Suppr超能文献

同卵双胞胎中体重指数不一致者的大脑结构差异。

Brain structural differences in monozygotic twins discordant for body mass index.

机构信息

Department of Neurology, University of Leipzig, Germany.

Department of Neurology, University of Leipzig, Germany.

出版信息

Neuroimage. 2019 Nov 1;201:116006. doi: 10.1016/j.neuroimage.2019.07.019. Epub 2019 Jul 9.

Abstract

BACKGROUND

Substantial efforts have been made to investigate the neurobiological underpinnings of human obesity with a number of studies indicating a profound influence of increased body weight on brain structure. Although body weight is known to be highly heritable, uncertainty remains regarding the respective contribution of genetic and environmental influences.

METHODS

In this study we used structural magnetic resonance imaging (MRI) data from the Human Connectome Project (HCP). Voxel-based morphometry (VBM) was applied to study BMI-associated differences in gray matter volume (GMV) within monozygotic (MZ) twin pairs discordant for BMI (ΔBMI ​> ​2.5 ​kg*m, n = 68 pairs). In addition, we investigated the relationship of ΔBMI (entire range) with GMV differences within the entire sample of MZ twin pairs (n = 153 pairs).

RESULTS

Analyses of BMI discordant twin pairs yielded less GMV in heavier twin siblings (p < 0.05 FWE; paired t-Test) within the occipital and cerebellar cortex, the prefrontal cortex and the bilateral striatum including the nucleus accumbens. A highly converging pattern was found in regression analyses across the entire sample of MZ twin pairs, with ΔBMI being associated with less GMV in heavier MZ twins.

CONCLUSION

While MZ twins share the same genetic background, our findings indicate that non-genetic influences and the mere presence of a higher BMI constitute relevant factors in the context of body weight related structural brain alterations.

摘要

背景

人们已经做出了大量努力来研究人类肥胖的神经生物学基础,有许多研究表明体重增加对大脑结构有深远的影响。尽管体重的遗传性很强,但遗传和环境因素的各自贡献仍存在不确定性。

方法

在这项研究中,我们使用了人类连接组计划(HCP)的结构磁共振成像(MRI)数据。体素基形态测量学(VBM)用于研究 BMI 相关的灰质体积(GMV)差异,这些差异存在于 BMI 不一致的同卵双胞胎(MZ)对中(ΔBMI > 2.5 kg*m,n=68 对)。此外,我们还研究了整个 MZ 双胞胎样本中ΔBMI(整个范围)与 GMV 差异的关系(n=153 对)。

结果

对 BMI 不一致的双胞胎进行分析,发现体重较重的双胞胎的枕叶和小脑皮质、前额叶皮层和双侧纹状体(包括伏隔核)中的 GMV 较少(p<0.05 FWE;配对 t 检验)。在整个 MZ 双胞胎样本的回归分析中发现了高度一致的模式,ΔBMI 与较重的 MZ 双胞胎的 GMV 减少有关。

结论

虽然 MZ 双胞胎具有相同的遗传背景,但我们的研究结果表明,非遗传因素和仅仅存在更高的 BMI 是与体重相关的结构大脑改变有关的相关因素。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验