1
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Wu B, Shentu X, Nan H, Guo P, Hao S, Xu J, Shangguan S, Cui L, Cen J, Deng Q, Wu Y, Liu C, Song Y, Lin X, Wang Z, Yuan Y, Ma W, Li R, Li Y, Qian Q, Du W, Lai T, Yang T, Liu C, Ma X, Chen A, Xu X, Lai Y, Liu L, Esteban MA, Hui L. A spatiotemporal atlas of cholestatic injury and repair in mice. Nat Genet 2024; 56:938-952. [PMID: 38627596 DOI: 10.1038/s41588-024-01687-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2023] [Accepted: 02/09/2024] [Indexed: 05/09/2024]
Abstract
Cholestatic liver injuries, characterized by regional damage around the bile ductular region, lack curative therapies and cause considerable mortality. Here we generated a high-definition spatiotemporal atlas of gene expression during cholestatic injury and repair in mice by integrating spatial enhanced resolution omics sequencing and single-cell transcriptomics. Spatiotemporal analyses revealed a key role of cholangiocyte-driven signaling correlating with the periportal damage-repair response. Cholangiocytes express genes related to recruitment and differentiation of lipid-associated macrophages, which generate feedback signals enhancing ductular reaction. Moreover, cholangiocytes express high TGFβ in association with the conversion of liver progenitor-like cells into cholangiocytes during injury and the dampened proliferation of periportal hepatocytes during recovery. Notably, Atoh8 restricts hepatocyte proliferation during 3,5-diethoxycarbonyl-1,4-dihydro-collidin damage and is quickly downregulated after injury withdrawal, allowing hepatocytes to respond to growth signals. Our findings lay a keystone for in-depth studies of cellular dynamics and molecular mechanisms of cholestatic injuries, which may further develop into therapies for cholangiopathies.
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Affiliation(s)
- Baihua Wu
- State Key Laboratory of Cell Biology, CAS Center for Excellence in Molecular Cell Science, Shanghai Institute of Biochemistry and Cell Biology, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Xinyi Shentu
- School of Life Science and Technology, ShanghaiTech University, Shanghai, China
| | - Haitao Nan
- State Key Laboratory of Cell Biology, CAS Center for Excellence in Molecular Cell Science, Shanghai Institute of Biochemistry and Cell Biology, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China
| | | | - Shijie Hao
- BGI Research, Hangzhou, China
- BGI Research, Shenzhen, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, China
| | - Jiangshan Xu
- BGI Research, Hangzhou, China
- BGI Research, Shenzhen, China
| | - Shuncheng Shangguan
- Joint School of Life Sciences, Guangzhou Institutes of Biomedicine and Health and Guangzhou Medical University, Guangzhou, China
- Laboratory of Integrative Biology, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
- BGI Research, Shenzhen, China
| | - Lei Cui
- State Key Laboratory of Cell Biology, CAS Center for Excellence in Molecular Cell Science, Shanghai Institute of Biochemistry and Cell Biology, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Jin Cen
- State Key Laboratory of Cell Biology, CAS Center for Excellence in Molecular Cell Science, Shanghai Institute of Biochemistry and Cell Biology, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Qiuting Deng
- BGI Research, Hangzhou, China
- BGI Research, Shenzhen, China
| | - Yan Wu
- BGI Research, Hangzhou, China
- BGI Research, Shenzhen, China
| | - Chang Liu
- BGI Research, Hangzhou, China
- BGI Research, Shenzhen, China
| | - Yumo Song
- BGI Research, Hangzhou, China
- BGI Research, Shenzhen, China
| | - Xiumei Lin
- BGI Research, Hangzhou, China
- BGI Research, Shenzhen, China
| | | | - Yue Yuan
- BGI Research, Hangzhou, China
- BGI Research, Shenzhen, China
| | - Wen Ma
- BGI Research, Hangzhou, China
- BGI Research, Shenzhen, China
| | - Ronghai Li
- BGI Research, Hangzhou, China
- BGI Research, Shenzhen, China
| | - Yikang Li
- Division of Gastroenterology and Hepatology, Key Laboratory of Gastroenterology and Hepatology, Ministry of Health, State Key Laboratory for Oncogenes and Related Genes, NHC Key Laboratory of Digestive Diseases, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai Institute of Digestive Disease, Shanghai, China
