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Kim D, Cholankeril G, Ahmed A. Association between Body Fat Distribution and Nonalcoholic Fatty Liver Disease/Fibrosis Based on Race/Ethnicity. J Obes Metab Syndr 2024; 33:326-336. [PMID: 39428122 PMCID: PMC11704218 DOI: 10.7570/jomes24005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/13/2024] [Revised: 05/31/2024] [Accepted: 06/23/2024] [Indexed: 10/22/2024] Open
Abstract
Background Body fat distribution may impact nonalcoholic fatty liver disease (NAFLD) and significant fibrosis differently according to race/ethnicity. We determined the relationship between body fat distribution and NAFLD/significant fibrosis according to race/ethnicity. Methods A cross-sectional study of 2,395 participants used the National Health and Nutrition Examination Survey 2017 to 2018. NAFLD and significant fibrosis (≥F2) were defined by controlled attenuation parameter scores and liver stiffness measurements on transient elastography, respectively. Visceral and subcutaneous fat volumes were defined by dual-energy X-ray absorptiometry. Results The odds ratio (OR) for NAFLD per 1-standard deviation in visceral fat volume and subcutaneous fat volume was 2.05 (95% confidence interval [CI], 1.36 to 3.09) and 1.48 (95% CI, 1.04 to 2.09) in total population, respectively. Visceral fat in non-Hispanic Blacks had the highest odds for NAFLD (OR, 2.86; 95% CI, 1.45 to 5.62), and non-Hispanic Whites (OR, 2.29; 95% CI, 1.19 to 4.40) and non-Hispanic Asians (OR, 1.61; 95% CI, 1.13 to 2.29) were in order. Significant associations between subcutaneous fat volume (OR, 2.10; 95% CI, 1.34 to 3.29; P=0.003) or visceral fat volume (OR, 1.35; 95% CI, 1.05 to 1.73; P=0.023) and significant fibrosis were noted among individuals with NAFLD. Hispanics had the highest odds for NAFLD-associated significant fibrosis (OR, 2.74; 95% CI, 1.32 to 5.70 per 1-standard deviation in subcutaneous fat volume), and non-Hispanic Whites (OR, 2.35; 95% CI, 1.11 to 4.98) and non-Hispanic Asians (OR, 2.01; 95% CI, 1.01 to 4.01) were in order. Conclusion Visceral adiposity was associated with NAFLD and significant fibrosis despite the association of subcutaneous adiposity in NAFLD and significant fibrosis. Racial/ethnic differences in the association between body fat distribution on NAFLD and significant fibrosis were noted.
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Affiliation(s)
- Donghee Kim
- Division of Gastroenterology and Hepatology, Stanford University School of Medicine, Stanford, CA, USA
| | - George Cholankeril
- Section of Gastroenterology and Hepatology, Department of Medicine, Baylor College of Medicine, Houston, TX, USA
| | - Aijaz Ahmed
- Division of Gastroenterology and Hepatology, Stanford University School of Medicine, Stanford, CA, USA
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Liu A, Sun Y, Qi X, Zhou Y, Zhou J, Li Z, Wu X, Zou Z, Lv X, Li H, Li Y. Association between the ratio of serum uric acid to high-density lipoprotein cholesterol and liver fat content: evidence from a Chinese health examination dataset. Sci Rep 2024; 14:31397. [PMID: 39733068 DOI: 10.1038/s41598-024-83013-2] [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: 08/15/2024] [Accepted: 12/10/2024] [Indexed: 12/30/2024] Open
Abstract
Despite numerous studies investigating the correlation between the serum uric acid and high-density lipoprotein cholesterol ratio (UHR) and fatty liver disease, the evidence for the dose-response relationship between UHR and liver fat content (LFC) remains uncertain. This study employs quantitative computed tomography (CT) to quantify LFC and aims to investigate the correlation and dose-response relationship between UHR levels and LFC in Chinese adults. Based on the health check-up data from 2021 at Henan Provincial People's Hospital, China, the objective of this cross-sectional study was to investigate the association between UHR levels and LFC among individuals of different genders. The analytical approach encompassed one-way ANOVA, multiple regression analysis, subgroup analysis, smooth curve fitting, and the evaluation of threshold and saturation effects. Upon adjusting for potential influencing factors, the multiple regression analysis indicated a positive correlation between UHR and LFC in both male and female subjects. This positive correlation was more significant in the highest UHR quartile (Male Q4 in model II: β = 2.119, 95% CI: 1.353-2.886, P < 0.05; Female Q4 in model II: β = 1.312, 95% CI: 0.499-2.124, P < 0.05). Subgroup and threshold saturation effect analyses demonstrated a positive correlation between UHR and LFC in the male population, independent of age, although the linear correlation trend was influenced by different body mass index (BMI) groups. In the female population, age also affected the association between UHR and LFC, with a negative association observed when age ≥ 45 years and UHR > 30.63. A positive association exists between UHR levels and LFC in both genders among Chinese adults, albeit exhibiting variations across different age and BMI groups. Consequently, early monitoring of UHR levels may be crucial for the early detection and intervention in high-risk groups exhibiting increased LFC.
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Affiliation(s)
- Ao Liu
- Department of Medical Imaging, People's Hospital of Zhengzhou University, #7 Wei Wu Road, Zhengzhou, 450003, China
| | - Yongbing Sun
- Department of Medical Imaging, People's Hospital of Zhengzhou University, #7 Wei Wu Road, Zhengzhou, 450003, China
| | - Xin Qi
- Department of Medical Imaging, Henan Provincial People's Hospital, Xinxiang Medical College, Zhengzhou, 450003, China
| | - Yang Zhou
- Department of Medical Imaging, People's Hospital of Zhengzhou University, #7 Wei Wu Road, Zhengzhou, 450003, China
| | - Jing Zhou
- Department of Health Management, Chronic Health Management Laboratory, Henan Provincial People's Hospital, Zhengzhou, 450003, China
| | - Zhonglin Li
- Henan Provincial People's Hospital, Zhengzhou, 450003, China
| | - Xiaoling Wu
- Department of Nuclear Medicine, Henan Provincial People's Hospital, Zhengzhou, 450003, China
| | - Zhi Zou
- Henan Provincial People's Hospital, Zhengzhou, 450003, China
| | - Xue Lv
- Department of Health Management, Chronic Health Management Laboratory, Henan Provincial People's Hospital, Zhengzhou, 450003, China
| | - Hao Li
- Department of Health Management, Fuwai Central China Cardiovascular Hospital, #1 Fuwai Avenue, Zhengzhou, 451464, China
| | - Yongli Li
- Department of Health Management, Chronic Health Management Laboratory, Henan Provincial People's Hospital, Zhengzhou, 450003, China.
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Zhou R, Chen J, Huang R, Yang Y, Shi Y. The Failure Rate of Liver Stiffness Measured by Vibration-controlled Transient Elastography in the United States and Relevant Factors. J Clin Transl Hepatol 2024; 12:1067-1069. [PMID: 39649032 PMCID: PMC11622204 DOI: 10.14218/jcth.2024.00261] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/29/2024] [Revised: 10/11/2024] [Accepted: 10/23/2024] [Indexed: 12/10/2024] Open
Affiliation(s)
- Ruoqi Zhou
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Jiyang Chen
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Rui Huang
- Department of Infectious Diseases, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, Jiangsu, China
| | - Yida Yang
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Yu Shi
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
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Lee CH, Huang YH, Hsu TJ, Yen TH, Hsieh SY. Statin Monotherapy Not Inferior to Aspirin or Combined Aspirin and Statins Reducing the Incidences of Cirrhosis, HCC, and Mortality in MAFLD/MASH Patients: A Population Cohort Study. Int J Gen Med 2024; 17:6495-6511. [PMID: 39742030 PMCID: PMC11687094 DOI: 10.2147/ijgm.s481724] [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] [Subscribe] [Scholar Register] [Received: 06/06/2024] [Accepted: 12/07/2024] [Indexed: 01/03/2025] Open
Abstract
Purpose Metabolic dysfunction-associated fatty liver disease (MAFLD) and metabolic dysfunction-associated steatohepatitis (MASH) pose significant risks for liver cirrhosis and hepatocellular carcinoma (HCC). Daily aspirin and statins could reduce HCC in patients with MAFLD/MASH. We aimed to clarify whether combined aspirin and statins exert a synergistic effect on prevention of cirrhosis and HCC in patients with MAFLD/MASH. Patients and Methods Patients and their clinical data were collected from the National Health Insurance Research Database (NHIRD), encompassing about 20 million population. A total of 735,574 MAFLD/MASH patients between January 1, 2009, and December 31, 2020 were identified. After applying exclusion criteria, 662,004 cases were enrolled, with a follow-up period of 3 years. Propensity score matching was employed for comparative analysis. Results Our findings indicate that combined statin and aspirin use significantly reduced the incidence of liver cirrhosis (p < 0.001) compared to statin or aspirin alone, or non-use of both drugs. However, the combined therapy did not confer additional benefits in reducing mortality rates and HCC. Furthermore, statin monotherapy exhibited a more pronounced effect in reducing mortality and HCC compared to aspirin alone or combined therapy. Conclusion Our study underscores that statin monotherapy was not inferior to aspirin or aspirin-statin combined therapies in terms of chemoprevention of cirrhosis, HCC, and overall mortality in MAFLD/MASH patients.
