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Xu S, Yang G, Xu F, Yang Y, Wang J. Identification of prognostic biomarkers related to retinoic acid metabolism in gliomas and analysis of their impact on the immune microenvironment. Medicine (Baltimore) 2024; 103:e39836. [PMID: 39465792 PMCID: PMC11479434 DOI: 10.1097/md.0000000000039836] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/14/2023] [Accepted: 09/03/2024] [Indexed: 10/29/2024] Open
Abstract
Glioma is a primary tumor of the central nervous system. Numerous investigations have demonstrated that retinoic acid (RA) signaling plays an important role in glioblastoma. This research aimed to develop a RA metabolism-related gene signature associated with glioma. The RA metabolism-related differentially expressed genes were obtained through differential analysis of RA metabolism-related genes in GSE4290. The univariate Cox and least absolute shrinkage and selection operator regression analysis were adopted to build a RA metabolism-related glioma prognostic signature. We further conducted immune feature estimation and functional enrichment analysis between 2 risk subgroups. Finally, the potential drug-targeting prognostic genes were predicted through the DrugBank database. A sum of 10 RA metabolism-related differentially expressed genes between normal and tumor groups were identified. Then, a RA metabolism-related prognostic signature was built based on the 7 prognostic genes (ADH4, DHRS3, DHRS9, LRAT, RDH10, RDH12, and RDH5). Glioma patients were separated into 2 risk subgroups (low-risk vs high-risk) based on the median value of the risk score. We found that monocytes were negatively correlated with DHRS9, while activated naive CD4+T cell was positively correlated with RDH10. These prognostic genes participated in some immune-related processes, such as "B cell-mediated immunity." Finally, 4 drugs targeting DHRS3, LRAT, and RDH12 were predicted, including vitamin A, nicotinamide adenine dinucleotide, ethanol, and cyclohexylformamide. The prognostic signature comprised of ADH4, DHRS3, DHRS9, LRAT, RDH10, RDH12, and RDH5 based on RA metabolism was established, which provided a theoretical basis and reference value for the research of glioma.
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Affiliation(s)
- Suiyun Xu
- Department of Neurosurgery, The Second Affiliated Hospital of Xi’an, Jiaotong University, Xi’an, China
| | - Gao Yang
- Department of Neurosurgery, The Second Affiliated Hospital of Xi’an, Jiaotong University, Xi’an, China
| | - Fangli Xu
- Department of Radiotherapy, The Second Affiliated Hospital of Xi’an, Jiaotong University, Xi’an, China
| | - Yuting Yang
- Department of Radiotherapy, The Second Affiliated Hospital of Xi’an, Jiaotong University, Xi’an, China
| | - Juan Wang
- Department of Neurosurgery, Xijing Hospital, Airforce Military Medical University (Fourth Military Medical University), Xi’an, China
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2
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Zhao Z, Song Z, Wang Z, Zhang F, Ding Z, Zhao Z, Liu L, Fan T. Retinol dehydrogenase 10 promotes epithelial-mesenchymal transition in spinal cord gliomas via PI3K/AKT pathway. Int J Immunopathol Pharmacol 2024; 38:3946320241276336. [PMID: 39180753 PMCID: PMC11344904 DOI: 10.1177/03946320241276336] [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: 03/19/2024] [Accepted: 07/30/2024] [Indexed: 08/26/2024] Open
Abstract