| | - Qiwei Qian
- Division of Gastroenterology and Hepatology, Key Laboratory of Gastroenterology and Hepatology, Ministry of Health, State Key Laboratory for Oncogenes and Related Genes, NHC Key Laboratory of Digestive Diseases, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai Institute of Digestive Disease, Shanghai, China
| | - Wensi Du
- China National GeneBank, BGI Research, Shenzhen, China
| | - Tingting Lai
- China National GeneBank, BGI Research, Shenzhen, China
| | - Tao Yang
- China National GeneBank, BGI Research, Shenzhen, China
| | - Chuanyu Liu
- BGI Research, Hangzhou, China
- BGI Research, Shenzhen, China
- Shanxi Medical University-BGI Collaborative Center for Future Medicine, Shanxi Medical University, Taiyuan, China
| | - Xiong Ma
- Division of Gastroenterology and Hepatology, Key Laboratory of Gastroenterology and Hepatology, Ministry of Health, State Key Laboratory for Oncogenes and Related Genes, NHC Key Laboratory of Digestive Diseases, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai Institute of Digestive Disease, Shanghai, China
| | - Ao Chen
- BGI Research, Shenzhen, China
| | - Xun Xu
- BGI Research, Shenzhen, China
- Shanxi Medical University-BGI Collaborative Center for Future Medicine, Shanxi Medical University, Taiyuan, China
| | - Yiwei Lai
- BGI Research, Hangzhou, China.
- BGI Research, Shenzhen, China.
- Shanxi Medical University-BGI Collaborative Center for Future Medicine, Shanxi Medical University, Taiyuan, China.
| | - Longqi Liu
- BGI Research, Hangzhou, China.
- BGI Research, Shenzhen, China.
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, China.
- China National GeneBank, BGI Research, Shenzhen, China.
- Shanxi Medical University-BGI Collaborative Center for Future Medicine, Shanxi Medical University, Taiyuan, China.
| | - Miguel A Esteban
- BGI Research, Hangzhou, China.
- BGI Research, Shenzhen, China.
- Laboratory of Integrative Biology, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China.
- The Fifth Affiliated Hospital of Guangzhou Medical University-BGI Research Center for Integrative Biology, The Fifth Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
| | - Lijian Hui
- State Key Laboratory of Cell Biology, CAS Center for Excellence in Molecular Cell Science, Shanghai Institute of Biochemistry and Cell Biology, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China.
- School of Life Science and Technology, ShanghaiTech University, Shanghai, China.
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2
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Wang S, Wang X, Shan Y, Tan Z, Su Y, Cao Y, Wang S, Dong J, Gu J, Wang Y. Region-specific cellular and molecular basis of liver regeneration after acute pericentral injury. Cell Stem Cell 2024; 31:341-358.e7. [PMID: 38402618 DOI: 10.1016/j.stem.2024.01.013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2022] [Revised: 12/08/2023] [Accepted: 01/30/2024] [Indexed: 02/27/2024]
Abstract
Liver injuries often occur in a zonated manner. However, detailed regenerative responses to such zonal injuries at cellular and molecular levels remain largely elusive. By using a fate-mapping strain, Cyp2e1-DreER, to elucidate liver regeneration after acute pericentral injury, we found that pericentral regeneration is primarily compensated by the expansion of remaining pericentral hepatocytes, and secondarily by expansion of periportal hepatocytes. Employing single-cell RNA sequencing, spatial transcriptomics, immunostaining, and in vivo functional assays, we demonstrated that the upregulated expression of the mTOR/4E-BP1 axis and lactate dehydrogenase A in hepatocytes contributes to pericentral regeneration, while activation of transforming growth factor β (TGF-β1) signaling in the damaged area mediates fibrotic responses and inhibits hepatocyte proliferation. Inhibiting the pericentral accumulation of monocytes and monocyte-derived macrophages through an Arg-Gly-Asp (RGD) peptide-based strategy attenuates these cell-derived TGF-β1 signalings, thus improving pericentral regeneration. Our study provides integrated and high-resolution spatiotemporal insights into the cellular and molecular basis of pericentral regeneration.
