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Singh P, Singh R, Pasricha C, Kumari P. Navigating liver health with metabolomics: A comprehensive review. Clin Chim Acta 2025; 566:120038. [PMID: 39536895 DOI: 10.1016/j.cca.2024.120038] [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: 09/21/2024] [Revised: 11/06/2024] [Accepted: 11/10/2024] [Indexed: 11/16/2024]
Abstract
Non-alcoholic fatty liver disease (NAFLD) is the main cause of chronic liver disease worldwide, affecting one-fourth of the world's population. With more than half of the world's population, the Asia-Pacific region contributed 62.6 % of liver-related fatal incidents in 2015. Currently, liver imaging techniques such as computed tomography (CT), nuclear magnetic resonance (NMR) spectroscopy, and ultrasound are non-invasive imaging methods to diagnose the disease. A liver biopsy is the gold standard test for establishing the definite diagnosis of non-alcoholic steatohepatitis (NASH). However, there are still significant problems with sample variability and the procedure's invasiveness. Numerous studies have indicated various non-invasive biomarkers for both fibrosis and steatosis to counter the invasiveness of diagnostic procedures. Metabolomics could be a promising method for detecting early liver diseases, investigating pathophysiology, and developing drugs. Metabolomics, when utilized with other omics technologies, can result in a deeper understanding of biological systems. Metabolomics has emerged as a prominent research topic, offering extensive opportunities to investigate biomarkers for liver diseases that are both sensitive and specific. In this review, we have described the recent studies involving the use of a metabolomics approach in the diagnosis of liver diseases, which would be beneficial for the early detection and treatment of liver diseases.
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Affiliation(s)
- Preetpal Singh
- Chitkara College of Pharmacy, Chitkara University, Punjab, India
| | - Ravinder Singh
- Chitkara College of Pharmacy, Chitkara University, Punjab, India.
| | - Chirag Pasricha
- Chitkara College of Pharmacy, Chitkara University, Punjab, India
| | - Pratima Kumari
- Chitkara College of Pharmacy, Chitkara University, Punjab, India
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Rodriguez Franco G, Hsu CC. Uncovering the sex steroid hormone secrets in alcohol. ALCOHOL, CLINICAL & EXPERIMENTAL RESEARCH 2025; 49:95-98. [PMID: 39523479 PMCID: PMC11740176 DOI: 10.1111/acer.15479] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/17/2024] [Accepted: 10/23/2024] [Indexed: 11/16/2024]
Affiliation(s)
- Gian Rodriguez Franco
- Liver Disease BranchNational Institute of Diabetes and Digestive and Kidney DiseasesBethesdaMarylandUSA
| | - Christine C. Hsu
- Liver Disease BranchNational Institute of Diabetes and Digestive and Kidney DiseasesBethesdaMarylandUSA
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Lin G, Chen JH, Yin YH, Zhao HN, Liu Z, Qi XS. Application of metabolomics in liver cirrhosis and its complications. WORLD CHINESE JOURNAL OF DIGESTOLOGY 2024; 32:561-568. [DOI: 10.11569/wcjd.v32.i8.561] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/29/2024]
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Dimou A, Zachou K, Kostara C, Azariadis K, Giannoulis G, Lyberopoulou A, Bairaktari E, Dalekos GN. NMR-based metabolomic signature: An important tool for the diagnosis and study of pathogenesis of autoimmune hepatitis. Hepatology 2024; 80:266-277. [PMID: 38305739 DOI: 10.1097/hep.0000000000000767] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/21/2023] [Accepted: 12/08/2023] [Indexed: 02/03/2024]
Abstract
BACKGROUND AND AIMS Metabolomics is used to predict, diagnose, and monitor metabolic disorders but altered metabolomic signatures have also been reported in diverse diseases, including autoimmune disorders. However, the metabolomic profile in autoimmune hepatitis (AIH) has not been investigated in depth. Therefore, we investigated the metabolomic signature of AIH and its significance as a diagnostic and pathogenetic tool. APPROACH AND RESULTS Metabolites in plasma samples from 50 patients with AIH at diagnosis, 43 healthy controls, 72 patients with primary biliary cholangitis (PBC), 26 patients with metabolic dysfunction-associated liver disease, and 101 patients with chronic viral hepatitis were determined by 1 H NMR (nuclear magnetic resonance) spectroscopy. Fifty-two metabolites were quantified, and metabolic pathway analysis was performed. Multivariate analysis revealed that AIH could be differentiated from healthy controls and each of the disease controls ( p <0.001). Fifteen metabolites differentiated AIH from disease controls (PBC+chronic viral hepatitis+metabolic dysfunction-associated liver disease) (95% sensitivity and 92% specificity). Ten distinct metabolic pathways were altered in AIH compared to disease controls. The metabolic pathway of branched-chain amino acids (lower valine, leucine, and isoleucine levels and their catabolic intermediates in PBC), methionine (lower methionine, 2-aminobutyrate, and 2-hydroxybutyrate levels in PBC), alanine-aspartate-glutamate (lower metabolites in PBC), and that of metabolites associated with gut microbiota (lower choline, betaine, and dimethylamine levels in PBC) were significantly different between AIH and PBC ( p <0.01). CONCLUSIONS 1 H NMR spectroscopy could be a promising novel tool to diagnose and study AIH pathogenesis as there is no need for much sample handling, is highly reproducible with high sensitivity and specificity, and low cost.
