Identification of potential biomarkers related to mesenchymal stem cell response in patients with Alzheimer's disease

被引:0
|
作者
Choi, Yejoo [1 ,2 ]
Shin, Sungho [3 ]
Son, Hyo Jin [1 ,2 ,4 ,5 ]
Lee, Na-Hee [1 ,2 ,6 ]
Myeong, Su Hyeon [1 ,2 ]
Lee, Cheolju [3 ,7 ]
Jang, Hyemin [1 ,2 ,5 ,8 ]
Choi, Soo Jin [9 ]
Kim, Hee Jin [1 ,2 ,4 ,5 ,6 ,8 ]
Na, Duk L. [1 ,2 ,8 ]
机构
[1] Samsung Med Ctr, Res Inst Future Med, Cell & Gene Therapy Inst CGTI, Seoul, South Korea
[2] Sungkyunkwan Univ, Samsung Med Ctr, Dept Neurol, Sch Med, 81 Irwon Ro, Seoul 06351, South Korea
[3] Korea Inst Sci & Technol, Chem & Biol Integrat Res Ctr, Seoul 02792, South Korea
[4] Sungkyunkwan Univ, Sch Med, 81 Irwon Ro, Seoul 06351, South Korea
[5] Samsung Med Ctr, Neurosci Ctr, 81 Irwon Ro, Seoul 06351, South Korea
[6] Sungkyunkwan Univ, Dept Hlth Sci & Technol, SAIHST, Seoul 06355, South Korea
[7] Korea Univ Sci & Technol, KIST Sch, Div Biomed Sci & Technol, Seoul 02792, South Korea
[8] Samsung Med Ctr, Alzheimers Dis Convergence Res Ctr, Seoul, South Korea
[9] MEDIPOST Co Ltd, Biomed Res Inst, 21 Daewangpangyo Ro 644 Beon Gil, Seongnam Si 13494, Gyeonggi Do, South Korea
基金
新加坡国家研究基金会;
关键词
Alzheimer's disease; Mesenchymal stem cell; LC-MS; MS; Biomarker; APOLIPOPROTEIN-E; ACTIVIN-A; ASSOCIATION WORKGROUPS; DIAGNOSTIC GUIDELINES; NATIONAL INSTITUTE; CYSTATIN-C; U2; SNRNP; EXPRESSION; BINDING; GENE;
D O I
10.1186/s13287-023-03410-8
中图分类号
Q813 [细胞工程];
学科分类号
摘要
BackgroundPreclinical studies showed that mesenchymal stem cells (MSCs) ameliorate tau phosphorylation, amyloid-beta accumulation, and inflammation in Alzheimer's disease (AD) mouse models via secretion of neurotrophic factors and cytokines. We aimed to identify CSF biomarkers that can be used to predict or monitor the response to MSCs in patients with AD.MethodsAD patients were injected with human umbilical cord blood-MSCs (n = 22) or placebo (n = 12). The cerebrospinal fluid (CSF) samples were collected at baseline, one day after the first injection, and one day after the third injection. The patients injected with MSCs were classified into good responder (GR) or poor responder (PR) groups based on the rate of changes in the ratio of total-tau and phosphorylated-tau in the CSF. We selected three typical participants in each group, and their CSF protein levels were analyzed using liquid chromatography/tandem mass spectrometry (LC-MS/MS).ResultsIn the LC-MS/MS analysis, 1,667 proteins were identified. Eleven proteins showed significant differences between the typical GR and PR at baseline. Based on their significance level and known functions, two proteins, reticulocalbin-3 (RCN3) and follistatin-related protein 3 (FSTL3), were selected as potential biomarkers to predict MSC response. A total of 173 proteins showed significant change one day after the third injection compared to the baseline in typical GR. We excluded 45 proteins that showed significant change after the third injection compared to the baseline in the typical PR. Based on their significance level and known function, four proteins, scrapie-responsive protein 1 (SCRG1), neural proliferation differentiation and control protein (NPDC1), apolipoprotein E (ApoE), and cystatin C (CysC), were selected as potential biomarker to monitor MSC response. Additionally, functional analysis revealed that the increased CSF proteins after the third injection compared to the baseline in the typical GR were associated with synaptogenesis.ConclusionsThis study identified two proteins (RCN3 and FSTL3) that may be potential biomarkers for predicting MSC response and four proteins (SCRG1, NPDC1, ApoE, CysC) that may be potential biomarkers for monitoring MSC response in patients with AD. Further studies are needed to validate our results.Trial registration Clinical Trials.gov, NCT02054208. Registered on 4 February 2014. Samsung Medical Center IRB File No.2017-04-025. Registered on 20 June 2017.
