ 阳性的风险。肥胖会增加严重 WMH 的风险(OR = 1.69,1.16-2.47)。Aβ 阳性降低是肥胖与较高 HV 和 MMSE 评分之间关系的中介,尤其是在 MH 组。与体重正常者相比,肥胖者的 MMSE 下降较慢(β = 1.423,p = 0.037),尤其是在 MH 组:我们的研究结果提供了新的证据,证明代谢健康对肥胖与阿尔茨海默氏症标志物之间的关系有显著影响,而肥胖反过来又会带来更好的临床结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Alzheimer's Research & Therapy
Alzheimer's Research & Therapy 医学-神经病学
CiteScore
13.10
自引率
3.30%
发文量
172
审稿时长
>12 weeks
期刊介绍: Alzheimer's Research & Therapy is an international peer-reviewed journal that focuses on translational research into Alzheimer's disease and other neurodegenerative diseases. It publishes open-access basic research, clinical trials, drug discovery and development studies, and epidemiologic studies. The journal also includes reviews, viewpoints, commentaries, debates, and reports. All articles published in Alzheimer's Research & Therapy are included in several reputable databases such as CAS, Current contents, DOAJ, Embase, Journal Citation Reports/Science Edition, MEDLINE, PubMed, PubMed Central, Science Citation Index Expanded (Web of Science) and Scopus.
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