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Circulating miR-122-5p, miR-92a-3p, and miR-18a-5p as Potential Biomarkers in Human Liver Transplantation Follow-Up. Int J Mol Sci 2023; 24:ijms24043457. [PMID: 36834868 PMCID: PMC9962619 DOI: 10.3390/ijms24043457] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2022] [Revised: 01/26/2023] [Accepted: 01/30/2023] [Indexed: 02/11/2023] Open
Abstract
The requirement of blood-circulating sensitive biomarkers for monitoring liver transplant (LT) is currently a necessary step aiming at the reduction of standard invasive protocols, such as liver biopsy. In this respect, the main objective of this study is to assess circulating microRNA (c-miR) changes in recipients' blood before and after LT and to correlate their blood levels with gold standard biomarkers and with outcomes such as rejection or complications after graft. An miR profile was initially performed; then, the most deregulated miRs were validated by RT-qPCR in 14 recipients pre- and post-LT and compared to a control group of 24 nontransplanted healthy subjects. MiR-122-5p, miR-92a-3p, miR-18a-5p, and miR-30c-5p, identified in the validation phase, were also analyzed considering an additional 19 serum samples collected from LT recipients and focusing on different follow-up (FU) times. The results showed significant, FU-related changes in c-miRs. In particular, miR-122-5p, miR-92a-3p, and miR-18a-5p revealed the same trend after transplantation and an increase in their level was found in patients with complications, independently from FU times. Conversely, the variations in the standard haemato-biochemical parameters for liver function assessment were not significant in the same FU period, confirming the importance of c-miRs as potential noninvasive biomarkers for monitoring patients' outcomes.
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2
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Niu ZS, Wang WH, Niu XJ. Recent progress in molecular mechanisms of postoperative recurrence and metastasis of hepatocellular carcinoma. World J Gastroenterol 2022; 28:6433-6477. [PMID: 36569275 PMCID: PMC9782839 DOI: 10.3748/wjg.v28.i46.6433] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/13/2022] [Revised: 10/31/2022] [Accepted: 11/21/2022] [Indexed: 12/08/2022] Open
Abstract
Hepatectomy is currently considered the most effective option for treating patients with early and intermediate hepatocellular carcinoma (HCC). Unfortunately, the postoperative prognosis of patients with HCC remains unsatisfactory, predominantly because of high postoperative metastasis and recurrence rates. Therefore, research on the molecular mechanisms of postoperative HCC metastasis and recurrence will help develop effective intervention measures to prevent or delay HCC metastasis and recurrence and to improve the long-term survival of HCC patients. Herein, we review the latest research progress on the molecular mechanisms underlying postoperative HCC metastasis and recurrence to lay a foundation for improving the understanding of HCC metastasis and recurrence and for developing more precise prevention and intervention strategies.
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Affiliation(s)
- Zhao-Shan Niu
- Laboratory of Micromorphology, School of Basic Medicine, Qingdao University, Qingdao 266071, Shandong Province, China
| | - Wen-Hong Wang
- Department of Pathology, School of Basic Medicine, Qingdao University, Qingdao 266071, Shandong Province, China
| | - Xiao-Jun Niu
- Department of Internal Medicine, Qingdao Shibei District People's Hospital, Qingdao 266033, Shandong Province, China
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3
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Radonjić T, Dukić M, Jovanović I, Zdravković M, Mandić O, Popadić V, Popović M, Nikolić N, Klašnja S, Divac A, Todorović Z, Branković M. Aging of Liver in Its Different Diseases. Int J Mol Sci 2022; 23:13085. [PMID: 36361873 PMCID: PMC9656219 DOI: 10.3390/ijms232113085] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2022] [Revised: 09/24/2022] [Accepted: 10/01/2022] [Indexed: 09/05/2023] Open
Abstract
The proportion of elderly people in the world population is constantly increasing. With age, the risk of numerous chronic diseases and their complications also rises. Research on the subject of cellular senescence date back to the middle of the last century, and today we know that senescent cells have different morphology, metabolism, phenotypes and many other characteristics. Their main feature is the development of senescence-associated secretory phenotype (SASP), whose pro-inflammatory components affect tissues and organs, and increases the possibility of age-related diseases. The liver is the main metabolic organ of our body, and the results of previous research indicate that its regenerative capacity is greater and that it ages more slowly compared to other organs. With age, liver cells change under the influence of various stressors and the risk of developing chronic liver diseases such as non-alcoholic fatty liver disease (NAFLD), non-alcoholic steatohepatitis (NASH), alcoholic steatohepatitis (ASH) and hepatocellular carcinoma (HCC) increases. It has been proven that these diseases progress faster in the elderly population and in some cases lead to end-stage liver disease that requires transplantation. The treatment of elderly people with chronic liver diseases is a challenge and requires an individual approach as well as new research that will reveal other safe and effective therapeutic modalities.
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Affiliation(s)
- Tijana Radonjić
- University Hospital Medical Center Bežanijska Kosa, 11000 Belgrade, Serbia
| | - Marija Dukić
- University Hospital Medical Center Bežanijska Kosa, 11000 Belgrade, Serbia
| | - Igor Jovanović
- University Hospital Medical Center Bežanijska Kosa, 11000 Belgrade, Serbia
| | - Marija Zdravković
- University Hospital Medical Center Bežanijska Kosa, 11000 Belgrade, Serbia
- Faculty of Medicine, University of Belgrade, 11000 Belgrade, Serbia
| | - Olga Mandić
- University Hospital Medical Center Bežanijska Kosa, 11000 Belgrade, Serbia
| | - Višeslav Popadić
- University Hospital Medical Center Bežanijska Kosa, 11000 Belgrade, Serbia
| | - Maja Popović
- University Hospital Medical Center Bežanijska Kosa, 11000 Belgrade, Serbia
| | - Novica Nikolić
- University Hospital Medical Center Bežanijska Kosa, 11000 Belgrade, Serbia
| | - Slobodan Klašnja
- University Hospital Medical Center Bežanijska Kosa, 11000 Belgrade, Serbia
| | - Anica Divac
- University Hospital Medical Center Bežanijska Kosa, 11000 Belgrade, Serbia
| | - Zoran Todorović
- University Hospital Medical Center Bežanijska Kosa, 11000 Belgrade, Serbia
- Faculty of Medicine, University of Belgrade, 11000 Belgrade, Serbia
| | - Marija Branković
- University Hospital Medical Center Bežanijska Kosa, 11000 Belgrade, Serbia
- Faculty of Medicine, University of Belgrade, 11000 Belgrade, Serbia
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4
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Thrush KL, Bennett DA, Gaiteri C, Horvath S, van Dyck CH, Higgins-Chen AT, Levine ME. Aging the brain: multi-region methylation principal component based clock in the context of Alzheimer's disease. Aging (Albany NY) 2022; 14:5641-5668. [PMID: 35907208 PMCID: PMC9365556 DOI: 10.18632/aging.204196] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2022] [Accepted: 07/05/2022] [Indexed: 12/31/2022]
Abstract
Alzheimer's disease (AD) risk increases exponentially with age and is associated with multiple molecular hallmarks of aging, one of which is epigenetic alterations. Epigenetic age predictors based on 5' cytosine methylation (DNAm), or epigenetic clocks, have previously suggested that epigenetic age acceleration may occur in AD brain tissue. Epigenetic clocks are promising tools for the quantification of biological aging, yet we hypothesize that investigation of brain aging in AD will be assisted by the development of brain-specific epigenetic clocks. Therefore, we generated a novel age predictor termed PCBrainAge that was trained solely in cortical samples. This predictor utilizes a combination of principal components analysis and regularized regression, which reduces technical noise and greatly improves test-retest reliability. To characterize the scope of PCBrainAge's utility, we generated DNAm data from multiple brain regions in a sample from the Religious Orders Study and Rush Memory and Aging Project. PCBrainAge captures meaningful heterogeneity of aging: Its acceleration demonstrates stronger associations with clinical AD dementia, pathologic AD, and APOE ε4 carrier status compared to extant epigenetic age predictors. It further does so across multiple cortical and subcortical regions. Overall, PCBrainAge's increased reliability and specificity makes it a particularly promising tool for investigating heterogeneity in brain aging, as well as epigenetic alterations underlying AD risk and resilience.
