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] Innovative Biomarkers for Alzheimer's Disease: Focus on the Hidden Disease Biomarkers
    Ghidoni, Roberta
    Squitti, Rosanna
    Siotto, Mariacristina
    Benussi, Luisa
    JOURNAL OF ALZHEIMERS DISEASE, 2018, 62 (04) : 1507 - 1518
  • [22] Phospholipids and Alzheimer's Disease: Alterations, Mechanisms and Potential Biomarkers
    Kosicek, Marko
    Hecimovic, Silva
    INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES, 2013, 14 (01): : 1310 - 1322
  • [23] Cerebrospinal fluid microRNAs as potential biomarkers in Alzheimer's disease
    Eddin, Ahmed Noor
    Hamsho, Khaled
    Adi, Ghaith
    Al-Rimawi, Mohammed
    Alfuwais, Mohammed
    Rab, Saleha Abdul
    Alkattan, Khaled
    Yaqinuddin, Ahmed
    FRONTIERS IN AGING NEUROSCIENCE, 2023, 15
  • [24] Plasma isoprostanoids assessment as Alzheimer's disease progression biomarkers
    Pena-Bautista, Carmen
    alvarez, Lourdes
    Baquero, Miguel
    Ferrer, Ines
    Garcia, Lorena
    Hervas-Marin, David
    Chafer-Pericas, Consuelo
    JOURNAL OF NEUROCHEMISTRY, 2021, 157 (06) : 2187 - 2194
  • [25] Progress Update: Fluid and Imaging Biomarkers in Alzheimer's Disease
    Sutphen, Courtney L.
    Fagan, Anne M.
    Holtzman, David M.
    BIOLOGICAL PSYCHIATRY, 2014, 75 (07) : 520 - 526
  • [26] Identification of mitochondrial-related genes as potential biomarkers for the subtyping and prediction of Alzheimer's disease
    Ma, Wenhao
    Su, Yuelin
    Zhang, Peng
    Wan, Guoqing
    Cheng, Xiaoqin
    Lu, Changlian
    Gu, Xuefeng
    FRONTIERS IN MOLECULAR NEUROSCIENCE, 2023, 16
  • [27] Identification of potential blood biomarkers for early diagnosis of Alzheimer's disease through RNA sequencing analysis
    Shigemizu, Daichi
    Mori, Taiki
    Akiyama, Shintaro
    Higaki, Sayuri
    Watanabe, Hiroshi
    Sakurai, Takashi
    Niida, Shumpei
    Ozaki, Kouichi
    ALZHEIMERS RESEARCH & THERAPY, 2020, 12 (01)
  • [28] Charting the Next Road Map for CSF Biomarkers in Alzheimer's Disease and Related Dementias
    Hu, William T.
    Nayyar, Ashima
    Kaluzova, Milota
    NEUROTHERAPEUTICS, 2023, 20 (04) : 955 - 974
  • [29] Ophthalmic Biomarkers for Alzheimer's Disease: A Review
    Majeed, Ayesha
    Marwick, Ben
    Yu, Haoqing
    Fadavi, Hassan
    Tavakoli, Mitra
    FRONTIERS IN AGING NEUROSCIENCE, 2021, 13
  • [30] 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