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Affiliation(s)
- Shuyong Wang
- Hepatopancreatobiliary Center, Clinical Translational Science Center, Beijing Tsinghua Changgung Hospital, Beijing 102218, China; Beijing Key Laboratory of New Techniques of Tuberculosis Diagnosis and Treatment, Senior Department of Tuberculosis, the Eighth Medical Center of PLA General Hospital, Beijing 100091, China
| | - Xuan Wang
- Hepatopancreatobiliary Center, Clinical Translational Science Center, Beijing Tsinghua Changgung Hospital, Beijing 102218, China
| | - Yiran Shan
- MOE Key Laboratory of Bioinformatics, BNRIST Bioinformatics Division, Department of Automation, Tsinghua University, Beijing 100084, China
| | - Zuolong Tan
- Department of Stem Cell and Regenerative Medicine, Beijing Institute of Health Service and Transfusion Medicine, Beijing 100850, China
| | - Yuxin Su
- Hepatopancreatobiliary Center, Clinical Translational Science Center, Beijing Tsinghua Changgung Hospital, Beijing 102218, China
| | - Yannan Cao
- Hepatopancreatobiliary Center, Clinical Translational Science Center, Beijing Tsinghua Changgung Hospital, Beijing 102218, China
| | - Shuang Wang
- Hepatopancreatobiliary Center, Clinical Translational Science Center, Beijing Tsinghua Changgung Hospital, Beijing 102218, China
| | - Jiahong Dong
- Hepatopancreatobiliary Center, Clinical Translational Science Center, Beijing Tsinghua Changgung Hospital, Beijing 102218, China; School of Clinical Medicine, Tsinghua University, Beijing 100084, China
| | - Jin Gu
- MOE Key Laboratory of Bioinformatics, BNRIST Bioinformatics Division, Department of Automation, Tsinghua University, Beijing 100084, China.
| | - Yunfang Wang
- Hepatopancreatobiliary Center, Clinical Translational Science Center, Beijing Tsinghua Changgung Hospital, Beijing 102218, China; School of Clinical Medicine, Tsinghua University, Beijing 100084, China.
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3
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Kaffe E, Roulis M, Zhao J, Qu R, Sefik E, Mirza H, Zhou J, Zheng Y, Charkoftaki G, Vasiliou V, Vatner DF, Mehal WZ, Yuval Kluger, Flavell RA. Humanized mouse liver reveals endothelial control of essential hepatic metabolic functions. Cell 2023; 186:3793-3809.e26. [PMID: 37562401 PMCID: PMC10544749 DOI: 10.1016/j.cell.2023.07.017] [Citation(s) in RCA: 15] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2023] [Revised: 04/24/2023] [Accepted: 07/12/2023] [Indexed: 08/12/2023]
Abstract
Hepatocytes, the major metabolic hub of the body, execute functions that are human-specific, altered in human disease, and currently thought to be regulated through endocrine and cell-autonomous mechanisms. Here, we show that key metabolic functions of human hepatocytes are controlled by non-parenchymal cells (NPCs) in their microenvironment. We developed mice bearing human hepatic tissue composed of human hepatocytes and NPCs, including human immune, endothelial, and stellate cells. Humanized livers reproduce human liver architecture, perform vital human-specific metabolic/homeostatic processes, and model human pathologies, including fibrosis and non-alcoholic fatty liver disease (NAFLD). Leveraging species mismatch and lipidomics, we demonstrate that human NPCs control metabolic functions of human hepatocytes in a paracrine manner. Mechanistically, we uncover a species-specific interaction whereby WNT2 secreted by sinusoidal endothelial cells controls cholesterol uptake and bile acid conjugation in hepatocytes through receptor FZD5. These results reveal the essential microenvironmental regulation of hepatic metabolism and its human-specific aspects.
