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Terracciani F, Falcomatà A, Gallo P, Picardi A, Vespasiani-Gentilucci U. Prognostication in NAFLD: physiological bases, clinical indicators, and newer biomarkers. J Physiol Biochem 2023; 79:851-868. [PMID: 36472795 DOI: 10.1007/s13105-022-00934-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2022] [Accepted: 11/23/2022] [Indexed: 12/12/2022]
Abstract
Non-alcoholic fatty liver disease (NAFLD) is becoming an epidemic in Western countries. Notably, while the majority of NAFLD patients will not evolve until advanced liver disease, a minority of them will progress towards liver-related events. Therefore, risk stratification and prognostication are emerging as fundamental in order to optimize human and economic resources for the care of these patients.Liver fibrosis has been clearly recognized as the main predictor of poor hepatic and extrahepatic outcomes. However, a prediction based only on the stage of fibrosis is near-sighted and static, as it does not capture the propensity of disease to further progress, the speed of progression and their changes over time. These determinants, which result from the interaction between genetic predisposition and acquired risk factors (obesity, diabetes, etc.), express themselves in disease activity, and can be synthesized by biomarkers of hepatic inflammation and fibrogenesis.In this review, we present the currently available clinical tools for risk stratification and prognostication in NAFLD specifically with respect to the risk of progression towards hard hepatic outcomes, i.e., liver-related events and death. We also discuss about the genetic and acquired drivers of disease progression, together with the physiopathological bases of their come into action. Finally, we introduce the most promising biomarkers in the direction of repeatedly assessing disease activity over time, mainly in response to future therapeutic interventions.
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Affiliation(s)
- Francesca Terracciani
- Hepatology and Clinical Medicine Unit, University Campus Bio-Medico of Rome, Rome, Italy
| | - Andrea Falcomatà
- Hepatology and Clinical Medicine Unit, University Campus Bio-Medico of Rome, Rome, Italy
| | - Paolo Gallo
- Hepatology and Clinical Medicine Unit, University Campus Bio-Medico of Rome, Rome, Italy.
| | - Antonio Picardi
- Hepatology and Clinical Medicine Unit, University Campus Bio-Medico of Rome, Rome, Italy
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Xu Q, Feng M, Ren Y, Liu X, Gao H, Li Z, Su X, Wang Q, Wang Y. From NAFLD to HCC: Advances in noninvasive diagnosis. Biomed Pharmacother 2023; 165:115028. [PMID: 37331252 DOI: 10.1016/j.biopha.2023.115028] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2023] [Revised: 06/10/2023] [Accepted: 06/14/2023] [Indexed: 06/20/2023] Open
Abstract
Non-alcoholic fatty liver disease (NAFLD) has gradually become one of the major liver health problems in the world. The dynamic course of the disease goes through steatosis, inflammation, fibrosis, and carcinoma. Before progressing to carcinoma, timely and effective intervention will make the condition better, which highlights the importance of early diagnosis. With the further study of the biological mechanism in the pathogenesis and progression of NAFLD, some potential biomarkers have been discovered, and the possibility of their clinical application is gradually being discussed. At the same time, the progress of imaging technology and the emergence of new materials and methods also provide more possibilities for the diagnosis of NAFLD. This article reviews the diagnostic markers and advanced diagnostic methods of NAFLD in recent years.
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Affiliation(s)
- Qinchen Xu
- Department of Clinical Laboratory, The Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong 250033, China
| | - Maoxiao Feng
- Department of Clinical Laboratory, Shandong Provincial Hospital Affiliated to Shandong First Medical University, 250021, Jinan, Shandong Province, China
| | - Yidan Ren
- Department of Clinical Laboratory, The Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong 250033, China
| | - Xiaoyan Liu
- Department of Clinical Laboratory, Shandong Provincial Hospital Affiliated to Shandong First Medical University, 250021, Jinan, Shandong Province, China
| | - Huiru Gao
- Department of Clinical Laboratory, The Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong 250033, China
| | - Zigan Li
- Department of Clinical Laboratory, The Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong 250033, China
| | - Xin Su
- Department of Clinical Laboratory, The Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong 250033, China
| | - Qin Wang
- Department of Anesthesiology, Qilu Hospital, Shandong University, 107 Wenhua Xi Road, Jinan 250012, China.
| | - Yunshan Wang
- Department of Clinical Laboratory, Shandong Provincial Hospital Affiliated to Shandong First Medical University, 250021, Jinan, Shandong Province, China.