Background: Spinal cord glioma (SCG), a rare subset of central nervous system (CNS) glioma, represents a complex challenge in neuro-oncology. There has been research showing that Retinol Dehydrogenase 10 (RDH10) may be a tumor promoting factor in brain glioma, but the biological effects of RDH10 remain undefined in SCG. Methods: We performed gene set enrichment analysis (GSEA) and unsupervised clustering analysis to investigate the roles of EMT (epithelial-mesenchymal transition) in glioma. DEG (differently expressed gene) screening and correlation analysis were conducted to filter the candidate genes which were closely associated with EMT process in SCG. Enrichment analysis and GSVA (Gene Set Variation Analysis) were conducted to investigate the potential mechanism of RDH10 for SCG. Trans-well and healing assay were performed to explore the role of RDH10 in the invasion of SCG. Western blotting was performed to evaluate the levels of markers in PI3K-AKT and EMT pathway. In vivo tests were conducted to verify the role of RDH10 in EMT process. Results: Bioinformatic analysis demonstrated the EMT pathway was associated with dismal prognosis of glioma. Further analysis demonstrated that RDH10 showed the strongest correlation with the EMT process. Retinol Dehydrogenase 10 expression was significantly increased in SCG tissues, correlating with advanced tumor grade and unfavorable prognosis. Functional analysis indicated that decreasing RDH10 levels impeded the invasive and migratory abilities of SCG cells, whereas increasing RDH10 levels augmented them. Enrichment analysis and western blot revealed that RDH10 regulated EMT process of SCG by PI3K-AKT pathway. We observed that the enhanced invasion ability and increased EMT-related protein induced by RDH10 overexpression can be suppressed by PI3K-AKT pathway inhibitor (LY294002). Conclusion: Our research found that RDH10 was an effective biomarker associated with tumor grade and prognosis of SCG. RDH10 could regulate EMT process of SCG through PI3K-AKT pathway.
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Affiliation(s)
- Zijun Zhao
- Spine Center, Sanbo Brain Hospital, Capital Medical University, Beijing, China
| | - Zihan Song
- Department of Neurosurgery, The Second Hospital of Hebei Medical University, Shijiazhuang, China
| | - Zairan Wang
- Department of Neurosurgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Fan Zhang
- Spine Center, Sanbo Brain Hospital, Capital Medical University, Beijing, China
| | - Ze Ding
- Spine Center, Sanbo Brain Hospital, Capital Medical University, Beijing, China
| | - Zongmao Zhao
- Department of Neurosurgery, The Second Hospital of Hebei Medical University, Shijiazhuang, China
| | - Liqiang Liu
- Department of Neurosurgery, The Second Hospital of Hebei Medical University, Shijiazhuang, China
| | - Tao Fan
- Spine Center, Sanbo Brain Hospital, Capital Medical University, Beijing, China
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Kong Y, Yang Y, Wu S, Li W. TWEAK promotes inflammatory response in liver fibrosis. J Biochem Mol Toxicol 2023; 37:e23483. [PMID: 37503908 DOI: 10.1002/jbt.23483] [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: 05/07/2023] [Revised: 06/15/2023] [Accepted: 07/20/2023] [Indexed: 07/29/2023]
Abstract
This study aimed to investigate the role and mechanism of tumor necrosis factor-like weak inducer of apoptosis (TWEAK) in liver fibrosis. The liver Kupffer cells (KCs) and mononuclear macrophages (J774A.1) were used as the objects of study to induce M1 polarization with LPS/IFN-γ. After TWEAK intervention, the M1 cell proportion and marker cytokine levels were detected. Thereafter, CD266 expression was silenced, and NLRP3 expression was inhibited by the NLRP3 inhibitor, so as to investigate the impact of TWEAK on M1 polarization of KCs. In addition, the mouse model of liver fibrosis was constructed to observe the influence of TWEAK on mouse liver fibrosis. According to our results, TWEAK promoted M1 polarization of liver KCs and J774A.1 cells, and silencing CD266 expression or treatment with the NLRP3 inhibitor suppressed the effect of TWEAK. In the mouse experiment, it was discovered that after knocking down NLRP3 expression or using NLRP3 inhibitor to antagonize the effect of TWEAK, the mouse liver function and M1 cell level in liver tissues were improved.
