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Li XM, Li MY, Han GL, You K, Jin H, Xiang QY, Li Y. [Incidence and case fatality rates of cardiovascular diseases in urban and rural community-dwelling populations in eastern, central and western regions of China]. Zhonghua Xin Xue Guan Bing Za Zhi 2024; 52:191-198. [PMID: 38326072 DOI: 10.3760/cma.j.cn112148-20231008-00255] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 02/09/2024]
Abstract
Objective: To evaluate the incidence and case fatality rate of cardiovascular disease (CVD) among populations in urban and rural communities in eastern, central and western regions of China. Methods: The present study was based on the data of the Prospective Urban and Rural Epidemiology (PURE)-China cohort, which enrolled participants who had at least one follow-up visit and complete information on age and sex. Information on baseline demographics, cardiovascular risk factors, and prevention and treatment for CVD were collected. CVD and mortality events were documented using the standardized case report form of the PURE Global Study to assess the incidence and case fatality rate of CVD among populations in urban and rural communities in eastern, central and western China. Results: This study included a total of 47 262 community-dwelling participants (age: (51.1±9.6) years; female, n=27 529, 58.2%) from 115 urban and rural communities in 12 provinces across the eastern, central, and western regions of China. Over a follow-up period of 11.9 (9.5, 12.6) years, 2 686 deaths and 5 873 cardiovascular events were documented. The incidence of CVD was 11.90 (95%CI: 11.60-12.21)/1 000 person-years. A significant difference in CVD incidence was observed across regions (Ptrend<0.001), which was highest in the western provinces (13.99 (95%CI: 13.33-14.65)/1 000 person-years), intermediate in the eastern provinces (11.92 (95%CI: 11.52-12.33)/1 000 person-years), and lowest in the central provinces (8.87 (95%CI: 8.25-9.50)/1 000 person-years). The 1-year case fatality rate of CVD demonstrated an increasing trend from eastern to western regions (eastern: 10.20% (95%CI: 6.95-14.73); central: 13.50% (95%CI: 9.90-18.14); western: 18.62% (95%CI: 14.95-22.94); Ptrend<0.001). Moreover, the incidence of major CVD was consistently higher in rural areas compared with urban areas across eastern (P<0.001), central (P=0.01) and western (P<0.001)_regions, respectively. The 1-year case fatality rate in rural areas was also significantly higher compared with that in urban areas in both eastern (P<0.001) and western regions (P=0.02). Conclusions: The incidence and case fatality rate of CVD were high among middle-aged population in China, especially those in western regions with low socioeconomic levels and in rural areas.
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Affiliation(s)
- X M Li
- Medical Research and Biometrics Center, National Center for Cardiovascular Diseases, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 102308, China
| | - M Y Li
- Medical Research and Biometrics Center, National Center for Cardiovascular Diseases, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 102308, China
| | - G L Han
- Medical Research and Biometrics Center, National Center for Cardiovascular Diseases, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 102308, China
| | - K You
- Shunyi District Center for Disease Control and Prevention, Beijing 101399, China
| | - H Jin
- Department of Preventive Medicine, Jishuitan Hospital, Beijing 102208, China
| | - Q Y Xiang
- Jiangsu Provincial Center for Disease Control and Prevention, Nanjing 210009, China
| | - Y Li
- Medical Research and Biometrics Center, National Center for Cardiovascular Diseases, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 102308, China
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2
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Abbas N, You K, Getachew A, Wu F, Hussain M, Huang X, Chen Y, Pan T, Li Y. Kupffer cells abrogate homing and repopulation of allogeneic hepatic progenitors in injured liver site. Stem Cell Res Ther 2024; 15:48. [PMID: 38378583 PMCID: PMC10877762 DOI: 10.1186/s13287-024-03656-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2023] [Accepted: 02/05/2024] [Indexed: 02/22/2024] Open
Abstract
BACKGROUND Allogeneic hepatocyte transplantation is an emerging approach to treat acute liver defects. However, durable engraftment of the transplanted cells remains a daunting task, as they are actively cleared by the recipient's immune system. Therefore, a detailed understanding of the innate or adaptive immune cells-derived responses against allogeneic transplanted hepatic cells is the key to rationalize cell-based therapies. METHODS Here, we induced an acute inflammatory regenerative niche (3-96 h) on the surface of the liver by the application of cryo-injury (CI) to systematically evaluate the innate immune response against transplanted allogeneic hepatic progenitors in a sustained micro-inflammatory environment. RESULTS The resulting data highlighted that the injured site was significantly repopulated by alternating numbers of innate immune cells, including neutrophils, monocytes and Kupffer cells (KCs), from 3 to 96 h. The transplanted allo-HPs, engrafted 6 h post-injury, were collectively eliminated by the innate immune response within 24 h of transplantation. Selective depletion of the KCs demonstrated a delayed recruitment of monocytes from day 2 to day 6. In addition, the intrasplenic engraftment of the hepatic progenitors 54 h post-transplantation was dismantled by KCs, while a time-dependent better survival and translocation of the transplanted cells into the injured site could be observed in samples devoid of KCs. CONCLUSION Overall, this study provides evidence that KCs ablation enables a better survival and integration of allo-HPs in a sustained liver inflammatory environment, having implications for rationalizing the cell-based therapeutic interventions against liver defects.
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Affiliation(s)
- Nasir Abbas
- Center for Health Research, Guangdong Provincial Key Laboratory of Biocomputing, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, 510530, China
- Centre for Regenerative Medicine and Health (CRMH), Hong Kong Institute of Science and Innovation, Chinese Academy of Sciences, Hong Kong, Hong Kong SAR, China
| | - Kai You
- Center for Health Research, Guangdong Provincial Key Laboratory of Biocomputing, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, 510530, China
| | - Anteneh Getachew
- Department of Biomedical Engineering, The University of Alabama at Birmingham, Birmingham, USA
| | - Feima Wu
- Center for Health Research, Guangdong Provincial Key Laboratory of Biocomputing, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, 510530, China
| | - Muzammal Hussain
- Department of Biochemistry and Molecular Pharmacology, New York University Grossman School of Medicine, New York, NY, 10016, USA
| | - Xinping Huang
- Center for Health Research, Guangdong Provincial Key Laboratory of Biocomputing, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, 510530, China
| | - Yan Chen
- Center for Health Research, Guangdong Provincial Key Laboratory of Biocomputing, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, 510530, China
- Key Laboratory of Stem Cell and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, 510530, China
- CAS Key Laboratory of Regenerative Biology, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, 510530, China
| | - Tingcai Pan
- Department of Hepatobiliary Surgery II, Zhujiang Hospital, Southern Medical University, Guangzhou, 510280, Guangdong Province, China
| | - Yinxiong Li
- Center for Health Research, Guangdong Provincial Key Laboratory of Biocomputing, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, 510530, China.
- Key Laboratory of Stem Cell and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, 510530, China.
- CAS Key Laboratory of Regenerative Biology, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, 510530, China.
- State Key Laboratory of Respiratory Disease, Guangzhou, 510000, China.
- China-New Zealand Joint Laboratory of Biomedicine and Health, Guangzhou, 510530, China.
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Mu S, You K, Song T, Li Y, Wang L, Shi J. Identification for the species of aquatic higher plants in the Taihu Lake basin based on hyperspectral remote sensing. Environ Monit Assess 2023; 195:989. [PMID: 37491640 DOI: 10.1007/s10661-023-11523-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/07/2022] [Accepted: 06/17/2023] [Indexed: 07/27/2023]
Abstract
Aquatic plants are crucial for aquatic ecosystems and their species and distribution reflect aquatic ecosystem health. Remote sensing technology has been used to monitor plant distributions over large scales. However, the fine identification of the species of aquatic higher plants is challenging due to large temporal-spatial changes in optical water body properties and small spectral differences among plant species. Here, an aquatic plant identification method was developed by constructing a decision tree file in the C4.5 algorithm based on the canopy spectra of eight plants in the Changguangxi Wetland water area from hyperspectral remote sensing technology. The method was used to monitor the distribution of different plants in the Changguangxi Wetland area and two other water areas. The results showed that the spectral characteristics of plants were enhanced by calculating their spectral index, thereby improving the comparability among different species. The total recognition accuracy of the constructed decision tree file for eight types of plants was 85.02%. Nymphaea tetragona, Pontederia cordata, and Nymphoides peltatum had the highest recognition accuracy and Eichhornia crassipes was the lowest. The specific species and distributions of aquatic plants were consistent with the water quality in the area. The results can provide a reference for the accurate identification of aquatic plants in the same type of water area.
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Affiliation(s)
- Shichen Mu
- Jiangsu Key Laboratory of Anaerobic Biotechnology, College of Environment and Civil Engineering, Jiangnan University, Wuxi, 214122, China
| | - Kai You
- Jiangsu Key Laboratory of Anaerobic Biotechnology, College of Environment and Civil Engineering, Jiangnan University, Wuxi, 214122, China
| | - Ting Song
- Wuxi Environmental Monitoring Central Station, Wuxi, 214121, China
| | - Yajie Li
- School of Environmental Science and Engineering Jiangsu Provincial Key Laboratory of Environmental Science and Engineering, Suzhou University of Science and Technology, Suzhou, Jiangsu Province, 215009, China
| | - Lihong Wang
- Jiangsu Key Laboratory of Anaerobic Biotechnology, College of Environment and Civil Engineering, Jiangnan University, Wuxi, 214122, China.
| | - Junzhe Shi
- Wuxi Environmental Monitoring Central Station, Wuxi, 214121, China
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Xia Y, Liang C, Kang J, You K, Xiong Y. Obstructive Sleep Apnea and Obesity Are Associated with Hypertension in a Particular Pattern: A Retrospective Study. Healthcare (Basel) 2023; 11:healthcare11030402. [PMID: 36766978 PMCID: PMC9913941 DOI: 10.3390/healthcare11030402] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2022] [Revised: 01/21/2023] [Accepted: 01/28/2023] [Indexed: 02/04/2023] Open
Abstract
Obstructive sleep apnea (OSA) and obesity can increase the risk of hypertension, but the combined effects of these two conditions on hypertension are not yet known. We collected the basic characteristics, sleep parameters, and glucose levels of subjects with a polysomnography test and divided them into four groups, according to whether they had severe OSA and obesity or not. The main effects of severe OSA and obesity and the interactions of the two on systolic blood pressure (SBP) and diastolic blood pressure (DBP) levels were detected using analysis of covariance. The association between obesity and severe OSA and abnormal blood pressure and their combined effects were detected with logistic regression. In total, 686 subjects were included. After adjusting for multiple confounding factors, the strong main effects of obesity and severe OSA were detected in the SBP and DBP levels, with no combined effects from the two conditions on SBP or DBP. Obesity was independently associated with the presence of hyper-systolic blood pressure (hyper-SBP) and hypertension, and severe OSA was independently associated with the presence of hyper diastolic blood pressure (hyper-DBP) and hypertension. No effects of the interaction between severe OSA and obesity on the presence of abnormal blood pressure were observed. Both severe OSA and obesity were associated with hypertension, while obesity was closely associated with hyper-SBP, and severe OSA was associated with hyper-DBP. No effects of the interaction between these two on hypertension were observed.
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Affiliation(s)
- Yunyan Xia
- Department of Otorhinolaryngology–Head and Neck Surgery, First Affiliated Hospital of Nanchang University, Nanchang 330006, China
| | - Caihong Liang
- Department of Otorhinolaryngology–Head and Neck Surgery, First Affiliated Hospital of Nanchang University, Nanchang 330006, China
| | - Junxin Kang
- Department of Otorhinolaryngology–Head and Neck Surgery, First Affiliated Hospital of Nanchang University, Nanchang 330006, China
| | - Kai You
- Department of Anesthesiology, First Affiliated Hospital of Nanchang University, Nanchang 330006, China
- Correspondence: (K.Y.); (Y.X.)
| | - Yuanping Xiong
- Department of Otorhinolaryngology–Head and Neck Surgery, First Affiliated Hospital of Nanchang University, Nanchang 330006, China
- Correspondence: (K.Y.); (Y.X.)
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5
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You K, Wang Y, Chen X, Yang Z, Chen Y, Tan S, Tao J, Getachew A, Pan T, Xu Y, Zhuang Y, Yang F, Lin X, Li Y. Neutralizing serum amyloid a protects against sinusoidal endothelial cell damage and platelet aggregation during acetaminophen-induced liver injury. Biochem Biophys Res Commun 2023; 639:20-28. [PMID: 36463757 DOI: 10.1016/j.bbrc.2022.11.079] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2022] [Revised: 11/08/2022] [Accepted: 11/25/2022] [Indexed: 11/29/2022]
Abstract
Serum amyloid A (SAA) is an acute response protein that mainly produced by hepatocytes, and it can promote endothelial dysfunction via a pro-inflammatory and pro-thrombotic effect in atherosclerosis and renal disease. Overdose of Acetaminophen (APAP) will cause hepatotoxicity accompany with hepatocyte necrosis, liver sinusoidal endothelial cells (LSECs) damage and thrombosis in liver. However, whether SAA plays a role in APAP-induced liver toxicity remains unclear. Here, we evaluated the Saa1/2 expression in APAP-induced liver injury, and found that Saa1/2 production was significantly increased in an autocrine manner in APAP injury model. Moreover, we used neutralizing antibody (anti-SAA) to block the function of serum Saa1/2. We found that neutralizing serum Saa1/2 protected against APAP-induced liver injuries and increased the survival rate of mice that were treated with lethal dose APAP. Further investigations showed that blocking Saa1/2 reduced APAP-induced sinusoidal endothelium damage, hemorrhage and thrombosis. In addition, in vitro experiments showed that Saa1/2 augmented the toxic effect of APAP on LSECs, and Saa1/2 promoted platelets aggregation on LSECs cell membrane. Taken together, this study suggests that Saa1/2 may play a critical role in APAP-induced liver damages through platelets aggregation and sinusoidal damage. Therefore, we conceptually demonstrate that inhibition of SAA may be a potential intervention for APAP-directed acute liver injuries.
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Affiliation(s)
- Kai You
- Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China.
| | - Yan Wang
- Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
| | - Xiaoxia Chen
- Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
| | - Zhen Yang
- Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China; University of Chinese Academy of Sciences, Beijing, China
| | - Yan Chen
- Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
| | - Shenglin Tan
- Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China; University of Chinese Academy of Sciences, Beijing, China
| | - Jiawang Tao
- Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
| | - Anteneh Getachew
- Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
| | - Tingcai Pan
- Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
| | - Yingying Xu
- Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
| | - Yuanqi Zhuang
- Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
| | - Fan Yang
- Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
| | - Xianhua Lin
- Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
| | - Yinxiong Li
- Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China; University of Chinese Academy of Sciences, Beijing, China; Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, Guangzhou, China; Bioland Laboratory (Guangzhou Regenerative Medicine and Health Guangdong Laboratory), Guangzhou, China.
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Yang Z, Huang X, Zhang J, You K, Xiong Y, Fang J, Getachew A, Cheng Z, Yu X, Wang Y, Wu F, Wang N, Feng S, Lin X, Yang F, Chen Y, Wei H, Li YX. Hepatic DKK1-driven steatosis is CD36 dependent. Life Sci Alliance 2022; 6:6/1/e202201665. [PMID: 36410795 PMCID: PMC9679335 DOI: 10.26508/lsa.202201665] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2022] [Revised: 10/27/2022] [Accepted: 10/27/2022] [Indexed: 11/22/2022] Open
Abstract
Nonalcoholic fatty liver disease (NAFLD) is prevalent worldwide; about 25% of NAFLD silently progress into steatohepatitis, in which some of them may develop into fibrosis, cirrhosis and liver failure. However, few drugs are available for NAFLD, partly because of an incomplete understanding of its pathogenic mechanisms. Here, using in vivo and in vitro gain- and loss-of-function approaches, we identified up-regulated DKK1 plays a pivotal role in high-fat diet-induced NAFLD and its progression. Mechanistic analysis reveals that DKK1 enhances the capacity of hepatocytes to uptake fatty acids through the ERK-PPARγ-CD36 axis. Moreover, DKK1 increased insulin resistance by activating the JNK signaling, which in turn exacerbates disorders of hepatic lipid metabolism. Our finding suggests that DKK1 may be a potential therapeutic and diagnosis candidate for NAFLD and metabolic disorder progression.
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Affiliation(s)
- Zhen Yang
- Center for Health Research, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China,University of Chinese Academy of Sciences, Beijing, China
| | - Xinping Huang
- Center for Health Research, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China,University of Chinese Academy of Sciences, Beijing, China
| | - Jiaye Zhang
- Center for Health Research, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
| | - Kai You
- Center for Health Research, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
| | - Yue Xiong
- Center for Health Research, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
| | - Ji Fang
- Center for Health Research, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
| | - Anteneh Getachew
- Center for Health Research, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
| | - Ziqi Cheng
- Center for Health Research, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China,University of Chinese Academy of Sciences, Beijing, China
| | - Xiaorui Yu
- Center for Health Research, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China,School of Life Sciences, University of Science and Technology of China, Hefei, China
| | - Yan Wang
- Center for Health Research, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
| | - Feima Wu
- Center for Health Research, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
| | - Ning Wang
- Center for Health Research, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
| | - Shufen Feng
- Department of Gastroenterology, First Affiliated Hospital of Jinan University, Guangzhou, China
| | - Xianhua Lin
- Center for Health Research, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
| | - Fan Yang
- Ministry of Education CNS Regeneration Collaborative Joint Laboratory, Guangdong-Hongkong-Macau Institute of CNS Regeneration, Jinan University, Guangzhou, China
| | - Yan Chen
- Center for Health Research, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
| | - Hongcheng Wei
- Department of Gastroenterology, First Affiliated Hospital of Jinan University, Guangzhou, China
| | - Yin-xiong Li
- Center for Health Research, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China,University of Chinese Academy of Sciences, Beijing, China,Key Laboratory of Stem Cell and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China,CAS Key Laboratory of Regenerative Biology, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China,Guangdong Provincial Key Laboratory of Biocomputing, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China,State Key Laboratory of Respiratory Disease, Guangzhou, China,China-New Zealand Joint Laboratory on Biomedicine and Health, Guangzhou, China,Correspondence:
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7
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Tang Y, Tian F, Miao X, Wu D, Wang Y, Wang H, You K, Li Q, Zhao S, Wang W. Heart-on-a-chip using human iPSC-derived cardiomyocytes with integrated vascular endothelial layer based on culture patch as a potential platform for drug evaluation. Biofabrication 2022; 15. [PMID: 36195063 DOI: 10.1088/1758-5090/ac975d] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2022] [Accepted: 10/04/2022] [Indexed: 11/12/2022]
Abstract
Many strategies have been adopted to construct in vitro myocardium models, which are of great value to both drug cardiotoxicity evaluation and cardiovascular drug development. Especially the recent rapid development of human induced pluripotent stem cell (hiPSC) technology and the rise of organ-on-a-chip technique provide great potential to achieve more physiologically relevant in vitro models. However, the recapitulation of the key role of the vasculature endothelial layer for the drug action on myocardium in the models is still challenging. In this work, we developed an openable heart-on-a-chip system using highly purified functional hiPSC derived cardiomyocytes (hiPSC-CMs) with integrated a vascular endothelial layer based on our previous proposed culture patch method. The purity and functionality of the differentiated hiPSC-CMs were characterized, which were applied into the lower chamber of the sandwich-structured device to form the CM layer. The integrity and cell morphology of the endothelial layer on culture patch as well as the influence of fluid shear force were studied, which was integrated in between the upper and lower chambers. The constructed heart-on-a-chip was finally applied for drug testing. The effect of two cardiac targeting drugs (isoproterenol and E-4031) directly on the hiPSC-CMs or after penetrating through the endothelial layer under static or dynamic conditions was evaluated. The results demonstrated the significance of vascular layer in the in vitro myocardium models for drug testing, as well as the advantage and potential of the proposed platform for cardiovascular drug evaluation with more human physiological relevance.
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Affiliation(s)
- Yadong Tang
- Guangdong University of Technology, Higher education mega center, Guangzhou, 510006, CHINA
| | - Feng Tian
- Guangdong University of Technology, Higher education mega center, Guangzhou, Guangdong, 510006, CHINA
| | - Xiaomin Miao
- Guangdong University of Technology, Higher education mega center, Guangzhou, 510006, CHINA
| | - Dianqi Wu
- Guangdong University of Technology, Higher education mega center, Guangzhou, 510006, CHINA
| | - Yaqi Wang
- Guangdong University of Technology, Higher education mega center, Guangzhou, 510006, CHINA
| | - Han Wang
- Guangdong University of Technology, Higher education mega center, Guangzhou, 510006, CHINA
| | - Kai You
- Guangdong Academy of Sciences, Guangdong, Guangzhou, Guangdong, 510070, CHINA
| | - Qinglan Li
- Guangdong University of Technology, Higher education mega center, Guangzhou, 510006, CHINA
| | - Suqing Zhao
- Guangdong University of Technology, Higher education mega center, Guangzhou, 510006, CHINA
| | - Wenlong Wang
- Guangzhou University, Higher education mega center, Guangzhou, 510006, CHINA
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8
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Cheng Z, Guo D, Ruzi A, Pan T, You K, Chen Y, Huang X, Zhang J, Yang F, Niu L, Xu K, Li YX. Modeling MEN1 with Patient-Origin iPSCs Reveals GLP-1R Mediated Hypersecretion of Insulin. Cells 2022; 11:cells11152387. [PMID: 35954231 PMCID: PMC9368616 DOI: 10.3390/cells11152387] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2022] [Revised: 07/27/2022] [Accepted: 07/29/2022] [Indexed: 12/10/2022] Open
Abstract
Multiple endocrine neoplasia type 1 (MEN1) is an inherited disease caused by mutations in the MEN1 gene encoding a nuclear protein menin. Among those different endocrine tumors of MEN1, the pancreatic neuroendocrine tumors (PNETs) are life-threatening and frequently implicated. Since there are uncertainties in genotype and phenotype relationship and there are species differences between humans and mice, it is worth it to replenish the mice model with human cell resources. Here, we tested whether the patient-origin induced pluripotent stem cell (iPSC) lines could phenocopy some defects of MEN1. In vitro β-cell differentiation revealed that the percentage of insulin-positive cells and insulin secretion were increased by at least two-fold in MEN1-iPSC derived cells, which was mainly resulted from significantly higher proliferative activities in the pancreatic progenitor stage (Day 7–13). This scenario was paralleled with increased expressions of prohormone convertase1/3 (PC1/3), glucagon-like peptide-1 (GLP-1), GLP-1R, and factors in the phosphatidylinositol 3-kinase (PI3K)/AKT signal pathway, and the GLP-1R was mainly expressed in β-like cells. Blockages of either GLP-1R or PI3K significantly reduced the percentages of insulin-positive cells and hypersecretion of insulin in MEN1-derived cells. Furthermore, in transplantation of different stages of MEN1-derived cells into immune-deficient mice, only those β-like cells produced tumors that mimicked the features of the PNETs from the original patient. To the best of our knowledge, this was the first case using patient-origin iPSCs modeling most phenotypes of MEN1, and the results suggested that GLP-1R may be a potential therapeutic target for MEN1-related hyperinsulinemia.
