Brain volumes in genetic syndromes associated with mTOR dysregulation: a systematic review and meta-analysis

IF 9.6 1区 医学 Q1 BIOCHEMISTRY & MOLECULAR BIOLOGY Molecular Psychiatry Pub Date : 2024-12-05 DOI:10.1038/s41380-024-02863-4
Jonathan M. Payne, Kristina M. Haebich, Rebecca Mitchell, Kiymet Bozaoglu, Emma Giliberto, Paul J. Lockhart, Alice Maier, Silvia Velasco, Gareth Ball, Kathryn N. North, Darren R. Hocking
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Abstract

Background/objectives

Dysregulation of molecular pathways associated with mechanistic target of rapamycin (mTOR) and elevated rates of neurodevelopmental disorders are implicated in the genetic syndromes neurofibromatosis type 1 (NF1), tuberous sclerosis complex (TSC), fragile X syndrome (FXS), and Noonan syndrome (NS). Given shared molecular and clinical features, understanding convergent and divergent implications of these syndromes on brain development may offer unique insights into disease mechanisms. While an increasing number of studies have examined brain volumes in these syndromes, the effects of each syndrome on global and subcortical brain volumes are unclear. Therefore, the aim of the current study was to conduct a systematic review and meta-analysis to synthesize existing literature on volumetric brain changes across TSC, FXS, NF1, and NS. Study outcomes were the effect sizes of the genetic syndromes on whole brain, gray and white matter, and subcortical volumes compared to typically developing controls.

Subjects/methods

We performed a series of meta-analyses synthesizing data from 23 studies in NF1, TSC, FXS, and NS (pooled N = 1556) reporting whole brain volume, gray and white matter volumes, and volumes of subcortical structures compared to controls.

Results

Meta-analyses revealed significantly larger whole brain volume, gray and white matter volumes, and subcortical volumes in NF1 compared to controls. FXS was associated with increased whole brain, and gray and white matter volumes relative to controls, but effect sizes were smaller than those seen in NF1. In contrast, studies in NS indicated smaller whole brain and gray matter volumes, and reduced subcortical volumes compared to controls. For individuals with TSC, there were no significant differences in whole brain, gray matter, and white volumes compared to controls. Volumetric effect sizes were not moderated by age, sex, or full-scale IQ.

Conclusions

This meta-analysis revealed that dysregulation of mTOR signaling across pre- and post-natal periods of development can result in convergent and divergent consequences for brain volume among genetic syndromes. Further research employing advanced disease modeling techniques with human pluripotent stem cell-derived in vitro models is needed to further refine our understanding of between and within syndrome variability on early brain development and identify shared molecular mechanisms for the development of pharmaceutical interventions.

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与mTOR失调相关的遗传综合征的脑容量:系统回顾和荟萃分析
背景/目的1型神经纤维瘤病(NF1)、结节性硬化症(TSC)、脆性X综合征(FXS)和努南综合征(NS)与雷帕霉素机制靶点(mTOR)相关的分子通路失调和神经发育障碍发生率升高有关。鉴于共同的分子和临床特征,了解这些综合征对大脑发育的趋同和不同影响可能为疾病机制提供独特的见解。虽然越来越多的研究检查了这些综合征的脑容量,但每种综合征对整体和皮层下脑容量的影响尚不清楚。因此,本研究的目的是进行系统回顾和荟萃分析,综合现有关于TSC、FXS、NF1和NS脑容量变化的文献。研究结果是遗传综合征对全脑、灰质和白质以及皮质下体积的影响大小,与典型发育对照组相比。研究对象/方法我们进行了一系列荟萃分析,综合了来自NF1、TSC、FXS和NS的23项研究的数据(汇总N = 1556),报告了与对照组相比的全脑体积、灰质和白质体积以及皮质下结构体积。结果荟萃分析显示,与对照组相比,NF1组的全脑体积、灰质和白质体积以及皮质下体积显著增大。与对照组相比,FXS与全脑、灰质和白质体积的增加有关,但效应值小于NF1。相比之下,NS组的研究表明,与对照组相比,全脑和灰质体积更小,皮质下体积也更小。对于患有TSC的个体,与对照组相比,全脑、灰质和白质体积没有显著差异。体积效应大小不受年龄、性别或全面智商的影响。本荟萃分析显示,mTOR信号在产前和产后发育期间的失调可能导致遗传综合征脑容量的趋同和分化后果。需要采用先进的疾病建模技术和人类多能干细胞衍生的体外模型进行进一步的研究,以进一步完善我们对早期大脑发育之间和内部综合征变异性的理解,并确定开发药物干预的共同分子机制。
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
Molecular Psychiatry
Molecular Psychiatry 医学-精神病学
CiteScore
20.50
自引率
4.50%
发文量
459
审稿时长
4-8 weeks
期刊介绍: Molecular Psychiatry focuses on publishing research that aims to uncover the biological mechanisms behind psychiatric disorders and their treatment. The journal emphasizes studies that bridge pre-clinical and clinical research, covering cellular, molecular, integrative, clinical, imaging, and psychopharmacology levels.
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