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Komiyama Y, Motosugi U, Maekawa S, Osawa L, Nakakuki N, Takada H, Muraoka M, Suzuki Y, Sato M, Takano S, Fukasawa M, Yamaguchi T, Onishi H, Yin M, Enomoto N. Early diagnosis of hepatic inflammation in Japanese nonalcoholic fatty liver disease patients using 3D MR elastography. Hepatol Res 2023; 53:208-218. [PMID: 36372908 PMCID: PMC10600503 DOI: 10.1111/hepr.13858] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/12/2022] [Revised: 11/07/2022] [Accepted: 11/10/2022] [Indexed: 11/15/2022]
Abstract
BACKGROUND The damping ratio (DR) and the loss modulus (G″) obtained by 3D MR elastography complex modulus analysis has been reported recently to reflect early intrahepatic inflammation, and is expected to be a noninvasive biomarker of inflammation in nonalcoholic fatty liver disease (NAFLD). However, the role of the DR and the G″ in Japanese NAFLD patients remains unclear. METHODS We enrolled 39 Japanese patients with NAFLD who underwent liver biopsy and 3D MR elastography within 1 month and analyzed the association between DR, G″, and histological activity. RESULTS Regarding DR, no evident correlation was observed between the DR and histological activity (p = 0.14) when patients with all fibrosis stages were included. However, when patients were restricted up to stage F2 fibrosis, the association of the DR and inflammation became significant, the DR increasing with the degree of activity (p = 0.02). Among the constituents of fibrosis activity, ballooning correlated with the DR (p < 0.01) while lobular inflammation did not. Regarding G″, it was correlated with histological activity (p < 0.01), ballooning (p < 0.01), and lobular inflammation (p < 0.01) in patients with all fibrosis stages and in patients up to F2 fibrosis (p = 0.03 for activity and p = 0.04 for ballooning). The best cutoff value of DR for hepatitis activity in patients within the F2 stage was 0.094 (area under the receiver operating characteristic curve 0.775, 95% CI: 0.529-1.000) and G″ was 0.402 (area under the receiver operating characteristic curve 0.825, 95% CI: 0.628-1.000). CONCLUSIONS The DR and G″ reflected the histological activity in Japanese patients with NAFLD during the early stage, indicating these values for noninvasive diagnosis of inflammation in Japanese patients with NAFLD.
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Affiliation(s)
- Yasuyuki Komiyama
- First Department of Internal Medicine, Faculty of Medicine, University of Yamanashi, Chuo, Yamanashi, Japan
| | - Utaroh Motosugi
- Department or Radiology, Faculty of Medicine, University of Yamanashi, Chuo, Yamanashi, Japan
| | - Shinya Maekawa
- First Department of Internal Medicine, Faculty of Medicine, University of Yamanashi, Chuo, Yamanashi, Japan
| | - Leona Osawa
- First Department of Internal Medicine, Faculty of Medicine, University of Yamanashi, Chuo, Yamanashi, Japan
| | - Natsuko Nakakuki
- First Department of Internal Medicine, Faculty of Medicine, University of Yamanashi, Chuo, Yamanashi, Japan
| | - Hitomi Takada
- First Department of Internal Medicine, Faculty of Medicine, University of Yamanashi, Chuo, Yamanashi, Japan
| | - Masaru Muraoka
- First Department of Internal Medicine, Faculty of Medicine, University of Yamanashi, Chuo, Yamanashi, Japan
| | - Yuichiro Suzuki
- First Department of Internal Medicine, Faculty of Medicine, University of Yamanashi, Chuo, Yamanashi, Japan
| | - Mitsuaki Sato
- First Department of Internal Medicine, Faculty of Medicine, University of Yamanashi, Chuo, Yamanashi, Japan
| | - Shinichi Takano
- First Department of Internal Medicine, Faculty of Medicine, University of Yamanashi, Chuo, Yamanashi, Japan
| | - Mitsuharu Fukasawa
- First Department of Internal Medicine, Faculty of Medicine, University of Yamanashi, Chuo, Yamanashi, Japan
| | - Tatsuya Yamaguchi
- First Department of Internal Medicine, Faculty of Medicine, University of Yamanashi, Chuo, Yamanashi, Japan
| | - Hiroshi Onishi
- Department or Radiology, Faculty of Medicine, University of Yamanashi, Chuo, Yamanashi, Japan
| | - Meng Yin
- Department of Radiology, Mayo Clinic, Rochester, Minnesota, USA
| | - Nobuyuki Enomoto
- First Department of Internal Medicine, Faculty of Medicine, University of Yamanashi, Chuo, Yamanashi, Japan
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Kamada Y, Nakamura T, Isobe S, Hosono K, Suama Y, Ohtakaki Y, Nauchi A, Yasuda N, Mitsuta S, Miura K, Yamamoto T, Hosono T, Yoshida A, Kawanishi I, Fukushima H, Kinoshita M, Umeda A, Kinoshita Y, Fukami K, Miyawaki T, Fujii H, Yoshida Y, Kawanaka M, Hyogo H, Morishita A, Hayashi H, Tobita H, Tomita K, Ikegami T, Takahashi H, Yoneda M, Jun DW, Sumida Y, Okanoue T, Nakajima A. SWOT analysis of noninvasive tests for diagnosing NAFLD with severe fibrosis: an expert review by the JANIT Forum. J Gastroenterol 2023; 58:79-97. [PMID: 36469127 PMCID: PMC9735102 DOI: 10.1007/s00535-022-01932-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/03/2022] [Accepted: 10/12/2022] [Indexed: 12/11/2022]
Abstract
Nonalcoholic fatty liver disease (NAFLD) is the most common chronic liver disease. Nonalcoholic steatohepatitis (NASH) is an advanced form of NAFLD can progress to liver cirrhosis and hepatocellular carcinoma (HCC). Recently, the prognosis of NAFLD/NASH has been reported to be dependent on liver fibrosis degree. Liver biopsy remains the gold standard, but it has several issues that must be addressed, including its invasiveness, cost, and inter-observer diagnosis variability. To solve these issues, a variety of noninvasive tests (NITs) have been in development for the assessment of NAFLD progression, including blood biomarkers and imaging methods, although the use of NITs varies around the world. The aim of the Japan NASH NIT (JANIT) Forum organized in 2020 is to advance the development of various NITs to assess disease severity and/or response to treatment in NAFLD patients from a scientific perspective through multi-stakeholder dialogue with open innovation, including clinicians with expertise in NAFLD/NASH, companies that develop medical devices and biomarkers, and professionals in the pharmaceutical industry. In addition to conventional NITs, artificial intelligence will soon be deployed in many areas of the NAFLD landscape. To discuss the characteristics of each NIT, we conducted a SWOT (strengths, weaknesses, opportunities, and threats) analysis in this study with the 36 JANIT Forum members (16 physicians and 20 company representatives). Based on this SWOT analysis, the JANIT Forum identified currently available NITs able to accurately select NAFLD patients at high risk of NASH for HCC surveillance/therapeutic intervention and evaluate the effectiveness of therapeutic interventions.
