2
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Yang G, Liu R, Rezaei S, Liu X, Wan YJY. Uncovering the Gut-Liver Axis Biomarkers for Predicting Metabolic Burden in Mice. Nutrients 2023; 15:3406. [PMID: 37571345 PMCID: PMC10421148 DOI: 10.3390/nu15153406] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2023] [Revised: 07/28/2023] [Accepted: 07/28/2023] [Indexed: 08/13/2023] Open
Abstract
Western diet (WD) intake, aging, and inactivation of farnesoid X receptor (FXR) are risk factors for metabolic and chronic inflammation-related health issues ranging from metabolic dysfunction-associated steatotic liver disease (MASLD) to dementia. The progression of MASLD can be escalated when those risks are combined. Inactivation of FXR, the receptor for bile acid (BA), is cancer prone in both humans and mice. The current study used multi-omics including hepatic transcripts, liver, serum, and urine metabolites, hepatic BAs, as well as gut microbiota from mouse models to classify those risks using machine learning. A linear support vector machine with K-fold cross-validation was used for classification and feature selection. We have identified that increased urine sucrose alone achieved 91% accuracy in predicting WD intake. Hepatic lithocholic acid and serum pyruvate had 100% and 95% accuracy, respectively, to classify age. Urine metabolites (decreased creatinine and taurine as well as increased succinate) or increased gut bacteria (Dorea, Dehalobacterium, and Oscillospira) could predict FXR deactivation with greater than 90% accuracy. Human disease relevance is partly revealed using the metabolite-disease interaction network. Transcriptomics data were also compared with the human liver disease datasets. WD-reduced hepatic Cyp39a1 (cytochrome P450 family 39 subfamily a member 1) and increased Gramd1b (GRAM domain containing 1B) were also changed in human liver cancer and metabolic liver disease, respectively. Together, our data contribute to the identification of noninvasive biomarkers within the gut-liver axis to predict metabolic status.
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Affiliation(s)
- Guiyan Yang
- Department of Medical Pathology, Laboratory Medicine in Sacramento, University of California, Davis, CA 95817, USA;
| | - Rex Liu
- Department of Computer Science, University of California, Davis, CA 95616, USA; (R.L.); (S.R.); (X.L.)
| | - Shahbaz Rezaei
- Department of Computer Science, University of California, Davis, CA 95616, USA; (R.L.); (S.R.); (X.L.)
| | - Xin Liu
- Department of Computer Science, University of California, Davis, CA 95616, USA; (R.L.); (S.R.); (X.L.)
| | - Yu-Jui Yvonne Wan
- Department of Medical Pathology, Laboratory Medicine in Sacramento, University of California, Davis, CA 95817, USA;
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4
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Jeon AJ, Teo YY, Sekar K, Chong SL, Wu L, Chew SC, Chen J, Kendarsari RI, Lai H, Ling WH, Kaya NA, Lim JQ, Ramasamy A, Oguz G, Chung AYF, Chan CY, Cheow PC, Kam JH, Madhavan K, Kow A, Ganpathi IS, Lim TKH, Leow WQ, Loong S, Loh TJ, Wan WK, Soon GST, Pang YH, Yoong BK, Ong DBL, Lim J, de Villa VH, Cruz RD, Chanwat R, Thammasiri J, Bonney GK, Goh BKP, Tucker-Kellogg G, Foo RSY, Chow PKH. Multi-region sampling with paired sample sequencing analyses reveals sub-groups of patients with novel patient-specific dysregulation in Hepatocellular Carcinoma. BMC Cancer 2023; 23:118. [PMID: 36737737 PMCID: PMC9896715 DOI: 10.1186/s12885-022-10444-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2022] [Accepted: 12/13/2022] [Indexed: 02/05/2023] Open
Abstract
BACKGROUND Conventional differential expression (DE) testing compares the grouped mean value of tumour samples to the grouped mean value of the normal samples, and may miss out dysregulated genes in small subgroup of patients. This is especially so for highly heterogeneous cancer like Hepatocellular Carcinoma (HCC). METHODS Using multi-region sampled RNA-seq data of 90 patients, we performed patient-specific differential expression testing, together with the patients' matched adjacent normal samples. RESULTS Comparing the results from conventional DE analysis and patient-specific DE analyses, we show that the conventional DE analysis omits some genes due to high inter-individual variability present in both tumour and normal tissues. Dysregulated genes shared in small subgroup of patients were useful in stratifying patients, and presented differential prognosis. We also showed that the target genes of some of the current targeted agents used in HCC exhibited highly individualistic dysregulation pattern, which may explain the poor response rate. DISCUSSION/CONCLUSION Our results highlight the importance of identifying patient-specific DE genes, with its potential to provide clinically valuable insights into patient subgroups for applications in precision medicine.
