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Stefanakis K, George J, Mantzoros CS. Non-invasive diagnosis and prognosis of MASH with fibrosis F2-F3: In need for a tailored, accessible, and affordable solution for the 21st century public health epidemic. Metabolism 2025:156296. [PMID: 40355078 DOI: 10.1016/j.metabol.2025.156296] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 05/14/2025]
Affiliation(s)
- Konstantinos Stefanakis
- Department of Internal Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA 02215, USA
| | - Jacob George
- Storr Liver Centre, The Westmead Institute for Medical Research, and Department of Gastroenterology & Hepatology, Westmead Hospital and Sydney West Local Health District, Sydney Medical School, Australia
| | - Christos S Mantzoros
- Department of Internal Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA 02215, USA; Department of Medicine, Boston VA Healthcare System, Harvard Medical School, Boston, MA 02115, USA.
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Wu H, Zhu Z, Li J, Qiu C, Xu P, Glaser KJ, Murphy MC, Venkatesh SK, Yaqoob U, Graham R, Mounajjed T, Manduca A, Winkelmann CT, Yashiro H, Manohar R, Allen AM, Shah VH, Ehman RL, Yin M. Three-Dimensional Vector MR Elastography for Evaluating Tissue Mechanical Heterogeneity to Assess Liver Disease Progression. Radiology 2025; 315:e242349. [PMID: 40167439 DOI: 10.1148/radiol.242349] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/02/2025]
Abstract
Background Metabolic dysfunction-associated steatotic liver disease (MASLD) is a growing global health challenge, with evidence indicating that hepatic inflammation and fibrosis are heterogeneous processes. Purpose To measure liver mechanical property heterogeneity using MR elastography (MRE) and evaluate its potential as a biomarker for tissue inflammation and fibrosis in patients with MASLD. Materials and Methods Mechanical tissue heterogeneity in MASLD was assessed at three-dimensional vector MRE pixel-wise histogram analysis of shear stiffness and loss modulus in preclinical and clinical studies. The preclinical study involved 25 rats that were examined monthly, whereas the clinical study analyzed data from 179 participants across two prospective studies (September 2015 to November 2022), including some who underwent bariatric surgery at pretreatment and posttreatment MRE examinations. Mean and coefficient of variation (CV) of shear stiffness and loss modulus were calculated for each examination. Nonparametric tests and Spearman correlation coefficient were used to compare MRE-derived tissue mechanics with biopsy-confirmed fibrosis and inflammation and assess correlations with portal pressure and histopathologic hepatic fibrosis. Results The preclinical study showed that, in cirrhotic livers, CV of loss modulus positively correlated with portal pressure and fibrosis area ratio variation (ρ = 0.52 [P = .008] and 0.55 [P = .005], respectively). The clinical study showed that, in 10 healthy volunteers (median age, 36.5 years; IQR, 34.0-38.8 years; five females) and 169 participants with MASLD (median age, 50.1 years; IQR, 41.0-58.2 years; 118 females), CV of sheer stiffness (from 0.12 to 0.30 in healthy participants to participants with stage 4 fibrosis) and loss modulus (from 0.31 to 0.51 in healthy participants to participants with grade 3 inflammation) increased with increasing severity of fibrosis and inflammation, respectively. In 36 participants who underwent bariatric surgery, the CV of sheer stiffness decreased at the 1-year follow-up, from 0.16 (IQR, 0.14-0.18) to 0.14 (IQR, 0.12-0.16) (P = .009). Conclusion Tissue mechanical heterogeneity assessed at MRE positively correlated with progression of MASLD, demonstrating potential as a biomarker for liver disease severity and therapeutic intervention. ClinicalTrials.gov Identifier: NCT02565446 Published under a CC BY 4.0 license. Supplemental material is available for this article. See also the editorial by Moura Cunha in this issue.
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Affiliation(s)
- Hao Wu
- Department of Radiology, Mayo Clinic, 200 First St SW, Rochester, MN 55905
- Department of Radiology, Taihe Hospital, Hubei University of Medicine, Shiyan, China
| | - Zheng Zhu
- Department of Radiology, Mayo Clinic, 200 First St SW, Rochester, MN 55905
- Department of Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Jiahui Li
- Department of Radiology, Mayo Clinic, 200 First St SW, Rochester, MN 55905
| | - Caixin Qiu
- Department of Radiology, Mayo Clinic, 200 First St SW, Rochester, MN 55905
| | - Peng Xu
- Department of Radiology, Mayo Clinic, 200 First St SW, Rochester, MN 55905
| | - Kevin J Glaser
- Department of Radiology, Mayo Clinic, 200 First St SW, Rochester, MN 55905
| | - Matthew C Murphy
- Department of Radiology, Mayo Clinic, 200 First St SW, Rochester, MN 55905
| | | | - Usman Yaqoob
- Division of Gastroenterology and Hepatology, Mayo Clinic, Rochester, Minn
| | - Rondell Graham
- Division of Anatomic Pathology, Mayo Clinic, Rochester, Minn
| | | | - Armando Manduca
- Department of Radiology, Mayo Clinic, 200 First St SW, Rochester, MN 55905
- Department of Physiology and Biomedical Engineering, Mayo Clinic, Rochester, Minn
| | | | | | | | - Alina M Allen
- Division of Gastroenterology and Hepatology, Mayo Clinic, Rochester, Minn
| | - Vijay H Shah
- Division of Gastroenterology and Hepatology, Mayo Clinic, Rochester, Minn
| | - Richard L Ehman
- Department of Radiology, Mayo Clinic, 200 First St SW, Rochester, MN 55905
| | - Meng Yin
- Department of Radiology, Mayo Clinic, 200 First St SW, Rochester, MN 55905
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Park JH, Kim SM, Lee DH. Comparison of Non-invasive Methods for Diagnosis of Non-alcoholic Fatty Liver Disease Before Bariatric Surgery and Postoperative Follow-up in Obese Patients. JOURNAL OF METABOLIC AND BARIATRIC SURGERY 2025; 14:53-64. [PMID: 40351816 PMCID: PMC12059311 DOI: 10.17476/jmbs.2025.14.1.53] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/02/2025] [Revised: 04/06/2025] [Accepted: 04/10/2025] [Indexed: 05/14/2025]
Abstract
Purpose This study aims to identify the most accurate and useful non-invasive method to replace liver biopsy for the diagnosis of non-alcoholic fatty liver disease (NAFLD) before bariatric surgery and postoperative follow-up in morbidly obese patients. Materials and Methods This single-center study is a retrospective analysis of prospectively collected data from 68 morbidly obese patients who underwent laparoscopic sleeve gastrectomy with intraoperative liver biopsy. Preoperative non-invasive diagnostic methods, including fatty liver index, NAFLD fibrosis score, enhanced liver fibrosis score, FibroScan, magnetic resonance imaging-proton density fat fraction (MRI-PDFF), magnetic resonance spectroscopy (MRS)-PDFF, and magnetic resonance elastography (MRE) were compared against liver biopsy results. Diagnostic performance was assessed using Spearman's correlation and receiver operating characteristic (ROC) curve analysis. Results Liver biopsy confirmed the presence of steatosis in 92.7% of patients, Nonalcoholic Steatohepatitis (NASH) in 64.7%, and liver fibrosis (≥F1) in 72.0%. MRI-PDFF and MRS-PDFF demonstrated the highest diagnostic accuracy for NASH, with the strongest correlation with histological findings. For liver fibrosis, MRE showed the strongest correlation with histological fibrosis stage, while FibroScan-Liver Stiffness Measurement (LSM) demonstrated better diagnostic performance in ROC analysis. However, the overall diagnostic quality of non-invasive methods for fibrosis assessment remained modest, with no method achieving a quality value above 0.6. Conclusion MRI-PDFF and MRS-PDFF were the most accurate noninvasive methods for diagnosing NASH in morbidly obese patients. For liver fibrosis, FibroScan-LSM may be more suitable for detection, while MRE may better reflect fibrosis severity. Further studies are needed to assess the cost-effectiveness and clinical applicability of these methods.
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Affiliation(s)
- Ji-Hyeon Park
- Department of Surgery, Gachon University Gil Medical Center, Gachon University College of Medicine, Incheon, Korea
| | - Seong Min Kim
- Department of Surgery, Gachon University Gil Medical Center, Gachon University College of Medicine, Incheon, Korea
| | - Dae Ho Lee
- Department of Internal Medicine, Gachon University Gil Medical Center, Gachon University College of Medicine, Incheon, Korea
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Panagiotopoulos N, Wolfson T, Harris DT, Batakis D, Agni R, Ceriani L, Covarrubias Y, Hamilton G, Middleton MS, Martins VF, Gamst AC, Oechtering TH, Sappenfield R, Horgan S, Grunvald E, Funk LM, Jacobsen GR, Lidor AO, Goodman JA, Khoury SB, Sirlin CB, Reeder SB. Proton density fat fraction for diagnosis of metabolic dysfunction-associated steatotic liver disease. Hepatology 2025:01515467-990000000-01216. [PMID: 40132140 DOI: 10.1097/hep.0000000000001318] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/20/2024] [Accepted: 02/10/2025] [Indexed: 03/27/2025]
Abstract
BACKGROUND AND AIMS Prior work has shown that MRI-derived proton density fat fraction (PDFF) can diagnose metabolic dysfunction-associated steatotic liver disease (MASLD) noninvasively, but there is a paucity of data on the performance of PDFF to classify more advanced forms of the MASLD spectrum. The purpose of this study was to assess the diagnostic performance of PDFF for the diagnoses of MASLD, metabolic dysfunction-associated steatohepatitis (MASH), and fibrotic MASH in adults with obesity undergoing bariatric surgery, using contemporaneous intraoperative liver biopsy as a reference. APPROACH AND RESULTS PDFF was evaluated alone and with other potential classifiers (imaging, serum and anthropometric), using Bayesian Information Criterion-based stepwise logistic regression models. Areas under the receiver operating characteristic (ROC) curves (AUC) were computed for all models and single classifiers. Cross-validated sensitivity and specificity were calculated at Youden-based PDFF classification thresholds. Data analysis from 140 patients demonstrated that PDFF was the most accurate single classifier, with high AUC for MASLD (0.95), MASH (0.85), and fibrotic MASH (0.82) (all p <0.001). Multivariable models, including PDFF, outperformed those without PDFF. The Youden-based threshold for PDFF was 4.4% for MASLD (sensitivity: 87%, specificity: 86%), 6.9% for MASH (sensitivity: 77%, specificity: 66%), and 13.5% for fibrotic MASH (sensitivity: 67%, specificity: 85%). CONCLUSIONS PDFF was the most accurate single classifier for diagnosing MASLD, MASH, and fibrotic MASH. The most accurate multivariable classification models for MASLD, MASH, and fibrotic MASH included PDFF, demonstrating the central importance of PDFF for noninvasive assessment of the MASLD spectrum.