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Affiliation(s)
- Kyra L. Thrush
- Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT 06511, USA
| | - David A. Bennett
- Rush Alzheimer’s Disease Center, Rush University Medical Center, Chicago, IL 60612, USA
| | - Christopher Gaiteri
- Rush Alzheimer’s Disease Center, Rush University Medical Center, Chicago, IL 60612, USA
| | - Steve Horvath
- Department of Human Genetics, David Geffen School of Medicine, UCLA, Los Angeles, CA 90095, USA
- Department of Biostatistics, Fielding School of Public Health, UCLA, Los Angeles, CA 90095, USA
| | - Christopher H. van Dyck
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT 06511, USA
- Alzheimer’s Disease Research Center, Yale University School of Medicine, New Haven, CT 06510, USA
| | - Albert T. Higgins-Chen
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT 06511, USA
- VA Connecticut Healthcare System, West Haven, CT 06516, USA
| | - Morgan E. Levine
- Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT 06511, USA
- Department of Pathology, Yale University School of Medicine, New Haven, CT 06519, USA
- Altos Labs, San Diego Institute of Science, San Diego, CA 92114, USA
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5
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Zhao Y, Yang Y, Li Q, Li J. Understanding the Unique Microenvironment in the Aging Liver. Front Med (Lausanne) 2022; 9:842024. [PMID: 35280864 PMCID: PMC8907916 DOI: 10.3389/fmed.2022.842024] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2021] [Accepted: 01/31/2022] [Indexed: 12/21/2022] Open
Abstract
In the past decades, many studies have focused on aging because of our pursuit of longevity. With lifespans extended, the regenerative capacity of the liver gradually declines due to the existence of aging. This is partially due to the unique microenvironment in the aged liver, which affects a series of physiological processes. In this review, we summarize the related researches in the last decade and try to highlight the aging-related alterations in the aged liver.
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Affiliation(s)
- Yalei Zhao
- Department of Infectious Diseases, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Ya Yang
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, College of Medicine, The First Affiliated Hospital, Zhejiang University, Hangzhou, China
| | - Qian Li
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, College of Medicine, The First Affiliated Hospital, Zhejiang University, Hangzhou, China
| | - Jianzhou Li
- Department of Infectious Diseases, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
- *Correspondence: Jianzhou Li
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6
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Huang Y, Shen Z, Huang C, Lin C, Tsai T. Cisd2 slows down liver aging and attenuates age-related metabolic dysfunction in male mice. Aging Cell 2021; 20:e13523. [PMID: 34811857 PMCID: PMC8672792 DOI: 10.1111/acel.13523] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2021] [Revised: 10/18/2021] [Accepted: 11/10/2021] [Indexed: 02/06/2023] Open
Abstract
The liver plays a pivotal role in mammalian aging. However, the mechanisms underlying liver aging remain unclear. Cisd2 is a pro‐longevity gene in mice. Cisd2 mediates lifespan and healthspan via regulation of calcium homeostasis and mitochondrial functioning. Intriguingly, the protein level of Cisd2 is significantly decreased by about 50% in the livers of old male mice. This down‐regulation of Cisd2 may result in the aging liver exhibiting non‐alcoholic fatty liver disease (NAFLD) phenotype. Here, we use Cisd2 transgenic mice to investigate whether maintaining Cisd2 protein at a persistently high level is able to slow down liver aging. Our study identifies four major discoveries. Firstly, that Cisd2 expression attenuates age‐related dysregulation of lipid metabolism and other pathological abnormalities. Secondly, revealed by RNA sequencing analysis, the livers of old male mice undergo extensive transcriptomic alterations, and these are associated with steatosis, hepatitis, fibrosis, and xenobiotic detoxification. Intriguingly, a youthful transcriptomic profile, like that of young 3‐month‐old mice, was found in old Cisd2 transgenic male mice at 26 months old. Thirdly, Cisd2 suppresses the age‐associated dysregulation of various transcription regulators (Nrf2, IL‐6, and Hnf4a), which keeps the transcriptional network in a normal pattern. Finally, a high level of Cisd2 protein protects the liver from oxidative stress, and this is associated with a reduction in mitochondrial DNA deletions. These findings demonstrate that Cisd2 is a promising target for the development of therapeutic agents that, by bringing about an effective enhancement of Cisd2 expression, will slow down liver aging.
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Affiliation(s)
- Yi‐Long Huang
- Department of Life Sciences and Institute of Genome Sciences National Yang Ming Chiao Tung University Taipei Taiwan
- Aging and Health Research Center National Yang Ming Chiao Tung University Taipei Taiwan
| | - Zhao‐Qing Shen
- Department of Life Sciences and Institute of Genome Sciences National Yang Ming Chiao Tung University Taipei Taiwan
| | - Chen‐Hua Huang
- Department of Life Sciences and Institute of Genome Sciences National Yang Ming Chiao Tung University Taipei Taiwan
| | - Chao‐Hsiung Lin
- Department of Life Sciences and Institute of Genome Sciences National Yang Ming Chiao Tung University Taipei Taiwan
- Aging and Health Research Center National Yang Ming Chiao Tung University Taipei Taiwan
| | - Ting‐Fen Tsai
- Department of Life Sciences and Institute of Genome Sciences National Yang Ming Chiao Tung University Taipei Taiwan
- Aging and Health Research Center National Yang Ming Chiao Tung University Taipei Taiwan
- Institute of Molecular and Genomic Medicine National Health Research Institutes Zhunan Taiwan
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7
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Epigenetic clock and methylation studies in vervet monkeys. GeroScience 2021; 44:699-717. [PMID: 34591235 PMCID: PMC9135907 DOI: 10.1007/s11357-021-00466-3] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2021] [Accepted: 09/20/2021] [Indexed: 11/26/2022] Open
Abstract
DNA methylation-based biomarkers of aging have been developed for many mammals but not yet for the vervet monkey (Chlorocebus sabaeus), which is a valuable non-human primate model for biomedical studies. We generated novel DNA methylation data from vervet cerebral cortex, blood, and liver using highly conserved mammalian CpGs represented on a custom array (HorvathMammalMethylChip40). We present six DNA methylation-based estimators of age: vervet multi-tissue epigenetic clock and tissue-specific clocks for brain cortex, blood, and liver. In addition, we developed two dual species clocks (human-vervet clocks) for measuring chronological age and relative age, respectively. Relative age was defined as ratio of chronological age to maximum lifespan to address the species differences in maximum lifespan. The high accuracy of the human-vervet clocks demonstrates that epigenetic aging processes are evolutionary conserved in primates. When applying these vervet clocks to tissue samples from another primate species, rhesus macaque, we observed high age correlations but strong offsets. We characterized CpGs that correlate significantly with age in the vervet. CpG probes that gain methylation with age across tissues were located near the targets of Polycomb proteins SUZ12 and EED and genes possessing the trimethylated H3K27 mark in their promoters. The epigenetic clocks are expected to be useful for anti-aging studies in vervets.
