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Yang Z, Yan F, Yuan J, Yang M, Wang J, You C, Ren K. Human umbilical cord mesenchymal stem cell-derived exosome ameliorate doxorubicin-induced senescence. Exp Cell Res 2025; 447:114450. [PMID: 39988122 DOI: 10.1016/j.yexcr.2025.114450] [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: 09/04/2024] [Revised: 01/08/2025] [Accepted: 02/14/2025] [Indexed: 02/25/2025]
Abstract
BACKGROUND Cellular senescence refers to a condition where cells permanently cease division while maintaining metabolic activity. Doxorubicin (Dox) is known as an agent of induction of cellular senescence. This study aimed to explore the potential role of human umbilical cord mesenchymal stem cell-derived exosomes (hucMSC-Exo) in mitigating Dox induced senescent. METHOD NIH3T3 cells were treated by various concentrations of Dox with or without hucMSC-Exo, cell morphology, viability, migration, senescence-associated SA-β-Gal staining were monitored. Cellular senescence was induced in C57BL/6J mice via administration of 5 mg/kg Doxorubicin, followed by treatment with hucMSC-Exo or metformin. Assessments included body weight, liver and kidney weight, colon length, SA-β-Gal staining of kidney and skin, molecular biomarkers of aging such as p16INK4A, p53, and p21Waf1/Clip1 to evaluate senescence status. RESULT We found that after the treatment of exosomes or metformin improved several aging-related phenotypes in both mouse and cellular models, including increases in body weight, liver and kidney weights, and the reduction of SA-β-Gal positive cells in kidney and skin tissues as well as cell models. At the molecular level, hucMSC-Exo resulted in the downregulation of inflammatory factors and senescence markers in liver and kidney tissues as well as cell models. CONCLUSION Our study demonstrates hucMSC-Exo may ameliorate Dox induced senescence either in NIH3T3 cells or in mice.
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Affiliation(s)
- Zhen Yang
- The Key Laboratory of Model Animals and Stem Cell Biology in Hunan Province, Medical College, Hunan Normal University, Changsha, 410013, China; The Key Laboratory of Study and Discover of Small Targeted Molecules of Hunan Province, Medical College, Hunan Normal University, Changsha, 410013, China.
| | - Feng Yan
- Hunan Landfar Amspring Biotechnology Co., Ltd., Changsha, 410217, China.
| | - Jiangwei Yuan
- The Key Laboratory of Model Animals and Stem Cell Biology in Hunan Province, Medical College, Hunan Normal University, Changsha, 410013, China; The Key Laboratory of Study and Discover of Small Targeted Molecules of Hunan Province, Medical College, Hunan Normal University, Changsha, 410013, China.
| | - Manjun Yang
- Hunan Landfar Amspring Biotechnology Co., Ltd., Changsha, 410217, China.
| | - Jinyu Wang
- The Key Laboratory of Model Animals and Stem Cell Biology in Hunan Province, Medical College, Hunan Normal University, Changsha, 410013, China; The Key Laboratory of Study and Discover of Small Targeted Molecules of Hunan Province, Medical College, Hunan Normal University, Changsha, 410013, China.
| | - Changqiao You
- Hunan Landfar Amspring Biotechnology Co., Ltd., Changsha, 410217, China.
| | - Kaiqun Ren
- The Key Laboratory of Model Animals and Stem Cell Biology in Hunan Province, Medical College, Hunan Normal University, Changsha, 410013, China; The Key Laboratory of Study and Discover of Small Targeted Molecules of Hunan Province, Medical College, Hunan Normal University, Changsha, 410013, China.
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Sung S, Al-Karaghouli M, Tam M, Wong YJ, Jayakumar S, Davyduke T, Ma M, Abraldes JG. Age-dependent differences in FIB-4 predictions of fibrosis in patients with MASLD referred from primary care. Hepatol Commun 2025; 9:e0609. [PMID: 39670870 PMCID: PMC11637747 DOI: 10.1097/hc9.0000000000000609] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/02/2024] [Accepted: 10/30/2024] [Indexed: 12/14/2024] Open
Abstract
BACKGROUND Fibrosis 4 (FIB-4) is widely used to triage patients with metabolic dysfunction-associated steatotic liver disease. Given that age is part of FIB-4, higher scores may be expected in the elderly population. This led to the proposal of using a higher threshold of FIB-4 to triage patients aged ≥65. Our main objective is to evaluate how age modifies the association between the FIB-4 index and disease severity based on the vibration-controlled transient elastography (VCTE) "rule of 5s." METHODS In this cross-sectional study, we prospectively analyzed data from a primary care referral pathway. We used liver stiffness measurement by VCTE as a reference standard for liver risk. We modeled with ordinal regression the exceedance probabilities of finding different liver stiffness measurement thresholds according to FIB-4, and how age modifies FIB-4 predictions. RESULTS Nine hundred eighty-five participants with complete data were used for modeling. Participants aged ≥65 had a higher prevalence of advanced liver disease estimated by VCTE and higher FIB-4 values than those <65 (85.9% vs. 20.2% for FIB-4 ≥1.3, and 46.5% vs. 6.5% for FIB-4 ≥2.0). In participants age ≥65, the negative predictive value for VCTE ≥10 kPa of FIB-4 <1.3 was 100% versus FIB-4 <2.0 was 83%. Age significantly modified FIB-4-based prediction of fibrosis, but predictions at a threshold of 1.3 or 2 were only minimally altered. For higher FIB-4 threshold (ie, 2.7), age strongly modified FIB-4 predictions of liver stiffness measurement. CONCLUSIONS Age does not relevantly modify FIB-4 predictions when using the common threshold of 1.3. Our data suggest no rationale for increasing the FIB-4 threshold to 2 for undergoing further testing in patients aged ≥65. However, the meaning of a FIB-4 of 2.7 strongly changes with age. This cutoff for ages over 65 is not enough to define high-risk and would not warrant direct referral.
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Affiliation(s)
- Shuen Sung
- Faculty of Medicine and Dentistry, Department of Medicine, University of Alberta, Edmonton, Alberta, Canada
- Division of Gastroenterology, Department of Medicine, Liver Unit, University of Alberta, Edmonton, Alberta, Canada
| | - Mustafa Al-Karaghouli
- Faculty of Medicine and Dentistry, Department of Medicine, University of Alberta, Edmonton, Alberta, Canada
- Division of Gastroenterology, Department of Medicine, Liver Unit, University of Alberta, Edmonton, Alberta, Canada
| | - Matthew Tam
- Faculty of Medicine and Dentistry, Department of Medicine, University of Alberta, Edmonton, Alberta, Canada
| | - Yu Jun Wong
- Department of Gastroenterology and Hepatology, Changi General Hospital, Singapore
| | - Saumya Jayakumar
- Faculty of Medicine and Dentistry, Department of Medicine, University of Alberta, Edmonton, Alberta, Canada
- Division of Gastroenterology, Department of Medicine, Liver Unit, University of Alberta, Edmonton, Alberta, Canada
| | - Tracy Davyduke
- Clinical Services, Alberta Health Services, Edmonton, Alberta, Canada
| | - Mang Ma
- Faculty of Medicine and Dentistry, Department of Medicine, University of Alberta, Edmonton, Alberta, Canada
- Division of Gastroenterology, Department of Medicine, Liver Unit, University of Alberta, Edmonton, Alberta, Canada
| | - Juan G. Abraldes
- Faculty of Medicine and Dentistry, Department of Medicine, University of Alberta, Edmonton, Alberta, Canada
- Division of Gastroenterology, Department of Medicine, Liver Unit, University of Alberta, Edmonton, Alberta, Canada
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Nakanuma S, Ogi T, Sugita H, Gabata R, Tokoro T, Takei R, Kato K, Takada S, Okazaki M, Makino I, Yagi S. Impact of aging on hepatic reserve after preoperative portal vein embolization in hepatectomy for perihilar cholangiocarcinoma. Asian J Surg 2024:S1015-9584(24)02485-0. [PMID: 39681505 DOI: 10.1016/j.asjsur.2024.10.152] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2024] [Revised: 09/26/2024] [Accepted: 10/10/2024] [Indexed: 12/18/2024] Open
Abstract
PURPOSE In the current situation of an increasing older adult population with perihilar cholangiocarcinoma (PHCC), the benefits and risks of surgical treatment of PHCC in older people remain controversial. Portal vein embolization (PVE) is a useful preoperative procedure to improve hepatic reserve in the future remnant liver (FRL) and avoid postoperative liver failure after extended hepatectomy for PHCC. This study aimed to evaluate the influence of aging on PVE. METHODS We enrolled 25 patients who underwent right hepatectomy with percutaneous transhepatic PVE. Participants aged <70 years (n = 13) and ≥70 years (n = 12) were compared; correlation coefficients were evaluated using all cases. The FRL volume/total liver volume (FRLV/TLV) ratio and the indocyanine green (ICG) clearance rate (ICG-K) fraction of FRL to total liver (ICG-Krem) were analyzed as FRL hepatic reserves. RESULTS FRLV/TLV ratio increased after PVE in <70 years and ≥70 years groups (p = 0.002 and p = 0.013, respectively). The change in ICG-K values from before to after PVE varied between both groups (p = 0.040). The ICG-Krem value after PVE increased only in the <70 years group (p = 0.009). A review of all cases showed a negative correlation between the change (after - before PVE) in the ICG-K and ICG-Krem values and age (r = -0.4827, p = 0.0145 and r = -0.4328, p = 0.0306, respectively). CONCLUSIONS This study showed aging suppresses hepatic reserve improvement in the FRL, particularly in ICG clearance after PVE in PHCC cases.
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Affiliation(s)
- Shinichi Nakanuma
- Department of Hepato-Biliary-Pancreatic Surgery and Transplantation, Kanazawa University, 13-1 Takara-machi, Kanazawa, Ishikawa, 920-8641, Japan.
| | - Takahiro Ogi
- Department of Radiology, Kanazawa University Graduate School of Medical Sciences, 13-1 Takara-machi, Kanazawa, Ishikawa, 920-8641, Japan
| | - Hiroaki Sugita
- Department of Hepato-Biliary-Pancreatic Surgery and Transplantation, Kanazawa University, 13-1 Takara-machi, Kanazawa, Ishikawa, 920-8641, Japan
| | - Ryosuke Gabata
- Department of Hepato-Biliary-Pancreatic Surgery and Transplantation, Kanazawa University, 13-1 Takara-machi, Kanazawa, Ishikawa, 920-8641, Japan
| | - Tomokazu Tokoro
- Department of Hepato-Biliary-Pancreatic Surgery and Transplantation, Kanazawa University, 13-1 Takara-machi, Kanazawa, Ishikawa, 920-8641, Japan
| | - Ryohei Takei
- Department of Hepato-Biliary-Pancreatic Surgery and Transplantation, Kanazawa University, 13-1 Takara-machi, Kanazawa, Ishikawa, 920-8641, Japan
| | - Kaichiro Kato
- Department of Hepato-Biliary-Pancreatic Surgery and Transplantation, Kanazawa University, 13-1 Takara-machi, Kanazawa, Ishikawa, 920-8641, Japan
| | - Satoshi Takada
- Department of Hepato-Biliary-Pancreatic Surgery and Transplantation, Kanazawa University, 13-1 Takara-machi, Kanazawa, Ishikawa, 920-8641, Japan
| | - Mitsuyoshi Okazaki
- Department of Hepato-Biliary-Pancreatic Surgery and Transplantation, Kanazawa University, 13-1 Takara-machi, Kanazawa, Ishikawa, 920-8641, Japan
| | - Isamu Makino
- Department of Hepato-Biliary-Pancreatic Surgery and Transplantation, Kanazawa University, 13-1 Takara-machi, Kanazawa, Ishikawa, 920-8641, Japan
| | - Shintaro Yagi
- Department of Hepato-Biliary-Pancreatic Surgery and Transplantation, Kanazawa University, 13-1 Takara-machi, Kanazawa, Ishikawa, 920-8641, Japan
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Yang L, Lin W, Yan X, Zhang Z. Comparative effects of lifelong moderate-intensity continuous training and high-intensity interval training on blood lipid levels and mental well-being in naturally ageing mice. Exp Gerontol 2024; 194:112519. [PMID: 38992822 DOI: 10.1016/j.exger.2024.112519] [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: 05/02/2024] [Revised: 06/29/2024] [Accepted: 07/08/2024] [Indexed: 07/13/2024]
Abstract
OBJECTIVE This study aimed to investigate the impact of lifelong exercise, including both moderate-intensity continuous training and high-intensity interval training, on blood lipid levels and mental behaviour in naturally ageing mice to identify effective exercise strategies for ageing-related health issues. METHODS Six-week-old male BALB/c mice were randomly assigned to one of four groups: young control (YC), natural ageing control (OC), lifelong moderate-intensity continuous exercise (EM), and lifelong high-intensity interval exercise (EH) groups. The EM group was trained at a speed corresponding to 70 % of the maximum running speed, while the EH group was trained at a running speed alternating between 50 % of the maximum running speed, 70 % of the maximum running speed, and 90 % of the maximum running speed. All exercise sessions were conducted three times per week, with each session lasting 50 min. Behavioural tests and blood sample collection were conducted at 72 weeks of age. RESULTS Ageing in mice led to changes in muscle and fat mass. Both the EM and EH groups showed greater muscle mass and lower fat mass than did the OC group. Ageing was associated with elevated anxiety (fewer open arm entries, time spent in the central region) and depression (lower sucrose preference) indicators. However, these changes were reversed in both exercise groups, with no differences between the two exercise groups. Blood lipid levels, including total cholesterol (TC), total triglycerides (TGs), low-density lipoprotein (LDL), and free fatty acid (FFA) levels, were greater in the OC group than in the YC group. Additionally, the OC group exhibited lower high-density lipoprotein (HDL) levels. However, both the EM and EH groups exhibited improved lipid profiles compared to those of the YC group. CONCLUSION Lifelong exercise, whether moderate-intensity continuous or high-intensity interval training, can preserve body health during ageing, prevent anxiety and depression, and maintain stable blood lipid levels. Both exercise types are equally effective, suggesting that exercise intensity may not be the critical factor underlying these beneficial adaptations.
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Affiliation(s)
- Ling Yang
- School of Physical Education, Shaoguan University, Shaoguan 512000, Guangdong, China; Institute for Health and Sport, Victoria University, Melbourne, VIC 8001, Australia
| | - Wentao Lin
- School of Physical Education and Health, Zhuhai College of Science and Technology, Zhuhai 519090, Guangdong, China
| | - Xu Yan
- Institute for Health and Sport, Victoria University, Melbourne, VIC 8001, Australia
| | - Zhishang Zhang
- Department of Physical Education, Guangdong Medical University, Dongguan 523808, Guangdong, China.
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Wang WC, Wu TH, Hung HC, Lee JC, Cheng CH, Wang YC, Lee CF, Wu TJ, Chou HS, Chan KM, Lee WC. Liver regeneration of living donor after liver donation for transplantation: Disparity in the left and right remnant liver. Medicine (Baltimore) 2024; 103:e37632. [PMID: 38579088 PMCID: PMC10994454 DOI: 10.1097/md.0000000000037632] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/20/2023] [Accepted: 02/26/2024] [Indexed: 04/07/2024] Open
Abstract
Donor safety is crucial for living donor liver transplantation (LDLT), and sufficient liver regeneration significantly affects outcomes of living donors. This study aimed to investigate clinical factors associated with liver regeneration in living donors. The study retrospectively reviewed 380 living donors who underwent liver donation at Chang Gung Memorial Hospital in Linkou. The clinical characteristics and medical parameters of donors were analyzed and compared according to liver donation graft type. There were 355 donors (93.4%) with right hemi-liver donations and 25 donors (6.6%) with left hemi-liver donations. Left hemi-liver donors had a higher body mass index (BMI) and a larger ratio of remnant liver volume (RLV) to total liver volume (TLV). However, the 2 groups showed no significant difference in the liver regeneration ratio. The type of remnant liver (P < .001), RLV/body weight (P = .027), RLV/TLV (P < .001), serum albumin on postoperative day 7 and total bilirubin levels on postoperative day 30 were the most significant factors affecting liver regeneration in living donors. In conclusion, adequate liver regeneration is essential for donor outcome after liver donation. The remnant liver could eventually regenerate to an adequate volume similar to the initial TLV before liver donation. However, the remnant left hemi-liver had a faster growth rate than the remnant right hemi-liver in donors.
