BACKGROUND AND PURPOSE: Silent brain infarcts (SBI) and white matter lesions are relatively common neuroimaging findings, especially in the elderly population. The genetic background for SBI and white matter lesions in a large Japanese general population was investigated. METHODS: Subjects were recruited from participants in the National Institute for Longevity Sciences, Longitudinal Study of Aging. Genotyping of methylenetetrahydrofolate reductase (MTHFR) C677T gene mutation and brain MRI examination were performed in 1721 subjects free of any history of stroke. SBI and white matter lesions were diagnosed from MRI findings. RESULTS: Of 1721 MRI examinations, SBI was observed in 178 (10.3%). The prevalence of SBI and white matter lesions increased with age. The prevalence of SBI was significantly higher in subjects with the MTHFR TT genotype compared with the TC+CC genotype (14.6% versus 9.5%; 42 of 288 versus 136 of 1433; chi2=6.71; P=0.010). The stage of white matter lesions was not significantly different. In subjects >or=60 years of age (n=849), the prevalence of SBI was significantly higher in TT than TC+CC (27.7% versus 16.6%; 36 of 130 versus 119 of 719; chi2=9.16; P=0.002). The prevalence of moderately advanced white matter lesions was also significantly higher in TT than TC+CC (60.7% versus 49.0%; 79 of 130 versus 352 of 719; chi2=9.16; P=0.002). After correction for other risk factors, the MTHFR TT genotype was independently associated with SBI (odds ratio [OR], 1.72; 95% CI, 1.10 to 2.68; P=0.018) and moderately advanced white matter lesions (OR, 1.58; 95% CI, 1.07 to 2.33; P=0.02). CONCLUSIONS: These findings indicate that the MTHFR TT genotype is an independent risk factor for SBI and white matter lesions in the general Japanese population, especially in elderly subjects.
BACKGROUND AND PURPOSE:Silent brain infarcts (SBI) and white matter lesions are relatively common neuroimaging findings, especially in the elderly population. The genetic background for SBI and white matter lesions in a large Japanese general population was investigated. METHODS: Subjects were recruited from participants in the National Institute for Longevity Sciences, Longitudinal Study of Aging. Genotyping of methylenetetrahydrofolate reductase (MTHFR) C677T gene mutation and brain MRI examination were performed in 1721 subjects free of any history of stroke. SBI and white matter lesions were diagnosed from MRI findings. RESULTS: Of 1721 MRI examinations, SBI was observed in 178 (10.3%). The prevalence of SBI and white matter lesions increased with age. The prevalence of SBI was significantly higher in subjects with the MTHFR TT genotype compared with the TC+CC genotype (14.6% versus 9.5%; 42 of 288 versus 136 of 1433; chi2=6.71; P=0.010). The stage of white matter lesions was not significantly different. In subjects >or=60 years of age (n=849), the prevalence of SBI was significantly higher in TT than TC+CC (27.7% versus 16.6%; 36 of 130 versus 119 of 719; chi2=9.16; P=0.002). The prevalence of moderately advanced white matter lesions was also significantly higher in TT than TC+CC (60.7% versus 49.0%; 79 of 130 versus 352 of 719; chi2=9.16; P=0.002). After correction for other risk factors, the MTHFR TT genotype was independently associated with SBI (odds ratio [OR], 1.72; 95% CI, 1.10 to 2.68; P=0.018) and moderately advanced white matter lesions (OR, 1.58; 95% CI, 1.07 to 2.33; P=0.02). CONCLUSIONS: These findings indicate that the MTHFR TT genotype is an independent risk factor for SBI and white matter lesions in the general Japanese population, especially in elderly subjects.
Authors: Dana R Jorgensen; C Elizabeth Shaaban; Clayton A Wiley; Peter J Gianaros; Joseph Mettenburg; Caterina Rosano Journal: Am J Physiol Heart Circ Physiol Date: 2018-02-02 Impact factor: 4.733
Authors: Joshua L Roffman; David G Brohawn; Jesse S Friedman; Kara A Dyckman; Katharine N Thakkar; Yigal Agam; Mark G Vangel; Donald C Goff; Dara S Manoach Journal: Brain Imaging Behav Date: 2011-03 Impact factor: 3.978
Authors: Laura M Raffield; Amanda J Cox; Christina E Hugenschmidt; Barry I Freedman; Carl D Langefeld; Jeff D Williamson; Fang-Chi Hsu; Joseph A Maldjian; Donald W Bowden Journal: Neurobiol Aging Date: 2014-11-20 Impact factor: 4.673
Authors: In Bo Han; Ok Joon Kim; Jung Yong Ahn; Doyeun Oh; Sun Pyo Hong; Ryoong Huh; Sang Sup Chung; Nam Keun Kim Journal: Yonsei Med J Date: 2010-02-12 Impact factor: 2.759
Authors: Sudha Seshadri; Philip A Wolf; Alexa S Beiser; Jacob Selhub; Rhoda Au; Paul F Jacques; Mitsuhiro Yoshita; Irwin H Rosenberg; Ralph B D'Agostino; Charles DeCarli Journal: Arch Neurol Date: 2008-05