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Affiliation(s)
| | - Tanya Wolfson
- Computational and Applied Statistical Laboratory (CASL), San Diego Supercomputer Center, University of California San Diego, San Diego, California, USA
| | - David T Harris
- Department of Radiology, University of Wisconsin-Madison, Madison, Wisconsin, USA
| | - Danielle Batakis
- Department of Radiology, University of California San Diego, San Diego, California, USA
| | - Rashmi Agni
- Department of Pathology and Laboratory Medicine, University of Wisconsin-Madison, Madison, Wisconsin, USA
| | - Lael Ceriani
- Department of Radiology, University of California San Diego, San Diego, California, USA
| | - Yesenia Covarrubias
- Department of Radiology, University of California San Diego, San Diego, California, USA
| | - Gavin Hamilton
- Department of Radiology, University of California San Diego, San Diego, California, USA
| | - Michael S Middleton
- Department of Radiology, University of California San Diego, San Diego, California, USA
| | - Vitor F Martins
- Department of Radiology, University of California San Diego, San Diego, California, USA
| | - Anthony C Gamst
- Computational and Applied Statistical Laboratory (CASL), San Diego Supercomputer Center, University of California San Diego, San Diego, California, USA
- Department of Mathematics, University of California San Diego, San Diego, California, USA
| | - Thekla H Oechtering
- Department of Radiology, University of Wisconsin-Madison, Madison, Wisconsin, USA
| | - Ryan Sappenfield
- Department of Pathology and Laboratory Medicine, University of Wisconsin-Madison, Madison, Wisconsin, USA
| | - Santiago Horgan
- Department of Surgery, University of California San Diego, San Diego, California, USA
| | - Eduardo Grunvald
- Department of Medicine, University of California San Diego, San Diego, California, USA
| | - Luke M Funk
- Department of Surgery, University of Wisconsin-Madison, Madison, Wisconsin, USA
- Department of Surgery. William S. Middleton VA, Madison, Wisconsin, USA
| | - Garth R Jacobsen
- Department of Surgery, University of California San Diego, San Diego, California, USA
| | - Anne O Lidor
- Department of Surgery, University of Wisconsin-Madison, Madison, Wisconsin, USA
| | - James A Goodman
- Translational Clinical Sciences, Pfizer Research & Development, Cambridge, Massachusetts, USA
| | - Sami B Khoury
- Department of Radiology, University of California San Diego, San Diego, California, USA
| | - Claude B Sirlin
- Department of Radiology, University of California San Diego, San Diego, California, USA
| | - Scott B Reeder
- Department of Radiology, University of Wisconsin-Madison, Madison, Wisconsin, USA
- Department of Medical Physics, University of Wisconsin-Madison, Madison, Wisconsin, USA
- Department of Biomedical Engineering, University of Wisconsin-Madison, Madison, Wisconsin, USA
- Department of Medicine, University of Wisconsin-Madison, Madison, Wisconsin, USA
- Department of Emergency Medicine, University of Wisconsin-Madison, Madison, Wisconsin, USA
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Qiu C, Glaser KJ, Owusu N, Li J, Wu H, Venkatesh SK, Manduca A, Ehman RL, Yin M. Acquisition Efficiency and Technical Repeatability of Dual-Frequency 3D Vector MR Elastography of the Liver. J Magn Reson Imaging 2025; 61:1416-1425. [PMID: 38935749 PMCID: PMC11671616 DOI: 10.1002/jmri.29493] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2023] [Revised: 06/05/2024] [Accepted: 06/05/2024] [Indexed: 06/29/2024] Open
Abstract
BACKGROUND MR elastography (MRE) at 60 Hz is widely used for staging liver fibrosis. MRE with lower frequencies may provide inflammation biomarkers. PURPOSE To establish a practical simultaneous dual-frequency liver MRE protocol at both 30 Hz and 60 Hz during a single examination and validate the occurrence of second harmonic waves at 30 Hz. STUDY TYPE Retrospective. SUBJECTS One hundred six patients (48 females, age: 50.0 ± 13.4 years) were divided as follows: Cohort One (15 patients with chronic liver disease [CLD] and 25 healthy volunteers) with simultaneous dual-frequency MRE. Cohort Two (66 patients with CLD) with second harmonic MRE. FIELD STRENGTH/SEQUENCE 3-T, single- or dual-frequency MRE at 30 Hz and 60 Hz. ASSESSMENT Liver stiffness (LS) in both cohorts was evaluated with manually placed volumetric ROIs by two independent analyzers. Image quality was assessed by three independent readers on a 4-point scale (0-3: none/failed, fair, moderate, excellent) based on the depth of wave propagation with 1/3 incremental penetration. The success rate was derived from the percentage of nonzero quality scores. STATISTICAL TESTS Measurement agreement, bias, and repeatability of LS were assessed using intraclass correlation coefficients (ICCs), Bland-Altman plots, and repeatability coefficient (RC). Mann-Whitney U tests were used to evaluate the differences in image quality between different methods. A P-value <0.05 was considered statistically significant. RESULTS Success rate was 97.5% in Cohort One and 91% success rate for the second harmonic MRE in Cohort Two. The second harmonic and conventional MRE showed excellent agreement in LS (all ICCs >0.90). The quality scores for the second harmonic wave images were lower than those from the conventional MRE (Z = -4.523). DATA CONCLUSION Compared with conventional and second harmonic methods, simultaneous dual-frequency had better image quality, high success rate and the advantage of intrinsic co-registration, while the second harmonic method can be an alternative if custom waveform is not available. EVIDENCE LEVEL 3 TECHNICAL EFFICACY: Stage 1.
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Affiliation(s)
- Caixin Qiu
- Department of RadiologyTianjin First Central HospitalTianjinChina
- Department of RadiologyMayo ClinicRochesterMinnesotaUSA
| | | | - Nana Owusu
- Department of RadiologyMayo ClinicRochesterMinnesotaUSA
| | - Jiahui Li
- Department of RadiologyMayo ClinicRochesterMinnesotaUSA
| | - Hao Wu
- Department of RadiologyMayo ClinicRochesterMinnesotaUSA
| | | | | | | | - Meng Yin
- Department of RadiologyMayo ClinicRochesterMinnesotaUSA
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Shah H, Guddati MN. Towards linking histological changes to liver viscoelasticity: a hybrid analytical-computational micromechanics approach. Phys Med Biol 2025; 70:10.1088/1361-6560/adaad3. [PMID: 39813799 PMCID: PMC11829796 DOI: 10.1088/1361-6560/adaad3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2024] [Accepted: 01/15/2025] [Indexed: 01/18/2025]
Abstract
Motivated by elastography that utilizes tissue mechanical properties as biomarkers for liver disease, with the eventual objective of quantitatively linking histopathology and bulk mechanical properties, we develop a micromechanical modeling approach to capture the effects of fat and collagen deposition in the liver. Specifically, we utilize computational homogenization to convert the microstructural changes in hepatic lobule to the effective viscoelastic modulus of the liver tissue, i.e. predict the bulk material properties by analyzing the deformation of repeating unit cell. The lipid and collagen deposition is simulated with the help of ad hoc algorithms informed by histological observations. Collagen deposition is directly included in the computational model, while composite material theory is used to convert fat content to the microscopic mechanical properties, which in turn is included in the computational model. The results illustrate the model's ability to capture the effect of both fat and collagen deposition on the viscoelastic moduli and represents a step towards linking histopathological changes in the liver to its bulk mechanical properties, which can eventually provide insights for accurate diagnosis with elastography.
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Affiliation(s)
- Haritya Shah
- North Carolina State University, Raleigh, NC 27695-7908
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Shah H, Guddati MN. Towards Linking Histological Changes to Liver Viscoelasticity: A Hybrid Analytical-Computational Micromechanics Approach. ARXIV 2025:arXiv:2411.13530v3. [PMID: 39606726 PMCID: PMC11601793] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Subscribe] [Scholar Register] [Indexed: 11/29/2024]
Abstract
Motivated by elastography that utilizes tissue mechanical properties as biomarkers for liver disease, with the eventual objective of quantitatively linking histopathology and bulk mechanical properties, we develop a micromechanical modeling approach to capture the effects of fat and collagen deposition in the liver. Specifically, we utilize computational homogenization to convert the microstructural changes in hepatic lobule to the effective viscoelastic modulus of the liver tissue, i.e., predict the bulk material properties by analyzing the deformation of repeating unit cell. The lipid and collagen deposition is simulated with the help of ad hoc algorithms informed by histological observations. Collagen deposition is directly included in the computational model, while composite material theory is used to convert fat content to the microscopic mechanical properties, which in turn is included in the computational model. The results illustrate the model's ability to capture the effect of both fat and collagen deposition on the viscoelastic moduli and represents a step towards linking histopathological changes in the liver to its bulk mechanical properties, which can eventually provide insights for accurate diagnosis with elastography.
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8
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Dejeu D, Dejeu P, Muresan A, Bradea P, Dejeu V. MRI-PDFF Assessment of Intrahepatic Fat Changes Post-Bariatric Surgery: A Systematic Literature Review. MEDICINA (KAUNAS, LITHUANIA) 2024; 60:2003. [PMID: 39768883 PMCID: PMC11728038 DOI: 10.3390/medicina60122003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/01/2024] [Revised: 11/26/2024] [Accepted: 12/03/2024] [Indexed: 01/16/2025]
Abstract
Background and Objectives: Non-alcoholic fatty liver disease (NAFLD) is prevalent among obese individuals and can progress to non-alcoholic steatohepatitis (NASH). Bariatric surgery is known to induce significant weight loss and may improve NAFLD. This systematic review uniquely synthesizes current evidence on the effects of bariatric surgery on intrahepatic fat content, measured by magnetic resonance imaging proton density fat fraction (MRI-PDFF), and assesses study quality using the Newcastle-Ottawa Scale (NOS). Materials and Methods: The literature search was conducted across the PubMed, Scopus, and Web of Science databases up to October 2024, identifying 12 prospective cohort studies involving 613 patients who underwent bariatric surgery. Inclusion criteria included adult patients with NAFLD undergoing bariatric surgery, assessment of liver fat changes using MRI-PDFF before and after surgery, and studies reporting quantitative data on liver fat fraction and relevant clinical parameters. Data extraction focused on patient demographics, surgical procedures, specific weight loss outcomes (delta BMI), changes in intrahepatic fat content (delta MRI-PDFF), and quality assessment scores based on the NOS. Results: Significant reductions in intrahepatic fat content were observed across all studies, with delta MRI-PDFF reductions ranging from 6.9% to 14%. Weight loss outcomes varied, with excess weight loss percentages up to 81.3% and BMI reductions up to 12 kg/m². The quality assessment scores ranged from six to nine out of nine, indicating generally high-quality studies. Correlations were noted between the degree of weight loss and reduction in liver fat content. Several studies reported high rates of resolution of steatosis and NASH post-operatively. Conclusions: Bariatric surgery leads to significant reductions in intrahepatic fat content and improvements in NAFLD among obese patients. The degree of weight loss correlates with the reduction in liver fat. These findings underscore the clinical utility of bariatric surgery as a strategic intervention for managing NAFLD in obese individuals, potentially influencing clinical practice guidelines by integrating bariatric surgery as a viable treatment option for NAFLD-related hepatic conditions.
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Affiliation(s)
- Danut Dejeu
- Surgical Oncology Department, Emergency County Hospital Oradea, Strada Gheorghe Doja 65, 410169 Oradea, Romania; (D.D.); (A.M.)
- Surgery Department, Faculty of Medicine and Pharmacy, University of Oradea, Piata 1 Decembrie 10, 410073 Oradea, Romania
- Bariatric Surgery Department, Medlife Humanitas Hospital, Strada Frunzisului 75, 400664 Cluj Napoca, Romania
| | - Paula Dejeu
- Laboratory Medicine Unit, Betania Medical Center, Menumorut 12, 410004 Oradea, Romania
| | - Anita Muresan
- Surgical Oncology Department, Emergency County Hospital Oradea, Strada Gheorghe Doja 65, 410169 Oradea, Romania; (D.D.); (A.M.)
- Surgery Department, Faculty of Medicine and Pharmacy, University of Oradea, Piata 1 Decembrie 10, 410073 Oradea, Romania
| | - Paula Bradea
- Gastroenterology Unit, Betania Medical Center, Menumorut 12, 410004 Oradea, Romania;
| | - Viorel Dejeu
- Bariatric Surgery Department, Life Memorial Hospital, Calea Grivitei 365, 010719 Bucuresti, Romania;
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9
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Allen AM, Younossi ZM, Diehl AM, Charlton MR, Lazarus JV. Envisioning how to advance the MASH field. Nat Rev Gastroenterol Hepatol 2024; 21:726-738. [PMID: 38834817 DOI: 10.1038/s41575-024-00938-9] [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] [Accepted: 05/02/2024] [Indexed: 06/06/2024]
Abstract
Since 1980, the cumulative effort of scientists and health-care stakeholders has advanced the prerequisites to address metabolic dysfunction-associated steatotic liver disease (MASLD), a prevalent chronic non-communicable liver disease. This effort has led to, among others, the approval of the first drug specific for metabolic dysfunction-associated steatohepatitis (MASH; formerly known as nonalcoholic steatohepatitis). Despite substantial progress, MASLD is still a leading cause of advanced chronic liver disease, including primary liver cancer. This Perspective contextualizes the nomenclature change from nonalcoholic fatty liver disease to MASLD and proposes important considerations to accelerate further progress in the field, optimize patient-centric multidisciplinary care pathways, advance pharmacological, behavioural and diagnostic research, and address health disparities. Key regulatory and other steps necessary to optimize the approval and access to upcoming additional pharmacological therapeutic agents for MASH are also outlined. We conclude by calling for increased education and awareness, enhanced health system preparedness, and concerted action by policy-makers to further the public health and policy agenda to achieve at least parity with other non-communicable diseases and to aid in growing the community of practice to reduce the human and economic burden and end the public health threat of MASLD and MASH by 2030.
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Affiliation(s)
- Alina M Allen
- Division of Gastroenterology and Hepatology, Department of Medicine, Mayo Clinic, Rochester, MN, USA
| | - Zobair M Younossi
- Beatty Liver and Obesity Research Program, Inova Health System, Falls Church, VA, USA
- The Global NASH Council, Washington DC, USA
| | | | - Michael R Charlton
- Center for Liver Diseases, Department of Medicine, The University of Chicago, Chicago, IL, USA
| | - Jeffrey V Lazarus
- The Global NASH Council, Washington DC, USA.