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Affiliation(s)
- Wei-Cheng Wang
- Department of General Surgery and Chang Gung Transplantation Institute, Chang Gung Memorial Hospital at Linkou, Chang Gung University College of Medicine, Taoyuan, Taiwan
| | - Tsung-Han Wu
- Department of General Surgery and Chang Gung Transplantation Institute, Chang Gung Memorial Hospital at Linkou, Chang Gung University College of Medicine, Taoyuan, Taiwan
| | - Hao-Chien Hung
- Department of General Surgery and Chang Gung Transplantation Institute, Chang Gung Memorial Hospital at Linkou, Chang Gung University College of Medicine, Taoyuan, Taiwan
| | - Jin-Chiao Lee
- Department of General Surgery and Chang Gung Transplantation Institute, Chang Gung Memorial Hospital at Linkou, Chang Gung University College of Medicine, Taoyuan, Taiwan
| | - Chih-Hsien Cheng
- Department of General Surgery and Chang Gung Transplantation Institute, Chang Gung Memorial Hospital at Linkou, Chang Gung University College of Medicine, Taoyuan, Taiwan
| | - Yu-Chao Wang
- Department of General Surgery and Chang Gung Transplantation Institute, Chang Gung Memorial Hospital at Linkou, Chang Gung University College of Medicine, Taoyuan, Taiwan
| | - Chen-Fang Lee
- Department of General Surgery and Chang Gung Transplantation Institute, Chang Gung Memorial Hospital at Linkou, Chang Gung University College of Medicine, Taoyuan, Taiwan
| | - Ting-Jung Wu
- Department of General Surgery and Chang Gung Transplantation Institute, Chang Gung Memorial Hospital at Linkou, Chang Gung University College of Medicine, Taoyuan, Taiwan
| | - Hong-Shiue Chou
- Department of General Surgery and Chang Gung Transplantation Institute, Chang Gung Memorial Hospital at Linkou, Chang Gung University College of Medicine, Taoyuan, Taiwan
| | - Kun-Ming Chan
- Department of General Surgery and Chang Gung Transplantation Institute, Chang Gung Memorial Hospital at Linkou, Chang Gung University College of Medicine, Taoyuan, Taiwan
| | - Wei-Chen Lee
- Department of General Surgery and Chang Gung Transplantation Institute, Chang Gung Memorial Hospital at Linkou, Chang Gung University College of Medicine, Taoyuan, Taiwan
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Aging Biomarker Consortium, 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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Puri P, Kumar A, Qaleem M. Donor Evaluation Protocol for Live and Deceased Donors. J Clin Exp Hepatol 2024; 14:101217. [PMID: 38076356 PMCID: PMC10709134 DOI: 10.1016/j.jceh.2023.07.004] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/25/2023] [Accepted: 07/09/2023] [Indexed: 01/05/2025] Open
Abstract
Donor evaluation is a critical step before proceeding with liver transplantation (LT) in both deceased donor LT (DDLT) and living donor LT (LDLT). A good, healthy graft is necessary for the success of the transplantation. Other issues in selecting a donor include the transmission of infections and malignancies from the donor. Because of the scarcity of cadaver organs, an increasing number of extended-criteria donors, or 'marginal donors', are being utilized. LDLT also has potential risks to the donor, and donor safety needs to be kept in mind before proceeding with LT. The current review highlights the factors to be considered during donor evaluation for living and deceased donors before LT.
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Affiliation(s)
- Pankaj Puri
- Fortis Escorts Liver and Digestive Diseases Institute, Fortis Escorts Hospital, New Delhi-110025, India
| | - Abhinav Kumar
- Fortis Escorts Liver and Digestive Diseases Institute, Fortis Escorts Hospital, New Delhi-110025, India
| | - Mohd Qaleem
- Department of Liver Transplantation, Minimal Access & GI Surgery, Fortis Escorts Hospital, New Delhi-110025, India
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Adhikary S, Esmeeta A, Dey A, Banerjee A, Saha B, Gopan P, Duttaroy AK, Pathak S. Impacts of gut microbiota alteration on age-related chronic liver diseases. Dig Liver Dis 2024; 56:112-122. [PMID: 37407321 DOI: 10.1016/j.dld.2023.06.017] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/17/2023] [Revised: 06/08/2023] [Accepted: 06/20/2023] [Indexed: 07/07/2023]
Abstract
The gut microbiome and its metabolites are involved in developing and progressing liver disease. Various liver illnesses, such as non-alcoholic fatty liver disease, alcoholic liver disease, hepatitis C, and hepatocellular carcinoma, are made worse and have worse prognoses with aging. Dysbiosis, which occurs when the symbiosis between the microbiota and the host is disrupted, can significantly negatively impact health. Liver disease is linked to qualitative changes, such as an increase in hazardous bacteria and a decrease in good bacteria, as well as quantitative changes in the overall amount of bacteria (overgrowth). Intestinal gut microbiota and their metabolites may lead to chronic liver disease development through various mechanisms, such as increasing gut permeability, persistent systemic inflammation, production of SCFA, bile acids, and alteration in metabolism. Age-related gut dysbiosis can disrupt the communication between gut microbiota and the host, impacting the host's health and lifespan. With aging, a gradual loss of the ability to maintain homeostasis because of structural alteration and gut dysbiosis leads to the disease progression in end-stage liver disease. Recently chronic liver disease has been identified as a global problem. A large number of patients are receiving liver transplants yearly. Thereby gut microbiome ecology is changing in the patients of the gut due to the changes in pathophysiology during the preoperative stage. The present review summarises the age-associated dysbiosis of gut microbial composition and its contribution to chronic liver disease. This review also provides information about the impact of liver transplant on the gut microbiome and possible disadvantageous effects of alteration in gut microbiota.
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Affiliation(s)
- Subhamay Adhikary
- Chettinad Hospital and Research Institute (CHRI), Chettinad Academy of Research and Education(CARE), Department of Medical Biotechnology, Faculty of Allied Health Sciences, Kelambakkam 603103, India
| | - Akanksha Esmeeta
- Amity Institute of Biotechnology, Amity University, Sector 125, Noida, Uttar Pradesh 201301, India
| | - Amit Dey
- Chettinad Hospital and Research Institute (CHRI), Chettinad Academy of Research and Education(CARE), Department of Medical Biotechnology, Faculty of Allied Health Sciences, Kelambakkam 603103, India
| | - Antara Banerjee
- Chettinad Hospital and Research Institute (CHRI), Chettinad Academy of Research and Education(CARE), Department of Medical Biotechnology, Faculty of Allied Health Sciences, Kelambakkam 603103, India
| | - Biki Saha
- Chettinad Hospital and Research Institute (CHRI), Chettinad Academy of Research and Education(CARE), Department of Medical Biotechnology, Faculty of Allied Health Sciences, Kelambakkam 603103, India
| | - Pournami Gopan
- Chettinad Hospital and Research Institute (CHRI), Chettinad Academy of Research and Education(CARE), Department of Medical Biotechnology, Faculty of Allied Health Sciences, Kelambakkam 603103, India
| | - Asim K Duttaroy
- Department of Nutrition, Institute of Basic Medical Sciences, Faculty of Medicine, University of Oslo, Norway.
| | - Surajit Pathak
- Chettinad Hospital and Research Institute (CHRI), Chettinad Academy of Research and Education(CARE), Department of Medical Biotechnology, Faculty of Allied Health Sciences, Kelambakkam 603103, India.
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9
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Moon CM, Kim SK, Heo SH, Shin SS. Hemodynamic changes in the portal vein with age: evaluation using four-dimensional flow MRI. Sci Rep 2023; 13:7397. [PMID: 37149636 PMCID: PMC10164160 DOI: 10.1038/s41598-023-34522-z] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2022] [Accepted: 05/03/2023] [Indexed: 05/08/2023] Open
Abstract
Aging process is associated with gradual change of liver function and structure. The goal of this study was to evaluate age-related hemodynamic changes in the portal vein (PV) using four-dimensional (4D) flow MRI in healthy adults. A total of 120 healthy subjects were enrolled and categorized into groups A (n = 25, 30-39 years), B (n = 31, 40-49 years), C (n = 34, 50-59 years), and D (n = 30, 60-69 years). All subjects underwent 4D flow data acquisition using a 3-T MRI system to measure the hemodynamic parameters in the main PV. The clinical characteristics and 4D flow parameters were compared among the groups using analysis of variance and analysis of covariance after controlling for significant covariates, accordingly. The outcome metric applying the age-related quadratic model to estimate the age at which 4D flow parameters are the highest (the peak age) as well as the rates of age-related 4D flow changes was estimated. The average area, average through-plane velocity, peak velocity magnitude, average net flow, peak flow, and net forward volume in group D were significantly lower than those in groups A, B and C (P < 0.05). Group C showed significantly lower values of the average through-plane velocity and peak velocity magnitude than those of group B (P < 0.05). The peak age computed was approximately 43-44 years of age for all 4D flow parameters. The rates of age-related 4D flow changes for all 4D flow parameters were negatively correlated with age (P < 0.05). The volume and velocity of the blood flow through the PV peaked at approximately 43-44 years of age and decreased significantly after 60 years of age.
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Affiliation(s)
- Chung-Man Moon
- Research Institute of Medical Sciences, Chonnam National University, Gwangju, Republic of Korea
| | - Seul-Kee Kim
- Department of Radiology, Chonnam National University Hwasun Hospital, Hwasun, Republic of Korea
- Department of Radiology, Chonnam National University Medical School, 42 Jebong-ro, Dong-gu, Gwangju, 61469, Republic of Korea
| | - Suk-Hee Heo
- Department of Radiology, Chonnam National University Hwasun Hospital, Hwasun, Republic of Korea.
- Department of Radiology, Chonnam National University Medical School, 42 Jebong-ro, Dong-gu, Gwangju, 61469, Republic of Korea.
| | - Sang-Soo Shin
- Department of Radiology, Chonnam National University Hospital, Gwangju, Republic of Korea.
- Department of Radiology, Chonnam National University Medical School, 42 Jebong-ro, Dong-gu, Gwangju, 61469, Republic of Korea.
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10
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Bao H, Cao J, Chen M, Chen M, Chen W, Chen X, Chen Y, Chen Y, Chen Y, Chen Z, Chhetri JK, Ding Y, Feng J, Guo J, Guo M, He C, Jia Y, Jiang H, Jing Y, Li D, Li J, Li J, Liang Q, Liang R, Liu F, Liu X, Liu Z, Luo OJ, Lv J, Ma J, Mao K, Nie J, Qiao X, Sun X, Tang X, Wang J, Wang Q, Wang S, Wang X, Wang Y, Wang Y, Wu R, Xia K, Xiao FH, Xu L, Xu Y, Yan H, Yang L, Yang R, Yang Y, Ying Y, Zhang L, Zhang W, Zhang W, Zhang X, Zhang Z, Zhou M, Zhou R, Zhu Q, Zhu Z, Cao F, Cao Z, Chan P, Chen C, Chen G, Chen HZ, Chen J, Ci W, Ding BS, Ding Q, Gao F, Han JDJ, Huang K, Ju Z, Kong QP, Li J, Li J, Li X, Liu B, Liu F, Liu L, Liu Q, Liu Q, Liu X, Liu Y, Luo X, Ma S, Ma X, Mao Z, Nie J, Peng Y, Qu J, Ren J, Ren R, Song M, Songyang Z, Sun YE, Sun Y, Tian M, Wang S, et alBao H, Cao J, Chen M, Chen M, Chen W, Chen X, Chen Y, Chen Y, Chen Y, Chen Z, Chhetri JK, Ding Y, Feng J, Guo J, Guo M, He C, Jia Y, Jiang H, Jing Y, Li D, Li J, Li J, Liang Q, Liang R, Liu F, Liu X, Liu Z, Luo OJ, Lv J, Ma J, Mao K, Nie J, Qiao X, Sun X, Tang X, Wang J, Wang Q, Wang S, Wang X, Wang Y, Wang Y, Wu R, Xia K, Xiao FH, Xu L, Xu Y, Yan H, Yang L, Yang R, Yang Y, Ying Y, Zhang L, Zhang W, Zhang W, Zhang X, Zhang Z, Zhou M, Zhou R, Zhu Q, Zhu Z, Cao F, Cao Z, Chan P, Chen C, Chen G, Chen HZ, Chen J, Ci W, Ding BS, Ding Q, Gao F, Han JDJ, Huang K, Ju Z, Kong QP, Li J, Li J, Li X, Liu B, Liu F, Liu L, Liu Q, Liu Q, Liu X, Liu Y, Luo X, Ma S, Ma X, Mao Z, Nie J, Peng Y, Qu J, Ren J, Ren R, Song M, Songyang Z, Sun YE, Sun Y, Tian M, Wang S, Wang S, Wang X, Wang X, Wang YJ, Wang Y, Wong CCL, Xiang AP, Xiao Y, Xie Z, Xu D, Ye J, Yue R, Zhang C, Zhang H, Zhang L, Zhang W, Zhang Y, Zhang YW, Zhang Z, Zhao T, Zhao Y, Zhu D, Zou W, Pei G, Liu GH. Biomarkers of aging. SCIENCE CHINA. LIFE SCIENCES 2023; 66:893-1066. [PMID: 37076725 PMCID: PMC10115486 DOI: 10.1007/s11427-023-2305-0] [Show More Authors] [Citation(s) in RCA: 163] [Impact Index Per Article: 81.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 01/19/2023] [Accepted: 02/27/2023] [Indexed: 04/21/2023]
Abstract
Aging biomarkers are a combination of biological parameters to (i) assess age-related changes, (ii) track the physiological aging process, and (iii) predict the transition into a pathological status. Although a broad spectrum of aging biomarkers has been developed, their potential uses and limitations remain poorly characterized. An immediate goal of biomarkers is to help us answer the following three fundamental questions in aging research: How old are we? Why do we get old? And how can we age slower? This review aims to address this need. Here, we summarize our current knowledge of biomarkers developed for cellular, organ, and organismal levels of aging, comprising six pillars: physiological characteristics, medical imaging, histological features, cellular alterations, molecular changes, and secretory factors. To fulfill all these requisites, we propose that aging biomarkers should qualify for being specific, systemic, and clinically relevant.