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Affiliation(s)
- Aikaterini Dimou
- Department of Biochemistry, Laboratory of Clinical Chemistry, Faculty of Medicine, School of Health Sciences, University of Ioannina, Ioannina, Greece
| | - Kalliopi Zachou
- Department of Medicine and Research Laboratory of Internal Medicine, National Expertise Center of Greece in Autoimmune Liver Diseases, General University Hospital of Larissa, Larissa, Greece
- European Reference Network on Hepatological Diseases (ERN RARE-LIVER), General University Hospital of Larissa, Larissa, Greece
| | - Christina Kostara
- Department of Biochemistry, Laboratory of Clinical Chemistry, Faculty of Medicine, School of Health Sciences, University of Ioannina, Ioannina, Greece
| | - Kalliopi Azariadis
- Department of Medicine and Research Laboratory of Internal Medicine, National Expertise Center of Greece in Autoimmune Liver Diseases, General University Hospital of Larissa, Larissa, Greece
- European Reference Network on Hepatological Diseases (ERN RARE-LIVER), General University Hospital of Larissa, Larissa, Greece
| | - George Giannoulis
- Department of Medicine and Research Laboratory of Internal Medicine, National Expertise Center of Greece in Autoimmune Liver Diseases, General University Hospital of Larissa, Larissa, Greece
- European Reference Network on Hepatological Diseases (ERN RARE-LIVER), General University Hospital of Larissa, Larissa, Greece
| | - Aggeliki Lyberopoulou
- Department of Medicine and Research Laboratory of Internal Medicine, National Expertise Center of Greece in Autoimmune Liver Diseases, General University Hospital of Larissa, Larissa, Greece
- European Reference Network on Hepatological Diseases (ERN RARE-LIVER), General University Hospital of Larissa, Larissa, Greece
| | - Eleni Bairaktari
- Department of Biochemistry, Laboratory of Clinical Chemistry, Faculty of Medicine, School of Health Sciences, University of Ioannina, Ioannina, Greece
| | - George N Dalekos
- Department of Medicine and Research Laboratory of Internal Medicine, National Expertise Center of Greece in Autoimmune Liver Diseases, General University Hospital of Larissa, Larissa, Greece
- European Reference Network on Hepatological Diseases (ERN RARE-LIVER), General University Hospital of Larissa, Larissa, Greece
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Kronborg TM, Gao Q, Trošt K, Ytting H, O’Connell MB, Werge MP, Thing M, Gluud LL, Hamberg O, Møller S, Moritz T, Bendtsen F, Kimer N. Low sphingolipid levels predict poor survival in patients with alcohol-related liver disease. JHEP Rep 2024; 6:100953. [PMID: 38283758 PMCID: PMC10820332 DOI: 10.1016/j.jhepr.2023.100953] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/03/2023] [Revised: 10/08/2023] [Accepted: 10/20/2023] [Indexed: 01/30/2024] Open
Abstract
Background & Aims Alcohol-related hepatitis (AH) and alcohol-related cirrhosis are grave conditions with poor prognoses. Altered hepatic lipid metabolism can impact disease development and varies between different alcohol-related liver diseases. Therefore, we aimed to investigate lipidomics and metabolomics at various stages of alcohol-related liver diseases and their correlation with survival. Methods Patients with newly diagnosed alcohol-related cirrhosis, who currently used alcohol (ALC-A), stable outpatients with decompensated alcohol-related cirrhosis with at least 8 weeks of alcohol abstinence (ALC), and patients with AH, were compared with each other and with healthy controls (HC). Circulating lipids and metabolites were analysed using HPLC and mass spectrometry. Results Forty patients with ALC, 95 with ALC-A, 30 with AH, and 42 HC provided plasma. Lipid levels changed according to disease severity, with generally lower levels in AH and cirrhosis than in the HC group; this was most pronounced for AH, followed by ALC-A. Nine out of 10 free fatty acids differed between cirrhosis groups by relative increases of 0.12-0.66 in ALC compared with the ALC-A group (p <0.0005). For metabolomics, total bile acids increased by 19.7, 31.3, and 80.4 in the ALC, ALC-A, and AH groups, respectively, compared with HC (all p <0.0001). Low sphingolipid ([d42:1] and [d41:1]) levels could not predict 180-day mortality (AUC = 0.73, p = 0.95 and AUC = 0.73, p = 0.95) more accurately than the model for end-stage liver disease score (AUC = 0.71), but did predict 90-day mortality (AUC d42:1 = 0.922, AUC d41:1 = 0.893; pd42:1 = 0.005, pd41:1 = 0.007) more accurately than the MELD score AUCMELD = 0.70, pMELD = 0.19). Conclusions Alcohol-related severe liver disease is characterised by low lipid levels progressing with severity of liver disease, especially low sphingomyelins, which also associate to poor prognoses. Impact and implications Lipidomics has the potential to diagnose and risk stratify patients with liver diseases. Lipidomics differed between patients with alcohol-related hepatitis and alcohol-related cirrhosis with and without recent alcohol use. Furthermore, lipidomics could predict short-term mortality and might be suitable as a prognostic tool in the future. Clinical Trials Registration Scientific Ethics Committee of the Capital Region of Denmark, journal no. H-21013476.
