ارتباط شاخص توده بدنی و حجم کمتر لوب گیجگاهی در بیماری آلزایمر
ترجمه نشده

ارتباط شاخص توده بدنی و حجم کمتر لوب گیجگاهی در بیماری آلزایمر

عنوان فارسی مقاله: شاخص توده بدنی به حجم کمتر لوب گیجگاهی میانی در افراد در معرض خطر بیماری آلزایمر وابسته است
عنوان انگلیسی مقاله: Body mass index is associated with smaller medial temporal lobe volume in those at risk for Alzheimer’s disease
مجله/کنفرانس: تصویربرداری عصبی. بالینی - Neuroimage. Clinical
رشته های تحصیلی مرتبط: پزشکی
گرایش های تحصیلی مرتبط: مغز و اعصاب، ژنتیک پزشکی
کلمات کلیدی فارسی: لاغری، بیماری آلزایمر، شاخص توده بدنی، هیپوکامپوس، قشر انتورینال، خطر چندژنی
کلمات کلیدی انگلیسی: Atrophy، Alzheimer’s disease، Body mass index، Hippocampus، Entorhinal cortex، Polygenic risk
کلمات کلیدی انگلیسی: Atrophy، Alzheimer’s disease، Body mass index، Hippocampus، Entorhinal cortex، Polygenic risk
نوع نگارش مقاله: مقاله پژوهشی (Research Article)
نوع نگارش مقاله: مقاله پژوهشی (Research Article)
شناسه دیجیتال (DOI): https://doi.org/10.1016/j.nicl.2019.102156
شناسه دیجیتال (DOI): https://doi.org/10.1016/j.nicl.2019.102156
دانشگاه: Department of Psychology, The Ohio State University, 225 Psychology Building, 1835 Neil Avenue, Columbus, OH 43210 United States
دانشگاه: Department of Psychology, The Ohio State University, 225 Psychology Building, 1835 Neil Avenue, Columbus, OH 43210 United States
صفحات مقاله انگلیسی: 7
ناشر: الزویر - Elsevier
ناشر: الزویر - Elsevier
نوع ارائه مقاله: ژورنال
نوع ارائه مقاله: ژورنال
نوع مقاله: ISI
نوع مقاله: ISI
سال انتشار مقاله: 2020
سال انتشار مقاله: 2020
ایمپکت فاکتور: 4/140 در سال 2019
ایمپکت فاکتور: 4/140 در سال 2019
شاخص H_index: 47 در سال 2020
شاخص H_index: 47 در سال 2020
شاخص SJR: 1/845 در سال 2019
شاخص SJR: 1/845 در سال 2019
شناسه ISSN: 2213-1582
شناسه ISSN: 2213-1582
شاخص Quartile (چارک): Q1 در سال 2019
شاخص Quartile (چارک): Q1 در سال 2019
فرمت مقاله انگلیسی: PDF
فرمت مقاله انگلیسی: PDF
وضعیت ترجمه: ترجمه نشده است
وضعیت ترجمه: ترجمه نشده است
قیمت مقاله انگلیسی: رایگان
قیمت مقاله انگلیسی: رایگان
آیا این مقاله بیس است: بله
آیا این مقاله بیس است: بله
آیا این مقاله مدل مفهومی دارد: دارد
آیا این مقاله مدل مفهومی دارد: دارد
آیا این مقاله پرسشنامه دارد: ندارد
آیا این مقاله پرسشنامه دارد: ندارد
آیا این مقاله متغیر دارد: دارد
آیا این مقاله متغیر دارد: دارد
کد محصول: E14445
کد محصول: E14445
رفرنس: دارای رفرنس در داخل متن و انتهای مقاله
رفرنس: دارای رفرنس در داخل متن و انتهای مقاله
فهرست مطالب (انگلیسی)

Abstract

1- Introduction

2- Materials and methods

3- Results

4- Discussion

5- Conclusions

References

فهرست مطالب (انگلیسی)

Abstract

1- Introduction

2- Materials and methods

3- Results

4- Discussion

5- Conclusions

References

بخشی از مقاله (انگلیسی)