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Affiliation(s)
- Ziqi Cheng
- Center for Health Research, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou 510530, China; (Z.C.); (D.G.); (A.R.); (T.P.); (K.Y.); (Y.C.); (X.H.); (J.Z.)
- University of Chinese Academy of Sciences, Beijing 100049, China
- Key Laboratory of Stem Cell and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou 510530, China
- CAS Key Laboratory of Regenerative Biology, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou 510530, China
- Guangdong Provincial Key Laboratory of Biocomputing, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou 510530, China
| | - Dongsheng Guo
- Center for Health Research, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou 510530, China; (Z.C.); (D.G.); (A.R.); (T.P.); (K.Y.); (Y.C.); (X.H.); (J.Z.)
| | - Aynisahan Ruzi
- Center for Health Research, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou 510530, China; (Z.C.); (D.G.); (A.R.); (T.P.); (K.Y.); (Y.C.); (X.H.); (J.Z.)
| | - Tingcai Pan
- Center for Health Research, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou 510530, China; (Z.C.); (D.G.); (A.R.); (T.P.); (K.Y.); (Y.C.); (X.H.); (J.Z.)
| | - Kai You
- Center for Health Research, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou 510530, China; (Z.C.); (D.G.); (A.R.); (T.P.); (K.Y.); (Y.C.); (X.H.); (J.Z.)
| | - Yan Chen
- Center for Health Research, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou 510530, China; (Z.C.); (D.G.); (A.R.); (T.P.); (K.Y.); (Y.C.); (X.H.); (J.Z.)
- Key Laboratory of Stem Cell and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou 510530, China
- CAS Key Laboratory of Regenerative Biology, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou 510530, China
- Guangdong Provincial Key Laboratory of Biocomputing, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou 510530, China
| | - Xinping Huang
- Center for Health Research, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou 510530, China; (Z.C.); (D.G.); (A.R.); (T.P.); (K.Y.); (Y.C.); (X.H.); (J.Z.)
- University of Chinese Academy of Sciences, Beijing 100049, China
- Key Laboratory of Stem Cell and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou 510530, China
- CAS Key Laboratory of Regenerative Biology, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou 510530, China
- Guangdong Provincial Key Laboratory of Biocomputing, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou 510530, China
| | - Jiaye Zhang
- Center for Health Research, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou 510530, China; (Z.C.); (D.G.); (A.R.); (T.P.); (K.Y.); (Y.C.); (X.H.); (J.Z.)
| | - Fan Yang
- Ministry of Education CNS Regeneration Collaborative Joint Laboratory, Guangdong-Hongkong-Macau Institute of CNS Regeneration, Jinan University, Guangzhou 510632, China;
| | - Lizhi Niu
- Guangzhou Fuda Cancer Hospital, Guangzhou 510305, China; (L.N.); (K.X.)
| | - Kecheng Xu
- Guangzhou Fuda Cancer Hospital, Guangzhou 510305, China; (L.N.); (K.X.)
| | - Yin-Xiong Li
- Center for Health Research, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou 510530, China; (Z.C.); (D.G.); (A.R.); (T.P.); (K.Y.); (Y.C.); (X.H.); (J.Z.)
- University of Chinese Academy of Sciences, Beijing 100049, China
- Key Laboratory of Stem Cell and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou 510530, China
- CAS Key Laboratory of Regenerative Biology, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou 510530, China
- Guangdong Provincial Key Laboratory of Biocomputing, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou 510530, China
- State Key Laboratory of Respiratory Disease, Guangzhou 510000, China
- China-New Zealand Joint Laboratory of Biomedicine and Health, Guangzhou 510530, China
- Correspondence:
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9
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You K, Chen BB, Wang P, Bu RG, Xu XW. Intense venous reflux, quantified by a new software to analyze presurgical ultrasound, is associated with unfavorable outcomes of microsurgical varicocelectomy. Asian J Androl 2022; 25:119-125. [PMID: 35899921 PMCID: PMC9933975 DOI: 10.4103/aja202248] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/19/2023] Open
Abstract
The hemodynamic characteristics of venous reflux are associated with infertility in patients with varicocele; however, an effective method for quantifying the structural distribution of the reflux is lacking. This study aimed to predict surgical outcomes using a new software for venous reflux quantification. This was a retrospective cohort study of a consecutive series of 105 patients (age range: 22-44 years) between July 2017 and September 2019. Venous reflux of the varicocele was obtained using the Valsalva maneuver during scrotal Doppler ultrasonography before microsurgical varicocelectomy. Using this software, the colored reflux signals were segmented, and the gray scale of the color pixels representing the reflux velocity was comprehensively quantified into the mean reflux velocity of the green layer (MRVG) and the reflux velocity standard deviation of the green layer (RVSDG). Spontaneous pregnancy and changes from baseline in the semen parameters were assessed during a 12-month follow-up period. Data were analyzed using logistic regression analysis. An association of the high MRVG group with impaired progressive motility (odds ratio [OR] = 2.868, 95% confidence interval [CI]: 1.133-7.265) and impaired sperm concentration (OR = 2.943, 95% CI: 1.196-7.239) was found during multivariate analysis. High MRVG (OR = 2.680, 95% CI: 1.086-6.614) and high RVSDG (OR = 2.508, 95% CI: 1.030-6.111) were found to be independent predictors of failure to achieve pregnancy following microsurgical repair. In summary, intense venous reflux is an independent predictor of impaired progressive motility, sperm concentration, and pregnancy outcomes after microsurgical varicocelectomy.
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Affiliation(s)
- Kai You
- Department of Pediatrics, Shengjing Hospital of China Medical University, Shenyang 110004, China
| | - Bang-Bin Chen
- Department of Urology, Shengjing Hospital of China Medical University, Shenyang 110004, China
| | - Peng Wang
- Department of Ultrasound, Shengjing Hospital of China Medical University, Shenyang 110004, China
| | - Ren-Ge Bu
- Department of Urology, Shengjing Hospital of China Medical University, Shenyang 110004, China,
Correspondence: Dr. XW Xu () or Dr. RG Bu ()
| | - Xue-Wen Xu
- Department of Urology, Shengjing Hospital of China Medical University, Shenyang 110004, China,
Correspondence: Dr. XW Xu () or Dr. RG Bu ()
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10
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Tang R, Shen L, Yang L, You K, Li Z, Wei X, Wang J. Killing Two Birds with One Stone: Biomineralized Bacteria Tolerate Adverse Environments and Absorb Hexavalent Chromium. ACS Omega 2022; 7:15385-15395. [PMID: 35571834 PMCID: PMC9096818 DOI: 10.1021/acsomega.1c06877] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/05/2021] [Accepted: 04/15/2022] [Indexed: 06/15/2023]
Abstract
Heavy metal ions in contaminated water, such as hexavalent chromium, are harmful to humans. Bacterial biosorption is an ideal method for the treatment of hexavalent chromium. However, hexavalent chromium in solution causes bacteria to produce reactive oxygen species, which leads to bacterial death and affects biosorption. We developed a microfluidics-based biomimetic mineralization method to encapsulate bacteria (e.g., Escherichia coli and Bacillus subtilis) with zeolitic imidazolate framework-8 (ZIF-8), thus allowing the bacteria to form a continuous and homogeneous shell. The artificial shells endowed bacteria with the ability to tolerate harsh environments, which was significant during the treatment of contaminated water. The adsorption of hexavalent chromium was a two-step process: first the fast physical adsorption of ZIF-8 and biosorption by bacteria (up to 30-50% adsorption in 1 day), followed by secondary biosorption after decomposition of the system. The maximum adsorption of hexavalent chromium by the encapsulated bacteria reached 90%. The microfluidic device developed in this study provides a simple method to encapsulate bacteria mildly and enable cell survival in extreme environments, offering the possibility of future microbial applications in environmental and other fields.
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Affiliation(s)
- Rongbing Tang
- School
of Stomatology, Lanzhou University, Lanzhou, Gansu 730000, China
- Clinical
Research Center for Oral Diseases, Lanzhou, Gansu 730000, China
| | - Liheng Shen
- School
of Stomatology, Lanzhou University, Lanzhou, Gansu 730000, China
- Clinical
Research Center for Oral Diseases, Lanzhou, Gansu 730000, China
| | - Lu Yang
- School
of Stomatology, Lanzhou University, Lanzhou, Gansu 730000, China
- Clinical
Research Center for Oral Diseases, Lanzhou, Gansu 730000, China
| | - Kai You
- School
of Stomatology, Lanzhou University, Lanzhou, Gansu 730000, China
- Clinical
Research Center for Oral Diseases, Lanzhou, Gansu 730000, China
| | - Zhihui Li
- School
of Stomatology, Lanzhou University, Lanzhou, Gansu 730000, China
- Clinical
Research Center for Oral Diseases, Lanzhou, Gansu 730000, China
| | - Xiaorui Wei
- School
of Stomatology, Lanzhou University, Lanzhou, Gansu 730000, China
- Clinical
Research Center for Oral Diseases, Lanzhou, Gansu 730000, China
| | - Jing Wang
- School
of Stomatology, Lanzhou University, Lanzhou, Gansu 730000, China
- Clinical
Research Center for Oral Diseases, Lanzhou, Gansu 730000, China
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11
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Pan T, Wang N, Zhang J, Yang F, Chen Y, Zhuang Y, Xu Y, Fang J, You K, Lin X, Li Y, Li S, Liang K, Li YX, Gao Y. Efficiently generate functional hepatic cells from human pluripotent stem cells by complete small-molecule strategy. Stem Cell Res Ther 2022; 13:159. [PMID: 35410439 PMCID: PMC8996222 DOI: 10.1186/s13287-022-02831-1] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2021] [Accepted: 03/20/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Various methods have been developed to generate hepatic cells from human pluripotent stem cells (hPSCs) that rely on the combined use of multiple expensive growth factors, limiting industrial-scale production and widespread applications. Small molecules offer an attractive alternative to growth factors for producing hepatic cells since they are more economical and relatively stable. METHODS We dissect small-molecule combinations and identify the ideal cocktails to achieve an optimally efficient and cost-effective strategy for hepatic cells differentiation, expansion, and maturation. RESULTS We demonstrated that small-molecule cocktail CIP (including CHIR99021, IDE1, and PD0332991) efficiently induced definitive endoderm (DE) formation via increased endogenous TGF-β/Nodal signaling. Furthermore, we identified that combining Vitamin C, Dihexa, and Forskolin (VDF) could substitute growth factors to induce hepatic specification. The obtained hepatoblasts (HBs) could subsequently expand and mature into functional hepatocyte-like cells (HLCs) by the established chemical formulas. Thus, we established a stepwise strategy with complete small molecules for efficiently producing scalable HBs and functionally matured HLCs. The small-molecule-derived HLCs displayed typical functional characteristics as mature hepatocytes in vitro and repopulating injured liver in vivo. CONCLUSION Our current small-molecule-based hepatic generation protocol presents an efficient and cost-effective platform for the large-scale production of functional human hepatic cells for cell-based therapy and drug discovery using.
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Affiliation(s)
- Tingcai Pan
- General Surgery Center, Department of Hepatobiliary Surgery II, Guangdong Provincial Research Center for Artificial Organ and Tissue Engineering, Guangzhou Clinical Research and Transformation Center for Artificial Liver, Institute of Regenerative Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou , Guangdong, China.,Key Laboratory of Regenerative Biology, South China Institute for Stem Cell Biology and Regenerative Medicine, Guangdong Provincial Key Laboratory of Biocomputing, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, 510530, China
| | - Ning Wang
- Key Laboratory of Regenerative Biology, South China Institute for Stem Cell Biology and Regenerative Medicine, Guangdong Provincial Key Laboratory of Biocomputing, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, 510530, China
| | - Jiaye Zhang
- Key Laboratory of Regenerative Biology, South China Institute for Stem Cell Biology and Regenerative Medicine, Guangdong Provincial Key Laboratory of Biocomputing, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, 510530, China
| | - Fan Yang
- Guangdong Key Laboratory of Non-Human Primate Models, Guangdong-Hongkong-Macau Institute of CNS Regeneration, Jinan University, Guangzhou, Guangdong, China
| | - Yan Chen
- Key Laboratory of Regenerative Biology, South China Institute for Stem Cell Biology and Regenerative Medicine, Guangdong Provincial Key Laboratory of Biocomputing, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, 510530, China
| | - Yuanqi Zhuang
- Key Laboratory of Regenerative Biology, South China Institute for Stem Cell Biology and Regenerative Medicine, Guangdong Provincial Key Laboratory of Biocomputing, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, 510530, China
| | - Yingying Xu
- Key Laboratory of Regenerative Biology, South China Institute for Stem Cell Biology and Regenerative Medicine, Guangdong Provincial Key Laboratory of Biocomputing, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, 510530, China
| | - Ji Fang
- Key Laboratory of Regenerative Biology, South China Institute for Stem Cell Biology and Regenerative Medicine, Guangdong Provincial Key Laboratory of Biocomputing, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, 510530, China
| | - Kai You
- Key Laboratory of Regenerative Biology, South China Institute for Stem Cell Biology and Regenerative Medicine, Guangdong Provincial Key Laboratory of Biocomputing, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, 510530, China
| | - Xianhua Lin
- Key Laboratory of Regenerative Biology, South China Institute for Stem Cell Biology and Regenerative Medicine, Guangdong Provincial Key Laboratory of Biocomputing, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, 510530, China
| | - Yang Li
- General Surgery Center, Department of Hepatobiliary Surgery II, Guangdong Provincial Research Center for Artificial Organ and Tissue Engineering, Guangzhou Clinical Research and Transformation Center for Artificial Liver, Institute of Regenerative Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou , Guangdong, China
| | - Shao Li
- General Surgery Center, Department of Hepatobiliary Surgery II, Guangdong Provincial Research Center for Artificial Organ and Tissue Engineering, Guangzhou Clinical Research and Transformation Center for Artificial Liver, Institute of Regenerative Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou , Guangdong, China
| | - Kangyan Liang
- General Surgery Center, Department of Hepatobiliary Surgery II, Guangdong Provincial Research Center for Artificial Organ and Tissue Engineering, Guangzhou Clinical Research and Transformation Center for Artificial Liver, Institute of Regenerative Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou , Guangdong, China
| | - Yin-Xiong Li
- Key Laboratory of Regenerative Biology, South China Institute for Stem Cell Biology and Regenerative Medicine, Guangdong Provincial Key Laboratory of Biocomputing, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, 510530, China.
| | - Yi Gao
- General Surgery Center, Department of Hepatobiliary Surgery II, Guangdong Provincial Research Center for Artificial Organ and Tissue Engineering, Guangzhou Clinical Research and Transformation Center for Artificial Liver, Institute of Regenerative Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou , Guangdong, China. .,State Key Laboratory of Organ Failure Research, Southern Medical University, Guangzhou, China.
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12
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Xia Y, You K, Xiong Y. Relationships Between Cardinal Features of Obstructive Sleep Apnea and Blood Pressure: A Retrospective Study. Front Psychiatry 2022; 13:846275. [PMID: 35463518 PMCID: PMC9027567 DOI: 10.3389/fpsyt.2022.846275] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/31/2021] [Accepted: 03/02/2022] [Indexed: 11/23/2022] Open
Abstract
BACKGROUND Obstructive sleep apnea (OSA) is associated with hypertension; however, the associations between cardinal features of OSA, such as intermittent hypoxia (IH) and sleep fragmentation (SF), and blood pressure remain unclear. We performed this study to address this issue. METHOD We investigated 335 subjects with the polysomnography (PSG) tests. Data, including basic characteristics, PSG parameters, and blood pressure, were collected. We calculated p-values for linear trends of blood pressure across oxygen-desaturation index (ODI)/microarousal index (MAI) quartiles. Logistic regressions were used to determine the risk factors for abnormal blood pressure and to detect the multiplicative interaction between ODI and MAI with blood pressure. RESULTS After adjusting for multiple variables, compared with subjects with lower ODI quartiles, those with higher ODI quartiles had significant higher systolic blood pressure (SBP) and diastolic blood pressure (DBP) (p for trend = 0.010 and 0.018, respectively). And compared with subjects with lower ODI quartiles, those with higher ODI quartiles were also more likely to have abnormal DBP and hypertension after adjusting for multiple variables. Similarly, compared with subjects with lower MAI quartiles, those with higher MAI quartiles had significant higher SBP and DBP, and were more likely to have abnormal DBP and hypertension. No significant multiplicative interactions between ODI and MAI with blood pressure were detected. CONCLUSION Subjects with more severe IH/SF had significant higher blood pressure and were more likely to have abnormal DBP and hypertension than those with less severe IH/SF. No interaction between IH and SF on the relationship with blood pressure was shown.
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Affiliation(s)
- Yunyan Xia
- Department of Otorhinolaryngology-Head and Neck Surgery, First Affiliated Hospital of Nanchang University, Nanchang, China
| | - Kai You
- Department of Anesthesiology, First Affiliated Hospital of Nanchang University, Nanchang, China
| | - Yuanping Xiong
- Department of Otorhinolaryngology-Head and Neck Surgery, First Affiliated Hospital of Nanchang University, Nanchang, China
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13
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You K, Yang W, Song P, Fan L, Xu S, Li B, Feng L. Lanthanum-modified magnetic oyster shell and its use for enhancing phosphate removal from water. Colloids Surf A Physicochem Eng Asp 2022. [DOI: 10.1016/j.colsurfa.2021.127897] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/21/2023]
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14
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You K, Ge F, Wu X, Song K, Yang Z, Zhang Q, Liu Y, Ruan R, Zheng H. Nutrients recovery from piggery wastewater and starch wastewater via microalgae-bacteria consortia. ALGAL RES 2021. [DOI: 10.1016/j.algal.2021.102551] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
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15
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Xia Y, You K, Xiong Y. Interaction effects between characteristics of obstructive sleep apnea and obesity on dyslipidemia. Auris Nasus Larynx 2021; 49:437-444. [PMID: 34789392 DOI: 10.1016/j.anl.2021.10.016] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2021] [Revised: 10/17/2021] [Accepted: 10/27/2021] [Indexed: 11/29/2022]
Abstract
OBJECTIVES Obstructive sleep apnea (OSA) and obesity often coexist, and both can increase the risk of dyslipidemia. However, the interaction effects between the characteristics of OSA and obesity on dyslipidemia are not yet known. This study was performed to investigate this issue. METHODS Basic characteristics, polysomnography data, and biochemical markers of patients with suspected OSA seen at the First Affiliated Hospital of Nanchang University were collected. Serum lipid levels were compared after adjusting for multiple confounders. We used binary logistic regression models to assess the interaction effects of the oxygen desaturation index (ODI) and obesity, and the apnea-hypopnea index (AHI) and obesity, on dyslipidemia. RESULTS A total of 343 patients were included in the study. After adjusting for multiple confounders, there were no differences in serum lipid levels between non-obese or obese patients with an AHI ≤ 30 and AHI > 30, and no interaction effect between the AHI and obesity on dyslipidemia. Obese patients, but not non-obese ones, with an ODI > 37.5 had significantly higher total cholesterol (TC) levels, and higher TC/high-density lipoprotein cholesterol (HDL-C) ratios, than patients with an ODI ≤ 37.5. In addition, a significant positive multiplicative interaction effect between obesity and the ODI was found on hyper-TC (odds ratio [OR] = 3.459; 95% confidence interval [CI] = 1.104, 10.838; p = 0.03). CONCLUSION A positive interaction effect was detected between obesity and intermittent hypoxia on dyslipidemia. Therefore, further attention should be paid to dyslipidemia in obese patients with intermittent hypoxia.
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Affiliation(s)
- Yunyan Xia
- Department of Otorhinolaryngology-Head and Neck Surgery, First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China
| | - Kai You
- Department of Anesthesiology, First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China
| | - Yuanping Xiong
- Department of Otorhinolaryngology-Head and Neck Surgery, First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China.