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Affiliation(s)
- Eleanna Kaffe
- Department of Immunobiology, Yale School of Medicine, New Haven, CT 06520, USA
| | - Manolis Roulis
- Department of Immunobiology, Yale School of Medicine, New Haven, CT 06520, USA
| | - Jun Zhao
- Department of Immunobiology, Yale School of Medicine, New Haven, CT 06520, USA; Department of Pathology, Yale School of Medicine, New Haven, CT 06520, USA; Computational Biology and Bioinformatics Program, Yale University, New Haven, CT 06511, USA
| | - Rihao Qu
- Department of Immunobiology, Yale School of Medicine, New Haven, CT 06520, USA; Department of Pathology, Yale School of Medicine, New Haven, CT 06520, USA; Computational Biology and Bioinformatics Program, Yale University, New Haven, CT 06511, USA
| | - Esen Sefik
- Department of Immunobiology, Yale School of Medicine, New Haven, CT 06520, USA
| | - Haris Mirza
- Department of Immunobiology, Yale School of Medicine, New Haven, CT 06520, USA; Department of Pathology, Yale School of Medicine, New Haven, CT 06520, USA
| | - Jing Zhou
- Department of Immunobiology, Yale School of Medicine, New Haven, CT 06520, USA
| | - Yunjiang Zheng
- Department of Immunobiology, Yale School of Medicine, New Haven, CT 06520, USA
| | - Georgia Charkoftaki
- Department of Environmental Health Sciences, Yale School of Public Health, Yale University, New Haven, CT 06520, USA
| | - Vasilis Vasiliou
- Department of Environmental Health Sciences, Yale School of Public Health, Yale University, New Haven, CT 06520, USA
| | - Daniel F Vatner
- Department of Internal Medicine, Section of Endocrinology, Yale School of Medicine, New Haven, CT 06520, USA
| | - Wajahat Z Mehal
- Department of Internal Medicine, Section of Digestive Diseases, Yale University, New Haven, CT 06520, USA; Veterans Affairs Medical Center, West Haven, CT 06516, USA
| | - Yuval Kluger
- Department of Pathology, Yale School of Medicine, New Haven, CT 06520, USA; Computational Biology and Bioinformatics Program, Yale University, New Haven, CT 06511, USA; Program of Applied Mathematics, Yale University, New Haven, CT 06511, USA
| | - Richard A Flavell
- Department of Immunobiology, Yale School of Medicine, New Haven, CT 06520, USA; Howard Hughes Medical Institute, Yale School of Medicine, New Haven, CT 06519, USA.
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4
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Liu X, Weng W, He L, Zhou B. Genetic recording of in vivo cell proliferation by ProTracer. Nat Protoc 2023:10.1038/s41596-023-00833-8. [PMID: 37268780 DOI: 10.1038/s41596-023-00833-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2022] [Accepted: 03/17/2023] [Indexed: 06/04/2023]
Abstract
The ability to experimentally measure cell proliferation is the basis for understanding the sources of cells that drive organ development, tissue regeneration and repair. Recently, we generated a genetic approach to detect cell proliferation: we used genetic lineage-tracing technologies to achieve seamless recording of in vivo cell proliferation in a tissue-specific manner. We provide a detailed protocol (generation of mouse lines, characterization of mouse lines, mouse line crossing and cell-proliferation tracing) for using this genetic system to study cell proliferation. This cell-proliferation tracing system, which we term 'ProTracer' (Proliferation Tracer), permits lifelong noninvasive monitoring of cell proliferation of specific cell lineages in live animals. Compared with other short-term strategies that require execution of animals, ProTracer does not require sampling or animal sacrifice for tissue processing. To highlight these features, we used ProTracer to study the proliferation of hepatocytes during liver homeostasis and after tissue injury in mice. We show that the protocol is applicable to study any in vivo cell proliferation, which takes ~9 months to finish from mouse generation to data analysis. This protocol can easily be carried out by researchers skilled in mouse-related experiments.
