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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...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Diabetes Association
2013
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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. |
format | Online Article Text |
id | pubmed-3579365 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | American Diabetes Association |
record_format | MEDLINE/PubMed |
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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