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16
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Xu Y, Tao J, Yu X, Wu Y, Chen Y, You K, Zhang J, Getachew A, Pan T, Zhuang Y, Yuan F, Yang F, Lin X, Li YX. Hypomorphic ASGR1 modulates lipid homeostasis via INSIG1-mediated SREBP signaling suppression. JCI Insight 2021; 6:147038. [PMID: 34622799 PMCID: PMC8525641 DOI: 10.1172/jci.insight.147038] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2020] [Accepted: 08/18/2021] [Indexed: 12/20/2022] Open
Abstract
A population genetic study identified that the asialoglycoprotein receptor 1 (ASGR1) mutation carriers had substantially lower non–HDL-cholesterol (non–HDL-c) levels and reduced risks of cardiovascular diseases. However, the mechanism behind this phenomenon remained unclear. Here, we established Asgr1-knockout mice that represented a plasma lipid profile with significantly lower non–HDL-c and triglyceride (TG) caused by decreased secretion and increased uptake of VLDL/LDL. These 2 phenotypes were linked with the decreased expression of microsomal triglyceride transfer protein and proprotein convertase subtilisin/kexin type 9, 2 key targeted genes of sterol regulatory element–binding proteins (SREBPs). Furthermore, there were fewer nuclear SREBPs (nSREBPs) on account of more SREBPs being trapped in endoplasmic reticulum, which was caused by an increased expression of insulin-induced gene 1 (INSIG1), an anchor of SREBPs. Overexpression and gene knockdown interventions, in different models, were conducted to rescue the ASGR1-deficient phenotypes, and we found that INSIG1 knockdown independently reversed the ASGR1-mutated phenotypes with increased serum total cholesterol, LDL-c, TG, and liver cholesterol content accompanied by restored SREBP signaling. ASGR1 rescue experiments reduced INSIG1 and restored the SREBP network defect as manifested by improved apolipoprotein B secretion and reduced LDL uptake. Our observation demonstrated that increased INSIG1 is a critical factor responsible for ASGR1 deficiency–associated lipid profile changes and nSREBP suppression. This finding of an ASGR1/INSIG1/SREBP axis regulating lipid hemostasis may provide multiple potential targets for lipid-lowering drug development.
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Affiliation(s)
- Yingying Xu
- Center for Health Research, Guangdong Provincial Key Laboratory of Biocomputing, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
| | - Jiawang Tao
- Center for Health Research, Guangdong Provincial Key Laboratory of Biocomputing, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China.,University of Chinese Academy of Sciences, Beijing, China
| | - Xiaorui Yu
- Center for Health Research, Guangdong Provincial Key Laboratory of Biocomputing, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China.,School of Life Sciences, University of Science and Technology of China, Hefei, China
| | - Yuhang Wu
- Center for Health Research, Guangdong Provincial Key Laboratory of Biocomputing, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
| | - Yan Chen
- Center for Health Research, Guangdong Provincial Key Laboratory of Biocomputing, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
| | - Kai You
- Center for Health Research, Guangdong Provincial Key Laboratory of Biocomputing, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
| | - Jiaye Zhang
- Center for Health Research, Guangdong Provincial Key Laboratory of Biocomputing, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
| | - Anteneh Getachew
- Center for Health Research, Guangdong Provincial Key Laboratory of Biocomputing, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
| | - Tingcai Pan
- Center for Health Research, Guangdong Provincial Key Laboratory of Biocomputing, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
| | - Yuanqi Zhuang
- Center for Health Research, Guangdong Provincial Key Laboratory of Biocomputing, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
| | - Fang Yuan
- Center for Health Research, Guangdong Provincial Key Laboratory of Biocomputing, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China.,School of Life Sciences, University of Science and Technology of China, Hefei, China
| | - Fan Yang
- Center for Health Research, Guangdong Provincial Key Laboratory of Biocomputing, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
| | - Xianhua Lin
- Center for Health Research, Guangdong Provincial Key Laboratory of Biocomputing, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
| | - Yin-Xiong Li
- Center for Health Research, Guangdong Provincial Key Laboratory of Biocomputing, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China.,University of Chinese Academy of Sciences, Beijing, China.,Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, Guangzhou, China.,Bioland Laboratory (Guangzhou Regenerative Medicine and Health Guangdong Laboratory), Guangzhou, China
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17
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Abstract
Tumor necrosis factor alpha (TNF-α) plays important roles in processes such as immunomodulation, fever, inflammatory response, inhibition of tumor formation, and inhibition of viral replication. TNF-α and its receptors are ubiquitously expressed in developing organs and they regulate the survival, proliferation, and apoptosis of embryonic stem cells (ESCs) and progenitor cells. TNF-α is an important inflammatory factor that also regulates the inflammatory response during organogenesis, and its cytotoxic effects can interfere with normal developmental processes, even leading to the onset of diseases. This review summarizes the various roles of TNF-α in organogenesis in terms of its secreting pattern, concentration-dependent activities, and interactions with other signaling pathways. We also explored new potential functions of TNF-α.
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Affiliation(s)
- Kai You
- Department of Pediatrics, Shengjing Hospital of China Medical University, Shenyang, China
| | - Hui Gu
- Key Laboratory of Health Ministry for Congenital Malformation, Shengjing Hospital of China Medical University, Shenyang, China
| | - Zhengwei Yuan
- Key Laboratory of Health Ministry for Congenital Malformation, Shengjing Hospital of China Medical University, Shenyang, China
| | - Xuewen Xu
- Key Laboratory of Health Ministry for Congenital Malformation, Shengjing Hospital of China Medical University, Shenyang, China.,Department of Urology, Shengjing Hospital of China Medical University, Shenyang, China
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18
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Yuan F, Wang N, Chen Y, Huang X, Yang Z, Xu Y, You K, Zhang J, Wang G, Zhuang Y, Pan T, Xiong Y, Yu X, Yang F, Li Y. Calcitriol promotes the maturation of hepatocyte-like cells derived from human pluripotent stem cells. J Steroid Biochem Mol Biol 2021; 211:105881. [PMID: 33766737 DOI: 10.1016/j.jsbmb.2021.105881] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/29/2020] [Revised: 03/07/2021] [Accepted: 03/18/2021] [Indexed: 11/23/2022]
Abstract
Human hepatocyte-like cells (HLCs) derived from human pluripotent stem cells (hPSCs) represent a promising cell source for the assessment of hepatotoxicity and pharmaceutical safety testing. However, the hepatic functionality of HLCs remains significantly inferior to primary human hepatocytes. The bioactive vitamin D (VD), calcitriol, promotes the differentiation of many types of cells, and its deficiency is correlated to the severity of liver diseases. Whether calcitriol contributes to the differentiation of HLCs needs to be explored. Here, we found that the supplementation of calcitriol improved the functionalities of hPSCs-derived HLCs in P450 activities, urea production, and albumin secretion. Moreover, calcitriol also enhanced mitochondrial respiratory function with increased protein expression levels of the subunit of respiratory enzyme complexes in HLCs. Further analyses showed that the mitochondrial biogenesis regulators and mitophagy were increased by calcitriol, thus improving the mitochondrial quality. These improvements in functionality and mitochondrial condition were dependent on vitamin D receptor (VDR) because the improvements were abolished under VDR-deficient conditions. Our finding provides a cost-effective chemical process for HLC maturation to meet the demand for basic research and potential clinic applications.
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Affiliation(s)
- Fang Yuan
- Institute of Public Health, Guangzhou Institutes of Biomedicine and Health, Chinese, Academy of Sciences, 510530, Guangzhou, China; School of Life Sciences, University of Science and Technology of China, 230027, Hefei, China; Key Laboratory of Regenerative Biology, South China Institute for Stem Cell, Biology and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, 510530, Guangzhou, China; Guangdong Provincial Key Laboratory of Biocomputing, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, 510530, Guangzhou, China
| | - Ning Wang
- Institute of Public Health, Guangzhou Institutes of Biomedicine and Health, Chinese, Academy of Sciences, 510530, Guangzhou, China; Key Laboratory of Regenerative Biology, South China Institute for Stem Cell, Biology and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, 510530, Guangzhou, China; Guangdong Provincial Key Laboratory of Biocomputing, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, 510530, Guangzhou, China
| | - Yan Chen
- Institute of Public Health, Guangzhou Institutes of Biomedicine and Health, Chinese, Academy of Sciences, 510530, Guangzhou, China; Key Laboratory of Regenerative Biology, South China Institute for Stem Cell, Biology and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, 510530, Guangzhou, China; Guangdong Provincial Key Laboratory of Biocomputing, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, 510530, Guangzhou, China
| | - Xinping Huang
- Institute of Public Health, Guangzhou Institutes of Biomedicine and Health, Chinese, Academy of Sciences, 510530, Guangzhou, China; Key Laboratory of Regenerative Biology, South China Institute for Stem Cell, Biology and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, 510530, Guangzhou, China; Guangdong Provincial Key Laboratory of Biocomputing, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, 510530, Guangzhou, China
| | - Zhen Yang
- Institute of Public Health, Guangzhou Institutes of Biomedicine and Health, Chinese, Academy of Sciences, 510530, Guangzhou, China; Key Laboratory of Regenerative Biology, South China Institute for Stem Cell, Biology and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, 510530, Guangzhou, China; Guangdong Provincial Key Laboratory of Biocomputing, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, 510530, Guangzhou, China
| | - Yingying Xu
- Institute of Public Health, Guangzhou Institutes of Biomedicine and Health, Chinese, Academy of Sciences, 510530, Guangzhou, China; Key Laboratory of Regenerative Biology, South China Institute for Stem Cell, Biology and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, 510530, Guangzhou, China; Guangdong Provincial Key Laboratory of Biocomputing, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, 510530, Guangzhou, China
| | - Kai You
- Institute of Public Health, Guangzhou Institutes of Biomedicine and Health, Chinese, Academy of Sciences, 510530, Guangzhou, China; Key Laboratory of Regenerative Biology, South China Institute for Stem Cell, Biology and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, 510530, Guangzhou, China; Guangdong Provincial Key Laboratory of Biocomputing, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, 510530, Guangzhou, China
| | - Jiaye Zhang
- Institute of Public Health, Guangzhou Institutes of Biomedicine and Health, Chinese, Academy of Sciences, 510530, Guangzhou, China; Key Laboratory of Regenerative Biology, South China Institute for Stem Cell, Biology and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, 510530, Guangzhou, China; Guangdong Provincial Key Laboratory of Biocomputing, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, 510530, Guangzhou, China
| | - Guodong Wang
- The First Affiliated Hospital of Sun Yat-sen University, 510080, Guangzhou, China
| | - Yuanqi Zhuang
- Institute of Public Health, Guangzhou Institutes of Biomedicine and Health, Chinese, Academy of Sciences, 510530, Guangzhou, China; Key Laboratory of Regenerative Biology, South China Institute for Stem Cell, Biology and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, 510530, Guangzhou, China; Guangdong Provincial Key Laboratory of Biocomputing, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, 510530, Guangzhou, China
| | - Tingcai Pan
- Institute of Public Health, Guangzhou Institutes of Biomedicine and Health, Chinese, Academy of Sciences, 510530, Guangzhou, China; Key Laboratory of Regenerative Biology, South China Institute for Stem Cell, Biology and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, 510530, Guangzhou, China; Guangdong Provincial Key Laboratory of Biocomputing, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, 510530, Guangzhou, China
| | - Yue Xiong
- Institute of Public Health, Guangzhou Institutes of Biomedicine and Health, Chinese, Academy of Sciences, 510530, Guangzhou, China; Key Laboratory of Regenerative Biology, South China Institute for Stem Cell, Biology and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, 510530, Guangzhou, China; Guangdong Provincial Key Laboratory of Biocomputing, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, 510530, Guangzhou, China
| | - Xiaorui Yu
- Institute of Public Health, Guangzhou Institutes of Biomedicine and Health, Chinese, Academy of Sciences, 510530, Guangzhou, China; School of Life Sciences, University of Science and Technology of China, 230027, Hefei, China; Key Laboratory of Regenerative Biology, South China Institute for Stem Cell, Biology and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, 510530, Guangzhou, China; Guangdong Provincial Key Laboratory of Biocomputing, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, 510530, Guangzhou, China
| | - Fan Yang
- Institute of Public Health, Guangzhou Institutes of Biomedicine and Health, Chinese, Academy of Sciences, 510530, Guangzhou, China; Key Laboratory of Regenerative Biology, South China Institute for Stem Cell, Biology and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, 510530, Guangzhou, China; Guangdong Provincial Key Laboratory of Biocomputing, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, 510530, Guangzhou, China
| | - Yinxiong Li
- Institute of Public Health, Guangzhou Institutes of Biomedicine and Health, Chinese, Academy of Sciences, 510530, Guangzhou, China; Key Laboratory of Regenerative Biology, South China Institute for Stem Cell, Biology and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, 510530, Guangzhou, China; Guangdong Provincial Key Laboratory of Biocomputing, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, 510530, Guangzhou, China.
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19
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Wu F, Chen Y, You K, Tan S, Xu Y, Wang PH, Liu S, Li YX. Generation of WAe001-A-58 human embryonic stem cell line with inducible expression of the SARS-CoV-2 nucleocapsid protein. Stem Cell Res 2021; 53:102197. [PMID: 33771478 PMCID: PMC7835078 DOI: 10.1016/j.scr.2021.102197] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/25/2020] [Revised: 01/17/2021] [Accepted: 01/20/2021] [Indexed: 11/20/2022] Open
Abstract
Excessive prostaglandin E2 (PGE2) is the key pathological basis for COVID-19 and a Celebrex treatment of hospitalized COVID-19 patients with comorbidities led to 100% discharged rate and zero death (Hong et al. 2020). It is also suggested that SARS-CoV-2 infected multiple organs and the SARS-CoV nucleocapsid (N) protein transcriptionally drives the expression of the host COX-2 gene. In order to test whether SARS-CoV-2 N protein activates COX-2 transcription in multiple human relevant cell types, an expression inducible human embryonic stem cell line was generated by piggyBac transposon system. This cell line maintained its pluripotency, differentiation potentials, normal morphology and karyotype.
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Affiliation(s)
- Feima Wu
- Guangzhou Institute of Cardiovascular Disease, Guangdong Key Laboratory of Vascular Diseases, State Key Laboratory of Respiratory Disease, the Second Affiliated Hospital, Guangzhou Medical University, Guangzhou, China
| | - Yan Chen
- Institute of Public Health, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China; Guangdong Provincial Key Laboratory of Biocomputing, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China; Key Laboratory of Regenerative Biology, South China Institute for Stem Cell Biology and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
| | - Kai You
- Institute of Public Health, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China; Guangdong Provincial Key Laboratory of Biocomputing, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China; Key Laboratory of Regenerative Biology, South China Institute for Stem Cell Biology and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
| | - Shenglin Tan
- Institute of Public Health, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China; Guangdong Provincial Key Laboratory of Biocomputing, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
| | - Yingying Xu
- Institute of Public Health, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China; Guangdong Provincial Key Laboratory of Biocomputing, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China; Key Laboratory of Regenerative Biology, South China Institute for Stem Cell Biology and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
| | - Pei-Hui Wang
- Advanced Medical Research Institute, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
| | - Shiming Liu
- Guangzhou Institute of Cardiovascular Disease, Guangdong Key Laboratory of Vascular Diseases, State Key Laboratory of Respiratory Disease, the Second Affiliated Hospital, Guangzhou Medical University, Guangzhou, China.
| | - Yin-Xiong Li
- Institute of Public Health, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China; Guangdong Provincial Key Laboratory of Biocomputing, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China; Key Laboratory of Regenerative Biology, South China Institute for Stem Cell Biology and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China.
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20
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Getachew A, Abbas N, You K, Yang Z, Hussain M, Huang X, Cheng Z, Tan S, Tao J, Yu X, Chen Y, Yang F, Pan T, Xu Y, Xu G, Zhuang Y, Wu F, Li Y. SAA1/TLR2 axis directs chemotactic migration of hepatic stellate cells responding to injury. iScience 2021; 24:102483. [PMID: 34113824 PMCID: PMC8169952 DOI: 10.1016/j.isci.2021.102483] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2020] [Revised: 04/03/2021] [Accepted: 04/25/2021] [Indexed: 12/14/2022] Open
Abstract
Hepatic stellate cells (HSCs) are crucial for liver injury repair and cirrhosis. However, the mechanism of chemotactic recruitment of HSCs into injury loci is still largely unknown. Here, we demonstrate that serum amyloid A1 (SAA1) acts as a chemokine recruiting HSCs toward injury loci signaling via TLR2, a finding proven by gene manipulation studies in cell and mice models. The mechanistic investigations revealed that SAA1/TLR2 axis stimulates the Rac GTPases through PI3K-dependent pathways and induces phosphorylation of MLC (pSer19). Genetic deletion of TLR2 and pharmacological inhibition of PI3K diminished the phosphorylation of MLCpSer19 and migration of HSCs. In brief, SAA1 serves as a hepatic endogenous chemokine for the TLR2 receptor on HSCs, thereby initiating PI3K-dependent signaling and its effector, Rac GTPases, which consequently regulates actin filament remodeling and cell directional migration. Our findings provide novel targets for anti-fibrosis drug development. SAA1 serves as a chemokine to guide migration of HSCs toward injury locus TLR2 acts as a functional receptor for SAA1 in HSCs SAA1/TLR2 axis-mediated migration of HSCs operates through PI3K/Rac1 signaling SAA1/TLR2 axis provides a link for the cross talk between hepatocytes and HSCs
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Affiliation(s)
- Anteneh Getachew
- Institute of Public Health, Guangzhou Institute of Biomedicine and Health, Chinese Academy of Sciences, 190 Kaiyuan Avenue, Science Park, Guangzhou, Guangdong 510530, China.,University of China Academy of Sciences, Beijing 100049, China.,Key Laboratory of Regenerative Biology, South China Institute for Stem Cell Biology and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou 510530, China.,Guangdong Provincial Key Laboratory of Biocomputing, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou 510530, China
| | - Nasir Abbas
- Institute of Public Health, Guangzhou Institute of Biomedicine and Health, Chinese Academy of Sciences, 190 Kaiyuan Avenue, Science Park, Guangzhou, Guangdong 510530, China.,University of China Academy of Sciences, Beijing 100049, China.,Key Laboratory of Regenerative Biology, South China Institute for Stem Cell Biology and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou 510530, China.,Guangdong Provincial Key Laboratory of Biocomputing, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou 510530, China
| | - Kai You
- Institute of Public Health, Guangzhou Institute of Biomedicine and Health, Chinese Academy of Sciences, 190 Kaiyuan Avenue, Science Park, Guangzhou, Guangdong 510530, China.,Key Laboratory of Regenerative Biology, South China Institute for Stem Cell Biology and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou 510530, China.,Guangdong Provincial Key Laboratory of Biocomputing, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou 510530, China
| | - Zhen Yang
- Institute of Public Health, Guangzhou Institute of Biomedicine and Health, Chinese Academy of Sciences, 190 Kaiyuan Avenue, Science Park, Guangzhou, Guangdong 510530, China.,University of China Academy of Sciences, Beijing 100049, China.,Key Laboratory of Regenerative Biology, South China Institute for Stem Cell Biology and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou 510530, China.,Guangdong Provincial Key Laboratory of Biocomputing, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou 510530, China
| | - Muzammal Hussain
- University of China Academy of Sciences, Beijing 100049, China.,Guangdong Provincial Key Laboratory of Biocomputing, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou 510530, China
| | - Xinping Huang
- Institute of Public Health, Guangzhou Institute of Biomedicine and Health, Chinese Academy of Sciences, 190 Kaiyuan Avenue, Science Park, Guangzhou, Guangdong 510530, China.,University of China Academy of Sciences, Beijing 100049, China.,Key Laboratory of Regenerative Biology, South China Institute for Stem Cell Biology and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou 510530, China.,Guangdong Provincial Key Laboratory of Biocomputing, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou 510530, China
| | - Ziqi Cheng
- Institute of Public Health, Guangzhou Institute of Biomedicine and Health, Chinese Academy of Sciences, 190 Kaiyuan Avenue, Science Park, Guangzhou, Guangdong 510530, China.,University of China Academy of Sciences, Beijing 100049, China.,Key Laboratory of Regenerative Biology, South China Institute for Stem Cell Biology and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou 510530, China.,Guangdong Provincial Key Laboratory of Biocomputing, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou 510530, China
| | - Shenglin Tan
- Institute of Public Health, Guangzhou Institute of Biomedicine and Health, Chinese Academy of Sciences, 190 Kaiyuan Avenue, Science Park, Guangzhou, Guangdong 510530, China.,University of China Academy of Sciences, Beijing 100049, China.,Key Laboratory of Regenerative Biology, South China Institute for Stem Cell Biology and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou 510530, China.,Guangdong Provincial Key Laboratory of Biocomputing, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou 510530, China
| | - Jiawang Tao
- Institute of Public Health, Guangzhou Institute of Biomedicine and Health, Chinese Academy of Sciences, 190 Kaiyuan Avenue, Science Park, Guangzhou, Guangdong 510530, China.,University of China Academy of Sciences, Beijing 100049, China.,Key Laboratory of Regenerative Biology, South China Institute for Stem Cell Biology and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou 510530, China.,Guangdong Provincial Key Laboratory of Biocomputing, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou 510530, China
| | - Xiaorui Yu
- Institute of Public Health, Guangzhou Institute of Biomedicine and Health, Chinese Academy of Sciences, 190 Kaiyuan Avenue, Science Park, Guangzhou, Guangdong 510530, China.,University of China Academy of Sciences, Beijing 100049, China.,Key Laboratory of Regenerative Biology, South China Institute for Stem Cell Biology and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou 510530, China.,Guangdong Provincial Key Laboratory of Biocomputing, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou 510530, China
| | - Yan Chen
- Institute of Public Health, Guangzhou Institute of Biomedicine and Health, Chinese Academy of Sciences, 190 Kaiyuan Avenue, Science Park, Guangzhou, Guangdong 510530, China.,Key Laboratory of Regenerative Biology, South China Institute for Stem Cell Biology and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou 510530, China.,Guangdong Provincial Key Laboratory of Biocomputing, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou 510530, China
| | - Fan Yang
- Institute of Public Health, Guangzhou Institute of Biomedicine and Health, Chinese Academy of Sciences, 190 Kaiyuan Avenue, Science Park, Guangzhou, Guangdong 510530, China.,Key Laboratory of Regenerative Biology, South China Institute for Stem Cell Biology and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou 510530, China.,Guangdong Provincial Key Laboratory of Biocomputing, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou 510530, China
| | - Tingcai Pan
- Institute of Public Health, Guangzhou Institute of Biomedicine and Health, Chinese Academy of Sciences, 190 Kaiyuan Avenue, Science Park, Guangzhou, Guangdong 510530, China.,Key Laboratory of Regenerative Biology, South China Institute for Stem Cell Biology and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou 510530, China.,Guangdong Provincial Key Laboratory of Biocomputing, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou 510530, China
| | - Yingying Xu
- Institute of Public Health, Guangzhou Institute of Biomedicine and Health, Chinese Academy of Sciences, 190 Kaiyuan Avenue, Science Park, Guangzhou, Guangdong 510530, China.,Key Laboratory of Regenerative Biology, South China Institute for Stem Cell Biology and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou 510530, China.,Guangdong Provincial Key Laboratory of Biocomputing, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou 510530, China
| | - Guosheng Xu
- Institute of Public Health, Guangzhou Institute of Biomedicine and Health, Chinese Academy of Sciences, 190 Kaiyuan Avenue, Science Park, Guangzhou, Guangdong 510530, China.,Key Laboratory of Regenerative Biology, South China Institute for Stem Cell Biology and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou 510530, China.,Guangdong Provincial Key Laboratory of Biocomputing, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou 510530, China
| | - Yuanqi Zhuang
- Institute of Public Health, Guangzhou Institute of Biomedicine and Health, Chinese Academy of Sciences, 190 Kaiyuan Avenue, Science Park, Guangzhou, Guangdong 510530, China.,Key Laboratory of Regenerative Biology, South China Institute for Stem Cell Biology and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou 510530, China.,Guangdong Provincial Key Laboratory of Biocomputing, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou 510530, China
| | - FeiMa Wu
- Institute of Public Health, Guangzhou Institute of Biomedicine and Health, Chinese Academy of Sciences, 190 Kaiyuan Avenue, Science Park, Guangzhou, Guangdong 510530, China.,Key Laboratory of Regenerative Biology, South China Institute for Stem Cell Biology and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou 510530, China.,Guangdong Provincial Key Laboratory of Biocomputing, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou 510530, China
| | - Yinxiong Li
- Institute of Public Health, Guangzhou Institute of Biomedicine and Health, Chinese Academy of Sciences, 190 Kaiyuan Avenue, Science Park, Guangzhou, Guangdong 510530, China.,University of China Academy of Sciences, Beijing 100049, China.,Key Laboratory of Regenerative Biology, South China Institute for Stem Cell Biology and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou 510530, China.,Guangdong Provincial Key Laboratory of Biocomputing, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou 510530, China.,Guangzhou Regenerative Medicine and Health Guangdong Laboratory, Guangzhou 510005, China
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21
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Li S, Zhu Y, Li R, Huang J, You K, Yuan Y, Zhuang S. LncRNA Lnc-APUE is Repressed by HNF4 α and Promotes G1/S Phase Transition and Tumor Growth by Regulating MiR-20b/E2F1 Axis. Adv Sci (Weinh) 2021; 8:2003094. [PMID: 33854885 PMCID: PMC8025008 DOI: 10.1002/advs.202003094] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/12/2020] [Revised: 12/07/2020] [Indexed: 06/07/2023]
Abstract
Many long noncoding RNAs (lncRNAs) have been annotated, but their functions remain unknown. The authors found a novel lnc-APUE (lncRNA accelerating proliferation by upregulating E2F1) that is upregulated in different cancer types, including hepatocellular carcinoma (HCC), and high lnc-APUE level is associated with short recurrence-free survival (RFS) of HCC patients. Gain- and loss-of-function analyses showed that lnc-APUE accelerated G1/S transition and tumor cell growth in vitro and allows hepatoma xenografts to grow faster in vivo. Mechanistically, lnc-APUE binds to miR-20b and relieves its repression on E2F1 expression, resulting in increased E2F1 level and accelerated G1/S phase transition and cell proliferation. Consistently, lnc-APUE level is positively associated with the expression of E2F1 and its downstream target genes in HCC tissues. Further investigations disclose that hepatocyte nuclear factor 4 alpha (HNF4α) binds to the lnc-APUE promoter, represses lnc-APUE transcription, then diminishes E2F1 expression and cell proliferation. HNF4α expression is reduced in HCC tissues and low HNF4α level is correlated with high lnc-APUE expression. Collectively, a HNF4α/lnc-APUE/miR-20b/E2F1 axis in which HNF4α represses lnc-APUE expression and keeps E2F1 at a low level is identified. In tumor cells, HNF4α downregulation leads to lnc-APUE upregulation, which prevents the inhibition of miR-20b on E2F1 expression and thereby promotes cell cycle progression and tumor growth.