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Affiliation(s)
| | - Qian Gao
- Novo Nordisk Foundation Centre for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Kajetan Trošt
- Novo Nordisk Foundation Centre for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Henriette Ytting
- Gastro Unit, Medical Division, University Hospital Hvidovre, Hvidovre, Denmark
- Department of Clinical Medicine, Faculty of Health Sciences, University of Copenhagen, Copenhagen, Denmark
| | | | | | - Mira Thing
- Gastro Unit, Medical Division, University Hospital Hvidovre, Hvidovre, Denmark
| | - Lise Lotte Gluud
- Gastro Unit, Medical Division, University Hospital Hvidovre, Hvidovre, Denmark
| | - Ole Hamberg
- Medical Department, University Hospital of Zealand, Koege, Denmark
| | - Søren Møller
- Department of Clinical Medicine, Faculty of Health Sciences, University of Copenhagen, Copenhagen, Denmark
- Centre for Functional and Diagnostic Imaging and Research, Department of Clinical Physiology and Nuclear Medicine, Hvidovre Hospital, Hvidovre, Denmark
| | - Thomas Moritz
- Novo Nordisk Foundation Centre for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Flemming Bendtsen
- Gastro Unit, Medical Division, University Hospital Hvidovre, Hvidovre, Denmark
| | - Nina Kimer
- Gastro Unit, Medical Division, University Hospital Hvidovre, Hvidovre, Denmark
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Xu R, He L, Vatsalya V, Ma X, Kim S, Mueller EG, Feng W, McClain CJ, Zhang X. Metabolomics analysis of urine from patients with alcohol-associated liver disease reveals dysregulated caffeine metabolism. Am J Physiol Gastrointest Liver Physiol 2023; 324:G142-G154. [PMID: 36513601 PMCID: PMC9870580 DOI: 10.1152/ajpgi.00228.2022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/27/2022] [Revised: 11/28/2022] [Accepted: 12/12/2022] [Indexed: 12/15/2022]
Abstract
Excess alcohol intake causes millions of deaths annually worldwide. Asymptomatic early-stage, alcohol-associated liver disease (ALD) is easily overlooked, and ALD is usually only diagnosed in more advanced stages. We explored the possibility of using polar urine metabolites as biomarkers of ALD for early-stage diagnosis and functional assessment of disease severity by quantifying the abundance of polar metabolites in the urine samples of healthy controls (n = 18), patients with mild or moderate liver injury (n = 21), and patients with severe alcohol-associated hepatitis (n = 25). The polar metabolites in human urine were first analyzed by untargeted metabolomics, showing that 209 urine metabolites are significantly changed in patients, and 17 of these are highly correlated with patients' model for end-stage liver disease (MELD) score. Pathway enrichment analysis reveals that the caffeine metabolic pathway is the most affected in ALD. We then developed a targeted metabolomics method and measured the concentration of caffeine and its metabolites in urine using internal and external standard calibration, respectively. The described method can quantify caffeine and its 14 metabolites in 35 min. The results of targeted metabolomics analysis agree with the results of untargeted metabolomics, showing that 13 caffeine metabolites are significantly decreased in patients. In particular, the concentrations of 1-methylxanthine, paraxanthine, and 5-acetylamino-6-amino-3-methyluracil are markedly decreased with increased disease severity. We suggest that these three metabolites could serve as functional biomarkers for differentiating early-stage ALD from more advanced liver injury.NEW & NOTEWORTHY Our study using both untargeted and targeted metabolomics reveals the caffeine metabolic pathway is dysregulated in ALD. Three caffeine metabolites, 1-methylxanthine, paraxanthine, and 5-acetylamino-6-amino-3-methyluracil, can differentiate the severity of early-stage ALD.
