Longitudinal assessment of plasma biomarkers for early detection of cognitive changes in subjective cognitive decline

被引:0
|
作者
Hsieh, Cheng-Hao [1 ]
Ko, Chien-An [1 ]
Liang, Chih-Sung [2 ]
Yeh, Po-Kuan [1 ,2 ]
Tsai, Chia-Kuang [1 ]
Tsai, Chia-Lin [1 ]
Lin, Guan-Yu [1 ,3 ]
Lin, Yu-Kai [1 ]
Tsai, Ming-Chen [1 ]
Yang, Fu-Chi [1 ]
机构
[1] Triserv Gen Hosp, Natl Def Med Ctr, Dept Neurol, Taipei, Taiwan
[2] Triserv Gen Hosp, Natl Def Med Ctr, Dept Psychiat, Beitou Branch, Taipei, Taiwan
[3] Triserv Gen Hosp, Natl Def Med Ctr, Dept Neurol, Songshan Branch, Taipei, Taiwan
来源
FRONTIERS IN AGING NEUROSCIENCE | 2024年 / 16卷
关键词
Alzheimer's disease; dementia; biomarkers; neurodegenerative diseases; plasma; cognitive decline; ALZHEIMERS-DISEASE; A-BETA; IMPAIRMENT; TAU; FRAMEWORK;
D O I
10.3389/fnagi.2024.1389595
中图分类号
R592 [老年病学]; C [社会科学总论];
学科分类号
03 ; 0303 ; 100203 ;
摘要
Background Individuals experiencing subjective cognitive decline (SCD) are at an increased risk of developing mild cognitive impairment and dementia. Early identification of SCD and neurodegenerative diseases using biomarkers may help clinical decision-making and improve prognosis. However, few cross-sectional and longitudinal studies have explored plasma biomarkers in individuals with SCD using immunomagnetic reduction. Objective To identify plasma biomarkers for SCD. Methods Fifty-two participants [38 with SCD, 14 healthy controls (HCs)] underwent baseline assessments, including measurements of plasma A beta(42), A beta(40), t-tau, p-tau, and alpha-synuclein using immunomagnetic reduction (IMR) assays, cognitive tests and the Mini-Mental State Examination (MMSE). Following initial cross-sectional analysis, 39 individuals (29 with SCD, 10 HCs) entered a longitudinal phase for reassessment of these biomarkers and the MMSE. Biomarker outcomes across different individual categories were primarily assessed using the area under the receiver operating characteristic (ROC) curve. The SCD subgroup with an MMSE decline over one point was compared to those without such a decline. Results Higher baseline plasma A beta(1-42) levels significantly discriminated participants with SCD from HCs, with an acceptable area under the ROC curve (AUC) of 67.5% [95% confidence interval (CI), 52.7-80.0%]. However, follow-up and changes in MMSE and IMR data did not significantly differ between the SCD and HC groups (p > 0.05). Furthermore, lower baseline plasma A beta(1-42) levels were able to discriminate SCD subgroups with and without cognitive decline with a satisfied performance (AUC, 75.0%; 95% CI, 55.6-89.1%). At last, the changes in t-tau and A beta(42) x t-tau could differentiate between the two SCD subgroups (p < 0.05). Conclusion Baseline plasma A beta(42) may help identify people with SCD and predict SCD progression. The role of plasma A beta(42) levels as well as their upward trends from baseline in cases of SCD that progress to mild cognitive impairment and Alzheimer's disease require further investigation.
引用
收藏
页数:11
相关论文
共 50 条
  • [31] Longitudinal volume changes of hippocampal subfields and cognitive decline in Parkinson's disease
    Xu, Rui
    Hu, Xiaofei
    Jiang, Xiaomei
    Zhang, Yanling
    Wang, Jian
    Zeng, Xianchun
    QUANTITATIVE IMAGING IN MEDICINE AND SURGERY, 2020, 10 (01) : 220 - 232
  • [32] Detection of cerebrospinal fluid biomarkers changes of Alzheimer's disease using a cognitive stress test in persons with subjective cognitive decline and mild cognitive impairment
    Valles-Salgado, Maria
    Gil-Moreno, Maria Jose
    Cid, Rosie E. Curiel
    Delgado-Alvarez, Alfonso
    Ortega-Madueno, Isabel
    Delgado-Alonso, Cristina
    Palacios-Sarmiento, Marta
    Lopez-Carbonero, Juan, I
    Cardenas, Maria Cruz
    Matias-Guiu, Jorge
    Diez-Cirarda, Maria
    Loewenstein, David A.