引用
收藏
页数:14
相关论文
共 50 条
  • [21] Identification of peroxiredoxin II and its related molecules as potential biomarkers of dermal mesenchymal stem cell homing using network analysis
    Ying-Hao Han
    Ying-Ying Mao
    Yao-Yuan Feng
    Hong-Yi Xiang
    Hu-Nan Sun
    Mei-Hua Jin
    Taeho Kwon
    Applied Biological Chemistry, 2022, 65
  • [22] Identification and validation of potential prognostic biomarkers in glioblastoma via the mesenchymal stem cell infiltration level
    Wang, Shengyu
    Mao, Senlin
    Li, Xiaofu
    Yang, Dan
    Zhou, Yinglian
    Yue, Hui
    Li, Bing
    Li, Wei
    Li, Chengyun
    Zhang, Xuemei
    FRONTIERS IN ONCOLOGY, 2024, 14
  • [23] Mesenchymal Stem Cells Applications in Alzheimer's Disease
    Oyebode, Oluwatosin Debola
    Tulay, Pinar
    GLOBAL MEDICAL GENETICS, 2023, 10 (04): : 382 - 387
  • [24] Identification of diagnostic evoked response potential segments in Alzheimer's disease
    Benvenuto, J
    Jin, Y
    Casale, M
    Lynch, G
    Granger, R
    EXPERIMENTAL NEUROLOGY, 2002, 176 (02) : 269 - 276
  • [25] Therapeutic Potential of Human Stem Cell Implantation in Alzheimer's Disease
    Chan, Hau Jun
    Yanshree
    Roy, Jaydeep
    Tipoe, George Lim
    Fung, Man-Lung
    Lim, Lee Wei
    INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES, 2021, 22 (18)
  • [26] Stem cell models of Alzheimer's disease and related neurological disorders
    Frederick J Livesey
    Alzheimer's Research & Therapy, 4
  • [27] Stem cell models of Alzheimer's disease and related neurological disorders
    Livesey, Frederick J.
    ALZHEIMERS RESEARCH & THERAPY, 2012, 4 (06):
  • [28] Microvesicles as Potential Biomarkers for the Identification of Senescence in Human Mesenchymal Stem Cells
    Lei, Qian
    Liu, Teng
    Gao, Fei
    Xie, Hui
    Sun, Li
    Zhao, Aiqi
    Ren, Wenxiang
    Guo, Hao
    Zhang, Liming
    Wang, Hongxiang
    Chen, Zhichao
    Guo, An-Yuan
    Li, Qiubai
    THERANOSTICS, 2017, 7 (10): : 2673 - 2689
  • [29] Mesenchymal stem cell-derived rapid drug screening system for Alzheimer's disease for the identification of novel drugs
    Gamit, Naisarg
    Patil, Manasi
    Sundrappa, Soumya B.
    Sundaram, S. Mohana
    Sethi, Gautam
    Dharmarajan, Arun
    Warrier, Sudha
    DRUG DEVELOPMENT RESEARCH, 2023, 84 (07) : 1496 - 1512
  • [30] Identification and diagnostic potential of serum microRNAs as biomarkers for early detection of Alzheimer's disease
    Han, Ying-Hao
    Xiang, Hong-Yi
    Lee, Dong Hun
    Feng, Lin
    Sun, Hu -Nan
    Jin, Mei-Hua
    Kwon, Taeho
    AGING-US, 2023, 15 (21): : 12085 - 12103