- CUNY Graduate School of Public Health and Health Policy (CUNY SPH), New York, NY, USA.
- Barcelona Institute for Global Health (ISGlobal), Hospital Clínic, University of Barcelona, Barcelona, Spain.
- Faculty of Medicine and Health Sciences, University of Barcelona, Barcelona, Spain.
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10
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Kim MN, Han JW, An J, Kim BK, Jin YJ, Kim SS, Lee M, Lee HA, Cho Y, Kim HY, Shin YR, Yu JH, Kim MY, Choi Y, Chon YE, Cho EJ, Lee EJ, Kim SG, Kim W, Jun DW, Kim SU. KASL clinical practice guidelines for noninvasive tests to assess liver fibrosis in chronic liver disease. Clin Mol Hepatol 2024; 30:S5-S105. [PMID: 39159947 PMCID: PMC11493350 DOI: 10.3350/cmh.2024.0506] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/02/2024] [Revised: 08/12/2024] [Accepted: 08/16/2024] [Indexed: 08/21/2024] Open
Affiliation(s)
- Mi Na Kim
- Department of Internal Medicine, Yonsei University College of Medicine, Seoul, Korea
- Yonsei Liver Center, Severance Hospital, Seoul, Korea
| | - Ji Won Han
- Division of Gastroenterology and Hepatology, Department of Internal Medicine, Seoul St. Mary’s Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea
| | - Jihyun An
- Department of Gastroenterology and Hepatology, Hanyang University Guri Hospital, Hanyang University College of Medicine, Guri, Korea
| | - Beom Kyung Kim
- Department of Internal Medicine, Yonsei University College of Medicine, Seoul, Korea
- Yonsei Liver Center, Severance Hospital, Seoul, Korea
| | - Young-Joo Jin
- Department of Internal Medicine, Inha University Hospital, Inha University School of Medicine, Incheon, Korea
| | - Seung-seob Kim
- Department of Radiology and Research Institute of Radiological Science, Severance Hospital, Yonsei University College of Medicine, Seoul, Korea
| | - Minjong Lee
- Department of Internal Medicine, Ewha Womans University College of Medicine, Seoul, Korea
| | - Han Ah Lee
- Department of Internal Medicine, Chung-Ang University College of Medicine, Seoul, Korea
| | - Yuri Cho
- Center for Liver and Pancreatobiliary Cancer, National Cancer Center, Goyang, Korea
| | - Hee Yeon Kim
- Division of Gastroenterology and Hepatology, Department of Internal Medicine, Bucheon St. Mary’s Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea
| | - Yu Rim Shin
- Department of Thoracic and Cardiovascular Surgery, Yonsei University College of Medicine, Seoul, Korea
| | - Jung Hwan Yu
- Department of Internal Medicine, Inha University Hospital, Inha University School of Medicine, Incheon, Korea
| | - Moon Young Kim
- Department of Internal Medicine, Yonsei University Wonju College of Medicine, Wonju, Korea
| | - YoungRok Choi
- Department of Surgery, Seoul National University College of Medicine, Seoul National University Hospital, Seoul, Korea
| | - Young Eun Chon
- Department of Internal Medicine, Institute of Gastroenterology, CHA Bundang Medical Center, CHA University, Seongnam, Korea
| | - Eun Ju Cho
- Department of Internal Medicine and Liver Research Institute, Seoul National University College of Medicine, Seoul, Korea
| | - Eun Joo Lee
- Department of Pediatrics, Yonsei University College of Medicine, Seoul, Korea
| | - Sang Gyune Kim
- Department of Internal Medicine, Soonchunhyang University Bucheon Hospital, Bucheon, Korea
| | - Won Kim
- Department of Internal Medicine, Seoul Metropolitan Government Boramae Medical Center, Seoul National University College of Medicine, Seoul, Korea
| | - Dae Won Jun
- Department of Internal Medicine, Hanyang University Hospital, Hanyang University College of Medicine, Seoul, Korea
| | - Seung Up Kim
- Department of Internal Medicine, Yonsei University College of Medicine, Seoul, Korea
- Yonsei Liver Center, Severance Hospital, Seoul, Korea
| | - on behalf of The Korean Association for the Study of the Liver (KASL)
- Department of Internal Medicine, Yonsei University College of Medicine, Seoul, Korea
- Yonsei Liver Center, Severance Hospital, Seoul, Korea
- Division of Gastroenterology and Hepatology, Department of Internal Medicine, Seoul St. Mary’s Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea
- Department of Gastroenterology and Hepatology, Hanyang University Guri Hospital, Hanyang University College of Medicine, Guri, Korea
- Department of Internal Medicine, Inha University Hospital, Inha University School of Medicine, Incheon, Korea
- Department of Radiology and Research Institute of Radiological Science, Severance Hospital, Yonsei University College of Medicine, Seoul, Korea
- Department of Internal Medicine, Ewha Womans University College of Medicine, Seoul, Korea
- Department of Internal Medicine, Chung-Ang University College of Medicine, Seoul, Korea
- Center for Liver and Pancreatobiliary Cancer, National Cancer Center, Goyang, Korea
- Division of Gastroenterology and Hepatology, Department of Internal Medicine, Bucheon St. Mary’s Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea
- Department of Thoracic and Cardiovascular Surgery, Yonsei University College of Medicine, Seoul, Korea
- Department of Internal Medicine, Yonsei University Wonju College of Medicine, Wonju, Korea
- Department of Surgery, Seoul National University College of Medicine, Seoul National University Hospital, Seoul, Korea
- Department of Internal Medicine, Institute of Gastroenterology, CHA Bundang Medical Center, CHA University, Seongnam, Korea
- Department of Internal Medicine and Liver Research Institute, Seoul National University College of Medicine, Seoul, Korea
- Department of Pediatrics, Yonsei University College of Medicine, Seoul, Korea
- Department of Internal Medicine, Soonchunhyang University Bucheon Hospital, Bucheon, Korea
- Department of Internal Medicine, Seoul Metropolitan Government Boramae Medical Center, Seoul National University College of Medicine, Seoul, Korea
- Department of Internal Medicine, Hanyang University Hospital, Hanyang University College of Medicine, Seoul, Korea
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11
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Le Y, Chen J, Rossman P, Bolster B, Kannengiesser S, Manduca A, Glaser K, Sui Y, Huston J, Yin Z, Ehman RL. Wavelet MRE: Imaging propagating broadband acoustic waves with wavelet-based motion-encoding gradients. Magn Reson Med 2024; 91:1923-1935. [PMID: 38098427 PMCID: PMC10950519 DOI: 10.1002/mrm.29972] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2023] [Revised: 10/24/2023] [Accepted: 11/26/2023] [Indexed: 03/20/2024]
Abstract
PURPOSE To demonstrate a novel MR elastography (MRE) technique, termed here wavelet MRE. With this technique, broadband motion sensitivity is achievable. Moreover, the true tissue displacement can be reconstructed with a simple inverse transform. METHODS A wavelet MRE sequence was developed with motion-encoding gradients based on Haar wavelets. From the phase images' displacement was estimated using an inverse transform. Simulations were performed using a frequency sweep and a transient as ground-truth motions. A PVC phantom was scanned using wavelet MRE and standard MRE with both transient (one and 10 cycles of 90-Hz motion) and steady-state dual-frequency motion (30 and 60 Hz) for comparison. The technique was tested in a human brain, and motion trajectories were estimated for each voxel. RESULTS In simulation, the displacement information estimated from wavelet MRE closely matched the true motion. In the phantom test, the MRE phase data generated from the displacement information derived from wavelet MRE agreed well with standard MRE data. Testing of wavelet MRE to assess transient motion waveforms in the brain was successful, and the tissue motion observed was consistent with a previous study. CONCLUSION The uniform and broadband frequency response of wavelet MRE makes it a promising method for imaging transient, multifrequency motion, or motion with unknown frequency content. One potential application is measuring the response of brain tissue undergoing low-amplitude, transient vibrations as a model for the study of traumatic brain injury.
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Affiliation(s)
- Yuan Le
- Department of Radiology, Mayo Clinic, Rochester, MN
| | - Jun Chen
- Department of Radiology, Mayo Clinic, Rochester, MN
| | | | - Bradley Bolster
- MR Collaborations, Siemens Medical Solutions USA, Inc., Malvern, PA, USA
| | | | | | - Kevin Glaser
- Department of Radiology, Mayo Clinic, Rochester, MN
| | - Yi Sui
- Department of Radiology, Mayo Clinic, Rochester, MN
| | - John Huston
- Department of Radiology, Mayo Clinic, Rochester, MN
| | - Ziying Yin
- Department of Radiology, Mayo Clinic, Rochester, MN
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12
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Khalfallah M, Doblas S, Hammoutene A, Julea F, Postic C, Valla D, Paradis V, Garteiser P, Van Beers BE. Visco-Elastic Parameters at Three-Dimensional MR Elastography for Diagnosing Non-Alcoholic Steatohepatitis and Substantial Fibrosis in Mice. J Magn Reson Imaging 2024; 59:97-107. [PMID: 37158252 DOI: 10.1002/jmri.28765] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2023] [Revised: 04/12/2023] [Accepted: 04/13/2023] [Indexed: 05/10/2023] Open
Abstract
BACKGROUND Nonalcoholic fatty liver disease (NAFLD) is increasing worldwide and is a growing cause of liver cirrhosis and cancer. The performance of the magnetic resonance elastography (MRE) visco-elastic parameters in diagnosing progressive forms of NAFLD, including nonalcoholic steatohepatitis (NASH) and substantial fibrosis (F ≥ 2), needs to be clarified. PURPOSE To assess the value of three-dimensional MRE visco-elastic parameters as markers of NASH and substantial fibrosis in mice with NAFLD. STUDY TYPE Prospective. ANIMAL MODEL Two mouse models of NAFLD were induced by feeding with high fat diet or high fat, choline-deficient, amino acid-defined diet. FIELD STRENGTH/SEQUENCE 7T/multi-slice multi-echo spin-echo MRE at 400 Hz with motion encoding in the three spatial directions. ASSESSMENT Hepatic storage and loss moduli were calculated. Histological analysis was based on the NASH Clinical Research Network criteria. STATISTICAL TESTS Mann-Whitney, Kruskal-Wallis tests, Spearman rank correlations and multiple regressions were used. Diagnostic performance was assessed with areas under the receiver operating characteristic curves (AUCs). P value <0.05 was considered significant. RESULTS Among the 59 mice with NAFLD, 21 had NASH and 20 had substantial fibrosis (including 8 mice without and 12 mice with NASH). The storage and loss moduli had similar moderate accuracy for diagnosing NASH with AUCs of 0.67 and 0.66, respectively. For diagnosing substantial fibrosis, the AUC of the storage modulus was 0.73 and the AUC of the loss modulus was 0.81, indicating good diagnostic performance. Using Spearman correlations, histological fibrosis, inflammation and steatosis, but not ballooning, were significantly correlated with the visco-elastic parameters. Using multiple regression, fibrosis was the only histological feature independently associated with the visco-elastic parameters. CONCLUSION MRE in mice with NAFLD suggests that the storage and loss moduli have good diagnostic performance for detecting progressive NAFLD defined as substantial fibrosis rather than NASH. EVIDENCE LEVEL 1 TECHNICAL EFFICACY STAGE: 2.