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Affiliation(s)
- Yoshihiro Kamada
- Department of Advanced Metabolic Hepatology, Osaka University Graduate School of Medicine, 1-7, Yamadaoka, Suita, Osaka, 565-0871 Japan
| | - Takahiro Nakamura
- Medicine Division, Nippon Boehringer Ingelheim Co., Ltd., 2-1-1, Osaki, Shinagawa-Ku, Tokyo, 141-6017 Japan
| | - Satoko Isobe
- FibroScan Division, Integral Corporation, 2-25-2, Kamiosaki, Shinagawa-Ku, Tokyo, 141-0021 Japan
| | - Kumiko Hosono
- Immunology, Hepatology & Dermatology Medical Franchise Dept., Medical Division, Novartis Pharma K.K., 1-23-1, Toranomon, Minato-Ku, Tokyo, 105-6333 Japan
| | - Yukiko Suama
- Medical Information Services, Institute of Immunology Co., Ltd., 1-1-10, Koraku, Bunkyo-Ku, Tokyo, 112-0004 Japan
| | - Yukie Ohtakaki
- Product Development 1St Group, Product Development Dept., Fujirebio Inc., 2-1-1, Nishishinjuku, Shinjuku-Ku, Tokyo, 163-0410 Japan
| | - Arihito Nauchi
- Academic Department, GE Healthcare Japan, 4-7-127, Asahigaoka, Hino, Tokyo, 191-8503 Japan
| | - Naoto Yasuda
- Ultrasound Business Area, Siemens Healthcare KK, 1-11-1, Osaki, Shinagawa-Ku, Tokyo, 141-8644 Japan
| | - Soh Mitsuta
- FibroScan Division, Integral Corporation, 2-25-2, Kamiosaki, Shinagawa-Ku, Tokyo, 141-0021 Japan
| | - Kouichi Miura
- Department of Medicine, Division of Gastroenterology, Jichi Medical University, 3311-1, Yakushiji, Shimotsuke, Tochigi, 329-0498 Japan
| | - Takuma Yamamoto
- Cardiovascular and Diabetes, Product Marketing Department, Kowa Company, Ltd., 3-4-10, Nihonbashi Honcho, Chuo-Ku, Tokyo, 103-0023 Japan
| | - Tatsunori Hosono
- Clinical Development & Operations Japan, Nippon Boehringer Ingelheim Co., Ltd., 2-1-1, Osaki, Shinagawa-Ku, Tokyo, 141-6017 Japan
| | - Akihiro Yoshida
- Medical Affairs Department, Kowa Company, Ltd., 3-4-14, Nihonbashi Honcho, Chuo-Ku, Tokyo, 103-8433 Japan
| | - Ippei Kawanishi
- R&D Planning Department, EA Pharma Co., Ltd., 2-1-1, Irifune, Chuo-Ku, Tokyo, 104-0042 Japan
| | - Hideaki Fukushima
- Diagnostics Business Area, Siemens Healthcare Diagnostics KK, 1-11-1, Osaki, Shinagawa-Ku, Tokyo, 141-8673 Japan
| | - Masao Kinoshita
- Marketing Dep. H.U. Frontier, Inc., Shinjuku Mitsui Building, 2-1-1, Nishishinjuku, Shinjuku-Ku, Tokyo, 163-0408 Japan
| | - Atsushi Umeda
- Clinical Development Dept, EA Pharma Co., Ltd., 2-1-1, Irifune, Chuo-Ku, Tokyo, 104-0042 Japan
| | - Yuichi Kinoshita
- Global Drug Development Division, Novartis Pharma KK, 1-23-1, Toranomon, Minato-Ku, Tokyo, 105-6333 Japan
| | - Kana Fukami
- 2Nd Product Planning Dept, 2Nd Product Planning Division, Fujirebio Inc, 2-1-1, Nishishinjuku, Shinjuku-Ku, Tokyo, 163-0410 Japan
| | - Toshio Miyawaki
- Medical Information Services, Institute of Immunology Co., Ltd., 1-1-10, Koraku, Bunkyo-Ku, Tokyo, 112-0004 Japan
| | - Hideki Fujii
- Departments of Hepatology, Graduate School of Medicine, Osaka Metropolitan University, 1-4-3, Asahi-Machi, Abeno-Ku, Osaka, Osaka 545-8585 Japan
| | - Yuichi Yoshida
- Department of Gastroenterology and Hepatology, Suita Municipal Hospital, 5-7, Kishibe Shinmachi, Suita, Osaka 564-8567 Japan
| | - Miwa Kawanaka
- Department of General Internal Medicine2, Kawasaki Medical School, Kawasaki Medical Center, 2-6-1, Nakasange, Kita-Ku, Okayama, Okayama 700-8505 Japan
| | - Hideyuki Hyogo
- Department of Gastroenterology, JA Hiroshima Kouseiren General Hospital, 1-3-3, Jigozen, Hatsukaichi, Hiroshima 738-8503 Japan ,Hyogo Life Care Clinic Hiroshima, 6-34-1, Enkobashi-Cho, Minami-Ku, Hiroshima, Hiroshima 732-0823 Japan
| | - Asahiro Morishita
- Department of Gastroenterology and Neurology, Faculty of Medicine, Kagawa University, 1750-1, Oaza Ikenobe, Miki-Cho, Kita-Gun, Kagawa 761-0793 Japan
| | - Hideki Hayashi
- Department of Gastroenterology and Hepatology, Gifu Municipal Hospital, 7-1, Kashima-Cho, Gifu, Gifu 500-8513 Japan
| | - Hiroshi Tobita
- Division of Hepatology, Shimane University Hospital, 89-1, Enya-Cho, Izumo, Shimane 693-8501 Japan
| | - Kengo Tomita
- Division of Gastroenterology and Hepatology, Department of Internal Medicine, National Defense Medical College, 3-2, Namiki, Tokorozawa, Saitama 359-8513 Japan
| | - Tadashi Ikegami
- Division of Gastroenterology and Hepatology, Tokyo Medical University Ibaraki Medical Center, 3-20-1, Chuo, Ami-Machi, Inashiki-Gun, Ibaraki, 300-0395 Japan
| | - Hirokazu Takahashi
- Liver Center, Faculty of Medicine, Saga University Hospital, Saga University, 5-1-1, Nabeshima, Saga, Saga 849-8501 Japan
| | - Masato Yoneda
- Department of Gastroenterology and Hepatology, Yokohama City University School of Medicine Graduate School of Medicine, 3-9, Fukuura, Kanazawa-Ku, Yokohama, Kanagawa 236-0004 Japan
| | - Dae Won Jun
- Department of Internal Medicine, Hanyang University College of Medicine, Seoul, 04763 Korea
