지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2021.6
- 수록면
- 1 - 9 (9page)
- DOI
- 10.1038/s12276-021-00638-3
이용수
초록· 키워드
오류제보하기
Alzheimer’s disease (AD) is the leading cause of dementia, and many studies have focused on finding effective blood biomarkers for the accurate diagnosis of this disease. Predicting cerebral amyloid deposition is considered the key for AD diagnosis because a cerebral amyloid deposition is the hallmark of AD pathogenesis. Previously, blood biomarkers were discovered to predict cerebral amyloid deposition, and further efforts have been made to increase their sensitivity and specificity. In this study, we analyzed blood-test factors (BTFs) that can be commonly measured in medical health check-ups from 149 participants with cognitively normal, 87 patients with mild cognitive impairment, and 64 patients with clinically diagnosed AD dementia with brain amyloid imaging data available. We demonstrated that four factors among regular health check-up blood tests, cortisol, triglyceride/high-density lipoprotein cholesterol ratio, alanine aminotransferase, and free triiodothyronine, showed either a significant difference by or correlation with cerebral amyloid deposition. Furthermore, we made a prediction model for Pittsburgh compound B-positron emission tomography positivity, using BTFs and the previously discovered blood biomarkers, the QPLEX
TM
Alz plus assay kit biomarker panel, and the area under the curve was significantly increased up to 0.845% with 69.4% sensitivity and 90.6% specificity. These results show that BTFs could be used as co-biomarkers and that a highly advanced prediction model for amyloid plaque deposition could be achieved by the combinational use of diverse biomarkers.
목차
등록된 정보가 없습니다.
참고문헌 (0)
참고문헌 신청함께 읽어보면 좋을 논문
논문 유사도에 따라 DBpia 가 추천하는 논문입니다. 함께 보면 좋을 연관 논문을 확인해보세요!
-
Diagnosis of Alzheimer’s disease utilizing amyloid and tau as fluid biomarkers
Experimental and Molecular Medicine
2019 .01
-
Peripheral inflammatory biomarkers in Alzheimer’s disease: a brief review
BMB Reports
2020 .01
-
Sex differences in the progression of glucose metabolism dysfunction in Alzheimer’s disease
Experimental and Molecular Medicine
2023 .05
-
New fluid biomarkers tracking non-amyloid-β and non-tau pathology in Alzheimer’s disease
Experimental and Molecular Medicine
2020 .01
-
고해상도로 정의된 뇌네트워크 추출 연구
대한전자공학회 학술대회
2020 .08
-
Recent Advances in Photoelectrochemical Sensing of Alzheimer’s Biomarkers
BioChip Journal
2023 .06
-
경증 알츠하이머 치매노인에서 베타 아밀로이드 및 혈중 지질 수준과 인지기능과의 상관관계 분석
한국산학기술학회 논문지
2019 .11
-
Fluorescence Lifetime Imaging of Amyloid-beta and Tau Fibrils Through Alzheimer"s Disease Cerebral Organoid
한국생물공학회 학술대회
2023 .04
-
Amyloid-β Impedance Sensor Based on Caffeine for Alzheimer’s Disease
한국고분자학회 학술대회 연구논문 초록집
2019 .04
-
Role of Electrostatic Interactions on Amyloid Structures
대한기계학회 춘추학술대회
2016 .04
-
생성적 적대 신경망 기반의 3D 뇌 영상을 이용한 알츠하이머 질병 예측 모델
대한전자공학회 학술대회
2023 .06
-
치매 진단을 위한 MRI 바이오마커 패치 영상 기반 3차원 심층합성곱신경망 분류 기술
멀티미디어학회논문지
2020 .08
-
Ultra-Sensitive Amyloid-β Sensor with Gold Nanoparticles and Conducting Polymers Composite Electrode for Early Diagnosis of Alzheimer’s Disease
한국고분자학회 학술대회 연구논문 초록집
2018 .10
-
알츠하이머 환자에서 아밀로이드 침착을 이용한 뇌 피질 두께 예측
대한전자공학회 학술대회
2019 .06
-
Single-cell RNA sequencing reveals B cell?related molecular biomarkers for Alzheimer’s disease
Experimental and Molecular Medicine
2021 .12
-
Multiplex Detection of Alzheimer"s disease biomarker through Localized Surface Plasmon Resonance(LSPR)
한국생물공학회 학술대회
2017 .10
-
Label-Free Fluorescence Lifetime Imaging of Amyloid-Beta and Tau Fibrils in Alzheimer’s Disease Cerebral Organoid Models
한국생물공학회 학술대회
2023 .10
-
알츠하이머 질환에서 뉴럴네트워크와 비음수 행렬 분해로 추출한 PET아밀로이드 침착패턴 비교 분석
대한전자공학회 학술대회
2019 .06
-
Mechanical Deformation and Fracture Mechanisms of Amyloid Fibrils
대한기계학회 춘추학술대회
2017 .05
-
주성분 분석 기법을 이용한 변성 아밀로이드 단백질의 기계적 물성 분석
한국소음진동공학회 학술대회논문집
2015 .10
이 논문의 저자 정보
최근 본 자료
댓글(0)
0