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Shu W, Song Y, Lin Z, Yang M, Pan B, Su R, Yang M, Lu Z, Zheng S, Xu X, Yang Z, Wei X. Evaluation of liver regeneration after hemi-hepatectomy by combining computed tomography and post-operative liver function. Heliyon 2024; 10:e30964. [PMID: 38803961 PMCID: PMC11128876 DOI: 10.1016/j.heliyon.2024.e30964] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2023] [Revised: 05/07/2024] [Accepted: 05/08/2024] [Indexed: 05/29/2024] Open
Abstract
Background Accurate evaluation of postoperative liver regeneration is essential to prevent postoperative liver failure. Aims To analyze the predictors that affect liver regeneration after hemi-hepatectomy. Method Patients who underwent hemi-hepatectomy in Hangzhou First People's Hospital and Hangzhou Shulan Hospital from January 2016 to December 2021 were enrolled in this study. The regeneration index (RI) was calculated by the following equation: RI = [(postoperative total liver volume {TLVpost} - future liver remnant volume {FLRV}/FLRV] × 100 %. Hepatic dysfunction was defined according to the "TBilpeak>7" standard, which was interpreted as (peak) total bilirubin (TBil) >7.0 mg/dL. Good liver regeneration was defined solely when the RI surpassed the median with hepatic dysfunction. Logistic regression analyses were performed to estimate prognostic factors affecting liver regeneration. Result A total of 153 patients were enrolled, with 33 in the benign group and 120 patients in the malignant group. In the entire study population, FLRV% [OR 4.087 (1.405-11.889), P = 0.010], international normalized ratio (INR) [OR 2.763 (95%CI, 1.008-7.577), P = 0.048] and TBil [OR 2.592 (95%CI, 1.177-5.710), P = 0.018] were independent prognostic factors associated with liver regeneration. In the benign group, only the computed tomography (CT) parameter FLRV% [OR, 11.700 (95%CI, 1.265-108.200), P = 0.030] predicted regeneration. In the malignant group, parenchymal hepatic resection rate (PHRR%) [OR 0.141 (95%CI, 0.040-0.499), P = 0.002] and TBil [OR 3.384 (95%CI, 1.377-8.319), P = 0.008] were independent prognostic factors. Conclusion FLRV%, PHRR%, TBil and INR were predictive factors associated with liver regeneration.
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Affiliation(s)
- Wenzhi Shu
- Zhejiang University School of Medicine, Hangzhou First People's Hospital, Hangzhou, 310006, China
- Zhejiang University School of Medicine, Hangzhou, 310058, China
- Department of Hepatobiliary and Pancreatic Surgery, Hangzhou First People's Hospital, Hangzhou, 310006, China
- Key Laboratory of Integrated Oncology and Intelligent Medicine of Zhejiang Province, Hangzhou, 310006, China
| | - Yisu Song
- Zhejiang University School of Medicine, Hangzhou First People's Hospital, Hangzhou, 310006, China
- Zhejiang University School of Medicine, Hangzhou, 310058, China
- Key Laboratory of Integrated Oncology and Intelligent Medicine of Zhejiang Province, Hangzhou, 310006, China
| | - Zuyuan Lin
- Zhejiang University School of Medicine, Hangzhou First People's Hospital, Hangzhou, 310006, China
- Zhejiang University School of Medicine, Hangzhou, 310058, China
- Key Laboratory of Integrated Oncology and Intelligent Medicine of Zhejiang Province, Hangzhou, 310006, China
| | - Mengfan Yang
- Key Laboratory of Integrated Oncology and Intelligent Medicine of Zhejiang Province, Hangzhou, 310006, China
| | - Binhua Pan
- Zhejiang University School of Medicine, Hangzhou First People's Hospital, Hangzhou, 310006, China
- Key Laboratory of Integrated Oncology and Intelligent Medicine of Zhejiang Province, Hangzhou, 310006, China
| | - Renyi Su
- Zhejiang University School of Medicine, Hangzhou First People's Hospital, Hangzhou, 310006, China
- Zhejiang University School of Medicine, Hangzhou, 310058, China
- Key Laboratory of Integrated Oncology and Intelligent Medicine of Zhejiang Province, Hangzhou, 310006, China
| | - Modan Yang
- Key Laboratory of Integrated Oncology and Intelligent Medicine of Zhejiang Province, Hangzhou, 310006, China
| | - Zhengyang Lu
- Key Laboratory of Integrated Oncology and Intelligent Medicine of Zhejiang Province, Hangzhou, 310006, China
| | - Shusen Zheng
- Shulan (Hangzhou) Hospital, Zhejiang Shuren University School of Medicine, Hangzhou, 310022, China
| | - Xiao Xu
- Zhejiang University School of Medicine, Hangzhou, 310058, China
- Key Laboratory of Integrated Oncology and Intelligent Medicine of Zhejiang Province, Hangzhou, 310006, China
| | - Zhe Yang
- Shulan (Hangzhou) Hospital, Zhejiang Shuren University School of Medicine, Hangzhou, 310022, China
| | - Xuyong Wei
- Department of Hepatobiliary and Pancreatic Surgery, Hangzhou First People's Hospital, Hangzhou, 310006, China
- Key Laboratory of Integrated Oncology and Intelligent Medicine of Zhejiang Province, Hangzhou, 310006, China
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Jiang M, Zheng Z, Wang X, Chen Y, Qu J, Ding Q, Zhang W, Liu YS, Yang J, Tang W, Hou Y, He J, Wang L, Huang P, Li LC, He Z, Gao Q, Lu Q, Wei L, Wang YJ, Ju Z, Fan JG, Ruan XZ, Guan Y, Liu GH, Pei G, Li J, Wang Y. A biomarker framework for liver aging: the Aging Biomarker Consortium consensus statement. LIFE MEDICINE 2024; 3:lnae004. [PMID: 39872390 PMCID: PMC11749002 DOI: 10.1093/lifemedi/lnae004] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/10/2023] [Accepted: 01/29/2024] [Indexed: 01/11/2025]
Abstract
