Muscle Health Patterns and Brain MRI Indices: A Cluster Analysis.
Muscle Health Patterns and Brain MRI Indices: A Cluster Analysis.
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DOI：
10.1093/geroni/igac073
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发表时间：
2023
影响因子：
7
通讯作者：
Chen, Wei-Liang
中科院分区：
文献类型：
--
作者：
Wu, Shou-En;Chen, Wei-Liang
肌肉和大脑之间的相互作用缺乏一个整体的方法来评估多个因素的综合影响。本研究利用聚类分析来识别肌肉健康模式及其与各种脑磁共振成像（MRI）指标的关系。275名认知完整的参与者参加了健康，衰老和身体成分研究的脑部MRI。与总灰质体积呈显著相关的肌肉健康相关指标进入聚类分析。随后，通过方差分析和多元线性回归分析检查宏观结构和微观结构MRI指标，以确定与肌肉健康簇的显著相关性。肌肉健康聚类包括6个变量：年龄、骨骼肌质量指数、步态速度、握力、全身脂肪变化和血清瘦素水平。聚类分析得到3个聚类，分别具有肥胖、瘦素抵抗和肌肉减少的特征。显示与群集显著相关的脑MRI指标包括小脑灰质体积（GMV（p <.001），上级额回（p = 0.019），额下回（p = 0.003）、后扣带回（p = 0.021）、小脑蚓部（p = 0.045）以及直回（p <0.001）和颞极（p <0.001）的灰质密度（GMD）。瘦素抵抗组的GMV降低程度最大，而肌肉减少症组的GMD降低程度最大。瘦素抵抗和肌肉减少症人群有较高的神经影像学改变的风险。临床医生应提高对临床环境中脑部MRI结果的认识。由于这些患者大多患有中枢神经系统疾病或其他危重疾病，因此肌肉减少症作为合并症的风险将大大影响预后和医疗护理。
The interplay between muscle and brain lacks a holistic approach to assess the combined effect of multiple factors. This study utilizes clustering analysis to identify muscle health patterns and their relationships with various brain magnetic resonance imaging (MRI) indices. Two hundred and seventy-five cognitively intact participants who completed brain MRI from the Health, Aging, and Body Composition Study were enrolled. Muscle health-related markers that showed significant relationship with total gray matter volume entered the cluster analysis. Subsequently, macrostructural and microstructural MRI indices were examined with analysis of variance and multiple linear regression analysis to determine significant associations with muscle health clusters. The muscle health cluster included 6 variables: age, skeletal muscle mass index, gait speed, handgrip strength, change of total body fat, and serum leptin level. Clustering method produced 3 clusters which had characteristics of obese, leptin-resistant, and sarcopenia, respectively. Brain MRI indices that revealed significant associations with the clusters included gray matter volume (GMV) in cerebellum (p < .001), superior frontal gyrus (p = .019), inferior frontal gyrus (p = .003), posterior cingulum (p = .021), vermis (p = .045), and gray matter density (GMD) in gyrus rectus (p < .001) and temporal pole (p < .001). The leptin-resistant group had most degree of reduction in GMV, whereas the sarcopenia group had most degree of reduction in GMD. The leptin-resistant and sarcopenia populations had higher risk of neuroimaging alterations. Clinicians should raise awareness on the brain MRI findings in clinical settings. Because these patients mostly had central nervous system conditions or other critical illnesses, the risk of sarcopenia as a comorbidity will substantially affect the prognosis and medical care.
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影响因子：
120.7
作者：
Lieb, Wolfgang;Beiser, Alexa S.;Vasan, Ramachandran S.;Tan, Zaldy S.;Au, Rhoda;Harris, Tamara B.;Roubenoff, Ronenn;Auerbach, Sanford;DeCarli, Charles;Wolf, Philip A.;Seshadri, Sudha
通讯作者：
Seshadri, Sudha
影响因子：
0.7
作者：
Satow T;Komuro T;Kobayashi A
通讯作者：
Kobayashi A
影响因子：
4.2
作者：
Erickson KI;Leckie RL;Weinstein AM
通讯作者：
Weinstein AM
DOI：
10.1016/j.jamda.2019.09.001
发表时间：
2019-12-01
影响因子：
7.6
作者：
Nishita, Yukiko;Nakamura, Akinori;Arai, Hidenori
通讯作者：
Arai, Hidenori
白质超强度和灰质体积与认知障碍的老年人的认知相关性。
影响因子：
3.1
作者：
Arvanitakis Z;Fleischman DA;Arfanakis K;Leurgans SE;Barnes LL;Bennett DA
通讯作者：
Bennett DA