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Affiliation(s)
- Meryem Khalfallah
- Laboratory of Imaging Biomarkers, Center for Research on Inflammation, Université Paris Cité, UMR 1149 Inserm, Paris, France
| | - Sabrina Doblas
- Laboratory of Imaging Biomarkers, Center for Research on Inflammation, Université Paris Cité, UMR 1149 Inserm, Paris, France
| | - Adel Hammoutene
- Team "From Inflammation to Cancer in Digestive Disease", Center for Research on Inflammation, Université Paris Cité, UMR 1149 Inserm, Paris, France
| | - Felicia Julea
- Laboratory of Imaging Biomarkers, Center for Research on Inflammation, Université Paris Cité, UMR 1149 Inserm, Paris, France
| | - Catherine Postic
- Team "Glucose Sensing, Insulin Signaling and Glucotoxicity", Institut Cochin, Université Paris Cité, CNRS, Inserm, Paris, France
| | - Dominique Valla
- Department of Hepatology, Beaujon University Hospital Paris Nord, AP-HP, Clichy, France
| | - Valérie Paradis
- Team "From Inflammation to Cancer in Digestive Disease", Center for Research on Inflammation, Université Paris Cité, UMR 1149 Inserm, Paris, France
- Department of Pathology, Beaujon University Hospital Paris Nord, AP-HP, Clichy, France
| | - Philippe Garteiser
- Laboratory of Imaging Biomarkers, Center for Research on Inflammation, Université Paris Cité, UMR 1149 Inserm, Paris, France
| | - Bernard E Van Beers
- Laboratory of Imaging Biomarkers, Center for Research on Inflammation, Université Paris Cité, UMR 1149 Inserm, Paris, France
- Department of Radiology, Beaujon University Hospital Paris Nord, AP-HP, Clichy, France
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13
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Chouari T, Merali N, La Costa F, Santol J, Chapman S, Horton A, Aroori S, Connell J, Rockall TA, Mole D, Starlinger P, Welsh F, Rees M, Frampton AE. The Role of the Multiparametric MRI LiverMultiScan TM in the Quantitative Assessment of the Liver and Its Predicted Clinical Applications in Patients Undergoing Major Hepatic Resection for Colorectal Liver Metastasis. Cancers (Basel) 2023; 15:4863. [PMID: 37835557 PMCID: PMC10571783 DOI: 10.3390/cancers15194863] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2023] [Revised: 08/05/2023] [Accepted: 10/02/2023] [Indexed: 10/15/2023] Open
Abstract
Liver biopsy remains the gold standard for the histological assessment of the liver. With clear disadvantages and the rise in the incidences of liver disease, the role of neoadjuvant chemotherapy in colorectal liver metastasis (CRLM) and an explosion of surgical management options available, non-invasive serological and imaging markers of liver histopathology have never been more pertinent in order to assess liver health and stratify patients considered for surgical intervention. Liver MRI is a leading modality in the assessment of hepatic malignancy. Recent technological advancements in multiparametric MRI software such as the LiverMultiScanTM offers an attractive non-invasive assay of anatomy and histopathology in the pre-operative setting, especially in the context of CRLM. This narrative review examines the evidence for the LiverMultiScanTM in the assessment of hepatic fibrosis, steatosis/steatohepatitis, and potential applications for chemotherapy-associated hepatic changes. We postulate its future role and the hurdles it must surpass in order to be implemented in the pre-operative management of patients undergoing hepatic resection for colorectal liver metastasis. Such a role likely extends to other hepatic malignancies planned for resection.
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Affiliation(s)
- Tarak Chouari
- MATTU, The Leggett Building, Daphne Jackson Road, Guildford GU2 7WG, UK; (T.C.)
- Department of Hepato-Pancreato-Biliary (HPB) Surgery, Royal Surrey County Hospital, Egerton Road, Guildford GU2 7XX, UK
- Oncology Section, Department of Clinical and Experimental Medicine, Faculty of Health and Medical Science, University of Surrey, Guildford GU2 7WG, UK
| | - Nabeel Merali
- MATTU, The Leggett Building, Daphne Jackson Road, Guildford GU2 7WG, UK; (T.C.)
- Department of Hepato-Pancreato-Biliary (HPB) Surgery, Royal Surrey County Hospital, Egerton Road, Guildford GU2 7XX, UK
- Oncology Section, Department of Clinical and Experimental Medicine, Faculty of Health and Medical Science, University of Surrey, Guildford GU2 7WG, UK
| | - Francesca La Costa
- Department of Hepato-Pancreato-Biliary (HPB) Surgery, Royal Surrey County Hospital, Egerton Road, Guildford GU2 7XX, UK
| | - Jonas Santol
- Department of Surgery, HPB Center, Vienna Health Network, Clinic Favoriten and Sigmund Freud Private University, 1090 Vienna, Austria
- Institute of Vascular Biology and Thrombosis Research, Center of Physiology and Pharmacology, Medical University of Vienna, 1090 Vienna, Austria
| | - Shelley Chapman
- Department of Radiology, Royal Surrey County Hospital, Egerton Road, Guildford GU2 7XX, UK
| | - Alex Horton
- Department of Radiology, Royal Surrey County Hospital, Egerton Road, Guildford GU2 7XX, UK
| | - Somaiah Aroori
- Department of Surgery, Division of Hepatobiliary and Pancreatic Surgery and Transplant Surgery, Derriford Hospital, Plymouth PL6 8DH, UK
| | | | - Timothy A. Rockall
- MATTU, The Leggett Building, Daphne Jackson Road, Guildford GU2 7WG, UK; (T.C.)
- Oncology Section, Department of Clinical and Experimental Medicine, Faculty of Health and Medical Science, University of Surrey, Guildford GU2 7WG, UK
| | - Damian Mole
- Clinical Surgery, Royal Infirmary of Edinburgh, University of Edinburgh, Edinburgh EH10 5HF, UK
- Centre for Inflammation Research, University of Edinburgh, Queen’s Medical Research Institute, Edinburgh EH105HF, UK
| | - Patrick Starlinger
- Department of Surgery, Division of Hepatobiliary and Pancreatic Surgery, Mayo Clinic, Rochester, MN 55902, USA
- Center of Physiology and Pharmacology, Medical University of Vienna, 1090 Vienna, Austria
- Department of Surgery, Medical University of Vienna, General Hospital, 1090 Vienna, Austria
| | - Fenella Welsh
- Hepato-Biliary Unit, Hampshire Hospitals Foundation Trust, Basingstoke, Hampshire RG24 9NA, UK
| | - Myrddin Rees
- Hepato-Biliary Unit, Hampshire Hospitals Foundation Trust, Basingstoke, Hampshire RG24 9NA, UK
| | - Adam E. Frampton
- MATTU, The Leggett Building, Daphne Jackson Road, Guildford GU2 7WG, UK; (T.C.)
- Department of Hepato-Pancreato-Biliary (HPB) Surgery, Royal Surrey County Hospital, Egerton Road, Guildford GU2 7XX, UK
- Oncology Section, Department of Clinical and Experimental Medicine, Faculty of Health and Medical Science, University of Surrey, Guildford GU2 7WG, UK
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Jordan VC, Sojoodi M, Shroff S, Pagan PG, Barrett SC, Wellen J, Tanabe KK, Chung RT, Caravan P, Gale EM. Molecular magnetic resonance imaging of liver inflammation using an oxidatively activated probe. JHEP Rep 2023; 5:100850. [PMID: 37818152 PMCID: PMC10561122 DOI: 10.1016/j.jhepr.2023.100850] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/19/2022] [Revised: 07/06/2023] [Accepted: 07/10/2023] [Indexed: 10/12/2023] Open
Abstract
Background & Aims Many liver diseases are driven by inflammation, but imaging to non-invasively diagnose and quantify liver inflammation has been underdeveloped. The inflammatory liver microenvironment is aberrantly oxidising owing in part to reactive oxygen species generated by myeloid leucocytes. We hypothesised that magnetic resonance imaging using the oxidatively activated probe Fe-PyC3A will provide a non-invasive biomarker of liver inflammation. Methods A mouse model of drug-induced liver injury was generated through intraperitoneal injection of a hepatoxic dose of acetaminophen. A mouse model of steatohepatitis was generated via a choline-deficient, l-amino acid defined high-fat diet (CDAHFD). Images were acquired dynamically before and after intravenous injection of Fe-PyC3A. The contrast agent gadoterate meglumine was used as a non-oxidatively activated negative control probe in mice fed CDAHFD. The (post-pre) Fe-PyC3A injection change in liver vs. muscle contrast-to-noise ratio (ΔCNR) recorded 2 min post-injection was correlated with liver function test values, histologic scoring assigned using the NASH Clinical Research Network criteria, and intrahepatic myeloid leucocyte composition determined by flow cytometry. Results For mice receiving i.p. injections of acetaminophen, intrahepatic neutrophil composition correlated poorly with liver test values but positively and significantly with ΔCNR (r = 0.64, p <0.0001). For mice fed CDAHFD, ΔCNR generated by Fe-PyC3A in the left lobe was significantly greater in mice meeting histologic criteria strongly associated with a diagnosis NASH compared to mice where histology was consistent with likely non-NASH (p = 0.0001), whereas no differential effect was observed using gadoterate meglumine. In mice fed CDAHFD, ΔCNR did not correlate strongly with fractional composition of any specific myeloid cell subpopulation as determined by flow cytometry. Conclusions Magnetic resonance imaging using Fe-PyC3A merits further evaluation as a non-invasive biomarker for liver inflammation. Impact and implications Non-invasive tests to diagnose and measure liver inflammation are underdeveloped. Inflammatory cells such as neutrophils release reactive oxygen species which creates an inflammatory liver microenvironment that can drive chemical oxidation. We recently invented a new class of magnetic resonance imaging probe that is made visible to the scanner only after chemical oxidation. Here, we demonstrate how this imaging technology could be applied as a non-invasive biomarker for liver inflammation.
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Affiliation(s)
- Veronica Clavijo Jordan
- Athinoula A. Martinos Center for Biomedical Imaging, The Institute for Innovation in Imaging, Department of Radiology, Massachusetts General Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Mozhdeh Sojoodi
- Harvard Medical School, Boston, MA, USA
- Division of Gastrointestinal and Oncologic Surgery, Massachusetts General Hospital, Boston, MA, USA
| | - Stuti Shroff
- Harvard Medical School, Boston, MA, USA
- Department of Pathology, Massachusetts General Hospital, Boston, MA, USA
| | - Patricia Gonzalez Pagan
- Athinoula A. Martinos Center for Biomedical Imaging, The Institute for Innovation in Imaging, Department of Radiology, Massachusetts General Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Stephen Cole Barrett
- Harvard Medical School, Boston, MA, USA
- Division of Gastrointestinal and Oncologic Surgery, Massachusetts General Hospital, Boston, MA, USA
| | | | - Kenneth K. Tanabe
- Harvard Medical School, Boston, MA, USA
- Division of Gastrointestinal and Oncologic Surgery, Massachusetts General Hospital, Boston, MA, USA
| | - Raymond T. Chung
- Harvard Medical School, Boston, MA, USA
- Gastroenterology Unit, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Peter Caravan
- Athinoula A. Martinos Center for Biomedical Imaging, The Institute for Innovation in Imaging, Department of Radiology, Massachusetts General Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Eric M. Gale
- Athinoula A. Martinos Center for Biomedical Imaging, The Institute for Innovation in Imaging, Department of Radiology, Massachusetts General Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
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15
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Lazarus JV, Mark HE, Allen AM, Arab JP, Carrieri P, Noureddin M, Alazawi W, Alkhouri N, Alqahtani SA, Arrese M, Bataller R, Berg T, Brennan PN, Burra P, Castro-Narro GE, Cortez-Pinto H, Cusi K, Dedes N, Duseja A, Francque SM, Hagström H, Huang TTK, Wajcman DI, Kautz A, Kopka CJ, Krag A, Miller V, Newsome PN, Rinella ME, Romero D, Sarin SK, Silva M, Spearman CW, Tsochatzis EA, Valenti L, Villota-Rivas M, Zelber-Sagi S, Schattenberg JM, Wong VWS, Younossi ZM. A global research priority agenda to advance public health responses to fatty liver disease. J Hepatol 2023; 79:618-634. [PMID: 37353401 DOI: 10.1016/j.jhep.2023.04.035] [Citation(s) in RCA: 58] [Impact Index Per Article: 29.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/05/2023] [Revised: 04/21/2023] [Accepted: 04/26/2023] [Indexed: 06/25/2023]
Abstract
BACKGROUND & AIMS An estimated 38% of adults worldwide have non-alcoholic fatty liver disease (NAFLD). From individual impacts to widespread public health and economic consequences, the implications of this disease are profound. This study aimed to develop an aligned, prioritised fatty liver disease research agenda for the global health community. METHODS Nine co-chairs drafted initial research priorities, subsequently reviewed by 40 core authors and debated during a three-day in-person meeting. Following a Delphi methodology, over two rounds, a large panel (R1 n = 344, R2 n = 288) reviewed the priorities, via Qualtrics XM, indicating agreement using a four-point Likert-scale and providing written feedback. The core group revised the draft priorities between rounds. In R2, panellists also ranked the priorities within six domains: epidemiology, models of care, treatment and care, education and awareness, patient and community perspectives, and leadership and public health policy. RESULTS The consensus-built fatty liver disease research agenda encompasses 28 priorities. The mean percentage of 'agree' responses increased from 78.3 in R1 to 81.1 in R2. Five priorities received unanimous combined agreement ('agree' + 'somewhat agree'); the remaining 23 priorities had >90% combined agreement. While all but one of the priorities exhibited at least a super-majority of agreement (>66.7% 'agree'), 13 priorities had <80% 'agree', with greater reliance on 'somewhat agree' to achieve >90% combined agreement. CONCLUSIONS Adopting this multidisciplinary consensus-built research priorities agenda can deliver a step-change in addressing fatty liver disease, mitigating against its individual and societal harms and proactively altering its natural history through prevention, identification, treatment, and care. This agenda should catalyse the global health community's efforts to advance and accelerate responses to this widespread and fast-growing public health threat. IMPACT AND IMPLICATIONS An estimated 38% of adults and 13% of children and adolescents worldwide have fatty liver disease, making it the most prevalent liver disease in history. Despite substantial scientific progress in the past three decades, the burden continues to grow, with an urgent need to advance understanding of how to prevent, manage, and treat the disease. Through a global consensus process, a multidisciplinary group agreed on 28 research priorities covering a broad range of themes, from disease burden, treatment, and health system responses to awareness and policy. The findings have relevance for clinical and non-clinical researchers as well as funders working on fatty liver disease and non-communicable diseases more broadly, setting out a prioritised, ranked research agenda for turning the tide on this fast-growing public health threat.