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Affiliation(s)
- Chern-Horng Lee
- Department of Geriatric Medicine and General Internal Medicine, Chang Gung Memorial Hospital, Linkou Branch, Taoyuan, 333, Taiwan
| | - Yu-Han Huang
- Department of Management Office for Health Data, China Medical University Hospital, Taichung, Taiwan, College of Medicine, China Medical University, Taichung, Taiwan
| | - Tzu-Ju Hsu
- Management Office for Health Data (DryLab), Clinical Trial Research Center (CTC), China Medical University Hospital, Taichung, Taiwan
| | - Tzung-Hai Yen
- Department of Nephrology, Chang Gung Memorial Hospital, Linkou Branch, Taoyuanm, 333, Taiwan
| | - Sen-Yung Hsieh
- Department of Gastroenterology and Hepatology, Chang Gung Memorial Hospital, Linkou Branch, Taoyuan, 333, Taiwan
- College of Medicine, Chang Gung University, Taoyuan, 333, Taiwan
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Karagiannakis DS, Stefanaki K, Paschou SA, Papatheodoridi M, Tsiodras S, Papanas N. Addressing the essentials of the recent guidelines for managing patients with metabolic dysfunction-associated steatotic liver disease. Hormones (Athens) 2024:10.1007/s42000-024-00625-z. [PMID: 39695010 DOI: 10.1007/s42000-024-00625-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/23/2024] [Accepted: 12/16/2024] [Indexed: 12/20/2024]
Abstract
Metabolic dysfunction-associated steatotic liver disease (MASLD) is the leading cause of end-stage liver disease and liver transplantation in the Western world, with an approximate prevalence of 30% worldwide which is continuously rising. It is characterized by intrahepatic fat deposition along with at least one cardiometabolic risk factor, such as diabetes mellitus, obesity, hypertriglyceridemia, and hypertension. MASLD consists of a spectrum of liver diseases ranging from simple liver steatosis to steatohepatitis, liver fibrosis, and cirrhosis. Recently, the European Association for the Study of the Liver (EASL), the European Association for the Study of Diabetes (EASD), and the European Association for the Study of Obesity (EASO) released the latest guidelines regarding the management of patients with MASLD. This article highlights the critical points of these guidelines and emphasizes problematic issues that need further evaluation.
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Affiliation(s)
- Dimitrios S Karagiannakis
- Academic Department of Gastroenterology, Laiko General Hospital, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece.
| | - Katerina Stefanaki
- Endocrine Unit and Diabetes Center, Department of Clinical Therapeutics, School of Medicine, Alexandra Hospital, National and Kapodistrian University of Athens, Athens, Greece
| | - Stavroula A Paschou
- Endocrine Unit and Diabetes Center, Department of Clinical Therapeutics, School of Medicine, Alexandra Hospital, National and Kapodistrian University of Athens, Athens, Greece
| | - Margarita Papatheodoridi
- Academic Department of Gastroenterology, Laiko General Hospital, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece
| | - Sotirios Tsiodras
- 4th Department of Internal Medicine, School of Medicine, Attikon University Hospital, National and Kapodistrian University of Athens, Athens, Greece
| | - Nikolaos Papanas
- Diabetes Centre-Diabetic Foot Clinic, Second Department of Internal Medicine, Democritus University of Thrace, Thrace, Alexandroupolis, Greece
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Shen C, Wu K, Ke Y, Zhang Q, Chen S, Li Q, Ruan Y, Yang X, Liu S, Hu J. Circulating irisin levels in patients with MAFLD: an updated systematic review and meta-analysis. Front Endocrinol (Lausanne) 2024; 15:1464951. [PMID: 39741878 PMCID: PMC11686449 DOI: 10.3389/fendo.2024.1464951] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/15/2024] [Accepted: 11/18/2024] [Indexed: 01/03/2025] Open
Abstract
Objective Current research suggests that irisin is closely linked to the pathogenesis and progression of metabolic dysfunction-associated fatty liver disease (MAFLD). This systematic review and meta-analysis updates our previous meta-analysis and further explores the relevance between circulating irisin levels and MAFLD. Methods Nine databases (PubMed, EMBASE, Cochrane Library, CNKI, Wanfang, Weipu, CBM, Clinicaltrials.gov and gray literature) were retrieved as of 1st August, 2024. The standardized mean difference (SMD) and 95% confidence interval (CI) represent pooled effect size. We used the Newcastle-Ottawa Scale to evaluate the quality of articles and the certainty of evidence assessed by GRADE system. All statistical analyses were performed using RevMan 5.3 and Stata 12(Stata Corporation, yi TX). Results Fifteen case-control studies were included. Circulating irisin levels in the MAFLD group were markedly lower than those in the healthy group (SMD=-1.04 [-1.93, -0.14]). Subgroup analyses by race, age, severity and T2DM revealed that circulating irisin levels were lower in the MAFLD group compared to those in the healthy controls in the Asian population (SMD=-1.38 [-2.44, -0.31], P<0.05) and in those above 50 years old (SMD=-2.23 [-3.64, -0.81], P<0.05) and higher in the mild MAFLD groups than those in moderate to severe MAFLD groups (SMD = 11.68 [9.05, 14.31], P<0.05). And the circulating irisin levels in MAFLD patients with T2DM were significantly lower than those in healthy group (SMD = -2.90 [-4.49, -1.30]). ELISA kits from different companies also presented different relationships. Conclusions There were significantly lower circulating irisin levels in the MAFLD group than in the healthy control group. Although these results differed from our previous results, there is no denying that circulating irisin levels are closely associated with the advancement of MAFLD.
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Affiliation(s)
- Chenglu Shen
- The First Clinical Medical College of Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China
| | - Kaihan Wu
- The First Clinical Medical College of Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China
| | - Yani Ke
- School of Basic Medical Sciences, Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China
| | - Qin Zhang
- The First Clinical Medical College of Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China
| | - Shuaihang Chen
- The Second Clinical Medical College of Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China
| | - Qicong Li
- The First Clinical Medical College of Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China
| | - Yuting Ruan
- The First Clinical Medical College of Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China
| | - Xudan Yang
- The First Clinical Medical College of Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China
| | - Shan Liu
- Department of Clinical Evaluation Center, The First Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China
| | - Jie Hu
- Department of Infectious Diseases, The First Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China
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Vaz K, Kemp W, Majeed A, Lubel J, Magliano DJ, Glenister KM, Bourke L, Simmons D, Roberts SK. MAFLD but not MASLD increases risk of all-cause mortality in regional Australia, with components of metabolic syndrome exacerbating factors: 20 year longitudinal, cohort study. Hepatol Int 2024:10.1007/s12072-024-10748-5. [PMID: 39673677 DOI: 10.1007/s12072-024-10748-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/26/2024] [Accepted: 11/03/2024] [Indexed: 12/16/2024]
Abstract
BACKGROUND AND AIMS Controversy remains whether the mortality risk in people with fatty liver disease (FLD) including metabolic-(dysfunction) associated steatotic liver disease (MASLD) and metabolic-(dysfunction) associated fatty liver disease (MAFLD) is higher than observed in those without FLD. We aimed to determine the mortality rate and mortality rate ratio (MRR) for these FLDs. METHODS The study population was a randomly selected cohort of community-dwelling adults in regional Victoria, Australia between 2001 and 2003 with sufficient data evaluable for Fatty Liver Index and determination on alcohol consumption. MASLD and MAFLD were diagnosed by established criteria. The primary outcome was overall mortality and main secondary outcome was major adverse liver outcomes (MALO) (i.e., decompensated liver disease, primary liver cancer and liver-related death). Non-fatal and fatal outcomes were captured via data linkage to hospital admission, cancer registry, and death registries. MRR was calculated with non-FLD participants as the comparator. RESULTS 1444 (99.3%) and 1324 (91.1%) individuals from a total of 1454 were included in the final MAFLD and MASLD analyses. The median follow-up was 19.7 years (IQR 19.1-20.1) and there were 298 deaths. The MRR for MAFLD and MASLD was 1.39 (95% CI 1.10-1.76) and 1.25 (95% CI 0.96-1.61), respectively. MAFLD persisted as a risk factor for all-cause death on multivariable models correcting for lifestyle and socioeconomic variables, but not when adjusted for metabolic risk factors. MALOs were increased in MAFLD [incidence rate ratio (IRR) 3.03, 95% CI 1.22-8.18] and MASLD (IRR 2.80, 95% CI 1.05-7.90). Metabolic risk factors increased the risk of overall mortality and MALO, and cancer (34.3-34.6%) and cardiovascular disease (30.1-33.7%) were the most common cause of death in FLD. CONCLUSION In this population-based longitudinal study, MAFLD but not MASLD increases the risk of overall mortality, with metabolic syndrome components key risk factors increasing risk of death.
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Affiliation(s)
- Karl Vaz
- Department of Gastroenterology and Hepatology, Alfred Health, Ground Floor Alfred Centre,55 Commercial Road, Melbourne, VIC, 3004, Australia.