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Affiliation(s)
- Xiuxiu Liu
- State Key Laboratory of Cell Biology, Shanghai Institute of Biochemistry and Cell Biology, Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, University of Chinese Academy of Sciences, Shanghai, China
| | - Wendong Weng
- State Key Laboratory of Cell Biology, Shanghai Institute of Biochemistry and Cell Biology, Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, University of Chinese Academy of Sciences, Shanghai, China
| | - Lingjuan He
- School of Life Sciences, Westlake University, Hangzhou, China.
| | - Bin Zhou
- State Key Laboratory of Cell Biology, Shanghai Institute of Biochemistry and Cell Biology, Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, University of Chinese Academy of Sciences, Shanghai, China.
- School of Life Science and Technology, ShanghaiTech University, Shanghai, China.
- Key Laboratory of Systems Health Science of Zhejiang Province, School of Life Science, Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Hangzhou, China.
- New Cornerstone Science Laboratory, Shenzhen, China.
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5
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Devan AR, Nair B, Aryan MK, Liju VB, Koshy JJ, Mathew B, Valsan A, Kim H, Nath LR. Decoding Immune Signature to Detect the Risk for Early-Stage HCC Recurrence. Cancers (Basel) 2023; 15:2729. [PMID: 37345066 DOI: 10.3390/cancers15102729] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2023] [Revised: 05/02/2023] [Accepted: 05/09/2023] [Indexed: 06/23/2023] Open
Abstract
Hepatocellular carcinoma (HCC) is often recognized as an inflammation-linked cancer, which possesses an immunosuppressive tumor microenvironment. Curative treatments such as surgical resection, liver transplantation, and percutaneous ablation are mainly applicable in the early stage and demonstrate significant improvement of survival rate in most patients. However, 70-80% of patients report HCC recurrence within 5 years of curative treatment, representing an important clinical issue. However, there is no effective recurrence marker after surgical and locoregional therapies, thus, tumor size, number, and histological features such as cancer cell differentiation are often considered as risk factors for HCC recurrence. Host immunity plays a critical role in regulating carcinogenesis, and the immune microenvironment characterized by its composition, functional status, and density undergoes significant alterations in each stage of cancer progression. Recent studies reported that analysis of immune contexture could yield valuable information regarding the treatment response, prognosis and recurrence. This review emphasizes the prognostic value of tumors associated with immune factors in HCC recurrence after curative treatment. In particular, we review the immune landscape and immunological factors contributing to early-stage HCC recurrence, and discuss the immunotherapeutic interventions to prevent tumor recurrence following curative treatments.
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Affiliation(s)
- Aswathy R Devan
- Department of Pharmacognosy, Amrita School of Pharmacy, Amrita Vishwa Vidyapeetham, AIMS Health Science Campus, Kochi 682041, Kerala, India
| | - Bhagyalakshmi Nair
- Department of Pharmacognosy, Amrita School of Pharmacy, Amrita Vishwa Vidyapeetham, AIMS Health Science Campus, Kochi 682041, Kerala, India
| | | | - Vijayastelar B Liju
- The Shraga Segal Department of Microbiology-Immunology and Genetics, Faculty of Health Sciences, Ben Gurion University of the Negev, Beer Sheva 84105, Israel
| | - Joel Joy Koshy
- Department of Pharmacognosy, Amrita School of Pharmacy, Amrita Vishwa Vidyapeetham, AIMS Health Science Campus, Kochi 682041, Kerala, India
| | - Bijo Mathew
- Department of Pharmaceutical Chemistry, Amrita School of Pharmacy, Amrita Vishwa Vidyapeetham, AIMS Health Science Campus, Kochi 682041, Kerala, India
| | - Arun Valsan
- Department of Gastroenterology and Epatology, Amrita Institute of Medical Science, Kochi 682041, Kerala, India
| | - Hoon Kim
- Department of Pharmacy, and Research Institute of Life Pharmaceutical Sciences, Sunchon National University, Suncheon 57922, Republic of Korea
| | - Lekshmi R Nath
- Department of Pharmacognosy, Amrita School of Pharmacy, Amrita Vishwa Vidyapeetham, AIMS Health Science Campus, Kochi 682041, Kerala, India
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6
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YAP regulates the liver size during the fasting-refeeding transition in mice. Acta Pharm Sin B 2022; 13:1588-1599. [PMID: 37139422 PMCID: PMC10149903 DOI: 10.1016/j.apsb.2022.12.011] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2022] [Revised: 11/11/2022] [Accepted: 11/18/2022] [Indexed: 03/09/2023] Open
Abstract