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Affiliation(s)
- Hainan Bao
- 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
| | - Jiani Cao
- State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China
| | - Mengting Chen
- Department of Dermatology, Xiangya Hospital, Central South University, Changsha, 410008, China
- Hunan Key Laboratory of Aging Biology, Xiangya Hospital, Central South University, Changsha, 410008, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, 410008, China
| | - Min Chen
- Clinic Center of Human Gene Research, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
- Hubei Clinical Research Center of Metabolic and Cardiovascular Disease, Huazhong University of Science and Technology, Wuhan, 430022, China
- Hubei Key Laboratory of Metabolic Abnormalities and Vascular Aging, Huazhong University of Science and Technology, Wuhan, 430022, China
| | - Wei Chen
- Stem Cell Translational Research Center, Tongji Hospital, Tongji University School of Medicine, Shanghai, 200065, China
| | - Xiao Chen
- Department of Nuclear Medicine, Daping Hospital, Third Military Medical University, Chongqing, 400042, 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
| | - Yu Chen
- Shanghai Key Laboratory of Maternal Fetal Medicine, Clinical and Translational Research Center of Shanghai First Maternity and Infant Hospital, Frontier Science Center for Stem Cell Research, Shanghai Key Laboratory of Signaling and Disease Research, School of Life Sciences and Technology, Tongji University, Shanghai, 200092, China
| | - Yutian Chen
- The Department of Endovascular Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, China
| | - Zhiyang Chen
- Key Laboratory of Regenerative Medicine of Ministry of Education, Institute of Ageing and Regenerative Medicine, Jinan University, Guangzhou, 510632, China
| | - Jagadish K Chhetri
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China
| | - Yingjie Ding
- 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
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Junlin Feng
- CAS Key Laboratory of Tissue Microenvironment and Tumor, Shanghai Institute of Nutrition and Health, Chinese Academy of Sciences, Shanghai, 200031, China
| | - Jun Guo
- 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
| | - Mengmeng Guo
- School of Pharmaceutical Sciences, Tsinghua University, Beijing, 100084, China
| | - Chuting He
- University of Chinese Academy of Sciences, Beijing, 100049, China
- 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
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, 100101, China
| | - Yujuan Jia
- Department of Neurology, First Affiliated Hospital, Shanxi Medical University, Taiyuan, 030001, China
| | - Haiping Jiang
- State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, 100101, China
| | - Ying Jing
- Beijing Municipal Geriatric Medical Research Center, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China
- Aging Translational Medicine Center, International Center for Aging and Cancer, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China
- Advanced Innovation Center for Human Brain Protection, and National Clinical Research Center for Geriatric Disorders, Xuanwu Hospital Capital Medical University, Beijing, 100053, China
| | - Dingfeng Li
- Department of Neurology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, 230036, China
| | - Jiaming Li
- 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
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Jingyi Li
- University of Chinese Academy of Sciences, Beijing, 100049, China
- 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
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, 100101, China
| | - Qinhao Liang
- College of Life Sciences, TaiKang Center for Life and Medical Sciences, Wuhan University, Wuhan, 430072, China
| | - Rui Liang
- Research Institute of Transplant Medicine, Organ Transplant Center, NHC Key Laboratory for Critical Care Medicine, Tianjin First Central Hospital, Nankai University, Tianjin, 300384, China
| | - Feng Liu
- MOE Key Laboratory of Gene Function and Regulation, Guangzhou Key Laboratory of Healthy Aging Research, School of Life Sciences, Institute of Healthy Aging Research, Sun Yat-sen University, Guangzhou, 510275, China
| | - Xiaoqian Liu
- State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, 100101, China
| | - Zuojun Liu
- School of Life Sciences, Hainan University, Haikou, 570228, China
| | - Oscar Junhong Luo
- Department of Systems Biomedical Sciences, School of Medicine, Jinan University, Guangzhou, 510632, China
| | - Jianwei Lv
- School of Life Sciences, Xiamen University, Xiamen, 361102, China
| | - Jingyi Ma
- The State Key Laboratory of Organ Failure Research, National Clinical Research Center of Kidney Disease, Division of Nephrology, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, China
| | - Kehang Mao
- Peking-Tsinghua Center for Life Sciences, Academy for Advanced Interdisciplinary Studies, Center for Quantitative Biology (CQB), Peking University, Beijing, 100871, China
| | - Jiawei Nie
- Shanghai Institute of Hematology, State Key Laboratory for Medical Genomics, National Research Center for Translational Medicine (Shanghai), International Center for Aging and Cancer, Collaborative Innovation Center of Hematology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Xinhua Qiao
- National Laboratory of Biomacromolecules, CAS Center for Excellence in Biomacromolecules, Institute of Biophysics, Chinese Academy of Sciences, Beijing, 100101, China
| | - Xinpei Sun
- Peking University International Cancer Institute, Health Science Center, Peking University, Beijing, 100101, China
| | - Xiaoqiang Tang
- Key Laboratory of Birth Defects and Related Diseases of Women and Children of MOE, State Key Laboratory of Biotherapy, West China Second University Hospital, Sichuan University, Chengdu, 610041, China
| | - Jianfang Wang
- Institute for Regenerative Medicine, Shanghai East Hospital, Frontier Science Center for Stem Cell Research, Shanghai Key Laboratory of Signaling and Disease Research, School of Life Sciences and Technology, Tongji University, Shanghai, 200092, China
| | - Qiaoran Wang
- 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
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Siyuan Wang
- Clinical Research Institute, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science & Peking Union Medical College, Beijing, 100730, China
| | - Xuan Wang
- Hepatobiliary and Pancreatic Center, Medical Research Center, Beijing Tsinghua Changgung Hospital, Beijing, 102218, China
| | - Yaning Wang
- Key Laboratory for Stem Cells and Tissue Engineering, Ministry of Education, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, 510080, China
- Advanced Medical Technology Center, The First Affiliated Hospital, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, 510080, China
| | - Yuhan Wang
- University of Chinese Academy of Sciences, Beijing, 100049, China
- 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
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, 100101, China
| | - Rimo Wu
- Bioland Laboratory (Guangzhou Regenerative Medicine and Health Guangdong Laboratory), Guangzhou, 510005, China
| | - Kai Xia
- Center for Stem Cell Biologyand Tissue Engineering, Key Laboratory for Stem Cells and Tissue Engineering, Ministry of Education, Sun Yat-sen University, Guangzhou, 510080, China
- National-Local Joint Engineering Research Center for Stem Cells and Regenerative Medicine, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, 510080, China
| | - Fu-Hui Xiao
- CAS Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming, 650223, China
- State Key Laboratory of Genetic Resources and Evolution, Key Laboratory of Healthy Aging Research of Yunnan Province, Kunming Key Laboratory of Healthy Aging Study, KIZ/CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650223, China
| | - Lingyan Xu
- Shanghai Key Laboratory of Regulatory Biology, Institute of Biomedical Sciences and School of Life Sciences, East China Normal University, Shanghai, 200241, China
| | - Yingying Xu
- 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
| | - Haoteng Yan
- Beijing Municipal Geriatric Medical Research Center, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China
- Aging Translational Medicine Center, International Center for Aging and Cancer, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China
- Advanced Innovation Center for Human Brain Protection, and National Clinical Research Center for Geriatric Disorders, Xuanwu Hospital Capital Medical University, Beijing, 100053, China
| | - Liang Yang
- CAS Key Laboratory of Regenerative Biology, Joint School of Life Sciences, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou Medical University, Guangzhou, 510530, China
| | - Ruici Yang
- 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, 200031, China
| | - Yuanxin Yang
- Interdisciplinary Research Center on Biology and Chemistry, Shanghai Institute of Organic Chemistry, Chinese Academy of Sciences, Shanghai, 201210, China
| | - Yilin Ying
- Department of Geriatrics, Medical Center on Aging of Shanghai Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
- International Laboratory in Hematology and Cancer, Shanghai Jiao Tong University School of Medicine/Ruijin Hospital, Shanghai, 200025, China
| | - Le Zhang
- Gerontology Center of Hubei Province, Wuhan, 430000, China
- Institute of Gerontology, Department of Geriatrics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Weiwei Zhang
- Department of Cardiology, The Second Medical Centre, Chinese PLA General Hospital, National Clinical Research Center for Geriatric Diseases, Beijing, 100853, China
| | - Wenwan Zhang
- CAS Key Laboratory of Tissue Microenvironment and Tumor, Shanghai Institute of Nutrition and Health, Chinese Academy of Sciences, Shanghai, 200031, China
| | - Xing Zhang
- Key Laboratory of Ministry of Education, School of Aerospace Medicine, Fourth Military Medical University, Xi'an, 710032, China
| | - Zhuo Zhang
- Optogenetics & Synthetic Biology Interdisciplinary Research Center, State Key Laboratory of Bioreactor Engineering, Shanghai Frontiers Science Center of Optogenetic Techniques for Cell Metabolism, School of Pharmacy, East China University of Science and Technology, Shanghai, 200237, China
- Research Unit of New Techniques for Live-cell Metabolic Imaging, Chinese Academy of Medical Sciences, Beijing, 100730, China
| | - Min Zhou
- Department of Endocrinology, Endocrinology Research Center, Xiangya Hospital of Central South University, Changsha, 410008, China
| | - Rui Zhou
- Department of Nuclear Medicine and PET Center, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, 310009, China
| | - Qingchen Zhu
- CAS Key Laboratory of Tissue Microenvironment and Tumor, Shanghai Institute of Nutrition and Health, Chinese Academy of Sciences, Shanghai, 200031, China
| | - Zhengmao Zhu
- Department of Genetics and Cell Biology, College of Life Science, Nankai University, Tianjin, 300071, China
- Haihe Laboratory of Cell Ecosystem, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, 300020, China
| | - Feng Cao
- Department of Cardiology, The Second Medical Centre, Chinese PLA General Hospital, National Clinical Research Center for Geriatric Diseases, Beijing, 100853, China.
| | - Zhongwei Cao
- State Key Laboratory of Biotherapy, West China Second University Hospital, Sichuan University, Chengdu, 610041, China.
| | - Piu Chan
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China.
| | - Chang Chen
- National Laboratory of Biomacromolecules, CAS Center for Excellence in Biomacromolecules, Institute of Biophysics, Chinese Academy of Sciences, Beijing, 100101, China.
| | - Guobing Chen
- Department of Microbiology and Immunology, School of Medicine, Jinan University, Guangzhou, 510632, China.
- Guangdong-Hong Kong-Macau Great Bay Area Geroscience Joint Laboratory, Guangzhou, 510000, China.
| | - Hou-Zao Chen
- Department of Biochemistryand Molecular Biology, State Key Laboratory of Medical Molecular Biology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100005, China.
| | - Jun Chen
- Peking University Research Center on Aging, Beijing Key Laboratory of Protein Posttranslational Modifications and Cell Function, Department of Biochemistry and Molecular Biology, Department of Integration of Chinese and Western Medicine, School of Basic Medical Science, Peking University, Beijing, 100191, China.
| | - Weimin Ci
- 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.
| | - Bi-Sen Ding
- State Key Laboratory of Biotherapy, West China Second University Hospital, Sichuan University, Chengdu, 610041, 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.
| | - Feng Gao
- Key Laboratory of Ministry of Education, School of Aerospace Medicine, Fourth Military Medical University, Xi'an, 710032, China.
| | - Jing-Dong J Han
- Peking-Tsinghua Center for Life Sciences, Academy for Advanced Interdisciplinary Studies, Center for Quantitative Biology (CQB), Peking University, Beijing, 100871, China.
| | - Kai Huang
- Clinic Center of Human Gene Research, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.
- Hubei Clinical Research Center of Metabolic and Cardiovascular Disease, Huazhong University of Science and Technology, Wuhan, 430022, China.
- Hubei Key Laboratory of Metabolic Abnormalities and Vascular Aging, Huazhong University of Science and Technology, Wuhan, 430022, China.
- Department of Cardiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.
| | - Zhenyu Ju
- Key Laboratory of Regenerative Medicine of Ministry of Education, Institute of Ageing and Regenerative Medicine, Jinan University, Guangzhou, 510632, China.
| | - Qing-Peng Kong
- CAS Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming, 650223, China.
- State Key Laboratory of Genetic Resources and Evolution, Key Laboratory of Healthy Aging Research of Yunnan Province, Kunming Key Laboratory of Healthy Aging Study, KIZ/CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650223, China.
| | - Ji Li
- Department of Dermatology, Xiangya Hospital, Central South University, Changsha, 410008, China.
- Hunan Key Laboratory of Aging Biology, Xiangya Hospital, Central South University, Changsha, 410008, China.
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, 410008, 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.
| | - Xin Li
- State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China.
- University of Chinese Academy of Sciences, Beijing, 100049, China.
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China.
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, 100101, China.
| | - Baohua Liu
- School of Basic Medical Sciences, Shenzhen University Medical School, Shenzhen, 518060, China.
| | - Feng Liu
- Metabolic Syndrome Research Center, The Second Xiangya Hospital, Central South Unversity, Changsha, 410011, China.
| | - Lin Liu
- Department of Genetics and Cell Biology, College of Life Science, Nankai University, Tianjin, 300071, China.
- Haihe Laboratory of Cell Ecosystem, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, 300020, China.
- Institute of Translational Medicine, Tianjin Union Medical Center, Nankai University, Tianjin, 300000, China.
- State Key Laboratory of Medicinal Chemical Biology, Nankai University, Tianjin, 300350, China.
| | - Qiang Liu
- Department of Neurology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, 230036, China.
| | - Qiang Liu
- Department of Neurology, Tianjin Neurological Institute, Tianjin Medical University General Hospital, Tianjin, 300052, China.
- Tianjin Institute of Immunology, Tianjin Medical University, Tianjin, 300070, China.
| | - Xingguo Liu
- CAS Key Laboratory of Regenerative Biology, Joint School of Life Sciences, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou Medical University, Guangzhou, 510530, China.
| | - Yong Liu
- College of Life Sciences, TaiKang Center for Life and Medical Sciences, Wuhan University, Wuhan, 430072, China.
| | - Xianghang Luo
- Department of Endocrinology, Endocrinology Research Center, Xiangya Hospital of Central South University, Changsha, 410008, China.
| | - Shuai Ma
- University of Chinese Academy of Sciences, Beijing, 100049, China.
- 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.
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, 100101, China.
| | - Xinran Ma
- Shanghai Key Laboratory of Regulatory Biology, Institute of Biomedical Sciences and School of Life Sciences, East China Normal University, Shanghai, 200241, China.
| | - Zhiyong Mao
- Shanghai Key Laboratory of Maternal Fetal Medicine, Clinical and Translational Research Center of Shanghai First Maternity and Infant Hospital, Frontier Science Center for Stem Cell Research, Shanghai Key Laboratory of Signaling and Disease Research, School of Life Sciences and Technology, Tongji University, Shanghai, 200092, China.
| | - Jing Nie
- The State Key Laboratory of Organ Failure Research, National Clinical Research Center of Kidney Disease, Division of Nephrology, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, China.
| | - Yaojin Peng
- State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China.
- University of Chinese Academy of Sciences, Beijing, 100049, China.
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, 100101, China.
| | - Jing Qu
- State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China.
- University of Chinese Academy of Sciences, Beijing, 100049, China.
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China.
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, 100101, China.
| | - Jie Ren
- 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.
- University of Chinese Academy of Sciences, Beijing, 100049, China.
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China.
| | - Ruibao Ren
- Shanghai Institute of Hematology, State Key Laboratory for Medical Genomics, National Research Center for Translational Medicine (Shanghai), International Center for Aging and Cancer, Collaborative Innovation Center of Hematology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China.
- International Center for Aging and Cancer, Hainan Medical University, Haikou, 571199, China.
| | - Moshi Song
- University of Chinese Academy of Sciences, Beijing, 100049, China.
- 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.
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, 100101, China.
| | - Zhou Songyang
- MOE Key Laboratory of Gene Function and Regulation, Guangzhou Key Laboratory of Healthy Aging Research, School of Life Sciences, Institute of Healthy Aging Research, Sun Yat-sen University, Guangzhou, 510275, China.
- Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, 510120, China.
| | - Yi Eve Sun
- Stem Cell Translational Research Center, Tongji Hospital, Tongji University School of Medicine, Shanghai, 200065, China.
| | - Yu Sun
- CAS Key Laboratory of Tissue Microenvironment and Tumor, Shanghai Institute of Nutrition and Health, Chinese Academy of Sciences, Shanghai, 200031, China.
- Department of Medicine and VAPSHCS, University of Washington, Seattle, WA, 98195, USA.
| | - Mei Tian
- Human Phenome Institute, Fudan University, Shanghai, 201203, China.
| | - Shusen Wang
- Research Institute of Transplant Medicine, Organ Transplant Center, NHC Key Laboratory for Critical Care Medicine, Tianjin First Central Hospital, Nankai University, Tianjin, 300384, China.
| | - Si Wang
- Beijing Municipal Geriatric Medical Research Center, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China.
- Aging Translational Medicine Center, International Center for Aging and Cancer, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China.
- Advanced Innovation Center for Human Brain Protection, and National Clinical Research Center for Geriatric Disorders, Xuanwu Hospital Capital Medical University, Beijing, 100053, China.
| | - Xia Wang
- School of Pharmaceutical Sciences, Tsinghua University, Beijing, 100084, China.
| | - Xiaoning Wang
- Institute of Geriatrics, The second Medical Center, Beijing Key Laboratory of Aging and Geriatrics, National Clinical Research Center for Geriatric Diseases, Chinese PLA General Hospital, Beijing, 100853, China.
| | - Yan-Jiang Wang
- Department of Neurology and Center for Clinical Neuroscience, Daping Hospital, Third Military Medical University, Chongqing, 400042, China.
| | - Yunfang Wang
- Hepatobiliary and Pancreatic Center, Medical Research Center, Beijing Tsinghua Changgung Hospital, Beijing, 102218, China.
| | - Catherine C L Wong
- Clinical Research Institute, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science & Peking Union Medical College, Beijing, 100730, China.
| | - Andy Peng Xiang
- Center for Stem Cell Biologyand Tissue Engineering, Key Laboratory for Stem Cells and Tissue Engineering, Ministry of Education, Sun Yat-sen University, Guangzhou, 510080, China.