| | - Yoshio Sumida
- Division of Hepatology and Pancreatology, Department of Internal Medicine, Aichi Medical University, 21 Yazako Karimata, Nagakute, Aichi, 480-1195, Japan.
| | - Takeshi Okanoue
- Department of Gastroenterology & Hepatology, Saiseikai Suita Hospital, Osaka, 1-2, Kawazono-Cho, Suita, Osaka 564-0013 Japan
| | - Atsushi Nakajima
- Department of Gastroenterology and Hepatology, Yokohama City University School of Medicine Graduate School of Medicine, 3-9, Fukuura, Kanazawa-Ku, Yokohama, Kanagawa 236-0004 Japan
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Association between Coronary Artery Plaque Progression and Liver Fibrosis Biomarkers in Population with Low Calcium Scores. Nutrients 2022; 14:nu14153163. [PMID: 35956339 PMCID: PMC9370134 DOI: 10.3390/nu14153163] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2022] [Revised: 07/28/2022] [Accepted: 07/29/2022] [Indexed: 11/17/2022] Open
Abstract
Background: The severity of nonalcoholic fatty liver disease (NAFLD) has been found to be associated with atherosclerosis burden. However, whether liver fibrosis scores can be used to predict atherosclerosis progression, especially for patients with low calcium scores, remains undetermined. Methods: A total of 165 subjects who underwent repeated coronary computed tomography angiography (CCTA) and had low calcium scores (<100) were enrolled. The segment stenosis score (SSS) from the CCTA was measured, and the association between SSS progression and biochemical parameters was analyzed in addition to liver fibrosis scores, including nonalcoholic fatty liver disease fibrosis score (NFS), fibrosis-4 index (FIB-4), aspartate aminotransferase (AST) to platelet ratio index (APRI), and Forns score. Results: When compared with those without plaque at baseline (SSS = 0), subjects with plaque had higher blood pressure, higher coronary artery calcium (CAC) scores, and higher liver fibrosis scores, including Forns score, Fib-4, and NFS. During the medium follow-up interval of 24.7 months, 60 (39.4%) patients displayed SSS progression, while the remaining 105 (63.6%) patients showed no CAD progression. In a multivariate analysis, being male having a high diastolic blood pressure (DBP), and having a high NFS liver fibrosis score were independently associated with the odds ratio for SSS progression. Conclusions: Higher baseline blood pressure and liver fibrosis markers are associated with the presence of coronary artery disease (CAD) plaques in subjects in early CAD stages. For disease progression, the male gender, DBP, and NFS appear to be independently associated with coronary atherosclerosis plaque progression in subjects with low calcium scores.
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Fujimori N, Kimura T, Tanaka N, Yamazaki T, Okumura T, Kobayashi H, Wakabayashi SI, Yamashita Y, Sugiura A, Pham J, Pydi SP, Sano K, Joshita S, Umemura T. 2-Step PLT16-AST44 method: Simplified liver fibrosis detection system in patients with non-alcoholic fatty liver disease. Hepatol Res 2022; 52:352-363. [PMID: 35040549 DOI: 10.1111/hepr.13745] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/27/2021] [Revised: 12/28/2021] [Accepted: 01/12/2022] [Indexed: 12/13/2022]
Abstract
AIM Accurate detection of the hepatic fibrosis stage is essential to estimate the outcome of patients with non-alcoholic fatty liver disease (NAFLD). Many formulas, biomarkers, and imaging tests are being developed to predict advanced liver fibrosis without performing a liver biopsy. However, these tests do not have high efficiency in detecting early-stage hepatic fibrosis. Therefore, we aimed to detect the presence of hepatic fibrosis (≥F1) merely by using only standard clinical markers. METHODS A total of 436 patients with NAFLD who underwent liver biopsy were retrospectively enrolled as the discovery cohort (316 patients) and the validation cohort (120 patients). Liver biopsy and laboratory data were matched to extract simple parameters for identifying ≥F1. RESULTS We developed a novel simplified ≥F1 detecting system, designated as 2-Step PLT16-AST44 method, where (1) PLT of 16 × 104 /μl or less, or (2) PLT greater than 16 × 104 /μl and AST greater than 44 U/L is determined as having ≥F1 fibrosis. The 2-Step PLT16-AST44 method had a sensitivity of 68%, a specificity of 90%, a positive predictive value (PPV) of 97%, a negative predictive value (NPV) of 40%, and an accuracy of 72% to detect ≥F1 fibrosis in the discovery cohort. Validation studies further supported these results. Despite its simplicity, the 2-Step PLT16-AST44 method's power to detect ≥F1 fibrosis in total NAFLD patients was comparable to hyaluronic acid, type 4 collagen 7S, FIB-4, and APRI. CONCLUSIONS We propose the 2-Step PLT16-AST44 method as a simple and beneficial early-stage hepatic fibrosis detection system.
