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Niu H, Wang BY, Wei XY, Wang YN, Zhu WH, Li WJ, Zhang Y, Wang JC. Anti-inflammatory therapeutic biomarkers identified of human bone marrow mesenchymal stem cell therapy on aging mice by serum proteomics and peptidomics study. J Proteomics 2023; 288:104979. [PMID: 37524227 DOI: 10.1016/j.jprot.2023.104979] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2023] [Revised: 07/13/2023] [Accepted: 07/21/2023] [Indexed: 08/02/2023]
Abstract
Aging is accompanied by deterioration in physical condition, and creates high risks of diseases. Stem cell therapy exhibited promising potential in delaying aging. However, the unelucidated therapeutic mechanism limits future clinical application. Herein, to systematically understand the response to stem cell transfusion at the molecular level, we performed quantitative serum proteomic and peptidomics analyses in the 24-month-old aging mice model with or without mesenchymal stem cell (MSC) treatment. As a result, a total of 560 proteins and 2131 endogenous peptides were identified, among which, 6 proteins and 9 endogenous peptides derived from 6 precursor proteins were finally identified as therapeutic biomarkers after MSC transfusion on aging mice both by untargeted label-free quantification and targeted parallel reaction monitoring (PRM) quantification. Amazingly, the biological function of these differential proteins was mainly related to inflammation, which is not only the important hallmark of aging, but also the main cause of inducing aging. The reduction of these inflammatory protein content after MSC treatment further suggests the anti-inflammatory effect of MSC therapy reported elsewhere. Therefore, our study provides new evidence for the anti-inflammatory effect of MSC therapy for anti-aging and offers abundant data to support deeper investigations of the therapeutic mechanism of MSC in delaying aging.
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Affiliation(s)
- Huan Niu
- Tomas Lindahl Nobel Laureate Laboratory, The Seventh Affiliated Hospital, Sun Yat-Sen University, Shenzhen 518107, China; Scientific Research Center, The Seventh Affiliated Hospital of Sun Yat-Sen University, Shenzhen 518107, China
| | - Bo-Yan Wang
- Center for Stem Cell Biology and Tissue Engineering, Key Laboratory for Stem Cells and Tissue Engineering, Ministry of Education, Sun Yat-Sen University, Guangzhou 510080, China
| | - Xiao-Yue Wei
- Center for Stem Cell Biology and Tissue Engineering, Key Laboratory for Stem Cells and Tissue Engineering, Ministry of Education, Sun Yat-Sen University, Guangzhou 510080, China
| | - Yan-Nan Wang
- Tomas Lindahl Nobel Laureate Laboratory, The Seventh Affiliated Hospital, Sun Yat-Sen University, Shenzhen 518107, China
| | - Wen-Hui Zhu
- Tomas Lindahl Nobel Laureate Laboratory, The Seventh Affiliated Hospital, Sun Yat-Sen University, Shenzhen 518107, China
| | - Wei-Jie Li
- Tomas Lindahl Nobel Laureate Laboratory, The Seventh Affiliated Hospital, Sun Yat-Sen University, Shenzhen 518107, China
| | - Ying Zhang
- Tomas Lindahl Nobel Laureate Laboratory, The Seventh Affiliated Hospital, Sun Yat-Sen University, Shenzhen 518107, China; Scientific Research Center, The Seventh Affiliated Hospital of Sun Yat-Sen University, Shenzhen 518107, China.
| | - Jian-Cheng Wang
- Tomas Lindahl Nobel Laureate Laboratory, The Seventh Affiliated Hospital, Sun Yat-Sen University, Shenzhen 518107, China; Scientific Research Center, The Seventh Affiliated Hospital of Sun Yat-Sen University, Shenzhen 518107, China; Center for Stem Cell Biology and Tissue Engineering, Key Laboratory for Stem Cells and Tissue Engineering, Ministry of Education, Sun Yat-Sen University, Guangzhou 510080, China.