Abstract

Body mass index (BMI) has a complex relationship with Alzheimer's disease (AD); in midlife, high BMI is associated with increased risk for AD, whereas the relationship in late-life is still unclear. To clarify the relationship between late-life BMI and risk for AD, this study examined the extent to which genetic predisposition for AD moderates BMI and AD-related biomarker associations. Participants included 126 cognitively normal older adults at baseline from the Alzheimer's Disease Neuroimaging Initiative (ADNI) cohort. Genetic risk for AD was assessed via polygenic hazard score. AD-related biomarkers assessed were medial temporal lobe volume and cerebrospinal fluid (CSF) biomarkers. Hierarchical linear regressions were implemented to examine the effects of BMI and polygenic hazard score on AD-related biomarkers. Results showed that BMI moderated the relationship between genetic risk for AD and medial temporal lobe volume, such that individuals with high BMI and high genetic risk for AD showed lower volume in the entorhinal cortex and hippocampus. In sex-stratified analyses, these results remained significant only in females. Finally, BMI and genetic risk for AD were independently associated with CSF biomarkers of AD. These results provide evidence that high BMI is associated with lower volume in AD-vulnerable brain regions in individuals at genetic risk for AD, particularly females. The genetic pathways of AD may be exacerbated by high BMI. Environmental and genetic risk factors rarely occur in isolation, which underscores the importance of looking at their synergistic effects, as they provide insight into early risk factors for AD that prevention methods could target.

Introduction

Alzheimer's disease (AD), the most common form of dementia, is a global health concern that places an epic burden on families, caregivers, healthcare systems, and the economy. An estimated 5.6 million Americans currently live with AD, and this number is expected to increase rapidly as the number of individuals over the age of 65 increases (Hebert et al., 2013). Brain changes, including atrophy and accumulation of β-amyloid peptide (Aβ) and tau, begin years before noticeable clinical and cognitive symptoms develop (Braak and Braak, 1991; Jack et al., 2013; Villemagne et al., 2013), making it imperative to investigate early risk factors that prevention methods could target to delay or prevent progression to AD. One variable that may play a role in development of AD is obesity. Obesity is a serious and growing health concern that impacts 38.9% of U.S. adults (Hales et al., 2018), and is associated with numerous deleterious health conditions, including diabetes and cardiovascular disease, as well as impaired quality of life (Dixon, 2010). One measure of obesity, body mass index (BMI), has a complex relationship with AD.

بخشی از مقاله (انگلیسی)

Abstract

Body mass index (BMI) has a complex relationship with Alzheimer's disease (AD); in midlife, high BMI is associated with increased risk for AD, whereas the relationship in late-life is still unclear. To clarify the relationship between late-life BMI and risk for AD, this study examined the extent to which genetic predisposition for AD moderates BMI and AD-related biomarker associations. Participants included 126 cognitively normal older adults at baseline from the Alzheimer's Disease Neuroimaging Initiative (ADNI) cohort. Genetic risk for AD was assessed via polygenic hazard score. AD-related biomarkers assessed were medial temporal lobe volume and cerebrospinal fluid (CSF) biomarkers. Hierarchical linear regressions were implemented to examine the effects of BMI and polygenic hazard score on AD-related biomarkers. Results showed that BMI moderated the relationship between genetic risk for AD and medial temporal lobe volume, such that individuals with high BMI and high genetic risk for AD showed lower volume in the entorhinal cortex and hippocampus. In sex-stratified analyses, these results remained significant only in females. Finally, BMI and genetic risk for AD were independently associated with CSF biomarkers of AD. These results provide evidence that high BMI is associated with lower volume in AD-vulnerable brain regions in individuals at genetic risk for AD, particularly females. The genetic pathways of AD may be exacerbated by high BMI. Environmental and genetic risk factors rarely occur in isolation, which underscores the importance of looking at their synergistic effects, as they provide insight into early risk factors for AD that prevention methods could target.

Introduction

Alzheimer's disease (AD), the most common form of dementia, is a global health concern that places an epic burden on families, caregivers, healthcare systems, and the economy. An estimated 5.6 million Americans currently live with AD, and this number is expected to increase rapidly as the number of individuals over the age of 65 increases (Hebert et al., 2013). Brain changes, including atrophy and accumulation of β-amyloid peptide (Aβ) and tau, begin years before noticeable clinical and cognitive symptoms develop (Braak and Braak, 1991; Jack et al., 2013; Villemagne et al., 2013), making it imperative to investigate early risk factors that prevention methods could target to delay or prevent progression to AD. One variable that may play a role in development of AD is obesity. Obesity is a serious and growing health concern that impacts 38.9% of U.S. adults (Hales et al., 2018), and is associated with numerous deleterious health conditions, including diabetes and cardiovascular disease, as well as impaired quality of life (Dixon, 2010). One measure of obesity, body mass index (BMI), has a complex relationship with AD.