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Affiliation(s)
- Yun Kong
- Department of Pharmacy, The Second Affiliated Hospital of Jiaxing University, Jiaxing, China
| | - Yi Yang
- Department of Pharmacy, The Second Affiliated Hospital of Jiaxing University, Jiaxing, China
| | - Shasha Wu
- Department of Pharmacy, The Second Affiliated Hospital of Jiaxing University, Jiaxing, China
| | - Wenyan Li
- Department of Pharmacy, The Second Affiliated Hospital of Jiaxing University, Jiaxing, China
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Wang Z, Dai Z, Zhang H, Zhang N, Liang X, Peng L, Zhang J, Liu Z, Peng Y, Cheng Q, Liu Z. Comprehensive analysis of pyroptosis-related gene signatures for glioblastoma immune microenvironment and target therapy. Cell Prolif 2023; 56:e13376. [PMID: 36681858 PMCID: PMC9977674 DOI: 10.1111/cpr.13376] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2022] [Revised: 10/25/2022] [Accepted: 11/16/2022] [Indexed: 01/23/2023] Open
Abstract
Glioblastoma (GBM) is a malignant brain tumour, but its subtypes (mesenchymal, classical, and proneural) show different prognoses. Pyroptosis is a programmed cell death relating to tumour progression, but its association with GBM is poorly understood. In this work, we collected 73 GBM samples (the Xiangya GBM cohort) and reported that pyroptosis involves tumour-microglia interaction and tumour response to interferon-gamma. GBM samples were grouped into different subtypes, cluster 1 and cluster 2, based on pyroptosis-related genes. Cluster 1 samples manifested a worse prognosis and had a more complicated immune landscape than cluster 2 samples. Single-cell RNA-seq data analysis supported that cluster 1 samples respond to interferon-gamma more actively. Moreover, the machine learning algorithm screened several potential compounds, including nutlin-3, for cluster 1 samples as a novel treatment. In vitro experiments supported that cluster 1 cell line, T98G, is more sensitive to nutlin-3 than cluster 2 cell line, LN229. Nutlin-3 can trigger oxidative stress by increasing DHCR24 expression. Moreover, pyroptosis-resistant genes were upregulated in LN229, which may participate against nutlin-3. Therefore, we hypothesis that GBM may be able to upregulate pyroptosis resistant related genes to against nutlin-3-triggered cell death. In summary, we conclude that pyroptosis highly associates with GBM progression, tumour immune landscape, and tumour response to nutlin-3.
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Affiliation(s)
- Zeyu Wang
- Department of Neurosurgery, Xiangya HospitalCentral South UniversityChangshaChina
- National Clinical Research Center for Geriatric DisordersChangshaChina
- MRC Centre for Regenerative Medicine, Institute for Regeneration and RepairUniversity of EdinburghEdinburghUK
| | - Ziyu Dai
- Department of Neurosurgery, Xiangya HospitalCentral South UniversityChangshaChina
- National Clinical Research Center for Geriatric DisordersChangshaChina
| | - Hao Zhang
- Department of Neurosurgery, Xiangya HospitalCentral South UniversityChangshaChina
- National Clinical Research Center for Geriatric DisordersChangshaChina
| | - Nan Zhang
- Department of Neurosurgery, Xiangya HospitalCentral South UniversityChangshaChina
- One‐Third Lab, College of Bioinformatics Science and TechnologyHarbin Medical UniversityHarbinChina
| | - Xisong Liang
- Department of Neurosurgery, Xiangya HospitalCentral South UniversityChangshaChina
- National Clinical Research Center for Geriatric DisordersChangshaChina
| | - Luo Peng
- Department of Oncology, Zhujiang HospitalSouthern Medical UniversityGuangzhouChina
| | - Jian Zhang
- Department of Interventional RadiologyThe First Affiliated Hospital of Zhengzhou UniversityZhengzhouChina
| | - Zaoqu Liu
- Department of Interventional RadiologyThe First Affiliated Hospital of Zhengzhou UniversityZhengzhouChina
| | - Yun Peng
- Department of Geriatrics, Xiangya HospitalCentral South UniversityChangshaChina
- Teaching and Research Section of Clinical NursingXiangya Hospital of Central South UniversityChangshaChina
| | - Quan Cheng
- Department of Neurosurgery, Xiangya HospitalCentral South UniversityChangshaChina
- National Clinical Research Center for Geriatric DisordersChangshaChina
| | - Zhixiong Liu