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Affiliation(s)
- Ah-Jung Jeon
- grid.410724.40000 0004 0620 9745Department of Hepatopancreatobiliary and Transplant Surgery, Division of Surgery and Surgical Oncology, Singapore General Hospital and National Cancer Centre Singapore, Singapore, Singapore ,grid.410724.40000 0004 0620 9745Program in Clinical and Translational Liver Cancer Research, Division of Medical Science, National Cancer Center Singapore, Singapore, Singapore
| | - Yue-Yang Teo
- grid.410724.40000 0004 0620 9745Department of Hepatopancreatobiliary and Transplant Surgery, Division of Surgery and Surgical Oncology, Singapore General Hospital and National Cancer Centre Singapore, Singapore, Singapore ,grid.410724.40000 0004 0620 9745Program in Clinical and Translational Liver Cancer Research, Division of Medical Science, National Cancer Center Singapore, Singapore, Singapore
| | - Karthik Sekar
- grid.410724.40000 0004 0620 9745Department of Hepatopancreatobiliary and Transplant Surgery, Division of Surgery and Surgical Oncology, Singapore General Hospital and National Cancer Centre Singapore, Singapore, Singapore ,grid.410724.40000 0004 0620 9745Program in Clinical and Translational Liver Cancer Research, Division of Medical Science, National Cancer Center Singapore, Singapore, Singapore
| | - Shay Lee Chong
- grid.410724.40000 0004 0620 9745Department of Hepatopancreatobiliary and Transplant Surgery, Division of Surgery and Surgical Oncology, Singapore General Hospital and National Cancer Centre Singapore, Singapore, Singapore ,grid.410724.40000 0004 0620 9745Program in Clinical and Translational Liver Cancer Research, Division of Medical Science, National Cancer Center Singapore, Singapore, Singapore
| | - Lingyan Wu
- grid.410724.40000 0004 0620 9745Department of Hepatopancreatobiliary and Transplant Surgery, Division of Surgery and Surgical Oncology, Singapore General Hospital and National Cancer Centre Singapore, Singapore, Singapore ,grid.410724.40000 0004 0620 9745Program in Clinical and Translational Liver Cancer Research, Division of Medical Science, National Cancer Center Singapore, Singapore, Singapore
| | - Sin-Chi Chew
- grid.410724.40000 0004 0620 9745Department of Hepatopancreatobiliary and Transplant Surgery, Division of Surgery and Surgical Oncology, Singapore General Hospital and National Cancer Centre Singapore, Singapore, Singapore ,grid.410724.40000 0004 0620 9745Program in Clinical and Translational Liver Cancer Research, Division of Medical Science, National Cancer Center Singapore, Singapore, Singapore
| | - Jianbin Chen
- grid.185448.40000 0004 0637 0221Genome Institute of Singapore, Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
| | - Raden Indah Kendarsari
- grid.185448.40000 0004 0637 0221Genome Institute of Singapore, Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
| | - Hannah Lai
- grid.185448.40000 0004 0637 0221Genome Institute of Singapore, Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
| | - Wen Huan Ling
- grid.410724.40000 0004 0620 9745Department of Hepatopancreatobiliary and Transplant Surgery, Division of Surgery and Surgical Oncology, Singapore General Hospital and National Cancer Centre Singapore, Singapore, Singapore ,grid.410724.40000 0004 0620 9745Program in Clinical and Translational Liver Cancer Research, Division of Medical Science, National Cancer Center Singapore, Singapore, Singapore
| | - Neslihan Arife Kaya
- grid.185448.40000 0004 0637 0221Genome Institute of Singapore, Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
| | - Jia Qi Lim
- grid.185448.40000 0004 0637 0221Genome Institute of Singapore, Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
| | - Adaikalavan Ramasamy
- grid.185448.40000 0004 0637 0221Genome Institute of Singapore, Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
| | - Gokce Oguz
- grid.185448.40000 0004 0637 0221Genome Institute of Singapore, Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
| | - Alexander Yaw-Fui Chung
- grid.410724.40000 0004 0620 9745Department of Hepatopancreatobiliary and Transplant Surgery, Division of Surgery and Surgical Oncology, Singapore General Hospital and National Cancer Centre Singapore, Singapore, Singapore ,grid.428397.30000 0004 0385 0924Academic Clinical Programme for Surgery, Duke-NUS Medical School, Singapore, Singapore
