Relationship Between Body Mass Index, ApoE4 Status, and PET-Based Amyloid and Neurodegeneration Markers in Amyloid-Positive Subjects with Normal Cognition or Mild Cognitive Impairment

2018 ◽  
Vol 65 (3) ◽  
pp. 781-791 ◽  
Author(s):  
Janusch Blautzik ◽  
Sebastian Kotz ◽  
Matthias Brendel ◽  
Julia Sauerbeck ◽  
Franziska Vettermann ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Body Mass ◽  
Normal Cognition

Joint Effect of ABCA7 rs4147929 and Body Mass Index on Progression from Mild Cognitive Impairment to Alzheimer’s Disease: The Shanghai Aging Study

2020 ◽  
Vol 17 (2) ◽  
pp. 185-195
Author(s):  
Jianxiong Xi ◽  
Ding Ding ◽  
Qianhua Zhao ◽  
Xiaoniu Liang ◽  
Li Zheng ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Body Mass Index ◽  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Body Mass ◽  
Joint Effect ◽  
Genome Wide Association Studies ◽  
Risk Genotype ◽  
Aging Study

Background: Approximately 40 independent Single Nucleotide Polymorphisms (SNPs) have been associated with Alzheimer’s Disease (AD) or cognitive decline in genome-wide association studies. Methods: We aimed to evaluate the joint effect of genetic polymorphisms and environmental factors on the progression from Mild Cognitive Impairment (MCI) to AD (MCI-AD progression) in a Chinese community cohort. Conclusion: Demographic, DNA and incident AD diagnosis data were derived from the follow-up of 316 participants with MCI at baseline of the Shanghai Aging Study. The associations of 40 SNPs and environmental predictors with MCI-AD progression were assessed using the Kaplan-Meier method with the log-rank test and Cox regression model. Results: Rs4147929 at ATP-binding cassette family A member 7 (ABCA7) (AG/AA vs. GG, hazard ratio [HR] = 2.43, 95% confidence interval [CI] 1.24-4.76) and body mass index (BMI) (overweight vs. non-overweight, HR = 0.41, 95% CI 0.22-0.78) were independent predictors of MCI-AD progression. In the combined analyses, MCI participants with the copresence of non-overweight BMI and the ABCA7 rs4147929 (AG/AA) risk genotype had an approximately 6-fold higher risk of MCI-AD progression than those with an overweight BMI and a non-risk genotype (HR = 6.77, 95% CI 2.60-17.63). However, a nonsignificant result was found when participants carried only one of these two risk factors (nonoverweight BMI and AG/AA of ABCA7 rs4147929). Conclusion: ABCA7 rs4147929 and BMI jointly affect MCI-AD progression. MCI participants with the rs4147929 risk genotype may benefit from maintaining an overweight BMI level with regard to their risk for incident AD.

scholarly journals Five-Year Change in Body Mass Index Predicts Conversion to Mild Cognitive Impairment or Dementia Only in APOE ɛ4 Allele Carriers

2021 ◽  
pp. 1-11
Author(s):  
Kylie R. Kadey ◽  
John L. Woodard ◽  
Allison C. Moll ◽  
Kristy A. Nielson ◽  
J. Carson Smith ◽  
...  
Keyword(s):  
Older Adults ◽  
Body Mass Index ◽  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Body Mass ◽  
Carrier Status ◽  
Healthy Older Adults ◽  
E4 Allele ◽  
Lifestyle Risk