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8
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Alqahtani SA, Schattenberg JM. NAFLD in the Elderly. Clin Interv Aging 2021; 16:1633-1649. [PMID: 34548787 PMCID: PMC8448161 DOI: 10.2147/cia.s295524] [Citation(s) in RCA: 38] [Impact Index Per Article: 12.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2021] [Accepted: 08/12/2021] [Indexed: 12/25/2022] Open
Abstract
Non-alcoholic fatty liver disease (NAFLD) is an increasingly prevalent disease globally. Current estimates are that 24% of the adult population, thus, one billion individuals worldwide, are affected. Interestingly, the prevalence of fatty liver seems to peak between 40─50 years of age in males and 60─69 years in females, often slightly decreasing in older (>70 years) cohorts. Furthermore, several risk factors for NAFLD development, such as hypertension, diabetes, hyperlipidemia, and obesity are higher in older adults. The diagnosis and management strategies in older adults are sometimes challenging, and certain age-specific factors have to be taken into account by healthcare professionals. In this review, we provide an overview of considerations relevant to the management and diagnosis of NAFLD in older adults (age >65 years) and discuss the types of pharmacological interventions available for the management of non-alcoholic steatohepatitis (NASH) in the aging population.
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Affiliation(s)
- Saleh A Alqahtani
- Liver Transplantation Center, King Faisal Specialist Hospital & Research Center, Riyadh, Saudi Arabia.,Division of Gastroenterology and Hepatology, Johns Hopkins University, Baltimore, MD, USA
| | - Jörn M Schattenberg
- Metabolic Liver Research Program, I. Department of Medicine, University Medical Center, Mainz, Germany
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9
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Bai Y, Tong W, Xie F, Zhu L, Wu H, Shi R, Wang L, Yang L, Liu Z, Miao F, Zhao Q, Zhang Y. DNA methylation biomarkers for diagnosis of primary liver cancer and distinguishing hepatocellular carcinoma from intrahepatic cholangiocarcinoma. Aging (Albany NY) 2021; 13:17592-17606. [PMID: 34237708 PMCID: PMC8312421 DOI: 10.18632/aging.203249] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2021] [Accepted: 05/17/2021] [Indexed: 12/13/2022]
Abstract
Hepatocellular carcinoma (HCC) and intrahepatic cholangiocarcinoma (ICC) are the two most common pathology subtypes of primary liver cancer (PLC). Identifying DNA methylation biomarkers for diagnosis of PLC and further distinguishing HCC from ICC plays a vital role in subsequent treatment options selection. To obtain potential diagnostic DNA methylation sites for PLC, differentially methylated CpG (DMC) sites were first screened by comparing the methylation data between normal liver samples and PLC samples (ICC samples and HCC samples). A random forest algorithm was then used to select specific DMC sites with top Gini value. To avoid overfitting, another cohort was taken as an external validation for evaluating the area under curves (AUCs) of different DMC sites combination. A similar model construction strategy was applied to distinguish HCC from ICC. In addition, we identified DNA Methylation-Driven Genes in HCC and ICC via MethylMix method and performed pathway analysis by utilizing MetaCore. Finally, we not only performed methylator phenotype based on independent prognostic sites but also analyzed the correlations between methylator phenotype and clinical factors in HCC and ICC, respectively. To diagnose PLC, we developed a model based on three PLC-specific methylation sites (cg24035245, cg21072795, and cg00261162), whose sensitivity and specificity achieved 98.8%,94.8% in training set and 97.3%,81% in validation set. Then, to further divide the PLC samples into HCC and ICC, we established another mode through three methylation sites (cg17769836, cg17591574, and cg07823562), HCC accuracy and ICC accuracy achieved 95.8%, 89.8% in the training set and 96.8%,85.4% in the validation set. In HCC, the enrichment pathways were mainly related to protein folding, oxidative stress, and glutathione metabolism. While in ICC, immune response, embryonic hepatocyte maturation were the top pathways. Both in HCC and ICC, methylator phenotype correlated well with overall survival time and clinical factors involved in tumor progression. In summary, our study provides the biomarkers based on methylation sites not only for the diagnosis of PLC but also for distinguishing HCC from ICC.
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Affiliation(s)
- Yi Bai
- Department of Hepatobiliary Surgery, Tianjin First Central Hospital, School of Medicine, Nankai University, Tianjin, China
| | - Wen Tong
- Tianjin First Central Hospital Clinic Institute, Tianjin Medical University, Tianjin, China
| | - Fucun Xie
- Department of Liver Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College (CAMS and PUMC), Beijing, China
| | - Liuyang Zhu
- Tianjin First Central Hospital Clinic Institute, Tianjin Medical University, Tianjin, China
| | - Hao Wu
- Tianjin First Central Hospital Clinic Institute, Tianjin Medical University, Tianjin, China
| | - Rui Shi
- Department of Hepatobiliary Surgery, Tianjin First Central Hospital, School of Medicine, Nankai University, Tianjin, China
| | - Lianjiang Wang
- Department of Hepatobiliary Surgery, Tianjin First Central Hospital, School of Medicine, Nankai University, Tianjin, China
| | - Long Yang
- Department of Hepatobiliary Surgery, Tianjin First Central Hospital, School of Medicine, Nankai University, Tianjin, China
| | - Zhisong Liu
- Department of Statistics, Tianjin University of Finance and Economics Pearl River College, Tianjin, China
| | - Fei Miao
- Department of Statistics, Tianjin University of Finance and Economics Pearl River College, Tianjin, China
| | - Qiang Zhao
- State Key Laboratory of Medicinal Chemical Biology, Key Laboratory of Bioactive Materials, Ministry of Education, and College of Life Science, Nankai University, Tianjin, China
| | - Yaming Zhang
- Department of Hepatobiliary Surgery, Tianjin First Central Hospital, School of Medicine, Nankai University, Tianjin, China
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10
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Whitwell HJ, Bacalini MG, Blyuss O, Chen S, Garagnani P, Gordleeva SY, Jalan S, Ivanchenko M, Kanakov O, Kustikova V, Mariño IP, Meyerov I, Ullner E, Franceschi C, Zaikin A. The Human Body as a Super Network: Digital Methods to Analyze the Propagation of Aging. Front Aging Neurosci 2020; 12:136. [PMID: 32523526 PMCID: PMC7261843 DOI: 10.3389/fnagi.2020.00136] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2020] [Accepted: 04/22/2020] [Indexed: 12/13/2022] Open
Abstract
Biological aging is a complex process involving multiple biological processes. These can be understood theoretically though considering them as individual networks-e.g., epigenetic networks, cell-cell networks (such as astroglial networks), and population genetics. Mathematical modeling allows the combination of such networks so that they may be studied in unison, to better understand how the so-called "seven pillars of aging" combine and to generate hypothesis for treating aging as a condition at relatively early biological ages. In this review, we consider how recent progression in mathematical modeling can be utilized to investigate aging, particularly in, but not exclusive to, the context of degenerative neuronal disease. We also consider how the latest techniques for generating biomarker models for disease prediction, such as longitudinal analysis and parenclitic analysis can be applied to as both biomarker platforms for aging, as well as to better understand the inescapable condition. This review is written by a highly diverse and multi-disciplinary team of scientists from across the globe and calls for greater collaboration between diverse fields of research.