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Kim SG, George NP, Hwang JS, Park S, Kim MO, Lee SH, Lee G. Human Bone Marrow-Derived Mesenchymal Stem Cell Applications in Neurodegenerative Disease Treatment and Integrated Omics Analysis for Successful Stem Cell Therapy. Bioengineering (Basel) 2023; 10:bioengineering10050621. [PMID: 37237691 DOI: 10.3390/bioengineering10050621] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2023] [Revised: 05/16/2023] [Accepted: 05/18/2023] [Indexed: 05/28/2023] Open
Abstract
Neurodegenerative diseases (NDDs), which are chronic and progressive diseases, are a growing health concern. Among the therapeutic methods, stem-cell-based therapy is an attractive approach to NDD treatment owing to stem cells' characteristics such as their angiogenic ability, anti-inflammatory, paracrine, and anti-apoptotic effects, and homing ability to the damaged brain region. Human bone-marrow-derived mesenchymal stem cells (hBM-MSCs) are attractive NDD therapeutic agents owing to their widespread availability, easy attainability and in vitro manipulation and the lack of ethical issues. Ex vivo hBM-MSC expansion before transplantation is essential because of the low cell numbers in bone marrow aspirates. However, hBM-MSC quality decreases over time after detachment from culture dishes, and the ability of hBM-MSCs to differentiate after detachment from culture dishes remains poorly understood. Conventional analysis of hBM-MSCs characteristics before transplantation into the brain has several limitations. However, omics analyses provide more comprehensive molecular profiling of multifactorial biological systems. Omics and machine learning approaches can handle big data and provide more detailed characterization of hBM-MSCs. Here, we provide a brief review on the application of hBM-MSCs in the treatment of NDDs and an overview of integrated omics analysis of the quality and differentiation ability of hBM-MSCs detached from culture dishes for successful stem cell therapy.
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Affiliation(s)
- Seok Gi Kim
- Department of Molecular Science and Technology, Ajou University, 206 World Cup-ro, Suwon 16499, Republic of Korea
| | - Nimisha Pradeep George
- Department of Molecular Science and Technology, Ajou University, 206 World Cup-ro, Suwon 16499, Republic of Korea
| | - Ji Su Hwang
- Department of Molecular Science and Technology, Ajou University, 206 World Cup-ro, Suwon 16499, Republic of Korea
| | - Seokho Park
- Department of Physiology, Ajou University School of Medicine, 206 World Cup-ro, Suwon 16499, Republic of Korea
- Department of Biomedical Science, Graduate School of Ajou University, 206 World Cup-ro, Suwon 16499, Republic of Korea
| | - Myeong Ok Kim
- Division of Life Science and Applied Life Science (BK21 FOUR), College of Natural Sciences, Gyeongsang National University, Jinju 52828, Republic of Korea
| | - Soo Hwan Lee
- Department of Physiology, Ajou University School of Medicine, 206 World Cup-ro, Suwon 16499, Republic of Korea
- Department of Biomedical Science, Graduate School of Ajou University, 206 World Cup-ro, Suwon 16499, Republic of Korea
| | - Gwang Lee
- Department of Molecular Science and Technology, Ajou University, 206 World Cup-ro, Suwon 16499, Republic of Korea
- Department of Physiology, Ajou University School of Medicine, 206 World Cup-ro, Suwon 16499, Republic of Korea
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Kwon DH, Hwang JS, Kim SG, Jang YE, Shin TH, Lee G. Cerebrospinal Fluid Metabolome in Parkinson's Disease and Multiple System Atrophy. Int J Mol Sci 2022; 23:ijms23031879. [PMID: 35163800 PMCID: PMC8836409 DOI: 10.3390/ijms23031879] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2022] [Revised: 02/04/2022] [Accepted: 02/04/2022] [Indexed: 11/16/2022] Open
Abstract
Parkinson’s disease (PD) and multiple system atrophy (MSA) belong to the neurodegenerative group of synucleinopathies; differential diagnosis between PD and MSA is difficult, especially at early stages, owing to their clinical and biological similarities. Thus, there is a pressing need to identify metabolic biomarkers for these diseases. The metabolic profile of the cerebrospinal fluid (CSF) is reported to be altered in PD and MSA; however, the altered metabolites remain unclear. We created a single network with altered metabolites in PD and MSA based on the literature and assessed biological functions, including metabolic disorders of the nervous system, inflammation, concentration of ATP, and neurological disorder, through bioinformatics methods. Our in-silico prediction-based metabolic networks are consistent with Parkinsonism events. Although metabolomics approaches provide a more quantitative understanding of biochemical events underlying the symptoms of PD and MSA, limitations persist in covering molecules related to neurodegenerative disease pathways. Thus, omics data, such as proteomics and microRNA, help understand the altered metabolomes mechanism. In particular, integrated omics and machine learning approaches will be helpful to elucidate the pathological mechanisms of PD and MSA. This review discusses the altered metabolites between PD and MSA in the CSF and omics approaches to discover diagnostic biomarkers.