    Matias-Guiu, Jordi A.
    FRONTIERS IN PSYCHOLOGY, 2024, 15
  • [33] Attentional Control in Subjective Cognitive Decline
    Li, Yintong
    Bian, Jinghua
    Li, Yongna
    JOURNAL OF ALZHEIMERS DISEASE, 2023, 96 (02) : 551 - 561
  • [34] Amyloid-related changes in fluency in patients with subjective cognitive decline
    van den Berg, Rosanne L.
    Butterbrod, Elke
    de Boer, Casper
    Schluter, Lisa-Marie
    van Harten, Argonde C.
    Teunissen, Charlotte E.
    van de Giessen, Elsmarieke
    van der Flier, Wiesje M.
    Sikkes, Sietske A. M.
    ALZHEIMER'S & DEMENTIA: DIAGNOSIS, ASSESSMENT & DISEASE MONITORING, 2025, 17 (01)
  • [35] Cognitive Intraindividual Variability as a Potential Biomarker for Early Detection of Cognitive and Functional Decline
    Scott, Bonnie M.
    Austin, Tara
    Royall, Donald R.
    Hilsabeck, Robin C.
    NEUROPSYCHOLOGY, 2023, 37 (01) : 52 - 63
  • [36] Sino Longitudinal Study on Cognitive Decline (SILCODE): protocol for a Chinese longitudinal observational study to develop risk prediction models of conversion to mild cognitive impairment in individuals with subjective cognitive decline
    Li, Xuanyu
    Wang, Xiaoni
    Su, Li
    Hu, Xiaochen
    Han, Ying
    BMJ OPEN, 2019, 9 (07):
  • [37] White Matter Microstructural Damage as an Early Sign of Subjective Cognitive Decline
    Luo, Caimei
    Li, Mengchun
    Qin, Ruomeng
    Chen, Haifeng
    Yang, Dan
    Huang, Lili
    Liu, Renyuan
    Xu, Yun
    Bai, Feng
    Zhao, Hui
    FRONTIERS IN AGING NEUROSCIENCE, 2020, 11
  • [38] Clinical Effects of Frontal Behavioral Impairment: Cortical Thickness and Cognitive Decline in Individuals with Subjective Cognitive Decline and Amnestic Mild Cognitive Impairment
    Kim, Seung Joo
    Jung, Na-Yeon
    Kim, Young Ju
    Park, Seong Beom
    Kim, KoWoon
    Kim, Yeshin
    Jang, Hyemin
    Kim, Si Eun
    Cho, Soo Hyun
    Kim, Jun Pyo
    Jung, Young Hee
    Woo, Sook-Young
    Kim, Seon Woo
    Lockhart, Samuel N.
    Kim, Eun-Joo
    Kim, Hee Jin
    Lee, Jong-Min
    Chin, Juhee
    Na, Duk L.
    Seo, Sang Won
    JOURNAL OF ALZHEIMERS DISEASE, 2019, 69 (01) : 213 - 225
  • [39] Changes in Multiparametric Magnetic Resonance Imaging and Plasma Amyloid-Beta Protein in Subjective Cognitive Decline
    Xu, Qiaoqiao
    Yang, Jiajia
    Cheng, Fang
    Ning, Zhiwen
    Xi, Chunhua
    Sun, Zhongwu
    BRAIN SCIENCES, 2023, 13 (12)
  • [40] Baseline structural MRI and plasma biomarkers predict longitudinal structural atrophy and cognitive decline in early Alzheimer’s disease
    Long Xie
    Sandhitsu R. Das
    Laura E. M. Wisse
    Ranjit Ittyerah
    Robin de Flores
    Leslie M. Shaw
    Paul A. Yushkevich
    David A. Wolk
    Alzheimer's Research & Therapy, 15