- Central Clinical School, Monash University, Melbourne, VIC, Australia.
| | - William Kemp
- Department of Gastroenterology and Hepatology, Alfred Health, Ground Floor Alfred Centre,55 Commercial Road, Melbourne, VIC, 3004, Australia
- Central Clinical School, Monash University, Melbourne, VIC, Australia
| | - Ammar Majeed
- Department of Gastroenterology and Hepatology, Alfred Health, Ground Floor Alfred Centre,55 Commercial Road, Melbourne, VIC, 3004, Australia
- Central Clinical School, Monash University, Melbourne, VIC, Australia
| | - John Lubel
- Department of Gastroenterology and Hepatology, Alfred Health, Ground Floor Alfred Centre,55 Commercial Road, Melbourne, VIC, 3004, Australia
- Central Clinical School, Monash University, Melbourne, VIC, Australia
| | - Dianna J Magliano
- Diabetes and Population Health, Baker Heart and Diabetes Institute, Melbourne, VIC, Australia
| | - Kristen M Glenister
- Department of Rural Health, University of Melbourne, Parkville, VIC, Australia
| | - Lisa Bourke
- Department of Rural Health, University of Melbourne, Parkville, VIC, Australia
| | - David Simmons
- Department of Rural Health, University of Melbourne, Parkville, VIC, Australia
- Macarthur Clinical School, School of Medicine, Western Sydney University, Penrith, NSW, Australia
| | - Stuart K Roberts
- Department of Gastroenterology and Hepatology, Alfred Health, Ground Floor Alfred Centre,55 Commercial Road, Melbourne, VIC, 3004, Australia
- Central Clinical School, Monash University, Melbourne, VIC, Australia
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Vamja R, M Y, Vala V, Ramachandran A, Nagda J. Diagnostic accuracy of Fatty Liver Index (FLI) for detecting Metabolic Associated Fatty Liver Disease (MAFLD) in adults attending a tertiary care hospital, a cross-sectional study. Clin Diabetes Endocrinol 2024; 10:46. [PMID: 39668382 PMCID: PMC11639111 DOI: 10.1186/s40842-024-00197-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/21/2024] [Accepted: 07/17/2024] [Indexed: 12/14/2024] Open
Abstract
BACKGROUND Metabolic-associated fatty liver disease (MAFLD) is a major public health problem worldwide. This study aimed to determine the prevalence of MAFLD and evaluate the diagnostic accuracy of the Fatty Liver Index (FLI) compared to ultrasonography for detecting fatty liver in adults attending a tertiary care hospital in Gujarat, India. METHODS This cross-sectional study included 500 adults visiting the outpatient department between January 2023 and December 2023. MAFLD was diagnosed on ultrasound. FLI was calculated using body mass index, waist circumference, triglycerides, and gamma-glutamyl transpeptidase levels. FLI ≥ 60 indicated fatty liver. Logistic regression analysis identified factors associated with fatty liver. RESULTS MAFLD prevalence was 32.2% on ultrasound. High FLI (≥ 60) was present in 26.2%. Male sex, higher BMI, waist circumference, night shift work, diabetes, and triglycerides were independent predictors of fatty liver. FLI showed excellent diagnostic accuracy with a sensitivity of 96%, specificity of 92.5%, and AUC of 0.92 for detecting fatty liver on ultrasound. CONCLUSION MAFLD prevalence among adults was high in this hospital-based sample. FLI can serve as an accurate non-invasive tool for identifying individuals with a high probability of MAFLD. These findings emphasize the need for larger population-based studies and the implementation of regular MAFLD screening programs in high-risk groups.
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Affiliation(s)
- Roshni Vamja
- Department of Community Medicine, M P Shah Medical College, New PG Hostel, MP Shah Medical College Campus, GG Hospital, Patel Colony Post, Jamnagar, Gujarat, 361008, India
| | - Yogesh M
- Department of Community Medicine, M P Shah Medical College, New PG Hostel, MP Shah Medical College Campus, GG Hospital, Patel Colony Post, Jamnagar, Gujarat, 361008, India.
| | - Vijay Vala
- Department of General Medicine, Shantabaa Medical College and General Hospital, Amreli, India
| | - Arya Ramachandran
- Department of Community Medicine, M P Shah Medical College, New PG Hostel, MP Shah Medical College Campus, GG Hospital, Patel Colony Post, Jamnagar, Gujarat, 361008, India
| | - Jay Nagda
- Department of Community Medicine, M P Shah Medical College, New PG Hostel, MP Shah Medical College Campus, GG Hospital, Patel Colony Post, Jamnagar, Gujarat, 361008, India
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Zhang F, Han Y, Wu Y, Bao Z, Zheng G, Liu J, Li W. Association between triglyceride glucose-body mass index and the staging of non-alcoholic steatohepatitis and fibrosis in patients with non-alcoholic fatty liver disease. Ann Med 2024; 56:2409342. [PMID: 39348274 PMCID: PMC11443541 DOI: 10.1080/07853890.2024.2409342] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/30/2024] [Revised: 07/21/2024] [Accepted: 08/08/2024] [Indexed: 10/02/2024] Open
Abstract
OBJECTIVE The objective of this study was to thoroughly investigate the clinical value of triglyceride glucose-body mass index (TyG-BMI) in patients diagnosed with non-alcoholic fatty liver disease (NAFLD). Specifically, we aimed to determine its association with non-alcoholic steatohepatitis (NASH) and the progression of liver fibrosis. METHODS The study included 393 patients diagnosed with NAFLD after liver biopsy. The patients were divided into two distinct cohorts: a training cohort (N = 320) and a validation cohort (N = 73). The training cohort was further divided into four groups based on TyG-BMI quartiles. The clinical characteristics of the patients in each group were compared in detail, and the association between TyG-BMI and NASH, NAFLD Activity Score (NAS) ≥ 4, at-risk NASH, significant fibrosis, advanced fibrosis, and cirrhosis was analyzed using multiple models. Additionally, we generated receiver operating characteristic (ROC) curves to evaluate the predictive ability of TyG-BMI for NASH and fibrosis staging in patients with NAFLD. RESULTS Patients with higher TyG-BMI values had a significantly higher prevalence of NASH, NAS ≥ 4, at-risk NASH, significant fibrosis, advanced fibrosis, and cirrhosis (all p < .05). TyG-BMI was an independent predictor of these diseases in both unadjusted and adjusted models (all p < .05). ROC curve analysis further revealed the excellent performance of TyG-BMI in predicting NASH, NAS ≥ 4, at-risk NASH, significant fibrosis, advanced fibrosis, and cirrhosis. The validation cohort yielded analogous results. Furthermore, we constructed three multivariate models of TyG-BMI in conjunction with elastography metrics, which demonstrated elevated diagnostic AUC values of 0.782, 0.792, 0.794, 0.785, 0.834, and 0.845, respectively. CONCLUSION This study confirms a significant association between insulin resistance and NAFLD, including at-risk NASH and fibrosis staging, as assessed using the TyG-BMI index. TyG-BMI and its associated multivariate models can be valuable noninvasive indicators for NAFLD diagnosis, risk stratification, and disease course monitoring.
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Affiliation(s)
- Fan Zhang
- Department of Endocrinology, Changzhou Third People's Hospital, Changzhou Medical Center, Nanjing Medical University, Changzhou, China
- Department of Clinical Nutrition, Changzhou Third People's Hospital, Changzhou Medical Center, Nanjing Medical University, Changzhou, China
| | - Yan Han
- Department of Endocrinology, Changzhou Third People's Hospital, Changzhou Medical Center, Nanjing Medical University, Changzhou, China
- Department of Clinical Nutrition, Changzhou Third People's Hospital, Changzhou Medical Center, Nanjing Medical University, Changzhou, China
| | - Yunfei Wu
- Department of Pathology, Changzhou Third People's Hospital, Changzhou Medical Center, Nanjing Medical University, Changzhou, China
| | - Zuowei Bao
- Department of Ultrasonography, Changzhou Third People's Hospital, Changzhou Medical Center, Nanjing Medical University, Changzhou, China
| | - Guojun Zheng
- Clinical Laboratory, Changzhou Third People's Hospital, Changzhou Medical Center, Nanjing Medical University, Changzhou, China
| | - Jianhong Liu
- Department of Pathology, Changzhou Third People's Hospital, Changzhou Medical Center, Nanjing Medical University, Changzhou, China
| | - Wenjian Li
- Department of Urology, Changzhou Third People's Hospital, Changzhou Medical Center, Nanjing Medical University, Changzhou, China
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Au K, Zheng MH, Lee WJ, Ghanem OM, Mahawar K, Shabbir A, le Roux CW, Targher G, Byrne CD, Yilmaz Y, Valenti L, Sebastiani G, Treeprasertsuk S, Hui HX, Sakran N, Neto MG, Kermansaravi M, Kow L, Seki Y, Tham KW, Dang J, Cohen RV, Stier C, AlSabah S, Oviedo RJ, Chiappetta S, Parmar C, Yang W. Resmetirom and Metabolic Dysfunction-Associated Steatohepatitis: Perspectives on Multidisciplinary Management from Global Healthcare Professionals. Curr Obes Rep 2024; 13:818-830. [PMID: 39110384 DOI: 10.1007/s13679-024-00582-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 07/25/2024] [Indexed: 08/25/2024]
Abstract
PURPOSE OF REVIEW The approval of resmetirom brings great hope to patients with metabolic dysfunction-associated steatohepatitis (MASH). The purpose of this review is to explore its impact on the global health environment. The implementation of multidisciplinary management MASH is proposed. RECENT FINDINGS Resmetirom has benefits in the treatment of MASH, and its safety and effectiveness have been studied. The adverse events (AEs) need to be noticed. To improve patient outcomes, a multimodal approach with medication such as resmetirom, combined with metabolic and bariatric surgery (MBS) and lifestyle interventions can be conducted. MASH, a liver disease linked with obesity, is a challenging global healthcare burden compounded by the absence of any approved pharmacotherapy. The recent conditional approval by the Food and Drug Administration (FDA) in the United States of resmetirom, an oral, liver-directed, thyroid hormone receptor beta-selective agonist, marks a significant milestone, offering a treatment option for adults with non-cirrhotic MASH and who have moderate to advanced liver fibrosis. This narrative review discusses the efficacy and safety of resmetirom and its role in the therapeutic landscape of MASH treatment. Despite the promising hepatoprotective effect of resmetirom on histological liver endpoints, its use need further research, particularly regarding ethnic differences, effectiveness and cost-effectiveness, production scalability, social acceptance and accessibility. In addition, integrating resmetirom with other multidisciplinary therapeutic approaches, including lifestyle changes and MBS, might further improve clinical liver-related and cardiometabolic outcomes of individuals with MASH. This review highlights the importance of a comprehensive treatment strategy, supporting continued innovation and collaborative research to refine treatment guidelines and consensus for managing MASH, thereby improving clinical patient outcomes in the growing global epidemic of MASH. Studies done to date have been relatively short and ongoing, the course of the disease is highly variable, the conditions of various patients vary, and given this complex clinical phenotype, it may take many years of clinical trials to show long-term benefits.