In human aging, liver aging per se not only increases susceptibility to liver diseases but also increases vulnerability of other organs given its central role in regulating metabolism. Total liver function tends to be well maintained in the healthy elderly, so liver aging is generally difficult to identify early. In response to this critical challenge, the Aging Biomarker Consortium of China has formulated an expert consensus on biomarkers of liver aging by synthesizing the latest scientific literature, comprising insights from both scientists and clinicians. This consensus provides a comprehensive assessment of biomarkers associated with liver aging and presents a systematic framework to characterize these into three dimensions: functional, imaging, and humoral. For the functional domain, we highlight biomarkers associated with cholesterol metabolism and liver-related coagulation function. For the imaging domain, we note that hepatic steatosis and liver blood flow can serve as measurable biomarkers for liver aging. Finally, in the humoral domain, we pinpoint hepatokines and enzymatic alterations worthy of attention. The aim of this expert consensus is to establish a foundation for assessing the extent of liver aging and identify early signs of liver aging-related diseases, thereby improving liver health and the healthy life expectancy of the elderly population.
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Affiliation(s)
| | - Mengmeng Jiang
- State Key Laboratory of Membrane Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing 100101, China
| | - Zhuozhao Zheng
- Department of Radiology, Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua University, Beijing 102218, China
| | - Xuan Wang
- Hepatopancreatobiliary Center, Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua University, Beijing 102218, China
| | - Yanhao Chen
- CAS Key Laboratory of Nutrition, Metabolism and Food Safety, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai 200031, China
| | - Jing Qu
- State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China
| | - Qiurong Ding
- CAS Key Laboratory of Nutrition, Metabolism and Food Safety, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai 200031, China
| | - Weiqi Zhang
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing 100101, China
| | - You-Shuo Liu
- Department of Geriatrics, the Second Xiangya Hospital, and the Institute of Aging and Geriatrics, Central South University, Changsha 410011, China
| | - Jichun Yang
- Department of Physiology and Pathophysiology, School of Basic Medical Sciences, State Key Laboratory of Vascular Homeostasis and Remodeling, Center for Non-coding RNA Medicine, Peking University Health Science Center, Beijing 100191, China
| | - Weiqing Tang
- The Key Laboratory of Geriatrics, Beijing Institute of Geriatrics, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology of National Health Commission, Beijing 100730, China
| | - Yunlong Hou
- Yiling Pharmaceutical Academician Workstation, Shijiazhuang 050035, China
| | - Jinhan He
- Department of Pharmacy, West China Hospital of Sichuan University, Chengdu 610041, China
| | - Lin Wang
- Department of Hepatobiliary Surgery, Xijing Hospital, Fourth Military Medical University, Xi’an 710032, China
| | - Pengyu Huang
- State Key Laboratory of Advanced Medical Materials and Devices, Engineering Research Center of Pulmonary and Critical Care Medicine Technology and Device (Ministry of Education), Institute of Biomedical Engineering, Chinese Academy of Medical Science & Peking Union Medical College, Tianjin 300192, China
| | - Lin-Chen Li
- Clinical Translational Science Center, Beijing Tsinghua Changgung Hospital, Tsinghua University, Beijing 102218, China
| | - Zhiying He
- Institute for Regenerative Medicine, Shanghai East Hospital, School of Life Sciences and Technology, Tongji University, Shanghai Engineering Research Center of Stem Cells Translational Medicine, Shanghai 200092, China
| | - Qiang Gao
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Shanghai 200032, China
| | - Qian Lu
- Hepatopancreatobiliary Center, Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua University, Beijing 102218, China
- Key Laboratory of Digital Intelligence Hepatology (Ministry of Education), School of Clinical Medicine, Tsinghua University, Beijing 102218, China
| | - Lai Wei
- Hepatopancreatobiliary Center, Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua University, Beijing 102218, China
| | - Yan-Jiang Wang
- Department of Neurology, Daping Hospital, Third Military Medical University, Chongqing 400042, China
| | - Zhenyu Ju
- Key Laboratory of Regenerative Medicine of Ministry of Education, Institute of Aging and Regenerative Medicine, Jinan University, Guangzhou 510632, China
| | - Jian-Gao Fan
- Department of Gastroenterology, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai 200092, China
| | - Xiong Zhong Ruan
- Centre for Lipid Research & Key Laboratory of Molecular Biology for Infectious Diseases (Ministry of Education), Institute for Viral Hepatitis, Department of Infectious Diseases, the Second Affiliated Hospital, Chongqing Medical University, Chongqing 400016, China
| | - Youfei Guan
- Advanced Institute for Medical Sciences, Dalian Medical University, Dalian 116044, China
| | - Guang-Hui Liu
- State Key Laboratory of Membrane Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing 100101, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Gang Pei
- Collaborative Innovation Center for Brain Science, School of Life Science and Technology, Tongji University, Shanghai 200092, China
| | - Jian Li
- The Key Laboratory of Geriatrics, Beijing Institute of Geriatrics, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology of National Health Commission, Beijing 100730, China
| | - Yunfang Wang
- Hepatopancreatobiliary Center, Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua University, Beijing 102218, China
- Clinical Translational Science Center, Beijing Tsinghua Changgung Hospital, Tsinghua University, Beijing 102218, China
- Key Laboratory of Digital Intelligence Hepatology (Ministry of Education), School of Clinical Medicine, Tsinghua University, Beijing 102218, China