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Affiliation(s)
- Do Hyeon Kwon
- Department of Molecular Science and Technology, Ajou University, Suwon 16499, Korea; (D.H.K.); (J.S.H.); (S.G.K.); (Y.E.J.)
| | - Ji Su Hwang
- Department of Molecular Science and Technology, Ajou University, Suwon 16499, Korea; (D.H.K.); (J.S.H.); (S.G.K.); (Y.E.J.)
| | - Seok Gi Kim
- Department of Molecular Science and Technology, Ajou University, Suwon 16499, Korea; (D.H.K.); (J.S.H.); (S.G.K.); (Y.E.J.)
| | - Yong Eun Jang
- Department of Molecular Science and Technology, Ajou University, Suwon 16499, Korea; (D.H.K.); (J.S.H.); (S.G.K.); (Y.E.J.)
| | - Tae Hwan Shin
- Department of Physiology, Ajou University School of Medicine, Suwon 16499, Korea
- Correspondence: (T.H.S.); (G.L.)
| | - Gwang Lee
- Department of Molecular Science and Technology, Ajou University, Suwon 16499, Korea; (D.H.K.); (J.S.H.); (S.G.K.); (Y.E.J.)
- Department of Physiology, Ajou University School of Medicine, Suwon 16499, Korea
- Correspondence: (T.H.S.); (G.L.)
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Shin TH, Manavalan B, Lee DY, Basith S, Seo C, Paik MJ, Kim SW, Seo H, Lee JY, Kim JY, Kim AY, Chung JM, Baik EJ, Kang SH, Choi DK, Kang Y, Maral Mouradian M, Lee G. Silica-coated magnetic-nanoparticle-induced cytotoxicity is reduced in microglia by glutathione and citrate identified using integrated omics. Part Fibre Toxicol 2021; 18:42. [PMID: 34819099 PMCID: PMC8614058 DOI: 10.1186/s12989-021-00433-y] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2021] [Accepted: 10/25/2021] [Indexed: 01/12/2023] Open
Abstract
BACKGROUND Nanoparticles have been utilized in brain research and therapeutics, including imaging, diagnosis, and drug delivery, owing to their versatile properties compared to bulk materials. However, exposure to nanoparticles leads to their accumulation in the brain, but drug development to counteract this nanotoxicity remains challenging. To date, concerns have risen about the potential toxicity to the brain associated with nanoparticles exposure via penetration of the brain blood barrier to address this issue. METHODS Here the effect of silica-coated-magnetic nanoparticles containing the rhodamine B isothiocyanate dye [MNPs@SiO2(RITC)] were assessed on microglia through toxicological investigation, including biological analysis and integration of transcriptomics, proteomics, and metabolomics. MNPs@SiO2(RITC)-induced biological changes, such as morphology, generation of reactive oxygen species, intracellular accumulation of MNPs@SiO2(RITC) using transmission electron microscopy, and glucose uptake efficiency, were analyzed in BV2 murine microglial cells. Each omics data was collected via RNA-sequencing-based transcriptome analysis, liquid chromatography-tandem mass spectrometry-based proteome analysis, and gas chromatography- tandem mass spectrometry-based metabolome analysis. The three omics datasets were integrated and generated as a single network using a machine learning algorithm. Nineteen compounds were screened and predicted their effects on nanotoxicity within the triple-omics network. RESULTS Intracellular reactive oxygen species production, an inflammatory response, and morphological activation of cells were greater, but glucose uptake was lower in MNPs@SiO2(RITC)-treated BV2 microglia and primary rat microglia in a dose-dependent manner. Expression of 121 genes (from 41,214 identified genes), and levels of 45 proteins (from 5918 identified proteins) and 17 metabolites (from 47 identified metabolites) related to the above phenomena changed in MNPs@SiO2(RITC)-treated microglia. A combination of glutathione and citrate attenuated nanotoxicity induced by MNPs@SiO2(RITC) and ten other nanoparticles in vitro and in the murine brain, protecting mostly the hippocampus and thalamus. CONCLUSIONS Combination of glutathione and citrate can be one of the candidates for nanotoxicity alleviating drug against MNPs@SiO2(RITC) induced detrimental effect, including elevation of intracellular reactive oxygen species level, activation of microglia, and reduction in glucose uptake efficiency. In addition, our findings indicate that an integrated triple omics approach provides useful and sensitive toxicological assessment for nanoparticles and screening of drug for nanotoxicity.
