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Qian J, Huang C, Wang M, Liu Y, Zhao Y, Li M, Zhang X, Gao X, Zhang Y, Wang Y, Huang J, Li J, Zhou Q, Liu R, Wang X, Cui J, Yang Y. Nuclear translocation of metabolic enzyme PKM2 participates in high glucose-promoted HCC metastasis by strengthening immunosuppressive environment. Redox Biol 2024; 71:103103. [PMID: 38471282 PMCID: PMC10945175 DOI: 10.1016/j.redox.2024.103103] [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: 01/18/2024] [Revised: 02/14/2024] [Accepted: 02/23/2024] [Indexed: 03/14/2024] Open
Abstract
Although some cohort studies have indicated a close association between diabetes and HCC, the underlying mechanism about the contribution of diabetes to HCC progression remains largely unknown. In the study, we applied a novel HCC model in SD rat with diabetes and a series of high glucose-stimulated cell experiments to explore the effect of a high glucose environment on HCC metastasis and its relevant mechanism. Our results uncovered a novel regulatory mechanism by which nuclear translocation of metabolic enzyme PKM2 mediated high glucose-promoted HCC metastasis. Specifically, high glucose-increased PKM2 nuclear translocation downregulates chemerin expression through the redox protein TRX1, and then strengthens immunosuppressive environment to promote HCC metastasis. To the best of our knowledge, this is the first report to elucidate the great contribution of a high glucose environment to HCC metastasis from a new perspective of enhancing the immunosuppressive microenvironment. Simultaneously, this work also highlights a previously unidentified non-metabolic role of PKM2 and opens a novel avenue for cross research and intervention for individuals with HCC and comorbid diabetes.
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Affiliation(s)
- Jiali Qian
- Department of endocrinology, Huashan Hospital, Fudan University, Shanghai, China
| | - Chuxin Huang
- Department of endocrinology, Huashan Hospital, Fudan University, Shanghai, China
| | - Mimi Wang
- Liver Cancer Institute, Zhongshan Hospital, Fudan University & Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Shanghai, China
| | - Ying Liu
- Department of endocrinology, Huashan Hospital, Fudan University, Shanghai, China
| | - Yingying Zhao
- Liver Cancer Institute, Zhongshan Hospital, Fudan University & Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Shanghai, China
| | - Miao Li
- Liver Cancer Institute, Zhongshan Hospital, Fudan University & Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Shanghai, China
| | - Xi Zhang
- Liver Cancer Institute, Zhongshan Hospital, Fudan University & Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Shanghai, China
| | - Xiangyu Gao
- Department of endocrinology, Huashan Hospital, Fudan University, Shanghai, China
| | - Yawen Zhang
- Department of endocrinology, Huashan Hospital, Fudan University, Shanghai, China
| | - Yi Wang
- Department of endocrinology, Huashan Hospital, Fudan University, Shanghai, China
| | - Jinya Huang
- Department of endocrinology, Huashan Hospital, Fudan University, Shanghai, China
| | - Jiajun Li
- Liver Cancer Institute, Zhongshan Hospital, Fudan University & Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Shanghai, China
| | - Qiwen Zhou
- Liver Cancer Institute, Zhongshan Hospital, Fudan University & Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Shanghai, China
| | - Rui Liu
- Department of endocrinology, Huashan Hospital, Fudan University, Shanghai, China
| | - Xuanchun Wang
- Department of endocrinology, Huashan Hospital, Fudan University, Shanghai, China
| | - Jiefeng Cui
- Liver Cancer Institute, Zhongshan Hospital, Fudan University & Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Shanghai, China.
| | - Yehong Yang
- Department of endocrinology, Huashan Hospital, Fudan University, Shanghai, China.
