Mercury levels in hair are associated with reduced neurobehavioral performance and altered brain structures in young adults.


Journal

Communications biology
ISSN: 2399-3642
Titre abrégé: Commun Biol
Pays: England
ID NLM: 101719179

Informations de publication

Date de publication:
02 06 2022
Historique:
received: 12 07 2021
accepted: 09 05 2022
entrez: 2 6 2022
pubmed: 3 6 2022
medline: 7 6 2022
Statut: epublish

Résumé

The detrimental effects of high-level mercury exposure on the central nervous system as well as effects of low-level exposure during early development have been established. However, no previous studies have investigated the effects of mercury level on brain morphometry using advance imaging techniques in young adults. Here, utilizing hair analysis which has been advocated as a method for biological monitoring, data of regional gray matter volume (rGMV), regional white matter volume (rWMV), fractional anisotropy (FA) and mean diffusivity (MD), cognitive functions, and depression among 920 healthy young adults in Japan, we showed that greater hair mercury levels were weakly but significantly associated with diminished cognitive performance, particularly on tasks requiring rapid processing (speed measures), lower depressive tendency, lower rGMV in areas of the thalamus and hippocampus, lower rWMV in widespread areas, greater FA in bilaterally distributed white matter areas overlapping with areas of significant rWMV reductions and lower MD of the widely distributed gray and white matter areas particularly in the bilateral frontal lobe and the right basal ganglia. These results suggest that even normal mercury exposure levels in Japan are weakly associated with differences of brain structures and lower neurobehavioral performance and altered mood among young adults.

Identifiants

pubmed: 35655003
doi: 10.1038/s42003-022-03464-z
pii: 10.1038/s42003-022-03464-z
pmc: PMC9163068
doi:

Substances chimiques

Mercury FXS1BY2PGL

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

529

Informations de copyright

© 2022. The Author(s).

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Auteurs

Hikaru Takeuchi (H)

Division of Developmental Cognitive Neuroscience, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan. takehi@idac.tohoku.ac.jp.

Yuka Shiota (Y)

United Graduate School of Child Development, Osaka University, Kanazawa University, Hamamatsu University School of Medicine, Chiba University and University of Fukui, Kanazawa, Japan.
Research Center for Child Mental Development, Kanazawa University, Kanazawa, Japan.

Ken Yaoi (K)

Research Center for Child Mental Development, Kanazawa University, Kanazawa, Japan.

Yasuyuki Taki (Y)

Division of Developmental Cognitive Neuroscience, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan.
Division of Medical Neuroimaging Analysis, Department of Community Medical Supports, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan.
Department of Radiology and Nuclear Medicine, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan.

Rui Nouchi (R)

Creative Interdisciplinary Research Division, Frontier Research Institute for Interdisciplinary Science, Tohoku University, Sendai, Japan.
Human and Social Response Research Division, International Research Institute of Disaster Science, Tohoku University, Sendai, Japan.

Ryoichi Yokoyama (R)

School of Medicine, Kobe University, Kobe, Japan.

Yuka Kotozaki (Y)

Division of Clinical research, Medical-Industry Translational Research Center, Fukushima Medical University School of Medicine, Fukushima, Japan.

Seishu Nakagawa (S)

Department of Human Human Brain Brain Science, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan.
Division of Psychiatry, Tohoku Medical and Pharmaceutical University, Sendai, Japan.

Atsushi Sekiguchi (A)

Division of Medical Neuroimaging Analysis, Department of Community Medical Supports, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan.
Department of Behavioral Medicine, National Institute of Mental Health, National Center of Neurology and Psychiatry, Tokyo, Japan.

Kunio Iizuka (K)

Department of Psychiatry, Tohoku University Graduate School of Medicine, Sendai, Japan.

Sugiko Hanawa (S)

Department of Human Human Brain Brain Science, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan.

Tsuyoshi Araki (T)

ADVANTAGE Risk Management Co., Ltd, Tokyo, Japan.

Carlos Makoto Miyauchi (CM)

Department of Advanced Brain Science, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan.

Kohei Sakaki (K)

Department of Advanced Brain Science, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan.

Takayuki Nozawa (T)

Research Institute for the Earth Inclusive Sensing, Tokyo Institute of Technology, Tokyo, Japan.

Shigeyuki Ikeda (S)

Department of Ubiquitous Sensing, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan.

Susumu Yokota (S)

Division for Experimental Natural Science, Faculty of Arts and Science, Kyushu University, Fukuoka, Japan.

Daniele Magistro (D)

National Centre for Sport and Exercise Medicine (NCSEM), The NIHR Leicester-Loughborough Diet, Lifestyle and Physical Activity Biomedical Research Unit, School of Sport, Exercise, and Health Sciences, Loughborough University, Loughborough, England.

Yuko Sassa (Y)

Division of Developmental Cognitive Neuroscience, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan.

Ryuta Kawashima (R)

Division of Developmental Cognitive Neuroscience, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan.
Department of Advanced Brain Science, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan.
Department of Ubiquitous Sensing, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan.

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Classifications MeSH