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Affiliation(s)
- Kahei Au
- Department of Metabolic and Bariatric Surgery, The First Affiliated Hospital of Jinan University, No. 613 Huangpu Avenue West, Guangzhou, China
| | - Ming-Hua Zheng
- Department of Hepatology, MAFLD Research Center, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
- Key Laboratory of Diagnosis and Treatment for The Development of Chronic Liver Disease in Zhejiang Province, Wenzhou, China
| | - Wei-Jei Lee
- Medical Weight Loss Center, China Medical University Shinchu Hospital, Zhubei City, Taiwan
| | - Omar M Ghanem
- Department of Surgery, Mayo Clinic, Rochester, MN, USA
| | - Kamal Mahawar
- Department of Upper Gastrointestinal Surgery, South Tyneside and Sunderland NHS Foundation Trust, Sunderland, UK
| | - Asim Shabbir
- National University of Singapore, Singapore, Singapore
| | - Carel W le Roux
- Diabetes Complications Research Centre, University College Dublin, Dublin, Ireland
| | - Giovanni Targher
- Department of Medicine, University of Verona, Verona, Italy
- Metabolic Diseases Research Unit, IRCCS Sacro Cuore - Don Calabria Hospital, Negrar di Valpolicella, Italy
| | - Christopher D Byrne
- Southampton National Institute for Health and Care Research Biomedical Research Centre, University Hospital Southampton, and University of Southampton, Southampton General Hospital, Southampton, UK
| | - Yusuf Yilmaz
- Department of Gastroenterology, School of Medicine, Recep Tayyip Erdoğan University, Rize, Turkey
| | - Luca Valenti
- Department of Pathophysiology and Transplantation, Università Degli Studi di Milano, Milan, Italy
- Precision Medicine, Biological Resource Center, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico Milano, Milan, Italy
| | - Giada Sebastiani
- Division of Gastroenterology and Hepatology, Chronic Viral Illness Service, McGill University Health Centre, Royal Victoria Hospital, Montreal, Canada
| | | | - Hannah Xiaoyan Hui
- School of Biomedical Sciences, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Nasser Sakran
- Department of General Surgery, Holy Family Hospital, Nazareth, Israel
- The Azrieli Faculty of Medicine, Bar-Ilan University, Ramat Gan, Israel
| | - Manoel Galvao Neto
- Orlando Health Weight Loss and Bariatric Surgery Institute, Orlando, USA
- Mohak Bariatric and Robotic Center, Indore, India
| | - Mohammad Kermansaravi
- Department of Surgery, Division of Minimally Invasive and Bariatric Surgery, School of Medicine, Hazrat-E Fatemeh Hospital, Iran University of Medical Sciences, Tehran, Iran
| | - Lilian Kow
- Department GI Surgery, Flinders University South Australia, Adelaide, Australia
| | - Yosuke Seki
- Weight Loss and Metabolic Surgery Centre, Yotsuya Medical Cube, Tokyo, Japan
| | | | - Jerry Dang
- Digestive Disease Institute, Cleveland Clinic, Cleveland, OH, USA
| | - Ricardo V Cohen
- The Center for Obesity and Diabetes, Hospital Alemao Oswaldo Cruz, Sao Paulo, Brazil
| | - Christine Stier
- Department of MBS and Bariatric Endoscopy, University Hospital Mannheim, Heidelberg University, Mannheim, Baden-Wuerttenberg, Germany
| | - Salman AlSabah
- Department of Surgery, Kuwait University, Kuwait, Kuwait
| | - Rodolfo J Oviedo
- Nacogdoches Medical Center, Nacogdoches, TX, USA
- University of Houston Tilman J. Fertitta Family College of Medicine, Houston, TX, USA
- Sam Houston State University College of Osteopathic Medicine, Conroe, TX, USA
| | - Sonja Chiappetta
- Bariatric and Metabolic Surgery Unit, Department for General and Laparoscopic Surgery, Ospedale Evangelico Betania, Naples, Italy
| | - Chetan Parmar
- Department of Surgery, Whittington Hospital,, University College London, London, UK
| | - Wah Yang
- Department of Metabolic and Bariatric Surgery, The First Affiliated Hospital of Jinan University, No. 613 Huangpu Avenue West, Guangzhou, China.
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Miranda J, Key Wakate Teruya A, Leão Filho H, Lahan-Martins D, Tamura Sttefano Guimarães C, de Paula Reis Guimarães V, Ide Yamauchi F, Blasbalg R, Velloni FG. Diffuse and focal liver fat: advanced imaging techniques and diagnostic insights. Abdom Radiol (NY) 2024; 49:4437-4462. [PMID: 38896247 DOI: 10.1007/s00261-024-04407-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2024] [Revised: 05/21/2024] [Accepted: 05/22/2024] [Indexed: 06/21/2024]
Abstract
The fatty liver disease represents a complex, multifaceted challenge, requiring a multidisciplinary approach for effective management and research. This article uses conventional and advanced imaging techniques to explore the etiology, imaging patterns, and quantification methods of hepatic steatosis. Particular emphasis is placed on the challenges and advancements in the imaging diagnostics of fatty liver disease. Techniques such as ultrasound, CT, MRI, and elastography are indispensable for providing deep insights into the liver's fat content. These modalities not only distinguish between diffuse and focal steatosis but also help identify accompanying conditions, such as inflammation and fibrosis, which are critical for accurate diagnosis and management.
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Affiliation(s)
- Joao Miranda
- Department of Radiology, Memorial Sloan Kettering Cancer Center, 1275 York Ave, New York, NY, 10065, USA.
- Department of Radiology, University of São Paulo, R. Dr. Ovídio Pires de Campos, 75-Cerqueira César, São Paulo, SP, 05403-010, Brazil.
| | - Alexandre Key Wakate Teruya
- Department of Radiology, Diagnósticos da América SA (DASA), Av Juruá 434, Alphaville Industrial, Barueri, São Paulo, SP, 06455-010, Brazil
| | - Hilton Leão Filho
- Department of Radiology, Diagnósticos da América SA (DASA), Av Juruá 434, Alphaville Industrial, Barueri, São Paulo, SP, 06455-010, Brazil
| | - Daniel Lahan-Martins
- Department of Radiology, Diagnósticos da América SA (DASA), Av Juruá 434, Alphaville Industrial, Barueri, São Paulo, SP, 06455-010, Brazil
- Departament of Radiology-FCM, State University of Campinas (UNICAMP), R. Tessália Vieira de Camargo, 126 Cidade Universitária, Campinas, SP, 13083-887, Brazil
| | - Cássia Tamura Sttefano Guimarães
- Department of Radiology, Diagnósticos da América SA (DASA), Av Juruá 434, Alphaville Industrial, Barueri, São Paulo, SP, 06455-010, Brazil
| | - Vivianne de Paula Reis Guimarães
- Department of Radiology, Diagnósticos da América SA (DASA), Av Juruá 434, Alphaville Industrial, Barueri, São Paulo, SP, 06455-010, Brazil
| | - Fernando Ide Yamauchi
- Department of Radiology, Diagnósticos da América SA (DASA), Av Juruá 434, Alphaville Industrial, Barueri, São Paulo, SP, 06455-010, Brazil
| | - Roberto Blasbalg
- Department of Radiology, Diagnósticos da América SA (DASA), Av Juruá 434, Alphaville Industrial, Barueri, São Paulo, SP, 06455-010, Brazil
| | - Fernanda Garozzo Velloni
- Department of Radiology, Diagnósticos da América SA (DASA), Av Juruá 434, Alphaville Industrial, Barueri, São Paulo, SP, 06455-010, Brazil
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Zhang C, Cao L, Xu B, Zhang W. Interaction between trouble sleeping and diabetes on metabolic dysfunction-associated fatty liver disease and liver fibrosis in adults results from the National Health and Nutrition Examination Survey 2017-2018. Eur J Gastroenterol Hepatol 2024; 36:1437-1446. [PMID: 39373628 PMCID: PMC11527372 DOI: 10.1097/meg.0000000000002860] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/30/2024] [Accepted: 09/09/2024] [Indexed: 10/08/2024]
Abstract
BACKGROUND Metabolic dysfunction-associated fatty liver disease (MAFLD), trouble sleeping, and diabetes, as major public health problems, were closely related. The study examined the interaction between trouble sleeping and diabetes on MAFLD and liver fibrosis in adults with MAFLD. METHODS The data were obtained from the National Health and Nutrition Examination Survey 2017-2018. Multivariate logistic regression model and subgroup analyses were conducted to assess the relationship between either trouble sleeping or diabetes on MAFLD and liver fibrosis. Relative excess risk due to interaction (RERI), attributable proportion of interaction (AP), and synergy index (S) were utilized to assess the additive interaction. RESULTS Ultimately, 3747 participants were included, with 2229 known MAFLD subjects. Compared with participants without diabetes, those with diabetes had a higher risk of MAFLD [odds ratio (OR) = 5.55; 95% confidence interval (CI) = 4.07-7.56] and liver fibrosis risk (OR = 3.61; 95% CI = 2.67-4.89). We also found a significant association of trouble sleeping with an increased risk of MAFLD (OR = 1.54; 95% CI = 1.17-2.02) and liver fibrosis risk (OR = 1.51; 95% CI = 1.06-2.16), compared with those without trouble sleeping. Moreover, there was a significant interaction between diabetes and trouble sleeping on MAFLD [RERI = 1.76 (95% CI: -0.22 to 3.73), AP = 0.35 (95% CI: 0.08-0.63), S = 1.80 (95% CI: 1.02-3.16)] and liver fibrosis risk [RERI = 1.79 (95% CI: 0.37-3.21), AP = 0.44 (95% CI: 0.20-0.69), S = 2.44 (95% CI: 1.18-5.08)]. CONCLUSION The findings highlight that trouble sleeping and diabetes had a synergistic effect on MAFLD and liver cirrhosis. The study highlights the importance of addressing both trouble sleeping and diabetes management in adults to mitigate the risk of MAFLD and liver fibrosis.