- Research Unit of Precision Hepatobiliary Surgery Paradigm, Chinese Academy of Medical Sciences, Beijing 102218, China
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Ghanie A, Formica MK, Dhir M. Systematic review and meta-analysis of 90-day and 30-day mortality after liver resection in the elderly. Surgery 2022; 172:1164-1173. [PMID: 35973874 DOI: 10.1016/j.surg.2022.05.032] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2021] [Revised: 05/22/2022] [Accepted: 05/30/2022] [Indexed: 11/30/2022]
Abstract
BACKGROUND With the aging population worldwide, the number of elderly patients presenting for liver resection because of liver malignancies is increasing. Data on the perioperative mortality in this population are limited and contradictory. We performed a systematic review and meta-analysis to determine the mortality of elderly patients after hepatectomy. METHODS Using the Preferred Reporting Items for Systematic reviews and Meta-Analyses 2020 guidelines, we searched 3 databases to identify studies that investigated 30-day and 90-day mortality after hepatectomy for patients ≥65 years of age. We categorized the patients by age into 4 groups (≥65, ≥70, ≥75, and ≥80 years), which were analyzed separately for mortality. All analyses were conducted with IBM SPSS Statistics for Windows version 28. RESULTS Using PubMed, Embase, and Scopus, we identified 441 articles. After study selection and quality assessment, we included 66 studies consisting of 29,998 patients in the final meta-analysis. The pooled estimates for 30-day and 90-day mortality in the ≥65, ≥70, ≥75, and ≥80 age groups years were 1.3% (95% confidence interval 0.59%-2.06%), 2.8% (95% confidence interval 1.80%-3.69%), 3.0% (95% confidence interval 1.68%-4.30%), and 1.7% (95% confidence interval 1.22%-2.20%) and 2.7% (95% confidence interval 1.45%-3.87%), 2.8% (95% confidence interval 1.49%-4.02%), 5.1% (95% confidence interval 2.76%-7.42%), and 2.4% (95% confidence interval 0.60%-4.16%), respectively. CONCLUSION This meta-analysis summarizes the 30-day and 90-day mortality rates after liver resection in the elderly patients. Liver resection in this population selected for surgery appears to be relatively safe. Advanced age alone may not be a sufficient exclusion criterion for surgery. These age-specific mortality data can be used to educate patients at the time of preoperative counseling.
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Affiliation(s)
- Amanda Ghanie
- College of Medicine, SUNY Upstate Medical University, Syracuse, NY. http://www.twitter.com/GhanieAmanda
| | - Margaret K Formica
- Department of Public Health and Preventive Medicine, SUNY Upstate Medical University, Syracuse, NY
| | - Mashaal Dhir
- Department of Surgery, Division of Surgical Oncology, SUNY Upstate Medical University, Syracuse, NY.
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Goikoetxea‐Usandizaga N, Serrano‐Maciá M, Delgado TC, Simón J, Fernández Ramos D, Barriales D, Cornide M, Jiménez M, Pérez‐Redondo M, Lachiondo‐Ortega S, Rodríguez‐Agudo R, Bizkarguenaga M, Zalamea JD, Pasco ST, Caballero‐Díaz D, Alfano B, Bravo M, González‐Recio I, Mercado‐Gómez M, Gil‐Pitarch C, Mabe J, Gracia‐Sancho J, Abecia L, Lorenzo Ó, Martín‐Sanz P, Abrescia NGA, Sabio G, Rincón M, Anguita J, Miñambres E, Martín C, Berenguer M, Fabregat I, Casado M, Peralta C, Varela‐Rey M, Martínez‐Chantar ML. Mitochondrial bioenergetics boost macrophage activation, promoting liver regeneration in metabolically compromised animals. Hepatology 2022; 75:550-566. [PMID: 34510498 PMCID: PMC9300136 DOI: 10.1002/hep.32149] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/05/2021] [Revised: 08/11/2021] [Accepted: 08/24/2021] [Indexed: 12/17/2022]
Abstract
BACKGROUND AND AIMS Hepatic ischemia-reperfusion injury (IRI) is the leading cause of early posttransplantation organ failure as mitochondrial respiration and ATP production are affected. A shortage of donors has extended liver donor criteria, including aged or steatotic livers, which are more susceptible to IRI. Given the lack of an effective treatment and the extensive transplantation waitlist, we aimed at characterizing the effects of an accelerated mitochondrial activity by silencing methylation-controlled J protein (MCJ) in three preclinical models of IRI and liver regeneration, focusing on metabolically compromised animal models. APPROACH AND RESULTS Wild-type (WT), MCJ knockout (KO), and Mcj silenced WT mice were subjected to 70% partial hepatectomy (Phx), prolonged IRI, and 70% Phx with IRI. Old and young mice with metabolic syndrome were also subjected to these procedures. Expression of MCJ, an endogenous negative regulator of mitochondrial respiration, increases in preclinical models of Phx with or without vascular occlusion and in donor livers. Mice lacking MCJ initiate liver regeneration 12 h faster than WT and show reduced ischemic injury and increased survival. MCJ knockdown enables a mitochondrial adaptation that restores the bioenergetic supply for enhanced regeneration and prevents cell death after IRI. Mechanistically, increased ATP secretion facilitates the early activation of Kupffer cells and production of TNF, IL-6, and heparin-binding EGF, accelerating the priming phase and the progression through G1 /S transition during liver regeneration. Therapeutic silencing of MCJ in 15-month-old mice and in mice fed a high-fat/high-fructose diet for 12 weeks improves mitochondrial respiration, reduces steatosis, and overcomes regenerative limitations. CONCLUSIONS Boosting mitochondrial activity by silencing MCJ could pave the way for a protective approach after major liver resection or IRI, especially in metabolically compromised, IRI-susceptible organs.
