Human Serum Albumin Can Regulate Amyloid-β Peptide Fiber Growth in the Brain Interstitium

Stanyon, Helen F.; Viles, John H.

doi:10.1074/jbc.c112.360800

Cited by 143 publications

(138 citation statements)

References 31 publications

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“…Further, Cu transfer from Cu-Aβ to HSA inhibits aggregation and generation of reactive oxygen species and reduces Aβ toxicity [54]. HSA has also been shown to regulate Aβ peptide fiber growth in the brain interstitium [66]. …”

Section: Discussionmentioning

confidence: 99%

Multifactorial Analysis of a Biomarker Pool for Alzheimer Disease Risk in a North Indian Population

Talwar

Grover

Sinha

et al. 2017

Dement Geriatr Cogn Disord

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Background: Alzheimer disease (AD) is a progressive neurodegenerative disease with a complex multifactorial etiology. Here, we aim to identify a biomarker pool comprised of genetic variants and blood biomarkers as predictor of AD risk. Methods: We performed a case-control study involving 108 cases and 159 non-demented healthy controls to examine the association of multiple biomarkers with AD risk. Results: The APOE genotyping revealed that ε4 allele frequency was significantly high (p value = 0.0001, OR = 2.66, 95% CI 1.58-4.46) in AD as compared to controls, whereas ε2 (p = 0.0430, OR = 0.29, CI 0.07-1.10) was overrepresented in controls. In biochemical assays, significant differences in levels of total copper, free copper, zinc, copper/zinc ratio, iron, epidermal growth factor receptor (EGFR), leptin, and albumin were also observed. The AD risk score (ADRS) as a linear combination of 6 candidate markers involving age, education status, APOE ε4 allele, levels of iron, Cu/Zn ratio, and EGFR was created using stepwise linear discriminant analysis. The area under the ROC curve of the ADRS panel for predicting AD risk was significantly high (AUC = 0.84, p < 0.0001, 95% CI 0.78-0.89, sensitivity = 70.0%, specificity = 83.8%) compared to individual parameters. Conclusion: These findings support the multifactorial etiology of AD and demonstrate the ability of a panel involving 6 biomarkers to discriminate AD cases from non-demented healthy controls.

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Section: Discussionmentioning

confidence: 99%

Multifactorial Analysis of a Biomarker Pool for Alzheimer Disease Risk in a North Indian Population

Talwar

Grover

Sinha

et al. 2017

Dement Geriatr Cogn Disord

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“…The aggregation was increased much more by ApoE4 than by Aβ42. LSPR λ max shift is proportional to protein binding on the surface of AuNP and relates to the binding affinity K; it is possible to calculate dissociation constant (K d ) values from the amounts of free and bound Aβ42 for ApoE4 with the following equation (Stanyon and Viles, 2012 (k a is recognition of Aβ42 and ApoE4; and k d is stability of the Aβ42/ApoE4 complex). k a and k d were calculated from inset of Fig.…”

Section: Real Time Measurement Of Aggregationmentioning

confidence: 99%

Label-free detection of ApoE4-mediated β-amyloid aggregation on single nanoparticle uncovering Alzheimer's disease

Kang

Lee

Nguyen

et al. 2015

Biosensors and Bioelectronics

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“…However, reports on a direct relationship between low serum albumin and abnormal cognition are rare; only one study has observed it [13]. Interestingly, as an indication for Alzheimer's disease, physiological levels of human serum albumin have been shown to inhibit amyloid-b peptide fiber growth in the brain interstitium [23]. Reduced amyloid-b clearance from the brain to the blood may play a key role in the development of Alzheimer's disease [24].…”

Section: Discussionmentioning

confidence: 97%

Risk factors associated with abnormal cognition in Japanese outpatients with diabetes, hypertension or dyslipidemia

et al. 2014

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Aims According to the recent increase in life expectancy in patients with diabetes, the incidence of dementia with diabetes is increasing drastically in Japan. However, the number of studies on the prevalence of abnormal cognition and the associated risk factors in a large number of outpatients with diabetes in a primary care setting is very limited. Methods The Mini-Mental State Examination (MMSE) test was performed in 1,449 outpatients aged C50 years with diabetes, hypertension or dyslipidemia (126 without and 1,323 with diabetes). Prevalence of abnormal cognition defined as an MMSE score \24 and the associated risk factors were explored. Results Prevalence of abnormal cognition was 5.8 % in total, and was 8.3 % in outpatients aged C65 years with diabetes. Logistic regression analysis after adjustment for age, sex, BMI and smoking indicated that abnormal cognition was associated with lower serum albumin and higher uric acid levels in all subjects. In subjects with diabetes, in addition to the associations with serum albumin and uric acid levels, lower renal function, retinopathy, use of insulin and a-glucosidase inhibitor, and non-use of pioglitazone and metformin were significantly associated with abnormal cognition independent of the effect of duration of diabetes, hypertension, dyslipidemia, and history of coronary heart disease and stroke. Conclusions Because of the higher prevalence of abnormal cognition in aged outpatients with diabetes found in primary care practice and significant associations with serum albumin, uric acid, renal function, retinopathy and antidiabetic drugs, there is a need for early diagnosis and strategies against dementia.

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Human Serum Albumin Can Regulate Amyloid-β Peptide Fiber Growth in the Brain Interstitium

Cited by 143 publications

References 31 publications

Multifactorial Analysis of a Biomarker Pool for Alzheimer Disease Risk in a North Indian Population

Multifactorial Analysis of a Biomarker Pool for Alzheimer Disease Risk in a North Indian Population

Label-free detection of ApoE4-mediated β-amyloid aggregation on single nanoparticle uncovering Alzheimer's disease

Risk factors associated with abnormal cognition in Japanese outpatients with diabetes, hypertension or dyslipidemia

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