- Department of Neurosurgery, Xiangya HospitalCentral South UniversityChangshaChina
- National Clinical Research Center for Geriatric DisordersChangshaChina
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Murakami A, Amano T, Yoshino F, Kita H, Moritani S, Murakami T, Chano T. Retinol dehydrogenase 10 contributes to cancer stemness and intracellular carbohydrate storage in ovarian clear cell carcinomas. Cancer Biomark 2022; 34:673-679. [PMID: 35634847 DOI: 10.3233/cbm-210435] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND Ovarian clear cell carcinomas (OCCCs) have been recurrent and refractory among the present treatments, so novel therapeutics are urgently needed. OBJECTIVE The present study accumulates the proof of concept to examine the feasibility of RDH10 as a therapeutic target for treating OCCCs. METHODS Immunohistochemically, RDH10 expression was evaluated in 111 primary epithelial ovarian cancers, including 55 OCCCs, 31 ovarian endometrioid carcinomas and 25 ovarian serous carcinomas. The spherogenecity provoked by RDH10 was evaluated in OCCC cells. To analyze whether RDH10 promotes carbohydrate storage via the vitamin A-gluconeogenesis pathway, phosphoenolpyruvate carboxykinase 1 (PCK1) protein levels and intracellular carbohydrate content were measured in response to modified RDH10 expression. RESULTS Abundant RDH10 was expressed specifically in OCCCs. RDH10 promoted spherogenecity and intracellular carbohydrate storage via modulation of PCK1 expression in OCCC cells. CONCLUSIONS In the present study, abundant RDH10 contributed to cancer cell stemness and intracellular carbohydrate storage in OCCCs. RDH10 is a potentially, new therapeutic candidate for treating OCCC cases.
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Affiliation(s)
- Atsushi Murakami
- Department of Obstetrics and Gynecology, Shiga University of Medical Science, Otsu, Shiga, Japan
| | - Tsukuru Amano
- Department of Obstetrics and Gynecology, Shiga University of Medical Science, Otsu, Shiga, Japan
| | - Fumi Yoshino
- Department of Obstetrics and Gynecology, Shiga University of Medical Science, Otsu, Shiga, Japan
| | - Hiroko Kita
- Department of Clinical Laboratory Medicine, Shiga University of Medical Science, Otsu, Shiga, Japan
| | - Suzuko Moritani
- Department of Clinical Laboratory Medicine, Shiga University of Medical Science, Otsu, Shiga, Japan
| | - Takashi Murakami
- Department of Obstetrics and Gynecology, Shiga University of Medical Science, Otsu, Shiga, Japan
| | - Tokuhiro Chano
- Department of Clinical Laboratory Medicine, Shiga University of Medical Science, Otsu, Shiga, Japan.,Department of Medical Genetics, Shiga University of Medical Science, Otsu, Shiga, Japan
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Antioxidants and Therapeutic Targets in Ovarian Clear Cell Carcinoma. Antioxidants (Basel) 2021; 10:antiox10020187. [PMID: 33525614 PMCID: PMC7911626 DOI: 10.3390/antiox10020187] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2020] [Revised: 01/22/2021] [Accepted: 01/24/2021] [Indexed: 01/04/2023] Open
Abstract
Ovarian clear cell carcinomas (OCCCs) are resistant to conventional anti-cancer drugs; moreover, the prognoses of advanced or recurrent patients are extremely poor. OCCCs often arise from endometriosis associated with strong oxidative stress. Of note, the stress involved in OCCCs can be divided into the following two categories: (a) carcinogenesis from endometriosis to OCCC and (b) factors related to treatment after carcinogenesis. Antioxidants can reduce the risk of OCCC formation by quenching reactive oxygen species (ROS); however, the oxidant stress-tolerant properties assist in the survival of OCCC cells when the malignant transformation has already occurred. Moreover, the acquisition of oxidative stress resistance is also involved in the cancer stemness of OCCC. This review summarizes the recent advances in the process and prevention of carcinogenesis, the characteristic nature of tumors, and the treatment of post-refractory OCCCs, which are highly linked to oxidative stress. Although therapeutic approaches should still be improved against OCCCs, multi-combinatorial treatments including nucleic acid-based drugs directed to the transcriptional profile of each OCCC are expected to improve the outcomes of patients.