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Affiliation(s)
- Naroa Goikoetxea‐Usandizaga
- Liver Disease Lab, Center for Cooperative Research in Biosciences (CIC bioGUNE)Basque Research and Technology AllianceDerioSpain
| | - Marina Serrano‐Maciá
- Liver Disease Lab, Center for Cooperative Research in Biosciences (CIC bioGUNE)Basque Research and Technology AllianceDerioSpain
| | - Teresa C. Delgado
- Liver Disease Lab, Center for Cooperative Research in Biosciences (CIC bioGUNE)Basque Research and Technology AllianceDerioSpain
| | - Jorge Simón
- Liver Disease Lab, Center for Cooperative Research in Biosciences (CIC bioGUNE)Basque Research and Technology AllianceDerioSpain
| | - David Fernández Ramos
- Precision Medicine and Liver Metabolism Lab, Center for Cooperative Research in Biosciences (CIC bioGUNE)Basque Research and Technology AllianceDerioSpain
- Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBERehd)Carlos III National Health InstituteMadridSpain
| | - Diego Barriales
- Inflammation and Macrophage Plasticity LaboratoryCenter for Cooperative Research in Biosciences (CIC bioGUNE)Basque Research and Technology AllianceDerioSpain
| | - Maria E. Cornide
- Liver, Digestive System and Metabolism Department, Liver Transplantation and Graft Viability LabInstituto de Investigaciones Biomédicas August Pi i Sunyer (IDIBAPS)BarcelonaSpain
| | - Mónica Jiménez
- Liver, Digestive System and Metabolism Department, Liver Transplantation and Graft Viability LabInstituto de Investigaciones Biomédicas August Pi i Sunyer (IDIBAPS)BarcelonaSpain
| | | | - Sofia Lachiondo‐Ortega
- Liver Disease Lab, Center for Cooperative Research in Biosciences (CIC bioGUNE)Basque Research and Technology AllianceDerioSpain
| | - Rubén Rodríguez‐Agudo
- Liver Disease Lab, Center for Cooperative Research in Biosciences (CIC bioGUNE)Basque Research and Technology AllianceDerioSpain
| | - Maider Bizkarguenaga
- Precision Medicine and Liver Metabolism Lab, Center for Cooperative Research in Biosciences (CIC bioGUNE)Basque Research and Technology AllianceDerioSpain
| | - Juan Diego Zalamea
- Structure and Cell Biology of Viruses Lab Center for Cooperative Research in Biosciences (CIC bioGUNE)Basque Research and Technology AllianceDerioSpain
| | - Samuel T. Pasco
- Inflammation and Macrophage Plasticity LaboratoryCenter for Cooperative Research in Biosciences (CIC bioGUNE)Basque Research and Technology AllianceDerioSpain
| | - Daniel Caballero‐Díaz
- Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBERehd)Carlos III National Health InstituteMadridSpain
- TGF‐β and Cancer GroupOncobell ProgramBellvitge Biomedical Research Institute (IDIBELL)Gran Via de L’HospitaletBarcelonaSpain
| | - Benedetta Alfano
- Liver Disease Lab, Center for Cooperative Research in Biosciences (CIC bioGUNE)Basque Research and Technology AllianceDerioSpain
| | - Miren Bravo
- Liver Disease Lab, Center for Cooperative Research in Biosciences (CIC bioGUNE)Basque Research and Technology AllianceDerioSpain
| | - Irene González‐Recio
- Liver Disease Lab, Center for Cooperative Research in Biosciences (CIC bioGUNE)Basque Research and Technology AllianceDerioSpain
| | - Maria Mercado‐Gómez
- Liver Disease Lab, Center for Cooperative Research in Biosciences (CIC bioGUNE)Basque Research and Technology AllianceDerioSpain
| | - Clàudia Gil‐Pitarch
- Liver Disease Lab, Center for Cooperative Research in Biosciences (CIC bioGUNE)Basque Research and Technology AllianceDerioSpain
| | - Jon Mabe
- Electronics and Communications Unit, IK4‐TeknikerEibarSpain
| | - Jordi Gracia‐Sancho
- Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBERehd)Carlos III National Health InstituteMadridSpain
- Liver Vascular Biology Research GroupIDIBAPSBarcelonaSpain
| | - Leticia Abecia
- Inflammation and Macrophage Plasticity LaboratoryCenter for Cooperative Research in Biosciences (CIC bioGUNE)Basque Research and Technology AllianceDerioSpain
- Immunology, Microbiology and Parasitology Department, Medicine and Nursing FacultyUniversity of the Basque CountryLeioaSpain
| | - Óscar Lorenzo
- Laboratory of Diabetes and Vascular PathologyIIS‐Fundación Jiménez Díaz‐Universidad Autónoma de Madrid, Spanish Biomedical Research Centre on Diabetes and Associated Metabolic Disorders (CIBERDEM) NetworkMadridSpain
| | - Paloma Martín‐Sanz
- Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBERehd)Carlos III National Health InstituteMadridSpain
- Cell Signalling and Metabolism DepartmentInstituto de Investigaciones Biomédicas “Alberto Sols,” CSIC‐UAMMadridSpain
| | - Nicola G. A. Abrescia
- Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBERehd)Carlos III National Health InstituteMadridSpain
- Structure and Cell Biology of Viruses Lab Center for Cooperative Research in Biosciences (CIC bioGUNE)Basque Research and Technology AllianceDerioSpain