- National-Local Joint Engineering Research Center for Stem Cells and Regenerative Medicine, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, 510080, China.
| | - Yichuan Xiao
- CAS Key Laboratory of Tissue Microenvironment and Tumor, Shanghai Institute of Nutrition and Health, Chinese Academy of Sciences, Shanghai, 200031, China.
| | - Zhengwei Xie
- Peking University International Cancer Institute, Health Science Center, Peking University, Beijing, 100101, China.
- Beijing & Qingdao Langu Pharmaceutical R&D Platform, Beijing Gigaceuticals Tech. Co. Ltd., Beijing, 100101, China.
| | - Daichao Xu
- Interdisciplinary Research Center on Biology and Chemistry, Shanghai Institute of Organic Chemistry, Chinese Academy of Sciences, Shanghai, 201210, China.
| | - Jing Ye
- Department of Geriatrics, Medical Center on Aging of Shanghai Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China.
- International Laboratory in Hematology and Cancer, Shanghai Jiao Tong University School of Medicine/Ruijin Hospital, Shanghai, 200025, China.
| | - Rui Yue
- Institute for Regenerative Medicine, Shanghai East Hospital, Frontier Science Center for Stem Cell Research, Shanghai Key Laboratory of Signaling and Disease Research, School of Life Sciences and Technology, Tongji University, Shanghai, 200092, China.
| | - Cuntai Zhang
- Gerontology Center of Hubei Province, Wuhan, 430000, China.
- Institute of Gerontology, Department of Geriatrics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China.
| | - Hongbo Zhang
- Key Laboratory for Stem Cells and Tissue Engineering, Ministry of Education, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, 510080, China.
- Advanced Medical Technology Center, The First Affiliated Hospital, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, 510080, China.
| | - Liang Zhang
- CAS Key Laboratory of Tissue Microenvironment and Tumor, Shanghai Institute of Nutrition and Health, Chinese Academy of Sciences, Shanghai, 200031, China.
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, 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.
- University of Chinese Academy of Sciences, Beijing, 100049, China.
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China.
| | - Yong Zhang
- Bioland Laboratory (Guangzhou Regenerative Medicine and Health Guangdong Laboratory), Guangzhou, 510005, China.
- The State Key Laboratory of Medical Molecular Biology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences and School of Basic Medicine, Peking Union Medical College, Beijing, 100005, China.
| | - Yun-Wu Zhang
- Fujian Provincial Key Laboratory of Neurodegenerative Disease and Aging Research, Institute of Neuroscience, School of Medicine, Xiamen University, Xiamen, 361102, China.
| | - Zhuohua Zhang
- Key Laboratory of Molecular Precision Medicine of Hunan Province and Center for Medical Genetics, Institute of Molecular Precision Medicine, Xiangya Hospital, Central South University, Changsha, 410078, China.
- Department of Neurosciences, Hengyang Medical School, University of South China, Hengyang, 421001, China.
| | - Tongbiao Zhao
- State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China.
- University of Chinese Academy of Sciences, Beijing, 100049, China.
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China.
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, 100101, China.
| | - Yuzheng Zhao
- Optogenetics & Synthetic Biology Interdisciplinary Research Center, State Key Laboratory of Bioreactor Engineering, Shanghai Frontiers Science Center of Optogenetic Techniques for Cell Metabolism, School of Pharmacy, East China University of Science and Technology, Shanghai, 200237, China.
- Research Unit of New Techniques for Live-cell Metabolic Imaging, Chinese Academy of Medical Sciences, Beijing, 100730, China.
| | - Dahai Zhu
- Bioland Laboratory (Guangzhou Regenerative Medicine and Health Guangdong Laboratory), Guangzhou, 510005, China.
- The State Key Laboratory of Medical Molecular Biology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences and School of Basic Medicine, Peking Union Medical College, Beijing, 100005, China.
| | - Weiguo Zou
- 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, 200031, China.
| | - Gang Pei
- Shanghai Key Laboratory of Signaling and Disease Research, Laboratory of Receptor-Based Biomedicine, The Collaborative Innovation Center for Brain Science, School of Life Sciences and Technology, Tongji University, Shanghai, 200070, China.
| | - Guang-Hui Liu
- University of Chinese Academy of Sciences, Beijing, 100049, China.
- 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.
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, 100101, China.
- Advanced Innovation Center for Human Brain Protection, and National Clinical Research Center for Geriatric Disorders, Xuanwu Hospital Capital Medical University, Beijing, 100053, China.
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11
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Nodular Regenerative Hyperplasia Is Not a Rare Condition After Liver Transplantation: Incidence, Predictive Factors, and Impact on Survival. Transplantation 2023; 107:410-419. [PMID: 36117256 DOI: 10.1097/tp.0000000000004303] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/28/2023]
Abstract
BACKGROUND The objectives of this study were to evaluate incidence and to identify the risk factors of occurrence and the predictive factors of symptomatic forms of nodular regenerative hyperplasia (NRH) after liver transplantation (LT). METHODS To identify risk factors of NRH following LT, we included 1648 patients transplanted from 2004 to 2018 and compared the patients developing NRH after LT to those who did not. To identify predictive factors of symptomatic NRH, we selected 115 biopsies displaying NRH and compared symptomatic to asymptomatic forms. Symptomatic NRH was defined as the presence of ascites, esophageal varices, hepatic encephalopathy, portal thrombosis, retransplantation, or death related to NRH. RESULTS The incidence of NRH following LT was 5.1%. In multivariate analysis, the independent factor of developing NRH after LT was the donor's age (odds ratio [OR] = 1.02; confidence interval, 1.01-1.03; P = 0.02). Symptomatic forms occurred in 29 (25.2%) patients: 19 (16.5%) patients presented with ascites, 13 (11.3%) with esophageal varices, 4 (3.5%) with hepatic encephalopathy, and 8 (7%) with portal thrombosis. The median period before the onset of symptoms was 8.4 (1.5-11.3) y after LT. The spleen size at diagnosis/before LT ratio (OR = 12.5; 114.17-1.37; P = 0.0252) and thrombectomy during transplantation (OR = 11.17; 1.48-84.11; P = 0.0192) were associated with symptomatic NRH in multivariate analysis. CONCLUSIONS NRH following LT is frequent (5.1%) and leads to symptomatic portal hypertension in 25.2% of patients. Using older grafts increases the risk of developing NRH after LT. Clinicians should screen for signs of portal hypertension, particularly in measuring spleen size.
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12
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Zhang J, Wang Z, Jin Z, Ying Z. A Step-Wise Multiple Testing for Linear Regression Models with Application to the Study of Resting Energy Expenditure. STATISTICS IN BIOSCIENCES 2022. [DOI: 10.1007/s12561-022-09355-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/14/2022]
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13
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Wáng YXJ. Gender-specific liver aging and magnetic resonance imaging. Quant Imaging Med Surg 2021; 11:2893-2904. [PMID: 34249621 DOI: 10.21037/qims-21-227] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2021] [Accepted: 04/15/2021] [Indexed: 12/14/2022]
Abstract
The number of imaging studies performed on elderly individuals will increase in the next several decades. It is important to understand normal age-related changes in the structural and functional imaging appearance of the liver. This article highlights a number of liver aging aspects which are particularly relevant to magnetic resonance imaging (MRI). Physiology of aging liver is associated with a reduction in size, in perfusion, and in function. Pulsed echo-Doppler showed substantial reduction of portal flow in elderly subjects, particularly those after the age of 75 years old. An MRI biomarker diffusion derived vessel density (DDVD) demonstrated that liver microperfusion volume in healthy females starts to decrease even before menopause age. Liver fat content and iron content increase with aging, and the change is more substantial in women after menopause. Adult men have higher liver fat and iron contents than women from the start and change less during aging. Nonalcoholic fatty liver disease (NAFLD) is very common among assumed healthy subjects. There is a male predominance of NAFLD from the paediatric population up to fifth decade of life in adults. After the age of 60 years, women overtake their male counterparts in prevalence of NAFLD. Higher liver fat leads to decreased apparent diffusion coefficient (ADC) and intravoxel incoherent motion (IVIM)-Dslow measures. Higher liver iron content shortens T2* measure, lower ADC and IVIM-Dslow measures, increases imaging noises and decreases liver visibility. Young women have high liver T1rho value and then decrease substantially, while liver T1rho in men remains relatively unchanged with aging. In positron emission tomography (PET) studies, aging is associated with an increase of both liver fluorine-18-fluorodeoxyglucose maximum standard uptake and mean standard uptake values.
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Affiliation(s)
- Yì Xiáng J Wáng
- Department of Imaging and Interventional Radiology, Faculty of Medicine, The Chinese University of Hong Kong, New Territories, Hong Kong SAR, China
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14
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Arslan E, Çermik TF. PET/CT Variants and Pitfalls in Liver, Biliary Tract, Gallbladder and Pancreas. Semin Nucl Med 2021; 51:502-518. [PMID: 34049687 DOI: 10.1053/j.semnuclmed.2021.04.006] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
A wide variety of pathological anomalies may occur in the liver, biliary system, and pancreas. It is a necessity to use many different imaging techniques in order to distinguish such varied pathologies, especially those from malignant processes. Positron Emission Tomography/Computed Tomography (PET/CT) is an imaging method that has proven its diagnostic value in oncology and can be used for different clinical purposes. Fluoro-18 fluoro-2-deoxy-D-glucose has a wide range of uses as a dominant radiopharmaceutical in routine molecular imaging, however, molecular imaging has started to play a more important role in personalized cancer treatment in recent years with new Fluoro-18 and Gallium-68 labeled tracers. Although molecular imaging has a strong diagnostic effect, the surprises and pitfalls of molecular imaging can lead us to unexpected and misleading results. Prior to PET/CT analysis and reporting, information about possible technical and physiological pitfalls, normal histological features of tissues, inflammatory pathologies, specific clinical features of the case, treatment-related complications and past treatments should be evaluated in advance to avoid misinterpretation. In this review, the physiological and pathophysiological variants as well as pitfalls encountered in PET/CT imaging of the liver, biliary tract, gallbladder, and pancreas will be examined. Other benign and malignant pathologies that have been reported to date and that have led to incorrect evaluation will be listed. It is expected that the devices, software, and artificial intelligence applications that will be developed in the near future will enable much more effective and faster imaging that will reduce the potential causes of error. However, as a result of the dynamic and evolving structure of the information obtained by molecular imaging, the inclusion of the newly developed radiopharmaceuticals in routine practice will continue to carry new potentials as well as new troubles. Although molecular imaging will be the flagship of diagnostic oncology in the 21st century, the correct analysis and interpretation by the physician will continue to form the basis of achieving optimal performance.
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Affiliation(s)
- Esra Arslan
- Istanbul Training and Research Hospital, Clinic of Nuclear Medicine, University of Health and Sciences Turkey, Istanbul, Turkey.
| | - Tevfik Fikret Çermik
- Istanbul Training and Research Hospital, Clinic of Nuclear Medicine, University of Health and Sciences Turkey, Istanbul, Turkey
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15
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Luo D, Jin B, Zhai X, Li J, Liu C, Guo W, Li J. Oxytocin promotes hepatic regeneration in elderly mice. iScience 2021; 24:102125. [PMID: 33659883 PMCID: PMC7895748 DOI: 10.1016/j.isci.2021.102125] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2020] [Revised: 12/15/2020] [Accepted: 01/26/2021] [Indexed: 12/23/2022] Open
Abstract
Liver aging impairs the ability of hepatocyte regeneration. Recent studies have found that oxytocin (OT) plays an important role in promoting tissue repair and maintaining differentiation and regeneration of stem cells. Here, we reported that OT receptors, which are specifically located in hepatocytes, decrease with aging in human and mice. Interestingly, the level of serum OT also decline with age. Notably, OT promotes hepatocyte regeneration only in aged mice but not in young mice in vitro and in vivo. Further studies reveal that OT promotes autophagy in either AML12 mouse hepatocytes or aged mice after partial hepatectomy or with CCl4-induced acute liver injury. In conclusion, OT promotes liver regeneration, especially in aged mice, which may be achieved by promoting autophagy. All these results support the possibility of OT and its analog being a potent anti-aging drug and promote liver rejuvenation.
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Affiliation(s)
- Dan Luo
- Department of Physiology, School of Basic Medical Sciences, Cheeloo College of Medicine, Shandong University, Jinan 250012, China
| | - Bin Jin
- Department of general surgery, Qilu hospital of Shandong University, Jinan 250012, China
| | - Xiangyu Zhai
- Department of general surgery, Qilu hospital of Shandong University, Jinan 250012, China
| | - Jing Li
- Department of Pathology, Central Hospital of Zibo, Zibo 255036, China
| | - Chuanyong Liu
- Department of Physiology, School of Basic Medical Sciences, Cheeloo College of Medicine, Shandong University, Jinan 250012, China
| | - Wei Guo
- Department of general surgery, Qilu hospital of Shandong University, Jinan 250012, China
| | - Jingxin Li
- Department of Physiology, School of Basic Medical Sciences, Cheeloo College of Medicine, Shandong University, Jinan 250012, China
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16
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Cao Y, Zhou K, Diao W, Long X, Tian F, Su M, Jia Z. Age-related changes of standardized uptake values in the blood pool and liver: a decade-long retrospective study of the outcomes of 2,526 subjects. Quant Imaging Med Surg 2021; 11:95-106. [PMID: 33392014 DOI: 10.21037/qims-20-35] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
Background Background activity on fluorine-18-fluorodeoxyglucose (18F-FDG) positron emission tomography/computed tomography (PET/CT) is often used as a reference to assess a patient's response to tumor treatment. To produce a suitable background activity reference, we examined the variations in standardized uptake values (SUVs) in the blood pool and liver of a large multi-aged population. Methods A total of 2,526 subjects underwent 18F-FDG PET/CT examinations and were divided into 12 age groups. Pearson's partial correlation and multivariate regression analyses were performed to assess the associations between individual factors and SUVs of the blood pool and liver and to identify the factor that most influenced the SUVs. The mean SUVs across the age groups were also determined. Results Positive correlations were found between individual factors and SUVs. Age appeared to be the most important predictor of SUVs and was significantly associated with the blood pool SUVmax (ß=0.466, P=0.000), blood pool SUVmean (ß=0.393, P=0.000), liver SUVmax (ß=0.347, P=0.000), and liver SUVmean (ß=0.354, P=0.000). Blood pool and liver SUVs rose rapidly until the age of 20 and then showed a slow upward trend without reaching a plateau. Conclusions Age is an important factor that influences variations in the blood pool and liver SUVs. Our study clarified this understanding of age-related variations in SUVs and provided a normal range of blood pool and liver SUVs that may aid clinicians in evaluating tumors with greater accuracy.
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Affiliation(s)
- Yuan Cao
- Department of Nuclear Medicine, West China Hospital of Sichuan University, Chengdu, China
| | - Ke Zhou
- Department of Nuclear Medicine, West China Hospital of Sichuan University, Chengdu, China
| | - Wei Diao
- Department of Nuclear Medicine, West China Hospital of Sichuan University, Chengdu, China
| | - Xipeng Long
- Department of Nuclear Medicine, West China Hospital of Sichuan University, Chengdu, China
| | - Fangfang Tian
- Department of Nuclear Medicine, West China Hospital of Sichuan University, Chengdu, China
| | - Minggang Su
- Department of Nuclear Medicine, West China Hospital of Sichuan University, Chengdu, China
| | - Zhiyun Jia
- Department of Nuclear Medicine, West China Hospital of Sichuan University, Chengdu, China
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17
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Abstract
Aging increases the incidence of chronic liver disease (CLD), worsens its prognosis, and represents the predominant risk factor for its development at all different stages. The hepatic sinusoid, which is fundamental for maintaining liver homeostasis, is composed by hepatocytes, liver sinusoidal endothelial cells, hepatic stellate cells, and hepatic macrophages. During CLD progression, hepatic cells suffer deregulations in their phenotype, which ultimately lead to disease development. The effects of aging on the hepatic sinusoid phenotype and function are not well understood, nevertheless, studies performed in experimental models of liver diseases and aging demonstrate alterations in all hepatic sinusoidal cells. This review provides an updated description of age-related changes in the hepatic sinusoid and discusses the implications for CLD development and treatment. Lastly, we propose aging as a novel therapeutic target to treat liver diseases and summarize the most promising therapies to prevent or improve CLD and extend healthspan.