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Affiliation(s)
- Harry J Whitwell
- Department of Chemical Engineering, Imperial College London, London, United Kingdom
| | | | - Oleg Blyuss
- School of Physics, Astronomy and Mathematics, University of Hertfordshire, Harfield, United Kingdom.,Department of Paediatrics and Paediatric Infectious Diseases, Sechenov First Moscow State Medical University (Sechenov University), Moscow, Russia
| | - Shangbin Chen
- Britton Chance Centre for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics-Huazhong University of Science and Technology, Wuhan, China
| | - Paolo Garagnani
- Department of Experimental, Diagnostic and Specialty Medicine (DIMES), University of Bologna, Bologna, Italy
| | - Susan Yu Gordleeva
- Laboratory of Systems Medicine of Healthy Aging, Lobachevsky State University of Nizhny Novgorod, Nizhny Novgorod, Russia
| | - Sarika Jalan
- Complex Systems Laboratory, Discipline of Physics, Indian Institute of Technology Indore, Indore, India.,Centre for Bio-Science and Bio-Medical Engineering, Indian Institute of Technology Indore, Indore, India
| | - Mikhail Ivanchenko
- Institute of Information Technologies, Mathematics and Mechanics, Lobachevsky State University of Nizhny Novgorod, Nizhny Novgorod, Russia
| | - Oleg Kanakov
- Laboratory of Systems Medicine of Healthy Aging, Lobachevsky State University of Nizhny Novgorod, Nizhny Novgorod, Russia
| | - Valentina Kustikova
- Institute of Information Technologies, Mathematics and Mechanics, Lobachevsky State University of Nizhny Novgorod, Nizhny Novgorod, Russia
| | - Ines P Mariño
- Department of Biology and Geology, Physics and Inorganic Chemistry, Universidad Rey Juan Carlos, Madrid, Spain
| | - Iosif Meyerov
- Institute of Information Technologies, Mathematics and Mechanics, Lobachevsky State University of Nizhny Novgorod, Nizhny Novgorod, Russia
| | - Ekkehard Ullner
- Department of Physics (SUPA), Institute for Complex Systems and Mathematical Biology, University of Aberdeen, Aberdeen, United Kingdom
| | - Claudio Franceschi
- Laboratory of Systems Medicine of Healthy Aging, Lobachevsky State University of Nizhny Novgorod, Nizhny Novgorod, Russia.,Institute of Information Technologies, Mathematics and Mechanics, Lobachevsky State University of Nizhny Novgorod, Nizhny Novgorod, Russia
| | - Alexey Zaikin
- Department of Paediatrics and Paediatric Infectious Diseases, Sechenov First Moscow State Medical University (Sechenov University), Moscow, Russia.,Institute of Information Technologies, Mathematics and Mechanics, Lobachevsky State University of Nizhny Novgorod, Nizhny Novgorod, Russia.,Department of Mathematics, Institute for Women's Health, University College London, London, United Kingdom
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11
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Treviño LS, Dong J, Kaushal A, Katz TA, Jangid RK, Robertson MJ, Grimm SL, Ambati CSR, Putluri V, Cox AR, Kim KH, May TD, Gallo MR, Moore DD, Hartig SM, Foulds CE, Putluri N, Coarfa C, Walker CL. Epigenome environment interactions accelerate epigenomic aging and unlock metabolically restricted epigenetic reprogramming in adulthood. Nat Commun 2020; 11:2316. [PMID: 32385268 PMCID: PMC7210260 DOI: 10.1038/s41467-020-15847-z] [Citation(s) in RCA: 36] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2019] [Accepted: 03/19/2020] [Indexed: 12/13/2022] Open
Abstract
Our early-life environment has a profound influence on developing organs that impacts metabolic function and determines disease susceptibility across the life-course. Using a rat model for exposure to an endocrine disrupting chemical (EDC), we show that early-life chemical exposure causes metabolic dysfunction in adulthood and reprograms histone marks in the developing liver to accelerate acquisition of an adult epigenomic signature. This epigenomic reprogramming persists long after the initial exposure, but many reprogrammed genes remain transcriptionally silent with their impact on metabolism not revealed until a later life exposure to a Western-style diet. Diet-dependent metabolic disruption was largely driven by reprogramming of the Early Growth Response 1 (EGR1) transcriptome and production of metabolites in pathways linked to cholesterol, lipid and one-carbon metabolism. These findings demonstrate the importance of epigenome:environment interactions, which early in life accelerate epigenomic aging, and later in adulthood unlock metabolically restricted epigenetic reprogramming to drive metabolic dysfunction. Early life exposure to environmental stressors, including endocrine disrupting chemicals (EDCs), can impact health later in life. Here, the authors show that neonatal EDC exposure in rats causes epigenetic reprogramming in the liver, which is transcriptionally silent until animals are placed on a Western-style diet.