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Affiliation(s)
- Naoyuki Fujimori
- Department of Medicine, Division of Gastroenterology and Hepatology, Shinshu University School of Medicine, Matsumoto, Japan.,Department of Gastroenterology, Shinshu Ueda Medical Center, Ueda, Japan
| | - Takefumi Kimura
- Department of Medicine, Division of Gastroenterology and Hepatology, Shinshu University School of Medicine, Matsumoto, Japan.,Molecular Signaling Section, Laboratory of Bioorganic Chemistry, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, Maryland, USA
| | - Naoki Tanaka
- International Relations Office, Shinshu University School of Medicine, Matsumoto, Japan.,Department of Metabolic Regulation, Shinshu University School of Medicine, Matsumoto, Japan.,Research Center for Social Systems, Shinshu University, Matsumoto, Japan
| | - Tomoo Yamazaki
- Department of Medicine, Division of Gastroenterology and Hepatology, Shinshu University School of Medicine, Matsumoto, Japan
| | - Taiki Okumura
- Department of Medicine, Division of Gastroenterology and Hepatology, Shinshu University School of Medicine, Matsumoto, Japan
| | - Hiroyuki Kobayashi
- Department of Medicine, Division of Gastroenterology and Hepatology, Shinshu University School of Medicine, Matsumoto, Japan
| | - Shun-Ichi Wakabayashi
- Department of Medicine, Division of Gastroenterology and Hepatology, Shinshu University School of Medicine, Matsumoto, Japan
| | - Yuki Yamashita
- Department of Medicine, Division of Gastroenterology and Hepatology, Shinshu University School of Medicine, Matsumoto, Japan
| | - Ayumi Sugiura
- Department of Medicine, Division of Gastroenterology and Hepatology, Shinshu University School of Medicine, Matsumoto, Japan
| | - Jonathan Pham
- Molecular Signaling Section, Laboratory of Bioorganic Chemistry, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, Maryland, USA
| | - Sai P Pydi
- Department of Biological Sciences and Bioengineering, Indian Institute of Technology, Kanpur, India
| | - Kenji Sano
- Department of Pathology, Iida Municipal Hospital, Iida, Japan
| | - Satoru Joshita
- Department of Medicine, Division of Gastroenterology and Hepatology, Shinshu University School of Medicine, Matsumoto, Japan
| | - Takeji Umemura
- Department of Medicine, Division of Gastroenterology and Hepatology, Shinshu University School of Medicine, Matsumoto, Japan.,Department of Life Innovation, Institute for Biomedical Sciences, Shinshu University, Matsumoto, Japan.,Consultation Center for Liver Diseases, Shinshu University Hospital, Matsumoto, Japan
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7
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Novel Usefulness of Krebs von den Lungen 6 (KL-6) with Hemoglobin and Lactate Dehydrogenase for Assessing Bone Marrow Fibrosis. Diagnostics (Basel) 2022; 12:diagnostics12030628. [PMID: 35328181 PMCID: PMC8946956 DOI: 10.3390/diagnostics12030628] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2021] [Revised: 02/24/2022] [Accepted: 03/01/2022] [Indexed: 11/26/2022] Open
Abstract
Bone marrow fibrosis (BMF) is manually assessed by reticulin and trichrome stain of bone marrow (BM) biopsy and graded on a semi-quantitative scale. Krebs von den Lungen 6 (KL-6) and Mac-2 binding protein glycosylation isomer (M2BPGi) are known to be associated with lung and liver fibrosis, respectively. We explored the usefulness of KL-6 and M2BPGi to assess BMF. A total of 250 patients who underwent BM biopsy with hematologic or non-hematologic diseases were included, and 42 patients with lung and liver diseases were excluded. The patients’ data, including age, sex, diagnosis, white blood cell, hemoglobin (Hb), platelet, and lactate dehydrogenase (LDH) were collected. Measured KL-6 and M2BPGi levels were compared with reticulin grade (RG) (grade 0–3). KL-6 levels were significantly elevated with an increase in RG, but M2BPGi did not show a significant difference. Hb, LDH, or KL-6 were independent predictors for BMF (odds ratio: 1.96, 2.26, 2.91, respectively), but showed poor predictive ability (area under the curve [AUC] 0.62, 0.61, 0.60, respectively). The combination of Hb, LDH, and KL-6 showed a significantly improved predictive ability for BMF (AUC 0.73; integrated discrimination improvement 0.057; category-free net reclassification improvement 0.625). This is the first study to evaluate the usefulness of KL-6 for assessing BMF. The combination of Hb, LDH, and KL-6 would be an objective and relevant biomarker approach and be applied to risk stratification for BMF.
