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Zhang Y, Warden AR, Ahmad KZ, Liu Y, He X, Zheng M, Huo X, Zhi X, Ke Y, Li H, Yan S, Su W, Cai D, Ding X. Single-Cell Microwell Platform Reveals Circulating Neural Cells as a Clinical Indicator for Patients with Blood-Brain Barrier Breakdown. RESEARCH 2021; 2021:9873545. [PMID: 34327332 PMCID: PMC8285994 DOI: 10.34133/2021/9873545] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/22/2021] [Accepted: 06/01/2021] [Indexed: 12/21/2022]
Abstract
Central nervous system diseases commonly occur with the destruction of the blood-brain barrier. As a primary cause of morbidity and mortality, stroke remains unpredictable and lacks cellular biomarkers that accurately quantify its occurrence and development. Here, we identify NeuN+/CD45−/DAPI+ phenotype nonblood cells in the peripheral blood of mice subjected to middle cerebral artery occlusion (MCAO) and stroke patients. Since NeuN is a specific marker of neural cells, we term these newly identified cells as circulating neural cells (CNCs). We find that the enumeration of CNCs in the blood is significantly associated with the severity of brain damage in MCAO mice (p < 0.05). Meanwhile, the number of CNCs is significantly higher in stroke patients than in negative subjects (p < 0.0001). These findings suggest that the amount of CNCs in circulation may serve as a clinical indicator for the real-time prognosis and progression monitor of the occurrence and development of ischemic stroke and other nervous system disease.
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Affiliation(s)
- Yu Zhang
- State Key Laboratory of Oncogenes and Related Genes, Institute for Personalized Medicine, School of Biomedical Engineering, Shanghai Jiao Tong University, 1954 Huashan Road, Shanghai 200030, China
| | - Antony R Warden
- State Key Laboratory of Oncogenes and Related Genes, Institute for Personalized Medicine, School of Biomedical Engineering, Shanghai Jiao Tong University, 1954 Huashan Road, Shanghai 200030, China
| | - Khan Zara Ahmad
- State Key Laboratory of Oncogenes and Related Genes, Institute for Personalized Medicine, School of Biomedical Engineering, Shanghai Jiao Tong University, 1954 Huashan Road, Shanghai 200030, China
| | - Yanlei Liu
- Shanghai Engineering Research Centre for Intelligent Diagnosis and Treatment Instrument, Department of Instrument Science and Engineering, School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, 800 Dongchuan Road, Shanghai 200240, China
| | - Xijun He
- Department of Neurosurgery, Wenling Hospital Affiliated to Wenzhou Medical University, Chuan'an Nan Road, Chengxi Subdistrict, Wenling, 317500 Zhejiang, China
| | - Minqiao Zheng
- Central Laboratory, Wenling Hospital Affiliated to Wenzhou Medical University, Chuan'an Nan Road, Chengxi Subdistrict, Wenling, 317500 Zhejiang, China
| | - Xinlong Huo
- Department of Neurology, Wenling Hospital Affiliated to Wenzhou Medical University, Chuan'an Nan Road, Chengxi Subdistrict, Wenling, 317500 Zhejiang, China
| | - Xiao Zhi
- State Key Laboratory of Oncogenes and Related Genes, Institute for Personalized Medicine, School of Biomedical Engineering, Shanghai Jiao Tong University, 1954 Huashan Road, Shanghai 200030, China
| | - Yuqing Ke
- State Key Laboratory of Oncogenes and Related Genes, Institute for Personalized Medicine, School of Biomedical Engineering, Shanghai Jiao Tong University, 1954 Huashan Road, Shanghai 200030, China
| | - Hongxia Li
- State Key Laboratory of Oncogenes and Related Genes, Institute for Personalized Medicine, School of Biomedical Engineering, Shanghai Jiao Tong University, 1954 Huashan Road, Shanghai 200030, China
| | - Sijia Yan
- State Key Laboratory of Oncogenes and Related Genes, Institute for Personalized Medicine, School of Biomedical Engineering, Shanghai Jiao Tong University, 1954 Huashan Road, Shanghai 200030, China
| | - Wenqiong Su
- State Key Laboratory of Oncogenes and Related Genes, Institute for Personalized Medicine, School of Biomedical Engineering, Shanghai Jiao Tong University, 1954 Huashan Road, Shanghai 200030, China
| | - Deng Cai
- Department of Thoracic Surgery, Shanghai Chest Hospital, Shanghai Jiao Tong University, 241 West Huaihai Road, Shanghai 200030, China
| | - Xianting Ding
- State Key Laboratory of Oncogenes and Related Genes, Institute for Personalized Medicine, School of Biomedical Engineering, Shanghai Jiao Tong University, 1954 Huashan Road, Shanghai 200030, China
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A rapid method for measuring serum oxidized albumin in a rat model of proteinuria and hypertension. Sci Rep 2019; 9:8620. [PMID: 31197181 PMCID: PMC6565692 DOI: 10.1038/s41598-019-45134-x] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2019] [Accepted: 05/31/2019] [Indexed: 12/13/2022] Open
Abstract