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Watanabe T, Tokumoto Y, Joko K, Michitaka K, Horiike N, Tanaka Y, Hiraoka A, Tada F, Ochi H, Kisaka Y, Nakanishi S, Yagi S, Yamauchi K, Higashino M, Hirooka K, Morita M, Okazaki Y, Yukimoto A, Hirooka M, Abe M, Hiasa Y. Simple new clinical score to predict hepatocellular carcinoma after sustained viral response with direct-acting antivirals. Sci Rep 2023; 13:8992. [PMID: 37268672 DOI: 10.1038/s41598-023-36052-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2023] [Accepted: 05/28/2023] [Indexed: 06/04/2023] Open
Abstract
The time point of the most precise predictor of hepatocellular carcinoma (HCC) development after viral eradication with direct-acting antiviral (DAA) therapy is unclear. In this study we developed a scoring system that can accurately predict the occurrence of HCC using data from the optimal time point. A total of 1683 chronic hepatitis C patients without HCC who achieved sustained virological response (SVR) with DAA therapy were split into a training set (999 patients) and a validation set (684 patients). The most accurate predictive scoring system to estimate HCC incidence was developed using each of the factors at baseline, end of treatment, and SVR at 12 weeks (SVR12). Multivariate analysis identified diabetes, the fibrosis-4 (FIB-4) index, and the α-fetoprotein level as independent factors at SVR12 that contributed to HCC development. A prediction model was constructed with these factors that ranged from 0 to 6 points. No HCC was observed in the low-risk group. Five-year cumulative incidence rates of HCC were 1.9% in the intermediate-risk group and 15.3% in the high-risk group. The prediction model at SVR12 most accurately predicted HCC development compared with other time points. This simple scoring system combining factors at SVR12 can accurately evaluate HCC risk after DAA treatment.
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Affiliation(s)
- Takao Watanabe
- Department of Gastroenterology and Metabology, Ehime University Graduate School of Medicine, Shitsukawa, Toon, Ehime, 791-0295, Japan
| | - Yoshio Tokumoto
- Department of Gastroenterology and Metabology, Ehime University Graduate School of Medicine, Shitsukawa, Toon, Ehime, 791-0295, Japan.
| | - Kouji Joko
- Center for Liver-Biliary-Pancreatic Diseases, Matsuyama Red Cross Hospital, 1 Bunkyocho, Matsuyama, Ehime, 790-8524, Japan
| | - Kojiro Michitaka
- Department of Gastroenterology, Ehime Prefectural Central Hospital, 83 Kasugamachi, Matsuyama, Ehime, 790-0024, Japan
| | - Norio Horiike
- Department of Gastroenterology, Saiseikai Imabari Hospital, 7-1-6 Kitamura, Imabari, Ehime, 799-1502, Japan
| | - Yoshinori Tanaka
- Department of Gastroenterology, Matsuyama Shimin Hospital, 2-6-5 Ootemachi, Matsuyama, Ehime, 790-0067, Japan
| | - Atsushi Hiraoka
- Department of Gastroenterology, Ehime Prefectural Central Hospital, 83 Kasugamachi, Matsuyama, Ehime, 790-0024, Japan
| | - Fujimasa Tada
- Department of Internal Medicine, Saiseikai Matsuyama Hospital, 880-2 Yamanishicho, Matsuyama, Ehime, 791-8026, Japan
| | - Hironori Ochi
- Center for Liver-Biliary-Pancreatic Diseases, Matsuyama Red Cross Hospital, 1 Bunkyocho, Matsuyama, Ehime, 790-8524, Japan
| | - Yoshiyasu Kisaka
- Department of Gastroenterology, Uwajima City Hospital, 1-1 Gotenmachi, Uwajima, Ehime, 798-8510, Japan
| | - Seiji Nakanishi
- Department of Gastroenterology, Ehime Prefectural Imabari Hospital, 4-5-5 Ishiicho, Imabari, Ehime, 794-0006, Japan
| | - Sen Yagi
- Department of Internal Medicine, Saiseikai Matsuyama Hospital, 880-2 Yamanishicho, Matsuyama, Ehime, 791-8026, Japan
| | - Kazuhiko Yamauchi