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Hur M, Park M, Moon HW, Choe WH, Lee CH. Comparison of Non-Invasive Clinical Algorithms for Liver Fibrosis in Patients With Chronic Hepatitis B to Reduce the Need for Liver Biopsy: Application of Enhanced Liver Fibrosis and Mac-2 Binding Protein Glycosylation Isomer. Ann Lab Med 2022; 42:249-257. [PMID: 34635616 PMCID: PMC8548241 DOI: 10.3343/alm.2022.42.2.249] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2021] [Revised: 08/20/2021] [Accepted: 09/10/2021] [Indexed: 11/19/2022] Open
Abstract
Background Non-invasive clinical algorithms for the detection of liver fibrosis (LF) can reduce the need for liver biopsy (LB). We explored the implementation of two serum biomarkers, enhanced liver fibrosis (ELF) and Mac-2 binding protein glycosylation isomer (M2BPGi), in clinical algorithms for LF in chronic hepatitis B (CHB) patients. Methods Two clinical algorithms were applied to 152 CHB patients: (1) transient elastography (TE) followed by biomarkers (TE/ELF and TE/M2GPGi); (2) biomarker test followed by TE (ELF/TE and M2BPGi/TE). Using the cut-off value or index for the detection of advanced LF (TE≥F3; 9.8 in ELF and 3.0 in M2BPGi), LB was expected to be performed in cases with discordant TE and biomarker results. Results In both algorithms, the expected number of LBs was lower when using M2BPGi than when using ELF (TE/ELF or ELF/TE, 13.2% [N=20]; TE/M2BPGi or M2BPGi/TE, 9.9% [N=15]), although there was no statistical difference (P=0.398). In the TE low-risk group (TE≤F2), the discordance rate was significantly lower in the TE/M2BPGi approach than in the TE/ELF approach (1.5% [2/136] vs. 11.0% [15/136], P=0.002). In the biomarker low-risk group, there was no significant difference between the ELF/TE and M2BPGi/TE approaches (3.9% [5/126] vs. 8.8% [13/147], P=0.118). Conclusions Both ELF and M2BPGi can be implemented in non-invasive clinical algorithms for assessing LF in CHB patients. Given the lowest possibility of losing advanced LF cases in the low-risk group when using the TE/M2BPGi approach, this combination seems useful in clinical practice.
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Affiliation(s)
- Mina Hur
- Department of Laboratory Medicine, Konkuk University School of Medicine, Seoul, Korea
| | - Mikyoung Park
- Department of Laboratory Medicine, Yeungnam University College of Medicine, Daegu, Korea
| | - Hee-Won Moon
- Department of Laboratory Medicine, Konkuk University School of Medicine, Seoul, Korea
| | - Won Hyeok Choe
- Department of Internal Medicine, Konkuk University School of Medicine, Seoul, Korea
| | - Chae Hoon Lee
- Department of Laboratory Medicine, Yeungnam University College of Medicine, Daegu, Korea
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9
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Kwon Y, Kim ES, Choe YH, Kim MJ. Stratification by Non-invasive Biomarkers of Non-alcoholic Fatty Liver Disease in Children. Front Pediatr 2022; 10:846273. [PMID: 35444966 PMCID: PMC9013938 DOI: 10.3389/fped.2022.846273] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/31/2021] [Accepted: 02/21/2022] [Indexed: 01/08/2023] Open
Abstract
BACKGROUND The spectrum of non-alcoholic fatty liver disease (NAFLD) ranges from isolated hepatic steatosis to non-alcoholic steatohepatitis to fibrosis. We aimed to introduce useful biomarkers released during liver inflammation and fibrogenesis that are easy to use in outpatient clinic and adjust to children to evaluate each NAFLD stage without biopsy. METHODS This prospective study included 60 patients aged under 19 years whose alanine aminotransferase (ALT) levels were elevated from March 2021. All patients were proven to have NAFLD by ultrasonography and laboratory work-up to exclude other causes of hepatitis. Fibroscan and additional laboratory tests for biomarkers [procollagen type1 amino-terminal propeptide (P1NP), osteocalcin, interleukin-6 (IL-6), and Mac-2 binding protein glycosylated isomer (M2BPGi)] were performed. Fibroscan-AST (FAST) score was used for the comparison of steatohepatitis and liver stiffness measurement (kPa) was used for the comparison of advanced fibrosis. RESULTS The biomarker that showed a significant difference between the FAST-positive and negative groups was the P1NP/osteocalcin ratio with a p-value of 0.008. The area under receiver operating characteristic (AUROC) of P1NP/osteocalcin ratio*ALT values (values obtained through multivariate analysis) was 0.939 with the cut-off value of 305.38. The biomarkers that showed a significant difference between the LSM-positive and negative groups were IL-6 and M2BPGi with a p-values of 0.005 and <0.001. AUROC of IL-6 *AST values (values obtained through multivariate analysis) was 0.821 with the cut-off value of 228.15. M2BPGi showed a significant linear relationship with LSM in Pearson correlation analysis (Pearson correlation coefficient = 0.382; p = 0.003). The diagnostic capability of M2BPGi to evaluate advanced fibrosis showed an acceptable result (AUROC = 0.742; p = 0.022). CONCLUSIONS Non-invasive biomarkers can be used to predict each stage of NAFLD in children. The measurements of P1NP, IL-6 or M2BPGi along with the basic chemistry tests would help determine the stage of NAFLD they correspond to at the time of initial diagnosis and predict responsiveness after the treatment.