| | - Chung Yip Chan
- grid.410724.40000 0004 0620 9745Department of Hepatopancreatobiliary and Transplant Surgery, Division of Surgery and Surgical Oncology, Singapore General Hospital and National Cancer Centre Singapore, Singapore, Singapore ,grid.428397.30000 0004 0385 0924Academic Clinical Programme for Surgery, Duke-NUS Medical School, Singapore, Singapore
| | - Peng-Chung Cheow
- grid.410724.40000 0004 0620 9745Department of Hepatopancreatobiliary and Transplant Surgery, Division of Surgery and Surgical Oncology, Singapore General Hospital and National Cancer Centre Singapore, Singapore, Singapore ,grid.428397.30000 0004 0385 0924Academic Clinical Programme for Surgery, Duke-NUS Medical School, Singapore, Singapore
| | - Juinn Huar Kam
- grid.410724.40000 0004 0620 9745Department of Hepatopancreatobiliary and Transplant Surgery, Division of Surgery and Surgical Oncology, Singapore General Hospital and National Cancer Centre Singapore, Singapore, Singapore ,grid.428397.30000 0004 0385 0924Academic Clinical Programme for Surgery, Duke-NUS Medical School, Singapore, Singapore
| | - Krishnakumar Madhavan
- grid.410759.e0000 0004 0451 6143Division of Hepatobiliary & Pancreatic Surgery, Department of Surgery, University Surgical Cluster, National University Health System, Singapore, Singapore
| | - Alfred Kow
- grid.410759.e0000 0004 0451 6143Division of Hepatobiliary & Pancreatic Surgery, Department of Surgery, University Surgical Cluster, National University Health System, Singapore, Singapore
| | - Iyer Shridhar Ganpathi
- grid.410759.e0000 0004 0451 6143Division of Hepatobiliary & Pancreatic Surgery, Department of Surgery, University Surgical Cluster, National University Health System, Singapore, Singapore
| | - Tony Kiat Hon Lim
- grid.163555.10000 0000 9486 5048Department of Anatomical Pathology, Singapore General Hospital, Singapore, 169608 Singapore
| | - Wei-Qiang Leow
- grid.163555.10000 0000 9486 5048Department of Anatomical Pathology, Singapore General Hospital, Singapore, 169608 Singapore
| | - Shihleone Loong
- grid.163555.10000 0000 9486 5048Department of Anatomical Pathology, Singapore General Hospital, Singapore, 169608 Singapore
| | - Tracy Jiezhen Loh
- grid.163555.10000 0000 9486 5048Department of Anatomical Pathology, Singapore General Hospital, Singapore, 169608 Singapore
| | - Wei Keat Wan
- grid.163555.10000 0000 9486 5048Department of Anatomical Pathology, Singapore General Hospital, Singapore, 169608 Singapore
| | - Gwyneth Shook Ting Soon
- grid.412106.00000 0004 0621 9599Department of Pathology, National University Hospital, Singapore, 119074 Singapore
| | - Yin Huei Pang
- grid.412106.00000 0004 0621 9599Department of Pathology, National University Hospital, Singapore, 119074 Singapore
| | - Boon Koon Yoong
- grid.10347.310000 0001 2308 5949Department of Surgery, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia
| | - Diana Bee-Lan Ong
- grid.10347.310000 0001 2308 5949Department of Surgery, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia
| | - Jasmine Lim
- grid.10347.310000 0001 2308 5949Department of Surgery, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia
| | - Vanessa H. de Villa
- Department of Surgery and Center for Liver Health and Transplantation, The Medical City, Pasig City, Metro Manila Philippines
| | - Rouchelle D.dela Cruz
- Department of Laboratory Medicine and Pathology, The Medical City, Pasig City, Metro Manila Philippines
| | - Rawisak Chanwat
- grid.419173.90000 0000 9607 5779Hepato-Pancreato-Biliary Surgery Unit, Department of Surgery, National Cancer Institute, Bangkok, Thailand
| | - Jidapa Thammasiri
- grid.419173.90000 0000 9607 5779Division of Pathology, National Cancer Institute, Bangkok, Thailand
| | - Glenn K. Bonney
- grid.410759.e0000 0004 0451 6143Division of Hepatobiliary & Pancreatic Surgery, Department of Surgery, University Surgical Cluster, National University Health System, Singapore, Singapore
| | - Brian K. P. Goh