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Affiliation(s)
- Lindsey S Treviño
- Center for Precision Environmental Health, Baylor College of Medicine, Houston, TX, 77030, USA.,Department of Molecular and Cellular Biology, Baylor College of Medicine, Houston, TX, 77030, USA.,Division of Health Equities, Department of Population Sciences, City of Hope, Duarte, CA, 91010, USA
| | - Jianrong Dong
- Department of Molecular and Cellular Biology, Baylor College of Medicine, Houston, TX, 77030, USA
| | - Ahkilesh Kaushal
- Center for Precision Environmental Health, Baylor College of Medicine, Houston, TX, 77030, USA
| | - Tiffany A Katz
- Center for Precision Environmental Health, Baylor College of Medicine, Houston, TX, 77030, USA.,Department of Molecular and Cellular Biology, Baylor College of Medicine, Houston, TX, 77030, USA
| | - Rahul Kumar Jangid
- Center for Precision Environmental Health, Baylor College of Medicine, Houston, TX, 77030, USA.,Department of Molecular and Cellular Biology, Baylor College of Medicine, Houston, TX, 77030, USA
| | - Matthew J Robertson
- Advanced Technology Cores, Baylor College of Medicine, Houston, TX, 77030, USA
| | - Sandra L Grimm
- Advanced Technology Cores, Baylor College of Medicine, Houston, TX, 77030, USA
| | - Chandra Shekar R Ambati
- Department of Molecular and Cellular Biology, Baylor College of Medicine, Houston, TX, 77030, USA
| | - Vasanta Putluri
- Advanced Technology Cores, Baylor College of Medicine, Houston, TX, 77030, USA
| | - Aaron R Cox
- Department of Medicine, Baylor College of Medicine, Houston, TX, 77030, USA
| | - Kang Ho Kim
- Department of Molecular and Cellular Biology, Baylor College of Medicine, Houston, TX, 77030, USA
| | - Thaddeus D May
- Department of Pediatrics, Baylor College of Medicine, Houston, TX, 77030, USA
| | - Morgan R Gallo
- Center for Precision Environmental Health, Baylor College of Medicine, Houston, TX, 77030, USA
| | - David D Moore
- Department of Molecular and Cellular Biology, Baylor College of Medicine, Houston, TX, 77030, USA
| | - Sean M Hartig
- Department of Molecular and Cellular Biology, Baylor College of Medicine, Houston, TX, 77030, USA.,Department of Medicine, Baylor College of Medicine, Houston, TX, 77030, USA
| | - Charles E Foulds
- Center for Precision Environmental Health, Baylor College of Medicine, Houston, TX, 77030, USA.,Department of Molecular and Cellular Biology, Baylor College of Medicine, Houston, TX, 77030, USA.,Dan L. Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX, 77030, USA
| | - Nagireddy Putluri
- Department of Molecular and Cellular Biology, Baylor College of Medicine, Houston, TX, 77030, USA
| | - Cristian Coarfa
- Center for Precision Environmental Health, Baylor College of Medicine, Houston, TX, 77030, USA. .,Department of Molecular and Cellular Biology, Baylor College of Medicine, Houston, TX, 77030, USA. .,Dan L. Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX, 77030, USA.
| | - Cheryl Lyn Walker
- Center for Precision Environmental Health, Baylor College of Medicine, Houston, TX, 77030, USA. .,Department of Molecular and Cellular Biology, Baylor College of Medicine, Houston, TX, 77030, USA. .,Department of Medicine, Baylor College of Medicine, Houston, TX, 77030, USA. .,Dan L. Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX, 77030, USA. .,Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, 77030, USA.
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12
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Aging and Caloric Restriction Modulate the DNA Methylation Profile of the Ribosomal RNA Locus in Human and Rat Liver. Nutrients 2020; 12:nu12020277. [PMID: 31973116 PMCID: PMC7070571 DOI: 10.3390/nu12020277] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/24/2019] [Revised: 01/13/2020] [Accepted: 01/17/2020] [Indexed: 12/21/2022] Open
Abstract
A growing amount of evidence suggests that the downregulation of protein synthesis is an adaptive response during physiological aging, which positively contributes to longevity and can be modulated by nutritional interventions like caloric restriction (CR). The expression of ribosomal RNA (rRNA) is one of the main determinants of translational rate, and epigenetic modifications finely contribute to its regulation. Previous reports suggest that hypermethylation of ribosomal DNA (rDNA) locus occurs with aging, although with some species- and tissue- specificity. In the present study, we experimentally measured DNA methylation of three regions (the promoter, the 5′ of the 18S and the 5′ of 28S sequences) in the rDNA locus in liver tissues from rats at two, four, 10, and 18 months. We confirm previous findings, showing age-related hypermethylation, and describe, for the first time, that this gain in methylation also occurs in human hepatocytes. Furthermore, we show that age-related hypermethylation is enhanced in livers of rat upon CR at two and 10 months, and that at two months a trend towards the reduction of rRNA expression occurs. Collectively, our results suggest that CR modulates age-related regulation of methylation at the rDNA locus, thus providing an epigenetic readout of the pro-longevity effects of CR.
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13
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The smell of longevity: a combination of Volatile Organic Compounds (VOCs) can discriminate centenarians and their offspring from age-matched subjects and young controls. GeroScience 2019; 42:201-216. [PMID: 31808027 DOI: 10.1007/s11357-019-00143-6] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2019] [Accepted: 11/20/2019] [Indexed: 02/08/2023] Open
Abstract
Aging is characterized by dynamic changes at metabolic level that lead to modifications in the composition of the metabolome. Since the identification of biomarkers that can discriminate people of different age and health status has recently attracted a great interest, we wondered whether age-specific changes in the metabolome could be identified and serve as new and informative biomarkers of aging and longevity. In the last few years, a specific branch of metabonomics devoted to the study of volatile organic compounds (VOCs) has been developed. To date, little is known about the profile of specific VOCs in healthy aging and longevity in humans; therefore, we investigated the profile of VOCs in both urine and feces samples from 73 volunteers of different age including centenarians that represent useful "super-controls" to identify potential biomarkers of successful aging and footprints of longevity. To this purpose, we performed a discriminant analysis by which we were able to identify specific profiles of urinary and fecal VOCs. Such profiles can discriminate different age groups, from young to centenarians, and, even more interesting, centenarians' offspring from age-matched controls. Moreover, we were able to identify VOCs that are specific for the couples "centenarians - offspring" or the trios "centenarians - offspring - spouse," suggesting the possible existence of a familiar component also for VOCs profile.