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Affiliation(s)
- Raobo Xu
- Department of Chemistry, University of Louisville, Louisville, Kentucky
- Alcohol Research Center, University of Louisville School of Medicine, Louisville, Kentucky
- Hepatobiology and Toxicology Center of Biomedical Research Excellence, University of Louisville School of Medicine Louisville, Louisville, Kentucky
- Center for Regulatory and Environmental Analytical Metabolomics, University of Louisville, Louisville, Kentucky
| | - Liqing He
- Department of Chemistry, University of Louisville, Louisville, Kentucky
- Alcohol Research Center, University of Louisville School of Medicine, Louisville, Kentucky
- Hepatobiology and Toxicology Center of Biomedical Research Excellence, University of Louisville School of Medicine Louisville, Louisville, Kentucky
- Center for Regulatory and Environmental Analytical Metabolomics, University of Louisville, Louisville, Kentucky
| | - Vatsalya Vatsalya
- Alcohol Research Center, University of Louisville School of Medicine, Louisville, Kentucky
- Department of Medicine, University of Louisville, Louisville, Kentucky
| | - Xipeng Ma
- Department of Chemistry, University of Louisville, Louisville, Kentucky
- Alcohol Research Center, University of Louisville School of Medicine, Louisville, Kentucky
- Hepatobiology and Toxicology Center of Biomedical Research Excellence, University of Louisville School of Medicine Louisville, Louisville, Kentucky
- Center for Regulatory and Environmental Analytical Metabolomics, University of Louisville, Louisville, Kentucky
| | - Seongho Kim
- Department of Oncology, Wayne State University, Detroit, Michigan
- Biostatistics and Bioinformatics Core, Karmanos Cancer Institute, Wayne State University, Detroit, Michigan
| | - Eugene G Mueller
- Department of Chemistry, University of Louisville, Louisville, Kentucky
| | - Wenke Feng
- Alcohol Research Center, University of Louisville School of Medicine, Louisville, Kentucky
- Hepatobiology and Toxicology Center of Biomedical Research Excellence, University of Louisville School of Medicine Louisville, Louisville, Kentucky
- Department of Medicine, University of Louisville, Louisville, Kentucky
- Department of Pharmacology and Toxicology, University of Louisville, Louisville, Kentucky
| | - Craig J McClain
- Alcohol Research Center, University of Louisville School of Medicine, Louisville, Kentucky
- Hepatobiology and Toxicology Center of Biomedical Research Excellence, University of Louisville School of Medicine Louisville, Louisville, Kentucky
- Department of Medicine, University of Louisville, Louisville, Kentucky
- Department of Pharmacology and Toxicology, University of Louisville, Louisville, Kentucky
- Robley Rex Louisville Veterans Affairs Medical Center, Louisville, Kentucky
| | - Xiang Zhang
- Department of Chemistry, University of Louisville, Louisville, Kentucky
- Alcohol Research Center, University of Louisville School of Medicine, Louisville, Kentucky
- Hepatobiology and Toxicology Center of Biomedical Research Excellence, University of Louisville School of Medicine Louisville, Louisville, Kentucky
- Center for Regulatory and Environmental Analytical Metabolomics, University of Louisville, Louisville, Kentucky
- Department of Pharmacology and Toxicology, University of Louisville, Louisville, Kentucky
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Wu C, Xing X, Liu G, Su D, Li A, Gui S, Lu W, Liang J. Effects of Nongxiangxing baijiu (Chinese liquor) on mild alcoholic liver injury revealed by non-target metabolomics using ultra-performance liquid chromatography quadrupole-time-of-flight mass spectrometry. J Biosci Bioeng 2022; 134:62-69. [PMID: 35597723 DOI: 10.1016/j.jbiosc.2022.04.003] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2021] [Revised: 03/30/2022] [Accepted: 04/08/2022] [Indexed: 11/30/2022]
Abstract
Nongxiangxing baijiu (Chinese liquor) is one of the most widely consumed beverages in China. This liquor has been shown to contain large quantities of various bioactive ingredients that are beneficial to health. The goals of the present study were to examine the effects of moderate dose Nongxiangxing baijiu on alcoholic liver injury in rats, and to explore the mechanism of action of Nongxiangxing baijiu on alcoholic liver injury. To accomplish these goals, we developed a metabolomic analysis method based on ultra-performance liquid chromatography quadrupole-time-of-flight mass spectrometry (UPLC-Q-TOF/MS) analysis and multivariate statistical analysis. Our serum lipid and hepatic histopathology results demonstrate that ethanol administration induced mild alcoholic liver injury in rats. However, these ethanol-induced changes were significantly alleviated in the Nongxiangxing baijiu group. These results suggest that moderate dose Nongxiangxing baijiu might have a preventive effect on mild alcoholic liver injury. Using our metabolomics method, we were able to identify 45 differential metabolites in serum and urine which could be used to characterize mild alcoholic liver injury in rats. Of these, 15 differential metabolites, including four Lysophosphatidylethanolamines, two phosphatidylcholines, four long-chain fatty acids, one porphyrin, two esters, one ceramide, and one triol, were regulated by Nongxiangxing baijiu. KEGG metabolic pathway analysis revealed that the main metabolic pathway regulated by Nongxiangxing baijiu was the glycerolipid pathway. Together, these findings provide evidence that moderate dose Nongxiangxing baijiu can reduce mild alcoholic liver injury (including metabolic disorders). Our study also provides preliminary data on the mechanism of action of Nongxiangxing baijiu in liver injury.
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Affiliation(s)
- Cuifang Wu
- Anhui Gujing Gongjiu Co. Ltd., Bozhou, 236820 Anhui, China
| | - Xiaofan Xing
- School of Pharmacy, Anhui University of Chinese Medicine, Hefei 230012, China
| | - Guoying Liu
- Anhui Gujing Gongjiu Co. Ltd., Bozhou, 236820 Anhui, China
| | - Die Su
- School of Pharmacy, Anhui University of Chinese Medicine, Hefei 230012, China
| | - Anjun Li
- Anhui Gujing Gongjiu Co. Ltd., Bozhou, 236820 Anhui, China
| | - Shuangying Gui
- School of Pharmacy, Anhui University of Chinese Medicine, Hefei 230012, China; Anhui Province Key Laboratory of Pharmaceutical Preparation Technology and Application, Hefei 230021, China
| | - Wei Lu
- Anhui Gujing Gongjiu Co. Ltd., Bozhou, 236820 Anhui, China
| | - Juan Liang
- School of Pharmacy, Anhui University of Chinese Medicine, Hefei 230012, China; Anhui Province Key Laboratory of Chinese Medicinal Formula, Hefei 230021, China.