- IKERBASQUEBasque Foundation for ScienceBilbaoSpain
| | - Guadalupe Sabio
- Centro Nacional de Investigaciones CardiovascularesStress Kinases in Diabetes, Cancer and BiochemistryMadridSpain
| | - Mercedes Rincón
- Department of MedicineImmunobiology DivisionUniversity of VermontBurlingtonVermontUSA
| | - Juan Anguita
- Inflammation and Macrophage Plasticity LaboratoryCenter for Cooperative Research in Biosciences (CIC bioGUNE)Basque Research and Technology AllianceDerioSpain
- IKERBASQUEBasque Foundation for ScienceBilbaoSpain
| | - Eduardo Miñambres
- Transplant Coordination Unit, Marqués de Valdecilla University Hospital–IDIVAL, Cantabria UniversitySantanderSpain
| | - César Martín
- Biofisika Institute, Centro Superior de Investigaciones Científicas, and Department of Biochemisty, Faculty of Science and TechnologyUniversity of Basque CountryLeioaSpain
| | - Marina Berenguer
- Liver UnitHospital Universitario y Politécnico La FeValenciaSpain
| | - Isabel Fabregat
- Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBERehd)Carlos III National Health InstituteMadridSpain
- TGF‐β and Cancer GroupOncobell ProgramBellvitge Biomedical Research Institute (IDIBELL)Gran Via de L’HospitaletBarcelonaSpain
- Faculty of Medicine and Health SciencesUniversity of BarcelonaL’HospitaletBarcelonaSpain
| | - Marta Casado
- Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBERehd)Carlos III National Health InstituteMadridSpain
- Experimental Metabolic Pathology DepartmentInstituto de Biomedicina de ValenciaIBV‐CSICValenciaSpain
| | - Carmen Peralta
- Liver, Digestive System and Metabolism Department, Liver Transplantation and Graft Viability LabInstituto de Investigaciones Biomédicas August Pi i Sunyer (IDIBAPS)BarcelonaSpain
| | - Marta Varela‐Rey
- Liver Disease Lab, Center for Cooperative Research in Biosciences (CIC bioGUNE)Basque Research and Technology AllianceDerioSpain
- Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBERehd)Carlos III National Health InstituteMadridSpain
| | - María Luz Martínez‐Chantar
- Liver Disease Lab, Center for Cooperative Research in Biosciences (CIC bioGUNE)Basque Research and Technology AllianceDerioSpain
- Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBERehd)Carlos III National Health InstituteMadridSpain
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Olthof PB, van Dam R, Jovine E, Campos RR, de Santibañes E, Oldhafer K, Malago M, Abdalla EK, Schadde E. Accuracy of estimated total liver volume formulas before liver resection. Surgery 2019; 166:247-253. [PMID: 31204072 DOI: 10.1016/j.surg.2019.05.003] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2019] [Revised: 05/06/2019] [Accepted: 05/06/2019] [Indexed: 12/12/2022]
Abstract
BACKGROUND Future remnant liver volume is used to predict the risk for liver failure in patients who will undergo major liver resection. Formulas to estimate total liver volume based on biometric data are widely used to calculate future remnant liver volume; however, it remains unclear which formula is most accurate. This study evaluated published estimate total liver volume formulas to determine which formula best predicts the actual future remnant liver volume based on measurements in a large number of patients who underwent associating liver partition and portal vein ligation for staged hepatectomy surgery. METHODS All patients with complete liver volume data in the associating liver partition and portal vein ligation for staged hepatectomy registry were included in this study. Estimate total liver volume and estimated future remnant liver volume were calculated for 16 published formulas. The median over- or underestimation compared with actual measured volumes were determined for estimate total liver volume and future remnant liver volume. The proportion of patients with an under- or overestimated future remnant liver volume for each formula were compared with each other using a 25% cut-off for each formula. RESULTS Among 529 studied patients, the formulas ranged from a 19% underestimation to a 63% overestimation of estimate total liver volume. Estimation of future remnant liver volume lead to a 10% underestimation to a 5% overestimation among the formulas. Of all studied formulas, the Vauthey1 formula was the most accurate, generating underestimation of future remnant liver volume in 20% and overestimation of future remnant liver volume in 6% of patients. CONCLUSION Validation of 16 published total liver volume formulas in a multicenter international cohort of 529 patients that underwent staged hepatectomy revealed that the Vauthey formula (estimate total liver volume = 18.51 × body weight + 191.8) provides the most accurate prediction of the actual future remnant liver volume.