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Affiliation(s)
- Raquel Maeso-Díaz
- Division of Gastroenterology, Department of Medicine, Duke University Health System, Durham, North Carolina
| | - Jordi Gracia-Sancho
- Liver Vascular Biology Research Group, IDIBAPS Biomedical Research Institute, CIBEREHD, Barcelona, Spain.,Division of Hepatology, Department of Biomedical Research, Inselspital, University of Bern, Bern, Switzerland
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18
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Rajesh S, George T, Philips CA, Ahamed R, Kumbar S, Mohan N, Mohanan M, Augustine P. Transjugular intrahepatic portosystemic shunt in cirrhosis: An exhaustive critical update. World J Gastroenterol 2020; 26:5561-5596. [PMID: 33088154 PMCID: PMC7545393 DOI: 10.3748/wjg.v26.i37.5561] [Citation(s) in RCA: 69] [Impact Index Per Article: 13.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/05/2020] [Revised: 07/31/2020] [Accepted: 08/29/2020] [Indexed: 02/06/2023] Open
Abstract
More than five decades after it was originally conceptualized as rescue therapy for patients with intractable variceal bleeding, the transjugular intrahepatic portosystemic shunt (TIPS) procedure continues to remain a focus of intense clinical and biomedical research. By the impressive reduction in portal pressure achieved by this intervention, coupled with its minimally invasive nature, TIPS has gained increasing acceptance in the treatment of complications of portal hypertension. The early years of TIPS were plagued by poor long-term patency of the stents and increased incidence of hepatic encephalopathy. Moreover, the diversion of portal flow after placement of TIPS often resulted in derangement of hepatic functions, which was occasionally severe. While the incidence of shunt dysfunction has markedly reduced with the advent of covered stents, hepatic encephalopathy and instances of early liver failure continue to remain a significant issue after TIPS. It has emerged over the years that careful selection of patients and diligent post-procedural care is of paramount importance to optimize the outcome after TIPS. The past twenty years have seen multiple studies redefining the role of TIPS in the management of variceal bleeding and refractory ascites while exploring its application in other complications of cirrhosis like hepatic hydrothorax, portal hypertensive gastropathy, ectopic varices, hepatorenal and hepatopulmonary syndromes, non-tumoral portal vein thrombosis and chylous ascites. It has also been utilized to good effect before extrahepatic abdominal surgery to reduce perioperative morbidity and mortality. The current article aims to review the updated literature on the status of TIPS in the management of patients with liver cirrhosis.
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Affiliation(s)
- Sasidharan Rajesh
- Division of Hepatobiliary Interventional Radiology, Cochin Gastroenterology Group, Ernakulam Medical Center, Kochi 682028, Kerala, India
| | - Tom George
- Division of Hepatobiliary Interventional Radiology, Cochin Gastroenterology Group, Ernakulam Medical Center, Kochi 682028, Kerala, India
| | - Cyriac Abby Philips
- The Liver Unit and Monarch Liver Lab, Cochin Gastroenterology Group, Ernakulam Medical Center, Kochi 682028, Kerala, India
| | - Rizwan Ahamed
- Gastroenterology and Advanced GI Endoscopy, Cochin Gastroenterology Group, Ernakulam Medical Center, Kochi 682028, Kerala, India
| | - Sandeep Kumbar
- Gastroenterology and Advanced GI Endoscopy, Cochin Gastroenterology Group, Ernakulam Medical Center, Kochi 682028, Kerala, India
| | - Narain Mohan
- The Liver Unit and Monarch Liver Lab, Cochin Gastroenterology Group, Ernakulam Medical Center, Kochi 682028, Kerala, India
| | - Meera Mohanan
- Anesthesia and Critical Care, Cochin Gastroenterology Group, Ernakulam Medical Center, Kochi 682028, Kerala, India
| | - Philip Augustine
- Gastroenterology and Advanced GI Endoscopy, Cochin Gastroenterology Group, Ernakulam Medical Center, Kochi 682028, Kerala, India
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19
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Holzhütter HG, Wuensch T, Gajowski R, Berndt N, Bulik S, Meierhofer D, Stockmann M. A novel variant of the 13C-methacetin liver function breath test that eliminates the confounding effect of individual differences in systemic CO 2 kinetics. Arch Toxicol 2020; 94:401-415. [PMID: 32020249 DOI: 10.1007/s00204-020-02654-0] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2019] [Accepted: 01/27/2020] [Indexed: 12/23/2022]
Abstract
The principle of dynamic liver function breath tests is founded on the administration of a 13C-labeled drug and subsequent monitoring of 13CO2 in the breath, quantified as time series delta over natural baseline 13CO2 (DOB) liberated from the drug during hepatic CYP-dependent detoxification. One confounding factor limiting the diagnostic value of such tests is that only a fraction of the liberated 13CO2 is immediately exhaled, while another fraction is taken up by body compartments from which it returns with delay to the plasma. The aims of this study were to establish a novel variant of the methacetin-based breath test LiMAx that allows to estimate and to eliminate the confounding effect of systemic 13CO2 distribution on the DOB curve and thus enables a more reliable assessment of the hepatic detoxification capacity compared with the conventional LiMAx test. We designed a new test variant (named "2DOB") consisting of two consecutive phases. Phase 1 is initiated by the intravenous administration of 13C-bicarbonate. Phase 2 starts about 30 min later with the intravenous administration of the 13C-labelled test drug. Using compartment modelling, the resulting 2-phasic DOB curve yields the rate constants for the irreversible elimination and the reversible exchange of plasma 13CO2 with body compartments (phase 1) and for the detoxification and exchange of the drug with body compartments (phase 2). We carried out the 2DOB test with the test drug 13C-methacetin in 16 subjects with chronic liver pathologies and 22 normal subjects, who also underwent the conventional LiMAx test. Individual differences in the systemic CO2 kinetics can lead to deviations up to a factor of 2 in the maximum of DOB curves (coefficient of variation CV ≈ 0.2) which, in particular, may hamper the discrimination between subjects with normal or mildly impaired detoxification capacities. The novel test revealed that a significant portion of the drug is not immediately metabolized, but transiently taken up into a storage compartment. Intriguingly, not only the hepatic detoxification rate but also the storage capacity of the drug, turned out to be indicative for a normal liver function. We thus used both parameters to define a scoring function which yielded an excellent disease classification (AUC = 0.95) and a high correlation with the MELD score (RSpearman = 0.92). The novel test variant 2DOB promises a significant improvement in the assessment of impaired hepatic detoxification capacity. The suitability of the test for the reliable characterization of the natural history of chronic liver diseases (fatty liver-fibrosis-cirrhosis) has to be assessed in further studies.
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Affiliation(s)
- Hermann-Georg Holzhütter
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Institute of Biochemistry, Computational Systems Biochemistry Group, Charitéplatz 1, 10117, Berlin, Germany.
| | - Tilo Wuensch
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Department of Surgery, Augustenburger Platz 1, 13353, Berlin, Germany
| | - Robert Gajowski
- Max Planck Institute of Molecular Genetics, Mass Spectroscopy Facility, Ihnestraße 63-73, 14195, Berlin, Germany
- Department of Biology, Chemistry, and Pharmacy, Free University Berlin, Takustraße 3, 14195, Berlin, Germany
| | - Nikolaus Berndt
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Institute of Biochemistry, Computational Systems Biochemistry Group, Charitéplatz 1, 10117, Berlin, Germany
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Institute for Computational and Imaging Science in Cardiovascular Medicine, Augustenburger Platz 1, 13353, Berlin, Germany
| | - Sascha Bulik
- Federal Institute of Risk Assessment, Diedersdorfer Weg 1, 12277, Berlin, Germany
| | - David Meierhofer
- Max Planck Institute of Molecular Genetics, Mass Spectroscopy Facility, Ihnestraße 63-73, 14195, Berlin, Germany
| | - Martin Stockmann
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Department of Surgery, Augustenburger Platz 1, 13353, Berlin, Germany
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20
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Carrier P, Debette-Gratien M, Jacques J, Loustaud-Ratti V. Cirrhotic patients and older people. World J Hepatol 2019; 11:663-677. [PMID: 31598192 PMCID: PMC6783402 DOI: 10.4254/wjh.v11.i9.663] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/17/2019] [Revised: 06/18/2019] [Accepted: 07/16/2019] [Indexed: 02/06/2023] Open
Abstract
The global population is aging, and so the number of older cirrhotic patients is increasing. Older patients are characterised by a risk of frailty and comorbidities, and age is a risk factor for mortality in cirrhotic patients. The incidence of non-alcoholic fatty liver disease as an aetiology of cirrhosis is increasing, while that of chronic viral hepatitis is decreasing. Also, cirrhosis is frequently idiopathic. The management of portal hypertension in older cirrhotic patients is similar to that in younger patients, despite the greater risk of treatment-related adverse events of the former. The prevalence of hepatocellular carcinoma increases with age, but its treatment is unaffected. Liver transplantation is generally recommended for patients < 70 years of age. Despite the increasing prevalence of cirrhosis in older people, little data are available and few recommendations have been proposed. This review suggests that comorbidities have a considerable impact on older cirrhotic patients.
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Affiliation(s)
- Paul Carrier
- Fédération d’Hépatologie, Centre Hospitalier Universitaire Dupuytren de Limoges, Limoges 87042, France
- Faculté de Médecine et de Pharmacie de Limoges, Rue Docteur Marcland, Limoges 87042, France
| | - Marilyne Debette-Gratien
- Fédération d’Hépatologie, Centre Hospitalier Universitaire Dupuytren de Limoges, Limoges 87042, France
- Faculté de Médecine et de Pharmacie de Limoges, Rue Docteur Marcland, Limoges 87042, France
| | - Jérémie Jacques
- Service de Gastroentérologie, Centre Hospitalier Universitaire Dupuytren de Limoges, Limoges 87042, France
| | - Véronique Loustaud-Ratti
- Fédération d’Hépatologie, Centre Hospitalier Universitaire Dupuytren de Limoges, Limoges 87042, France
- Faculté de Médecine et de Pharmacie de Limoges, Rue Docteur Marcland, Limoges 87042, France.
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21
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Gilbo N, Jochmans I, Sainz-Barriga M, Nevens F, van der Merwe S, Laleman W, Verslype C, Cassiman D, Verbeke L, van Malenstein H, Roskams T, Pirenne J, Monbaliu D. Age Matching of Elderly Liver Grafts With Elderly Recipients Does Not Have a Synergistic Effect on Long-term Outcomes When Both Are Carefully Selected. Transplant Direct 2019; 5:e342. [PMID: 30993187 PMCID: PMC6445659 DOI: 10.1097/txd.0000000000000883] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2019] [Accepted: 02/06/2019] [Indexed: 12/13/2022] Open
Abstract
BACKGROUND Older donors and recipients are increasingly considered for liver transplantation. Both donor and recipient age have a negative impact on outcomes. Large registry analyses show that older donors are frequently matched to older recipients. Whether age-related risks accumulate in a synergic negative effect on outcomes because of donor-recipient age matching is poorly understood. METHODS We investigated the impact of donor-recipient age interaction on patient and death-censored graft survival in multivariate Cox regressions in 849 transplants (January 2000 to December 2015). RESULTS Donors 70 years or older did not affect long-term patient or graft survival. Recipient age independently increased the risk of death (hazard ratio [HR], 1.03; 95% confidence interval [CI], 1.02-1.05, P < 0.0001), but donor-recipient age interaction was noninfluential. The negative impact of recipient age on patient survival was significant as early as 6 months after transplantation (HR, 1.06; 95% CI, 1.03-1.09; P = 0.00008). The adjusted risk of death was significant for patients aged 60 to 69 years (HR, 1.995; 95% CI, 1.40-2.85; P < 0.0001) and 70 years or older (HR, 2.001; 95% CI, 1.10-2.66; P = 0.04). In contrast, the risk of graft loss was not influenced by recipient age (HR, 1.02; 95% CI, 0.996-1.04; P = 0.11) or age interaction. CONCLUSIONS Older livers can be safely used in older recipients without jeopardizing graft and patient survival if other risk factors are minimized.
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Affiliation(s)
- Nicholas Gilbo
- Department of Microbiology and Immunology, Laboratory of Abdominal Transplant Surgery, KU Leuven, Leuven, Belgium
- Abdominal Transplant Surgery, University Hospitals Leuven, Leuven, Belgium
| | - Ina Jochmans
- Department of Microbiology and Immunology, Laboratory of Abdominal Transplant Surgery, KU Leuven, Leuven, Belgium
- Abdominal Transplant Surgery, University Hospitals Leuven, Leuven, Belgium
| | - Mauricio Sainz-Barriga
- Department of Microbiology and Immunology, Laboratory of Abdominal Transplant Surgery, KU Leuven, Leuven, Belgium
- Abdominal Transplant Surgery, University Hospitals Leuven, Leuven, Belgium
| | - Frederik Nevens
- Department of Gastroenterology and Hepatology, KU Leuven, Leuven, Belgium
| | | | - Wim Laleman
- Department of Gastroenterology and Hepatology, KU Leuven, Leuven, Belgium
| | - Chris Verslype
- Department of Gastroenterology and Hepatology, KU Leuven, Leuven, Belgium
| | - David Cassiman
- Department of Gastroenterology and Hepatology, KU Leuven, Leuven, Belgium
| | - Len Verbeke
- Department of Gastroenterology and Hepatology, KU Leuven, Leuven, Belgium
| | | | - Tania Roskams
- Department of Imaging and Pathology, Translational Cell and Tissue Research, KU Leuven, Leuven, Belgium
| | - Jacques Pirenne
- Department of Microbiology and Immunology, Laboratory of Abdominal Transplant Surgery, KU Leuven, Leuven, Belgium
- Abdominal Transplant Surgery, University Hospitals Leuven, Leuven, Belgium
| | - Diethard Monbaliu
- Department of Microbiology and Immunology, Laboratory of Abdominal Transplant Surgery, KU Leuven, Leuven, Belgium
- Abdominal Transplant Surgery, University Hospitals Leuven, Leuven, Belgium
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22
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Stahl EC, Haschak MJ, Popovic B, Brown BN. Macrophages in the Aging Liver and Age-Related Liver Disease. Front Immunol 2018; 9:2795. [PMID: 30555477 PMCID: PMC6284020 DOI: 10.3389/fimmu.2018.02795] [Citation(s) in RCA: 117] [Impact Index Per Article: 16.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2018] [Accepted: 11/13/2018] [Indexed: 12/11/2022] Open
Abstract
The number of individuals aged 65 or older is projected to increase globally from 524 million in 2010 to nearly 1. 5 billion in 2050. Aged individuals are particularly at risk for developing chronic illness, while being less able to regenerate healthy tissue and tolerate whole organ transplantation procedures. In the liver, these age-related diseases include non-alcoholic fatty liver disease, alcoholic liver disease, hepatitis, fibrosis, and cirrhosis. Hepatic macrophages, a population comprised of both Kupffer cells and infiltrating monocyte derived macrophages, are implicated in several chronic liver diseases and also play important roles in the homeostatic functions of the liver. The effects of aging on hepatic macrophage population dynamics, polarization, and function are not well understood. Studies performed on macrophages derived from other aged sources, such as the bone marrow, peritoneal cavity, lungs, and brain, demonstrate general reductions in autophagy and phagocytosis, dysfunction in cytokine signaling, and altered morphology and distribution, likely mediated by epigenetic changes and mitochondrial defects, that may be applicable to hepatic macrophages. This review highlights recent findings in macrophage developmental biology and function, particularly in the liver, and discusses the role of macrophages in various age-related liver diseases. A better understanding of the biology of aging that influences hepatic macrophages and thus the progression of chronic liver disease will be crucial in order to develop new interventions and treatments for liver disease in aging populations.