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Masarone M, Troisi J, Aglitti A, Torre P, Colucci A, Dallio M, Federico A, Balsano C, Persico M. Untargeted metabolomics as a diagnostic tool in NAFLD: discrimination of steatosis, steatohepatitis and cirrhosis. Metabolomics 2021; 17:12. [PMID: 33458794 DOI: 10.1007/s11306-020-01756-1] [Citation(s) in RCA: 48] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/17/2020] [Accepted: 12/09/2020] [Indexed: 02/07/2023]
Abstract
INTRODUCTION Non-Alcoholic Fatty Liver Disease encompasses a spectrum of diseases ranging from simple steatosis to steatohepatitis (or NASH), up to cirrhosis and hepatocellular carcinoma (HCC). The challenge is to recognize the more severe and/or progressive pathology. A reliable non-invasive method does not exist. Untargeted metabolomics is a novel method to discover biomarkers and give insights on diseases pathophysiology. OBJECTIVES We applied metabolomics to understand if simple steatosis, steatohepatitis and cirrhosis in NAFLD patients have peculiar metabolites profiles that can differentiate them among each-others and from controls. METHODS Metabolomics signatures were obtained from 307 subjects from two separated enrollments. The first collected samples from 69 controls and 144 patients (78 steatosis, 23 NASH, 15 NASH-cirrhosis, 8 HCV-cirrhosis, 20 cryptogenic cirrhosis). The second, used as validation-set, enrolled 44 controls and 50 patients (34 steatosis, 10 NASH and 6 NASH-cirrhosis).The "Partial-Least-Square Discriminant-Analysis"(PLS-DA) was used to reveal class separation in metabolomics profiles between patients and controls and among each class of patients, and to reveal the metabolites contributing to class differentiation. RESULTS Several metabolites were selected as relevant, in particular:Glycocholic acid, Taurocholic acid, Phenylalanine, branched-chain amino-acids increased at the increase of the severity of the disease from steatosis to NASH, NASH-cirrhosis, while glutathione decreased (p < 0.001 for each). Moreover, an ensemble machine learning (EML) model was built (comprehending 10 different mathematical models) to verify diagnostic performance, showing an accuracy > 80% in NAFLD clinical stages prediction. CONCLUSIONS Metabolomics profiles of NAFLD patients could be a useful tool to non-invasively diagnose NAFLD and discriminate among the various stages of the disease, giving insights into its pathophysiology.
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Affiliation(s)
- Mario Masarone
- Internal Medicine and Hepatology Unit, Department of Medicine, Surgery and Dentistry, "Scuola Medica Salernitana", University of Salerno, Via Salvador Allende, 84081, Baronissi, SA, Italy
| | - Jacopo Troisi
- Internal Medicine and Hepatology Unit, Department of Medicine, Surgery and Dentistry, "Scuola Medica Salernitana", University of Salerno, Via Salvador Allende, 84081, Baronissi, SA, Italy
- Theoreo srl, Via degli Ulivi 3, 84090, Montecorvino Pugliano, SA, Italy
- European Biomedical Research Institute of Salerno (EBRIS), Via S. de Renzi, 3, 84125, Salerno, SA, Italy
- Hosmotic srl, Via R. Bosco 178, 80069, Vico Equense, NA, Italy
| | - Andrea Aglitti
- Internal Medicine and Hepatology Unit, Department of Medicine, Surgery and Dentistry, "Scuola Medica Salernitana", University of Salerno, Via Salvador Allende, 84081, Baronissi, SA, Italy
| | - Pietro Torre
- Internal Medicine and Hepatology Unit, Department of Medicine, Surgery and Dentistry, "Scuola Medica Salernitana", University of Salerno, Via Salvador Allende, 84081, Baronissi, SA, Italy
| | - Angelo Colucci
- Internal Medicine and Hepatology Unit, Department of Medicine, Surgery and Dentistry, "Scuola Medica Salernitana", University of Salerno, Via Salvador Allende, 84081, Baronissi, SA, Italy
- Theoreo srl, Via degli Ulivi 3, 84090, Montecorvino Pugliano, SA, Italy
| | - Marcello Dallio
- Hepatogastroenterology Division, University of Campania "Luigi Vanvitelli", Via S Pansini 5, 80131, Naples, Italy
| | - Alessandro Federico
- Hepatogastroenterology Division, University of Campania "Luigi Vanvitelli", Via S Pansini 5, 80131, Naples, Italy
| | - Clara Balsano
- MESVA Department, University of L'Aquila, Piazza S. Salvatore Tommasi 1, 67100, Coppito, L'Aquila, Italy
- F. Balsano Foundation, Via Giovanni Battista Martini 6, 00198, Rome, Italy
| | - Marcello Persico
- Internal Medicine and Hepatology Unit, Department of Medicine, Surgery and Dentistry, "Scuola Medica Salernitana", University of Salerno, Via Salvador Allende, 84081, Baronissi, SA, Italy.