Liver is the central hub regulating energy metabolism during feeding-fasting transition. Evidence suggests that fasting and refeeding induce dynamic changes in liver size, but the underlying mechanisms remain unclear. Yes-associated protein (YAP) is a key regulator of organ size. This study aims to explore the role of YAP in fasting- and refeeding-induced changes in liver size. Here, fasting significantly reduced liver size, which was recovered to the normal level after refeeding. Moreover, hepatocyte size was decreased and hepatocyte proliferation was inhibited after fasting. Conversely, refeeding promoted hepatocyte enlargement and proliferation compared to fasted state. Mechanistically, fasting or refeeding regulated the expression of YAP and its downstream targets, as well as the proliferation-related protein cyclin D1 (CCND1). Furthermore, fasting significantly reduced the liver size in AAV-control mice, which was mitigated in AAV Yap (5SA) mice. Yap overexpression also prevented the effect of fasting on hepatocyte size and proliferation. Besides, the recovery of liver size after refeeding was delayed in AAV Yap shRNA mice. Yap knockdown attenuated refeeding-induced hepatocyte enlargement and proliferation. In summary, this study demonstrated that YAP plays an important role in dynamic changes of liver size during fasting-refeeding transition, which provides new evidence for YAP in regulating liver size under energy stress.
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7
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Huang R, Zhang X, Gracia-Sancho J, Xie WF. Liver regeneration: Cellular origin and molecular mechanisms. Liver Int 2022; 42:1486-1495. [PMID: 35107210 DOI: 10.1111/liv.15174] [Citation(s) in RCA: 18] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/02/2021] [Revised: 12/16/2021] [Accepted: 01/12/2022] [Indexed: 01/11/2023]
Abstract
The liver is known as an organ with high proliferation potential. Clarifying the cellular origin and deepening the understanding of liver regeneration mechanisms will help provide new directions for the treatment of liver disease. With the development and application of lineage tracing technology, the specific distribution and dynamic changes of hepatocyte subpopulations in homeostasis and liver injury have been illustrated. Self-replication of hepatocytes is responsible for the maintenance of liver function and mass under homeostasis. The compensatory proliferation of remaining hepatocytes is the main mechanism of liver regeneration following acute and chronic liver injury. Transdifferentiation between hepatocytes and cholangiocytes has been recognized upon severe chronic liver injury. Wnt/β-catenin, Hippo/YAP and Notch signalling play essential roles in the maintenance of homeostatic liver and hepatocyte-to-cholangiocyte conversion under liver injury. In this review, we summarized the recent studies on cell origin of newly generated hepatocytes and the underlying mechanisms of liver regeneration in homeostasis and liver injury.
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Affiliation(s)
- Ru Huang
- Department of Gastroenterology, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, China
| | - Xin Zhang
- Department of Gastroenterology, Changzheng Hospital, Naval Medical University, Shanghai, China
| | - Jordi Gracia-Sancho
- Liver Vascular Biology Research Group, Barcelona Hepatic Hemodynamic Unit, IDIBAPS, CIBEREHD, Barcelona, Spain
| | - Wei-Fen Xie
- Department of Gastroenterology, Changzheng Hospital, Naval Medical University, Shanghai, China
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8
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Lee JC, Green MD, Huppert LA, Chow C, Pierce RH, Daud AI. The Liver-Immunity Nexus and Cancer Immunotherapy. Clin Cancer Res 2022; 28:5-12. [PMID: 34285059 PMCID: PMC8897983 DOI: 10.1158/1078-0432.ccr-21-1193] [Citation(s) in RCA: 38] [Impact Index Per Article: 19.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2021] [Revised: 05/24/2021] [Accepted: 07/16/2021] [Indexed: 01/03/2023]
Abstract
The impact of liver metastases on immune checkpoint-inhibitor effectiveness in patients with solid-tumor malignancies has been the focus of several recent clinical and translational studies. We review the literature describing the immune functions of the liver and particularly the mechanistic observations in these studies. The initial clinical observation was that pembrolizumab appeared to be much less effective in melanoma and non-small cell lung cancer (NSCLC) patients with liver metastasis. Subsequently other clinical studies have extended and reported similar findings with programmed death-1 (PD-1) and programmed death ligand-1 (PD-L1) inhibitors in many cancers. Two recent translational studies in animal models have dissected the mechanism of this systemic immune suppression. In both studies CD11b+ suppressive macrophages generated by liver metastasis in a two-site MC38 model appear to delete CD8+ T cells in a FasL-dependent manner. In addition, regulatory T-cell (Treg) activation was observed and contributed to the distal immunosuppression. Finally, we discuss some of the interventions reported to address liver immune suppression, such as radiation therapy, combination checkpoint blockade, and Treg depletion.