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Affiliation(s)
- Song‐Yang Li
- MOE Key Laboratory of Gene Function and RegulationSchool of Life SciencesCollaborative Innovation Center for Cancer MedicineSun Yat‐sen UniversityGuangzhou510275China
| | - Ying Zhu
- MOE Key Laboratory of Gene Function and RegulationSchool of Life SciencesCollaborative Innovation Center for Cancer MedicineSun Yat‐sen UniversityGuangzhou510275China
| | - Ruo‐Nan Li
- MOE Key Laboratory of Gene Function and RegulationSchool of Life SciencesCollaborative Innovation Center for Cancer MedicineSun Yat‐sen UniversityGuangzhou510275China
| | - Jia‐Hui Huang
- MOE Key Laboratory of Gene Function and RegulationSchool of Life SciencesCollaborative Innovation Center for Cancer MedicineSun Yat‐sen UniversityGuangzhou510275China
| | - Kai You
- MOE Key Laboratory of Gene Function and RegulationSchool of Life SciencesCollaborative Innovation Center for Cancer MedicineSun Yat‐sen UniversityGuangzhou510275China
| | - Yun‐Fei Yuan
- Department of Hepatobilliary OncologyCancer CenterSun Yat‐sen UniversityGuangzhou510060China
| | - Shi‐Mei Zhuang
- MOE Key Laboratory of Gene Function and RegulationSchool of Life SciencesCollaborative Innovation Center for Cancer MedicineSun Yat‐sen UniversityGuangzhou510275China
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22
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Xiong Y, Chen Y, Huang X, Yang Z, Zhang J, Yu X, Fang J, Tao J, You K, Cheng Z, Tan S, Xu Y, Yuan F, Liu Y, Zhuang Y, Yang F, Li Y. Icaritin ameliorates hepatic steatosis via promoting fatty acid β-oxidation and insulin sensitivity. Life Sci 2021; 268:119000. [PMID: 33417961 DOI: 10.1016/j.lfs.2020.119000] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2020] [Revised: 12/18/2020] [Accepted: 12/26/2020] [Indexed: 11/28/2022]
Abstract
AIM This study aimed to reveal the effects of icaritin (ICT) on lipotoxicity induced by palmitate (PA) in hepatic cells and steatosis in high-fat diet (HFD)-fed mice as well as exploring the potential mechanisms. MAIN METHODS Primary mouse hepatocytes and human hepatoma Huh7 cells were used to evaluate ICT effect in vitro. HFD-fed mice were used to evaluate the ICT effect in vivo. RESULTS In vitro study indicated that ICT significantly rescued PA-induced steatosis, mainly through a combination of robust increased mitochondrial respiration, fatty acid oxidation and mildly decreased synthesis of fatty acid. An HFD-fed mouse model with 8 weeks HFD-fed showed metabolic disorders, while ICT application significantly reduced the weight, serum glucose levels, insulin resistance, hepatic steatosis level and adipose contents. In consistent with the observations in cell lines, ICT rescued the HFD-impaired functions and contents of key factors related to fatty acid β-oxidation through elevated expression of peroxisome proliferator-activated receptor α (PPARα). Meanwhile, it also reversed the decreased phosphoryl levels of AKT and glucogen synthase kinase 3 (GSK3β), leading to the improvement of insulin resistance. SIGNIFICANCE ICT administration had a therapeutic effect on PA- or HFD-induced hepatic steatosis and metabolic disorders. It may provide a novel strategy to construct preventive and therapeutic means for hepatic steatosis.
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Affiliation(s)
- Yue Xiong
- Institute of Public Health, Guangzhou Institutes of Biomedicine and Health (GIBH), Chinese Academy of Sciences (CAS), Guangzhou 510530, China; University of Chinese Academy of Sciences (UCAS), Beijing 100049, China; Guangdong Provincial Key Laboratory of Biocomputing, GIBH, CAS, Guangzhou 510530, China
| | - Yan Chen
- Institute of Public Health, Guangzhou Institutes of Biomedicine and Health (GIBH), Chinese Academy of Sciences (CAS), Guangzhou 510530, China; University of Chinese Academy of Sciences (UCAS), Beijing 100049, China; Key Laboratory of Regenerative Biology, South China Institute for Stem Cell Biology and Regenerative Medicine, GIBH, CAS, Guangzhou 510530, China; Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, Guangzhou, China
| | - Xinping Huang
- Institute of Public Health, Guangzhou Institutes of Biomedicine and Health (GIBH), Chinese Academy of Sciences (CAS), Guangzhou 510530, China; University of Chinese Academy of Sciences (UCAS), Beijing 100049, China; Guangdong Provincial Key Laboratory of Biocomputing, GIBH, CAS, Guangzhou 510530, China
| | - Zhen Yang
- Institute of Public Health, Guangzhou Institutes of Biomedicine and Health (GIBH), Chinese Academy of Sciences (CAS), Guangzhou 510530, China; University of Chinese Academy of Sciences (UCAS), Beijing 100049, China; Guangdong Provincial Key Laboratory of Biocomputing, GIBH, CAS, Guangzhou 510530, China
| | - Jiaye Zhang
- Institute of Public Health, Guangzhou Institutes of Biomedicine and Health (GIBH), Chinese Academy of Sciences (CAS), Guangzhou 510530, China; University of Chinese Academy of Sciences (UCAS), Beijing 100049, China; Guangdong Provincial Key Laboratory of Biocomputing, GIBH, CAS, Guangzhou 510530, China
| | - Xiaorui Yu
- Institute of Public Health, Guangzhou Institutes of Biomedicine and Health (GIBH), Chinese Academy of Sciences (CAS), Guangzhou 510530, China; University of Chinese Academy of Sciences (UCAS), Beijing 100049, China; Guangdong Provincial Key Laboratory of Biocomputing, GIBH, CAS, Guangzhou 510530, China
| | - Ji Fang
- Institute of Public Health, Guangzhou Institutes of Biomedicine and Health (GIBH), Chinese Academy of Sciences (CAS), Guangzhou 510530, China; University of Chinese Academy of Sciences (UCAS), Beijing 100049, China; Guangdong Provincial Key Laboratory of Biocomputing, GIBH, CAS, Guangzhou 510530, China
| | - Jiawang Tao
- Institute of Public Health, Guangzhou Institutes of Biomedicine and Health (GIBH), Chinese Academy of Sciences (CAS), Guangzhou 510530, China; University of Chinese Academy of Sciences (UCAS), Beijing 100049, China; Guangdong Provincial Key Laboratory of Biocomputing, GIBH, CAS, Guangzhou 510530, China
| | - Kai You
- Institute of Public Health, Guangzhou Institutes of Biomedicine and Health (GIBH), Chinese Academy of Sciences (CAS), Guangzhou 510530, China; University of Chinese Academy of Sciences (UCAS), Beijing 100049, China; Guangdong Provincial Key Laboratory of Biocomputing, GIBH, CAS, Guangzhou 510530, China
| | - Ziqi Cheng
- Institute of Public Health, Guangzhou Institutes of Biomedicine and Health (GIBH), Chinese Academy of Sciences (CAS), Guangzhou 510530, China; University of Chinese Academy of Sciences (UCAS), Beijing 100049, China; Guangdong Provincial Key Laboratory of Biocomputing, GIBH, CAS, Guangzhou 510530, China
| | - Shenglin Tan
- Institute of Public Health, Guangzhou Institutes of Biomedicine and Health (GIBH), Chinese Academy of Sciences (CAS), Guangzhou 510530, China; University of Chinese Academy of Sciences (UCAS), Beijing 100049, China; Guangdong Provincial Key Laboratory of Biocomputing, GIBH, CAS, Guangzhou 510530, China
| | - Yingying Xu
- Institute of Public Health, Guangzhou Institutes of Biomedicine and Health (GIBH), Chinese Academy of Sciences (CAS), Guangzhou 510530, China; University of Chinese Academy of Sciences (UCAS), Beijing 100049, China; Key Laboratory of Regenerative Biology, South China Institute for Stem Cell Biology and Regenerative Medicine, GIBH, CAS, Guangzhou 510530, China; Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, Guangzhou, China
| | - Fang Yuan
- Institute of Public Health, Guangzhou Institutes of Biomedicine and Health (GIBH), Chinese Academy of Sciences (CAS), Guangzhou 510530, China; University of Chinese Academy of Sciences (UCAS), Beijing 100049, China; Guangdong Provincial Key Laboratory of Biocomputing, GIBH, CAS, Guangzhou 510530, China
| | - Ying Liu
- Institute of Public Health, Guangzhou Institutes of Biomedicine and Health (GIBH), Chinese Academy of Sciences (CAS), Guangzhou 510530, China; University of Chinese Academy of Sciences (UCAS), Beijing 100049, China; Guangdong Provincial Key Laboratory of Biocomputing, GIBH, CAS, Guangzhou 510530, China
| | - Yuanqi Zhuang
- Institute of Public Health, Guangzhou Institutes of Biomedicine and Health (GIBH), Chinese Academy of Sciences (CAS), Guangzhou 510530, China; University of Chinese Academy of Sciences (UCAS), Beijing 100049, China; Key Laboratory of Regenerative Biology, South China Institute for Stem Cell Biology and Regenerative Medicine, GIBH, CAS, Guangzhou 510530, China; Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, Guangzhou, China
| | - Fan Yang
- Institute of Public Health, Guangzhou Institutes of Biomedicine and Health (GIBH), Chinese Academy of Sciences (CAS), Guangzhou 510530, China; University of Chinese Academy of Sciences (UCAS), Beijing 100049, China; Key Laboratory of Regenerative Biology, South China Institute for Stem Cell Biology and Regenerative Medicine, GIBH, CAS, Guangzhou 510530, China; Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, Guangzhou, China
| | - Yinxiong Li
- Institute of Public Health, Guangzhou Institutes of Biomedicine and Health (GIBH), Chinese Academy of Sciences (CAS), Guangzhou 510530, China; University of Chinese Academy of Sciences (UCAS), Beijing 100049, China; Guangdong Provincial Key Laboratory of Biocomputing, GIBH, CAS, Guangzhou 510530, China; Key Laboratory of Regenerative Biology, South China Institute for Stem Cell Biology and Regenerative Medicine, GIBH, CAS, Guangzhou 510530, China; Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, Guangzhou, China; Bioland Laboratory (Guangzhou Regenerative Medicine and Health Guangdong Laboratory), Guangzhou, China.
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23
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Pan T, Tao J, Chen Y, Zhang J, Getachew A, Zhuang Y, Wang N, Xu Y, Tan S, Fang J, Yang F, Lin X, You K, Gao Y, Li YX. Robust expansion and functional maturation of human hepatoblasts by chemical strategy. Stem Cell Res Ther 2021; 12:151. [PMID: 33632328 PMCID: PMC7908723 DOI: 10.1186/s13287-021-02233-9] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2020] [Accepted: 02/15/2021] [Indexed: 12/23/2022] Open
Abstract
Background Chemically strategies to generate hepatic cells from human pluripotent stem cells (hPSCs) for the potential clinical application have been improved. However, producing high quality and large quantities of hepatic cells remain challenging, especially in terms of step-wise efficacy and cost-effective production requires more improvements. Methods Here, we systematically evaluated chemical compounds for hepatoblast (HB) expansion and maturation to establish a robust, cost-effective, and reproducible methodology for self-renewal HBs and functional hepatocyte-like cell (HLC) production. Results The established chemical cocktail could enable HBs to proliferate nearly 3000 folds within 3 weeks with preserved bipotency. Moreover, those expanded HBs could be further efficiently differentiated into homogenous HLCs which displayed typical morphologic features and functionality as mature hepatocytes including hepatocyte identity marker expression and key functional activities such as cytochrome P450 metabolism activities and urea secretion. Importantly, the transplanted HBs in the injured liver of immune-defect mice differentiated as hepatocytes, engraft, and repopulate in the injured loci of the recipient liver. Conclusion Together, this chemical compound-based HLC generation method presents an efficient and cost-effective platform for the large-scale production of functional human hepatic cells for cell-based therapy and drug discovery application. Supplementary Information The online version contains supplementary material available at 10.1186/s13287-021-02233-9.
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Affiliation(s)
- Tingcai Pan
- Institute of Public Health, Guangzhou Institutes of Biomedicine and Health (GIBH), Chinese Academy of Sciences, Guangzhou, 510530, China.,Key Laboratory of Regenerative Biology, South China Institute for Stem Cell Biology and Regenerative Medicine, Guangdong Provincial Key Laboratory of Biocomputing, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, 510530, China.,Department of Hepatobiliary Surgery II, Zhujiang Hospital, Southern Medical University, Guangzhou, 510280, Guangdong Province, China
| | - Jiawang Tao
- Institute of Public Health, Guangzhou Institutes of Biomedicine and Health (GIBH), Chinese Academy of Sciences, Guangzhou, 510530, China.,Key Laboratory of Regenerative Biology, South China Institute for Stem Cell Biology and Regenerative Medicine, Guangdong Provincial Key Laboratory of Biocomputing, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, 510530, China.,University of Chinese Academy of Science, Beijing, 100049, China
| | - Yan Chen
- Institute of Public Health, Guangzhou Institutes of Biomedicine and Health (GIBH), Chinese Academy of Sciences, Guangzhou, 510530, China.,Key Laboratory of Regenerative Biology, South China Institute for Stem Cell Biology and Regenerative Medicine, Guangdong Provincial Key Laboratory of Biocomputing, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, 510530, China
| | - Jiaye Zhang
- Institute of Public Health, Guangzhou Institutes of Biomedicine and Health (GIBH), Chinese Academy of Sciences, Guangzhou, 510530, China.,Key Laboratory of Regenerative Biology, South China Institute for Stem Cell Biology and Regenerative Medicine, Guangdong Provincial Key Laboratory of Biocomputing, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, 510530, China
| | - Anteneh Getachew
- Institute of Public Health, Guangzhou Institutes of Biomedicine and Health (GIBH), Chinese Academy of Sciences, Guangzhou, 510530, China.,Key Laboratory of Regenerative Biology, South China Institute for Stem Cell Biology and Regenerative Medicine, Guangdong Provincial Key Laboratory of Biocomputing, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, 510530, China.,University of Chinese Academy of Science, Beijing, 100049, China
| | - Yuanqi Zhuang
- Institute of Public Health, Guangzhou Institutes of Biomedicine and Health (GIBH), Chinese Academy of Sciences, Guangzhou, 510530, China.,Key Laboratory of Regenerative Biology, South China Institute for Stem Cell Biology and Regenerative Medicine, Guangdong Provincial Key Laboratory of Biocomputing, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, 510530, China
| | - Ning Wang
- Institute of Public Health, Guangzhou Institutes of Biomedicine and Health (GIBH), Chinese Academy of Sciences, Guangzhou, 510530, China.,Key Laboratory of Regenerative Biology, South China Institute for Stem Cell Biology and Regenerative Medicine, Guangdong Provincial Key Laboratory of Biocomputing, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, 510530, China
| | - Yingying Xu
- Institute of Public Health, Guangzhou Institutes of Biomedicine and Health (GIBH), Chinese Academy of Sciences, Guangzhou, 510530, China.,Key Laboratory of Regenerative Biology, South China Institute for Stem Cell Biology and Regenerative Medicine, Guangdong Provincial Key Laboratory of Biocomputing, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, 510530, China
| | - Shenglin Tan
- Institute of Public Health, Guangzhou Institutes of Biomedicine and Health (GIBH), Chinese Academy of Sciences, Guangzhou, 510530, China.,Key Laboratory of Regenerative Biology, South China Institute for Stem Cell Biology and Regenerative Medicine, Guangdong Provincial Key Laboratory of Biocomputing, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, 510530, China.,University of Chinese Academy of Science, Beijing, 100049, China
| | - Ji Fang
- Institute of Public Health, Guangzhou Institutes of Biomedicine and Health (GIBH), Chinese Academy of Sciences, Guangzhou, 510530, China.,Key Laboratory of Regenerative Biology, South China Institute for Stem Cell Biology and Regenerative Medicine, Guangdong Provincial Key Laboratory of Biocomputing, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, 510530, China
| | - Fan Yang
- Institute of Public Health, Guangzhou Institutes of Biomedicine and Health (GIBH), Chinese Academy of Sciences, Guangzhou, 510530, China.,Key Laboratory of Regenerative Biology, South China Institute for Stem Cell Biology and Regenerative Medicine, Guangdong Provincial Key Laboratory of Biocomputing, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, 510530, China
| | - Xianhua Lin
- Institute of Public Health, Guangzhou Institutes of Biomedicine and Health (GIBH), Chinese Academy of Sciences, Guangzhou, 510530, China.,Key Laboratory of Regenerative Biology, South China Institute for Stem Cell Biology and Regenerative Medicine, Guangdong Provincial Key Laboratory of Biocomputing, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, 510530, China
| | - Kai You
- Institute of Public Health, Guangzhou Institutes of Biomedicine and Health (GIBH), Chinese Academy of Sciences, Guangzhou, 510530, China.,Key Laboratory of Regenerative Biology, South China Institute for Stem Cell Biology and Regenerative Medicine, Guangdong Provincial Key Laboratory of Biocomputing, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, 510530, China
| | - Yi Gao
- Department of Hepatobiliary Surgery II, Zhujiang Hospital, Southern Medical University, Guangzhou, 510280, Guangdong Province, China.
| | - Yin-Xiong Li
- Institute of Public Health, Guangzhou Institutes of Biomedicine and Health (GIBH), Chinese Academy of Sciences, Guangzhou, 510530, China. .,Key Laboratory of Regenerative Biology, South China Institute for Stem Cell Biology and Regenerative Medicine, Guangdong Provincial Key Laboratory of Biocomputing, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, 510530, China. .,University of Chinese Academy of Science, Beijing, 100049, China. .,Bioland Laboratory (Guangzhou Regenerative Medicine and Health Guangdong Laboratory), Guangzhou, 510005, China.