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Affiliation(s)
- Pim B Olthof
- Department of Surgery, Reinier de Graaf Gasthuis, Delft, the Netherlands; Department of Surgery, Academic Medical Center, University of Amsterdam, Amsterdam, the Netherlands.
| | - Ronald van Dam
- Department of Surgery, Maastricht University Medical Center, Maastricht, the Netherlands, and Universitätsklinikum Aachen, Aachen, Germany
| | - Elio Jovine
- Department of Surgery, C. A. Pizzardi Maggiore Hospital, Bologna, Italy
| | | | | | - Karl Oldhafer
- Department of General, Visceral and Oncological Surgery, Asklepios Klinik Barmbek, Hamburg, Germany
| | - Massimo Malago
- Department of HPB and Liver Transplant Surgery, Royal Free Hospital, University College London, London, UK
| | - Eddie K Abdalla
- Department of Hepato-Pancreato-Biliary Surgery, Northside Hospital Cancer Institute, Atlanta, GA
| | - Erik Schadde
- Institute of Physiology, Center for Integrative Human Physiology, University of Zurich, Zurich, Switzerland; Department of Surgery, Cantonal Hospital Winterthur, Winterthur, Switzerland; Department of Surgery, Rush University Medical Center, Chicago, IL
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6
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Gong WF, Zhong JH, Lu Z, Zhang QM, Zhang ZY, Chen CZ, Liu X, Ma L, Zhang ZM, Xiang BD, Li LQ. Evaluation of liver regeneration and post-hepatectomy liver failure after hemihepatectomy in patients with hepatocellular carcinoma. Biosci Rep 2019; 39:BSR20190088. [PMID: 31383787 PMCID: PMC6706596 DOI: 10.1042/bsr20190088] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2019] [Revised: 07/03/2019] [Accepted: 07/30/2019] [Indexed: 02/06/2023] Open
Abstract
Aim: To explore clinical factors associated with extent of liver regeneration after hemihepatectomy to treat hepatocellular carcinoma (HCC).Methods: Future liver remnant volume (as a percentage of functional liver volume, %FLRV) and remnant liver volume were measured preoperatively and at 1, 5, 9, and 13 weeks postoperatively.Results: After hepatectomy, 1 of 125 patients (0.8%) died within 3 months, 13 (10.4%) experienced liver failure, and 99 (79.2%) experienced complications. %FLRV was able to predict liver failure with an area under the receiver operating characteristic curve of 0.900, and a cut-off value of 42.7% showed sensitivity of 85.7% and specificity of 88.6%. Postoperative median growth ratio was 21.3% at 1 week, 30.9% at 5 weeks, 34.6% at 9 weeks, and 37.1% at 13 weeks. Multivariate analysis identified three predictors associated with liver regeneration: FLRV < 601 cm3, %FLRV, and liver cirrhosis. At postoperative weeks (POWs) 1 and 5, liver function indicators were significantly better among patients showing high extent of regeneration than among those showing low extent, but these differences disappeared by POW 9.Conclusions: FLRV, %FLRV, and liver cirrhosis strongly influence extent of liver regeneration after hepatectomy. %FLRV values below 42.7% are associated with greater risk of post-hepatectomy liver failure.