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Affiliation(s)
- Jeffrey V Lazarus
- Barcelona Institute for Global Health (ISGlobal), Hospital Clínic, University of Barcelona, Barcelona, Spain; Faculty of Medicine and Health Sciences, University of Barcelona, Barcelona, Spain; CUNY Graduate School of Public Health and Health Policy (CUNY SPH), New York, NY, USA.
| | - Henry E Mark
- European Association for the Study of the Liver (EASL), Geneva, Switzerland; Independent Consultant, Nottingham, UK
| | - Alina M Allen
- Division of Gastroenterology and Hepatology, Department of Medicine, Mayo Clinic, Rochester, MN, USA
| | - Juan Pablo Arab
- Division of Gastroenterology, Department of Medicine, Schulich School of Medicine, Western University & London Health Sciences Centre, London, Ontario, Canada; Department of Epidemiology and Biostatistics, Schulich School of Medicine, Western University, London, Ontario, Canada; Department of Gastroenterology, School of Medicine, Pontificia Universidad Católica de Chile, Santiago, Chile
| | - Patrizia Carrieri
- Aix Marseille Univ, Inserm, IRD, SESSTIM, Sciences Economiques & Sociales de la Santé & Traitement de l'Information Médicale, ISSPAM, Marseille, France
| | - Mazen Noureddin
- Houston Methodist Hospital, Houston Research Institute, Houston, TX, USA
| | - William Alazawi
- Barts Liver Centre, Blizard Institute, Queen Mary University of London, London, UK
| | - Naim Alkhouri
- Fatty Liver Program, Arizona Liver Health, Phoenix, AZ, USA
| | - Saleh A Alqahtani
- King Faisal Specialist Hospital & Research Centre, Riyadh, Saudi Arabia
| | - Marco Arrese
- Department of Gastroenterology, School of Medicine, Pontificia Universidad Católica de Chile, Santiago, Chile
| | - Ramon Bataller
- Liver Unit, Hospital Clínic, University of Barcelona, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
| | - Thomas Berg
- Division of Hepatology, Department of Medicine II, Leipzig University Medical Center, Leipzig, Germany
| | - Paul N Brennan
- Division of Hepatology, University of Dundee, Dundee, Scotland, UK
| | - Patrizia Burra
- Multivisceral Transplant Unit-Gastroenterology, Department of Surgery, Oncology and Gastroenterology at the Padua University Hospital, Padua, Italy
| | - Graciela E Castro-Narro
- Department of Hepatology and Transplant, Hospital Médica Sur, Mexico City, Mexico; Department of Gastroenterology, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico; Asociación Latinoamericana para el Estudio del Hígado (ALEH), Santiago, Chile
| | - Helena Cortez-Pinto
- Clinica Universitária de Gastrenterologia, Laboratório de Nutrição, Faculdade de Medicina, Universidade de Lisboa, Lisbon, Portugal
| | - Kenneth Cusi
- Division of Endocrinology, Diabetes & Metabolism, Department of Medicine, University of Florida, Gainesville, FL, USA
| | | | - Ajay Duseja
- Department of Hepatology, Postgraduate Institute of Medical Education and Research, Chandigarh, India
| | - Sven M Francque
- Department of Gastroenterology and Hepatology, Antwerp University Hospital, Edegem, Belgium; InflaMed Centre of Excellence, Laboratory for Experimental Medicine and Paediatrics, Translational Sciences in Inflammation and Immunology, Faculty of Medicine and Health Sciences, University of Antwerp, Wilrijk, Belgium
| | - Hannes Hagström
- Department of Medicine, Huddinge, Karolinska Institutet, Stockholm, Sweden
| | - Terry T-K Huang
- CUNY Graduate School of Public Health and Health Policy (CUNY SPH), New York, NY, USA; CUNY Center for Systems and Community Design and NYU-CUNY Prevention Research Center, New York, NY, USA
| | - Dana Ivancovsky Wajcman
- Barcelona Institute for Global Health (ISGlobal), Hospital Clínic, University of Barcelona, Barcelona, Spain
| | | | | | - Aleksander Krag
- Department of Gastroenterology and Hepatology, Odense University Hospital, Odense, Denmark
| | - Veronica Miller
- University California Berkeley School of Public Health, Berkeley, CA, USA
| | - Philip N Newsome
- National Institute for Health Research Birmingham Biomedical Research Centre at University Hospitals Birmingham NHS Foundation Trust and the University of Birmingham, Birmingham, UK
| | - Mary E Rinella
- Department of Medicine, University of Chicago, Chicago, IL, USA
| | - Diana Romero
- Department of Community Health and Social Sciences, CUNY Graduate School of Public Health and Health Policy, New York, NY, USA
| | - Shiv Kumar Sarin
- Department of Hepatology, Institute of Liver and Biliary Sciences, New Delhi, India
| | - Marcelo Silva
- Hepatology and Clinical Research Units, Hospital Universitario Austral, Buenos Aires, Argentina
| | - C Wendy Spearman
- Division of Hepatology, Department of Medicine, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa
| | | | - Luca Valenti
- Precision Medicine, Biological Resource Center, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy; Department of Pathophysiology and Transplantation, University of Milan, Milan, Italy
| | - Marcela Villota-Rivas
- Barcelona Institute for Global Health (ISGlobal), Hospital Clínic, University of Barcelona, Barcelona, Spain
| | - Shira Zelber-Sagi
- School of Public Health, Faculty of Social Welfare and Health Sciences, University of Haifa, Haifa, Israel; Department of Gastroenterology, Tel Aviv Medical Centre, Tel Aviv, Israel
| | - Jörn M Schattenberg
- Metabolic Liver Research Program, I. Department of Medicine, University Medical Centre Mainz, Mainz, Germany
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Tan HC, Shumbayawonda E, Beyer C, Cheng LTE, Low A, Lim CH, Eng A, Chan WH, Lee PC, Tay MF, Kin S, Chang JPE, Bee YM, Goh GBB. Multiparametric Magnetic Resonance Imaging and Magnetic Resonance Elastography to Evaluate the Early Effects of Bariatric Surgery on Nonalcoholic Fatty Liver Disease. Int J Biomed Imaging 2023; 2023:4228321. [PMID: 37521027 PMCID: PMC10372298 DOI: 10.1155/2023/4228321] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2023] [Revised: 07/05/2023] [Accepted: 07/08/2023] [Indexed: 08/01/2023] Open
Abstract
Background Bariatric surgery is the most effective treatment for morbid obesity and reduces the severity of nonalcoholic fatty liver disease (NAFLD) in the long term. Less is known about the effects of bariatric surgery on liver fat, inflammation, and fibrosis during the early stages following bariatric surgery. Aims This exploratory study utilises advanced imaging methods to investigate NAFLD and fibrosis changes during the early metabolic transitional period following bariatric surgery. Methods Nine participants with morbid obesity underwent sleeve gastrectomy. Multiparametric MRI (mpMRI) and magnetic resonance elastography (MRE) were performed at baseline, during the immediate (1 month), and late (6 months) postsurgery period. Liver fat was measured using proton density fat fraction (PDFF), disease activity using iron-correct T1 (cT1), and liver stiffness using MRE. Repeated measured ANOVA was used to assess longitudinal changes and Dunnett's method for multiple comparisons. Results All participants (Age 45.1 ± 9.0 years, BMI 39.7 ± 5.3 kg/m2) had elevated hepatic steatosis at baseline (PDFF >5%). In the immediate postsurgery period, PDFF decreased significantly from 14.1 ± 7.4% to 8.9 ± 4.4% (p = 0.016) and cT1 from 826.9 ± 80.6 ms to 768.4 ± 50.9 ms (p = 0.047). These improvements continued to the later postsurgery period. Bariatric surgery did not reduce liver stiffness measurements. Conclusion Our findings support using MRI as a noninvasive tool to monitor NAFLD in patient with morbid obesity during the early stages following bariatric surgery.
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Affiliation(s)
| | | | | | | | | | | | - Alvin Eng
- Singapore General Hospital, Singapore
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Low G, Ferguson C, Locas S, Tu W, Manolea F, Sam M, Wilson MP. Multiparametric MR assessment of liver fat, iron, and fibrosis: a concise overview of the liver "Triple Screen". Abdom Radiol (NY) 2023; 48:2060-2073. [PMID: 37041393 DOI: 10.1007/s00261-023-03887-0] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2023] [Revised: 03/12/2023] [Accepted: 03/13/2023] [Indexed: 04/13/2023]
Abstract
Chronic liver disease (CLD) is a common source of morbidity and mortality worldwide. Non-alcoholic fatty liver disease (NAFLD) serves as a major cause of CLD with a rising annual prevalence. Additionally, iron overload can be both a cause and effect of CLD with a negative synergistic effect when combined with NAFLD. The development of state-of-the-art multiparametric MR solutions has led to a change in the diagnostic paradigm in CLD, shifting from traditional liver biopsy to innovative non-invasive methods for providing accurate and reliable detection and quantification of the disease burden. Novel imaging biomarkers such as MRI-PDFF for fat, R2 and R2* for iron, and liver stiffness for fibrosis provide important information for diagnosis, surveillance, risk stratification, and treatment. In this article, we provide a concise overview of the MR concepts and techniques involved in the detection and quantification of liver fat, iron, and fibrosis including their relative strengths and limitations and discuss a practical abbreviated MR protocol for clinical use that integrates these three MR biomarkers into a single simplified MR assessment. Multiparametric MR techniques provide accurate and reliable non-invasive detection and quantification of liver fat, iron, and fibrosis. These techniques can be combined in a single abbreviated MR "Triple Screen" assessment to offer a more complete metabolic imaging profile of CLD.
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Affiliation(s)
- Gavin Low
- Department of Radiology and Diagnostic Imaging, University of Alberta Hospital, WMC 2B2.41 8440-112 ST, Edmonton, AB, T6G2B7, Canada
| | - Craig Ferguson
- Department of Radiology and Diagnostic Imaging, University of Alberta Hospital, WMC 2B2.41 8440-112 ST, Edmonton, AB, T6G2B7, Canada
| | - Stephanie Locas
- Department of Radiology and Diagnostic Imaging, University of Alberta Hospital, WMC 2B2.41 8440-112 ST, Edmonton, AB, T6G2B7, Canada
| | - Wendy Tu
- Department of Radiology and Diagnostic Imaging, University of Alberta Hospital, WMC 2B2.41 8440-112 ST, Edmonton, AB, T6G2B7, Canada
| | - Florin Manolea
- Department of Radiology and Diagnostic Imaging, University of Alberta Hospital, WMC 2B2.41 8440-112 ST, Edmonton, AB, T6G2B7, Canada
| | - Medica Sam
- Department of Radiology and Diagnostic Imaging, University of Alberta Hospital, WMC 2B2.41 8440-112 ST, Edmonton, AB, T6G2B7, Canada
| | - Mitchell P Wilson
- Department of Radiology and Diagnostic Imaging, University of Alberta Hospital, WMC 2B2.41 8440-112 ST, Edmonton, AB, T6G2B7, Canada.
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18
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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: 3] [Impact Index Per Article: 1.5] [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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19
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Harrison SA, Allen AM, Dubourg J, Noureddin M, Alkhouri N. Challenges and opportunities in NASH drug development. Nat Med 2023; 29:562-573. [PMID: 36894650 DOI: 10.1038/s41591-023-02242-6] [Citation(s) in RCA: 170] [Impact Index Per Article: 85.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2022] [Accepted: 12/20/2022] [Indexed: 03/11/2023]
Abstract
Nonalcoholic fatty liver disease (NAFLD) and its more severe form, nonalcoholic steatohepatitis (NASH), represent a growing worldwide epidemic and a high unmet medical need, as no licensed drugs have been approved thus far. Currently, histopathological assessment of liver biopsies is mandatory as a primary endpoint for conditional drug approval. This requirement represents one of the main challenges in the field, as there is substantial variability in this invasive histopathological assessment, which leads to dramatically high screen-failure rates in clinical trials. Over the past decades, several non-invasive tests have been developed to correlate with liver histology and, eventually, outcomes to assess disease severity and longitudinal changes non-invasively. However, further data are needed to ensure their endorsement by regulatory authorities as alternatives to histological endpoints in phase 3 trials. This Review describes the challenges of drug development in NAFLD-NASH trials and potential mitigating strategies to move the field forward.