- grid.410724.40000 0004 0620 9745Department of Hepatopancreatobiliary and Transplant Surgery, Division of Surgery and Surgical Oncology, Singapore General Hospital and National Cancer Centre Singapore, Singapore, Singapore ,grid.428397.30000 0004 0385 0924Academic Clinical Programme for Surgery, Duke-NUS Medical School, Singapore, Singapore
| | - Greg Tucker-Kellogg
- grid.4280.e0000 0001 2180 6431Department of Biological Sciences, National University of Singapore, Singapore, Singapore
| | - Roger Sik Yin Foo
- grid.185448.40000 0004 0637 0221Genome Institute of Singapore, Agency for Science, Technology and Research (A*STAR), Singapore, Singapore ,grid.4280.e0000 0001 2180 6431Cardiovascular Disease Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore ,grid.4280.e0000 0001 2180 6431Cardiovascular Research Institute, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Pierce K. H. Chow
- grid.410724.40000 0004 0620 9745Department of Hepatopancreatobiliary and Transplant Surgery, Division of Surgery and Surgical Oncology, Singapore General Hospital and National Cancer Centre Singapore, Singapore, Singapore ,grid.410724.40000 0004 0620 9745Program in Clinical and Translational Liver Cancer Research, Division of Medical Science, National Cancer Center Singapore, Singapore, Singapore ,grid.428397.30000 0004 0385 0924Academic Clinical Programme for Surgery, Duke-NUS Medical School, Singapore, Singapore
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5
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Liu S, Yin R, Yang Z, Wei F, Hu J. The effects of rhein on D-GalN/LPS-induced acute liver injury in mice: Results from gut microbiome-metabolomics and host transcriptome analysis. Front Immunol 2022; 13:971409. [PMID: 36389730 PMCID: PMC9648667 DOI: 10.3389/fimmu.2022.971409] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2022] [Accepted: 10/11/2022] [Indexed: 11/24/2022] Open
Abstract
Background Rhubarb is an important traditional Chinese medicine, and rhein is one of its most important active ingredients. Studies have found that rhein can improve ulcerative colitis by regulating gut microbes, but there are few reports on its effects on liver diseases. Therefore, this study aims to investigate these effects and underlying mechanisms. Methods Mice were given rhein (100 mg/kg), with both a normal control group and a model group receiving the same amount of normal saline for one week. Acute liver injury was induced in mice by intraperitoneal injection of D-GalN (800 mg/kg)/LPS (10 ug/kg). Samples (blood, liver, and stool) were then collected and assessed for histological lesions and used for 16S rRNA gene sequencing, high-performance liquid chromatography-mass spectrometry (LC-MS) and RNA-seq analysis. Results The levels of ALT and AST in the Model group were abnormal higher compared to the normal control group, and the levels of ALT and AST were significantly relieved in the rhein group. Hepatic HE staining showed that the degree of liver injury in the rhein group was lighter than that in the model group, and microbiological results showed that norank_o:Clostridia_UCG-014, Lachnoclostridium, and Roseburia were more abundant in the model group compared to the normal control group. Notably, the rhein treatment group showed reshaped disturbance of intestinal microbial community by D-GalN/LPS and these mice also had higher levels of Verrucomicrobia, Akkermansiaceae and Bacteroidetes. Additionally, There were multiple metabolites that were significantly different between the normal control group and the model group, such as L-α-amino acid, ofloxacin-N-oxide, 1-hydroxy-1,3-diphenylpropan-2-one,and L-4-hydroxyglutamate semialdehyde, but that returned to normal levels after rhein treatment. The gene expression level in the model group also changed significantly, various genes such as Cxcl2, S100a9, Tnf, Ereg, and IL-10 were up-regulated, while Mfsd2a and Bhlhe41 were down-regulated, which were recovered after rhein treatment. Conclusion Overall, our results show that rhein alleviated D-GalN/LPS-induced acute liver injury in mice. It may help modulate gut microbiota in mice, thereby changing metabolism in the intestine. Meanwhile, rhein also may help regulate genes expression level to alleviate D-GalN/LPS-induced acute liver injury.
