Vatche and Tamar Manoukian Division of Digestive Diseases, David Geffen School of Medicine, University of California, Los Angeles, USA.
David Geffen School of Medicine, Goodman-Luskin Microbiome Center, University of California, Los Angeles, USA.
Curr Obes Rep. 2023 Jun;12(2):163-174. doi: 10.1007/s13679-023-00498-0. Epub 2023 Mar 18.
To summarize the results of adult obesity neuroimaging studies (structural, resting-state, task-based, diffusion tensor imaging) published from 2010, with a focus on the treatment of sex as an important biological variable in the analysis, and identify gaps in sex difference research.
Neuroimaging studies have shown obesity-related changes in brain structure, function, and connectivity. However, relevant factors such as sex are often not considered. We conducted a systematic review and keyword co-occurrence analysis. Literature searches identified 6281 articles, of which 199 met inclusion criteria. Among these, only 26 (13%) considered sex as an important variable in the analysis, directly comparing the sexes (n = 10; 5%) or providing single-sex/disaggregated data (n = 16, 8%); the remaining studies controlled for sex (n = 120, 60%) or did not consider sex in the analysis (n = 53, 27%). Synthesizing sex-based results, obesity-related parameters (e.g., body mass index, waist circumference, obese status) may be generally associated with more robust morphological alterations in men and more robust structural connectivity alterations in women. Additionally, women with obesity generally expressed increased reactivity in affect-related regions, while men with obesity generally expressed increased reactivity in motor-related regions; this was especially true under a fed state. The keyword co-occurrence analysis indicated that sex difference research was especially lacking in intervention studies. Thus, although sex differences in the brain associated with obesity are known to exist, a large proportion of the literature informing the research and treatment strategies of today has not specifically examined sex effects, which is needed to optimize treatment.
目的综述:总结 2010 年以来成人肥胖神经影像学研究(结构、静息态、任务态、弥散张量成像)的结果,重点分析将性别作为重要生物学变量纳入分析的结果,并确定性别差异研究中的空白。
最新发现:神经影像学研究表明肥胖与大脑结构、功能和连接变化有关。然而,相关因素(如性别)往往未被考虑。我们进行了系统回顾和关键词共现分析。文献检索确定了 6281 篇文章,其中 199 篇符合纳入标准。在这些研究中,只有 26 篇(13%)将性别作为分析中的一个重要变量,直接比较了性别(n=10;5%)或提供了单性别/分解数据(n=16,8%);其余研究控制了性别(n=120,60%)或未在分析中考虑性别(n=53,27%)。综合基于性别的结果,肥胖相关参数(如体重指数、腰围、肥胖状况)可能与男性更显著的形态改变和女性更显著的结构连接改变相关。此外,肥胖女性的情绪相关区域通常表现出更强的反应性,而肥胖男性的运动相关区域通常表现出更强的反应性;这在进食状态下尤其如此。关键词共现分析表明,干预研究中尤其缺乏性别差异研究。因此,尽管已知肥胖与大脑相关的性别差异存在,但大部分文献为今天的研究和治疗策略提供信息,并未特别检查性别效应,这是优化治疗所必需的。