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Affiliation(s)
| | - Alina M Allen
- Division of Gastroenterology and Hepatology, Mayo Clinic Rochester, Rochester, MN, USA
| | | | | | - Naim Alkhouri
- Department of Hepatology, Arizona Liver Health, Chandler, AZ, USA
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20
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Yip TCF, Lyu F, Lin H, Li G, Yuen PC, Wong VWS, Wong GLH. Non-invasive biomarkers for liver inflammation in non-alcoholic fatty liver disease: present and future. Clin Mol Hepatol 2023; 29:S171-S183. [PMID: 36503204 PMCID: PMC10029958 DOI: 10.3350/cmh.2022.0426] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/29/2022] [Revised: 12/05/2022] [Accepted: 12/06/2022] [Indexed: 12/14/2022] Open
Abstract
Inflammation is the key driver of liver fibrosis progression in non-alcoholic fatty liver disease (NAFLD). Unfortunately, it is often challenging to assess inflammation in NAFLD due to its dynamic nature and poor correlation with liver biochemical markers. Liver histology keeps its role as the standard tool, yet it is well-known for substantial sampling, intraobserver, and interobserver variability. Serum proinflammatory cytokines and apoptotic markers, namely cytokeratin-18, are well-studied with reasonable accuracy, whereas serum metabolomics and lipidomics have been adopted in some commercially available diagnostic models. Ultrasound and computed tomography imaging techniques are attractive due to their wide availability; yet their accuracies may not be comparable with magnetic resonance imaging-based tools. Machine learning and deep learning models, be they supervised or unsupervised learning, are promising tools to identify various subtypes of NAFLD, including those with dominating liver inflammation, contributing to sustainable care pathways for NAFLD.
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Affiliation(s)
- Terry Cheuk-Fung Yip
- Medical Data Analytic Centre, Prince of Wales Hospital and the University is The Chinese University of Hong Kong, Hong Kong, China
- Department of Medicine and Therapeutics, Prince of Wales Hospital and the University is The Chinese University of Hong Kong, Hong Kong, China
- Institute of Digestive Disease, Prince of Wales Hospital and the University is The Chinese University of Hong Kong, Hong Kong, China
| | - Fei Lyu
- Department of Computer Science, Hong Kong Baptist University, Hong Kong, China
| | - Huapeng Lin
- Medical Data Analytic Centre, Prince of Wales Hospital and the University is The Chinese University of Hong Kong, Hong Kong, China
- Department of Medicine and Therapeutics, Prince of Wales Hospital and the University is The Chinese University of Hong Kong, Hong Kong, China
- Institute of Digestive Disease, Prince of Wales Hospital and the University is The Chinese University of Hong Kong, Hong Kong, China
| | - Guanlin Li
- Medical Data Analytic Centre, Prince of Wales Hospital and the University is The Chinese University of Hong Kong, Hong Kong, China
- Department of Medicine and Therapeutics, Prince of Wales Hospital and the University is The Chinese University of Hong Kong, Hong Kong, China
- Institute of Digestive Disease, Prince of Wales Hospital and the University is The Chinese University of Hong Kong, Hong Kong, China
| | - Pong-Chi Yuen
- Department of Computer Science, Hong Kong Baptist University, Hong Kong, China
| | - Vincent Wai-Sun Wong
- Medical Data Analytic Centre, Prince of Wales Hospital and the University is The Chinese University of Hong Kong, Hong Kong, China
- Department of Medicine and Therapeutics, Prince of Wales Hospital and the University is The Chinese University of Hong Kong, Hong Kong, China
- Institute of Digestive Disease, Prince of Wales Hospital and the University is The Chinese University of Hong Kong, Hong Kong, China
| | - Grace Lai-Hung Wong
- Medical Data Analytic Centre, Prince of Wales Hospital and the University is The Chinese University of Hong Kong, Hong Kong, China
- Department of Medicine and Therapeutics, Prince of Wales Hospital and the University is The Chinese University of Hong Kong, Hong Kong, China
- Institute of Digestive Disease, Prince of Wales Hospital and the University is The Chinese University of Hong Kong, Hong Kong, China
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21
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Andersson A, Kelly M, Imajo K, Nakajima A, Fallowfield JA, Hirschfield G, Pavlides M, Sanyal AJ, Noureddin M, Banerjee R, Dennis A, Harrison S. Clinical Utility of Magnetic Resonance Imaging Biomarkers for Identifying Nonalcoholic Steatohepatitis Patients at High Risk of Progression: A Multicenter Pooled Data and Meta-Analysis. Clin Gastroenterol Hepatol 2022; 20:2451-2461.e3. [PMID: 34626833 DOI: 10.1016/j.cgh.2021.09.041] [Citation(s) in RCA: 59] [Impact Index Per Article: 19.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/26/2021] [Revised: 09/22/2021] [Accepted: 09/28/2021] [Indexed: 02/07/2023]
Abstract
BACKGROUND & AIMS Nonalcoholic fatty liver disease (NAFLD) is increasing in prevalence worldwide. NAFLD is associated with excess risk of all-cause mortality, and its progression to nonalcoholic steatohepatitis (NASH) and fibrosis accounts for a growing proportion of cirrhosis and hepatocellular cancer and thus is a leading cause of liver transplant worldwide. Noninvasive precise methods to identify patients with NASH and NASH with significant disease activity and fibrosis are crucial when the disease is still modifiable. The aim of this study was to examine the clinical utility of corrected T1 (cT1) vs magnetic resonance imaging (MRI) liver fat for identification of NASH participants with nonalcoholic fatty liver disease activity score ≥4 and fibrosis stage (F) ≥2 (high-risk NASH). METHODS Data from five clinical studies (n = 543) with participants suspected of NAFLD were pooled or used for individual participant data meta-analysis. The diagnostic accuracy of the MRI biomarkers to stratify NASH patients was determined using the area under the receiver operating characteristic curve (AUROC). RESULTS A stepwise increase in cT1 and MRI liver fat with increased NAFLD severity was shown, and cT1 was significantly higher in participants with high-risk NASH. The diagnostic accuracy (AUROC) of cT1 to identify patients with NASH was 0.78 (95% CI, 0.74-0.82), for liver fat was 0.78 (95% CI, 0.73-0.82), and when combined with MRI liver fat was 0.82 (95% CI, 0.78-0.85). The diagnostic accuracy of cT1 to identify patients with high-risk NASH was good (AUROC = 0.78; 95% CI, 0.74-0.82), was superior to MRI liver fat (AUROC = 0.69; 95% CI, 0.64-0.74), and was not substantially improved by combining it with MRI liver fat (AUROC = 0.79; 95% CI, 0.75-0.83). The meta-analysis showed similar performance to the pooled analysis for these biomarkers. CONCLUSIONS This study shows that quantitative MRI-derived biomarkers cT1 and liver fat are suitable for identifying patients with NASH, and cT1 is a better noninvasive technology than liver fat to identify NASH patients at greatest risk of disease progression. Therefore, MRI cT1 and liver fat have important clinical utility to help guide the appropriate use of interventions in NAFLD and NASH clinical care pathways.
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Affiliation(s)
| | - Matt Kelly
- Perspectum Ltd, Gemini One, Oxford, United Kingdom
| | - Kento Imajo
- Department of Gastroenterology and Hepatology, Yokohama City School of Medicine, Yokohama, Japan
| | - Atsushi Nakajima
- Department of Gastroenterology and Hepatology, Yokohama City School of Medicine, Yokohama, Japan
| | | | - Gideon Hirschfield
- Toronto Centre for Liver Disease, University Health Network, Toronto, Ontario, Canada
| | - Michael Pavlides
- Division of Cardiovascular Medicine, Radcliffe Department of Medicine, John Radcliffe Hospital, Oxford, United Kingdom; Translational Gastroenterology Unit, John Radcliffe Hospital, Oxford, United Kingdom; National Institute for Health Research (NIHR) Biomedical Research Centre, University of Oxford, Oxford, United Kingdom
| | - Arun J Sanyal
- Department of Internal Medicine, Virginia Commonwealth University School of Medicine, Richmond, Virgina
| | - Mazen Noureddin
- Karsh Division of Gastroenterology and Hepatology, Comprehensive Transplant Center, Cedars Sinai Medical Center, Los Angeles, California
| | | | | | - Stephen Harrison
- Division of Cardiovascular Medicine, Radcliffe Department of Medicine, John Radcliffe Hospital, Oxford, United Kingdom
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22
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Julià H, Benaiges D, Pedro-Botet J. Bariatric surgery and non-alcoholic fatty liver disease. Med Clin (Barc) 2022; 158:550-555. [PMID: 35120767 DOI: 10.1016/j.medcli.2021.12.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2021] [Revised: 12/05/2021] [Accepted: 12/07/2021] [Indexed: 02/07/2023]
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23
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Pepin KM, Welle CL, Guglielmo FF, Dillman JR, Venkatesh SK. Magnetic resonance elastography of the liver: everything you need to know to get started. Abdom Radiol (NY) 2022; 47:94-114. [PMID: 34725719 PMCID: PMC9538666 DOI: 10.1007/s00261-021-03324-0] [Citation(s) in RCA: 34] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2021] [Revised: 10/17/2021] [Accepted: 10/18/2021] [Indexed: 12/17/2022]
Abstract
Magnetic resonance elastography (MRE) of the liver has emerged as the non-invasive standard for the evaluation of liver fibrosis in chronic liver diseases (CLDs). The utility of MRE in the evaluation of different CLD in both adults and children has been demonstrated in several studies, and MRE has been recommended by several clinical societies. Consequently, the clinical indications for evaluation of CLD with MRE have increased, and MRE is currently used as an add-on test during routine liver MRI studies or as a standalone test. To meet the increasing clinical demand, MRE is being installed in many academic and private practice imaging centers. There is a need for a comprehensive practical guide to help these practices to deliver high-quality liver MRE studies as well as troubleshoot the common issues with MRE to ensure smooth running of the service. This comprehensive clinical practice review summarizes the indications and provides an overview on why to use MRE, technical requirements, system set-up, patient preparation, acquiring the data, and interpretation.
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Affiliation(s)
- Kay M Pepin
- Department of Radiology, Mayo Clinic, 200 First Street SW, Rochester, MN, USA
- Resoundant Inc, Rochester, MN, USA
| | - Christopher L Welle
- Department of Radiology, Mayo Clinic, 200 First Street SW, Rochester, MN, USA
| | | | - Jonathan R Dillman
- Department of Radiology, Cincinnati Children's Hospital Medical Center, University of Cincinnati College of Medicine, Cincinnati, OH, USA
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24
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Sarkar S, Matsukuma KE, Spencer B, Chen S, Olson KA, Badawi RD, Corwin MT, Wang G. Dynamic Positron Emission Tomography/Computed Tomography Imaging Correlate of Nonalcoholic Steatohepatitis. Clin Gastroenterol Hepatol 2021; 19:2441-2443. [PMID: 33075553 PMCID: PMC10096050 DOI: 10.1016/j.cgh.2020.10.029] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/01/2020] [Revised: 10/12/2020] [Accepted: 10/13/2020] [Indexed: 02/07/2023]
Abstract
Nonalcoholic steatohepatitis (NASH) is a severe form of nonalcoholic fatty liver disease characterized by lobular inflammation and hepatocyte injury and is a key determinant of clinical outcome.1 Liver biopsy remains the gold standard for diagnosis but is limited by risks of the procedure and interobserver variability. Although magnetic resonance imaging (MRI)-based technology may provide novel means to identify NASH,2 there remains a significant need for other modalities to diagnose NASH noninvasively. Glucose transport, an integral tissue process altered in NASH,3 is measurable with 18F-fluorodeoxyglucose positron emission tomography (FDG PET). Because unenhanced computed tomography (CT) scan can detect hepatic steatosis quite reliably,4 and PET combines unenhanced CT for attenuation correction, we hypothesized that measurement of the combination of glucose transport by PET and steatosis by CT could yield a reliable radiologic correlate of NASH.