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Affiliation(s)
- Shuhui Liu
- Beijing Youan Hospital, Capital Medical University, Beijing, China
| | - Ruiying Yin
- Beijing Youan Hospital, Capital Medical University, Beijing, China
| | - Ziwei Yang
- Beijing Youan Hospital, Capital Medical University, Beijing, China
| | - Feili Wei
- Beijing Institute of Hepatology, Beijing Youan Hospital, Capital Medical University, Beijing, China
- *Correspondence: Feili Wei, ; Jianhua Hu,
| | - Jianhua Hu
- Beijing Youan Hospital, Capital Medical University, Beijing, China
- *Correspondence: Feili Wei, ; Jianhua Hu,
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7
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Zhang S, Shen M, Yin H, Huang H, Li T, Zhao W, Guo X, Wu P. Expression profile analysis of circular RNAs in BmN cells (Bombyx mori) upon BmNPV infection. ARCHIVES OF INSECT BIOCHEMISTRY AND PHYSIOLOGY 2020; 105:e21735. [PMID: 32881053 DOI: 10.1002/arch.21735] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/16/2020] [Revised: 08/08/2020] [Accepted: 08/14/2020] [Indexed: 06/11/2023]
Abstract
The disease caused by Bombyx mori nucleopolyhedrovirus (BmNPV) has always been difficult to control, resulting in tremendous economic losses in the sericulture industry. Although much has been learned about the impact of noncoding RNAs on pathogenesis, the role of circular RNA (circRNA) in insect immunity remains unclear. To explore circRNA regulation involved in BmNPV infection, we used transcriptome analysis of BmN cells with or without BmNPV infection to generate circRNA data set. A total of 444 novel circRNAs were identified in BmN cells, with 198 pervasively distributed both in the control group and BmNPV-infection group. The host genes were enriched inMAPK signaling pathway, dorso-ventral axis formation, and ECM-receptor interaction, which were required for the normal larval growth. A total of 75 circRNAs were differentially expressed (DE) on BmNPV infection. Six downregulated circRNAs were validated by Sanger sequencing and qRT-PCR. DEcircRNA-miRNA-DEmRNA network was constructed based on the six validated circRNAs. Pathway analysis indicated that the predicted target genes were mainly enriched in the metabolic pathway and immune-related signaling pathway. Our results may provide a basis for further studies on circRNA function in BmN cells challenged by BmNPV infection and offer an insight into the molecular mechanism on silkworm-virus interaction.
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Affiliation(s)
- Shaolun Zhang
- Jiangsu Key Laboratory of Sericultural Biology and Biotechnology, School of Biotechnology, Jiangsu University of Science and Technology, Zhenjiang, Jiangsu, China
| | - Manman Shen
- Jiangsu Key Laboratory of Sericultural Biology and Biotechnology, School of Biotechnology, Jiangsu University of Science and Technology, Zhenjiang, Jiangsu, China
- Key Laboratory of Silkworm and Mulberry Genetic Improvement, Ministry of Agriculture and Rural Affairs, Sericultural Research Institute, Chinese Academy of Agricultural Sciences, Zhenjiang, Jiangsu, China
| | - Haotong Yin
- Jiangsu Key Laboratory of Sericultural Biology and Biotechnology, School of Biotechnology, Jiangsu University of Science and Technology, Zhenjiang, Jiangsu, China
| | - Haoling Huang
- Jiangsu Key Laboratory of Sericultural Biology and Biotechnology, School of Biotechnology, Jiangsu University of Science and Technology, Zhenjiang, Jiangsu, China
| | - Tao Li
- Jiangsu Key Laboratory of Sericultural Biology and Biotechnology, School of Biotechnology, Jiangsu University of Science and Technology, Zhenjiang, Jiangsu, China
| | - Weiguo Zhao
- Jiangsu Key Laboratory of Sericultural Biology and Biotechnology, School of Biotechnology, Jiangsu University of Science and Technology, Zhenjiang, Jiangsu, China
- Key Laboratory of Silkworm and Mulberry Genetic Improvement, Ministry of Agriculture and Rural Affairs, Sericultural Research Institute, Chinese Academy of Agricultural Sciences, Zhenjiang, Jiangsu, China
| | - Xijie Guo