Oxidative stress is a risk for and cause of various disease, however, measurements of oxidative stress are either time-consuming or non-specific. Here, we established a rapid method of using high performance liquid chromatography (HPLC) to measure serum oxidized albumin in a rat model. We optimized HPLC conditions for rat oxidized albumin. To validate our method, three-week-old male Sprague-Dawley rats were uninephrectomized and treated normal diet, high salt diet or high salt diet with Tempol, a superoxide dismutase (SOD) mimetic. After 4 weeks of treatment, we analyzed serum oxidized albumin. The main findings are listed as below. (i) Our method of oxidized albumin measurement only takes 16 minutes, with an intra-day and inter-day deviation within 1% and a detection limit concentration of 6.4 mg/ml. (ii) Oxidized albumin levels were significantly higher in the high salt diet group than in the normal salt diet group, and this effect was reversed by Tempol. (iii) Oxidized albumin levels also correlated with urinary protein and 8-isoprostane levels. In conclusion, we have established a simple method for evaluating rat serum oxidized albumin using HPLC. Our method is rapid and has an advantage over conventional methods and may be useful for animal models of oxidative stress.
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An Overview on Human Umbilical Cord Blood Stem Cell-Based Alternative In Vitro Models for Developmental Neurotoxicity Assessment. Mol Neurobiol 2015; 53:3216-3226. [PMID: 26041658 DOI: 10.1007/s12035-015-9202-6] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2015] [Accepted: 04/29/2015] [Indexed: 01/05/2023]
Abstract
The developing brain is found highly vulnerable towards the exposure of different environmental chemicals/drugs, even at concentrations, those are generally considered safe in mature brain. The brain development is a very complex phenomenon which involves several processes running in parallel such as cell proliferation, migration, differentiation, maturation and synaptogenesis. If any step of these cellular processes hampered due to exposure of any xenobiotic/drug, there is almost no chance of recovery which could finally result in a life-long disability. Therefore, the developmental neurotoxicity (DNT) assessment of newly discovered drugs/molecules is a very serious concern among the neurologists. Animal-based DNT models have their own limitations such as ethical concerns and lower sensitivity with less predictive values in humans. Furthermore, non-availability of human foetal brain tissues/cells makes job more difficult to understand about mechanisms involve in DNT in human beings. Although, the use of cell culture have been proven as a powerful tool for DNT assessment, but many in vitro models are currently utilizing genetically unstable cell lines. The interpretation of data generated using such terminally differentiated cells is hard to extrapolate with in vivo situations. However, human umbilical cord blood stem cells (hUCBSCs) have been proposed as an excellent tool for alternative DNT testing because neuronal development from undifferentiated state could exactly mimic the original pattern of neuronal development in foetus when hUCBSCs differentiated into neuronal cells. Additionally, less ethical concern, easy availability and high plasticity make them an attractive source for establishing in vitro model of DNT assessment. In this review, we are focusing towards recent advancements on hUCBSCs-based in vitro model to understand DNTs.
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Neural Differentiation of Human Pluripotent Stem Cells for Nontherapeutic Applications: Toxicology, Pharmacology, and In Vitro Disease Modeling. Stem Cells Int 2015; 2015:105172. [PMID: 26089911 PMCID: PMC4454762 DOI: 10.1155/2015/105172] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2015] [Revised: 05/06/2015] [Accepted: 05/12/2015] [Indexed: 02/08/2023] Open
Abstract
Human pluripotent stem cells (hPSCs) derived from either blastocyst stage embryos (hESCs) or reprogrammed somatic cells (iPSCs) can provide an abundant source of human neuronal lineages that were previously sourced from human cadavers, abortuses, and discarded surgical waste. In addition to the well-known potential therapeutic application of these cells in regenerative medicine, these are also various promising nontherapeutic applications in toxicological and pharmacological screening of neuroactive compounds, as well as for in vitro modeling of neurodegenerative and neurodevelopmental disorders. Compared to alternative research models based on laboratory animals and immortalized cancer-derived human neural cell lines, neuronal cells differentiated from hPSCs possess the advantages of species specificity together with genetic and physiological normality, which could more closely recapitulate in vivo conditions within the human central nervous system. This review critically examines the various potential nontherapeutic applications of hPSC-derived neuronal lineages and gives a brief overview of differentiation protocols utilized to generate these cells from hESCs and iPSCs.
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