- Department of Gastroenterology, National Hospital Organization Ehime Medical Center, 366 Yokogawara, Toon, Ehime, 791-0203, Japan
| | - Makoto Higashino
- Department of Internal Medicine, Saiseikai Matsuyama Hospital, 880-2 Yamanishicho, Matsuyama, Ehime, 791-8026, Japan
| | - Kana Hirooka
- Department of Gastroenterology, National Hospital Organization Ehime Medical Center, 366 Yokogawara, Toon, Ehime, 791-0203, Japan
| | - Makoto Morita
- Department of Gastroenterology and Metabology, Ehime University Graduate School of Medicine, Shitsukawa, Toon, Ehime, 791-0295, Japan
| | - Yuki Okazaki
- Department of Gastroenterology and Metabology, Ehime University Graduate School of Medicine, Shitsukawa, Toon, Ehime, 791-0295, Japan
| | - Atsushi Yukimoto
- Department of Gastroenterology and Metabology, Ehime University Graduate School of Medicine, Shitsukawa, Toon, Ehime, 791-0295, Japan
| | - Masashi Hirooka
- Department of Gastroenterology and Metabology, Ehime University Graduate School of Medicine, Shitsukawa, Toon, Ehime, 791-0295, Japan
| | - Masanori Abe
- Department of Gastroenterology and Metabology, Ehime University Graduate School of Medicine, Shitsukawa, Toon, Ehime, 791-0295, Japan
| | - Yoichi Hiasa
- Department of Gastroenterology and Metabology, Ehime University Graduate School of Medicine, Shitsukawa, Toon, Ehime, 791-0295, Japan
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5
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Barré T, Carrat F, Ramier C, Fontaine H, Di Beo V, Bureau M, Dorival C, Larrey D, Delarocque-Astagneau E, Mathurin P, Marcellin F, Petrov-Sanchez V, Cagnot C, Carrieri P, Pol S, Protopopescu C, Alric L, Pomes C, Zoulim F, Maynard M, Bai R, Hucault L, Bailly F, Raffi F, Billaud E, Boutoille D, Lefebvre M, André-Garnier E, Cales P, Hubert I, Lannes A, Lunel F, Boursier J, Asselah T, Boyer N, Giuily N, Castelnau C, Scoazec G, Pol S, Fontaine H, Rousseaud E, Vallet-Pichard A, Sogni P, de Ledinghen V, Foucher J, Hiriart JB, M’Bouyou J, Irlès-Depé M, Bourlière M, Ahmed SNS, Oules V, Tran A, Anty R, Gelsi E, Truchi R, Thabut D, Hammeche S, Moussali J, Causse X, De Dieuleveult B, Ouarani B, Labarrière D, Ganne N, Grando-Lemaire V, Nahon P, Brulé S, Ulker B, Guyader D, Jezequel C, Brener A, Laligant A, Rabot A, Renard I, Habersetzer F, Baumert TF, Doffoel M, Mutter C, Simo-Noumbissie P, Razi E, Bronowicki JP, Barraud H, Bensenane M, Nani A, Hassani-Nani S, Bernard MA, Pageaux GP, Larrey D, Meszaros M, Metivier S, Bureau C, Morales T, Peron JM, Robic MA, Decaens T, Faure M, Froissart B, Hilleret MN, Zarski JP, Riachi G, Goria O, et alBarré T, Carrat F, Ramier C, Fontaine H, Di Beo V, Bureau M, Dorival C, Larrey D, Delarocque-Astagneau E, Mathurin P, Marcellin F, Petrov-Sanchez V, Cagnot C, Carrieri P, Pol S, Protopopescu C, Alric L, Pomes C, Zoulim F, Maynard M, Bai R, Hucault L, Bailly F, Raffi F, Billaud E, Boutoille D, Lefebvre M, André-Garnier E, Cales P, Hubert I, Lannes A, Lunel F, Boursier J, Asselah T, Boyer N, Giuily N, Castelnau C, Scoazec G, Pol S, Fontaine H, Rousseaud E, Vallet-Pichard A, Sogni P, de Ledinghen V, Foucher J, Hiriart JB, M’Bouyou J, Irlès-Depé M, Bourlière M, Ahmed SNS, Oules V, Tran A, Anty R, Gelsi E, Truchi R, Thabut D, Hammeche S, Moussali J, Causse X, De Dieuleveult B, Ouarani B, Labarrière D, Ganne N, Grando-Lemaire V, Nahon P, Brulé S, Ulker B, Guyader D, Jezequel C, Brener A, Laligant A, Rabot A, Renard I, Habersetzer F, Baumert TF, Doffoel M, Mutter C, Simo-Noumbissie P, Razi E, Bronowicki JP, Barraud H, Bensenane M, Nani A, Hassani-Nani S, Bernard MA, Pageaux GP, Larrey D, Meszaros M, Metivier S, Bureau C, Morales T, Peron JM, Robic MA, Decaens T, Faure M, Froissart