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Tang J, Xiong K, Zhang T, Han Han. Application of Metabolomics in Diagnosis and Treatment of Chronic Liver Diseases. Crit Rev Anal Chem 2020; 52:906-916. [PMID: 33146026 DOI: 10.1080/10408347.2020.1842172] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Chronic liver disease represents stepwise destruction of the liver parenchyma after chronic liver injury, which is often difficult to be diagnosed accurately. Thus, the development of specific biomarkers of chronic liver disease is important. Metabolomics is a powerful tool for biomarker exploration, which enables the exploration of disease pathogenesis or drug action mechanisms at the global metabolic level. The metabolomics workflow generally includes collection, preparation, and analysis of samples, and data processing and bioinformatics. A metabolomics study can simultaneously detect the dysfunctions in the glucose, lipid, amino-acid, and nucleotide metabolisms. Hence, it facilitates the obtaining of a better understanding of the pathogenesis of chronic liver disease and its diagnosis. Many effective drugs could reverse the change of comprehensive biochemical phenotypes induced by chronic liver disease. They can even potentially restore the normal metabolic signatures of patients. Increasingly more researchers have begun to apply metabolomics technologies to diagnose chronic liver disease and investigate the mechanism of action of effective drugs or the variations in drug responses. We are convinced that deepening the understanding of the metabolic alterations could extend their use as powerful biomarkers, promoting the more effective clinical diagnosis and treatment of chronic liver disease in the future.
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Affiliation(s)
- Jie Tang
- Experiment Center for Teaching and Learning, Shanghai University of Traditional Chinese Medicine, Shanghai, China.,School of Pharmacy, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Kai Xiong
- Experiment Center for Teaching and Learning, Shanghai University of Traditional Chinese Medicine, Shanghai, China.,School of Pharmacy, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Tong Zhang
- Experiment Center for Teaching and Learning, Shanghai University of Traditional Chinese Medicine, Shanghai, China.,School of Pharmacy, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Han Han
- Experiment Center for Teaching and Learning, Shanghai University of Traditional Chinese Medicine, Shanghai, China.,School of Pharmacy, Shanghai University of Traditional Chinese Medicine, Shanghai, China.,Institute of Chinese Materia Medica, Shanghai University of Traditional Chinese Medicine, Shanghai, China
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Ryou M, Stylopoulos N. Endoscopic ultrasound-guided sampling and profiling of portal circulation in human patients for metabolic research studies and biomarker assessment. Am J Physiol Gastrointest Liver Physiol 2020; 319:G584-G588. [PMID: 32877219 PMCID: PMC8087344 DOI: 10.1152/ajpgi.00135.2020] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/31/2023]
Abstract
Portal and hepatic circulation can now be safely accessed using endoscopic ultrasound (EUS). EUS-guided needle access of the portal vein is performed clinically at select tertiary centers for measurement of portal pressure gradients in patients with chronic liver disease and sampling of portal venous thrombus to diagnose malignancy. We propose that this novel clinical technique can be applied in research studies to allow blood collection from and profiling of portal and hepatic circulation. In this technical report, we present and highlight the technical aspects, feasibility, and safety of EUS: guided portal venous blood collection. As a proof of the concept and the utility of this technique in metabolic research and biomarker assessment and discovery, we present a pilot metabolite profiling study of portal venous blood in a small cohort of patients with cirrhosis and a comparison with a group without cirrhosis. Despite the very small diameter of the endoscopic needle used for the blood collection, the portal samples have the same quality as those collected from systemic circulation, and they can be used for the same downstream applications. Finally, we propose an analytical workflow to screen for promising metabolites that could qualify for further studies to determine their utility as sensitive, early candidate biomarkers of hepatic fibrosis, portal shunt, and hypertension. We hope that this report could stimulate and facilitate the widespread use of EUS-guided techniques for the profiling of portal circulation, which could potentially open a new field of scientific inquiry.NEW & NOTEWORTHY The technical aspects, feasibility, and safety of endoscopic ultrasound (EUS)-guided needle access for portal venous blood collection are presented in this technical report. Despite the very small diameter of the endoscopic needle, portal blood samples have the same quality as those collected from systemic circulation. As a proof of the concept and the utility of this technique in metabolic research and biomarker assessment and discovery, we present a pilot metabolite profiling study of portal venous blood in a small cohort of patients with cirrhosis and a comparison with a group without cirrhosis.
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Affiliation(s)
- Marvin Ryou
- 1Division of Gastroenterology, Brigham and Women’s Hospital, Boston, Massachusetts,3Harvard Medical School, Boston, Massachusetts
| | - Nicholas Stylopoulos
- 2Research Center for Healthy Metabolism, Division of Endocrinology, Boston Children’s Hospital, Boston, Massachusetts,3Harvard Medical School, Boston, Massachusetts,4Broad Institute of MIT and Harvard, Cambridge, Massachusetts
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Suciu A, Abenavoli L, Pellicano R, Luzza F, Dumitrascu DL. Transaminases: oldies but goldies. A narrative review. MINERVA GASTROENTERO 2020; 66:246-251. [PMID: 31994373 DOI: 10.23736/s1121-421x.20.02660-4] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
Abstract
Worldwide, patients are tested for acute and chronic diseases using a series of basic blood assays. The most common liver tests are serum alanine aminotransferase (ALT) and aspartate aminotransferase (AST), also called transaminases. These tests are indicators of hepatocellular injury and their increase requires further investigations. The aim of this descriptive review is to highlight and remind the importance of liver transaminases in daily practice. A systematic literature search of the main international databases was performed. We looked for papers that involved transaminases, either in the normal range or in case of increased level and focused on their use in clinical practice. A narrative review of this topic was written. Multiple studies have demonstrated that the presence of an elevated ALT was associated with increased liver-related mortality. The normal ALT level ranges from 29 to 33 IU/L in males and 19 to 25 IU/L in females. The investigations imposed by a high level of transaminases includes testing for viral hepatitis A, B, C and E, assessment for nonalcoholic fatty liver disease and alcoholic liver disease, screening for autoimmune hepatitis, hemochromatosis, Wilson's disease and alpha-1 antitrypsin deficiency. Hepatotoxic drugs consumption also should be excluded. Furthermore, the utility of transaminases is evident in the assessment of the outcome after treatment of each specific liver disease. Beside the role in the first diagnostic step of liver injuries, the utility of liver transaminases is also maintained during the follow-up of liver diseases and in their prognostic assessment.
