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White Matter Alteration in Metabolic Syndrome: Diffusion tensor analysis

OBJECTIVE: We explored the regional pattern of white matter alteration in subjects with metabolic syndrome. We also investigated whether white matter alteration was correlated with BMI. RESEARCH DESIGN AND METHODS: Seven middle-aged men with metabolic syndrome and seven without metabolic syndrome un...

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Autores principales: Shimoji, Keigo, Abe, Osamu, Uka, Takanori, Yasmin, Hasina, Kamagata, Koji, Asahi, Kouichi, Hori, Masaaki, Nakanishi, Atsushi, Tamura, Yoshifumi, Watada, Hirotaka, Kawamori, Ryuzo, Aoki, Shigeki
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Diabetes Association 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3579365/
https://www.ncbi.nlm.nih.gov/pubmed/23172976
http://dx.doi.org/10.2337/dc12-0666
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author Shimoji, Keigo
Abe, Osamu
Uka, Takanori
Yasmin, Hasina
Kamagata, Koji
Asahi, Kouichi
Hori, Masaaki
Nakanishi, Atsushi
Tamura, Yoshifumi
Watada, Hirotaka
Kawamori, Ryuzo
Aoki, Shigeki
author_facet Shimoji, Keigo
Abe, Osamu
Uka, Takanori
Yasmin, Hasina
Kamagata, Koji
Asahi, Kouichi
Hori, Masaaki
Nakanishi, Atsushi
Tamura, Yoshifumi
Watada, Hirotaka
Kawamori, Ryuzo
Aoki, Shigeki
author_sort Shimoji, Keigo
collection PubMed
description OBJECTIVE: We explored the regional pattern of white matter alteration in subjects with metabolic syndrome. We also investigated whether white matter alteration was correlated with BMI. RESEARCH DESIGN AND METHODS: Seven middle-aged men with metabolic syndrome and seven without metabolic syndrome underwent diffusion tensor imaging with a 3T magnetic resonance imaging imager. We analyzed the fractional anisotropy (FA) values by using a tract-based spatial statistics technique (whole-brain analysis). We subsequently focused on measuring the mean FA values of the right inferior fronto-occipital fasciculus (IFOF) of all subjects by tract-specific analysis (regional brain analysis). We used a Pearson correlation coefficient to evaluate the relationship between BMI and mean FA values of the right IFOF. RESULTS: In the whole-brain analysis, subjects with metabolic syndrome had significantly lower FA values than control subjects in part of the right external capsule (part of the right IFOF), the entire corpus callosum, and part of the deep white matter of the right frontal lobe. In the regional brain analysis, the mean FA value of the right IFOF was 0.41 ± 0.03 for subjects with metabolic syndrome and 0.44 ± 0.05 for control subjects. A significant negative correlation was observed between BMI and FA values in the right IFOF (r = −0.56, P < 0.04). CONCLUSIONS: Our results show that microstructural white matter changes occur in patients with metabolic syndrome. FA values may be useful indices of white matter alterations in patients with metabolic syndrome.
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spelling pubmed-35793652014-03-01 White Matter Alteration in Metabolic Syndrome: Diffusion tensor analysis Shimoji, Keigo Abe, Osamu Uka, Takanori Yasmin, Hasina Kamagata, Koji Asahi, Kouichi Hori, Masaaki Nakanishi, Atsushi Tamura, Yoshifumi Watada, Hirotaka Kawamori, Ryuzo Aoki, Shigeki Diabetes Care Original Research OBJECTIVE: We explored the regional pattern of white matter alteration in subjects with metabolic syndrome. We also investigated whether white matter alteration was correlated with BMI. RESEARCH DESIGN AND METHODS: Seven middle-aged men with metabolic syndrome and seven without metabolic syndrome underwent diffusion tensor imaging with a 3T magnetic resonance imaging imager. We analyzed the fractional anisotropy (FA) values by using a tract-based spatial statistics technique (whole-brain analysis). We subsequently focused on measuring the mean FA values of the right inferior fronto-occipital fasciculus (IFOF) of all subjects by tract-specific analysis (regional brain analysis). We used a Pearson correlation coefficient to evaluate the relationship between BMI and mean FA values of the right IFOF. RESULTS: In the whole-brain analysis, subjects with metabolic syndrome had significantly lower FA values than control subjects in part of the right external capsule (part of the right IFOF), the entire corpus callosum, and part of the deep white matter of the right frontal lobe. In the regional brain analysis, the mean FA value of the right IFOF was 0.41 ± 0.03 for subjects with metabolic syndrome and 0.44 ± 0.05 for control subjects. A significant negative correlation was observed between BMI and FA values in the right IFOF (r = −0.56, P < 0.04). CONCLUSIONS: Our results show that microstructural white matter changes occur in patients with metabolic syndrome. FA values may be useful indices of white matter alterations in patients with metabolic syndrome. American Diabetes Association 2013-03 2013-02-13 /pmc/articles/PMC3579365/ /pubmed/23172976 http://dx.doi.org/10.2337/dc12-0666 Text en © 2013 by the American Diabetes Association. Readers may use this article as long as the work is properly cited, the use is educational and not for profit, and the work is not altered. See http://creativecommons.org/licenses/by-nc-nd/3.0/ for details.
spellingShingle Original Research
Shimoji, Keigo
Abe, Osamu
Uka, Takanori
Yasmin, Hasina
Kamagata, Koji
Asahi, Kouichi
Hori, Masaaki
Nakanishi, Atsushi
Tamura, Yoshifumi
Watada, Hirotaka
Kawamori, Ryuzo
Aoki, Shigeki
White Matter Alteration in Metabolic Syndrome: Diffusion tensor analysis
title White Matter Alteration in Metabolic Syndrome: Diffusion tensor analysis
title_full White Matter Alteration in Metabolic Syndrome: Diffusion tensor analysis
title_fullStr White Matter Alteration in Metabolic Syndrome: Diffusion tensor analysis
title_full_unstemmed White Matter Alteration in Metabolic Syndrome: Diffusion tensor analysis
title_short White Matter Alteration in Metabolic Syndrome: Diffusion tensor analysis
title_sort white matter alteration in metabolic syndrome: diffusion tensor analysis
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3579365/
https://www.ncbi.nlm.nih.gov/pubmed/23172976
http://dx.doi.org/10.2337/dc12-0666
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