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Affiliation(s)
- Elizabeth C Stahl
- Department of Bioengineering, Pittsburgh Liver Research Center, McGowan Institute for Regenerative Medicine, University of Pittsburgh, Pittsburgh, PA, United States
| | - Martin J Haschak
- Department of Bioengineering, Pittsburgh Liver Research Center, McGowan Institute for Regenerative Medicine, University of Pittsburgh, Pittsburgh, PA, United States
| | - Branimir Popovic
- Department of Bioengineering, Pittsburgh Liver Research Center, McGowan Institute for Regenerative Medicine, University of Pittsburgh, Pittsburgh, PA, United States
| | - Bryan N Brown
- Department of Bioengineering, Pittsburgh Liver Research Center, McGowan Institute for Regenerative Medicine, University of Pittsburgh, Pittsburgh, PA, United States
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23
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Khan MS, Roberts MS. Challenges and innovations of drug delivery in older age. Adv Drug Deliv Rev 2018; 135:3-38. [PMID: 30217519 DOI: 10.1016/j.addr.2018.09.003] [Citation(s) in RCA: 41] [Impact Index Per Article: 5.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2018] [Revised: 08/31/2018] [Accepted: 09/07/2018] [Indexed: 12/12/2022]
Abstract
Both drug delivery performance and various age-related physical, mental and physiological changes can affect drug effectiveness and safety in elderly patients. The many drug delivery systems developed over the years include recent novel transdermal, nasal, pulmonary and orally disintegrating tablets that provide consistent, precise, timely and more targeted drug delivery. Certain drug delivery systems may be associated with suboptimal outcomes in the elderly because of the nature of drug present, a lack of appreciation of the impact of age-related changes in drug absorption, distribution and clearance, the limited availability of pharmacokinetic, safety and clinical data. Polypharmacy, patient morbidity and poor adherence can also contribute to sub-optimal drug delivery systems outcomes in the elderly. The development of drug delivery systems for the elderly is a poorly realised opportunity, with each system having specific advantages and limitations. A key challenge is to provide the innovation that best meets the specific physiological, psychological and multiple drug requirements of individual elderly patients.
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24
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Löhr JM, Panic N, Vujasinovic M, Verbeke CS. The ageing pancreas: a systematic review of the evidence and analysis of the consequences. J Intern Med 2018; 283:446-460. [PMID: 29474746 DOI: 10.1111/joim.12745] [Citation(s) in RCA: 71] [Impact Index Per Article: 10.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
Senior people constitute the fastest growing segment of the population. The elderly are at risk for malnutrition, thought to be caused by reduced food intake or involution of the physiological capacity of the GI tract. Age-related changes are well known in other secretory organs such as liver, kidney and intestine. The pancreas, representing a metabolically active organ with uptake and breakdown of essential nutritional components, changes its morphology and function with age. During childhood, the volume of the pancreas increases, reaching a plateau between 20 and 60 years, and declines thereafter. This decline involves the pancreatic parenchyma and is associated with decreased perfusion, fibrosis and atrophy. As a consequence of these changes, pancreatic exocrine function is impaired in healthy older individuals without any gastrointestinal disease. Five per cent of people older than 70 years and ten per cent older than 80 years have pancreatic exocrine insufficiency (PEI) with a faecal elastase-1 below 200 μg g-1 stool, and 5% have severe PEI with faecal elastase-1 below 100 μg g-1 stool. This may lead to maldigestion and malnutrition. Patients may have few symptoms, for example steatorrhoea, diarrhoea, abdominal pain and weight loss. Malnutrition consists of deficits of fat-soluble vitamins and is affecting both patients with PEI and the elderly. Secondary consequences may include decreased bone mineral density and results from impaired absorption of fat-soluble vitamin D due to impaired pancreatic exocrine function. The unanswered question is whether this age-related decrease in pancreatic function warrants therapy. Therapeutic intervention, which may consist of supplementation of pancreatic enzymes and/or vitamins in aged individuals with proven exocrine pancreas insufficiency, could contribute to healthy ageing.
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Affiliation(s)
- J-M Löhr
- Center for Digestive Diseases, Karolinska University Hospital, Stockholm, Sweden
- CLINTEC, Karolinska Institutet, Stockholm, Sweden
| | - N Panic
- University Hospital Dr. Dragisa Misovic-Dedinje, Belgrade, Serbia
| | - M Vujasinovic
- Center for Digestive Diseases, Karolinska University Hospital, Stockholm, Sweden
| | - C S Verbeke
- Department of Pathology, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
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25
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Inorganic nitrate alleviates the senescence-related decline in liver function. SCIENCE CHINA-LIFE SCIENCES 2018; 61:24-34. [PMID: 29307111 DOI: 10.1007/s11427-017-9207-x] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/07/2017] [Accepted: 10/26/2017] [Indexed: 12/23/2022]
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26
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Shibany KA, Tötemeyer S, Pratt SL, Paine SW. The effects of aging on hepatic microsomal scaling factor and hepatocellularity number in the horse. Xenobiotica 2017; 48:1237-1244. [PMID: 29198170 DOI: 10.1080/00498254.2017.1413263] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
1. Scaling factor values for the in vitro-in vivo extrapolation of hepatic metabolic clearance for xenobiotics have not yet been determined in horses. Scaling factors were determined by comparing the total protein and or cytochrome (CYP) P450 content in microsomes and cryopreserved hepatocytes against the content in the liver. 2. Microsomal protein per gram of liver (MPPGL) and hepatocellularity number per gram of liver (HPGL) using CYP P450 content method ranged 41-73 mg/gram of liver (mean= 57 mg/gram of liver, n = 39) and 146-320 × 106 cells/g of liver (mean = 227× 106 cells/g of liver, n = 18), respectively and 156-352 × 106 cells/g of liver (mean = 232× 106 cells/g of liver) using total protein method. 3. A non-monotonic and inverse relationship between age and MPPGL and HPGL, respectively, was observed. Between one and 20 y of age, the liver cell size decreases as age increases. Subsequently, the cell size increases until the hepatocytes of the oldest horses approached the size found in the youngest horses. Hepatocyte density was inversely related to the size of the hepatocytes. 4. This study provides the first extensive and comprehensive data demonstrating the relationship between the size of hepatocytes and HPGL in any species.
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Affiliation(s)
- Khaled A Shibany
- a School of Veterinary Medicine and Sciences , University of Nottingham , Sutton Bonington , Leicestershire , UK and.,b Departement of Internal Medicine , Faculty of Veterinary Medicine, University of Tripoli , Tripoli , Libya
| | - Sabine Tötemeyer
- a School of Veterinary Medicine and Sciences , University of Nottingham , Sutton Bonington , Leicestershire , UK and
| | - Stefanie L Pratt
- a School of Veterinary Medicine and Sciences , University of Nottingham , Sutton Bonington , Leicestershire , UK and
| | - Stuart W Paine
- a School of Veterinary Medicine and Sciences , University of Nottingham , Sutton Bonington , Leicestershire , UK and
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27
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Abstract
As the HIV population continues to live longer as a result of antiretroviral therapy, liver-related mortality has become one of the leading causes of non-AIDS related death in this patient population. The liver possesses a remarkable regenerative capacity but undergoes complex biological changes in response to aging and inflammation that result in decreased cellular regeneration and a tipping of the scales towards fibrogenesis. Patients with HIV infection have serological evidence of ongoing inflammation, with elevations in some biomarkers persisting despite adequate virologic control. In addition, HIV-co-infected patients have markers of advanced age on liver biopsy and increased prevalence of fibrosis as compared to an age-matched HCV mono-infected cohort. In this review, we will discuss the biology of aging, age-related changes in the liver, and the relevant mechanisms by which HIV causes inflammation in the context of accelerated aging, fibrosis of the liver, and other viral co-infection.
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Affiliation(s)
- Austin W Chan
- Division of Infectious Diseases, Department of Medicine, Duke University School of Medicine, 315 Trent Dr, PO Box 102359, Durham, NC, 27710, USA.
| | - Yuval A Patel
- Division of Gastroenterology, Department of Medicine, Duke University School of Medicine, Durham, NC, USA
| | - Steve Choi
- Division of Gastroenterology, Durham VA Medical Center, Duke University School of Medicine, Durham, NC, USA
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28
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Abstract
Mortality rates on the liver transplant waiting list are increasing. The shortage of organs has resulted in higher utilization of extended criteria donors (ECDs), with centers pushing the limits of what is acceptable for transplantation. Donor quality is more appropriately represented as a continuum of risk, and careful selection and matching of ECD grafts with recipients may lead to excellent outcomes. Although there is no precise definition for what constitutes an ECD liver, this review focuses on frequently cited characteristics, including donor age, steatosis, donation after cardiac death, and donors with increased risk of disease transmission.
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Affiliation(s)
- Irine Vodkin
- Division of Gastroenterology and Hepatology, University of California, San Diego, 200 West Arbor Drive M/C 8413, San Diego, CA, USA.
| | - Alexander Kuo
- Division of Gastroenterology and Hepatology, University of California, San Diego, 200 West Arbor Drive M/C 8413, San Diego, CA, USA
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29
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Harada PHN, Cook NR, Cohen DE, Paynter NP, Rose L, Ridker PM. Relation of Alanine Aminotransferase Levels to Cardiovascular Events and Statin Efficacy. Am J Cardiol 2016; 118:49-55. [PMID: 27317931 DOI: 10.1016/j.amjcard.2016.04.012] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/09/2015] [Revised: 04/08/2016] [Accepted: 04/08/2016] [Indexed: 12/23/2022]
Abstract
The relation between hepatic serum markers within the normal range and cardiovascular risk is uncertain. We sought to address this issue within a prospective randomized trial of statin therapy. Men and women (n = 17,515) free of cardiovascular disease participating in a randomized placebo controlled trial of rosuvastatin 20 mg/day had baseline levels of alanine aminotransferase (ALT) below <40 IU/l and were followed prospectively for the first-ever cardiovascular events. Cox proportional hazards models were used to calculate the relative risks of these events according to increasing tertiles and each SD increase in baseline ALT levels. ALT levels at study entry, all within the normal range, were inversely associated with age, smoking status, and inflammation and were positively associated with male gender, alcohol use, and triglycerides. Incident cardiovascular event rates were highest in those in the lowest tertile of baseline ALT; specifically, incidence rates were 1.43, 0.98, and 0.85 per 100 person-years of exposure for those in the lowest, middle, and highest tertile of baseline ALT within the normal range, respectively (p <0.001). These inverse effects remained statistically significant after multivariate adjustment for a wide range of vascular risk factors risk markers such that each higher SD unit of ALT was associated with an 18% lower event rate (relative risk 0.82, 95% confidence interval 0.72 to 0.93, p = 0.002). The efficacy of statin therapy was not modified by baseline ALT level. In conclusion, increasing ALT levels within the normal range are inversely associated with future cardiovascular risk but had limited clinical utility and also did not modify the efficacy of statin therapy.
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Affiliation(s)
- Paulo H N Harada
- Center for Cardiovascular Disease Prevention, Divisions of Preventive Medicine and Cardiovascular Diseases, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Nancy R Cook
- Center for Cardiovascular Disease Prevention, Divisions of Preventive Medicine and Cardiovascular Diseases, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | - David E Cohen
- Division of Gastroenterology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Nina P Paynter
- Center for Cardiovascular Disease Prevention, Divisions of Preventive Medicine and Cardiovascular Diseases, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Lynda Rose
- Center for Cardiovascular Disease Prevention, Divisions of Preventive Medicine and Cardiovascular Diseases, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Paul M Ridker
- Center for Cardiovascular Disease Prevention, Divisions of Preventive Medicine and Cardiovascular Diseases, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts.
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30
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Williams KH, Sullivan DR, Nicholson GC, George J, Jenkins AJ, Januszewski AS, Gebski VJ, Manning P, Tan YM, Donoghoe MW, Ehnholm C, Young S, O'Brien R, Buizen L, Twigg SM, Keech AC. Opposite associations between alanine aminotransferase and γ-glutamyl transferase levels and all-cause mortality in type 2 diabetes: Analysis of the Fenofibrate Intervention and Event Lowering in Diabetes (FIELD) study. Metabolism 2016; 65:783-793. [PMID: 27085785 DOI: 10.1016/j.metabol.2015.12.008] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/31/2015] [Revised: 12/10/2015] [Accepted: 12/16/2015] [Indexed: 01/01/2023]
Abstract
AIMS Reported associations between liver enzymes and mortality may not hold true in type 2 diabetes, owing to a high prevalence of non-alcoholic fatty liver disease, which has been linked to cardiovascular disease and mortality in its own right. Our study aimed to determine whether alanine aminotransferase (ALT) or γ-glutamyl transferase (GGT) levels predict mortality in type 2 diabetes, and to examine possible mechanisms. METHODS Data from the Fenofibrate Intervention and Event Lowering in Diabetes (FIELD) study were analyzed to examine the relationship between liver enzymes and all-cause and cause-specific mortality over 5years. RESULTS Over 5years, 679 (6.9%) individuals died. After adjustment, for every standard deviation increase in ALT (13.2U/L), the HR for death on study was 0.85 (95% CI 0.78-0.93), p<0.001. Conversely, GGT >70U/L, compared with GGT ≤70U/L, had HR 1.82 (1.48-2.24), p<0.001. For cause-specific mortality, lower ALT was associated with a higher risk of cardiovascular death only, whereas GGT >70U/L was associated with higher risks of death due to cardiovascular disease, cancer and non-cancer/non-cardiovascular causes. The relationship for ALT persisted after adjustment for indirect measures of frailty but was attenuated by elevated hsCRP. CONCLUSIONS As in the general population, ALT has a negative, and GGT a positive, correlation with mortality in type 2 diabetes when ALT is less than two times the upper limit of normal. The relationship for ALT appears specific for death due to cardiovascular disease. Links of low ALT with frailty, as a potential mechanism for relationships seen, were neither supported nor conclusively refuted by our analysis and other factors are also likely to be important in those with type 2 diabetes.
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Affiliation(s)
- Kathryn H Williams
- Sydney Medical School, University of Sydney, Sydney NSW, Australia; Royal Prince Alfred Hospital, Sydney NSW, Australia; National Health and Medical Research Council Clinical Trials Centre, University of Sydney, Sydney NSW, Australia
| | - David R Sullivan
- Royal Prince Alfred Hospital, Sydney NSW, Australia; National Health and Medical Research Council Clinical Trials Centre, University of Sydney, Sydney NSW, Australia
| | | | - Jacob George
- Sydney Medical School, University of Sydney, Sydney NSW, Australia; Storr Liver Unit, Westmead Millennium Institute, Westmead Hospital, Sydney NSW, Australia
| | - Alicia J Jenkins
- National Health and Medical Research Council Clinical Trials Centre, University of Sydney, Sydney NSW, Australia
| | - Andrzej S Januszewski
- National Health and Medical Research Council Clinical Trials Centre, University of Sydney, Sydney NSW, Australia
| | - Val J Gebski
- National Health and Medical Research Council Clinical Trials Centre, University of Sydney, Sydney NSW, Australia
| | - Patrick Manning
- Department of Medical and Surgical Sciences, Dunedin School of Medicine, Dunedin, New Zealand
| | - Yong Mong Tan
- Townsville Diabetes and Endocrine Unit, Townsville Hospital, Townsville QLD, Australia
| | - Mark W Donoghoe
- National Health and Medical Research Council Clinical Trials Centre, University of Sydney, Sydney NSW, Australia
| | | | - Simon Young
- Diabetes Clinic, Northshore Hospital, Auckland, New Zealand
| | | | - Luke Buizen
- National Health and Medical Research Council Clinical Trials Centre, University of Sydney, Sydney NSW, Australia
| | - Stephen M Twigg
- Sydney Medical School, University of Sydney, Sydney NSW, Australia; Royal Prince Alfred Hospital, Sydney NSW, Australia
| | - Anthony C Keech
- Royal Prince Alfred Hospital, Sydney NSW, Australia; National Health and Medical Research Council Clinical Trials Centre, University of Sydney, Sydney NSW, Australia.