- Jiangsu Key Laboratory of Sericultural Biology and Biotechnology, School of Biotechnology, Jiangsu University of Science and Technology, Zhenjiang, Jiangsu, China
- Key Laboratory of Silkworm and Mulberry Genetic Improvement, Ministry of Agriculture and Rural Affairs, Sericultural Research Institute, Chinese Academy of Agricultural Sciences, Zhenjiang, Jiangsu, China
| | - Ping Wu
- Jiangsu Key Laboratory of Sericultural Biology and Biotechnology, School of Biotechnology, Jiangsu University of Science and Technology, Zhenjiang, Jiangsu, China
- Key Laboratory of Silkworm and Mulberry Genetic Improvement, Ministry of Agriculture and Rural Affairs, Sericultural Research Institute, Chinese Academy of Agricultural Sciences, Zhenjiang, Jiangsu, China
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8
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Liao S, Chen H, Liu M, Gan L, Li C, Zhang W, Lv L, Mei Z. Aquaporin 9 inhibits growth and metastasis of hepatocellular carcinoma cells via Wnt/β-catenin pathway. Aging (Albany NY) 2020; 12:1527-1544. [PMID: 31969493 PMCID: PMC7053619 DOI: 10.18632/aging.102698] [Citation(s) in RCA: 50] [Impact Index Per Article: 12.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2019] [Accepted: 12/26/2019] [Indexed: 12/12/2022]
Abstract
Hepatocellular carcinoma (HCC) is the most common type of liver cancer worldwide, and it is the second leading cause of cancer-related mortality. Aquaporin 9 (AQP9) is an essential aquaporin in the liver and located in the basolateral membrane of hepatocytes, but its roles on HCC has not been completely elucidated. This study investigated the regulatory functions of AQP9 in the pathogenesis of HCC. The expression levels of AQP9 were significantly down-regulated in HCC tissues and cells, which was also correlated with tumor size and number, TNM stage, five-year survival rate, lymphatic and distal metastasis within the patients. Furthermore, overexpressed AQP9 suppressed the proliferation, migration and invasion of HCC cells. The levels of PCNA, E-cad, N-cad, α-SMA, DVL2, GSK-3β, cyclinD1 and β-catenin in HCC cells were reduced by overexpressed AQP9, while cell apoptosis was remarkably enhanced. Additionally, following the treatment with Wnt/β-catenin signaling inhibitor (XAV939), the proliferative activity of HCC cells was significantly inhibited; PCNA and EMT-related markers were down-regulated; migration and invasion of cells were notably suppressed; cell apoptotic rate was decreased. Vice versa, after the cells were treated with Wnt/β-catenin inducer (SKL2001), the effects caused by overexpressed AQP9 were abrogated. In vivo studies indicated that tumor volume and weight were remarkably decreased in AQP9 overexpression group, where the levels of Wnt/β-catenin signaling- and EMT-associated molecules were also reduced. Taken together, our results suggested that overexpressed AQP9 could inhibit growth and metastasis of HCC cells via Wnt/β-catenin pathway. AQP9 may be a promising therapeutic target for the treatment of patients with HCC.
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Affiliation(s)
- Shengtao Liao
- Department of Gastroenterology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing 400010, P.R. China
| | - Hongyu Chen
- Department of Gastroenterology, University-Town Hospital of Chongqing Medical University, Chongqing 401331, P.R. China
| | - Min Liu
- Department of Gastroenterology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing 400010, P.R. China
| | - Li Gan
- Teaching and Research Section of Forensic Medicine, College of Basic Medicine, Chongqing Medical University, Chongqing 400016, P.R. China
| | - Chuanfei Li
- Department of Gastroenterology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing 400010, P.R. China
| | - Wenguang Zhang
- Department of Gastroenterology, Banan People's Hospital of Chongqing, Chongqing 401320, P.R. China
| | - Lin Lv
- Department of Gastroenterology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing 400010, P.R. China
| | - Zhechuan Mei
- Department of Gastroenterology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing 400010, P.R. China
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