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24
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Yuan F, Xu Y, You K, Zhang J, Yang F, Li YX. Calcitriol alleviates ethanol-induced hepatotoxicity via AMPK/mTOR-mediated autophagy. Arch Biochem Biophys 2020; 697:108694. [PMID: 33232716 DOI: 10.1016/j.abb.2020.108694] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2020] [Revised: 11/04/2020] [Accepted: 11/17/2020] [Indexed: 12/28/2022]
Abstract
Excessive ethanol consumption causes cellular damage, leading to fetal alcohol syndrome and alcohol liver diseases, which are frequently seen with vitamin D (VD) deficiency. A great deal of progress has been achieved in the mechanisms of ethanol-induced hepatocyte damage. However, there are limited intervention means to reduce or rescue hepatocytes damage caused by ethanol. On the basis of our preliminary limited screen process, calcitriol showed a positive effect on protecting hepatocyte viability. Therefore, the molecular basis is worth elucidating. We found that calcitriol pretreatment markedly improved the cell viability, decreased cell apoptosis and oxidative stress and alleviated the abnormal mitochondrial morphology and membrane potential of hepatocytes induced by ethanol. Notably, autophagy was significantly enhanced by calcitriol, as evident by the increasing number of autophagosomes and autolysosomes, upregulated LC3B-Ⅱ and ATG5 levels, and promotion of p62 degradation. Furthermore, calcitriol pretreatment increased the colocalization of GFP-LC3-labeled autophagosomes with mitochondria, suggesting that calcitriol effectively promoted ethanol-induced mitophagy in hepatocytes. In addition, the inhibition of autophagy attenuated the protective and preventive effect of calcitriol. Furthermore, the effect of calcitriol on autophagy was regulated by AMPK/mTOR signaling, and signaling transduction was dependent on the Vitamin D receptor (VDR). In conclusion, calcitriol ameliorates ethanol-induced hepatocyte damage by enhancing autophagy. It may offer a convenient preventive and hepatoprotective mean for people on occasional social drink.
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Affiliation(s)
- Fang Yuan
- School of Life Sciences, University of Science and Technology of China, 230027, Hefei, China; Institute of Public Health, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, 510530, Guangzhou, China; Key Laboratory of Regenerative Biology, South China Institute for Stem Cell Biology and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, 510530, Guangzhou, China; Guangdong Provincial Key Laboratory of Biocomputing, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, 510530, Guangzhou, China
| | - Yingying Xu
- Institute of Public Health, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, 510530, Guangzhou, China; Key Laboratory of Regenerative Biology, South China Institute for Stem Cell Biology and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, 510530, Guangzhou, China; Guangdong Provincial Key Laboratory of Biocomputing, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, 510530, Guangzhou, China
| | - Kai You
- Institute of Public Health, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, 510530, Guangzhou, China; Key Laboratory of Regenerative Biology, South China Institute for Stem Cell Biology and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, 510530, Guangzhou, China; Guangdong Provincial Key Laboratory of Biocomputing, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, 510530, Guangzhou, China
| | - Jiaye Zhang
- Institute of Public Health, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, 510530, Guangzhou, China; Key Laboratory of Regenerative Biology, South China Institute for Stem Cell Biology and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, 510530, Guangzhou, China; Guangdong Provincial Key Laboratory of Biocomputing, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, 510530, Guangzhou, China
| | - Fan Yang
- Institute of Public Health, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, 510530, Guangzhou, China; Key Laboratory of Regenerative Biology, South China Institute for Stem Cell Biology and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, 510530, Guangzhou, China; Guangdong Provincial Key Laboratory of Biocomputing, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, 510530, Guangzhou, China
| | - Yin-Xiong Li
- Institute of Public Health, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, 510530, Guangzhou, China; Key Laboratory of Regenerative Biology, South China Institute for Stem Cell Biology and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, 510530, Guangzhou, China; Guangdong Provincial Key Laboratory of Biocomputing, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, 510530, Guangzhou, China.
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25
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Hong W, Chen Y, You K, Tan S, Wu F, Tao J, Chen X, Zhang J, Xiong Y, Yuan F, Yang Z, Chen T, Chen X, Peng P, Tai Q, Wang J, Zhang F, Li YX. Celebrex Adjuvant Therapy on Coronavirus Disease 2019: An Experimental Study. Front Pharmacol 2020; 11:561674. [PMID: 33312125 PMCID: PMC7703865 DOI: 10.3389/fphar.2020.561674] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2020] [Accepted: 10/13/2020] [Indexed: 01/08/2023] Open
Abstract
Background: The pandemic of coronavirus disease 2019 (COVID-19) resulted in grave morbidity and mortality worldwide. There is currently no effective drug to cure COVID-19. Based on analyses of available data, we deduced that excessive prostaglandin E2 (PGE2) produced by cyclooxygenase-2 was a key pathological event of COVID-19. Methods: A prospective clinical study was conducted in one hospital for COVID-19 treatment with Celebrex to suppress the excessive PGE2 production. A total of 44 COVID-19 cases were enrolled, 37 cases in the experimental group received Celebrex as adjuvant (full dose: 0.2 g, bid; half dose: 0.2 g, qd) for 7-14 days, and the dosage and duration was adjusted for individuals, while seven cases in the control group received the standard therapy. The clinical outcomes were evaluated by measuring the urine PGE2 levels, lab tests, CT scans, vital signs, and other clinical data. The urine PGE2 levels were measured by mass spectrometry. The study was registered and can be accessed at http://www.chictr.org.cn/showproj.aspx?proj=50474. Results: The concentrations of PGE2 in urine samples of COVID-19 patients were significantly higher than those of PGE2 in urine samples of healthy individuals (mean value: 170 ng/ml vs 18.8 ng/ml, p < 0.01) and positively correlated with the progression of COVID-19. Among those 37 experimental cases, there were 10 cases with age over 60 years (27%, 10/37) and 13 cases (35%, 13/37) with preexisting conditions including cancer, atherosclerosis, and diabetes. Twenty-five cases had full dose, 11 cases with half dose of Celebrex, and one case with ibuprofen. The remission rates in midterm were 100%, 82%, and 57% of the full dose, half dose, and control group, respectively, and the discharged rate was 100% at the endpoint with Celebrex treatment. Celebrex significantly reduced the PGE2 levels and promoted recovery of ordinary and severe COVID-19. Furthermore, more complications, severity, and death rate were widely observed and reported in the COVID-19 group of elders and with comorbidities; however, this phenomenon did not appear in this particular Celebrex adjunctive treatment study. Conclusion: This clinical study indicates that Celebrex adjuvant treatment promotes the recovery of all types of COVID-19 and further reduces the mortality rate of elderly and those with comorbidities.
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Affiliation(s)
- Wenxin Hong
- The Eighth People's Hospital of Guangzhou, Guangzhou, China
| | - Yan Chen
- Institute of Public Health, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
- Guangdong Provincial Key Laboratory of Biocomputing, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
| | - Kai You
- Institute of Public Health, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
- Guangdong Provincial Key Laboratory of Biocomputing, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
| | - Shenglin Tan
- Institute of Public Health, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Feima Wu
- Guangzhou Institute of Cardiovascular Disease, Guangdong Key Laboratory of Vascular Diseases, State Key Laboratory of Respiratory Disease, The Second Affiliated Hospital, Guangzhou Medical University, Guangzhou, China
| | - Jiawang Tao
- Institute of Public Health, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Xudan Chen
- The Eighth People's Hospital of Guangzhou, Guangzhou, China
| | - Jiaye Zhang
- Institute of Public Health, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
- Guangdong Provincial Key Laboratory of Biocomputing, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
| | - Yue Xiong
- Institute of Public Health, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Fang Yuan
- Institute of Public Health, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Zhen Yang
- Institute of Public Health, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Tingting Chen
- Institute of Public Health, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
| | - Xinwen Chen
- Institute of Public Health, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
- Guangzhou Regenerative Medicine and Health Guangdong Laboratory, Guangzhou, China
| | - Ping Peng
- The Eighth People's Hospital of Guangzhou, Guangzhou, China
| | - Qiang Tai
- The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Jian Wang
- The Eighth People's Hospital of Guangzhou, Guangzhou, China
| | - Fuchun Zhang
- The Eighth People's Hospital of Guangzhou, Guangzhou, China
| | - Yin-Xiong Li
- Institute of Public Health, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
- Guangdong Provincial Key Laboratory of Biocomputing, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
- University of Chinese Academy of Sciences, Beijing, China
- Guangzhou Regenerative Medicine and Health Guangdong Laboratory, Guangzhou, China
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26
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Li S, Yin L, Li K, Hu B, Wang L, Wang Y, Li N, You K, Liu Y, Liu G, Xu S, Zhu L, Shao J, Hao X, Zhou J, Cheng X, Li W. Relationship of volumetric bone mineral density by quantitative computed tomography with abdominal aortic calcification. Bone 2020; 133:115226. [PMID: 31945472 DOI: 10.1016/j.bone.2020.115226] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/29/2019] [Revised: 12/31/2019] [Accepted: 01/07/2020] [Indexed: 01/08/2023]
Abstract
OBJECTIVE This multicenter study aimed to evaluate the association between volumetric bone mineral density (vBMD) and abdominal aortic calcification (AAC) in a Chinese population. METHODS Quantitative computed tomography (QCT) and Agatston score (AS) were used to measure vBMD and AAC, respectively, in 3457 participants during 2013-2017. The association between vBMD and AAC was assessed using multivariate regression analysis, adjusted for age, residence, education, body mass index, and other cardiovascular risk factors. RESULTS The mean age of women and men was 61.4 and 62.7 years, respectively. In total, 30.4% of women and 37.7% of men were found to have AAC. After full adjustment, higher vBMD was associated with lower AAC score (β, -0.095; 95% confidence interval [CI], -0.167 to -0.024; P = 0.0087) and lower AAC prevalence (odds ratio [OR], 0.873; 95% CI, 0.824 to 0.924; P < 0.0001) in men. Inverse trends were also observed in the association of vBMD quartile with AAC severity (lowest vs highest quartile; β = 0.235; 95% CI, 0.011 to 0.459; Ptrend < 0.0001) and AAC prevalence (lowest vs highest quartile; OR = 1.329; 95% CI, 1.087 to 1.625; Ptrend < 0.0001) in men. However, no significant result was obtained in women, except for the association between quartiles of vBMD and AAC score. CONCLUSIONS In our study, vBMD was inversely associated with AAC among men independent of age and shared risk factors. However, the association was not significant among women.
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Affiliation(s)
- Sidong Li
- Medical Research & Biometrics Center, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Lu Yin
- Medical Research & Biometrics Center, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
| | - Kai Li
- Department of Radiology, Beijing Jishuitan Hospital, Beijing, China
| | - Bo Hu
- Medical Research & Biometrics Center, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Ling Wang
- Department of Radiology, Beijing Jishuitan Hospital, Beijing, China
| | - Yang Wang
- Medical Research & Biometrics Center, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Ning Li
- Qingshan Lake Community Healthcare Service, Nanchang, China
| | - Kai You
- Shunyi Center for Disease Control and Prevention, Beijing, China
| | - Yu Liu
- Shenyang No. 242 Hospital, Shenyang, China
| | - Guoqin Liu
- People's Hospital of Jingle County, Shanxi, China
| | - Shaoqi Xu
- Department of Radiology, Nanjing University of Chinese Medicine Affiliated Wujin Hospital of Traditional Chinese Medicine, Changzhou, China
| | - Lei Zhu
- Department of Radiology, The People's Hospital of Dayi County, Chengdu, China
| | - Jiman Shao
- Department of Radiology, The Affiliated Hospital of Jiangxi University of Traditional Chinese Medicine, Nanchang, China
| | - Xiaoguang Hao
- Department of Radiology, Taiyuan Central Hospital, Taiyuan, China
| | - Jun Zhou
- Department of Radiology, The 4(th) People's Hospital of Shenyang, Shenyang, China
| | - Xiaoguang Cheng
- Department of Radiology, Beijing Jishuitan Hospital, Beijing, China.
| | - Wei Li
- Medical Research & Biometrics Center, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
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27
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Xu Y, Wu Y, Xiong Y, Tao J, Pan T, Tan S, Gao G, Chen Y, Abbas N, Getachew A, Zhuang Y, You K, Yang F, Li YX. Ascorbate protects liver from metabolic disorder through inhibition of lipogenesis and suppressor of cytokine signaling 3 (SOCS3). Nutr Metab (Lond) 2020; 17:17. [PMID: 32158492 PMCID: PMC7057613 DOI: 10.1186/s12986-020-0431-y] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2019] [Accepted: 01/20/2020] [Indexed: 12/28/2022] Open
Abstract
Background Fatty liver is a reversible status, but also an origin stage to develop to other metabolic syndromes, such as diabetes and heart disease that threatens public health worldwide. Ascorbate deficiency is reported to be correlated with increasing risks for metabolic syndromes, but whether ascorbate has a therapeutic effect is unknown. Here, we investigated if ascorbate treatment alone could work on protecting from the development of steatosis and mechanisms beyond. Methods Guinea pigs were fed with a chow diet or a high palm oil diet (HPD) respectively. HPD induced animals were administered different concentrations of ascorbate in different time intervals through water. Besides, hepatocyte-like cells derived from human embryonic stem cells and HepG2 cells were treated with palmitic acid (PA) to induce lipid accumulation for molecular mechanism study. Results We find that ascorbate rescues HPD and PA induced steatosis and insulin tolerance in vivo and in vitro. We demonstrate that ascorbate changes cellular lipid profiles via inhibits lipogenesis, and inhibits the expression of SOCS3 via STAT3, thus enhances insulin signal transduction. Overexpression of SOCS3 abolishes the ascorbate rescue effects on insulin signal and lipid accumulation in hepatic cells. Conclusions Ascorbate ameliorates hepatic steatosis and improves insulin sensitivity through inhibiting lipogenesis and SOCS3.
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Affiliation(s)
- Yingying Xu
- 1Institute of Public Health, Guangzhou Institutes of Biomedicine and Health (GIBH), Chinese Academy of Sciences (CAS), Guangzhou, 510000 China.,2Guangdong Provincial Key Laboratory of Biocomputing, GIBH, CAS, Guangzhou, 510000 China
| | - Yuhang Wu
- 1Institute of Public Health, Guangzhou Institutes of Biomedicine and Health (GIBH), Chinese Academy of Sciences (CAS), Guangzhou, 510000 China.,2Guangdong Provincial Key Laboratory of Biocomputing, GIBH, CAS, Guangzhou, 510000 China
| | - Yue Xiong
- 1Institute of Public Health, Guangzhou Institutes of Biomedicine and Health (GIBH), Chinese Academy of Sciences (CAS), Guangzhou, 510000 China.,2Guangdong Provincial Key Laboratory of Biocomputing, GIBH, CAS, Guangzhou, 510000 China.,3University of Chinese Academy of Sciences, Beijing, 100000 China
| | - Jiawang Tao
- 1Institute of Public Health, Guangzhou Institutes of Biomedicine and Health (GIBH), Chinese Academy of Sciences (CAS), Guangzhou, 510000 China.,2Guangdong Provincial Key Laboratory of Biocomputing, GIBH, CAS, Guangzhou, 510000 China.,3University of Chinese Academy of Sciences, Beijing, 100000 China
| | - Tingcai Pan
- 1Institute of Public Health, Guangzhou Institutes of Biomedicine and Health (GIBH), Chinese Academy of Sciences (CAS), Guangzhou, 510000 China.,2Guangdong Provincial Key Laboratory of Biocomputing, GIBH, CAS, Guangzhou, 510000 China.,3University of Chinese Academy of Sciences, Beijing, 100000 China
| | - Shenglin Tan
- 1Institute of Public Health, Guangzhou Institutes of Biomedicine and Health (GIBH), Chinese Academy of Sciences (CAS), Guangzhou, 510000 China.,2Guangdong Provincial Key Laboratory of Biocomputing, GIBH, CAS, Guangzhou, 510000 China.,3University of Chinese Academy of Sciences, Beijing, 100000 China
| | - Ge Gao
- 1Institute of Public Health, Guangzhou Institutes of Biomedicine and Health (GIBH), Chinese Academy of Sciences (CAS), Guangzhou, 510000 China.,2Guangdong Provincial Key Laboratory of Biocomputing, GIBH, CAS, Guangzhou, 510000 China
| | - Yan Chen
- 1Institute of Public Health, Guangzhou Institutes of Biomedicine and Health (GIBH), Chinese Academy of Sciences (CAS), Guangzhou, 510000 China.,2Guangdong Provincial Key Laboratory of Biocomputing, GIBH, CAS, Guangzhou, 510000 China.,4Key Laboratory of Regenerative Biology, South China Institute for Stem Cell Biology and Regenerative Medicine, GIBH, CAS, Guangzhou, 510000 China.,5Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, Guangzhou, China
| | - Nasir Abbas
- 1Institute of Public Health, Guangzhou Institutes of Biomedicine and Health (GIBH), Chinese Academy of Sciences (CAS), Guangzhou, 510000 China.,2Guangdong Provincial Key Laboratory of Biocomputing, GIBH, CAS, Guangzhou, 510000 China.,3University of Chinese Academy of Sciences, Beijing, 100000 China
| | - Anteneh Getachew
- 1Institute of Public Health, Guangzhou Institutes of Biomedicine and Health (GIBH), Chinese Academy of Sciences (CAS), Guangzhou, 510000 China.,2Guangdong Provincial Key Laboratory of Biocomputing, GIBH, CAS, Guangzhou, 510000 China.,3University of Chinese Academy of Sciences, Beijing, 100000 China
| | - Yuanqi Zhuang
- 1Institute of Public Health, Guangzhou Institutes of Biomedicine and Health (GIBH), Chinese Academy of Sciences (CAS), Guangzhou, 510000 China.,2Guangdong Provincial Key Laboratory of Biocomputing, GIBH, CAS, Guangzhou, 510000 China
| | - Kai You
- 1Institute of Public Health, Guangzhou Institutes of Biomedicine and Health (GIBH), Chinese Academy of Sciences (CAS), Guangzhou, 510000 China.,2Guangdong Provincial Key Laboratory of Biocomputing, GIBH, CAS, Guangzhou, 510000 China
| | - Fan Yang
- 1Institute of Public Health, Guangzhou Institutes of Biomedicine and Health (GIBH), Chinese Academy of Sciences (CAS), Guangzhou, 510000 China.,2Guangdong Provincial Key Laboratory of Biocomputing, GIBH, CAS, Guangzhou, 510000 China.,4Key Laboratory of Regenerative Biology, South China Institute for Stem Cell Biology and Regenerative Medicine, GIBH, CAS, Guangzhou, 510000 China.,5Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, Guangzhou, China
| | - Yin-Xiong Li
- 1Institute of Public Health, Guangzhou Institutes of Biomedicine and Health (GIBH), Chinese Academy of Sciences (CAS), Guangzhou, 510000 China.,2Guangdong Provincial Key Laboratory of Biocomputing, GIBH, CAS, Guangzhou, 510000 China.,4Key Laboratory of Regenerative Biology, South China Institute for Stem Cell Biology and Regenerative Medicine, GIBH, CAS, Guangzhou, 510000 China.,5Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, Guangzhou, China
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Pan T, Chen Y, Zhuang Y, Yang F, Xu Y, Tao J, You K, Wang N, Wu Y, Lin X, Wu F, Liu Y, Li Y, Wang G, Li YX. Synergistic modulation of signaling pathways to expand and maintain the bipotency of human hepatoblasts. Stem Cell Res Ther 2019; 10:364. [PMID: 31791391 PMCID: PMC6888929 DOI: 10.1186/s13287-019-1463-y] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2019] [Revised: 09/24/2019] [Accepted: 10/21/2019] [Indexed: 12/29/2022] Open
Abstract
Background The limited proliferative ability of hepatocytes is a major limitation to meet their demand for cell-based therapy, bio-artificial liver device, and drug tests. One strategy is to amplify cells at the hepatoblast (HB) stage. However, expansion of HBs with their bipotency preserved is challenging. Most HB expansion methods hardly maintain the bipotency and also lack functional confirmation. Methods On the basis of analyzing and manipulating related signaling pathways during HB (derived from human induced pluripotent stem cells, iPSCs) differentiation and proliferation, we established a specific chemically defined cocktails to synergistically regulate the related signaling pathways that optimize the balance of HB proliferation ability and stemness maintenance, to expand the HBs and investigate their capacity for injured liver repopulation in immune-deficient mice. Results We found that the proliferative ability progressively declines during HB differentiation process. Small molecule activation of Wnt or inhibition of TGF-β pathways promoted HB proliferation but diminished their bipotency, whereas activation of hedgehog (HH) signaling stimulated proliferation and sustained HB phenotypes. A cocktail synergistically regulating the BMP/WNT/TGF-β/HH pathways created a fine balance for expansion and maintenance of the bipotency of HBs. After purification, colony formation, and expansion for 20 passages, HBs retained their RNA profile integrity, normal karyotype, and ability to differentiate into mature hepatocytes and cholangiocytes. Moreover, upon transplantation into liver injured mice, the expanded HBs could engraft and differentiate into mature human hepatocytes and repopulate liver tissue with restoring hepatocyte mass. Conclusion Our data contribute to the understanding of some signaling pathways for human HB proliferation in vitro. Simultaneous BMP/HGF induction, activation of Wnt and HH, and inhibition of TGF-β pathways created a reliable method for long-term stable large-scale expansion of HBs to obtain mature hepatocytes that may have substantial clinical applications. Graphical abstract ![]()
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Affiliation(s)
- Tingcai Pan
- Institute of Public Health, Guangzhou Institutes of Biomedicine and Health (GIBH), Chinese Academy of Sciences, Guangzhou, 510530, China.,University of Chinese Academy of Science, Beijing, 100049, China.,Key Laboratory of Regenerative Biology, South China Institute for Stem Cell Biology and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, 510530, China.,Guangdong Provincial Key Laboratory of Biocomputing, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, 510530, China
| | - Yan Chen
- Institute of Public Health, Guangzhou Institutes of Biomedicine and Health (GIBH), Chinese Academy of Sciences, Guangzhou, 510530, China.,Key Laboratory of Regenerative Biology, South China Institute for Stem Cell Biology and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, 510530, China.,Guangdong Provincial Key Laboratory of Biocomputing, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, 510530, China
| | - Yuanqi Zhuang
- Institute of Public Health, Guangzhou Institutes of Biomedicine and Health (GIBH), Chinese Academy of Sciences, Guangzhou, 510530, China.,Key Laboratory of Regenerative Biology, South China Institute for Stem Cell Biology and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, 510530, China.,Guangdong Provincial Key Laboratory of Biocomputing, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, 510530, China
| | - Fan Yang
- Institute of Public Health, Guangzhou Institutes of Biomedicine and Health (GIBH), Chinese Academy of Sciences, Guangzhou, 510530, China.,Key Laboratory of Regenerative Biology, South China Institute for Stem Cell Biology and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, 510530, China.,Guangdong Provincial Key Laboratory of Biocomputing, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, 510530, China
| | - Yingying Xu
- Institute of Public Health, Guangzhou Institutes of Biomedicine and Health (GIBH), Chinese Academy of Sciences, Guangzhou, 510530, China.,Key Laboratory of Regenerative Biology, South China Institute for Stem Cell Biology and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, 510530, China.,Guangdong Provincial Key Laboratory of Biocomputing, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, 510530, China
| | - Jiawang Tao
- Institute of Public Health, Guangzhou Institutes of Biomedicine and Health (GIBH), Chinese Academy of Sciences, Guangzhou, 510530, China.,University of Chinese Academy of Science, Beijing, 100049, China.,Key Laboratory of Regenerative Biology, South China Institute for Stem Cell Biology and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, 510530, China.,Guangdong Provincial Key Laboratory of Biocomputing, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, 510530, China
| | - Kai You
- Institute of Public Health, Guangzhou Institutes of Biomedicine and Health (GIBH), Chinese Academy of Sciences, Guangzhou, 510530, China.,Key Laboratory of Regenerative Biology, South China Institute for Stem Cell Biology and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, 510530, China.,Guangdong Provincial Key Laboratory of Biocomputing, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, 510530, China
| | - Ning Wang
- Institute of Public Health, Guangzhou Institutes of Biomedicine and Health (GIBH), Chinese Academy of Sciences, Guangzhou, 510530, China.,Key Laboratory of Regenerative Biology, South China Institute for Stem Cell Biology and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, 510530, China.,Guangdong Provincial Key Laboratory of Biocomputing, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, 510530, China
| | - Yuhang Wu
- Institute of Public Health, Guangzhou Institutes of Biomedicine and Health (GIBH), Chinese Academy of Sciences, Guangzhou, 510530, China.,Key Laboratory of Regenerative Biology, South China Institute for Stem Cell Biology and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, 510530, China.,Guangdong Provincial Key Laboratory of Biocomputing, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, 510530, China
| | - Xianhua Lin
- Institute of Public Health, Guangzhou Institutes of Biomedicine and Health (GIBH), Chinese Academy of Sciences, Guangzhou, 510530, China.,Key Laboratory of Regenerative Biology, South China Institute for Stem Cell Biology and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, 510530, China.,Guangdong Provincial Key Laboratory of Biocomputing, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, 510530, China
| | - Feima Wu
- The Second Affiliated Hospital, Guangzhou Medical College, Guangzhou, 510260, China
| | - Yanli Liu
- The Second Affiliated Hospital, Guangzhou Medical College, Guangzhou, 510260, China
| | - Yingrui Li
- iCarbonX(Shenzhen) Company Limited, Shenzhen, 518000, China
| | - Guodong Wang
- The First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, 510080, China
| | - Yin-Xiong Li
- Institute of Public Health, Guangzhou Institutes of Biomedicine and Health (GIBH), Chinese Academy of Sciences, Guangzhou, 510530, China. .,University of Chinese Academy of Science, Beijing, 100049, China. .,Key Laboratory of Regenerative Biology, South China Institute for Stem Cell Biology and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, 510530, China. .,Guangdong Provincial Key Laboratory of Biocomputing, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, 510530, China. .,Guangzhou Regenerative Medicine and Health Guangdong Laboratory, Guangzhou, 510005, China.