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Affiliation(s)
- Tae Hwan Shin
- Department of Physiology, Ajou University School of Medicine, 206 World cup-ro, Suwon, 16499 Republic of Korea
| | - Balachandran Manavalan
- Department of Physiology, Ajou University School of Medicine, 206 World cup-ro, Suwon, 16499 Republic of Korea
| | - Da Yeon Lee
- Department of Physiology, Ajou University School of Medicine, 206 World cup-ro, Suwon, 16499 Republic of Korea
| | - Shaherin Basith
- Department of Physiology, Ajou University School of Medicine, 206 World cup-ro, Suwon, 16499 Republic of Korea
| | - Chan Seo
- College of Pharmacy, Sunchon National University, 255 Jungang-ro, Suncheon, 57922 Republic of Korea
| | - Man Jeong Paik
- College of Pharmacy, Sunchon National University, 255 Jungang-ro, Suncheon, 57922 Republic of Korea
| | - Sang-Wook Kim
- Department of Molecular Science and Technology, Ajou University, 206 World cup-ro, Suwon, 16499 Republic of Korea
| | - Haewoon Seo
- Department of Molecular Science and Technology, Ajou University, 206 World cup-ro, Suwon, 16499 Republic of Korea
| | - Ju Yeon Lee
- Research Center of Bioconvergence Analysis, Korea Basic Science Institute, 162 Yeongudanji-ro, Cheongju, 28119 Republic of Korea
| | - Jin Young Kim
- Research Center of Bioconvergence Analysis, Korea Basic Science Institute, 162 Yeongudanji-ro, Cheongju, 28119 Republic of Korea
| | - A Young Kim
- Department of Physiology, Ajou University School of Medicine, 206 World cup-ro, Suwon, 16499 Republic of Korea
| | - Jee Min Chung
- Department of Physiology, Ajou University School of Medicine, 206 World cup-ro, Suwon, 16499 Republic of Korea
| | - Eun Joo Baik
- Department of Physiology, Ajou University School of Medicine, 206 World cup-ro, Suwon, 16499 Republic of Korea
| | - Seong Ho Kang
- Department of Chemistry, Graduate School, Kyung Hee University, Yongin-si, Gyeonggi-do 17104 Republic of Korea
- Department of Applied Chemistry and Institute of Natural Sciences, Kyung Hee University, Yongin-si, Gyeonggi-do 17104 Republic of Korea
| | - Dong-Kug Choi
- Department of Biotechnology, College of Biomedical and Health Science, Konkuk University, 268 Chungwondaero, Chungju, 27478 Republic of Korea
| | - Yup Kang
- Department of Physiology, Ajou University School of Medicine, 206 World cup-ro, Suwon, 16499 Republic of Korea
| | - M. Maral Mouradian
- RWJMS Institute for Neurological Therapeutics, Rutgers Biomedical and Health Sciences, and Department of Neurology, Robert Wood Johnson Medical School, Rutgers University, Piscataway, NJ 08854 USA
| | - Gwang Lee
- Department of Molecular Science and Technology, Ajou University, Suwon-si, Gyeonggi-do 16499 Republic of Korea
- Department of Physiology, Ajou University School of Medicine, Suwon-si, Gyeonggi-do 16499 Republic of Korea
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