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Affiliation(s)
- James C. Lee
- Divisions of Hematology and Medical Oncology, Department of
Medicine, University of California San Francisco, San Francisco, California.,Parker Institute for Cancer Immunotherapy, San Francisco,
California
| | - Michael D. Green
- Department of Radiation Oncology, Michigan Medicine,
University of Michigan, Ann Arbor, Michigan.,Veterans Affairs Ann Arbor Healthcare System, U.S.
Department of Veterans Affairs, Ann Arbor, Michigan
| | - Laura A. Huppert
- Divisions of Hematology and Medical Oncology, Department of
Medicine, University of California San Francisco, San Francisco, California
| | - Christine Chow
- Divisions of Hematology and Medical Oncology, Department of
Medicine, University of California San Francisco, San Francisco, California
| | | | - Adil I. Daud
- Divisions of Hematology and Medical Oncology, Department of
Medicine, University of California San Francisco, San Francisco, California.,Parker Institute for Cancer Immunotherapy, San Francisco,
California
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9
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Li T, Shi C, Jin F, Yang F, Gu L, Wang T, Dong W, Feng ZQ. Cell activity modulation and its specific function maintenance by bioinspired electromechanical nanogenerator. SCIENCE ADVANCES 2021; 7:eabh2350. [PMID: 34559554 PMCID: PMC8462902 DOI: 10.1126/sciadv.abh2350] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/14/2023]
Abstract
The biophysical characteristics of the extracellular matrix (ECM), such as a three-dimensional (3D) network and bioelectricity, have a profound influence on cell development, migration, function expression, etc. Here, inspired by these biophysical cues of ECM, we develop an electromechanical coupling bio-nanogenerator (bio-NG) composed of highly discrete piezoelectric fibers. It can generate surface piezopotential up to millivolts by cell inherent force and thus provide in situ electrical stimulation for the living cells. Besides, the unique 3D space in the bio-NGs provides an ECM-like growth microenvironment for cells. As a result, our bio-NGs effectively promote cell viability and development and, more importantly, maintain its specific functional expression. These advanced in vitro bio-NGs are expected to fill the gap between the inaccurate 2D systems and the expensive and time-consuming animal models, mimicking the complexity of the ECM and the physiological relevance of an in vivo biological system.
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Affiliation(s)
- Tong Li
- School of Chemistry and Chemical Engineering, Nanjing University of Science and Technology, Nanjing 210094, P. R. China
| | - Chuanmei Shi
- School of Chemistry and Chemical Engineering, Nanjing University of Science and Technology, Nanjing 210094, P. R. China
| | - Fei Jin
- School of Chemistry and Chemical Engineering, Nanjing University of Science and Technology, Nanjing 210094, P. R. China
| | - Fan Yang
- Institute of Rail Transit, Tongji University, Shanghai 201804, P. R. China
| | - Long Gu
- School of Advanced Materials and Nanotechnology, Xidian University, Xi’an 710071, P. R. China
| | - Ting Wang
- State Key Laboratory of Bioelectronics, Southeast University, Nanjing 210096, P. R. China
| | - Wei Dong
- School of Chemistry and Chemical Engineering, Nanjing University of Science and Technology, Nanjing 210094, P. R. China
| | - Zhang-Qi Feng
- School of Chemistry and Chemical Engineering, Nanjing University of Science and Technology, Nanjing 210094, P. R. China
- Corresponding author.
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