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14
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Trauner M, Gindin Y, Jiang Z, Chung C, Subramanian GM, Myers RP, Gulamhusein A, Kowdley KV, Levy C, Goodman Z, Manns MP, Muir AJ, Bowlus CL. Methylation signatures in peripheral blood are associated with marked age acceleration and disease progression in patients with primary sclerosing cholangitis. JHEP Rep 2019; 2:100060. [PMID: 32039401 PMCID: PMC7005566 DOI: 10.1016/j.jhepr.2019.11.004] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/17/2019] [Revised: 11/08/2019] [Accepted: 11/14/2019] [Indexed: 02/06/2023] Open
Abstract
Background & Aims A DNA methylation (DNAm) signature derived from 353 CpG sites (the Horvath clock) has been proposed as an epigenetic measure of chronological and biological age. This epigenetic signature is accelerated in diverse tissue types in various disorders, including non-alcoholic steatohepatitis, and is associated with mortality. Here, we assayed whole blood DNAm to explore age acceleration in patients with primary sclerosing cholangitis (PSC). Methods Using the MethylationEPIC BeadChip (850K) array, DNAm signatures in whole blood were analyzed in 36 patients with PSC enrolled in a 96-week trial of simtuzumab (Ishak F0-1, n = 13; F5-6, n = 23). Age acceleration was calculated as the difference between DNAm age and chronological age. Comparisons between patients with high and low age acceleration (≥ vs. < the median) were made and Cox regression evaluated the association between age acceleration and PSC-related clinical events (e.g. decompensation, cholangitis, transplantation). Results Age acceleration was significantly higher in patients with PSC compared to a healthy reference cohort (median, 11.1 years, p <2.2 × 10-16). In PSC, demographics, presence of inflammatory bowel disease, and ursodeoxycholic acid use were similar between patients with low and high age acceleration. However, patients with high age acceleration had increased serum alkaline phosphatase, gamma glutamyltransferase, alanine aminotransferase, enhanced liver fibrosis test scores, and greater hepatic collagen and α-smooth muscle actin expression on liver biopsy (all p <0.05). Moreover, patients with high age acceleration had an increased prevalence of cirrhosis (89% vs. 39%; p = 0.006) and greater likelihood of PSC-related events (hazard ratio 4.19; 95% CI 1.15–15.24). Conclusion This analysis of blood DNAm profiles suggests that compared with healthy controls, patients with PSC – particularly those with cirrhosis - exhibit significant acceleration of epigenetic age. Future studies are required to evaluate the prognostic implications and effect of therapies on global methylation patterns and age acceleration in PSC. Lay summary An epigenetic clock based on DNA methylation has been proposed as a marker of age. In liver diseases such as non-alcoholic steatohepatitis, age acceleration based on this epigenetic clock has been observed. Herein, we show that patients with primary sclerosing cholangitis have marked age acceleration, which is further accentuated by worsening fibrosis. This measure of age acceleration could be a useful marker for prognostication or risk stratification in primary sclerosing cholangitis. A peripheral blood DNA methylation (DNAm) score identifies age acceleration in PSC patients vs. healthy controls. PSC patients with high age acceleration had significantly more PSC-related events than those with low age acceleration. These findings may enable stratification of at-risk PSC patients based on a DNAm score from peripheral blood.
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Key Words
- ALP, alkaline phosphatase
- ALT, alanine aminotransferase
- Aging
- BMI, body mass index
- DNAm, DNA methylation
- ELF, enhanced liver fibrosis
- FDR, false discovery rate
- GGT, gamma-glutamyltransferase
- IBD, inflammatory bowel disease
- IL, interleukin
- LOXL2, lysyl oxidase-like-2
- NASH, non-alcoholic steatohepatitis
- PSC, primary sclerosing cholangitis
- SMA, smooth muscle actin
- UDCA, ursodeoxycholic acid
- biomarker
- inflammatory bowel disease
- primary sclerosing cholangitis
- prognosis
- ursodeoxycholic acid
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Affiliation(s)
- Michael Trauner
- Division of Gastroenterology and Hepatology, Department of Medicine III, Medical University of Vienna, Vienna, Austria
- Corresponding author. Address: Division of Gastroenterology & Hepatology, Internal Medicine III, Medical University of Vienna, Währinger Gürtel 18-20, A-1090 Vienna, Austria.
| | | | | | | | | | | | - Aliya Gulamhusein
- Division of Gastroenterology, University of Toronto, Toronto, ON, Canada
| | | | | | | | | | | | - Christopher L. Bowlus
- Division of Gastroenterology and Hepatology, University of California at Davis, Sacramento, CA, USA
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15
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Hunt NJ, Kang SWS, Lockwood GP, Le Couteur DG, Cogger VC. Hallmarks of Aging in the Liver. Comput Struct Biotechnol J 2019; 17:1151-1161. [PMID: 31462971 PMCID: PMC6709368 DOI: 10.1016/j.csbj.2019.07.021] [Citation(s) in RCA: 156] [Impact Index Per Article: 31.2] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2019] [Revised: 07/30/2019] [Accepted: 07/31/2019] [Indexed: 02/07/2023] Open
Abstract
While the liver demonstrates remarkable resilience during aging, there is growing evidence that it undergoes all the cellular hallmarks of aging, which increases the risk of liver and systemic disease. The aging process in the liver is driven by alterations of the genome and epigenome that contribute to dysregulation of mitochondrial function and nutrient sensing pathways, leading to cellular senescence and low-grade inflammation. These changes promote multiple phenotypic changes in all liver cells (hepatocytes, liver sinusoidal endothelial, hepatic stellate and Küpffer cells) and impairment of hepatic function. In particular, age-related changes in the liver sinusoidal endothelial cells are a significant but under-recognized risk factor for the development of age-related cardiometabolic disease. Liver aging is driven by transcription and metabolic epigenome alterations. This leads to cellular senescence and low-grade inflammation. Hepatocyte, sinusoidal endothelial, stellate and Küpffer cells undergoes the hallmarks of aging. Each cell type demonstrates phenotypical cellular changes with age.
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Key Words
- AMPK, 5′ adenosine monophosphate-activated protein kinase
- CR, caloric restriction
- Endothelial
- FOXO, forkhead box O
- Genetic
- HSC, hepatic stellate cell
- Hepatocyte
- IGF-1, insulin like growth factor 1
- IL-6, interleukin 6
- IL-8, interleukin 8
- KC, Küpffer cell
- LSEC, liver sinusoidal endothelial cell
- Mitochondrial dysfunction
- NAD, nicotinamide adenine dinucleotide
- NAFLD, non-alcoholic fatty liver disease
- NO, nitric oxide
- Nutrient sensing pathways
- PDGF, platelet derived growth factor
- PGC-1α, peroxisome proliferator-activated receptor gamma coactivator 1-α
- ROS, reactive oxygen species
- SIRT1, sirtuin 1
- Senescence
- TNFα, tumor necrosis factor alpha
- VEGF, vascular endothelial growth factor
- mTOR, mammalian target of rapamycin
- miR, microRNA
- αSMA, alpha smooth muscle actin
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Affiliation(s)
- Nicholas J Hunt
- ANZAC Research Institute, Aging and Alzheimer's Institute, Centre for Education and Research on Ageing, Concord Repatriation General Hospital, Concord, NSW, Australia.,The University of Sydney, Concord Clinical School, Sydney Medical School, Sydney, NSW, Australia.,The University of Sydney, Nutrition Ecology, Charles Perkins Centre, Sydney, NSW, Australia