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Retinol dehydrogenase 10 promotes metastasis of glioma cells via the transforming growth factor-β/SMAD signaling pathway. Chin Med J (Engl) 2020; 132:2430-2437. [PMID: 31613821 PMCID: PMC6831065 DOI: 10.1097/cm9.0000000000000478] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022] Open
Abstract
Background: Glioma is the most common primary malignant tumor in the central nervous system. Because of the resistance of glioma to chemoradiotherapy and its aggressive growth, the survival rate of patients with glioma has not improved. This study aimed to disclose the effect of retinol dehydrogenase 10 (RDH10) on the migration and invasion of glioma cells, and to explore the potential mechanism. Methods: Reverse transcription-polymerase chain reaction (RT-PCR) was used to determine the expression levels of RDH10 in healthy glial cells and glioma cells. Human glioma cell strains, U87 and U251, were infected with negative control or RDH10-interfering lentiviruses. RT-PCR and Western blotting were performed to determine the knockdown efficiency. Scratch and transwell assays were used to assess cell migration and invasion after RDH10 knockdown. Finally, changes in transforming growth factor-β (TGF-β)/SMAD signaling pathway-related expression were examined by Western blotting. Differences between groups were analyzed by one-way analysis of variance. Results: RDH10 was highly expressed in glioma cells. Compared with the control group, RDH10 knockdown significantly reduced RDH10 messenger RNA and protein expression levels in U87 and U251 glioma cells (U87: 1.00 ± 0.08 vs. 0.22 ± 0.02, t = 16.55, P < 0.001; U251: 1.00 ± 0.17 vs. 0.39 ± 0.01, t = 6.30, P < 0.001). The scratch assay indicated that compared with the control group, RDH10 knockdown significantly inhibited the migration of glioma cells (U87: 1.00% ± 0.04% vs. 2.00% ± 0.25%, t = 6.08, P < 0.01; U251: 1.00% ± 0.11% vs. 2.48% ± 0.31%, t = 5.79, P < 0.01). Furthermore, RDH10 knockdown significantly inhibited the invasive capacity of glioma cells (U87: 97.30 ± 7.01 vs. 13.70 ± 0.58, t = 20.36, P < 0.001; U251: 96.20 ± 7.10 vs. 18.30 ± 2.08, t = 18.51, P < 0.001). Finally, Western blotting demonstrated that compared with the control group, downregulation of RDH10 significantly inhibited TGF-β expression, phosphorylated SMAD2, and phosphorylated SMAD3 (TGF-β: 1.00 ± 0.10 vs. 0.53 ± 0.06, t = 7.05, P < 0.01; phosphorylated SMAD2: 1.00 ± 0.20 vs. 0.42 ± 0.17, t = 4.01, P < 0.01; phosphorylated SMAD3: 1.00 ± 0.18 vs. 0.41 ± 0.12, t = 4.12, P < 0.01). Conclusion: RDH10 knockdown might inhibit metastasis of glioma cells via the TGF-β/SMAD signaling pathway.