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Affiliation(s)
- Alina Suciu
- Second Medical Department, "Iuliu Hatieganu" University of Medicine and Pharmacy, Cluj-Napoca, Romania
| | - Ludovico Abenavoli
- Department of Health Sciences, Magna Graecia University, Catanzaro, Italy -
| | - Rinaldo Pellicano
- Unit of Gastroenterology, Molinette Hospital, Città della Salute e della Scienza, Turin, Italy
| | - Francesco Luzza
- Department of Health Sciences, Magna Graecia University, Catanzaro, Italy
| | - Dan L Dumitrascu
- Second Medical Department, "Iuliu Hatieganu" University of Medicine and Pharmacy, Cluj-Napoca, Romania
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Beyoğlu D, Idle JR. Metabolomic and Lipidomic Biomarkers for Premalignant Liver Disease Diagnosis and Therapy. Metabolites 2020; 10:E50. [PMID: 32012846 PMCID: PMC7074571 DOI: 10.3390/metabo10020050] [Citation(s) in RCA: 61] [Impact Index Per Article: 12.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2020] [Revised: 01/24/2020] [Accepted: 01/26/2020] [Indexed: 02/07/2023] Open
Abstract
In recent years, there has been a plethora of attempts to discover biomarkers that are more reliable than α-fetoprotein for the early prediction and prognosis of hepatocellular carcinoma (HCC). Efforts have involved such fields as genomics, transcriptomics, epigenetics, microRNA, exosomes, proteomics, glycoproteomics, and metabolomics. HCC arises against a background of inflammation, steatosis, and cirrhosis, due mainly to hepatic insults caused by alcohol abuse, hepatitis B and C virus infection, adiposity, and diabetes. Metabolomics offers an opportunity, without recourse to liver biopsy, to discover biomarkers for premalignant liver disease, thereby alerting the potential of impending HCC. We have reviewed metabolomic studies in alcoholic liver disease (ALD), cholestasis, fibrosis, cirrhosis, nonalcoholic fatty liver (NAFL), and nonalcoholic steatohepatitis (NASH). Specificity was our major criterion in proposing clinical evaluation of indole-3-lactic acid, phenyllactic acid, N-lauroylglycine, decatrienoate, N-acetyltaurine for ALD, urinary sulfated bile acids for cholestasis, cervonoyl ethanolamide for fibrosis, 16α-hydroxyestrone for cirrhosis, and the pattern of acyl carnitines for NAFL and NASH. These examples derive from a large body of published metabolomic observations in various liver diseases in adults, adolescents, and children, together with animal models. Many other options have been tabulated. Metabolomic biomarkers for premalignant liver disease may help reduce the incidence of HCC.
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Affiliation(s)
| | - Jeffrey R. Idle
- Arthur G. Zupko’s Division of Systems Pharmacology and Pharmacogenomics, Arnold & Marie Schwartz College of Pharmacy and Health Sciences, Long Island University, 75 Dekalb Avenue, Brooklyn, NY 11201, USA;
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ten Hove M, Pater L, Storm G, Weiskirchen S, Weiskirchen R, Lammers T, Bansal R. The hepatic lipidome: From basic science to clinical translation. Adv Drug Deliv Rev 2020; 159:180-197. [PMID: 32615143 DOI: 10.1016/j.addr.2020.06.027] [Citation(s) in RCA: 41] [Impact Index Per Article: 8.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2020] [Revised: 06/05/2020] [Accepted: 06/25/2020] [Indexed: 02/07/2023]
Abstract
The liver is the key organ involved in lipid metabolism and transport. Excessive lipid accumulation due to dysregulated lipid metabolism predisposes the liver to steatosis, cirrhosis, and hepatocellular carcinoma. Lipids are generally compartmentalized in specialized organelles called lipid droplets that enable cells to store and release lipids in a regulated manner. However, during flux-in and flux-out of droplets, lipids are converted into toxic species leading to lipid-mediated liver damage. Lipids are categorized into 'toxic' or 'healthy' lipids that are involved in liver disease pathogenesis or resolution, respectively. Lipidomic analysis have revealed unique lipid signature that correlates with the disease progression therefore being used for disease diagnosis. In this comprehensive review, we provide an overview on hepatic lipid homeostasis, lipid compartmentalization mechanisms and lipidomic profiles in different liver diseases. We further discuss promising therapeutics targeting the hepatic lipidome including pro-resolving lipids, liposomes, and small-molecule inhibitors for the treatment of liver diseases.