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Affiliation(s)
- Souvik Sarkar
- Division of Gastroenterology and Hepatology, Department of Internal Medicine, University of California, Davis, Sacramento, California.
| | - Karen E Matsukuma
- Department of Pathology and Laboratory Medicine, University of California, Davis, Sacramento, California
| | - Benjamin Spencer
- Department of Radiology, University of California, Davis, Sacramento, California
| | - Shuai Chen
- Division of Biostatistics, Department of Public Health Sciences, University of California, Davis, Sacramento, California
| | - Kristin A Olson
- Department of Pathology and Laboratory Medicine, University of California, Davis, Sacramento, California
| | - Ramsey D Badawi
- Department of Radiology, University of California, Davis, Sacramento, California
| | - Michael T Corwin
- Department of Radiology, University of California, Davis, Sacramento, California
| | - Guobao Wang
- Department of Radiology, University of California, Davis, Sacramento, California.
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25
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Qu Y, Middleton MS, Loomba R, Glaser KJ, Chen J, Hooker JC, Wolfson T, Covarrubias Y, Valasek MA, Fowler KJ, Zhang YN, Sy E, Gamst AC, Wang K, Mamidipalli A, Schwimmer JB, Song B, Reeder SB, Yin M, Ehman RL, Sirlin CB. Magnetic resonance elastography biomarkers for detection of histologic alterations in nonalcoholic fatty liver disease in the absence of fibrosis. Eur Radiol 2021; 31:8408-8419. [PMID: 33899143 PMCID: PMC8530863 DOI: 10.1007/s00330-021-07988-6] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2020] [Revised: 03/25/2021] [Accepted: 04/02/2021] [Indexed: 02/05/2023]
Abstract
OBJECTIVES To investigate associations between histology and hepatic mechanical properties measured using multiparametric magnetic resonance elastography (MRE) in adults with known or suspected nonalcoholic fatty liver disease (NAFLD) without histologic fibrosis. METHODS This was a retrospective analysis of 88 adults who underwent 3T MR exams including hepatic MRE and MR imaging to estimate proton density fat fraction (MRI-PDFF) within 180 days of liver biopsy. Associations between MRE mechanical properties (mean shear stiffness (|G*|) by 2D and 3D MRE, and storage modulus (G'), loss modulus (G″), wave attenuation (α), and damping ratio (ζ) by 3D MRE) and histologic, demographic and anthropometric data were assessed. RESULTS In univariate analyses, patients with lobular inflammation grade ≥ 2 had higher 2D |G*| and 3D G″ than those with grade ≤ 1 (p = 0.04). |G*| (both 2D and 3D), G', and G″ increased with age (rho = 0.25 to 0.31; p ≤ 0.03). In multivariable regression analyses, the association between inflammation grade ≥ 2 remained significant for 2D |G*| (p = 0.01) but not for 3D G″ (p = 0.06); age, sex, or BMI did not affect the MRE-inflammation relationship (p > 0.20). CONCLUSIONS 2D |G*| and 3D G″ were weakly associated with moderate or severe lobular inflammation in patients with known or suspected NAFLD without fibrosis. With further validation and refinement, these properties might become useful biomarkers of inflammation. Age adjustment may help MRE interpretation, at least in patients with early-stage disease. KEY POINTS • Moderate to severe lobular inflammation was associated with hepatic elevated shear stiffness and elevated loss modulus (p =0.04) in patients with known or suspected NAFLD without liver fibrosis; this suggests that with further technical refinement these MRE-assessed mechanical properties may permit detection of inflammation before the onset of fibrosis in NAFLD. • Increasing age is associated with higher hepatic shear stiffness, and storage and loss moduli (rho = 0.25 to 0.31; p ≤ 0.03); this suggests that age adjustment may help interpret MRE results, at least in patients with early-stage NAFLD.
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Affiliation(s)
- Yali Qu
- Department of Radiology, West China Hospital of Sichuan University, Chengdu, Sichuan, China
- Liver Imaging Group, Department of Radiology, University of California at San Diego, La Jolla, CA, 92093-0888, USA
| | - Michael S Middleton
- Liver Imaging Group, Department of Radiology, University of California at San Diego, La Jolla, CA, 92093-0888, USA
| | - Rohit Loomba
- NAFLD Research Center, Division of Gastroenterology, Department of Medicine, University of California at San Diego, La Jolla, CA, USA
- Department of Family Medicine and Public Health, University of California at San Diego, La Jolla, CA, USA
| | - Kevin J Glaser
- Department of Radiology, Mayo Clinic, Rochester, MN, USA
| | - Jun Chen
- Department of Radiology, Mayo Clinic, Rochester, MN, USA
| | - Jonathan C Hooker
- Liver Imaging Group, Department of Radiology, University of California at San Diego, La Jolla, CA, 92093-0888, USA
| | - Tanya Wolfson
- Computational and Applied Statistics Laboratory, the San Diego Supercomputer Center, University of California at San Diego, La Jolla, CA, USA
| | - Yesenia Covarrubias
- Liver Imaging Group, Department of Radiology, University of California at San Diego, La Jolla, CA, 92093-0888, USA
| | - Mark A Valasek
- Department of Pathology, University of California San Diego, La Jolla, CA, USA
| | - Kathryn J Fowler
- Liver Imaging Group, Department of Radiology, University of California at San Diego, La Jolla, CA, 92093-0888, USA
| | - Yingzhen N Zhang
- Liver Imaging Group, Department of Radiology, University of California at San Diego, La Jolla, CA, 92093-0888, USA
| | - Ethan Sy
- Liver Imaging Group, Department of Radiology, University of California at San Diego, La Jolla, CA, 92093-0888, USA
| | - Anthony C Gamst
- Computational and Applied Statistics Laboratory, the San Diego Supercomputer Center, University of California at San Diego, La Jolla, CA, USA
| | - Kang Wang
- Liver Imaging Group, Department of Radiology, University of California at San Diego, La Jolla, CA, 92093-0888, USA
| | - Adrija Mamidipalli
- Liver Imaging Group, Department of Radiology, University of California at San Diego, La Jolla, CA, 92093-0888, USA
| | - Jeffrey B Schwimmer
- Division of Gastroenterology, Hepatology, and Nutrition, Department of Pediatrics, University of California at San Diego, La Jolla, CA, USA
- Department of Gastroenterology, Rady Children's Hospital San Diego, San Diego, CA, USA
| | - Bin Song
- Department of Radiology, West China Hospital of Sichuan University, Chengdu, Sichuan, China
| | - Scott B Reeder
- Departments of Radiology, Medical Physics, Biomedical Engineering, Medicine, and Emergency Medicine, University of Wisconsin, Madison, WI, USA
| | - Meng Yin
- Department of Radiology, Mayo Clinic, Rochester, MN, USA
| | | | - Claude B Sirlin
- Liver Imaging Group, Department of Radiology, University of California at San Diego, La Jolla, CA, 92093-0888, USA.
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Nawrot M, Peschard S, Lestavel S, Staels B. Intestine-liver crosstalk in Type 2 Diabetes and non-alcoholic fatty liver disease. Metabolism 2021; 123:154844. [PMID: 34343577 DOI: 10.1016/j.metabol.2021.154844] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/19/2021] [Revised: 07/28/2021] [Accepted: 07/29/2021] [Indexed: 02/08/2023]
Abstract
Type 2 diabetes (T2D) and Non-Alcoholic Fatty Liver Disease (NAFLD) are pathologies whose prevalence continues to increase worldwide. Both diseases are precipitated by an excessive caloric intake, which promotes insulin resistance and fatty liver. The role of the intestine and its crosstalk with the liver in the development of these metabolic diseases is receiving increasing attention. Alterations in diet-intestinal microbiota interactions lead to the dysregulation of intestinal functions, resulting in altered metabolite and energy substrate production and increased intestinal permeability. Connected through the portal circulation, these changes in intestinal functions impact the liver and other metabolic organs, such as visceral adipose tissue, hence participating in the development of insulin resistance, and worsening T2D and NAFLD. Thus, targeting the intestine may be an efficient therapeutic approach to cure T2D and NAFLD. In this review, we will first introduce the signaling pathways linking T2D and NAFLD. Next, we will address the role of the gut-liver crosstalk in the development of T2D and NAFLD, with a particular focus on the gut microbiota and the molecular pathways behind the increased intestinal permeability and inflammation. Finally, we will summarize the therapeutic strategies which target the gut and its functions and are currently used or under development to treat T2D and NAFLD.
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Affiliation(s)
- Margaux Nawrot
- Univ. Lille, Inserm, CHU Lille, Institut Pasteur de Lille, U1011- EGID, F-59000 Lille, France
| | - Simon Peschard
- Univ. Lille, Inserm, CHU Lille, Institut Pasteur de Lille, U1011- EGID, F-59000 Lille, France
| | - Sophie Lestavel
- Univ. Lille, Inserm, CHU Lille, Institut Pasteur de Lille, U1011- EGID, F-59000 Lille, France
| | - Bart Staels
- Univ. Lille, Inserm, CHU Lille, Institut Pasteur de Lille, U1011- EGID, F-59000 Lille, France.
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27
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Nakao Y, Amrollahi P, Parthasarathy G, Mauer AS, Sehrawat TS, Vanderboom P, Nair KS, Nakao K, Allen AM, Hu TY, Malhi H. Circulating extracellular vesicles are a biomarker for NAFLD resolution and response to weight loss surgery. NANOMEDICINE-NANOTECHNOLOGY BIOLOGY AND MEDICINE 2021; 36:102430. [PMID: 34174416 DOI: 10.1016/j.nano.2021.102430] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/26/2021] [Revised: 04/29/2021] [Accepted: 05/26/2021] [Indexed: 12/18/2022]
Abstract
There is increasing interest in the development of minimally invasive biomarkers for the diagnosis and prognosis of NAFLD via extracellular vesicles (EV). Plasma EVs were isolated by differential ultracentrifugation and quantified by nanoparticle tracking analysis from pre (n = 28) and post (n = 28) weight loss patients. In the pre weight loss group 22 had NAFLD. Nanoplasmon enhanced scattering (nPES) of gold nanoparticles conjugated to hepatocyte-specific antibodies was employed to identify hepatocyte-specific EVs. Complex lipid panel and targeted sphingolipids were performed. Logistic regression analysis was used to identify predictors of NAFLD. Plasma levels of EVs and hepatocyte-derived EVs are dynamic and decrease following NAFLD resolution due to weight loss surgery. Hepatocyte-derived EVs correlate with steatosis in NAFLD patients and steatosis and inflammation in NASH patients. Plasma levels of small EVs correlate with EV sphingolipids in patients with NASH. Hepatocyte-derived EVs measured by the nPES assay could serve as a point-of-care test for NAFLD.
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Affiliation(s)
- Yasuhiko Nakao
- Division of Gastroenterology and Hepatology, Mayo Clinic, Rochester, MN; Department of Gastroenterology and Hepatology, Graduate School of Biomedical Sciences, Nagasaki University, Nagasaki, Japan
| | - Pouya Amrollahi
- Virginia G. Piper Biodesign Center for Personalized Diagnostics, The Biodesign Institute, Arizona State University, Tempe, AZ, USA; School of Biological and Health Systems Engineering, Arizona State University, Tempe, AZ, USA
| | | | - Amy S Mauer
- Division of Gastroenterology and Hepatology, Mayo Clinic, Rochester, MN
| | | | | | | | - Kazuhiko Nakao
- Department of Gastroenterology and Hepatology, Graduate School of Biomedical Sciences, Nagasaki University, Nagasaki, Japan
| | - Alina M Allen
- Division of Gastroenterology and Hepatology, Mayo Clinic, Rochester, MN
| | - Tony Y Hu
- Virginia G. Piper Biodesign Center for Personalized Diagnostics, The Biodesign Institute, Arizona State University, Tempe, AZ, USA; School of Biological and Health Systems Engineering, Arizona State University, Tempe, AZ, USA.
| | - Harmeet Malhi
- Division of Gastroenterology and Hepatology, Mayo Clinic, Rochester, MN.
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28
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Moura Cunha G, Navin PJ, Fowler KJ, Venkatesh SK, Ehman RL, Sirlin CB. Quantitative magnetic resonance imaging for chronic liver disease. Br J Radiol 2021; 94:20201377. [PMID: 33635729 DOI: 10.1259/bjr.20201377] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022] Open
Abstract
Chronic liver disease (CLD) has rapidly increased in prevalence over the past two decades, resulting in significant morbidity and mortality worldwide. Historically, the clinical gold standard for diagnosis, assessment of severity, and longitudinal monitoring of CLD has been liver biopsy with histological analysis, but this approach has limitations that may make it suboptimal for clinical and research settings. Magnetic resonance (MR)-based biomarkers can overcome the limitations by allowing accurate, precise, and quantitative assessment of key components of CLD without the risk of invasive procedures. This review briefly describes the limitations associated with liver biopsy and the need for non-invasive biomarkers. It then discusses the current state-of-the-art for MRI-based biomarkers of liver iron, fat, and fibrosis, and inflammation.