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Affiliation(s)
- Wen-Feng Gong
- Hepatobiliary Surgery Department, Affiliated Tumor Hospital of Guangxi Medical University, Nanning, China
- Guangxi Liver Cancer Diagnosis and Treatment Engineering and Technology Research Center, Nanning, China
| | - Jian-Hong Zhong
- Hepatobiliary Surgery Department, Affiliated Tumor Hospital of Guangxi Medical University, Nanning, China
- Guangxi Liver Cancer Diagnosis and Treatment Engineering and Technology Research Center, Nanning, China
| | - Zhan Lu
- Hepatobiliary Surgery Department, Affiliated Tumor Hospital of Guangxi Medical University, Nanning, China
| | - Qiu-Ming Zhang
- General Medicine Department, The First People's Hospital of Qinzhou, Qinzhou, China
| | - Zhi-Yuan Zhang
- Hepatobiliary Surgery Department, The Fifth Affiliated Hospital of Guangxi Medical University, Guigang, China
| | - Chang-Zhi Chen
- Hepatobiliary Surgery Department, Affiliated Tumor Hospital of Guangxi Medical University, Nanning, China
| | - Xu Liu
- Hepatobiliary Surgery Department, Affiliated Tumor Hospital of Guangxi Medical University, Nanning, China
| | - Liang Ma
- Hepatobiliary Surgery Department, Affiliated Tumor Hospital of Guangxi Medical University, Nanning, China
- Guangxi Liver Cancer Diagnosis and Treatment Engineering and Technology Research Center, Nanning, China
| | - Zhi-Ming Zhang
- Hepatobiliary Surgery Department, Affiliated Tumor Hospital of Guangxi Medical University, Nanning, China
- Guangxi Liver Cancer Diagnosis and Treatment Engineering and Technology Research Center, Nanning, China
| | - Bang-De Xiang
- Hepatobiliary Surgery Department, Affiliated Tumor Hospital of Guangxi Medical University, Nanning, China
- Guangxi Liver Cancer Diagnosis and Treatment Engineering and Technology Research Center, Nanning, China
| | - Le-Qun Li
- Hepatobiliary Surgery Department, Affiliated Tumor Hospital of Guangxi Medical University, Nanning, China
- Guangxi Liver Cancer Diagnosis and Treatment Engineering and Technology Research Center, Nanning, China
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7
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Liu B, Anno K, Kobayashi T, Piao J, Tahara H, Ohdan H. Influence of donor liver telomere and G-tail on clinical outcome after living donor liver transplantation. PLoS One 2019; 14:e0213462. [PMID: 30845248 PMCID: PMC6405121 DOI: 10.1371/journal.pone.0213462] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2018] [Accepted: 02/19/2019] [Indexed: 11/26/2022] Open
Abstract
It has been reported that donor age affects patient outcomes after liver transplantation, and that telomere length is associated with age. However, to our knowledge, the impact of donor age and donor liver telomere length in liver transplantation has not been well investigated. This study aimed to clarify the influence of the length of telomere and G-tail from donor livers on the outcomes of living donors and recipients after living donor liver transplantation. The length of telomere and G-tail derived from blood samples and liver tissues of 55 living donors, measured using the hybridization protection assay. The length of telomeres from blood samples was inversely correlated with ages, whereas G-tail length from blood samples and telomere and G-tail lengths from liver tissues were not correlated with ages. Age, telomere, and G-tail length from blood did not affect postoperative liver failure and early liver regeneration of donors. On the other hand, the longer the liver telomere, the poorer the liver regeneration tended to be, especially with significant difference in donor who underwent right hemihepatectomy. We found that the survival rate of recipients who received liver graft with longer telomeres was inferior to that of those who received liver graft with shorter ones. An elderly donor, longer liver telomere, and higher Model for End-Stage Liver Disease score were identified as independent risk factors for recipient survival after transplantation. In conclusion, telomere shortening in healthy liver does not correlate with age, whereas longer liver telomeres negatively influence donor liver regeneration and recipient survival after living donor liver transplantation. These results can direct future studies and investigations on telomere shortening in the clinical and experimental transplant setting.
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Affiliation(s)
- Biou Liu
- Department of Gastroenterological and Transplant Surgery, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan
| | - Kumiko Anno
- Department of Cellular and Molecular Biology, Graduate School of Pharmaceutical Sciences, Hiroshima University, Hiroshima, Japan
| | - Tsuyoshi Kobayashi
- Department of Gastroenterological and Transplant Surgery, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan
- * E-mail:
| | - Jinlian Piao
- Department of Gastroenterological and Transplant Surgery, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan
| | - Hidetoshi Tahara
- Department of Cellular and Molecular Biology, Graduate School of Pharmaceutical Sciences, Hiroshima University, Hiroshima, Japan
| | - Hideki Ohdan
- Department of Gastroenterological and Transplant Surgery, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan
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8
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Hasselgren K, Malagò M, Vyas S, Campos RR, Brusadin R, Linecker M, Petrowsky H, Clavien PA, Machado MA, Hernandez-Alejandro R, Wanis K, Valter L, Sandström P, Björnsson B. Neoadjuvant chemotherapy does not affect future liver remnant growth and outcomes of associating liver partition and portal vein ligation for staged hepatectomy. Surgery 2017; 161:1255-1265. [PMID: 28081953 DOI: 10.1016/j.surg.2016.11.033] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2016] [Revised: 11/09/2016] [Accepted: 11/30/2016] [Indexed: 12/12/2022]
Abstract
BACKGROUND The only potentially curative treatment for patients with colorectal liver metastases is hepatectomy. Associating liver partition and portal vein ligation for staged hepatectomy has emerged as a method of treatment for patients with inadequate future liver remnant. One concern about associating liver partition and portal vein ligation for staged hepatectomy is that preoperative chemotherapy may negatively affect the volume increase of the future liver remnant and outcomes. METHODS This study from the International Associating Liver Partition and Portal Vein Ligation for Staged Hepatectomy Registry (NCT01924741) includes 442 patients with colorectal liver metastases registered from 2012-2016. Future liver remnant hypertrophy (absolute increase, percent increase, and kinetic growth rate) and clinical outcome were analyzed retrospectively in relation to type and amount of chemotherapy. The analyzed groups included patients with no chemotherapy, 1 regimen of chemotherapy, >1 regimen, and a group that received monoclonal antibodies in addition to chemotherapy. RESULTS Ninety percent of the patients received neoadjuvant oncologic therapy including 42% with 1 regimen of chemotherapy, 44% with monoclonal antibodies, and 4% with >1 regimen. Future liver remnant increased between 74-92% with the largest increase in the group with 1 regimen of chemotherapy. The increase in milliliters was between 241 mL (>1 regimen) and 306 mL (1 regimen). Kinetic growth rate was between 14-18% per week and was greatest for the group with 1 regimen of chemotherapy. No statistical significance was found between the groups with any of the measurements of future liver remnant hypertrophy. CONCLUSION Neoadjuvant chemotherapy, including monoclonal antibodies, does not negatively affect future liver remnant growth. Patients with colorectal liver metastases who might be potential candidates for associating liver partition and portal vein ligation for staged hepatectomy should be considered for neoadjuvant chemotherapy.
