期刊论文详细信息
Frontiers in Neuroscience
Topological network properties of resting-state functional connectivity patterns are associated with metal mixture exposure in adolescents
Neuroscience
Claudia Ambrosi1  Lorella Mascaro2  Elza Rechtman3  Robert O. Wright3  Elena Colicino3  Paul Curtin3  Azzurra Invernizzi3  Megan K. Horton3  Kristie Oluyemi4  Cheuk Y. Tang5  Stefano Renzetti6  Alessandra Patrono6  Donatella Placidi6  Roberto Gasparotti6  Daniele Corbo6  Giuseppa Cagna6  Roberto G. Lucchini7  Donald R. Smith8  Abraham Reichenberg9 
[1]ASST Cremona Hospital, Cremona, Italy
[2]ASST Spedali Civili Hospital, Brescia, Italy
[3]Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, United States
[4]Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, United States
[5]Nash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, United States
[6]The Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, United States
[7]Graduate School of Biomedical Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, United States
[8]Department of Medical Surgical Specialties, Radiological Sciences and Public Health, University of Brescia, Brescia, Italy
[9]Department of Medical and Surgical Specialties, Radiological Sciences and Public Health, University of Brescia, Brescia, Italy
[10]Department of Medical and Surgical Specialties, Radiological Sciences and Public Health, University of Brescia, Brescia, Italy
[11]Department of Environmental Health Sciences, Robert Stempel School of Public Health, Florida International University, Miami, FL, United States
[12]Department of Microbiology and Environmental Toxicology, University of California, Santa Cruz, Santa Cruz, CA, United States
[13]Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, United States
关键词: resting state–fMRI;    graph theory;    global and local efficiency;    topological network properties;    exposure;    neurotoxic metals;   
DOI  :  10.3389/fnins.2023.1098441
 received in 2022-11-14, accepted in 2023-01-17,  发布年份 2023
来源: Frontiers
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【 摘 要 】
IntroductionAdolescent exposure to neurotoxic metals adversely impacts cognitive, motor, and behavioral development. Few studies have addressed the underlying brain mechanisms of these metal–associated developmental outcomes. Furthermore, metal exposure occurs as a mixture, yet previous studies most often consider impacts of each metal individually. In this cross–sectional study, we investigated the relationship between exposure to neurotoxic metals and topological brain metrics in adolescents.MethodsIn 193 participants (53% females, ages: 15–25 years) enrolled in the Public Health Impact of Metals Exposure (PHIME) study, we measured concentrations of four metals (manganese, lead, copper, and chromium) in multiple biological media (blood, urine, hair, and saliva) and acquired resting–state functional magnetic resonance imaging scans. Using graph theory metrics, we computed global and local efficiency (global:GE; local:LE) in 111 brain areas (Harvard Oxford Atlas). We used weighted quantile sum (WQS) regression models to examine association between metal mixtures and each graph metric (GE or LE), adjusted for sex and age.ResultsWe observed significant negative associations between the metal mixture and GE and LE [βGE = −0.076, 95% CI (−0.122, −0.031); βLE= −0.051, 95% CI (−0.095, −0.006)]. Lead and chromium measured in blood contributed most to this association for GE, while chromium measured in hair contributed the most for LE.DiscussionOur results suggest that exposure to this metal mixture during adolescence reduces the efficiency of integrating information in brain networks at both local and global levels, informing potential neural mechanisms underlying the developmental toxicity of metals. Results further suggest these associations are due to combined joint effects to different metals, rather than to a single metal.
【 授权许可】

Unknown   
Copyright © 2023 Invernizzi, Rechtman, Oluyemi, Renzetti, Curtin, Colicino, Ambrosi, Mascaro, Patrono, Corbo, Cagna, Gasparotti, Reichenberg, Tang, Smith, Placidi, Lucchini, Wright and Horton.

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