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Xu G, Wu F, Gu X, Zhang J, You K, Chen Y, Getachew A, Zhuang Y, Zhong X, Lin Z, Guo D, Yang F, Pan T, Wei H, Li YX. Direct Conversion of Human Urine Cells to Neurons by Small Molecules. Sci Rep 2019; 9:16707. [PMID: 31723223 PMCID: PMC6854089 DOI: 10.1038/s41598-019-53007-6] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2019] [Accepted: 10/25/2019] [Indexed: 02/07/2023] Open
Abstract
Transdifferentiation of other cell type into human neuronal cells (hNCs) provides a platform for neural disease modeling, drug screening and potential cell-based therapies. Among all of the cell donor sources, human urine cells (hUCs) are convenient to obtain without invasive harvest procedure. Here, we report a novel approach for the transdifferentiation of hUCs into hNCs. Our study demonstrated that a combination of seven small molecules (CAYTFVB) cocktail induced transdifferentiation of hUCs into hNCs. These chemical-induced neuronal cells (CiNCs) exhibited typical neuron-like morphology and expressed mature neuronal markers. The neuronal-like morphology revealed in day 1, and the Tuj1-positive CiNCs reached to about 58% in day 5 and 38.36% Tuj1+/MAP2+ double positive cells in day 12. Partial electrophysiological properties of CiNCs was obtained using patch clamp. Most of the CiNCs generated using our protocol were glutamatergic neuron populations, whereas motor neurons, GABAergic or dopaminergic neurons were merely detected. hUCs derived from different donors were converted into CiNCs in this work. This method may provide a feasible and noninvasive approach for reprogramming hNCs from hUCs for disease models and drug screening.
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Affiliation(s)
- Guosheng Xu
- Institute of Public Health, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China.,Guangdong Provincial Key Laboratory of Biocomputing, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China.,Key Laboratory of Regenerative Biology, South China Institute for Stem Cell Biology and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China.,University of Chinese Academy of Sciences, Beijing, China.,Guangzhou Blood Center, Guangzhou, China
| | - Feima Wu
- Institute of Public Health, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China.,Guangdong Provincial Key Laboratory of Biocomputing, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China.,Key Laboratory of Regenerative Biology, South China Institute for Stem Cell Biology and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China.,University of Chinese Academy of Sciences, Beijing, China
| | - Xiaotong Gu
- Institute of Public Health, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
| | - Jiaye Zhang
- Institute of Public Health, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
| | - Kai You
- Institute of Public Health, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China.,Guangdong Provincial Key Laboratory of Biocomputing, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China.,Key Laboratory of Regenerative Biology, South China Institute for Stem Cell Biology and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
| | - Yan Chen
- Institute of Public Health, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China.,Guangdong Provincial Key Laboratory of Biocomputing, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China.,Key Laboratory of Regenerative Biology, South China Institute for Stem Cell Biology and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
| | - Anteneh Getachew
- Institute of Public Health, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China.,Guangdong Provincial Key Laboratory of Biocomputing, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China.,Key Laboratory of Regenerative Biology, South China Institute for Stem Cell Biology and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China.,University of Chinese Academy of Sciences, Beijing, China
| | - Yuanqi Zhuang
- Institute of Public Health, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China.,Guangdong Provincial Key Laboratory of Biocomputing, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China.,Key Laboratory of Regenerative Biology, South China Institute for Stem Cell Biology and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China.,University of Chinese Academy of Sciences, Beijing, China
| | - Xiaofen Zhong
- Institute of Public Health, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China.,Guangdong Provincial Key Laboratory of Biocomputing, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China.,Key Laboratory of Regenerative Biology, South China Institute for Stem Cell Biology and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China.,University of Chinese Academy of Sciences, Beijing, China
| | - Zuoxian Lin
- Institute of Public Health, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
| | - Dongsheng Guo
- Institute of Public Health, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China.,Guangdong Provincial Key Laboratory of Biocomputing, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China.,Key Laboratory of Regenerative Biology, South China Institute for Stem Cell Biology and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China.,University of Chinese Academy of Sciences, Beijing, China
| | - Fan Yang
- Institute of Public Health, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China.,Guangdong Provincial Key Laboratory of Biocomputing, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China.,Key Laboratory of Regenerative Biology, South China Institute for Stem Cell Biology and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
| | - Tingcai Pan
- Institute of Public Health, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China.,Guangdong Provincial Key Laboratory of Biocomputing, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China.,Key Laboratory of Regenerative Biology, South China Institute for Stem Cell Biology and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China.,University of Chinese Academy of Sciences, Beijing, China
| | - Hongcheng Wei
- Department of Gastroenterology, The First Affiliated Hospital of Jinan University, Guangzhou, China
| | - Yin-Xiong Li
- Institute of Public Health, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China. .,Guangdong Provincial Key Laboratory of Biocomputing, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China. .,Key Laboratory of Regenerative Biology, South China Institute for Stem Cell Biology and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China. .,University of Chinese Academy of Sciences, Beijing, China. .,Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, Guangzhou, China. .,Guangzhou Regenerative Medicine and Health Guangdong Laboratory, Guangzhou, China.
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30
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Abstract
INTRODUCTION Sleep-disordered breathing (SDB) is associated with atherosclerosis. Peripheral arterial disease (PAD) is a manifestation of atherosclerosis in lower extremity arteries. No systematic review addressing the relationship between PAD and SDB was found. We performed this study aimed to summarize the relationship between SDB and PAD described in current clinical studies. MATERIAL AND METHODS PubMed and Embase electronic databases were searched for clinical articles (published before 3 April, 2019) describing studies that evaluated the association between SDB and PAD. We showed the results involved in the association in clinical studies. RESULTS In total, 8 clinical studies have been included, and most of them were cross-sectional studies. Six articles demonstrated the coexistence of SDB and PAD, evidenced by high prevalence of SDB in patients with PAD and vice versa. Meanwhile, the included studies exhibited independent positive associations between SDB or sleep parameters and PAD after adjusting for multiple confounders. CONCLUSION From present clinical prospective, positive association between SDB and PAD was shown. More prospective, randomized controlled studies are needed to establish the cause-effect relationships involved.
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Affiliation(s)
- Yunyan Xia
- Department of Otorhinolaryngology-Head and Neck Surgery, 117970First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China
| | - Kai You
- Department of Anesthesiology, 117970First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China
| | - Yuanping Xiong
- Department of Otorhinolaryngology-Head and Neck Surgery, 117970First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China
| | - Hongqun Jiang
- Department of Otorhinolaryngology-Head and Neck Surgery, 117970First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China
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31
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You K, Parikh P, Khandalavala K, Wicher SA, Manlove L, Yang B, Roesler A, Roos BB, Teske JJ, Britt RD, Pabelick CM, Prakash YS. Moderate hyperoxia induces senescence in developing human lung fibroblasts. Am J Physiol Lung Cell Mol Physiol 2019; 317:L525-L536. [PMID: 31411059 DOI: 10.1152/ajplung.00067.2019] [Citation(s) in RCA: 33] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Abstract
Hyperoxia exposure in premature infants increases the risk of subsequent lung diseases, such as asthma and bronchopulmonary dysplasia. Fibroblasts help maintain bronchial and alveolar integrity. Thus, understanding mechanisms by which hyperoxia influences fibroblasts is critical. Cellular senescence is increasingly recognized as important to the pathophysiology of multiple diseases. We hypothesized that clinically relevant moderate hyperoxia (<50% O2) induces senescence in developing fibroblasts. Using primary human fetal lung fibroblasts, we investigated effects of 40% O2 on senescence, endoplasmic reticulum (ER) stress, and autophagy pathways. Fibroblasts were exposed to 21% or 40% O2 for 7 days with etoposide as a positive control to induce senescence, evaluated by morphological changes, β-galactosidase activity, and DNA damage markers. Senescence-associated secretory phenotype (SASP) profile of inflammatory and profibrotic markers was further assessed. Hyperoxia decreased proliferation but increased cell size. SA-β-gal activity and DNA damage response, cell cycle arrest in G2/M phase, and marked upregulation of phosphorylated p53 and p21 were noted. Reduced autophagy was noted with hyperoxia. mRNA expression of proinflammatory and profibrotic factors (TNF-α, IL-1, IL-8, MMP3) was elevated by hyperoxia or etoposide. Hyperoxia increased several SASP factors (PAI-1, IL1-α, IL1-β, IL-6, LAP, TNF-α). The secretome of senescent fibroblasts promoted extracellular matrix formation by naïve fibroblasts. Overall, we demonstrate that moderate hyperoxia enhances senescence in primary human fetal lung fibroblasts with reduced autophagy but not enhanced ER stress. The resulting SASP is profibrotic and may contribute to abnormal repair in the lung following hyperoxia.
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Affiliation(s)
- Kai You
- Department of Neonatology, Shengjing Hospital of China Medical University, Shenyang City, China.,Department of Anesthesiology and Perioperative Medicine, Mayo Clinic, Rochester, Minnesota.,Department of Physiology and Biomedical Engineering, Mayo Clinic, Rochester, Minnesota
| | - Pavan Parikh
- Department of Obstetrics and Gynecology, Mayo Clinic, Rochester, Minnesota
| | - Karl Khandalavala
- Department of Neonatology, Shengjing Hospital of China Medical University, Shenyang City, China
| | - Sarah A Wicher
- Department of Neonatology, Shengjing Hospital of China Medical University, Shenyang City, China
| | - Logan Manlove
- Department of Neonatology, Shengjing Hospital of China Medical University, Shenyang City, China
| | - Binxia Yang
- Department of Neonatology, Shengjing Hospital of China Medical University, Shenyang City, China
| | - Annie Roesler
- Department of Neonatology, Shengjing Hospital of China Medical University, Shenyang City, China
| | - Ben B Roos
- Department of Neonatology, Shengjing Hospital of China Medical University, Shenyang City, China
| | - Jacob J Teske
- Department of Neonatology, Shengjing Hospital of China Medical University, Shenyang City, China
| | - Rodney D Britt
- Center for Perinatal Research, The Research Institute at Nationwide Children's Hospital, Columbus, Ohio.,Department of Pediatrics, The Ohio State University, Columbus, Ohio
| | - Christina M Pabelick
- Department of Neonatology, Shengjing Hospital of China Medical University, Shenyang City, China.,Department of Anesthesiology and Perioperative Medicine, Mayo Clinic, Rochester, Minnesota
| | - Y S Prakash
- Department of Neonatology, Shengjing Hospital of China Medical University, Shenyang City, China.,Department of Anesthesiology and Perioperative Medicine, Mayo Clinic, Rochester, Minnesota
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Shupler M, Hystad P, Gustafson P, Rangarajan S, Mushtaha M, Jayachtria KG, Mony PK, Mohan D, Kumar P, Lakshmi PVM, Sagar V, Gupta R, Mohan I, Nair S, Varma RP, Li W, Hu B, You K, Ncube T, Ncube B, Chifamba J, West N, Yeates K, Iqbal R, Khawaja R, Yusuf R, Khan A, Seron P, Lanas F, Lopez-Jaramillo P, Camacho PA, Puoane T, Yusuf S, Brauer M. Household, Community, Sub-National and Country-level Predictors of Primary Cooking Fuel Switching in Nine Countries from the PURE Study. Environ Res Lett 2019; 14:085006. [PMID: 33777170 PMCID: PMC7995525 DOI: 10.1088/1748-9326/ab2d46] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/05/2023]
Abstract
INTRODUCTION Switching from polluting (e.g. wood, crop waste, coal) to clean cooking fuels (e.g. gas, electricity) can reduce household air pollution (HAP) exposures and climate-forcing emissions. While studies have evaluated specific interventions and assessed fuel-switching in repeated cross-sectional surveys, the role of different multilevel factors in household fuel switching, outside of interventions and across diverse community settings, is not well understood. METHODS We examined longitudinal survey data from 24,172 households in 177 rural communities across nine countries within the Prospective Urban and Rural Epidemiology (PURE) study. We assessed household-level primary cooking fuel switching during a median of 10 years of follow up (~2005-2015). We used hierarchical logistic regression models to examine the relative importance of household, community, sub-national and national-level factors contributing to primary fuel switching. RESULTS One-half of study households (12,369) reported changing their primary cooking fuels between baseline and follow up surveys. Of these, 61% (7,582) switched from polluting (wood, dung, agricultural waste, charcoal, coal, kerosene) to clean (gas, electricity) fuels, 26% (3,109) switched between different polluting fuels, 10% (1,164) switched from clean to polluting fuels and 3% (522) switched between different clean fuels. Among the 17,830 households using polluting cooking fuels at baseline, household-level factors (e.g. larger household size, higher wealth, higher education level) were most strongly associated with switching from polluting to clean fuels in India; in all other countries, community-level factors (e.g. larger population density in 2010, larger increase in population density between 2005-2015) were the strongest predictors of polluting-to-clean fuel switching. CONCLUSIONS The importance of community and sub-national factors relative to household characteristics in determining polluting-to-clean fuel switching varied dramatically across the nine countries examined. This highlights the potential importance of national and other contextual factors in shaping large-scale clean cooking transitions among rural communities in low- and middle-income countries.
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Affiliation(s)
- Matthew Shupler
- School of Population and Public Health, University of British Columbia, Vancouver, British Columbia, Canada
| | - Perry Hystad
- College of Public Health and Human Sciences, Oregon State University, Corvallis, Oregon, United States
| | - Paul Gustafson
- Department of Statistics, University of British Columbia, Vancouver, British Columbia
| | - Sumathy Rangarajan
- Population Health Research Institute, Hamilton Health Sciences, McMaster University, Hamilton, Ontario, Canada
| | - Maha Mushtaha
- Population Health Research Institute, Hamilton Health Sciences, McMaster University, Hamilton, Ontario, Canada
| | - KG Jayachtria
- St. John’s Medical College & Research Institute, Bangalore, India
| | - Prem K. Mony
- St. John’s Medical College & Research Institute, Bangalore, India
| | - Deepa Mohan
- Madras Diabetes Research Foundation, Chennai, India
| | | | - PVM Lakshmi
- School of Public Health, PGIMER, Chandigarh, India
| | - Vivek Sagar
- School of Public Health, PGIMER, Chandigarh, India
- Department of Community Medicine, PGIMER, Chandigarh, India
| | - Rajeev Gupta
- Eternal Heart Care Centre and Research Institute, Jaipur, India
| | - Indu Mohan
- Eternal Heart Care Centre and Research Institute, Jaipur, India
| | - Sanjeev Nair
- Health Action By People, Thiruvananthapuram and Medical College, Trivandrum, India
| | - Ravi Prasad Varma
- Health Action By People, Thiruvananthapuram and Medical College, Trivandrum, India
- Achutha Menon Centre for Health Science Studies, Trivandrum India
| | - Wei Li
- Medical Research & Biometrics Center, National Center for Cardiovascular Diseases, Beijing, China
| | - Bo Hu
- Medical Research & Biometrics Center, National Center for Cardiovascular Diseases, Beijing, China
| | - Kai You
- Shunyi District Center for Disease Prevention and Control, Beijing, China
| | - Tatenda Ncube
- Department of Physiology, University of Zimbabwe, Harare, Zimbabwe
| | - Brian Ncube
- Department of Physiology, University of Zimbabwe, Harare, Zimbabwe
| | - Jephat Chifamba
- Department of Physiology, University of Zimbabwe, Harare, Zimbabwe
| | - Nicola West
- Pamoja Tunaweza Research Centre, Moshi, Tanzania
| | - Karen Yeates
- Pamoja Tunaweza Research Centre, Moshi, Tanzania
- Department of Medicine, Queen’s University, Kingston, Ontario, Canada
| | - Romaina Iqbal
- Department of Community Health Science, Aga Khan University Hospital, Karachi, Pakistan
| | - Rehman Khawaja
- Department of Community Health Science, Aga Khan University Hospital, Karachi, Pakistan
| | - Rita Yusuf
- School of Life Sciences, Independent University, Dhaka, Bangladesh
| | - Afreen Khan
- School of Life Sciences, Independent University, Dhaka, Bangladesh
| | | | | | - Patricio Lopez-Jaramillo
- Research Department, FOSCAL and Medical School, Universidad de Santander (UDES), Bucaramanga, Colombia
| | - Paul A. Camacho
- Research Department, FOSCAL and Medical School, Universidad Autonoma de Bucaramanga (UNAB), Colombia
| | - Thandi Puoane
- School of Public Health, University of the Western Cape, Bellville, South Africa
| | - Salim Yusuf
- Population Health Research Institute, Hamilton Health Sciences, McMaster University, Hamilton, Ontario, Canada
| | - Michael Brauer
- School of Population and Public Health, University of British Columbia, Vancouver, British Columbia, Canada
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Xu X, You K, Wu B. Zonula occludens-1 associated nucleic acid binding protein plays an invasion-promoting role in bladder cancer. Neoplasma 2019; 66:405-419. [PMID: 30784285 DOI: 10.4149/neo_2018_180725n530] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2018] [Accepted: 11/21/2018] [Indexed: 11/08/2022]
Abstract
Cancer cell invasion is an important characteristic of malignant tumors. Cancer cells overcome the constraints of tight junctions (TJ) to invade other tissues, but less is known about the regulating role of tight junction on bladder cancer (BC) invasion. In order to identify the invasion-regulating function of tight junction component, we investigated the oncogenetic features of zonula occludens-1 associated nucleic acid binding protein (ZONAB), a TJ protein that is usually highly expressed in solid cancers. Expression of ZONAB was found to be up-regulated in human BC cell lines detected by real-time PCR, Western blotting. ZONAB expression was significantly up-regulated in BC cell lines and negatively regulated E-cadherin expression. Overexpression of ZONAB by stable transduction in human BC cell lines promoted invasion detected by transwell invasion assay. Conversely, stable suppression of ZONAB expression by RNA interference (RNAi) in BC cells attenuated invasion. A similar role for ZONAB in promoting invasion and EMT was observed in xenografts. In summary, ZONAB is up-regulated in BC cell lines, which promotes invasion, demonstrating the important role it plays in tumorogenesis and cancer progression.