Background: Body mass index (BMI) has been identified as an important modifiable lifestyle risk factor for dementia, but less is known about how BMI might interact with Apolipoprotein E ɛ4 (APOE ɛ4) carrier status to predict conversion to mild cognitive impairment (MCI) and dementia. Objective: The aim of this study was to investigate the interaction between APOE ɛ4 status and baseline (bBMI) and five-year BMI change (ΔBMI) on conversion to MCI or dementia in initially cognitively healthy older adults. Methods: The associations between bBMI, ΔBMI, APOE ɛ4 status, and conversion to MCI or dementia were investigated among 1,289 cognitively healthy elders from the National Alzheimer’s Coordinating Center (NACC) database. Results: After five years, significantly more carriers (30.6%) converted to MCI or dementia than noncarriers (17.6%), p <  0.001, OR = 2.06. Neither bBMI (OR = 0.99, 95%CI = 0.96–1.02) nor the bBMI by APOE interaction (OR = 1.02, 95%CI = 0.96–1.08) predicted conversion. Although ΔBMI also did not significantly predict conversion (OR = 0.90, 95%CI = 0.78–1.04), the interaction between ΔBMI and carrier status was significant (OR = 0.72, 95%CI = 0.53–0.98). For carriers only, each one-unit decline in BMI over five years was associated with a 27%increase in the odds of conversion (OR = 0.73, 95%CI = 0.57–0.94). Conclusion: A decline in BMI over five years, but not bBMI, was strongly associated with conversion to MCI or dementia only for APOE ɛ4 carriers. Interventions and behaviors aimed at maintaining body mass may be important for long term cognitive health in older adults at genetic risk for AD.

scholarly journals Body Mass Index, Weight Change, and Clinical Progression in Mild Cognitive Impairment and Alzheimer Disease

2014 ◽  
Vol 28 (1) ◽  
pp. 36-43 ◽  
Author(s):  
Lilah M. Besser ◽  
Dawn P. Gill ◽  
Sarah E. Monsell ◽  
Willa Brenowitz ◽  
Dana H. Meranus ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Alzheimer Disease ◽  
Body Mass ◽  
Weight Change ◽  
Clinical Progression ◽  
Index Weight

Abstract 25: Mild Cognitive Impairment the New Risk Factor for Stroke?

Stroke ◽  
2017 ◽  
Vol 48 (suppl_1) ◽  
Author(s):  
Trudy Gaillard ◽  
Elaine T Miller ◽  
Debi Sampsel ◽  
Tamilyn Bakas
Keyword(s):  
Blood Pressure ◽  
Body Mass Index ◽  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Diastolic Blood Pressure ◽  
Racial Differences ◽  
Body Mass ◽  
White Americans ◽  
Glucose Levels

Background and Purpose: Hypertension, prediabetes and type 2 diabetes are major risk factors for stroke, particularly among elderly African Americans (AAs). However, whether there are racial differences in the characteristics of patients with mild cognitive impairment (MCI) are unknown. The purpose of this study is to explore racial differences in MCI, blood pressure and glucose levels among older AAs and White Americans (WAs). Methods: We recruited 79 free living older adults (>65 years) (40 AAs and 39 WAs). Cognitive impairment was measured using the Montreal Cognitive Assessment (MoCA). We defined MCI as MoCA score between 18-26. In addition, systolic and diastolic blood pressure and hemoglobin A1C (A1C) were obtained in each participant. Results: The mean age of our group was 71.4±5.0 years and body mass index 29.1±5.9 kg/m 2 . The AAs were younger than WAs (70.3±5.1 vs. 72.4±4.7 years, p=0.06), there were no difference in body mass index (29.1±5.9 vs 27.7±5.4kg/m 2 , p=0.26). We found racial differences in MCI between our AA and WA participants. The AAs in our group had significantly lower MoCA scores compared to WAs (21±4.3 vs 25.5±3.2, p=0.0004). In addition, the systolic blood pressure (137.4±17.1 vs.128.25±14.9 mmHg, p=0.01) and diastolic blood pressure (77.3±10.8 vs.72.9±9 mmHg, p=0.05) were statistically higher in our AAs compared to WAs. Finally, the A1C was statistically higher in our AA vs. WA participants (5.8±0.4 vs. 5.5±0.29%, p=0.001). Conclusions: Our pilot data clearly demonstrates racial differences in MCI. Our study confirms that AAs with MCI are younger, have higher blood pressure and A1C levels when compared to WAs. Therefore, future studies are warranted to determine whether treatment of blood pressure and dysglycemia can reverse MCI in older AAs.

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