| | - Sun Woo Sophie Kang
- ANZAC Research Institute, Aging and Alzheimer's Institute, Centre for Education and Research on Ageing, Concord Repatriation General Hospital, Concord, NSW, Australia.,The University of Sydney, Nutrition Ecology, Charles Perkins Centre, Sydney, NSW, Australia
| | - Glen P Lockwood
- ANZAC Research Institute, Aging and Alzheimer's Institute, Centre for Education and Research on Ageing, Concord Repatriation General Hospital, Concord, NSW, Australia.,The University of Sydney, Nutrition Ecology, Charles Perkins Centre, Sydney, NSW, Australia
| | - David G Le Couteur
- ANZAC Research Institute, Aging and Alzheimer's Institute, Centre for Education and Research on Ageing, Concord Repatriation General Hospital, Concord, NSW, Australia.,The University of Sydney, Concord Clinical School, Sydney Medical School, Sydney, NSW, Australia.,The University of Sydney, Nutrition Ecology, Charles Perkins Centre, Sydney, NSW, Australia
| | - Victoria C Cogger
- ANZAC Research Institute, Aging and Alzheimer's Institute, Centre for Education and Research on Ageing, Concord Repatriation General Hospital, Concord, NSW, Australia.,The University of Sydney, Concord Clinical School, Sydney Medical School, Sydney, NSW, Australia.,The University of Sydney, Nutrition Ecology, Charles Perkins Centre, Sydney, NSW, Australia
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16
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Chen J, Zou Q, Lv D, Raza MA, Wang X, Chen Y, Xi X, Li P, Wen A, Zhu L, Tang G, Li M, Li X, Jiang Y. Comprehensive transcriptional profiling of aging porcine liver. PeerJ 2019; 7:e6949. [PMID: 31149403 PMCID: PMC6526898 DOI: 10.7717/peerj.6949] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2018] [Accepted: 04/09/2019] [Indexed: 01/04/2023] Open
Abstract
Background Aging is a major risk factor for the development of many diseases, and the liver, as the most important metabolic organ, is significantly affected by aging. It has been shown that the liver weight tends to increase in rodents and decrease in humans with age. Pigs have a genomic structure, with physiological as well as biochemical features that are similar to those of humans, and have therefore been used as a valuable model for studying human diseases. The molecular mechanisms of the liver aging of large mammals on a comprehensive transcriptional level remain poorly understood. The pig is an ideal model animal to clearly and fully understand the molecular mechanism underlying human liver aging. Methods In this study, four healthy female Yana pigs (an indigenous Chinese breed) were investigated: two young sows (180-days-old) and two old sows (8-years-old). High throughput RNA sequencing was performed to evaluate the expression profiles of messenger RNA, long non-coding RNAs, micro RNAs, and circular RNAs during the porcine liver aging process. Gene Ontology (GO) analysis was performed to investigate the biological functions of age-related genes. Results A number of age-related genes were identified in the porcine liver. GO annotation showed that up-regulated genes were mainly related to immune response, while the down-regulated genes were mainly related to metabolism. Moreover, several lncRNAs and their target genes were also found to be differentially expressed during liver aging. In addition, the multi-group cooperative control relationships and constructed circRNA-miRNA co-expression networks were assessed during liver aging. Conclusions Numerous age-related genes were identified and circRNA-miRNA co-expression networks that are active during porcine liver aging were constructed. These findings contribute to the understanding of the transcriptional foundations of liver aging and also provide further references that clarify human liver aging at the molecular level.
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Affiliation(s)
- Jianning Chen
- Department of Zoology, College of Life Science, Sichuan Agricultural University, Ya'an, Sichuan, China
| | - Qin Zou
- Department of Zoology, College of Life Science, Sichuan Agricultural University, Ya'an, Sichuan, China
| | - Daojun Lv
- Sichuan Weimu Modern Agricultural Science and Technology Co., Ltd, Chengdu, Sichuan, China
| | - Muhammad Ali Raza
- Department of Crop Cultivation and Farming System, College of Agronomy, Sichuan Agricultural University, Chengdu, Sichuan, China
| | - Xue Wang
- Department of Zoology, College of Life Science, Sichuan Agricultural University, Ya'an, Sichuan, China
| | - Yan Chen
- Department of Zoology, College of Life Science, Sichuan Agricultural University, Ya'an, Sichuan, China
| | - Xiaoyu Xi
- Department of Zoology, College of Life Science, Sichuan Agricultural University, Ya'an, Sichuan, China
| | - Peilin Li
- Sichuan Weimu Modern Agricultural Science and Technology Co., Ltd, Chengdu, Sichuan, China
| | - Anxiang Wen
- Department of Zoology, College of Life Science, Sichuan Agricultural University, Ya'an, Sichuan, China
| | - Li Zhu
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu, Sichuan, China
| | - Guoqing Tang
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu, Sichuan, China
| | - Mingzhou Li
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu, Sichuan, China
| | - Xuewei Li
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu, Sichuan, China
| | - Yanzhi Jiang
- Department of Zoology, College of Life Science, Sichuan Agricultural University, Ya'an, Sichuan, China
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17
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Morsiani C, Bacalini MG, Santoro A, Garagnani P, Collura S, D'Errico A, de Eguileor M, Grazi GL, Cescon M, Franceschi C, Capri M. The peculiar aging of human liver: A geroscience perspective within transplant context. Ageing Res Rev 2019; 51:24-34. [PMID: 30772626 DOI: 10.1016/j.arr.2019.02.002] [Citation(s) in RCA: 28] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2018] [Revised: 02/13/2019] [Accepted: 02/13/2019] [Indexed: 02/06/2023]
Abstract
An appraisal of recent data highlighting aspects inspired by the new Geroscience perspective are here discussed. The main findings are summarized as follows: i) liver has to be considered an immunological organ, and new studies suggest a role for the recently described cells named telocytes; ii) the liver-gut axis represents a crucial connection with environment and life style habits and may influence liver diseases onset; iii) the physiological aging of liver shows relatively modest alterations. Nevertheless, several molecular changes appear to be relevant: a) an increase of microRNA-31-5p; -141-3p; -200c-3p expressions after 60 years of age; b) a remodeling of genome-wide DNA methylation profile evident until 60 years of age and then plateauing; c) changes in transcriptome including the metabolic zones of hepatocyte lobules; d) liver undergoes an accelerated aging in presence of chronic inflammation/liver diseases in a sort of continuum, largely as a consequence of unhealthy life styles and exposure to environmental noxious agents. We argue that chronic liver inflammation has all the major characteristics of "inflammaging" and likely sustains the onset and progression of liver diseases. Finally, we propose to use a combination of parameters, mostly obtained by omics such as transcriptomics and epigenomics, to evaluate in deep both the biological age of liver (in comparison with the chronological age) and the effects of donor-recipient age-mismatches in the context of liver transplant.
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Affiliation(s)
- Cristina Morsiani
- Department of Experimental, Diagnostic and Specialty Medicine, University of Bologna, Bologna, Italy.
