Alzheimer’s disease (AD) is a degenerative brain disease that is the most common cause of dementia. The incidence of AD is rapidly rising because of the aging of the world population. Because AD is presently incurable, early diagnosis is very important. The disease is characterized by pathological changes such as deposition of senile plaques and decreased concentration of the amyloid-beta 42 (Aβ42) peptide in the cerebrospinal fluid (CSF). The concentration of Aβ42 in the CSF is a well-studied AD biomarker. The specific peptide probe was screened through four rounds of biopanning, which included the phage display process. The screened peptide showed strong binding affinity in the micromolar range, and the enzyme-linked peptide assay was optimized using the peptide we developed. This diagnostic method showed specificity toward Aβ42 in the presence of other proteins. The peptide-binding site was also estimated using molecular docking analysis. Finally, the diagnostic method we developed could significantly distinguish patients who were classified based on amyloid PET images.
Accumulation of aggregated amyloid- (A) in the brain is considered the first pathological event within the pathogenesis of Alzheimer’s disease (AD). It is difficult to accurately identify the initial brain regions of A accumulation due to the time-lag between the start of the pathophysiology and symptom onset. However, focal regional amyloid uptake on amyloid PET scans may provide insights into this. Hence, we aimed to evaluate the topographic distribution of amyloid deposition in patients with cognitive impairment and to identify the starting order of amyloid accumulation in the brain using conditional probability. We enrolled 58 patients composed of 9 normal cognition (NC), 32 mild cognitive impairment (MCI), and 17 dementia showing focal regional amyloid deposition corresponding to a brain amyloid plaque load (BAPL) score of 2 among those who visited the Memory Clinic of Asan Medical Center and underwent an 18F-florbetaben PET scan (March 2013 to April 2019). Regions of interest (ROI) included the frontal, parietal, lateral temporal, and occipital cortices, the posterior cingulate/precuneus, and the striatum. The most frequent occurrence of A deposition was in the posterior cingulate/precuneus (n = 41, 68.3%). The second most frequent site was the lateral temporal cortex (n = 24, 40.0%), followed by the lateral parietal cortex (n = 21, 35.6%) and other lesions, such as the frontal and occipital cortices. The striatum was the least frequently affected. Our study found that the posterior cingulate/precuneus and the lateral temporal and parietal cortices may be the earliest areas to be affected by A accumulation. Longitudinal follow-up of focal brain amyloid deposition may help elucidate the evolutionary pattern of A accumulation in the brain of people with AD continuum.
Obesity is associated with autoimmunity, a phenomenon considered as harmful. Here we show that obese mice and humans produce IgG-type autoantibodies that specifically recognize apolipoprotein B-100 (ApoB100), its native epitope p210, and the synthetic p210 mimotope pB1. By contrast, antibodies against epitopes p45 and p240, which have been associated with atherosclerosis, were not detected in either the humans or mice. In a longitudinal analysis of high fat diet-fed mice, autoantibody production rose with increasing body weight, then decreased and plateaued at morbid obesity. Likewise, in a cross-sectional analysis of sera from 148 human volunteers spanning a wide BMI range and free of comorbidities, the immunoreactivity increased and then decreased with increasing BMI. Thus, the obesity-related ApoB100-specific natural autoantibodies characteristically showed the same epitope recognition, IgG-type, and biphasic serum levels in humans and mice. We previously reported that a pB1-based vaccine induces similar antibodies and can prevent obesity in mice. Therefore, our present results suggest that autoantibodies directed against native ApoB100 may mitigate obesity, and that the vaccination approach may be effective in humans.
1 January 2020 in Dementia and Neurocognitive Disorders