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Affiliation(s)
- Cui Zhang
- Department of Oncology, Zibo Central Hospital, Zibo, Shandong, China
| | - Lili Cao
- Department of Oncology, Zibo Central Hospital, Zibo, Shandong, China
| | - Bo Xu
- Department of Oncology, Zibo Central Hospital, Zibo, Shandong, China
| | - Wei Zhang
- Department of Oncology, Zibo Central Hospital, Zibo, Shandong, China
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Yue H, Jia M, Li B, Zong A, Du F, Xu T. Medium chain triglycerides alleviate non-alcoholic fatty liver disease through bile acid-mediated FXR signaling pathway: A comparative study with common vegetable edible oils. J Food Sci 2024; 89:10171-10180. [PMID: 39668111 DOI: 10.1111/1750-3841.17565] [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: 08/28/2024] [Revised: 10/21/2024] [Accepted: 11/08/2024] [Indexed: 12/14/2024]
Abstract
With the global epidemic trend of obesity, non-alcoholic fatty liver disease (NAFLD) has become a significant cause of chronic liver disease, seriously affecting human health. Medium-chain triglycerides (MCT) with a fatty acid chain length varying between 6 and 10 carbon atoms (most sources from coconut and palm kernel oils), which exhibited activities to improve lipid metabolism, prevent cardiovascular diseases, and enhance immunity. However, the efficacy differences and potential mechanisms between MCT and traditional long-chain vegetable oils (palm oil, PA; high oleic peanut oil, OA) in obesity-induced NAFLD were still unclear. The present study treated obesity-induced NAFLD mice with different dietary lipids for 16 weeks. The results showed that MCT supplements significantly improved abnormal elevation of weight gain and blood lipids and reduced hepatic lipid accumulation to a greater extent than PA and OA. Furthermore, bile acid profiling results indicated that MCT significantly changed the composition of bile acids in the liver, reduced the concentrations of cholic acid (CA), deoxycholic acid (DCA), β-muricholic acid (β-MCA), and ursodeoxycholic acid (UDCA) and increased the concentrations of chenodeoxycholic Acid (CDCA), taurochenodeoxycholic acid (TCDCA), hyodeoxycholic acid (HDCA), and taurohyodeoxycholic acid (THDCA). Mechanistically, MCT supplement upregulated FXR signal and inhibited the expression of key genes for triglyceride synthesis in the liver, thereby reducing hepatic lipid accumulation. In summary, MCT exerted a superior effect on PA and OA in improving obesity-induced NAFLD. These results provided new evidence for the application of MCT in treating NAFLD.
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Affiliation(s)
- Hao Yue
- Institute of Food & Nutrition Science and Technology, Shandong Engineering Research Center of Food for Special Medical Purpose, Key Laboratory of Agro-Products Processing Technology of Shandong Province, Key Laboratory of Novel Food Resources Processing, Ministry of Agriculture and Rural Affairs, Shandong Academy of Agricultural Sciences, Shandong, P. R. China
| | - Min Jia
- Institute of Food & Nutrition Science and Technology, Shandong Engineering Research Center of Food for Special Medical Purpose, Key Laboratory of Agro-Products Processing Technology of Shandong Province, Key Laboratory of Novel Food Resources Processing, Ministry of Agriculture and Rural Affairs, Shandong Academy of Agricultural Sciences, Shandong, P. R. China
| | - Baorui Li
- Institute of Food & Nutrition Science and Technology, Shandong Engineering Research Center of Food for Special Medical Purpose, Key Laboratory of Agro-Products Processing Technology of Shandong Province, Key Laboratory of Novel Food Resources Processing, Ministry of Agriculture and Rural Affairs, Shandong Academy of Agricultural Sciences, Shandong, P. R. China
| | - Aizhen Zong
- Institute of Food & Nutrition Science and Technology, Shandong Engineering Research Center of Food for Special Medical Purpose, Key Laboratory of Agro-Products Processing Technology of Shandong Province, Key Laboratory of Novel Food Resources Processing, Ministry of Agriculture and Rural Affairs, Shandong Academy of Agricultural Sciences, Shandong, P. R. China
| | - Fangling Du
- Institute of Food & Nutrition Science and Technology, Shandong Engineering Research Center of Food for Special Medical Purpose, Key Laboratory of Agro-Products Processing Technology of Shandong Province, Key Laboratory of Novel Food Resources Processing, Ministry of Agriculture and Rural Affairs, Shandong Academy of Agricultural Sciences, Shandong, P. R. China
| | - Tongcheng Xu
- Institute of Food & Nutrition Science and Technology, Shandong Engineering Research Center of Food for Special Medical Purpose, Key Laboratory of Agro-Products Processing Technology of Shandong Province, Key Laboratory of Novel Food Resources Processing, Ministry of Agriculture and Rural Affairs, Shandong Academy of Agricultural Sciences, Shandong, P. R. China
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Chen J, Liu ZT, Lyu JT, Jiang GP. Impact of metabolic disorders on gallstone disease and perioperative recovery after laparoscopic cholecystectomy. Hepatobiliary Pancreat Dis Int 2024; 23:604-612. [PMID: 39129076 DOI: 10.1016/j.hbpd.2024.08.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/12/2023] [Accepted: 07/15/2024] [Indexed: 08/13/2024]
Abstract
BACKGROUND Gallstone disease (GSD), nonalcoholic fatty liver disease (NAFLD), metabolic dysfunction-associated fatty liver disease (MAFLD), and metabolic syndrome (MetS) are common medical disorders worldwide. This study aimed to ascertain how NAFLD, MAFLD, MetS, and other factors affect the development of GSD, and how the GSD-associated factors influence patient recovery after laparoscopic cholecystectomy (LC). METHODS We included 200 patients who were diagnosed with GSD and underwent LC between January 2017 and February 2022. A total of 200 subjects without GSD and "non-calculous causes" during the same period were also included as controls. We compared the metabolic disorder differences between GSD patients and controls. Furthermore, we sub-grouped patients based on the comorbidities of preoperative NAFLD, MAFLD, and MetS, and compared the impacts of these comorbidities on short-term post-LC functional recovery of the patients. RESULTS The prevalence of NAFLD and MetS were higher in GSD patients (P < 0.05). Based on multivariate logistic regression analysis, hyperglycemia [odds ratio (OR) = 2.2, 95% confidence interval (CI): 1.4-3.4, P = 0.001] and low high-density lipoprotein cholesterol (HDL-C) level (OR = 1.8, 95% CI: 1.1-3.1, P = 0.048) were linked to GSD. NAFLD and MetS linked to liver enzymes after LC (P < 0.05). MetS also linked to the levels of inflammatory indicators after LC (P < 0.05). The obesity, hyperlipidemia, low HDL-C level, and hyperglycemia linked to liver enzymes after LC (P < 0.05). Hyperlipidemia, low HDL-C level, and hypertension linked to inflammation after LC (P < 0.05). CONCLUSIONS The prevalence of GSD may be linked to NAFLD and MetS. Hyperglycemia and low HDL-C level were independent risk factors of GSD.
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Affiliation(s)
- Jun Chen
- Zhejiang Chinese Medical University, Hangzhou 310053, China
| | - Zheng-Tao Liu
- Department of Hepatobiliary Surgery, Shulan (Hangzhou) Hospital Affiliated to Zhejiang Shuren University Shulan International Medical College, Hangzhou 310022, China; Zhejiang Shuren University, Hangzhou 310015, China
| | | | - Guo-Ping Jiang
- Department of Hepatobiliary Surgery, Shulan (Hangzhou) Hospital Affiliated to Zhejiang Shuren University Shulan International Medical College, Hangzhou 310022, China; Key Laboratory of Artificial Organs and Computational Medicine in Zhejiang Province, Shulan (Hangzhou) Hospital Affiliated to Zhejiang Shuren University Shulan International Medical College, Hangzhou 310022, China.