| | | | - Aurelia Santoro
- Department of Experimental, Diagnostic and Specialty Medicine, University of Bologna, Bologna, Italy; CIG-Interdepartmental Center "Galvani", University of Bologna, Bologna, Italy
| | - Paolo Garagnani
- Department of Experimental, Diagnostic and Specialty Medicine, University of Bologna, Bologna, Italy; CIG-Interdepartmental Center "Galvani", University of Bologna, Bologna, Italy; Clinical Chemistry Department of Laboratory Medicine, Karolinska Institutet at Huddinge University Hospital, Stockholm, Sweden; Laboratory of Cell Biology, Rizzoli Orthopaedic Institute, Bologna, Italy; CNR Institute of Molecular Genetics, Unit of Bologna, Bologna, Italy; Center for Applied Biomedical Research (CRBA), St. Orsola-Malpighi University Hospital, Bologna, Italy
| | - Salvatore Collura
- Department of Experimental, Diagnostic and Specialty Medicine, University of Bologna, Bologna, Italy
| | - Antonia D'Errico
- Pathology Unit, Department of Experimental, Diagnostic and Specialty Medicine (DIMES), S. Orsola-Malpighi Hospital, University of Bologna, Bologna 40138, Italy
| | - Magda de Eguileor
- DBSV-Dipartimento di Biotecnologie e Scienze della Vita, Università degli Studi dell'Insubria, Varese, Italy
| | | | - Matteo Cescon
- DIMEC-Department of Medical and Surgical Sciences, S. Orsola-Malpighi Hospital, Bologna, Italy
| | - Claudio Franceschi
- Department of Experimental, Diagnostic and Specialty Medicine, University of Bologna, Bologna, Italy; Department of Applied Mathematics of the Institute of ITMM, National Research Lobachevsky State University of Nizhny Novgorod, Russian Federation
| | - Miriam Capri
- Department of Experimental, Diagnostic and Specialty Medicine, University of Bologna, Bologna, Italy; CIG-Interdepartmental Center "Galvani", University of Bologna, Bologna, Italy; CSR-Centro di Studio per la Ricerca dell'Invecchiamento, University of Bologna, Bologna, Italy
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18
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de Boer JD, Blok JJ, Putter H, Koopman JJE, van Hoek B, Samuel U, van Rosmalen M, Metselaar HJ, Alwayn IPJ, Guba M, Braat AE. Optimizing the Use of Geriatric Livers for Transplantation in the Eurotransplant Region. Liver Transpl 2019; 25:260-274. [PMID: 30317683 PMCID: PMC6590373 DOI: 10.1002/lt.25353] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/29/2018] [Accepted: 09/26/2018] [Indexed: 12/14/2022]
Abstract
Acceptance criteria for liver allografts are ever more expanding because of a persisting wait-list mortality. Older livers are therefore offered and used more frequently for transplantation. This study aims to analyze the use and longterm outcome of these transplantations. Data were included on 17,811 first liver transplantations (LTs) and information on livers that were reported for allocation but not transplanted from 2000 to 2015 in the Eurotransplant (ET) region. Graft survival was defined as the period between transplantation and date of retransplantation or date of recipient death. In the study period, 2394 (13%) transplantations were performed with livers ≥70 years old. Graft survival was 74%, 57%, and 41% at 1-, 5-, and 10-year follow-up, respectively. A history of diabetes mellitus in the donor (hazard ratio [HR], 1.3; P = 0.01) and positive hepatitis C virus antibody in the recipient (HR, 1.5; P < 0.001) are specific risk factors for transplantations with livers ≥70 years old. Although donor age is associated with a linearly increasing risk of graft loss between 25 and 80 years old, no difference in graft survival could be observed when "preferred" recipients were transplanted with a liver <70 or ≥70 years old (HR 1.1; CI 0.92-1.23, P = 0.40) or with a donor <40 or ≥70 years old (HR 1.2; CI 0.96-1.37, P = 0.13). Utilization of reported livers ≥70 years old increased from 42% in 2000-2003 to 76% in 2013-2015 without a decrease in graft survival (P = 0.45). In conclusion, an important proportion of LTs in the ET region are performed with livers ≥70 years old. The risk of donor age on graft loss increases linearly between 25 and 80 years old. Livers ≥70 years old can, however, be transplanted safely in preferred patients and are to be used more frequently to further reduce wait-list mortality.
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Affiliation(s)
- Jacob D. de Boer
- Departments of Surgery, Division of TransplantationLeiden University Medical CenterLeidenthe Netherlands,Eurotransplant International FoundationLeidenthe Netherlands
| | - Joris J. Blok
- Departments of Surgery, Division of TransplantationLeiden University Medical CenterLeidenthe Netherlands
| | - Hein Putter
- Medical StatisticsLeiden University Medical CenterLeidenthe Netherlands
| | | | - Bart van Hoek
- Gastroenterology and HepatologyLeiden University Medical CenterLeidenthe Netherlands
| | - Undine Samuel
- Eurotransplant International FoundationLeidenthe Netherlands
| | | | - Herold J. Metselaar
- Department of Hepatology, Division of Transplantation, Erasmus Medical CenterRotterdam UniversityRotterdamthe Netherlands
| | - Ian P. J. Alwayn
- Departments of Surgery, Division of TransplantationLeiden University Medical CenterLeidenthe Netherlands
| | - Markus Guba
- Department of General, Visceral, Transplantation, Vascular and Thoracic SurgeryUniversity of Munich HospitalMunichGermany
| | - Andries E. Braat
- Departments of Surgery, Division of TransplantationLeiden University Medical CenterLeidenthe Netherlands
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19
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Nardini C, Moreau JF, Gensous N, Ravaioli F, Garagnani P, Bacalini MG. The epigenetics of inflammaging: The contribution of age-related heterochromatin loss and locus-specific remodelling and the modulation by environmental stimuli. Semin Immunol 2018; 40:49-60. [PMID: 30396810 DOI: 10.1016/j.smim.2018.10.009] [Citation(s) in RCA: 27] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/02/2018] [Revised: 10/12/2018] [Accepted: 10/15/2018] [Indexed: 12/12/2022]
Abstract
A growing amount of evidences indicates that inflammaging - the chronic, low grade inflammation state characteristic of the elderly - is the result of genetic as well as environmental or stochastic factors. Some of these, such as the accumulation of senescent cells that are persistent during aging or accompany its progression, seem to be sufficient to initiate the aging process and to fuel it. Others, like exposure to environmental compounds or infections, are temporary and resolve within a (relatively) short time. In both cases, however, a cellular memory of the event can be established by means of epigenetic modulation of the genome. In this review we will specifically discuss the relationship between epigenetics and inflammaging. In particular, we will show how age-associated epigenetic modifications concerned with heterochromatin loss and gene-specific remodelling, can promote inflammaging. Furthermore, we will recall how the exposure to specific nutritional, environmental and microbial stimuli can affect the rate of inflammaging through epigenetic mechanisms, touching also on the recent insight given by the concept of trained immunity.
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Affiliation(s)
- Christine Nardini
- Department of Laboratory Medicine, Karolinska Institutet, Stockholm, Sweden; CNR IAC "Mauro Picone", Roma, Italy; Personal Genomics S.r.l., Verona, Italy
| | - Jean-Francois Moreau
- University of Bordeaux, CNRS-UMR5164, 146 rue Léo Saignat, 33076 Bordeaux, France; CHU Bordeaux, Place Amélie Raba-Léon, Bordeaux, France
| | - Noémie Gensous
- Department of Experimental, Diagnostic and Specialty Medicine (DIMES), University of Bologna, Bologna, Italy
| | - Francesco Ravaioli
- Department of Experimental, Diagnostic and Specialty Medicine (DIMES), University of Bologna, Bologna, Italy
| | - Paolo Garagnani
- Department of Experimental, Diagnostic and Specialty Medicine (DIMES), University of Bologna, Bologna, Italy; Clinical Chemistry, Department of Laboratory Medicine, Karolinska Institutet at Huddinge University Hospital, Stockholm, Sweden; Laboratory of Cell Biology, Rizzoli Orthopaedic Institute, Bologna, Italy; CNR Institute of Molecular Genetics, Unit of Bologna, Bologna, Italy; Center for Applied Biomedical Research (CRBA), St. Orsola-Malpighi University Hospital, Bologna, Italy.
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