Biological mechanism of sex differences in mental rotation: Evidence from multimodal MRI, transcriptomic and receptor/transporter data.

IF 4.7 2区 医学 Q1 NEUROIMAGING
Haixia Long, Hao Wu, Chaoliang Sun, Xinli Xu, Xu-Hua Yang, Jie Xiao, Mingqi Lv, Qiuju Chen, Ming Fan
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引用次数: 0

Abstract

Sex differences in mental rotation are a well-documented phenomenon in cognitive research, with implications for the differing prevalence of neuropsychiatric disorders such as autism spectrum disorder (ASD), Alzheimer's disease (AD) and major depressive disorder (MDD) between the sexes. Despite extensive documentation, the biological mechanism underpinning these differences remain elusive. This study aimed to elucidate neural, genetic, and molecular bases of these disparities in mental rotation by integrating data from multimodal magnetic resonance imaging (MRI), transcriptomic and receptor/transporter. We first calculated the dynamic regional homogeneity (dReHo), gray matter volume (GMV) and fractional anisotropy (FA) in voxel-wise manner and parceled them into 246 brain regions based on Brainnetome Atlas. Subsequent analyses involved Pearson Correlations to examine the association between mental rotation performance and dReHo/GMV/FA and two-sample t-tests to delineate gender differences in these indices. Based on the above results, further mediation analysis was conducted to explore the relationship between sex, brain biomarkers and mental rotation. In addition, transcriptome-neuroimaging association analysis and correlation analysis between brain biomarkers and neurotransmitter receptor/transporter distribution were also performed to uncover genetic and molecular mechanisms contributing to the observed sex differences in mental rotation. We found correlations between mental rotation performance and dReHo, GMV and FA of the inferior parietal lobule (IPL) and superior temporal gyrus (STG) and sex effects on these brain biomarkers. Notably, the dReHo of the left IPL mediated the relationship between sex and mental rotation. Further correlation analysis revealed that the proton-coupled oligopeptide transporter PEPT2 (SLC15A2) and interleukin 17 receptor D (IL17RD) were associated with sex-related t-statistic maps and mental rotation-related r-statistic maps of dReHo. Moreover, γ-aminobutyric acid subtype A (GABAA) receptor availability was correlated with the r-statistic of dReHo, while norepinephrine transporter (NET) availability was correlated with its t-statistic. Serial mediation models revealed the indirect effect of these genes on the r-statistic maps through the transporter/receptor and t-statistic maps. Our findings provide novel insights into the biological mechanism underlying sex differences in mental rotation, identifying potential biomarkers for cognitive impairment and explaining variations in prevalence of certain mental disorders between the sexes. These results highlight the necessity of considering sex in research on mental health disorders.

智力旋转中性别差异的生物机制:来自多模态核磁共振成像、转录组和受体/转运体数据的证据。
智力旋转中的性别差异是认知研究中一个有据可查的现象,它对自闭症谱系障碍(ASD)、阿尔茨海默病(AD)和重度抑郁症(MDD)等神经精神疾病在两性之间的不同患病率产生了影响。尽管有大量的文献记载,但这些差异的生物机制仍然难以捉摸。本研究旨在通过整合多模态磁共振成像(MRI)、转录组和受体/转运体的数据,阐明这些智力旋转差异的神经、遗传和分子基础。我们首先以体素为单位计算了动态区域同质性(dReHo)、灰质体积(GMV)和分数各向异性(FA),并根据脑神经组图谱(Brainetome Atlas)将其划分为 246 个脑区。随后的分析包括皮尔逊相关分析和双样本t检验,前者用于检验心理旋转表现与dReHo/GMV/FA之间的关联,后者用于划分这些指数的性别差异。根据上述结果,我们进一步进行了中介分析,以探讨性别、大脑生物标志物和心理旋转之间的关系。此外,我们还进行了转录组-神经影像关联分析以及脑生物标志物与神经递质受体/转运体分布之间的相关分析,以揭示导致所观察到的智力旋转性别差异的遗传和分子机制。我们发现心理旋转能力与顶叶下叶(IPL)和颞上回(STG)的dReHo、GMV和FA之间存在相关性,而且这些脑生物标志物也存在性别效应。值得注意的是,左侧顶叶的dReHo介导了性别与心智旋转之间的关系。进一步的相关分析表明,质子偶联寡肽转运体PEPT2(SLC15A2)和白细胞介素17受体D(IL17RD)与dReHo的性别相关t统计图和心理旋转相关r统计图相关。此外,γ-氨基丁酸亚型 A(GABAA)受体的可用性与 dReHo 的 r 统计量相关,而去甲肾上腺素转运体(NET)的可用性与其 t 统计量相关。序列中介模型揭示了这些基因通过转运体/受体和 t 统计图谱对 r 统计图谱的间接影响。我们的研究结果为了解精神旋转中性别差异的生物学机制提供了新的视角,确定了认知障碍的潜在生物标志物,并解释了某些精神障碍在性别间流行率的差异。这些结果凸显了在精神疾病研究中考虑性别因素的必要性。
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来源期刊
NeuroImage
NeuroImage 医学-核医学
CiteScore
11.30
自引率
10.50%
发文量
809
审稿时长
63 days
期刊介绍: NeuroImage, a Journal of Brain Function provides a vehicle for communicating important advances in acquiring, analyzing, and modelling neuroimaging data and in applying these techniques to the study of structure-function and brain-behavior relationships. Though the emphasis is on the macroscopic level of human brain organization, meso-and microscopic neuroimaging across all species will be considered if informative for understanding the aforementioned relationships.
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