Interactive effect of air pollution and genetic risk of depression on processing speed by resting-state functional connectivity of occipitoparietal network

IF 7 1区 医学 Q1 MEDICINE, GENERAL & INTERNAL BMC Medicine Pub Date : 2024-09-13 DOI:10.1186/s12916-024-03614-6
Yuyanan Zhang, Zhe Lu, Yaoyao Sun, Liangkun Guo, Xiao Zhang, Yundan Liao, Zhewei Kang, Xiaoyang Feng, Guorui Zhao, Junyuan Sun, Yang Yang, Hao Yan, Dai Zhang, Weihua Yue
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Abstract

Air pollution, a reversible environmental factor, was significantly associated with the cognitive domains that are impaired in major depressive disorder (MDD), notably processing speed. Limited evidence explores the interactive effect of air pollution and the genetic risk of depression on cognition. This cross-sectional study aims to extend the research by specifically examining how this interaction influences depression-related cognitive impairment and resting-state brain function. Eligible participants were 497 healthy adult volunteers (48.7% males, mean age 24.5) living in Beijing for at least 1 year and exposed to relatively high air pollution from the local community controlling for socioeconomic and genomic. Six months’ ambient air pollution exposures were assessed based on residential addresses using monthly averages of fine particulate matter with a diameter of less than or equal to 2.5 μm (PM2.5). A cross-sectional analysis was conducted using functional magnetic resonance imaging (fMRI) and cognitive performance assessments. The polygenic risk score (PRS) of MDD was used to estimate genetic susceptibility. Using a general linear model and partial least square regression, we observed a negative association between resting-state local connectivity in precuneus and PRS-by-PM2.5 interactive effect (PFWE = 0.028), indicating that PM2.5 exposure reduced the spontaneous activity in precuneus in individuals at high genetic risk for MDD. DNA methylation and gene expression of the SLC30A3 gene, responsible for maintaining zinc-glutamate homeostasis, was suggestively associated with this local connectivity. For the global functional connectivity, the polygenic risk for MDD augmented the neural impact of PM2.5 exposure, especially in the frontal-parietal and frontal-limbic regions of the default mode network (PFDR < 0.05). In those genetically predisposed to MDD, increased PM2.5 exposure positively correlated with resting-state functional connectivity between the left angular gyrus and left cuneus gyrus. This connectivity was negatively associated with processing speed. Our cross-sectional study suggests that air pollution may be associated with an increased likelihood of cognitive impairment in individuals genetically predisposed to depression, potentially through alterations in the resting-state function of the occipitoparietal and default mode network.
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通过枕顶叶网络的静息态功能连接分析空气污染和抑郁症遗传风险对处理速度的交互影响
空气污染是一种可逆的环境因素,它与重度抑郁症(MDD)患者受损的认知领域(尤其是处理速度)密切相关。探讨空气污染和抑郁症遗传风险对认知的交互影响的证据有限。这项横断面研究旨在通过具体考察这种交互作用如何影响抑郁症相关认知障碍和静息状态大脑功能来扩展研究。符合条件的参与者为 497 名健康的成年志愿者(48.7% 为男性,平均年龄为 24.5 岁),他们在北京居住了至少一年,并暴露于当地社区相对较高的空气污染中(控制了社会经济和基因组因素)。根据住宅地址,采用直径小于或等于 2.5 μm 的细颗粒物(PM2.5)的月平均值,对六个月的环境空气污染暴露进行了评估。利用功能磁共振成像(fMRI)和认知能力评估进行了横断面分析。MDD 的多基因风险评分 (PRS) 被用来估计遗传易感性。利用一般线性模型和偏最小二乘法回归,我们观察到楔前肌静息态局部连通性与PRS-PM2.5交互效应(PFWE = 0.028)之间存在负相关,这表明PM2.5暴露降低了MDD高遗传风险个体楔前肌的自发活动。负责维持锌-谷氨酸平衡的SLC30A3基因的DNA甲基化和基因表达与这种局部连通性密切相关。在全球功能连通性方面,MDD的多基因风险增强了PM2.5暴露对神经的影响,尤其是在默认模式网络的额叶-顶叶和额叶-边缘区域(PFDR < 0.05)。在易患多发性抑郁症的遗传人群中,PM2.5暴露的增加与左侧角回和左侧楔回之间的静息态功能连接呈正相关。这种连通性与处理速度呈负相关。我们的横断面研究表明,空气污染可能通过改变枕顶叶和默认模式网络的静息态功能,与易患抑郁症的遗传个体认知功能受损的可能性增加有关。
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来源期刊
BMC Medicine
BMC Medicine 医学-医学:内科
CiteScore
13.10
自引率
1.10%
发文量
435
审稿时长
4-8 weeks
期刊介绍: BMC Medicine is an open access, transparent peer-reviewed general medical journal. It is the flagship journal of the BMC series and publishes outstanding and influential research in various areas including clinical practice, translational medicine, medical and health advances, public health, global health, policy, and general topics of interest to the biomedical and sociomedical professional communities. In addition to research articles, the journal also publishes stimulating debates, reviews, unique forum articles, and concise tutorials. All articles published in BMC Medicine are included in various databases such as Biological Abstracts, BIOSIS, CAS, Citebase, Current contents, DOAJ, Embase, MEDLINE, PubMed, Science Citation Index Expanded, OAIster, SCImago, Scopus, SOCOLAR, and Zetoc.
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