White Matter Integrity Abnormalities in Healthy Overweight Individuals Revealed by Whole Brain Meta-Analysis of Diffusion Tensor Imaging Studies.

IF 3.8 Q2 ENDOCRINOLOGY & METABOLISM

Journal of Obesity Pub Date : 2023-10-23 eCollection Date: 2023-01-01 DOI:10.1155/2023/7966540

Xiaodong Cheng, Wenchang Wang, Chen Sun, Yana Sun, Cong Zhou

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Abstract

Objective: This study aimed to conduct a coordinate-based meta-analysis (CBMA) to investigate white matter (WM) abnormalities in healthy individuals with overweight or obesity.

Methods: A systematic literature search using Web of Science and PubMed datasets was performed. Original investigations that used diffusion tensor imaging (DTI) to explore fractional anisotropy (FA) differences between healthy overweight/obese individuals and normal weight controls were collected. The meta-analysis was conducted using the seed-based d mapping (SDM) software, employing stringent thresholds for significance. Sensitivity analyses and meta-regression analysis were also performed to examine the robustness of the results and explore potential associations with age and body mass index (BMI).

Results: The analysis included five studies comprising 232 overweight/obese individuals and 219 healthy normal weight controls. The findings showed that overweight/obese individuals exhibited reduced fractional anisotropy (FA) in specific regions, namely, the right superior longitudinal fasciculus (SLF), the splenium of the corpus callosum (CC), and the right median network, cingulum. Meta-regression analysis further revealed that these FA reductions were associated with age.

Conclusion: These findings provided insights into the potential impact of overweight/obesity on cognition, emotion, and neural functions and highlighted the significance of early prevention and intervention for overweight on the basis of neuroimaging.

Abstract Image

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扩散张量成像研究的全脑荟萃分析揭示了健康超重个体的白质完整性异常。

目的：本研究旨在进行基于坐标的荟萃分析（CBMA），以调查超重或肥胖健康个体的白质（WM）异常。方法：使用Web of Science和PubMed数据集进行系统的文献检索。收集了使用扩散张量成像（DTI）来探索健康超重/肥胖个体与正常体重对照之间的分数各向异性（FA）差异的原始研究。使用基于种子的d映射（SDM）软件进行荟萃分析，采用严格的显著性阈值。还进行了敏感性分析和元回归分析，以检查结果的稳健性，并探索与年龄和体重指数（BMI）的潜在关联。结果：该分析包括五项研究，包括232名超重/肥胖个体和219名健康正常体重对照。研究结果表明，超重/肥胖个体在特定区域，即右侧上纵束（SLF）、胼胝体压部（CC）和右侧正中网络扣带，表现出分数各向异性（FA）降低。荟萃回归分析进一步表明，这些FA降低与年龄有关。结论：这些发现深入了解了超重/肥胖对认知、情绪和神经功能的潜在影响，并强调了在神经影像学基础上早期预防和干预超重的意义。

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

Journal of Obesity ENDOCRINOLOGY & METABOLISM-

CiteScore

7.50

自引率

3.00%

发文量

审稿时长

21 weeks

期刊介绍： Journal of Obesity is a peer-reviewed, Open Access journal that provides a multidisciplinary forum for basic and clinical research as well as applied studies in the areas of adipocyte biology & physiology, lipid metabolism, metabolic syndrome, diabetes, paediatric obesity, genetics, behavioural epidemiology, nutrition & eating disorders, exercise & human physiology, weight control and health risks associated with obesity.