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Gloor Y, Schvartz D, F Samer C. Old problem, new solutions: biomarker discovery for acetaminophen liver toxicity. Expert Opin Drug Metab Toxicol 2019; 15:659-669. [PMID: 31293190 DOI: 10.1080/17425255.2019.1642323] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Introduction: Although the hepatotoxicity of acetaminophen is a well-known problem, the search for reliable biomarker of toxicity is still a current issue as clinical tools are missing to assess patients intoxicated following chronic use, sequential ingestion, use of modified release formulations or in case of delayed arrival to hospital. The need for new specific and robust biomarkers for acetaminophen toxicity has prompted many studies exploring the use of blood levels of acetaminophen derivatives, mitochondrial damage markers, liver cell apoptosis and/or necrosis markers and circulating microRNAs. Areas covered: In this review, we present a concise overview of the most promising biomarkers currently under evaluation including descriptions of their properties with respect to exposure type, APAP specificity, and potential clinical application. In addition, we illustrate the power of new technologies for biomarker research and describe their current application to the field of acetaminophen-induced hepatotoxicity. Expert opinion: Recently the use of extracellular vesicles isolation in combination with omics techniques has opened a new perspective to the field of biomarker research. However, the potential of those new technologies for the prediction and monitoring of hepatic diseases and acetaminophen toxicity has not yet been fully taken into consideration.
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Affiliation(s)
- Yvonne Gloor
- a Division of clinical pharmacology and toxicology, Geneva University Hospital , Geneva , Switzerland.,b Laboratory of clinical pharmacology, Faculty of Medicine, University of Geneva , Geneva , Switzerland
| | - Domitille Schvartz
- c Department of internal medicine specialties, Faculty of Medicine, University of Geneva , Geneva , Switzerland
| | - Caroline F Samer
- a Division of clinical pharmacology and toxicology, Geneva University Hospital , Geneva , Switzerland.,b Laboratory of clinical pharmacology, Faculty of Medicine, University of Geneva , Geneva , Switzerland
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Sun J, Li B, Sun A, Zhao K, Ma Y, Zhao J, Pan H, Song Q, Wang Y, Yu C, Wang C, Zhang H, Zhang W, Kong C. Comprehensive analysis of aberrantly expressed profiles of messenger RNA in alcoholic liver disease. J Cell Biochem 2018; 120:4248-4254. [PMID: 30294942 DOI: 10.1002/jcb.27710] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2018] [Accepted: 08/29/2018] [Indexed: 12/17/2022]
Abstract
BACKGROUND Alcoholic liver disease (ALD) is one of the major cause of morbidity and mortality of clinical liver disease worldwide. Until today, although many general therapies are carried out and several molecular targets have been proposed to act as the potential therapeutic targets, more accurate molecular targets and more effective therapeutic methods remain needed. MATERIAL AND METHODS In the study, we analyze the differential expression genes (DEGs) between the patients with ALD and healthy controls. Gene Ontology enrichment and KEGG signaling pathway analysis are performed to identify the function of DEGs. Some significant molecules are proposed to act as the potential therapeutic targets for ALD. RNA data of 15 ALD tissues and 7 normal tissues for RNA expression analysis were obtained. DEGs in ALD samples compared with normal tissues identified through the limma R package and subjected to network analysis. RESULTS As a result, we obtained a total of 274 DEGs that mainly involved in biological processes related to the angiogenesis, stress reaction, synthesis, and metabolism of organic acids. Network analysis obtained several genes with high network degree and fold change. Some significant molecules are proposed to act as the potential therapeutic targets for ALD. CONCLUSIONS Our research identified some new progression-related genes of alcohol liver diseases, which could be regarded as the new targets for the early diagnosis and therapeutic management in ALD.
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Affiliation(s)
- Jinhui Sun
- Gastroenterology Department, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China
| | - Baolong Li
- Center for Safety Evaluation of Drugs, Heilongjiang University of Chinese Medicine, Harbin, Heilongjiang, China
| | - Antao Sun
- Department of Hematology, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Kunpeng Zhao
- Clinical College of Traditional Chinese Medicine, Gansu University of Traditional Chinese Medicine, Lanzhou, Gansu, China
| | - Yanchun Ma
- Department of Academic Theory and Research, Heilongjiang University of Chinese Medicine, Harbin, Heilongjiang, China
| | - Jiuli Zhao
- Key Laboratory of Chinese Internal Medicine (Beijing University of Chinese Medicine), Ministry of Education, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China
| | - Hui Pan
- Gastroenterology Department, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China
| | - Qingrui Song
- Gastroenterology Department, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China
| | - Yan Wang
- Gastroenterology Department, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China
| | - Chunyu Yu
- Gastroenterology Department, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China
| | - Cui Wang
- Gastroenterology Department, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China
| | - Huan Zhang
- Gastroenterology Department, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China
| | - Wenwen Zhang
- Gastroenterology Department, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China
| | - Chenfan Kong
- Gastroenterology Department, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China
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