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Affiliation(s)
- X Xu
- Department of Urology, Shengjing Hospital of China Medical University, China Medical University, Shenyang, Liaoning, China
| | - K You
- Department of Neonatology, Shengjing Hospital of China Medical University, China Medical University, Shenyang, Liaoning, China
| | - B Wu
- Department of Urology, Shengjing Hospital of China Medical University, China Medical University, Shenyang, Liaoning, China
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Wei R, Yuan F, Wu Y, Liu Y, You K, Yang Z, Chen Y, Getachew A, Wang N, Xu Y, Zhuang Y, Yang F, Li YX. Construction of a GLI3 compound heterozygous knockout human embryonic stem cell line WAe001-A-20 by CRISPR/Cas9 editing. Stem Cell Res 2018; 32:139-144. [PMID: 30278376 DOI: 10.1016/j.scr.2018.09.010] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/23/2018] [Revised: 08/20/2018] [Accepted: 09/13/2018] [Indexed: 11/28/2022] Open
Abstract
The human GLI3 protein has a dual function as a transcriptional activator or repressor of hedgehog signaling, depending on the proteolytic processing forms of GLI3. In this study, we established a compound heterozygous GLI3 mutant human embryonic stem cell line (WAe001-A-20) through CRISPR/Cas9 editing. The WAe001-A-20 cells carried two deletions on two different alleles of exon 2 of GLI3, respectively, which resulted in a frame shift and early termination in the translation of GLI3. Moreover, WAe001-A-20 maintains a normal karyotype, parental cell morphology, pluripotent phenotype and the ability to differentiate into three germ layers. Resource table.
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Affiliation(s)
- Ruzhi Wei
- Institute of Public Health, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China; Guangdong Provincial Key Laboratory of Biocomputing, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China; Key Laboratory of Regenerative Biology, South China Institute for Stem Cell Biology and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China; University of Chinese Academy of Sciences, Beijing, China
| | - Fang Yuan
- Institute of Public Health, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China; Guangdong Provincial Key Laboratory of Biocomputing, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China; Key Laboratory of Regenerative Biology, South China Institute for Stem Cell Biology and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
| | - Yuhang Wu
- Institute of Public Health, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China; Guangdong Provincial Key Laboratory of Biocomputing, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China; Key Laboratory of Regenerative Biology, South China Institute for Stem Cell Biology and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
| | - Yanli Liu
- Institute of Public Health, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China; Guangdong Provincial Key Laboratory of Biocomputing, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China; Key Laboratory of Regenerative Biology, South China Institute for Stem Cell Biology and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China; University of Chinese Academy of Sciences, Beijing, China
| | - Kai You
- Institute of Public Health, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China; Guangdong Provincial Key Laboratory of Biocomputing, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China; Key Laboratory of Regenerative Biology, South China Institute for Stem Cell Biology and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
| | - Zhen Yang
- Institute of Public Health, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China; Guangdong Provincial Key Laboratory of Biocomputing, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China; Key Laboratory of Regenerative Biology, South China Institute for Stem Cell Biology and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China; University of Chinese Academy of Sciences, Beijing, China
| | - Yan Chen
- Institute of Public Health, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China; Guangdong Provincial Key Laboratory of Biocomputing, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China; Key Laboratory of Regenerative Biology, South China Institute for Stem Cell Biology and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
| | - Anteneh Getachew
- Institute of Public Health, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China; Guangdong Provincial Key Laboratory of Biocomputing, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China; Key Laboratory of Regenerative Biology, South China Institute for Stem Cell Biology and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China; University of Chinese Academy of Sciences, Beijing, China
| | - Ning Wang
- Institute of Public Health, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China; Guangdong Provincial Key Laboratory of Biocomputing, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China; Key Laboratory of Regenerative Biology, South China Institute for Stem Cell Biology and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
| | - Yingying Xu
- Institute of Public Health, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China; Guangdong Provincial Key Laboratory of Biocomputing, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China; Key Laboratory of Regenerative Biology, South China Institute for Stem Cell Biology and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
| | - Yuanqi Zhuang
- Institute of Public Health, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China; Guangdong Provincial Key Laboratory of Biocomputing, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China; Key Laboratory of Regenerative Biology, South China Institute for Stem Cell Biology and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
| | - Fan Yang
- Institute of Public Health, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China; Guangdong Provincial Key Laboratory of Biocomputing, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China; Key Laboratory of Regenerative Biology, South China Institute for Stem Cell Biology and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
| | - Yin-Xiong Li
- Institute of Public Health, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China; Guangdong Provincial Key Laboratory of Biocomputing, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China; Key Laboratory of Regenerative Biology, South China Institute for Stem Cell Biology and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China; University of Chinese Academy of Sciences, Beijing, China.
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You K, Li SY, Gong J, Fang JH, Zhang C, Zhang M, Yuan Y, Yang J, Zhuang SM. MicroRNA-125b Promotes Hepatic Stellate Cell Activation and Liver Fibrosis by Activating RhoA Signaling. Mol Ther Nucleic Acids 2018; 12:57-66. [PMID: 30195793 PMCID: PMC6023793 DOI: 10.1016/j.omtn.2018.04.016] [Citation(s) in RCA: 36] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/29/2018] [Accepted: 04/29/2018] [Indexed: 12/21/2022]
Abstract
miR-125b is frequently dysregulated in different diseases. Activation of hepatic stellate cells (HSCs) is a critical event during liver fibrogenesis. However, the function and its underlying mechanism of miR-125b in HSC activation and liver fibrosis are still unknown. Here, we showed that miR-125b was upregulated in HSCs, but not in hepatocytes, during hepatic fibrogenesis in vivo and upon culture activation in vitro. Inhibition of miR-125b suppressed the expression of profibrogenic genes in culture-activated primary HSCs and reduced the basal and transforming growth factor β (TGF-β)-induced alpha-smooth muscle actin (α-SMA) expression and cell contraction of the immortalized HSC cell line. In contrast, ectopic expression of miR-125b promoted α-SMA expression and HSC contraction. Moreover, antagonizing miR-125b in vivo significantly alleviated liver fibrosis in CCl4-treated mice. Mechanistically, overexpression of miR-125b in HSCs enhanced RhoA activity by directly targeting StAR-related lipid transfer (START) domain containing 13 (Stard13), a RhoA-specific GTPase-activating protein, whereas knockdown of miR-125b abrogated RhoA activation. Furthermore, inhibition of RhoA or its downstream molecules, Mrtf-A and Srf, attenuated the miR-125b-induced α-SMA expression and HSC contraction. Therefore, our findings identify a miR-125b-Stard13-RhoA-α-SMA signaling cascade in HSCs and highlight its importance in hepatic fibrosis.
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Affiliation(s)
- Kai You
- Key Laboratory of Gene Engineering of the Ministry of Education, State Key Laboratory of Biocontrol, Collaborative Innovation Center for Cancer Medicine, School of Life Sciences, Sun Yat-sen University, Guangzhou, China
| | - Song-Yang Li
- Key Laboratory of Gene Engineering of the Ministry of Education, State Key Laboratory of Biocontrol, Collaborative Innovation Center for Cancer Medicine, School of Life Sciences, Sun Yat-sen University, Guangzhou, China
| | - Jiao Gong
- Key Laboratory of Liver Disease of Guangdong Province, The Third Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Jian-Hong Fang
- Key Laboratory of Gene Engineering of the Ministry of Education, State Key Laboratory of Biocontrol, Collaborative Innovation Center for Cancer Medicine, School of Life Sciences, Sun Yat-sen University, Guangzhou, China
| | - Chong Zhang
- Key Laboratory of Gene Engineering of the Ministry of Education, State Key Laboratory of Biocontrol, Collaborative Innovation Center for Cancer Medicine, School of Life Sciences, Sun Yat-sen University, Guangzhou, China
| | - Min Zhang
- Key Laboratory of Liver Disease of Guangdong Province, The Third Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Yunfei Yuan
- Cancer Center, Sun Yat-sen University, Guangzhou, China
| | - Jine Yang
- Key Laboratory of Gene Engineering of the Ministry of Education, State Key Laboratory of Biocontrol, Collaborative Innovation Center for Cancer Medicine, School of Life Sciences, Sun Yat-sen University, Guangzhou, China.
| | - Shi-Mei Zhuang
- Key Laboratory of Gene Engineering of the Ministry of Education, State Key Laboratory of Biocontrol, Collaborative Innovation Center for Cancer Medicine, School of Life Sciences, Sun Yat-sen University, Guangzhou, China; Key Laboratory of Liver Disease of Guangdong Province, The Third Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
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You K, Bendl R, Taut C, Sullivan R, Gachabayov M, Bergamaschi R, Connolly TM, Yang K, Giuratrabocchetta S, Denoya PI, Zawin M, Ferretti J, Baer A, Wertheim W. Randomized clinical trial of elective resection versus observation in diverticulitis with extraluminal air or abscess initially managed conservatively. Br J Surg 2018; 105:971-979. [DOI: 10.1002/bjs.10868] [Citation(s) in RCA: 36] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2017] [Revised: 02/26/2018] [Accepted: 03/02/2018] [Indexed: 11/09/2022]
Abstract
Abstract
Background
The aim of this RCT was to determine whether elective resection following successful non-operative management of a first episode of acute sigmoid diverticulitis complicated by extraluminal air with or without abscess is superior to observation in terms of recurrence rates.
Methods
This was a single-centre, sequential design RCT. Patients were randomized to elective surgery or observation following non-operative management and colonoscopy. Non-operative management included nil by mouth, intravenous fluids, intravenous antibiotics, CT with intravenous contrast on arrival at hospital, and repeat CT with intravenous and rectal contrast on day 3 in hospital. The primary endpoint was recurrent diverticulitis at 24 months. Patients with a history of sigmoid diverticulitis, immunosuppression or peritonitis were not included.
Results
Of 137 screened patients, 107 were assigned randomly to elective surgery (26) or observation (81), and underwent the allocated intervention after successful non-operative management. Conservative management failed in 15 patients. Groups were similar in age, sex, BMI, co-morbidities and colorectal POSSUM. Rates of recurrent diverticulitis differed significantly in the elective surgery and observation groups (8 versus 32 per cent; P = 0·019) at a mean(s.d.) follow-up of 37·8(8·6) and 35·2(9·2) months respectively. There was also a significant difference in time to recurrence (median 11 versus 7 months; P = 0·015). A total of 28 patients presented with recurrent diverticulitis complicated by extraluminal air and/or abscess (2 elective surgery, 26 observation), all of whom recovered with repeat non-operative management.
Conclusion
The majority of patients observed following conservative management of diverticulitis with local extraluminal air do not require elective surgery. Registration number: NCT01986686 (http://www.clinicaltrials.gov).
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Affiliation(s)
- K You
- Division of Colon and Rectal Surgery, State University of New York, Stony Brook, New York, USA
| | - R Bendl
- Division of Colon and Rectal Surgery, State University of New York, Stony Brook, New York, USA
| | - C Taut
- Division of Colon and Rectal Surgery, State University of New York, Stony Brook, New York, USA
| | - R Sullivan
- Division of Colon and Rectal Surgery, State University of New York, Stony Brook, New York, USA
| | - M Gachabayov
- Division of Colon and Rectal Surgery, State University of New York, Stony Brook, New York, USA
| | - R Bergamaschi
- Division of Colon and Rectal Surgery, State University of New York, Stony Brook, New York, USA
| | - T M Connolly
- Division of Colon and Rectal Surgery, State University of New York
| | - K Yang
- Division of Colon and Rectal Surgery, State University of New York
| | | | - P I Denoya
- Division of Colon and Rectal Surgery, State University of New York
| | - M Zawin
- Department of Radiology, State University of New York
| | - J Ferretti
- Division of Interventional Radiology, State University of New York
| | - A Baer
- Department of Emergency Medicine, State University of New York
| | - W Wertheim
- Department of Medicine, State University of New York
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Martinek L, You K, Giuratrabocchetta S, Gachabayov M, Lee K, Bergamaschi R. Does laparoscopic intracorporeal ileocolic anastomosis decreases surgical site infection rate? A propensity score-matched cohort study. Int J Colorectal Dis 2018; 33:291-298. [PMID: 29327167 DOI: 10.1007/s00384-017-2957-7] [Citation(s) in RCA: 25] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 12/31/2017] [Indexed: 02/04/2023]
Abstract
AIM Foreshortened mesentery or thick abdominal wall constitutes a rationale for laparoscopic intracorporeal ileocolic anastomoses (ICA). The aim of this study was to compare intracorporeal to extracorporeal ICA in terms of surgical site infections in patients with Crohn's ileitis and overweight patients with right colon tumors. METHOD This was a prospective propensity score-matched cohort study enrolling consecutive patients with Crohn's terminal ileitis and overweight patients with right colon tumors undergoing elective laparoscopic right colon resection with intracorporeal or extracorporeal ICA. Propensity score matching with a 1:1 ratio was employed to compare diagnosis-matched patients for age, BMI, ASA, and previous abdominal surgery. RESULTS Overall, 453 patients were enrolled: 233 intracorporeal vs. 220 extracorporeal. Propensity score matching left 195 intracorporeal and 195 extracorporeal patients comparable for age (p = 0.294), gender (p = 0.683), ASA (p = 0.545), BMI (p = 0.079), previous abdominal surgery (p = 0.348), and diagnosis (p = 0.301). Conversion rates (5.1 vs. 3.6%; p = 0.457) and intraoperative complications (1 vs. 2.1%; p = 0.45) were similar. Overall morbidity (5.1 vs. 12.8%; p = 0.008) and re-intervention rates (3.1 vs. 8.7%; p = 0.029) were significantly higher in extracorporeal patients. Anastomotic leak rates (0.5 vs. 1.5%; p = 0.623) did not differ. Incisional SSI rate was significantly higher in extracorporeal patients (p = 0.01). CONCLUSION Laparoscopic intracorporeal ICA reduced incisional SSI rates as compared to its extracorporeal counterpart.
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Affiliation(s)
- L Martinek
- Department of Surgery, University Hospital Ostrava, Ostrava, Czech Republic
| | - K You
- Division of Colorectal surgery, State University of New York, Stony Brook, NY, USA
| | - S Giuratrabocchetta
- Division of Colorectal surgery, State University of New York, Stony Brook, NY, USA
| | - M Gachabayov
- Division of Colorectal surgery, State University of New York, Stony Brook, NY, USA
| | - K Lee
- Division of Colorectal surgery, State University of New York, Stony Brook, NY, USA
| | - R Bergamaschi
- Division of Colorectal surgery, State University of New York, Stony Brook, NY, USA.
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Wang R, Fu T, You K, Li S, Zhao N, Yang J, Zhuang SM. Identification of a TGF-β-miR-195 positive feedback loop in hepatocytes and its deregulation in hepatoma cells. FASEB J 2018; 32:3936-3945. [PMID: 29465312 DOI: 10.1096/fj.201701199r] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Abstract
Resistance to TGF-β-induced growth repression is prevalent in various cancer cells, but the underlying mechanisms remain unclear. In this study, we showed that activation of TGF-β signaling caused Sma- and Mad-related family (Smad) 2 and Smad3 to bind directly to the promoter region of miR-195, and then activated miR-195 transcription in normal hepatocytes. Conversely, miR-195 inhibited the expression of Smad7 by binding to its 3'-UTR, thereby strengthening TGF-β-Smad signaling. These data identify a novel TGF-β-miR-195 positive regulatory circuitry in normal hepatocytes. Further investigation revealed that HDAC1, a histone deacetylase that was abnormally overexpressed in hepatocellular carcinoma, could bind to the miR-195 promoter via Smad3 and cause hypoacetylation in the histones associated with the miR-195 promoter in hepatoma cells. This resulted in transcriptional repression of miR-195 and, subsequently, disruption of the TGF-β-miR-195 regulatory loop and evasion of TGF-β-mediated growth inhibition. Moreover, silencing HDAC1 in hepatoma cells restored TGF-β-mediated growth suppression, but this effect was attenuated if miR-195 expression decreased. These findings suggest that HDAC1-induced miR-195 down-regulation is an important mechanism for tumor cells to resist the cytostatic activity of TGF-β, and highlight the importance of TGF-β-Smad2/3-miR-195-Smad7 circuitry in preventing uncontrolled cell proliferation.-Wang, R., Fu, T., You, K., Li, S., Zhao, N., Yang, J., Zhuang, S.-M. Identification of a TGF-β-miR-195 positive feedback loop in hepatocytes and its deregulation in hepatoma cells.
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Affiliation(s)
- Ruizhi Wang
- Key Laboratory of Gene Engineering, Ministry of Education, State Key Laboratory of Biocontrol, Collaborative Innovation Center for Cancer Medicine, School of Life Sciences, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China; and.,Department of Laboratory Medicine, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Tao Fu
- Key Laboratory of Gene Engineering, Ministry of Education, State Key Laboratory of Biocontrol, Collaborative Innovation Center for Cancer Medicine, School of Life Sciences, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China; and
| | - Kai You
- Key Laboratory of Gene Engineering, Ministry of Education, State Key Laboratory of Biocontrol, Collaborative Innovation Center for Cancer Medicine, School of Life Sciences, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China; and
| | - Siwen Li
- Key Laboratory of Gene Engineering, Ministry of Education, State Key Laboratory of Biocontrol, Collaborative Innovation Center for Cancer Medicine, School of Life Sciences, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China; and
| | - Na Zhao
- Key Laboratory of Gene Engineering, Ministry of Education, State Key Laboratory of Biocontrol, Collaborative Innovation Center for Cancer Medicine, School of Life Sciences, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China; and
| | - Jine Yang
- Key Laboratory of Gene Engineering, Ministry of Education, State Key Laboratory of Biocontrol, Collaborative Innovation Center for Cancer Medicine, School of Life Sciences, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China; and
| | - Shi-Mei Zhuang
- Key Laboratory of Gene Engineering, Ministry of Education, State Key Laboratory of Biocontrol, Collaborative Innovation Center for Cancer Medicine, School of Life Sciences, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China; and
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Wu F, Gao G, Pan T, Yang Z, Xu G, Abbas N, Liu Y, Chen Y, Tan S, You K, Ke X, Zhuang Y, Lin X, Yang F, Li YX. Generation of a SMO homozygous knockout human embryonic stem cell line WAe001-A-16 by CRISPR/Cas9 editing. Stem Cell Res 2017; 27:5-9. [PMID: 29278761 DOI: 10.1016/j.scr.2017.12.002] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/02/2017] [Revised: 11/08/2017] [Accepted: 12/04/2017] [Indexed: 11/25/2022] Open
Abstract
The human SMO protein encoded by the smoothened (SMO) gene acts as a positive mediator for Hedgehog signaling. This pathway regulates many cellular activities, developmental morphogenesis, and tumorigenesis. Using CRISPR/Cas9 to edit human embryonic stem cell line WA01 (H1), we established a SMO mutant cell line (WAe001-A-16). This cell line has a 40bp homozygous deletion in exon 2 of SMO leading to a shift in the open reading frame and early termination at amino acid position 287. WAe001-A-16 maintains a normal karyotype, parental cell morphology, pluripotency markers, and the capacity to differentiate into all three germline layers.
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Affiliation(s)
- Feima Wu
- Institute of Public Health, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China; Guangdong Provincial Key Laboratory of Biocomputing, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China; Key Laboratory of Regenerative Biology, South China Institute for Stem Cell Biology and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China; University of Chinese Academy of Sciences, Beijing, China
| | - Ge Gao
- Institute of Public Health, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China; Guangdong Provincial Key Laboratory of Biocomputing, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China; Key Laboratory of Regenerative Biology, South China Institute for Stem Cell Biology and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
| | - Tingcai Pan
- Institute of Public Health, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China; Guangdong Provincial Key Laboratory of Biocomputing, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China; Key Laboratory of Regenerative Biology, South China Institute for Stem Cell Biology and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China; University of Chinese Academy of Sciences, Beijing, China
| | - Zhen Yang
- Institute of Public Health, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China; Guangdong Provincial Key Laboratory of Biocomputing, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China; Key Laboratory of Regenerative Biology, South China Institute for Stem Cell Biology and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China; University of Chinese Academy of Sciences, Beijing, China
| | - Guosheng Xu
- Institute of Public Health, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China; Guangdong Provincial Key Laboratory of Biocomputing, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China; Key Laboratory of Regenerative Biology, South China Institute for Stem Cell Biology and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China; University of Chinese Academy of Sciences, Beijing, China
| | - Nasir Abbas
- Institute of Public Health, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China; Guangdong Provincial Key Laboratory of Biocomputing, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China; Key Laboratory of Regenerative Biology, South China Institute for Stem Cell Biology and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China; University of Chinese Academy of Sciences, Beijing, China
| | - Yanli Liu
- Institute of Public Health, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China; Guangdong Provincial Key Laboratory of Biocomputing, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China; Key Laboratory of Regenerative Biology, South China Institute for Stem Cell Biology and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China; University of Chinese Academy of Sciences, Beijing, China
| | - Yan Chen
- Institute of Public Health, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China; Guangdong Provincial Key Laboratory of Biocomputing, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China; Key Laboratory of Regenerative Biology, South China Institute for Stem Cell Biology and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
| | - Shenglin Tan
- Institute of Public Health, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China; Guangdong Provincial Key Laboratory of Biocomputing, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China; Key Laboratory of Regenerative Biology, South China Institute for Stem Cell Biology and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China; University of Chinese Academy of Sciences, Beijing, China
| | - Kai You
- Institute of Public Health, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China; Guangdong Provincial Key Laboratory of Biocomputing, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China; Key Laboratory of Regenerative Biology, South China Institute for Stem Cell Biology and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
| | - Xinrong Ke
- Institute of Public Health, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China; Guangdong Provincial Key Laboratory of Biocomputing, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China; Key Laboratory of Regenerative Biology, South China Institute for Stem Cell Biology and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China; University of Chinese Academy of Sciences, Beijing, China
| | - Yuanqi Zhuang
- Institute of Public Health, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China; Guangdong Provincial Key Laboratory of Biocomputing, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China; Key Laboratory of Regenerative Biology, South China Institute for Stem Cell Biology and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
| | - Xianhua Lin
- Institute of Public Health, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China; Guangdong Provincial Key Laboratory of Biocomputing, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China; Key Laboratory of Regenerative Biology, South China Institute for Stem Cell Biology and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
| | - Fan Yang
- Institute of Public Health, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China; Guangdong Provincial Key Laboratory of Biocomputing, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China; Key Laboratory of Regenerative Biology, South China Institute for Stem Cell Biology and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
| | - Yin-Xiong Li
- Institute of Public Health, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China; Guangdong Provincial Key Laboratory of Biocomputing, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China; Key Laboratory of Regenerative Biology, South China Institute for Stem Cell Biology and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China; University of Chinese Academy of Sciences, Beijing, China; Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine.