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Affiliation(s)
- Guilherme Moura Cunha
- Department of Radiology, Liver Imaging Group, University of California San Diego, San Diego, CA, USA
| | | | - Kathryn J Fowler
- Department of Radiology, Liver Imaging Group, University of California San Diego, San Diego, CA, USA
| | | | | | - Claude B Sirlin
- Department of Radiology, Liver Imaging Group, University of California San Diego, San Diego, CA, USA
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29
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Peng C, Stewart AG, Woodman OL, Ritchie RH, Qin CX. Non-Alcoholic Steatohepatitis: A Review of Its Mechanism, Models and Medical Treatments. Front Pharmacol 2020; 11:603926. [PMID: 33343375 PMCID: PMC7745178 DOI: 10.3389/fphar.2020.603926] [Citation(s) in RCA: 144] [Impact Index Per Article: 28.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2020] [Accepted: 10/19/2020] [Indexed: 12/11/2022] Open
Abstract
Non-alcoholic steatohepatitis (NASH) develops from non-alcoholic fatty liver disease (NAFLD). Currently, around 25% of the population is estimated to have NAFLD, and 25% of NAFLD patients are estimated to have NASH. NASH is typically characterized by liver steatosis inflammation, and fibrosis driven by metabolic disruptions such as obesity, diabetes, and dyslipidemia. NASH patients with significant fibrosis have increased risk of developing cirrhosis and liver failure. Currently, NASH is the second leading cause for liver transplant in the United States. More importantly, the risk of developing hepatocellular carcinoma from NASH has also been highlighted in recent studies. Patients may have NAFLD for years before progressing into NASH. Although the pathogenesis of NASH is not completely understood, the current “multiple-hits” hypothesis suggests that in addition to fat accumulation, elevated oxidative and ER stress may also drive liver inflammation and fibrosis. The development of clinically relevant animal models and pharmacological treatments for NASH have been hampered by the limited understanding of the disease mechanism and a lack of sensitive, non-invasive diagnostic tools. Currently, most pre-clinical animal models are divided into three main groups which includes: genetic models, diet-induced, and toxin + diet-induced animal models. Although dietary models mimic the natural course of NASH in humans, the models often only induce mild liver injury. Many genetic and toxin + diet-induced models rapidly induce the development of metabolic disruption and serious liver injury, but not without their own shortcomings. This review provides an overview of the “multiple-hits” hypothesis and an evaluation of the currently existing animal models of NASH. This review also provides an update on the available interventions for managing NASH as well as pharmacological agents that are currently undergoing clinical trials for the treatment of NASH.
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Affiliation(s)
- Cheng Peng
- Drug Discovery Biology, Monash Institute of Pharmaceutical Sciences, Melbourne, VIC, Australia.,Baker Heart & Diabetes Institute, Melbourne, VIC, Australia.,Department of Pharmacology and Therapeutics, University of Melbourne, Melbourne, VIC, Australia
| | - Alastair G Stewart
- Department of Pharmacology and Therapeutics, University of Melbourne, Melbourne, VIC, Australia.,Australian Research Council, Centre for Personalised Therapeutics Technologies, Lancaster, CBR, Australia
| | - Owen L Woodman
- Drug Discovery Biology, Monash Institute of Pharmaceutical Sciences, Melbourne, VIC, Australia
| | - Rebecca H Ritchie
- Drug Discovery Biology, Monash Institute of Pharmaceutical Sciences, Melbourne, VIC, Australia.,Baker Heart & Diabetes Institute, Melbourne, VIC, Australia.,Department of Pharmacology and Therapeutics, University of Melbourne, Melbourne, VIC, Australia
| | - Cheng Xue Qin
- Drug Discovery Biology, Monash Institute of Pharmaceutical Sciences, Melbourne, VIC, Australia.,Baker Heart & Diabetes Institute, Melbourne, VIC, Australia.,Department of Pharmacology and Therapeutics, University of Melbourne, Melbourne, VIC, Australia
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30
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MR elastography of liver: current status and future perspectives. Abdom Radiol (NY) 2020; 45:3444-3462. [PMID: 32705312 DOI: 10.1007/s00261-020-02656-7] [Citation(s) in RCA: 64] [Impact Index Per Article: 12.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2020] [Revised: 07/06/2020] [Accepted: 07/09/2020] [Indexed: 02/08/2023]
Abstract
Non-invasive evaluation of liver fibrosis has evolved over the last couple of decades. Currently, elastography techniques are the most widely used non-invasive methods for clinical evaluation of chronic liver disease (CLD). MR elastography (MRE) of the liver has been used in the clinical practice for nearly a decade and continues to be widely accepted for detection and staging of liver fibrosis. With MRE, one can directly visualize propagating shear waves through the liver and an inversion algorithm in the scanner automatically converts the shear wave properties into an elastogram (stiffness map) on which liver stiffness can be calculated. The commonly used MRE method, two-dimensional gradient recalled echo (2D-GRE) sequence has produced excellent results in the evaluation of liver fibrosis in CLD from various etiologies and newer clinical indications continue to emerge. Advances in MRE technique, including 3D MRE, automated liver elasticity calculation, improvements in shear wave delivery and patient experience, are promising to provide a faster and more reliable MRE of liver. Innovations, including evaluation of mechanical parameters, such as loss modulus, displacement, and volumetric strain, are promising for comprehensive evaluation of CLD as well as understanding pathophysiology, and in differentiating various etiologies of CLD. In this review, the current status of the MRE of liver in CLD are outlined and followed by a brief description of advanced techniques and innovations in MRE of liver.
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31
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Thomaides-Brears HB, Lepe R, Banerjee R, Duncker C. Multiparametric MR mapping in clinical decision-making for diffuse liver disease. Abdom Radiol (NY) 2020; 45:3507-3522. [PMID: 32761254 PMCID: PMC7593302 DOI: 10.1007/s00261-020-02684-3] [Citation(s) in RCA: 28] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2020] [Revised: 06/12/2020] [Accepted: 07/22/2020] [Indexed: 02/07/2023]
Abstract
Accurate diagnosis, monitoring and treatment decisions in patients with chronic liver disease currently rely on biopsy as the diagnostic gold standard, and this has constrained early detection and management of diseases that are both varied and can be concurrent. Recent developments in multiparametric magnetic resonance imaging (mpMRI) suggest real potential to bridge the diagnostic gap between non-specific blood-based biomarkers and invasive and variable histological diagnosis. This has implications for the clinical care and treatment pathway in a number of chronic liver diseases, such as haemochromatosis, steatohepatitis and autoimmune or viral hepatitis. Here we review the relevant MRI techniques in clinical use and their limitations and describe recent potential applications in various liver diseases. We exemplify case studies that highlight how these techniques can improve clinical practice. These techniques could allow clinicians to increase their arsenals available to utilise on patients and direct appropriate treatments.
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Affiliation(s)
| | - Rita Lepe
- Texas Liver Institute, 607 Camden St, Suite 101, San Antonio, TX, 78215, USA
| | | | - Carlos Duncker
- Perspectum, 600 N. Pearl St. Suite 1960, Plaza of The Americas, Dallas, TX, 75201, USA
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32
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Li J, Venkatesh SK, Yin M. Advances in Magnetic Resonance Elastography of Liver. Magn Reson Imaging Clin N Am 2020; 28:331-340. [PMID: 32624152 DOI: 10.1016/j.mric.2020.03.001] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/09/2023]
Abstract
Magnetic resonance elastography (MRE) is the most accurate noninvasive technique in diagnosing fibrosis and cirrhosis in patients with chronic liver disease (CLD). The accuracy of hepatic MRE in distinguishing the severity of disease has been validated in studies of patients with various CLDs. Advanced hepatic MRE is a reliable, comfortable, and inexpensive alternative to liver biopsy for disease diagnosing, progression monitoring, and clinical decision making in patients with CLDs. This article summarizes current knowledge of the technical advances and innovations in hepatic MRE, and the clinical applications in various hepatic diseases.
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Affiliation(s)
- Jiahui Li
- Department of Radiology, Mayo Clinic, 200 First Street Southwest, Rochester, MN 55905, USA
| | | | - Meng Yin
- Department of Radiology, Mayo Clinic, 200 First Street Southwest, Rochester, MN 55905, USA.
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33
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Cunha GM, Correa de Mello LL, Hasenstab KA, Spina L, Bussade I, Prata Mesiano JM, Coutinho W, Guzman G, Sajoux I. MRI estimated changes in visceral adipose tissue and liver fat fraction in patients with obesity during a very low-calorie-ketogenic diet compared to a standard low-calorie diet. Clin Radiol 2020; 75:526-532. [PMID: 32204895 DOI: 10.1016/j.crad.2020.02.014] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2019] [Accepted: 02/20/2020] [Indexed: 02/07/2023]
Abstract
AIM To compare the changes in visceral adipose tissue (VAT), liver fat fraction, and liver stiffness using quantitative magnetic resonance imaging (MRI) during a very-low-calorie ketogenic (VLCK) diet and a standard low-calorie diet (LC). MATERIALS AND METHODS The study involved secondary analysis of prospective collected clinical data. Patients undergoing weight loss interventions were randomised to either a LC or a VLCK diet. VAT, liver fat fraction, and stiffness were measured at baseline and after 2 months. RESULTS Forty-six patients were included; 39 patients were evaluated at baseline and at 2 months follow-up. Mean weight loss was -9.7±3.8 kg (interquartile range [IQR]: -12.3; -7 kg) in the VLCK group and -1.67±2.2 kg (IQR: -3.3, -0.1 kg) in the LC group (p<0.0001). Mean VAT reductions were -39.3±40 cm2 (IQR: -52, -10 cm2) and -12.5±38.3 cm2 (IQR: -29, 5 cm2; p=0.0398), and mean liver proton density fat fraction (PDFF) reductions were -4.77±4.2% (IQR: -7.3, -1.7%) and -0.79±1.7%, (IQR: -1.8, -0.4%; p<0.005) in the VLCK group and in the LC group, respectively. No significant changes in liver stiffness occurred from baseline to follow-up. CONCLUSION A VLCK diet resulted in greater weight loss than a standard low-calorie diet and in significantly greater reduction in liver PDFF. As anthropometric measurements may not correlate with liver fat changes, it may be advantageous to include quantitative MRI to the monitoring strategies of patients undergoing weight-loss programmes.
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Affiliation(s)
- G M Cunha
- Liver Imaging Group, Radiology, University of California San Diego, California, USA; MRI Department, Clínica de Diagnóstico por Imagem - CDPI/DASA, Rio de Janeiro, Brazil.
| | - L Lugarino Correa de Mello
- Serviço de Obesidade, Transtornos Alimentares e Metabologia (SOTAM), Instituto Estadual de Endocrinologia (IEDE), Rio de Janeiro, Brazil
| | - K A Hasenstab
- Liver Imaging Group, Radiology, University of California San Diego, California, USA
| | - L Spina
- CliniCoop, Rio de Janeiro, Brazil
| | - I Bussade
- Departamento de Pós-Graduação Em Clínica Médica, Pontifícia Universidade Católica (PUC), Rio de Janeiro, Brazil
| | | | - W Coutinho
- Serviço de Obesidade, Transtornos Alimentares e Metabologia (SOTAM), Instituto Estadual de Endocrinologia (IEDE), Rio de Janeiro, Brazil
| | - G Guzman
- Medical Department Pronokal, Barcelona, Spain
| | - I Sajoux
- Medical Department Pronokal, Barcelona, Spain
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34
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Noureddin N, Schattenberg JM, Alkhouri N, Noureddin M. Noninvasive Testing Using Magnetic Resonance Imaging Techniques as Outcomes in Nonalcoholic Steatohepatitis Clinical Trials: How Full Is the Glass? Hepatol Commun 2020; 4:141-144. [PMID: 32025600 PMCID: PMC6996378 DOI: 10.1002/hep4.1473] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/20/2019] [Accepted: 12/03/2019] [Indexed: 12/14/2022] Open
Affiliation(s)
- Nabil Noureddin
- Department of MedicineUniversity of Nevada Las Vegas School of MedicineLas VegasNV
| | - Jörn M. Schattenberg
- Department of MedicineUniversity Medical CentreJohannes Gutenberg UniversityMainzGermany
| | - Naim Alkhouri
- Texas Liver InstituteUniversity of Texas Health Science CenterSan AntonioTX
| | - Mazen Noureddin
- Fatty Liver ProgramDivision of Digestive and Liver DiseasesComprehensive Transplant ProgramCedars Sinai Medical CenterLos AngelesCA
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