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Martínez‐Arenas L, Vinaixa C, Conde I, Lorente S, Díaz‐Fontenla F, Marques P, Pérez‐Rojas J, Montalvá E, Carvalho‐Gomes Â, Berenguer M. FibroScan compared to liver biopsy for accurately staging recurrent hepatic steatosis and fibrosis after transplantation for MASH. Liver Int 2024; 44:3174-3182. [PMID: 39225307 PMCID: PMC11586891 DOI: 10.1111/liv.16085] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/05/2024] [Revised: 07/03/2024] [Accepted: 08/18/2024] [Indexed: 09/04/2024]
Abstract
BACKGROUND AND AIMS Metabolic dysfunction-associated steatotic liver disease (MASLD) recurrence after liver transplantation (LT) seems unavoidable and gradual. We aimed to evaluate the diagnostic accuracy in the post-LT setting of patients transplanted for metabolic dysfunction-associated steatohepatitis (MASH) of recurrent hepatic steatosis and fibrosis identified with FibroScan, compared to biopsy findings. METHODS This prospective cohort study included adults transplanted for MASH between 2010 and 2022 in three LT centres in Spain who underwent FibroScan and biopsy at least 1-year after LT. RESULTS In total, 44 patients transplanted for MASH after LT were included. The median time from LT to biopsy and FibroScan was 24.5 (interquartile range [IQR]:16-46) and 26.0 (IQR: 16.8-41.5) months, respectively. The median time between biopsy and FibroScan was 2.0 (IQR: 0-5) months. On FibroScan, significant steatosis was diagnosed in about half of the patients (n = 21, 47.7%), yet advanced fibrosis in only two cases (4.6%). On biopsy, a quarter of biopsied patients (n = 11, 25%) had a MASH diagnosis, two (4.6%) with significant fibrosis and one (2.3%) with cirrhosis. All patients with liver stiffness measurement (LSM) values <8 kPa (n = 35, 79.5%) had a fibrosis stage ≤F1 (negative predictive value = 100%). The combination of post-LT hypertension (odds ratio [OR]: 12.0, 95% confidence interval [CI]: 1.8-80.4, p = .010) and post-LT dyslipidaemia (OR: 7.9, 95% CI: 1.3-47.1, p = .024) with LSM (OR: 1.7, 95% CI: 1.1-2.8, p = .030) was independently associated with MASLD. CONCLUSIONS Although biopsy remains the gold standard for detecting fibrosis, our results suggest that LSM values <8 kPa after LT for MASH are strongly correlated with absence of significant/advanced fibrosis.
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Affiliation(s)
- Laura Martínez‐Arenas
- Hepatology, Hepatobiliopancreatic Surgery and Transplant LaboratoryInstituto de Investigación Sanitaria La Fe (IIS La Fe)ValenciaSpain
- Department of BiotechnologyUniversitat Politècnica de ValènciaValenciaSpain
- Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBEREHD)Instituto de Salud Carlos IIIMadridSpain
| | - Carmen Vinaixa
- Hepatology, Hepatobiliopancreatic Surgery and Transplant LaboratoryInstituto de Investigación Sanitaria La Fe (IIS La Fe)ValenciaSpain
- Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBEREHD)Instituto de Salud Carlos IIIMadridSpain
- Hepatology and Liver Transplantation UnitHospital Universitario y Politécnico La FeValenciaSpain
| | - Isabel Conde
- Hepatology, Hepatobiliopancreatic Surgery and Transplant LaboratoryInstituto de Investigación Sanitaria La Fe (IIS La Fe)ValenciaSpain
- Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBEREHD)Instituto de Salud Carlos IIIMadridSpain
- Hepatology and Liver Transplantation UnitHospital Universitario y Politécnico La FeValenciaSpain
| | - Sara Lorente
- Hepatology and Liver Transplantation UnitHospital Clínico Universitario Lozano Blesa, Instituto de Investigación Sanitaria Aragón (IIS Aragón)ZaragozaSpain
| | - Fernando Díaz‐Fontenla
- Liver Unit and Digestive DepartmentHospital General Universitario Gregorio MarañónMadridSpain
| | - Patrice Marques
- Hepatology, Hepatobiliopancreatic Surgery and Transplant LaboratoryInstituto de Investigación Sanitaria La Fe (IIS La Fe)ValenciaSpain
- Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBEREHD)Instituto de Salud Carlos IIIMadridSpain
| | - Judith Pérez‐Rojas
- Department of PathologyHospital Universitario y Politécnico La FeValenciaSpain
| | - Eva Montalvá
- Hepatology, Hepatobiliopancreatic Surgery and Transplant LaboratoryInstituto de Investigación Sanitaria La Fe (IIS La Fe)ValenciaSpain
- Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBEREHD)Instituto de Salud Carlos IIIMadridSpain
- Hepatobiliopancreatic Surgery and Transplantation UnitHospital Universitario y Politécnico La FeValenciaSpain
- Department of SurgeryUniversitat de ValènciaValenciaSpain
| | - Ângela Carvalho‐Gomes
- Hepatology, Hepatobiliopancreatic Surgery and Transplant LaboratoryInstituto de Investigación Sanitaria La Fe (IIS La Fe)ValenciaSpain
- Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBEREHD)Instituto de Salud Carlos IIIMadridSpain
| | - Marina Berenguer
- Hepatology, Hepatobiliopancreatic Surgery and Transplant LaboratoryInstituto de Investigación Sanitaria La Fe (IIS La Fe)ValenciaSpain
- Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBEREHD)Instituto de Salud Carlos IIIMadridSpain
- Hepatology and Liver Transplantation UnitHospital Universitario y Politécnico La FeValenciaSpain
- Department of MedicineUniversitat de ValènciaValenciaSpain
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Rigor J, Martins ME, Passos B, Oliveira R, Martins-Mendes D. Noninvasive tools for the assessment of fibrosis in metabolic dysfunction-associated steatotic liver disease. Minerva Med 2024; 115:660-670. [PMID: 39283245 DOI: 10.23736/s0026-4806.24.09290-5] [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: 11/29/2024]
Abstract
Metabolic dysfunction-associated steatotic liver disease (MASLD), previously nonalcoholic fatty liver disease (NAFLD), is the number one chronic liver disorder worldwide. Progression to advanced fibrosis marks the emergence of a significant risk of liver-related negative outcomes. However, only a minority of patients will present at this stage. Since widespread liver biopsy in unfeasible at such high disease prevalence, there was a need to develop noninvasive tests (NITs) that could easily and reliably be applied to patients with MASLD, regardless of clinical setting. The NITs include simple scores, like the fibrosis-4 (FIB-4) Index, patented serum tests, like the Enhanced Liver Fibrosis test (ELF™), and imaging-based modalities, like the vibration-controlled transient elastography (VCTE). Guidelines suggests a stepwise approach that utilizes more than one NIT, with FIB-4 <1.30 being used as a first step to rule out patients that do not need further testing. Subsequent choice of NIT will be influenced by setting, cost, and local availability. While these NITs are accurate, they are not perfect. As such, research is ongoing. A promising avenue is that of omics, a group of technologies that provide concomitant results on a large number of molecules (and other variables). With the advance of artificial intelligence, new NITs may arise from large demographic, biochemical, and radiological data sets.
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Affiliation(s)
- Joana Rigor
- Internal Medicine Department, Unidade Local de Saúde de Póvia de Varzim/Vila do Conde, Vila do Conde, Portugal -
- RISE-UFP, Network of Health Investigation, Fernando Pessoa University, Porto, Portugal -
| | - Maria E Martins
- Internal Medicine Department, Unidade Local de Saúde de Póvia de Varzim/Vila do Conde, Vila do Conde, Portugal
| | - Beatriz Passos
- Internal Medicine Department, Unidade Local de Saúde de Póvia de Varzim/Vila do Conde, Vila do Conde, Portugal
| | - Raquel Oliveira
- Internal Medicine Department, Unidade Local de Saúde de Póvia de Varzim/Vila do Conde, Vila do Conde, Portugal
| | - Daniela Martins-Mendes
- RISE-UFP, Network of Health Investigation, Fernando Pessoa University, Porto, Portugal
- School of Medicine and Biomedical Sciences, Fernando Pessoa University, Porto, Portugal
- FP-I3ID, Fernando Pessoa University, Porto, Portugal
- Department of Biomedicine, Faculty of Medicine, University of Porto, Porto, Portugal
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Tu J, Wang B, Wang X, Huo K, Hu W, Zhang R, Li J, Zhu S, Liang Q, Han S. Current status and new directions for hepatocellular carcinoma diagnosis. LIVER RESEARCH 2024; 8:218-236. [PMID: 39958920 PMCID: PMC11771281 DOI: 10.1016/j.livres.2024.12.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/25/2024] [Revised: 10/17/2024] [Accepted: 12/01/2024] [Indexed: 02/18/2025]
Abstract
Liver cancer ranks as the sixth most common cancer globally, with hepatocellular carcinoma (HCC) accounting for approximately 75%-85% of cases. Most patients present with moderately advanced disease, while those with advanced HCC face limited and ineffective treatment options. Despite diagnostic efforts, no ideal tumor marker exists to date, highlighting the urgent clinical need for improved early detection of HCC. A key research objective is the development of assays that target specific pathways involved in HCC progression. This review explores the pathological origin and development of HCC, providing insights into the mechanistic rationale, clinical statistics, and the advantages and limitations of commonly used diagnostic tumor markers. Additionally, it discusses the potential of emerging biomarkers for early diagnosis and offers a brief overview of relevant assay methodologies. This review aims to summarize existing markers and investigate new ones, providing a basis for subsequent research.