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You K, Su F, Liu L, Lv X, Zhang J, Zhang Y, Liu B. SCARA5 plays a critical role in the progression and metastasis of breast cancer by inactivating the ERK1/2, STAT3, and AKT signaling pathways. Mol Cell Biochem 2017; 435:47-58. [PMID: 28497372 DOI: 10.1007/s11010-017-3055-4] [Citation(s) in RCA: 39] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2016] [Accepted: 05/03/2017] [Indexed: 01/26/2023]
Abstract
Scavenger receptor class A member 5 (SCARA5) is a candidate anti-oncogene in several malignancies. However, whether SCARA5 is a suppressor gene in breast cancer and its role in breast cancer cell growth and metastasis remain to be determined. Here, we investigated the biological functions of SCARA5 in the progression and metastasis of breast cancer and explored the underlying mechanisms. A total of 65 breast cancer patients and three cell lines (ZR-75-30, MCF-7, and MDA-MB-231) were analyzed in the study. RT-qPCR, western blotting, and immunohistochemistry were used to detect mRNA and protein expression, and lymphatic vessel density (LVD) and microvessel density (MVD). MTT, colony formation, TUNEL assays, invasion assays and Transwell assays, and flow cytometric analyses were used to evaluate the effect of SCARA5 on breast cancer cells. SCARA5 was significantly downregulated in breast cancer tissues and cells and significantly correlated with tumor size, histological grade, lymph node metastasis, pTNM stage, VEGF-A, VEGF-C, LVD, and MVD. SCARA5 overexpression significantly suppressed cell proliferation, colony formation, invasion, and migration, and induced G0/G1 arrest and apoptosis of ZR-75-30 cells. SCARA5 decreased the phosphorylation of ERK1/2, AKT, and STAT3, and downregulated downstream signaling effectors, including MMP-2, 3, and 9, VEGF-A, VEGF-C, Bax, Cyclin B1, Cyclin D1, and Cyclin E1, and upregulated E-cadherin, Bcl-2, and caspase 3. SCARA5 is associated with multiple signaling pathways and plays a critical role in the progression and metastasis of breast cancer. The present results provide the first evidence that SCARA5 inhibits lymphangiogenesis by downregulating VEGF-C, thereby inhibiting breast cancer lymphatic metastasis.
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Affiliation(s)
- Kai You
- Department of Anatomy, Harbin Medical University, 157 Baojian Road, Harbin, 150081, People's Republic of China
| | - Fei Su
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150081, People's Republic of China
| | - Lihua Liu
- Department of Anatomy, Harbin Medical University, 157 Baojian Road, Harbin, 150081, People's Republic of China
| | - Xiaohong Lv
- Department of Anatomy, Harbin Medical University, 157 Baojian Road, Harbin, 150081, People's Republic of China
| | - Jianguo Zhang
- Department of General Surgery, The Second Clinical Hospital, Harbin Medical University, Harbin, 150081, People's Republic of China
| | - Yafang Zhang
- Department of Anatomy, Harbin Medical University, 157 Baojian Road, Harbin, 150081, People's Republic of China.
| | - Baoquan Liu
- Department of Anatomy, Harbin Medical University, 157 Baojian Road, Harbin, 150081, People's Republic of China.
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Abbas SK, Yelika SB, You K, Mathai J, Essani R, Krivokapić Z, Bergamaschi R. Rectal cancer should not be resected laparoscopically: the rationale and the data. Tech Coloproctol 2017; 21:237-240. [PMID: 28260160 DOI: 10.1007/s10151-017-1596-x] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/06/2016] [Accepted: 02/04/2017] [Indexed: 12/20/2022]
Affiliation(s)
- S K Abbas
- Division of Colon and Rectal Surgery, State University of New York, HSC T18, Suite 46B, Stony Brook, New York, NY, 11794-8191, USA
| | - S B Yelika
- Division of Colon and Rectal Surgery, State University of New York, HSC T18, Suite 46B, Stony Brook, New York, NY, 11794-8191, USA
| | - K You
- Division of Colon and Rectal Surgery, State University of New York, HSC T18, Suite 46B, Stony Brook, New York, NY, 11794-8191, USA
| | - J Mathai
- Division of Colon and Rectal Surgery, State University of New York, HSC T18, Suite 46B, Stony Brook, New York, NY, 11794-8191, USA
| | - R Essani
- Division of Colon and Rectal Surgery, State University of New York, HSC T18, Suite 46B, Stony Brook, New York, NY, 11794-8191, USA
| | - Z Krivokapić
- First Surgical Clinic, Clinical Center of Serbia, Belgrade, Serbia
| | - R Bergamaschi
- Division of Colon and Rectal Surgery, State University of New York, HSC T18, Suite 46B, Stony Brook, New York, NY, 11794-8191, USA.
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Li Y, Harrington C, Temkin-Greener H, You K, Cai X, Cen X, Mukamel DB. Deficiencies In Care At Nursing Homes And Racial/Ethnic Disparities Across Homes Fell, 2006-11. Health Aff (Millwood) 2016; 34:1139-46. [PMID: 26153308 DOI: 10.1377/hlthaff.2015.0094] [Citation(s) in RCA: 28] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Despite the increased use of nursing homes by minority residents, nursing home care remains highly segregated. Compared to whites, racial/ethnic minorities tend to be cared for in facilities with limited clinical and financial resources, low nurse staffing levels, and a relatively high number of care deficiency citations. We assessed the trends from 2006 to 2011 in those citations and in disparities across facilities with four different concentrations of racial/ethnic minority residents. We found that the number of health care-related deficiencies and the percentage of facilities with serious deficiencies decreased over time for all four facility groups. From 2006 to 2011 the average annual number of health care-related deficiencies declined from 7.4 to 6.8 for facilities with low minority concentrations (<5 percent) and from 10.6 to 9.4 for facilities with high minority concentrations (≥35 percent). In multivariable analyses, across-site disparities in health care-related deficiencies and in life-safety deficiencies narrowed over time. We also found that increasing the Medicaid payment rate might help improve both overall quality and disparities, but state case-mix payment approaches might worsen both. These results suggest the need to reevaluate quality improvement and cost containment efforts to better foster the quality and equity of nursing home care.
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Affiliation(s)
- Yue Li
- Yue Li is an associate professor in the Department of Public Health Sciences at the University of Rochester Medical Center, in New York
| | - Charlene Harrington
- Charlene Harrington is a professor of nursing at the University of California, San Francisco
| | - Helena Temkin-Greener
- Helena Temkin-Greener is a professor in the Department of Public Health Sciences at the University of Rochester Medical Center
| | - Kai You
- Kai You is a PhD candidate in public health sciences at the University of Rochester
| | - Xueya Cai
- Xueya Cai is a research assistant professor of biostatistics and computational biology at the University of Rochester
| | - Xi Cen
- Xi Cen is a PhD candidate in public health sciences at the University of Rochester
| | - Dana B Mukamel
- Dana B. Mukamel is a professor in the Department of Medicine at the University of California, Irvine
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Su F, Li X, You K, Chen M, Xiao J, Zhang Y, Ma J, Liu B. Expression of VEGF-D, SMAD4, and SMAD7 and Their Relationship with Lymphangiogenesis and Prognosis in Colon Cancer. J Gastrointest Surg 2016; 20:2074-2082. [PMID: 27730400 DOI: 10.1007/s11605-016-3294-9] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/12/2016] [Accepted: 09/29/2016] [Indexed: 01/31/2023]
Abstract
AIM The vascular endothelial growth factor (VEGF) and TGF-β1 pathways play important roles in cancer. However, few studies have evaluated the expression and roles of VEGF-D, SMAD4, and SMAD7 in colon cancer, and the conclusions remain controversial. To clarify the roles of VEGF-D, SMAD4, and SMAD7 in colon cancer, we examined their expression and evaluated correlations with lymphangiogenesis, prognosis, and chemotherapeutic outcome. METHODS The expression of VEGF-D, SMAD4, and SMAD7 was immunohistochemically examined in 251 primary colon cancer samples obtained from the Harbin Medical University. RESULTS The expression of VEGF-D, SMAD4, and SMAD7 was identified in 71.7, 41.0, and 69.7 % of samples, respectively. Positive expression of VEGF-D and SMAD7 and lost expression of SMAD4 were significantly correlated with lymph node metastasis and high lymphatic vessel density. VEGF-D and SMAD7 were found to be independent indicators of prognosis and chemotherapy outcome, and positive expression of either VEGF-D or SMAD7 was associated with significantly shorter overall survival and disease-free survival (OS and DFS) than negative expression in all 251 patients (P < 0.001 for OS and DFS) and patients following chemotherapy (P < 0.001 for OS and DFS). CONCLUSION VEGF-D, SMAD4, and SMAD7 were involved in lymphangiogenesis and lymph node metastasis. VEGF-D and SMAD7 can serve as predictors of prognosis and chemotherapeutic outcome in colon cancer.
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Affiliation(s)
- Fei Su
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150081, People's Republic of China
| | - Xuemei Li
- Department of Anatomy, Harbin Medical University, 57 Baojian Road, Harbin, 150081, People's Republic of China
| | - Kai You
- Department of Anatomy, Harbin Medical University, 57 Baojian Road, Harbin, 150081, People's Republic of China
| | - Mingwei Chen
- Department of Anatomy, Harbin Medical University, 57 Baojian Road, Harbin, 150081, People's Republic of China
| | - Jianbing Xiao
- Department of Anatomy, Harbin Medical University, 57 Baojian Road, Harbin, 150081, People's Republic of China
| | - Yafang Zhang
- Department of Anatomy, Harbin Medical University, 57 Baojian Road, Harbin, 150081, People's Republic of China
| | - Jing Ma
- Department of Anatomy, Harbin Medical University, 57 Baojian Road, Harbin, 150081, People's Republic of China
| | - Baoquan Liu
- Department of Anatomy, Harbin Medical University, 57 Baojian Road, Harbin, 150081, People's Republic of China.
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Affiliation(s)
- Kai You
- PhD Student, Department of Economics, University at Albany, State University of New York, Albany, New York, USA
| | - Robert L. Strawderman
- Professor and Chair, Department of Biostatistics and Computational Biology, University of Rochester Medical Center, Rochester, New York, USA
| | - Yue Li
- Associate Professor, Department of Public Health Sciences, Division of Health Policy and Outcomes Research, University of Rochester Medical Center, Rochester, New York, USA
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Xu S, Xue X, You K, Fu J. Caveolin-1 regulates the expression of tight junction proteins during hyperoxia-induced pulmonary epithelial barrier breakdown. Respir Res 2016; 17:50. [PMID: 27176222 PMCID: PMC4866358 DOI: 10.1186/s12931-016-0364-1] [Citation(s) in RCA: 33] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2015] [Accepted: 04/25/2016] [Indexed: 12/29/2022] Open
Abstract
BACKGROUND Bronchopulmonary dysplasia (BPD) is a common complication in preterm infants that involves the downregulation of tight junction (TJ) proteins. However, the mechanism underlying downregulation of the expression of TJ proteins during at the early stages of hyperoxia-induced BPD remains to be understood. Here, we aimed to identify the role of caveolin-1 (Cav-1) in hyperoxia-induced pulmonary epithelial barrier breakdown. METHODS First, we established an in vitro pulmonary epithelial barrier models using primary type II alveolar epithelial cells (AEC-II) from newborn rats. AEC-II was assigned to the hyperoxic (85 % O2/5 % CO2) or normoxic (21 % O2/5 % CO2) groups. Second, AEC-II was transfected with Cav-1-siRNA to downregulate Cav-1 under normoxic exposure. Third, AEC-II was transfected with a cDNA encoding Cav-1 to upregulate Cav-1 expression under hyperoxic exposure. Then, expression levels of Cav-1 and TJ proteins were examined by immunofluorescence staining, reverse transcription-polymerase chain reaction, and Western blotting. The TJ structures visualized using a transmission electron microscope, and transepithelial resistance and apparent permeability coefficient of fluorescein isothiocyanate-dextran, which are indicators of barrier function, were measured. RESULTS Our data showed that exposure to hyperoxia disrupted the structure and function of the pulmonary epithelial barrier and decreased the ZO-1, occludin, claudin-4, and Cav-1 expression levels. Moreover, Cav-1 knockdown attenuated the expression of the other three genes and disrupted pulmonary epithelial barrier structure and function under normoxic exposure. However, Cav-1 upregulation markedly antagonized the hyperoxia-induced pulmonary epithelial barrier destruction and TJ protein loss. CONCLUSIONS This is the first study to present evidence illustrating the novel role of Cav-1 downregulation-mediated TJ protein loss in pulmonary epithelial barrier destruction during BPD.
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Affiliation(s)
- Shuyan Xu
- Department of Pediatrics, Shengjing Hospital of China Medical University, Shenyang, 110004, Liaoning, China
| | - Xindong Xue
- Department of Pediatrics, Shengjing Hospital of China Medical University, Shenyang, 110004, Liaoning, China
| | - Kai You
- Department of Pediatrics, Shengjing Hospital of China Medical University, Shenyang, 110004, Liaoning, China
| | - Jianhua Fu
- Department of Pediatrics, Shengjing Hospital of China Medical University, Shenyang, 110004, Liaoning, China.
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Piao J, You K, Guo Y, Zhang Y, Li Z, Geng L. HPV16 E6 mutations and p53 codon72 polymorphism among women with cervical intraepithelial neoplasia 2 and 3 in China. EUR J GYNAECOL ONCOL 2016; 37:649-652. [PMID: 29787003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/08/2023]
Abstract
OBJECTIVE To study the distribution of HPV16 E6 gene mutations and p53 codon72 polymorphism among women with HPV16+ cervical precancerous lesions and explore their relationship with the risk of cervical intraepithelial neoplasia (CIN) 2, 3. Materials and Meth- ods: This study analyzed a total of 112 cases of exfoliated HPV16+ cervical cell specimens which were divided into group I (normal and CIN1, 55 cases) and group2 (CIN2, 3, 57 cases). Among the 112 specimens, 85 cases were successfully amplified for HPV E6 gene by PCR and the PCR products were sequenced directly. P53 codon72 region was also amplified from the 112 specimens and the PCR products were sequenced directly and compared with the standard sequence. RESULTS Among the 85 amplified HPV sequences, point mutations such as T178G, T350G, G132A, A442C, T310G, G94T, C551A, etc. were found, among which, T178G showed the highest rate (51.76%). The rate of HPV16 E6 mutation T178G in CIN2, 3 group was significantly higher than that in normal and CINI group, i.e., in the 112 amplified p53 codon72 sequences, the distribution of Pro/Pro genotype in normal, and CIN1 group was significantly different from that in CIN2, 3 groups, and the disease risk of Pro/Pro genotype was much higher than that of Arg/Arg and Arg/Pro genotypes. CONCLUSION HPV16 E6 T178G mutation increases the disease risk of CIN2, 3. Meanwhile, compared with Arg/Arg and Arg/Pro genotypes, p53 codon72 Pro/Pro genotype more associated with the disease risk of CIN2, 3.
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You K, Huang Y, Zhang MC, Hao J. Control and prevention of myocardial fibrosis using Pyk2-related non-kinase. Int J Clin Exp Med 2015; 8:18284-18292. [PMID: 26770430 PMCID: PMC4694330] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2015] [Accepted: 09/03/2015] [Indexed: 06/05/2023]
Abstract
OBJECTIVE To investigate the antifibrotic effect of Pyk2-related non-kinase (PRNK) and explore the possibility of using adenovirus carrying PRNK gene for targeted inhibition of Pyk2 to treat myocardial fibrosis. METHOD Adenovirus carrying PRNK gene was constructed and the angiotention II (Ang II)-induced rat cardiac fibroblasts (CFs) were transfected with the adenovirus. The expressions of PRNK and phosphorylated Pyk2 proteins in CFs were detected. After the preparation of rat model of abdominal aortic stenosis, the rats were infected by the adenovirus expressing PRNK gene. Four groups were set up: sham operation group, PRNK group, drug intervention group and operation group. Myocardial collagen volume fraction (CVF) and perivascular collagen area (PVCA) were measured through Van Gieson (VG) staining, and the content of blue-stained collagen was analyzed by Masson's trichrome staining. TUNEL method was used to detect myocardial cell apoptosis, and secretions of type I and IV collagen in myocardial tissues were detected by ELISA; expressions of PRNK and phosphorylated Pyk2 proteins were detected by Western Blot. RESULTS Adenoviral vector carrying PRNK gene was successfully constructed; rat CFs were effectively transfected by the adenovirus that expressed PRNK gene stably. The adenoviruses were injected into rats with myocardial interstitial fibrosis via the tail vein. CVF, PVCA and grayscale of blue-stained collagen in the treatment groups were significantly lower than those in the control group, while the apoptosis rate of CFs in the former was significantly higher than that in the latter. In the transfection group, PRNK protein was upregulated in CFs, and the phosphorylated Pyk2 protein was downregulated. PPARγ agonist rosiglitazone (RSG) was injected as a comparison. The secretions of type I and IV collagen in myocardial tissues and serum did not show significant differences, and they were all much lower than those of the control. CONCLUSION Adenoviral vector provides an effective means for the transfer of genes in researches on the mechanism and prevention and control of myocardial fibrosis. Targeted inhibition of Pyk2 using PRNK is a new pathway to achieve an antifibrotic action. Highly expressed in CFs, PRNK inhibits myocardial fibrosis by inhibiting the phosphorylation of Pyk2 through competitive binding. We preliminarily demonstrate the feasibility of using adenoviral vector carrying PRNK gene for targeted inhibition of Pyk2 to treat myocardial fibrosis.
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Affiliation(s)
- Kai You
- Department of Cardiovascular Surgery, No.324 Military Hospital of PLAChongqing 400020, China
- Military Institute of Cardiovascular Surgery, The Second Affiliated Hospital of Third Military Medical UniversityChongqing 400037, China
| | - Yi Huang
- Department of Cardiovascular Surgery, No.324 Military Hospital of PLAChongqing 400020, China
| | - Ming-Can Zhang
- Department of Cardiovascular Surgery, No.324 Military Hospital of PLAChongqing 400020, China
| | - Jia Hao
- Military Institute of Cardiovascular Surgery, The Second Affiliated Hospital of Third Military Medical UniversityChongqing 400037, China
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Mayer J, Tacher V, Novelli L, Djabbari M, You K, Chiaradia M, Deux JF, Kobeiter H. Post-procedure bleeding in interventional radiology. Diagn Interv Imaging 2015; 96:833-40. [DOI: 10.1016/j.diii.2015.06.009] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2015] [Accepted: 06/10/2015] [Indexed: 10/23/2022]
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Chiaradia M, Novelli L, Deux JF, Tacher V, Mayer J, You K, Djabbari M, Luciani A, Rahmouni A, Kobeiter H. Ruptured visceral artery aneurysms. Diagn Interv Imaging 2015; 96:797-806. [DOI: 10.1016/j.diii.2015.03.012] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2015] [Accepted: 03/30/2015] [Indexed: 10/23/2022]
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Iordache F, Bucobo JC, Devlin D, You K, Bergamaschi R. Simulated training in colonoscopic stenting of colonic strictures: validation of a cadaver model. Colorectal Dis 2015; 17:627-34. [PMID: 25545053 DOI: 10.1111/codi.12887] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/08/2014] [Accepted: 10/22/2014] [Indexed: 02/08/2023]
Abstract
AIM There are currently no available simulation models for training in colonoscopic stent deployment. The aim of this study was to validate a cadaver model for simulation training in colonoscopy with stent deployment for colonic strictures. METHOD This was a prospective study enrolling surgeons at a single institution. Participants performed colonoscopic stenting on a cadaver model. Their performance was assessed by two independent observers. Measurements were performed for quantitative analysis (time to identify stenosis, time for deployment, accuracy) and a weighted score was devised for assessment. The Mann-Whitney U-test and Student's t-test were used for nonparametric and parametric data, respectively. Cohen's kappa coefficient was used for reliability. RESULTS Twenty participants performed a colonoscopy with deployment of a self-expandable metallic stent in two cadavers (groups A and B) with 20 strictures overall. The median time was 206 s. The model was able to differentiate between experts and novices (P = 0. 013). The results showed a good consensus estimate of reliability, with kappa = 0.571 (P < 0.0001). CONCLUSION The cadaver model described in this study has content, construct and concurrent validity for simulation training in colonoscopic deployment of self-expandable stents for colonic strictures. Further studies are needed to evaluate the predictive validity of this model in terms of skill transfer to clinical practice.
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Affiliation(s)
- F Iordache
- Division of Colon and Rectal Surgery, State University of New York, Stony Brook, New York, USA
| | - J C Bucobo
- Division Gastroenterology, State University of New York, Stony Brook, New York, USA
| | - D Devlin
- Division of Colon and Rectal Surgery, State University of New York, Stony Brook, New York, USA
| | - K You
- Division of Colon and Rectal Surgery, State University of New York, Stony Brook, New York, USA
| | - R Bergamaschi
- Division of Colon and Rectal Surgery, State University of New York, Stony Brook, New York, USA
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