کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
5500679 | 1534303 | 2016 | 44 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Amyloid imaging using fluorine-19 magnetic resonance imaging (19F-MRI)
دانلود مقاله + سفارش ترجمه
دانلود مقاله ISI انگلیسی
رایگان برای ایرانیان
کلمات کلیدی
موضوعات مرتبط
علوم زیستی و بیوفناوری
بیوشیمی، ژنتیک و زیست شناسی مولکولی
سالمندی
پیش نمایش صفحه اول مقاله

چکیده انگلیسی
The formation of senile plaques followed by the deposition of amyloid-β is the earliest pathological change in Alzheimer's disease. Thus, the detection of senile plaques remains the most important early diagnostic indicator of Alzheimer's disease. Amyloid imaging is a noninvasive technique for visualizing senile plaques in the brains of Alzheimer's patients using positron emission tomography (PET) or magnetic resonance imaging (MRI). Because fluorine-19 (19F) displays an intense nuclear magnetic resonance signal and is almost non-existent in the body, targets are detected with a higher signal-to-noise ratio using appropriate fluorinated contrast agents. The recent introduction of high-field MRI allows us to detect amyloid depositions in the brain of living mouse using 19F-MRI. So far, at least three probes have been reported to detect amyloid deposition in the brain of transgenic mouse models of Alzheimer's disease; (E,E)-1-fluoro-2,5-bis-(3-hydroxycarbonyl-4-hydroxy)styrylbenzene (FSB), 1,7-bis(4â²-hydroxy-3â²-trifluoromethoxyphenyl)-4-methoxycarbonylethyl-1,6-heptadiene3,5-dione (FMeC1, Shiga-Y5) and 6-(3â²,6â²,9â²,15â²,18â²,21â²-heptaoxa-23â²,23â²,23â²-trifluorotricosanyloxy)-2-(4â²-dimethylaminostyryl)benzoxazole (XP7, Shiga-X22). This review presents the recent advances in amyloid imaging using 19F-MRI, including our own studies.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Ageing Research Reviews - Volume 30, September 2016, Pages 85-94
Journal: Ageing Research Reviews - Volume 30, September 2016, Pages 85-94
نویسندگان
Ikuo Tooyama, Daijiro Yanagisawa, Hiroyasu Taguchi, Tomoko Kato, Koichi Hirao, Nobuaki Shirai, Takayuki Sogabe, Nor Faeizah Ibrahim, Toshiro Inubushi, Shigehiro Morikawa,