B, Hilleret MN, Zarski JP, Riachi G, Goria O, Paris F, Montialoux H, Leroy V, Amaddeo G, Varaut A, Simoes M, Amzal R, Chazouillières O, Andreani T, Angoulevant B, Chevance A, Serfaty L, Samuel D, Antonini T, Coilly A, Duclos-Vallée JC, Tateo M, Abergel A, Reymond M, Brigitte C, Benjamin B, Muti L, Geist C, Conroy G, Riffault R, Rosa I, Barrault C, Costes L, Hagège H, Loustaud-Ratti V, Carrier P, Debette-Gratien M, Mathurin P, Lassailly G, Lemaitre E, Canva V, Dharancy S, Louvet A, Minello A, Latournerie M, Bardou M, Mouillot T, D’Alteroche L, Barbereau D, Nicolas C, Elkrief L, Jaillais A, Gournay J, Chevalier C, Archambeaud I, Habes S, Portal I, Gelu-Simeon M, Saillard E, Lafrance MJ, Catherine L, Carrat F, Chau F, Dorival C, Goderel I, Lusivika-Nzinga C, Bellance MA, Bellet J, Monfalet P, Chane-Teng J, Bijaoui S, Pannetier G, Téoulé F, Nicol J, Sebal F, Bekhti R, Cagnot C, Boston A, Nailler L, Le Meut G, Diallo A, Petrov-Sanchez V, Bourlière M, Boursier J, Carrat F, Carrieri P, Delarocque-Astagneau E, De Ledinghen V, Dorival C, Fontaine H, Fourati S, Housset C, Larrey D, Nahon P, Pageaux GP, Petrov-Sanchez V, Pol S, Bruyand M, Wittkop L, Zoulim F, Zucman-Rossi J, L’hennaff M, Sizorn M, Cagnot C. Cannabis use as a factor of lower corpulence in hepatitis C-infected patients: results from the ANRS CO22 Hepather cohort. J Cannabis Res 2022; 4:31. [PMID: 35690798 PMCID: PMC9188079 DOI: 10.1186/s42238-022-00138-9] [Show More Authors] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2022] [Accepted: 05/19/2022] [Indexed: 11/21/2022] Open
Abstract
Background Patients with chronic hepatitis C virus (HCV) infection are at greater risk of developing metabolic disorders. Obesity is a major risk factor for these disorders, and therefore, managing body weight is crucial. Cannabis use, which is common in these patients, has been associated with lower corpulence in various populations. However, this relationship has not yet been studied in persons with chronic HCV infection. Methods Using baseline data from the French ANRS CO22 Hepather cohort, we used binary logistic and multinomial logistic regression models to test for an inverse relationship between cannabis use (former/current) and (i) central obesity (i.e., large waist circumference) and (ii) overweight and obesity (i.e., elevated body mass index (BMI)) in patients from the cohort who had chronic HCV infection. We also tested for relationships between cannabis use and both waist circumference and BMI as continuous variables, using linear regression models. Results Among the 6348 participants in the study population, 55% had central obesity, 13.7% had obesity according to their BMI, and 12.4% were current cannabis users. After multivariable adjustment, current cannabis use was associated with lower risk of central obesity (adjusted odds ratio, aOR [95% confidence interval, CI]: 0.45 [0.37–0.55]), BMI-based obesity (adjusted relative risk ratio (aRRR) [95% CI]: 0.27 [0.19–0.39]), and overweight (aRRR [95% CI]: 0.47 [0.38–0.59]). This was also true for former use, but to a lesser extent. Former and current cannabis use were inversely associated with waist circumference and BMI. Conclusions We found that former and, to a greater extent, current cannabis use were consistently associated with smaller waist circumference, lower BMI, and lower risks of overweight, obesity, and central obesity in patients with chronic HCV infection. Longitudinal studies are needed to confirm these relationships and to assess the effect of cannabis use on corpulence and liver outcomes after HCV cure. Trial registration ClinicalTrials.gov identifier: NCT01953458.
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