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31
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Outcome of hepatectomy for hepatocellular carcinoma in elderly patients with portal hypertension. Int Surg 2015; 99:153-60. [PMID: 24670026 DOI: 10.9738/intsurg-d-13-00213.1] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022] Open
Abstract
The outcome of liver resection (LR) for elderly hepatocellular carcinoma (HCC) patients with portal hypertension (PHT) who may be excluded as liver transplantation candidates has not been fully evaluated. One hundred ninety-five patients who underwent initial curative LR for HCC with PHT were divided into 2 groups: age <70 years (n = 131) and age ≥70 years (n = 64). Clinicopathologic data and postoperative complications were compared. Preoperative characteristics and postoperative complications were similar in both groups. However, in-hospital mortality was significantly more frequent in elderly than in younger patients (11% versus 1%, P = 0.002). No significant intergroup differences were observed in the 5-year disease-free survival rate or recurrence rate (19.7% versus 17.2%; P = 0.338, 63% versus 56%; P = 0.339). Although LR for elderly HCC patients with PHT can be performed with curative intent and gives results comparable with those in younger patients, it is associated with higher in-hospital mortality.
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Abstract
PURPOSE OF REVIEW Aging is a condition in which a person gradually loses the ability to maintain homeostasis, due to structural alteration or dysfunction. Aging is a major risk factor for most chronic diseases. As the liver has a remarkable ability to regenerate, this review assessed the effect of aging on clinical liver disease with references to preclinical models when relevant to pathogenesis. RECENT FINDINGS Aging has been shown to not only enhance vulnerability to acute liver injury but also increase susceptibility of the fibrotic response. Aging is associated with the severity and poor prognosis of various liver diseases including nonalcoholic fatty liver disease, alcoholic liver disease, hepatitis C, and liver transplantation. SUMMARY Treatment of older patients with liver disease may require different or longer interventions. Transplantation of an older liver will be less tolerant of subsequent injury. Future studies are needed to understand more about the molecular mechanism of aging and contribute to the development of a noble treatment strategy that can block the progression of aging-induced liver diseases.
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Affiliation(s)
- Hee Kim
- Department of Internal Medicine, Chonbuk National University Medical School, Jeonju, South Korea
| | - Tatiana Kisseleva
- Department of Internal Medicine, School of Medicine, University of California, San Diego, La Jolla, California, USA
| | - David A. Brenner
- Department of Internal Medicine, School of Medicine, University of California, San Diego, La Jolla, California, USA
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Kim JM, Cho BI, Kwon CHD, Joh JW, Park JB, Lee JH, Kim SJ, Paik SW, Park CK. Hepatectomy is a reasonable option for older patients with hepatocellular carcinoma. Am J Surg 2015; 209:391-7. [PMID: 25682096 DOI: 10.1016/j.amjsurg.2013.06.010] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2013] [Revised: 06/09/2013] [Accepted: 06/14/2013] [Indexed: 12/23/2022]
Abstract
BACKGROUND Hepatic resection is the main treatment for patients with hepatocellular carcinoma. However, surgery is generally stressful for older patients. METHODS Clinicopathologic data and outcomes after hepatic resection were retrospectively investigated for older patients with hepatocellular carcinoma. The younger group (n = 219) included patients aged 60 to 69 years, and the older group (n = 60) included patients >70 years of age. RESULTS Hepatitis B virus was more common in the younger group than in the older group (64.5% vs 28.8%, P < .001). The occurrence of pneumonia was higher in older group than in the younger group (10.0% vs 2.3%, P = .015), but postoperative complications and mortality were not significantly different between the 2 groups. There was no statistically significant difference in disease-free survival rates between the 2 groups. CONCLUSIONS Although the incidence of postoperative pneumonia was higher in the older group than in the younger group, hepatic resection was justified for hepatocellular carcinoma in selected patients >70 years of age.
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Affiliation(s)
- Jong Man Kim
- Department of Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, 50 Irwon-Dong Gangnam-Gu, Seoul 135-710, Korea
| | - Bong Ick Cho
- Department of Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, 50 Irwon-Dong Gangnam-Gu, Seoul 135-710, Korea
| | - Choon Hyuck David Kwon
- Department of Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, 50 Irwon-Dong Gangnam-Gu, Seoul 135-710, Korea
| | - Jae-Won Joh
- Department of Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, 50 Irwon-Dong Gangnam-Gu, Seoul 135-710, Korea.
| | - Jae Berm Park
- Department of Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, 50 Irwon-Dong Gangnam-Gu, Seoul 135-710, Korea
| | - Joon Hyeok Lee
- Division of Gastroenterology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Sung Joo Kim
- Department of Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, 50 Irwon-Dong Gangnam-Gu, Seoul 135-710, Korea
| | - Seung Woon Paik
- Division of Gastroenterology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Cheol Keun Park
- Department of Pathology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
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Wang K, Jiang WT, Deng YL, Pan C, Shen ZY. Effect of donor age on graft function and long-term survival of recipients undergoing living donor liver transplantation. Hepatobiliary Pancreat Dis Int 2015; 14:50-5. [PMID: 25655290 DOI: 10.1016/s1499-3872(15)60334-4] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
BACKGROUND Donor shortage is the biggest obstacle in organ transplantation. Living donor liver transplantation (LDLT) has been considered as a valuable approach to shortening waiting time. The objectives of this study were to investigate the feasibility of utilizing donors older than 50 years in LDLT and to evaluate the graft function and recipient survival. METHODS All LDLT cases (n=159) were divided into the older (donor age≥50 years, n=10) and younger (donor age<50 years, n=149) donor groups. Donor graft and recipient condition pre-, intra- and post-operation were compared between the two groups. In particular, graft functions and recipient survivals were analyzed. RESULTS The median donor age was 58.5 (52.5-60.0) years in the older donor group and 25.0 (23.0-32.0) in the younger donor group. There was no significant difference in cold ischemic time, anhepatic phase and operation time between the older and younger donor groups (P>0.05). However, the volume of red blood cell transfused in operation was greater in the older donor group than in the younger donor group (1900 vs 1200 mL, P=0.023). The 1-, 3- and 5-year graft survival rates were 90%, 80% and 80% for the older donor group, and 92%, 87% and 87% for the younger donor group, respectively (P=0.459). The 1-, 3- and 5-year survival rates were 100%, 90% and 90% for recipients with older grafts, and 93%, 87% and 87% for those with younger grafts, respectively (P=0.811). CONCLUSION It is safe for a LDLT recipient to receive liver from donors older than 50 years, and there is no significant adverse effect on graft function and long-term patients' survival.
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Affiliation(s)
- Kai Wang
- Department of Transplant Surgery, Tianjin First Center Hospital, Key Laboratory of Organ Transplantation of Tianjin, Tianjin 300192, China.
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Kono Y, Kariya S, Komemushi A, Nakatani M, Yoshida RY, Suzuki S, Ha-Kawa SK, Utsunomiya K, Ueno Y, Satoi S, Kaibori M, Kon M, Tanigawa N. Comparison of Tc-99m GSA scintigraphy and CT volumetry for evaluation in portal vein embolization. MINIM INVASIV THER 2014; 23:241-6. [PMID: 24621300 DOI: 10.3109/13645706.2014.897955] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/19/2023]
Abstract
PURPOSE To determine the correlation of the rate of change of each future remnant liver (FRL) before and after portal vein embolization (PVE), by CT volumetry and Tc-99m galactosyl human serum albumin scintigraphy (GSA scintigraphy). MATERIAL AND METHODS From December 2007 to July 2012, ten patients underwent PVE before hepatic resection. CT volumetry and GSA scintigraphy were performed before and after PVE. The FRL was divided at Cantlie's line for CT volumetry, and volume change rates before and after PVE were calculated. The maximum removal rate (Rmax) was calculated using a radiopharmacokinetic model in GSA scintigraphy. The FRL Rmax change rates before and after PVE were calculated. The correlation between the volume change rates and the Rmax change rates was analyzed. RESULTS The FRL volume change rate was 1.28 ± 0.26 (mean ± SD); the FRL hypertrophied in all patients significantly (p = 0.005). The FRL Rmax change rate was 1.66 ± 0.75; excluding one patient, there was significant FRL Rmax increase (p = 0.022). Although both increased significantly, no correlation between the volume change rate and the Rmax change rate was observed. CONCLUSION No correlation was observed between the FRL volume rate and the Rmax rate.
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Affiliation(s)
- Yumiko Kono
- Department of Radiology, Kansai Medical University , Osaka , Japan
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Parvinian A, Shah KD, Couture PM, Minocha J, Knuttinen MG, Bui JT, Gaba RC. Older patient age may predict early mortality after transjugular intrahepatic portosystemic shunt creation in individuals at intermediate risk. J Vasc Interv Radiol 2013; 24:941-6. [PMID: 23707226 DOI: 10.1016/j.jvir.2013.03.018] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2012] [Revised: 03/11/2013] [Accepted: 03/19/2013] [Indexed: 02/06/2023] Open
Abstract
PURPOSE To identify prognostic factors for early mortality among patients with intermediate-risk Model for End-stage Liver Disease (MELD) scores undergoing transjugular intrahepatic portosystemic shunt (TIPS) creation. MATERIALS AND METHODS In this single-institution retrospective study, 47 patients (31 men; mean age, 54 y) with intermediate MELD scores (ie, 18-25) underwent TIPS creation between 1999 and 2012. Medical records were reviewed to identify demographic (age, sex), liver disease (Child-Pugh, MELD), and procedure data (indication, urgency, stent type, portosystemic pressure gradient reduction, complications), and the influence of these parameters on 90-day mortality was assessed by multivariate binary logistic regression analysis. RESULTS TIPSs were successfully created for variceal hemorrhage (n = 24), ascites (n = 17), hydrothorax (n = 5), and portal vein thrombosis (n = 1). Hemodynamic success rate was 94% (44 of 47), and mean portosystemic pressure gradient reduction was 13 mm Hg. The 90-day mortality rate was 36% (17 of 47). Patient age (P = .026) was significantly associated with 90-day mortality. Mean ages of living versus dead patients were 51 and 60 years, and mortality rates in patients aged 54 years or younger versus 55 years or older were 21% (five of 24) and 52% (12 of 23), respectively. There was no difference in MELD scores between these age groups (20.6 vs 21.0; P = .600), and MELD score was not a predictive factor on regression analysis. CONCLUSIONS Age is a prognostic factor for early mortality in TIPS recipients with intermediate MELD scores. Mortality rates are higher in patients at least 55 years of age, but MELD score does not predict survival in this subset. Age should be contemplated when selecting patients at intermediate risk for TIPS creation.
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Affiliation(s)
- Ahmad Parvinian
- Department of Radiology/Section of Interventional Radiology, University of Illinois Hospital and Health Sciences System, Chicago, IL 60612, USA
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Jones K, Timchenko L, Timchenko NA. The role of CUGBP1 in age-dependent changes of liver functions. Ageing Res Rev 2012; 11:442-9. [PMID: 22446383 DOI: 10.1016/j.arr.2012.02.007] [Citation(s) in RCA: 25] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2011] [Revised: 02/09/2012] [Accepted: 02/10/2012] [Indexed: 12/14/2022]
Abstract
Aging liver is characterized by alterations of liver biology and by a reduction of many functions which are important for the maintenance of body homeostasis. The main dysfunctions include appearance of enlarged hepatocytes, impaired liver regeneration after partial hepatectomy (PH), development of hepatic steatosis, reduction of secretion of proteins and alterations in the hepatic sinusoid. RNA binding proteins are involved in the regulation of gene expression in all tissues including regulation of biological processes in the liver. This review is focused on the role of a conserved, multi-functional RNA-binding protein, CUGBP1, in the development of aging phenotype in the liver. CUGBP1 has been identified as a protein which binds to RNA CUG repeats expanded in Myotonic Dystrophy type 1 (DM1). CUGBP1 is highly expressed in the liver and regulates translation of proteins which are critical for maintenance of liver functions. In livers of young mice, CUGBP1 forms complexes with eukaryotic translation initiation factor eIF2 and supports translation of C/EBPβ and HDAC1 proteins, which are involved in liver growth, differentiation and liver cancer. Aging changes several signaling pathways which lead to the elevation of the CUGBP1-eIF2α complex and to an increase of translation of C/EBPβ and HDAC1. These proteins form multi-protein complexes with additional transcription factors and with chromatin remodeling proteins causing epigenetic alterations of gene expression in livers of old mice. It appears that CUGBP1-mediated translational elevation of HDAC1 is one of the key events in the epigenetic changes in livers of old mice, leading to the development of age-associated dysfunctions of the liver. This review will also discuss a possible role of CUGBP1 in liver dysfunction in patients affected with DM1.
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Liu J, Wu Q, Xu Y, Bai Y, Liu Z, Li H, Zhu J. Assessment of pulmonary vasculature volume with automated threshold-based 3D quantitative CT volumetry: In vitro and in vivo validation. Eur J Radiol 2012; 81:1040-4. [DOI: 10.1016/j.ejrad.2011.01.119] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2010] [Revised: 01/24/2011] [Accepted: 01/28/2011] [Indexed: 10/17/2022]
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Dong MH, Bettencourt R, Brenner DA, Barrett-Connor E, Loomba R. Serum levels of alanine aminotransferase decrease with age in longitudinal analysis. Clin Gastroenterol Hepatol 2012; 10:285-90.e1. [PMID: 22020064 PMCID: PMC3288181 DOI: 10.1016/j.cgh.2011.10.014] [Citation(s) in RCA: 47] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/24/2011] [Revised: 09/23/2011] [Accepted: 10/06/2011] [Indexed: 02/07/2023]
Abstract
BACKGROUND & AIMS An increased level of alanine aminotransferase (ALT) is a marker of liver injury. The mean ALT level has been reported to decrease with age; we performed a longitudinal analysis to determine whether serum levels of ALT changes with age among community-dwelling, older adults in the US. METHODS We analyzed clinical data from 2 cohorts of individuals who participated in the Rancho Bernardo Study, in Southern CA. The first cohort comprised 1073 community-dwelling participants (59% women); clinical data was collected from 1984-1987 and 1992-1997. The second cohort comprised 416 participants (64% women); data was collected from 1984-1987, 1992-1997, and 1997-1999. Demographic, metabolic covariates, ALT, bilirubin, and albumin were measured. Changes in individual ALT over time were examined in unadjusted and multivariable-adjusted linear and logistic regression analyses. RESULTS At the baseline visit, the patients' mean age was 65.7 years and body mass index was 24.9 kg/m(2). In cohort 1, the mean levels of ALT decreased with age by 10% (from 21 to 19 IU/L) between the time periods of 1984-1987 and 1992-1997 (P < .0001). In cohort 2, they decreased by 20% (from 20 to 16 IU/L) between the time periods of 1984-1987 and 1997-1999 (P < .0001). Categorically-defined increases in ALT also decreased with age (P < .0001). Results remained consistent in sex-specific analyses and after adjusting for metabolic syndrome components, alcohol use, bilirubin, and serum levels of albumin (P < .0001). CONCLUSIONS In a longitudinal analysis, we observed that levels of ALT decrease with age, independent of sex, metabolic factors, alcohol use, and results from commonly used liver function tests (bilirubin and albumin). When interpreting serum levels of ALT, physicians should consider patients' age especially in the elderly.