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Affiliation(s)
- Yiyoung Kwon
- Department of Pediatrics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
| | - Eun Sil Kim
- Department of Pediatrics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
| | - Yon Ho Choe
- Department of Pediatrics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
| | - Mi Jin Kim
- Department of Pediatrics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
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10
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Jang TY, Huang CF, Yeh ML, Huang CI, Dai CY, Tsai PC, Hsu PY, Wei YJ, Hou NJ, Liang PC, Lin YH, Wang CW, Hsieh MY, Lin ZY, Huang JF, Yu ML, Chuang WL. Serum Wisteria floribunda agglutinin-positive Mac-2-binding protein expression predicts disease severity in nonalcoholic steatohepatitis patients. Kaohsiung J Med Sci 2021; 38:261-267. [PMID: 34786828 DOI: 10.1002/kjm2.12474] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2021] [Revised: 10/05/2021] [Accepted: 10/15/2021] [Indexed: 01/18/2023] Open
Abstract
The role of Wisteria floribunda agglutinin-positive Mac-2 binding protein (WFA+ -M2BP) in the prediction of disease severity in nonalcoholic fatty liver disease (NAFLD) remains elusive. This study evaluated the performance of WFA+ -M2BP in predicting fibrosis in patients with NAFLD. A total of 80 patients with biopsy-proven nonalcoholic steatohepatitis (NASH) were enrolled. Serum WFA+ -M2BP levels were measured using standard methods. The fibrosis-4 (FIB-4) index was also measured. The mean values of WFA+ -M2BP were 1.0, 1.0, 0.8, and 2.2 in Metavir fibrosis stage F0, F1, F2, and F3-4, respectively (linear trend p = 0.005). The optimal cut-off value of WFA+ -M2BP in predicting advanced fibrosis (F3-4) was 1.37 cut-off index (COI), yielding the sensitivity, specificity, positive predictive value (PPV), negative predictive value, and accuracy of 75.0, 79.4, 39.1, 94.7, and 78.7%, respectively (p < 0.001). Combining WFA+ -M2BP with FIB-4 significantly increased the diagnostic performance for advanced fibrosis, yielding specificity, PPV, and accuracy of 100, 100, and 93%, respectively. The significant factors predicting advanced liver fibrosis in the multivariate regression analysis were WFA+ -M2BP ≥ 1.37 COI (OR/confidence interval [CI]: 9.49/1.63-55.21, p = 0.01) and FIB-4 ≥ 2.80 (OR/CI: 38.18/4.89-297.93, p = 0.001). Monitoring WFA+ -M2BP is suitable for noninvasive assessment of liver fibrosis in NASH patients, particularly in combination with FIB-4.
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Affiliation(s)
- Tyng-Yuan Jang
- Hepatobiliary Division and Hepatitis Center, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan.,Department of Internal Medicine, Pingtung Hospital, Ministry of Health and Welfare, Pingtung, Taiwan
| | - Chung-Feng Huang
- Hepatobiliary Division and Hepatitis Center, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan.,Faculty of Internal Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Ming-Lun Yeh
- Hepatobiliary Division and Hepatitis Center, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan.,Faculty of Internal Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Ching-I Huang
- Hepatobiliary Division and Hepatitis Center, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan.,Faculty of Internal Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Chia-Yen Dai
- Hepatobiliary Division and Hepatitis Center, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan.,Faculty of Internal Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Pei-Chien Tsai
- Hepatobiliary Division and Hepatitis Center, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan
| | - Po-Yau Hsu
- Hepatobiliary Division and Hepatitis Center, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan
| | - Yi-Ju Wei
- Department of Internal Medicine, Kaohsiung Municipal Ta-Tung Hospital, Kaohsiung, Taiwan
| | - Nai-Jen Hou
- Department of Internal Medicine, Kaohsiung Municipal Ta-Tung Hospital, Kaohsiung, Taiwan
| | - Po-Cheng Liang
- Hepatobiliary Division and Hepatitis Center, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan
| | - Yi-Hung Lin
- Hepatobiliary Division and Hepatitis Center, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan
| | - Chih-Wen Wang
- Hepatobiliary Division and Hepatitis Center, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan
| | - Ming-Yen Hsieh
- Department of Internal Medicine, Kaohsiung Municipal Ta-Tung Hospital, Kaohsiung, Taiwan
| | - Zu-Yau Lin
- Hepatobiliary Division and Hepatitis Center, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan.,Faculty of Internal Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Jee-Fu Huang
- Hepatobiliary Division and Hepatitis Center, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan.,Faculty of Internal Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan.,Center for Liquid Biopsy and Cohort Research, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Ming-Lung Yu
- Hepatobiliary Division and Hepatitis Center, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan.,Faculty of Internal Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan.,Center for Liquid Biopsy and Cohort Research, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Wan-Long Chuang
- Hepatobiliary Division and Hepatitis Center, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan.,Faculty of Internal Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan
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11
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Diagnostic Yield of Endoscopic Ultrasound-Guided Liver Biopsy in Comparison to Percutaneous Liver Biopsy: A Two-Center Experience. Cancers (Basel) 2021; 13:cancers13123062. [PMID: 34205389 PMCID: PMC8235406 DOI: 10.3390/cancers13123062] [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: 05/03/2021] [Revised: 06/15/2021] [Accepted: 06/16/2021] [Indexed: 12/12/2022] Open
Abstract