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Affiliation(s)
- Jinqi Tu
- Xinjiang Key Laboratory of Biological Resources and Genetic Engineering, College of Life Science and Technology, Xinjiang University, Urumqi, Xinjiang, China
- Department of Hepatobiliary Surgery, The First Affiliated Hospital of Wannan Medical College (Yijishan Hospital of Wannan Medical College), Wuhu, Anhui, China
| | - Bo Wang
- Animal Experimental Center, Xinjiang Medical University, Urumqi, Xinjiang, China
| | - Xiaoming Wang
- Department of Hepatobiliary Surgery, The First Affiliated Hospital of Wannan Medical College (Yijishan Hospital of Wannan Medical College), Wuhu, Anhui, China
| | - Kugeng Huo
- Cyagen Biosciences (Guangzhou) Inc., Guangzhou, Guangdong, China
| | - Wanting Hu
- MOE Key Laboratory of Bioorganic Phosphorus Chemistry & Chemical Biology, Beijing Key Lab of Microanalytical Methods & Instrumentation, Center for Synthetic and Systems Biology, Department of Chemistry, Tsinghua University, Beijing, China
| | - Rongli Zhang
- Department of Medicine, Institute for Transformative Molecular Medicine, Case Western Reserve University School of Medicine, Cleveland, OH, USA
- Cardiovascular Research Institute, Case Western Reserve University School of Medicine, Cleveland, OH, USA
| | - Jinyao Li
- Xinjiang Key Laboratory of Biological Resources and Genetic Engineering, College of Life Science and Technology, Xinjiang University, Urumqi, Xinjiang, China
| | - Shijie Zhu
- Department of Oncology, Wangjing Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Qionglin Liang
- MOE Key Laboratory of Bioorganic Phosphorus Chemistry & Chemical Biology, Beijing Key Lab of Microanalytical Methods & Instrumentation, Center for Synthetic and Systems Biology, Department of Chemistry, Tsinghua University, Beijing, China
| | - Shuxin Han
- Xinjiang Key Laboratory of Biological Resources and Genetic Engineering, College of Life Science and Technology, Xinjiang University, Urumqi, Xinjiang, China
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Babu AF, Palomurto S, Kärjä V, Käkelä P, Lehtonen M, Hanhineva K, Pihlajamäki J, Männistö V. Metabolic signatures of metabolic dysfunction-associated steatotic liver disease in severely obese patients. Dig Liver Dis 2024; 56:2103-2110. [PMID: 38825414 DOI: 10.1016/j.dld.2024.05.015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/06/2024] [Revised: 04/02/2024] [Accepted: 05/13/2024] [Indexed: 06/04/2024]
Abstract
BACKROUND Metabolic dysfunction-associated steatotic liver disease (MASLD) can lead to liver fibrosis, cirrhosis, and hepatocellular carcinoma. Still, most patients with MASLD die from cardiovascular diseases indicating metabolic alterations related to both liver and cardiovascular pathology. AIMS AND METHODS The aim of this study was to assess biologic pathways behind MASLD progression from steatosis to metabolic dysfunction-associated steatohepatitis (MASH) using non-targeted liquid chromatography-mass spectrometry analysis in 106 severely obese individuals (78 women, mean age 47.7 7 ± 9.2 years, body mass index 41.8 ± 4.3 kg/m²) undergoing laparoscopic Roux-en-Y gastric bypass. RESULTS We identified several metabolites that are associated with MASLD progression. Most importantly, we observed a decrease of lysophosphatidylcholines LPC(18:2), LPC(18:3), and LPC(20:3) and increase of xanthine when comparing those with steatosis to those with MASH. We found that indole propionic acid and threonine were negatively correlated to fibrosis, but not with the metabolic disturbances associated with cardiovascular risk. Xanthine, ketoleucine, and tryptophan were positively correlated to lobular inflammation and ballooning but also with insulin resistance, and dyslipidemia, respectively. The results did not change when taking into account the most important genetic risk factors of MASLD. CONCLUSIONS Our findings suggest that there are several separate biological pathways, some of them independent of insulin resistance and dyslipidemia, associating with MASLD.
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Affiliation(s)
- Ambrin Farizah Babu
- School of Medicine, Institute of Public Health and Clinical Nutrition, University of Eastern Finland, 70211 Kuopio, Finland; Afekta Technologies Ltd., Microkatu 1, 70210 Kuopio, Finland
| | - Saana Palomurto
- Department of Surgery, Kuopio University Hospital, 70210 Kuopio, Finland
| | - Vesa Kärjä
- Department of Pathology, Kuopio University Hospital, 70210 Kuopio, Finland
| | - Pirjo Käkelä
- Department of Surgery, Kuopio University Hospital, 70210 Kuopio, Finland
| | - Marko Lehtonen
- School of Pharmacy, Faculty of Health Science, University of Eastern Finland, 70211 Kuopio, Finland; LC-MS Metabolomics Center, Biocenter Kuopio, 70211 Kuopio, Finland
| | - Kati Hanhineva
- School of Medicine, Institute of Public Health and Clinical Nutrition, University of Eastern Finland, 70211 Kuopio, Finland; Afekta Technologies Ltd., Microkatu 1, 70210 Kuopio, Finland; Department of Life Technologies, Food Sciences Unit, University of Turku, 20014 Turku, Finland
| | - Jussi Pihlajamäki
- School of Medicine, Institute of Public Health and Clinical Nutrition, University of Eastern Finland, 70211 Kuopio, Finland; Department of Medicine, Endocrinology and Clinical Nutrition, Kuopio University Hospital, 70210 Kuopio Finland
| | - Ville Männistö
- Department of Medicine, University of Eastern Finland and Kuopio University Hospital, 70210 Kuopio, Finland.
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Kim D, Manikat R, Wijarnpreecha K, Cholankeril G, Ahmed A. Contemporary awareness of nonalcoholic fatty liver disease and viral hepatitis based on the stage. Am J Med Sci 2024; 368:685-687. [PMID: 39159751 DOI: 10.1016/j.amjms.2024.08.014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2023] [Revised: 08/12/2024] [Accepted: 08/13/2024] [Indexed: 08/21/2024]
Affiliation(s)
- Donghee Kim
- Division of Gastroenterology and Hepatology, Stanford University School of Medicine, Stanford, CA, United States.
| | - Richie Manikat
- Division of Gastroenterology and Hepatology, Stanford University School of Medicine, Stanford, CA, United States
| | - Karn Wijarnpreecha
- Department of Medicine, Division of Gastroenterology and Hepatology, University of Arizona College of Medicine, Phoenix, Arizona, United States; Department of Internal Medicine, Division of Gastroenterology and Hepatology, Banner University Medical Center, Phoenix, Arizona, United States
| | - George Cholankeril
- Liver Center, Division of Abdominal Transplantation, Michael E DeBakey Department of General Surgery, Baylor College of Medicine, Houston, Texas, United States; Section of Gastroenterology and Hepatology, Department of Medicine, Baylor College of Medicine, Houston, Texas, United States
| | - Aijaz Ahmed
- Division of Gastroenterology and Hepatology, Stanford University School of Medicine, Stanford, CA, United States
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Huang XQ, Wu L, Xue CY, Rao CY, Fang QQ, Chen Y, Xie C, Rao SX, Chen SY, Li F. Non-invasively differentiate non-alcoholic steatohepatitis by visualizing hepatic integrin αvβ3 expression with a targeted molecular imaging modality. World J Hepatol 2024; 16:1290-1305. [PMID: 39606168 PMCID: PMC11586745 DOI: 10.4254/wjh.v16.i11.1290] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/26/2024] [Revised: 08/27/2024] [Accepted: 10/20/2024] [Indexed: 11/06/2024] Open
Abstract
BACKGROUND Non-invasive methods to diagnose non-alcoholic steatohepatitis (NASH), an inflammatory subtype of non-alcoholic fatty liver disease (NAFLD), are currently unavailable. AIM To develop an integrin αvβ3-targeted molecular imaging modality to differentiate NASH. METHODS Integrin αvβ3 expression was assessed in Human LO2 hepatocytes Scultured with palmitic and oleic acids (FFA). Hepatic integrin αvβ3 expression was analyzed in rabbits fed a high-fat diet (HFD) and in rats fed a high-fat, high-carbohydrate diet (HFCD). After synthesis, cyclic arginine-glycine-aspartic acid peptide (cRGD) was labeled with gadolinium (Gd) and used as a contrast agent in magnetic resonance imaging (MRI) performed on mice fed with HFCD. RESULTS Integrin αvβ3 was markedly expressed on FFA-cultured hepatocytes, unlike the control hepatocytes. Hepatic integrin αvβ3 expression significantly increased in both HFD-fed rabbits and HFCD-fed rats as simple fatty liver (FL) progressed to steatohepatitis. The distribution of integrin αvβ3 in the liver of NASH cases largely overlapped with albumin-positive staining areas. In comparison to mice with simple FL, the relative liver MRI-T1 signal value at 60 minutes post-injection of Gd-labeled cRGD was significantly increased in mice with steatohepatitis (P < 0.05), showing a positive correlation with the NAFLD activity score (r = 0.945; P < 0.01). Hepatic integrin αvβ3 expression was significantly upregulated during NASH development, with hepatocytes being the primary cells expressing integrin αvβ3. CONCLUSION After using Gd-labeled cRGD as a tracer, NASH was successfully distinguished by visualizing hepatic integrin αvβ3 expression with MRI.