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Affiliation(s)
- Mamie H Dong
- Division of Gastroenterology, Department of Medicine, University of California, San Diego, La Jolla, CA 92093
| | - Ricki Bettencourt
- Division of Epidemiology, Department of Family and Preventive Medicine, University of California, San Diego, La Jolla, CA 92093
| | - David A Brenner
- Division of Gastroenterology, Department of Medicine, University of California, San Diego, La Jolla, CA 92093
| | - Elizabeth Barrett-Connor
- Division of Epidemiology, Department of Family and Preventive Medicine, University of California, San Diego, La Jolla, CA 92093
| | - Rohit Loomba
- Division of Gastroenterology, Department of Medicine, University of California, San Diego, La Jolla, CA 92093,Division of Epidemiology, Department of Family and Preventive Medicine, University of California, San Diego, La Jolla, CA 92093
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Incidence of early burn-induced effects on liver function as reflected by the plasma disappearance rate of indocyanine green: A prospective descriptive cohort study. Burns 2012; 38:214-24. [DOI: 10.1016/j.burns.2011.08.017] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2011] [Revised: 08/24/2011] [Accepted: 08/25/2011] [Indexed: 12/23/2022]
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Marchesini G, Targher G. Commentary: Liver enzymes and the risk of adverse cardiovascular outcomes--the lower, the better? Int J Epidemiol 2011; 40:1539-41. [DOI: 10.1093/ije/dyr187] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022] Open
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Dong MH, Bettencourt R, Barrett-Connor E, Loomba R. Alanine aminotransferase decreases with age: the Rancho Bernardo Study. PLoS One 2010; 5:e14254. [PMID: 21170382 PMCID: PMC2999530 DOI: 10.1371/journal.pone.0014254] [Citation(s) in RCA: 68] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2010] [Accepted: 11/09/2010] [Indexed: 12/23/2022] Open
Abstract
Background Serum alanine aminotransferase (ALT) is a marker of liver injury. The 2005 American Gastroenterology Association Future Trends Committee report states that serum ALT levels remain constant with age. This study examines the association between serum ALT and age in a community-dwelling cohort in the United States. Methods A cross-sectional study of 2,364 (54% female) participants aged 30–93 years from the Rancho Bernardo Study cohort who attended a research clinic visit in 1984–87. Demographic, metabolic co-variates, ALT, bilirubin, gamma glutamyl transferase (GGT), albumin, and adiposity signaling biomarkers (leptin, IL-6, adiponectin, ghrelin) were measured. Participants were divided into four-groups based upon age quartile, and multivariable-adjusted least squares of means (LSM) were examined (p for trend <0.05). Results ALT decreased with increasing age, with mean ALT levels (IU/L) of 23, 21, 20, and 17 for those between quartile ages 30–62, 63–71, 72–77, and 78–93 years (p<0.0001). Trends of decreasing LSM ALT with age and the decreasing prevalence of categorically defined elevated serum ALT with age remained robust after adjusting for sex, alcohol use, metabolic syndrome components, and biomarkers of adiposity (p-value <0.0001), and was not materially changed after adjusting for bilirubin, GGT, and albumin. Conclusions ALT levels decrease with age in both men and women independent of metabolic syndrome components, adiposity signaling biomarkers, and other commonly used liver function tests. Further studies are needed to understand the mechanisms responsible for a decline in ALT with age, and to establish the optimal cut-point of normal ALT in the elderly.
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Affiliation(s)
- Mamie H. Dong
- Division of Gastroenterology, Department of Medicine, University of California San Diego, La Jolla, California, United States of America
| | - Ricki Bettencourt
- Division of Epidemiology, Department of Family and Preventive Medicine, University of California San Diego, La Jolla, California, United States of America
| | - Elizabeth Barrett-Connor
- Division of Epidemiology, Department of Family and Preventive Medicine, University of California San Diego, La Jolla, California, United States of America
| | - Rohit Loomba
- Division of Gastroenterology, Department of Medicine, University of California San Diego, La Jolla, California, United States of America
- Division of Epidemiology, Department of Family and Preventive Medicine, University of California San Diego, La Jolla, California, United States of America
- * E-mail:
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Wang Z, Ying Z, Bosy-Westphal A, Zhang J, Schautz B, Later W, Heymsfield SB, Müller MJ. Specific metabolic rates of major organs and tissues across adulthood: evaluation by mechanistic model of resting energy expenditure. Am J Clin Nutr 2010; 92:1369-77. [PMID: 20962155 PMCID: PMC2980962 DOI: 10.3945/ajcn.2010.29885] [Citation(s) in RCA: 370] [Impact Index Per Article: 24.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022] Open
Abstract
BACKGROUND The specific resting metabolic rates (K(i); in kcal · kg(-1 )· d(-1)) of major organs and tissues in adults were suggested by Elia (in Energy metabolism: tissue determinants and cellular corollaries. New York, NY: Raven Press, 1992) to be as follows: 200 for liver, 240 for brain, 440 for heart and kidneys, 13 for skeletal muscle, 4.5 for adipose tissue, and 12 for residual organs and tissues. However, Elia's K(i) values have never been fully evaluated. OBJECTIVES The objectives of the present study were to evaluate the applicability of Elia's K(i) values across adulthood and to explore the potential influence of age on the K(i) values. DESIGN A new approach was developed to evaluate the K(i) values of major organs and tissues on the basis of a mechanistic model: REE = Σ(K(i) × T(i)), where REE is whole-body resting energy expenditure measured by indirect calorimetry, and T(i) is the mass of individual organs and tissues measured by magnetic resonance imaging. With measured REE and T(i), marginal 95% CIs for K(i) values were calculated by stepwise univariate regression analysis. An existing database of nonobese, healthy adults [n = 131; body mass index (in kg/m²) <30] was divided into 3 age groups: 21-30 y (young, n = 43), 31-50 y (middle-age, n = 51), and > 50 y (n = 37). RESULTS Elia's K(i) values were within the range of 95% CIs in the young and middle-age groups. However, Elia's K(i) values were outside the right boundaries of 95% CIs in the >50-y group, which indicated that Elia's study overestimated K(i) values by 3% in this group. Age-adjusted K(i) values for adults aged >50 y were 194 for liver, 233 for brain, 426 for heart and kidneys, 12.6 for skeletal muscle, 4.4 for adipose tissue, and 11.6 for residuals. CONCLUSION The general applicability of Elia's K(i) values was validated across adulthood, although age adjustment is appropriate for specific applications.
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Affiliation(s)
- Zimian Wang
- Obesity Research Center, St Luke's-Roosevelt Hospital, Columbia University, College of Physicians and Surgeons, New York, NY, USA.
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Predictive value of Tc-99m galactosyl human serum albumin liver SPECT on the assessment of functional recovery after partial hepatectomy: a comparison with CT volumetry. Ann Nucl Med 2010; 24:729-34. [DOI: 10.1007/s12149-010-0426-2] [Citation(s) in RCA: 11] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2010] [Accepted: 08/19/2010] [Indexed: 12/23/2022]
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Clavien PA, Oberkofler CE, Raptis DA, Lehmann K, Rickenbacher A, El-Badry AM. What is critical for liver surgery and partial liver transplantation: size or quality? Hepatology 2010; 52:715-29. [PMID: 20683967 DOI: 10.1002/hep.23713] [Citation(s) in RCA: 85] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Affiliation(s)
- Pierre-Alain Clavien
- Swiss Hepato-Pancreatico-Biliary and Transplantation Center, Department of Surgery, University of Zurich, Zurich, Switzerland.
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Nanashima A, Tobinaga S, Abo T, Sumida Y, Araki M, Hayashi H, Sakamoto I, Kudo T, Takeshita H, Hidaka S, Sawai T, Hatano K, Nagayasu T. Relationship of hepatic functional parameters with changes of functional liver volume using technetium-99m galactosyl serum albumin scintigraphy in patients undergoing preoperative portal vein embolization: a follow-up report. J Surg Res 2010; 164:e235-42. [PMID: 20869076 DOI: 10.1016/j.jss.2010.06.003] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2010] [Revised: 05/05/2010] [Accepted: 06/01/2010] [Indexed: 02/06/2023]
Abstract
BACKGROUND To identify predictors of changes in functional hepatic volumes after portal vein embolization (PVE) before hepatectomy, we examined the relationship between hepatic functional parameters and changes in functional volume of the embolized and non-embolized liver based on a previous volumetric analysis. MATERIAL AND METHODS Subjects were 24 patients who underwent PVE, which was performed through the trans-ileocolic vein (n = 4) or by percutaneous transhepatic puncture (n = 20). The RI liver volume parameter was measured by liver scintigraphy with technetium-(99m) galactosyl human serum albumin ((99m)Tc-GSA). Computed tomography (CT) volume parameter was also measured. RESULTS Significant atrophy of the embolized liver and hypertrophy of the non-embolized liver (change of 72 ± 108 cm(3) and 111 ± 91 cm(3), respectively) (change of 7.8%) was observed after PVE. The change in these RI volume parameters (change of 173 ± 175 cm(3) and 145 ± 137 cm(3) , respectively) (16.5%) was significantly greater than CT volume parameters (P < 0.01). CT vol and RI vol in the embolized and non-embolized liver were well correlated (r = 0.75 and 0.69, respectively). However, the correlation between CT and RI volume parameters in the embolized and non-embolized liver after PVE was very weak (r = 0.17 and 0.03, respectively). Only alkaline phosphatase level correlated negatively with atrophic CT volume parameter of the embolized liver (r = -0.455, P < 0.05). When compared with CT volume parameter, more parameters were significantly correlated with changes of RI volume parameter in the embolized liver: pre-PVE pressure; ICGR15; and serum levels of hyaluronate, total bilirubin, albumin, and alkaline phosphatase. Only platelet count was significantly correlated with hypertrophy of the non-embolized liver. CONCLUSION RI volume parameter might more accurately reflect functional changes in the embolized liver and non-embolized liver than CT volume parameter. Correlated parameters might allow us to predict the functional effect of PVE.
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Affiliation(s)
- Atsushi Nanashima
- Division of Surgical Oncology, Nagasaki University Graduate School of Biomedical Sciences, Nagasaki, Japan.
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Schiødt FV, Chung RT, Schilsky ML, Hay JE, Christensen E, Lee WM, the Acute Liver Failure Study Group. Outcome of acute liver failure in the elderly. Liver Transpl 2009; 15:1481-7. [PMID: 19877205 PMCID: PMC3123453 DOI: 10.1002/lt.21865] [Citation(s) in RCA: 25] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
Abstract
Older age is considered a poor prognostic factor in acute liver failure (ALF) and may still be considered a relative contraindication for liver transplantation for ALF. We aimed to evaluate the impact of older age, defined as age > or = 60 years, on outcomes in patients with ALF. One thousand one hundred twenty-six consecutive prospective patients from the US Acute Liver Failure Study Group registry were studied. The median age was 38 years (range, 15-81 years). One thousand sixteen patients (90.2%) were younger than 60 years (group 1), and 499 (49.1%) of these had acetaminophen-induced ALF; this rate of acetaminophen-induced ALF was significantly higher than that in patients > or = 60 years (group 2; n = 110; 23.6% with acetaminophen-induced ALF, P < 0.001). The overall survival rate was 72.7% in group 1 and 60.0% in group 2 (not significant) for acetaminophen patients and 67.9% in group 1 and 48.2% in group 2 for non-acetaminophen patients (P < 0.001). The spontaneous survival rate (ie, survival without liver transplantation) was 64.9% in group 1 and 60.0% in group 2 (not significant) for acetaminophen patients and 30.8% in group 1 and 24.7% in group 2 for non-acetaminophen patients (P = 0.27). Age was not a significant predictor of spontaneous survival in multiple logistic regression analyses. Group 2 patients were listed for liver transplantation significantly less than group 1 patients. Age was listed as a contraindication for transplantation in 5 patients. In conclusion, in contrast to previous studies, we have demonstrated a relatively good spontaneous survival rate for older patients with ALF when it is corrected for etiology. However, overall survival was better for younger non-acetaminophen patients. Fewer older patients were listed for transplantation.
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Affiliation(s)
- Frank V. Schiødt
- Division of Digestive and Liver Diseases, University of Texas Southwestern Medical Center, Dallas, TX, Department of Internal Medicine I, Bispebjerg Hospital, Copenhagen, Denmark
| | - Raymond T. Chung
- Gastrointestinal Unit, Massachusetts General Hospital, Boston, MA
| | | | | | - Erik Christensen
- Department of Internal Medicine I, Bispebjerg Hospital, Copenhagen, Denmark
| | - William M. Lee
- Division of Digestive and Liver Diseases, University of Texas Southwestern Medical Center, Dallas, TX
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Garcea G, Ong SL, Maddern GJ. Predicting liver failure following major hepatectomy. Dig Liver Dis 2009; 41:798-806. [PMID: 19303376 DOI: 10.1016/j.dld.2009.01.015] [Citation(s) in RCA: 51] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/27/2008] [Revised: 12/24/2008] [Accepted: 01/28/2009] [Indexed: 12/11/2022]
Abstract
Pre-operative determination of the risk of liver dysfunction has come under criticism with regards to its usefulness in clinical practice. Opinion is split between centres which use such tests uniformly on all patients and those where clinical judgment alone is used. Published data would not suggest any difference in mortality, morbidity or liver failure rates between these groups. This review outlines and presents the evidence for pre-operative quantification of functional liver remnant volume.
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Affiliation(s)
- G Garcea
- Department of Hepatobiliary and Upper Gastrointestinal Surgery, The Queen Elizabeth Hospital, Adelaide, SA 5011, Australia.
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Kondo K, Chijiiwa K, Funagayama M, Kai M, Otani K, Ohuchida J. Hepatic resection is justified for elderly patients with hepatocellular carcinoma. World J Surg 2009; 32:2223-9. [PMID: 18642042 DOI: 10.1007/s00268-008-9688-4] [Citation(s) in RCA: 57] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
BACKGROUND Hepatic resection is one of the main treatment modalities for patients with hepatocellular carcinoma (HCC); however, surgery is generally stressful and often is avoided for elderly patients. This retrospective study was designed to determine whether the indications for hepatic resection in younger patients with HCC are applicable to elderly patients. METHODS Subjects were 294 patients in whom 319 hepatic resections were performed for HCC (male/female ratio, 238/81; age range, 18-83 years). The patients were divided into two groups according to age at the time of surgery: 70 years or older (n = 109) and 69 years or younger (n = 210). Surgical strategy and postoperative follow-up methods did not differ between groups. The incidence and severity of postoperative complications classified by the Clavien system were compared between the two groups. Postoperative survival was compared between the two groups and between subgroups based on Japan Integrated Staging (JIS) scores. HCC-related death rates also were compared. RESULTS No significant between-group difference was found in background liver function or type of hepatic resection. Differences were found in performance status and type of hepatitis virus infection. No difference was observed in the incidence or severity of postoperative complications. Postoperative survival was similar between the two age-based study groups and between the JIS-based subgroups. HCC-related death rates did not differ between groups. CONCLUSIONS The absence of differences in postoperative outcomes between groups suggests that hepatic resection is justified for HCC in selected patients aged 70 years or older.
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Affiliation(s)
- Kazuhiro Kondo
- Department of Surgical Oncology and Regulation of Organ Function, Miyazaki University School of Medicine, 5200 Kihara, Kiyotake, Miyazaki, Japan
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Iida T, Isaji S, Yagi S, Hori T, Taniguchi K, Ohsawa I, Mizuno S, Usui M, Sakurai H, Yamagiwa K, Yamakado K, Uemoto S. Assessment of liver graft function and regeneration by galactosyl-human serum albumin (99mTc-GSA) liver scintigraphy in adult living-donor liver transplantation. Clin Transplant 2009; 23:271-277. [PMID: 19191810 DOI: 10.1111/j.1399-0012.2008.00933.x] [Citation(s) in RCA: 13] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
BACKGROUND In adult living-donor liver transplantation (LDLT), the assessment of the graft functional reserve is very important. We evaluated the graft functional reserve by technetium-99m-diethylenetriaminepenta-acetic acid-galactosyl-human serum albumin ((99m)Tc-GSA) liver scintigraphy. PATIENTS AND METHOD From May 2003 to September 2006, (99m)Tc-GSA studies were performed in 27 adult recipients on two, four wk after LDLT, the receptor index [ratio of liver to heart-plus-liver radioactivity at 15 minutes (LHL15)] (LHL15) was calculated. Recipients were divided into two groups according to LHL15 on two wk after LDLT (group H; >0.935, group L; <0.935). Liver functional tests and recipients' background parameters were evaluated between the two groups. RESULT Group L accompanied higher preoperative model for end-stage liver disease (MELD) score (p = 0.038), lower graft-recipient weight ratio (GRWR) (p = 0.032) and older donor age (p = 0.003) compared with group H. There was no significant difference in the graft regeneration rate between two groups. The three-yr cumulative survival rate was 76.1% in group L and 88.9% in group H. CONCLUSION In LDLT, LHL15 has the potential to assess the graft function and predict the recipients' outcome. Graft function after LDLT may be related closely to the pretransplant MELD score, GRWR, and donor age.
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Affiliation(s)
- Taku Iida
- Division of Hepato-Biliary Pancreatic Surgery, Mie University, Tsu city, Mie, Japan.
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