Simple Summary Traditionally, liver biopsy has been performed by percutaneous radiology-guided methods. Advances in endoscopic ultrasound have demonstrated the efficacy of endoscopic based techniques for liver biopsy. Studies comparing both methods are scarce and have conflicting results. Our study compares percutaneous and endoscopic ultrasound methods for liver biopsy. Our analysis shows no evidence to support the wide use of endoscopic ultrasound. Percutaneous liver biopsy remains the sampling method of choice in this field. Abstract There is scarce and conflicting evidence on the comparison between endoscopic ultrasound (EUS) and percutaneous (PC)-guided liver biopsy (LB). The aim of this study was to compare the two approaches in a series of patients with parenchymal and focal liver lesions. Fifty-four patients undergoing EUS-LB in two high-volume centers between 2017 and 2021 were compared to 62 patients who underwent PC-LB. The primary outcome was diagnostic adequacy rate. The secondary outcomes were diagnostic accuracy, total sample length (TSL), number of complete portal tracts (CPTs), procedural duration, and adverse events. Variables were compared using the Chi-square and Mann–Whitney test. Median age was 56 years (interquartile range 48–69) in the EUS-LB group and 54 years (45–67) in the PC-LB group with most patients being male. Indication for LB was due to parenchymal disease in 50% of patients, whereas the other patients underwent LB due to focal liver lesions. Diagnostic adequacy was 100% in PC-LB and 94.4% in the EUS-LB group (p = 0.74), whereas diagnostic accuracy was 88.8% in the EUS-LB group and 100% in the PC-LB group (p = 0.82). Median TSL was significantly greater in the PC-LB group (27.4 mm, IQR 21–29) when compared to the EUS-LB group (18.5 mm, 10.1–22.4; p = 0.02). The number of complete portal tracts was 21 (11–24) in the PC-LB group and 18.5 (10–23.2) in EUS-LB group (p = 0.09). EUS-LB was a significantly longer procedure (7 min, 5–11 versus 1 min, 1–3 of PC-LB; p < 0.001) and no evidence of adverse events was observed in any of the study groups. These results were confirmed in the subgroup analysis performed according to an indication for LB (parenchymal disease versus focal lesion). Although PC-LB yielded specimens with greater TSL, diagnostic adequacy and accuracy were similar between the two procedures.
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12
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Heyens LJM, Busschots D, Koek GH, Robaeys G, Francque S. Liver Fibrosis in Non-alcoholic Fatty Liver Disease: From Liver Biopsy to Non-invasive Biomarkers in Diagnosis and Treatment. Front Med (Lausanne) 2021; 8:615978. [PMID: 33937277 PMCID: PMC8079659 DOI: 10.3389/fmed.2021.615978] [Citation(s) in RCA: 70] [Impact Index Per Article: 23.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2020] [Accepted: 03/22/2021] [Indexed: 12/12/2022] Open
Abstract
An increasing percentage of people have or are at risk to develop non-alcoholic fatty liver disease (NAFLD) worldwide. NAFLD comprises different stadia going from isolated steatosis to non-alcoholic steatohepatitis (NASH). NASH is a chronic state of liver inflammation that leads to the transformation of hepatic stellate cells to myofibroblasts. These cells produce extra-cellular matrix that results in liver fibrosis. In a normal situation, fibrogenesis is a wound healing process that preserves tissue integrity. However, sustained and progressive fibrosis can become pathogenic. This process takes many years and is often asymptomatic. Therefore, patients usually present themselves with end-stage liver disease e.g., liver cirrhosis, decompensated liver disease or even hepatocellular carcinoma. Fibrosis has also been identified as the most important predictor of prognosis in patients with NAFLD. Currently, only a minority of patients with liver fibrosis are identified to be at risk and hence referred for treatment. This is not only because the disease is largely asymptomatic, but also due to the fact that currently liver biopsy is still the golden standard for accurate detection of liver fibrosis. However, performing a liver biopsy harbors some risks and requires resources and expertise, hence is not applicable in every clinical setting and is unsuitable for screening. Consequently, different non-invasive diagnostic tools, mainly based on analysis of blood or other specimens or based on imaging have been developed or are in development. In this review, we will first give an overview of the pathogenic mechanisms of the evolution from isolated steatosis to fibrosis. This serves as the basis for the subsequent discussion of the current and future diagnostic biomarkers and anti-fibrotic drugs.
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Affiliation(s)
- Leen J. M. Heyens
- Faculty of Health and Life Sciences, Hasselt University, Hasselt, Belgium
- School of Nutrition and Translational Research in Metabolism, NUTRIM, Maastricht University, Maastricht, Netherlands
- Department of Gastro-Enterology and Hepatology, Ziekenhuis Oost-Limburg, Genk, Belgium
| | - Dana Busschots
- Faculty of Health and Life Sciences, Hasselt University, Hasselt, Belgium
- School of Nutrition and Translational Research in Metabolism, NUTRIM, Maastricht University, Maastricht, Netherlands
| | - Ger H. Koek
- School of Nutrition and Translational Research in Metabolism, NUTRIM, Maastricht University, Maastricht, Netherlands
- Division of Gastroenterology and Hepatology, Department of Internal Medicine, Maastricht University Medical Centre, Maastricht, Netherlands
| | - Geert Robaeys
- Faculty of Health and Life Sciences, Hasselt University, Hasselt, Belgium
- Department of Gastro-Enterology and Hepatology, Ziekenhuis Oost-Limburg, Genk, Belgium
- Department of Gastroenterology and Hepatology, University Hospital Katholieke Universiteit (KU) Leuven, Leuven, Belgium
| | - Sven Francque
- Department of Gastroenterology and Hepatology, Antwerp University Hospital, Antwerp, Belgium
- Laboratory of Experimental Medicine and Paediatrics, Faculty of Medicine and Health Sciences, University of Antwerp, Antwerp, Belgium
- *Correspondence: Sven Francque
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