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Xiao G, Lyu M, Wang Y, He S, Liu X, Ni J, Li L, Fan G, Han J, Gao X, Wang X, Zhu Y. Ginkgo Flavonol Glycosides or Ginkgolides Tend to Differentially Protect Myocardial or Cerebral Ischemia-Reperfusion Injury via Regulation of TWEAK-Fn14 Signaling in Heart and Brain. Front Pharmacol 2019; 10:735. [PMID: 31333457 PMCID: PMC6624656 DOI: 10.3389/fphar.2019.00735] [Citation(s) in RCA: 41] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2019] [Accepted: 06/07/2019] [Indexed: 12/26/2022] Open
Abstract
Shuxuening injection (SXNI), one of the pharmaceutical preparations of Ginkgo biloba extract, has significant effects on both ischemic stroke and heart diseases from bench to bedside. Its major active ingredients are ginkgo flavonol glycosides (GFGs) and ginkgolides (GGs). We have previously reported that SXNI as a whole protected ischemic brain and heart, but the active ingredients and their contribution to the therapeutic effects remain unclear. Therefore, we combined experimental and network analysis approach to further explore the specific effects and underlying mechanisms of GFGs and GGs of SXNI on ischemia–reperfusion injury in mouse brain and heart. In the myocardial ischemia–reperfusion injury (MIRI) model, pretreatment with GFGs at 2.5 ml/kg was superior to the same dose of GGs in improving cardiac function and coronary blood flow and reducing the levels of lactate dehydrogenase and aspartate aminotransferase in serum, with an effect similar to that achieved by SXNI. In contrast, pretreatment with GGs at 2.5 ml/kg reduced cerebral infarction area and cerebral edema similarly to that of SXNI but more significantly compared with GFGs in cerebral ischemia–reperfusion injury (CIRI) model. Network pharmacology analysis of GFGs and GGs revealed that tumor necrosis factor-related weak inducer of apoptosis (TWEAK)–fibroblast growth factor-inducible 14 (Fn14) signaling pathway as an important common mechanism but with differential targets in MIRI and CIRI. In addition, immunohistochemistry and enzyme linked immunosorbent assay (ELISA) assays were performed to evaluate the regulatory roles of GFGs and GGs on the common TWEAK–Fn14 signaling pathway to protect the heart and brain. Experimental results confirmed that TWEAK ligand and Fn14 receptor were downregulated by GFGs to mitigate MIRI in the heart while upregulated by GGs to improve CIRI in the brain. In conclusion, our study showed that GFGs and GGs of SXNI tend to differentially protect brain and heart from ischemia–reperfusion injuries at least in part by regulating a common TWEAK–Fn14 signaling pathway.
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Affiliation(s)
- Guangxu Xiao
- Tianjin State Key Laboratory of Modern Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, China.,Research and Development Center of TCM, Tianjin International Joint Academy of Biotechnology & Medicine, Tianjin, China
| | - Ming Lyu
- Tianjin State Key Laboratory of Modern Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, China.,Research and Development Center of TCM, Tianjin International Joint Academy of Biotechnology & Medicine, Tianjin, China.,Institute of Chinese Materia Medica, China Academy of Chinese Medicial Sciences, Beijing, China
| | - Yule Wang
- Tianjin State Key Laboratory of Modern Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, China.,Research and Development Center of TCM, Tianjin International Joint Academy of Biotechnology & Medicine, Tianjin, China
| | - Shuang He
- Tianjin State Key Laboratory of Modern Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, China.,Research and Development Center of TCM, Tianjin International Joint Academy of Biotechnology & Medicine, Tianjin, China
| | - Xinyan Liu
- Tianjin State Key Laboratory of Modern Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, China.,Research and Development Center of TCM, Tianjin International Joint Academy of Biotechnology & Medicine, Tianjin, China
| | - Jingyu Ni
- Tianjin State Key Laboratory of Modern Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, China.,Medical Experiment Center, First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin, China
| | - Lan Li
- Tianjin State Key Laboratory of Modern Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, China.,Medical Experiment Center, First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin, China
| | - Guanwei Fan
- Medical Experiment Center, First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin, China
| | - Jihong Han
- College of Life Sciences, Key Laboratory of Medicinal Chemical Biology, Key Laboratory of Bioactive Materials of Ministry of Education, Nankai University, Tianjin, China; College of Biomedical Engineering, Hefei University of Technology, Hefei, China
| | - Xiumei Gao
- Tianjin State Key Laboratory of Modern Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, China
| | - Xiaoying Wang
- Tianjin State Key Laboratory of Modern Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, China.,Neuroprotection Research Laboratory, Departments of Radiology and Neurology, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, United States
| | - Yan Zhu
- Tianjin State Key Laboratory of Modern Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, China.,Research and Development Center of TCM, Tianjin International Joint Academy of Biotechnology & Medicine, Tianjin, China
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