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Affiliation(s)
- Kristina Hasselgren
- Department of Surgery and Department of Clinical and Experimental Medicine, Linköping University, Linköping, Sweden
| | - Massimo Malagò
- Department of Hepatopancreaticobiliary Surgery and Liver Transplantation, Division of Surgical and Interventional Sciences, University College London, Royal Free Hospital, London, United Kingdom
| | - Soumil Vyas
- Department of Hepatopancreaticobiliary Surgery and Liver Transplantation, Division of Surgical and Interventional Sciences, University College London, Royal Free Hospital, London, United Kingdom
| | - Ricardo Robles Campos
- Department of General Surgery, Liver Transplant Unit, Virgen De La Arrixaca University Hospital, Murcia, Spain
| | - Roberto Brusadin
- Department of General Surgery, Liver Transplant Unit, Virgen De La Arrixaca University Hospital, Murcia, Spain
| | - Michael Linecker
- Department of Surgery and Transplantation, Swiss Hepatopancreaticobiliary and Transplant Center Zürich, University Hospital Zürich, Zürich, Switzerland
| | - Henrik Petrowsky
- Department of Surgery and Transplantation, Swiss Hepatopancreaticobiliary and Transplant Center Zürich, University Hospital Zürich, Zürich, Switzerland
| | - Pierre Alain Clavien
- Department of Surgery and Transplantation, Swiss Hepatopancreaticobiliary and Transplant Center Zürich, University Hospital Zürich, Zürich, Switzerland
| | | | | | - Kerollos Wanis
- Department of Surgery, Western University, London, Ontario, Canada
| | - Lars Valter
- Research and Development Unit in Local Healthcare, Linköping University, Linköping, Sweden
| | - Per Sandström
- Department of Surgery and Department of Clinical and Experimental Medicine, Linköping University, Linköping, Sweden
| | - Bergthor Björnsson
- Department of Surgery and Department of Clinical and Experimental Medicine, Linköping University, Linköping, Sweden.
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9
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Comparable liver function and volume increase after portal vein embolization in rabbits and humans. Surgery 2017; 161:658-665. [DOI: 10.1016/j.surg.2016.08.039] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2016] [Revised: 08/13/2016] [Accepted: 08/30/2016] [Indexed: 12/12/2022]
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10
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Olthof PB, Cieslak KP, Bennink RJ, van Gulik TM. Functional hepatocellular regeneration measured by hepatobiliary scintigraphy, functional regeneration or functional hepatocytes? Liver Int 2016; 36:463. [PMID: 26414913 DOI: 10.1111/liv.12973] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/13/2023]
Affiliation(s)
- Pim B Olthof
- Department of Experimental Surgery, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands
| | - Kasia P Cieslak
- Department of Experimental Surgery, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands
| | - Roelof J Bennink
- Department of Nuclear Medicine, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands
| | - Thomas M van Gulik
- Department of Experimental Surgery, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands
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11
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Biological Substrate of the Rapid Volumetric Changes Observed in the Human Liver During the Associating Liver Partition and Portal Vein Ligation for Staged Hepatectomy Approach. J Gastrointest Surg 2016; 20:546-53. [PMID: 26487329 DOI: 10.1007/s11605-015-2982-1] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/07/2015] [Accepted: 10/10/2015] [Indexed: 01/31/2023]
Abstract
BACKGROUND The associating liver partition and portal vein ligation for staged hepatectomy (ALPPS) strategy induces rapid future liver remnant (FLR) hypertrophy. Hepatocyte cellular and molecular changes associated with liver hypertrophy during ALPPS remain ill-defined in humans. METHODS Patients undergoing the ALPPS approach between June 2011 and October 2014 were extracted. Biopsies from the FLR were obtained during the first and second stages. Hematoxylin-eosin staining and immunohistochemical analysis for expression of the proliferating cell nuclear antigen (PCNA) and terminal deoxynucleotidyl transferase dUTP nick end labeling (TUNEL) were performed. The proliferative index was defined as: PCNA-TUNEL ratio. RESULTS Eleven of 34 patients treated were studied during both stages. Median FLR hypertrophy was 104 % in 6 days, with a mean difference between preoperative and postoperative volume of 361 ml (P < 0.001). The mean hepatocyte number increased from 52.7 cells/mm(2) in the first stage to 89.6 cells/mm(2) in the second stage (P = 0.001). PCNA expression increased by 190 % between stages with a linear correlation (r = 0.58) with macroscopic hypertrophy. The proliferative index increased from -3.78 cells/mm(2) in first stage to 2.32 cells/mm(2) in the second stage (P = 0.034). CONCLUSIONS The results of the present study indicate that the rapid FLR volumetric increase observed in ALPPS is accompanied by histological and molecular features of hepatocyte cell proliferation.
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