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Affiliation(s)
- Xiao-Quan Huang
- Department of Gastroenterology and Hepatology, Zhongshan Hospital, Fudan University, Shanghai 200032, China
| | - Ling Wu
- Department of Gastroenterology and Hepatology, Zhongshan Hospital, Fudan University, Shanghai 200032, China
| | - Chun-Yan Xue
- Department of Gastroenterology and Hepatology, Zhongshan Hospital, Fudan University, Shanghai 200032, China
| | - Chen-Yi Rao
- Department of Gastroenterology and Hepatology, Zhongshan Hospital, Fudan University, Shanghai 200032, China
| | - Qing-Qing Fang
- Department of Gastroenterology, Minhang Hospital, Fudan University, Shanghai 201100, China
| | - Ying Chen
- Department of Gastroenterology, Minhang Hospital, Fudan University, Shanghai 201100, China
| | - Cao Xie
- Department of Pharmacy, Fudan University, Shanghai 200032, China
| | - Sheng-Xiang Rao
- Department of Radiology, Zhongshan Hospital, Fudan University, Shanghai 200032, China
| | - Shi-Yao Chen
- Department of Gastroenterology and Hepatology, Zhongshan Hospital, Fudan University, Shanghai 200032, China
- Department of Gastroenterology, Minhang Hospital, Fudan University, Shanghai 201100, China
| | - Feng Li
- Department of Gastroenterology and Hepatology, Zhongshan Hospital, Fudan University, Shanghai 200032, China
- Department of Gastroenterology, Minhang Hospital, Fudan University, Shanghai 201100, China.
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Jo S, Kim JM, Li M, Kim HS, An YJ, Park S. TAT as a new marker and its use for noninvasive chemical biopsy in NASH diagnosis. Mol Med 2024; 30:232. [PMID: 39592957 PMCID: PMC11590374 DOI: 10.1186/s10020-024-00992-8] [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: 09/04/2024] [Accepted: 11/07/2024] [Indexed: 11/28/2024] Open
Abstract
BACKGROUND Early diagnosis of Nonalcoholic steatohepatitis (NASH) is crucial to prevent its progression to hepatocellular carcinoma, but its gold standard diagnosis still requires invasive biopsy. Here, a new marker-based noninvasive chemical biopsy approach is introduced that uses urine-secreted tyrosine metabolites. METHODS We first identified NASH-specific decrease in TAT expression, the first enzyme in the tyrosine degradation pathway (TDP), by employing exometabolome-transcriptome correlations, single-cell RNA -seq, and tissue staining on human NASH patient samples. A selective extrahepatic monitoring of the TAT activity was established by the chemical biopsy exploiting the enzyme's metabolic conversion of D2-tyrosine into D2-4HPP. The approach was applied to a NASH mouse model using the methionine-choline deficient diet, where urine D2-4HPP level was measured with a specific LC-MS detection, following oral administration of D2-tyrosine. RESULTS The noninvasive urine chemical biopsy approach could effectively differentiate NASH from normal mice (normal = 14, NASH = 15, p = 0.0054), correlated with the NASH pathology and TAT level decrease observed with immunostaining on the liver tissue. In addition, we showed that the diagnostic differentiation could be enhanced by measuring the downstream metabolites of TDP. The specificity of the TAT and the related TDP enzymes in NASH were also addressed in other settings employing high fat high fructose mouse NASH model and human obesity vs. NASH cohort. CONCLUSIONS Overall, we propose TAT and TDP as pathology-relevant markers for NASH and present the urine chemical biopsy as a noninvasive modality to evaluate the NASH-specific changes in urine that may help the NASH diagnosis.
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Affiliation(s)
- Sihyang Jo
- Natural Products Research Institute, College of Pharmacy, Seoul National University, Gwanak- Ro 1, Gwanak-gu, Seoul, 08826, Republic of Korea
| | - Jin-Mo Kim
- Natural Products Research Institute, College of Pharmacy, Seoul National University, Gwanak- Ro 1, Gwanak-gu, Seoul, 08826, Republic of Korea
| | - Minshu Li
- Natural Products Research Institute, College of Pharmacy, Seoul National University, Gwanak- Ro 1, Gwanak-gu, Seoul, 08826, Republic of Korea
| | - Han Sun Kim
- Natural Products Research Institute, College of Pharmacy, Seoul National University, Gwanak- Ro 1, Gwanak-gu, Seoul, 08826, Republic of Korea
- Department of Biochemistry, College of Medicine, Dongguk University, Gyeongju, 38066, Republic of Korea
| | - Yong Jin An
- Natural Products Research Institute, College of Pharmacy, Seoul National University, Gwanak- Ro 1, Gwanak-gu, Seoul, 08826, Republic of Korea.
| | - Sunghyouk Park
- Natural Products Research Institute, College of Pharmacy, Seoul National University, Gwanak- Ro 1, Gwanak-gu, Seoul, 08826, Republic of Korea.
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Alshagathrh F, Alzubaidi M, Gecík S, Alswat K, Aldhebaib A, Alahmadi B, Alkubeyyer M, Alosaimi A, Alsadoon A, Alkhamash M, Schneider J, Househ M. Hybrid Deep Learning and Machine Learning for Detecting Hepatocyte Ballooning in Liver Ultrasound Images. Diagnostics (Basel) 2024; 14:2646. [PMID: 39682554 DOI: 10.3390/diagnostics14232646] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2024] [Revised: 11/15/2024] [Accepted: 11/19/2024] [Indexed: 12/18/2024] Open
Abstract
BACKGROUND Hepatocyte ballooning (HB) is a significant histological characteristic linked to the advancement of non-alcoholic fatty liver disease (NAFLD) and non-alcoholic steatohepatitis (NASH). Although clinicians now consider liver biopsy the most reliable method for identifying HB, its invasive nature and related dangers highlight the need for the development of non-invasive diagnostic options. OBJECTIVE This study aims to develop a novel methodology that combines deep learning and machine learning techniques to accurately identify and measure hepatobiliary abnormalities in liver ultrasound images. METHODS The research team expanded the dataset, consisting of ultrasound images, and used it for training deep convolutional neural networks (CNNs) such as InceptionV3, ResNet50, DenseNet121, and EfficientNetB0. A hybrid approach, combining InceptionV3 for feature extraction with a Random Forest classifier, emerged as the most accurate and stable method. An approach of dual dichotomy classification was used to categorize images into two stages: healthy vs. sick, and then mild versus severe ballooning.. Features obtained from CNNs were integrated with conventional machine learning classifiers like Random Forest and Support Vector Machines (SVM). RESULTS The hybrid approach achieved an accuracy of 97.40%, an area under the curve (AUC) of 0.99, and a sensitivity of 99% for the 'Many' class during the third phase of evaluation. The dual dichotomy classification enhanced the sensitivity in identifying severe instances of HB. The cross-validation process confirmed the strength and reliability of the suggested models. CONCLUSIONS These results indicate that this combination method can decrease the need for invasive liver biopsies by providing a non-invasive and precise alternative for early identification and monitoring of NAFLD and NASH. Subsequent research will prioritize the validation of these models using larger datasets from multiple centers to evaluate their generalizability and incorporation into clinical practice.
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Affiliation(s)
- Fahad Alshagathrh
- College of Science and Engineering, Hamad Bin Khalifa University, Doha P.O. Box 34110, Qatar
| | - Mahmood Alzubaidi
- College of Science and Engineering, Hamad Bin Khalifa University, Doha P.O. Box 34110, Qatar
| | - Samuel Gecík
- Faculty of Electrical Engineering and Informatics, Technical University of Košice, Letná 9, 042 00 Košice, Slovakia
| | - Khalid Alswat
- Liver Disease Research Center, College of Medicine, King Saud University, Riyadh 11461, Saudi Arabia
| | - Ali Aldhebaib
- Radiological Sciences Program, College of Applied Medical Sciences, King Saud bin Abdulaziz University for Health Sciences, Riyadh 11426, Saudi Arabia
| | - Bushra Alahmadi
- Department of Pathology and Laboratory Medicine, King Abdulaziz Medical City, Riyadh 11426, Saudi Arabia
| | - Meteb Alkubeyyer
- Radiology Department, King Saud University Medical City, Riyadh 11472, Saudi Arabia
| | - Abdulaziz Alosaimi
- Medical Imaging Department, King Abdulaziz Medical City, Riyadh 11246, Saudi Arabia
| | - Amani Alsadoon
- Liver Disease Research Center, College of Medicine, King Saud University, Riyadh 11461, Saudi Arabia
| | - Maram Alkhamash
- Liver Disease Research Center, College of Medicine, King Saud University, Riyadh 11461, Saudi Arabia
| | - Jens Schneider
- College of Science and Engineering, Hamad Bin Khalifa University, Doha P.O. Box 34110, Qatar
| | - Mowafa Househ
- College of Science and Engineering, Hamad Bin Khalifa University, Doha P.O. Box 34110, Qatar
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73
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Jiang Z, Li X, Yang D, Qu C, Yi J, Gao H. Development and validation of a risk score for detecting non-alcoholic fatty liver disease. Medicine (Baltimore) 2024; 103:e40417. [PMID: 39560577 PMCID: PMC11575981 DOI: 10.1097/md.0000000000040417] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/03/2024] [Accepted: 10/18/2024] [Indexed: 11/20/2024] Open
Abstract
The development of an easy-to-use noninvasive model to screen nonalcoholic fatty liver disease (NAFLD) is warranted. This study aimed to develop and validate a simple noninvasive NAFLD risk score (NARS). We used the National Health and Nutrition Examination Survey 2017 to March 2020 cycle data. The sample size of derivation and validation cohort were 4056 and 2502, separately. The NAFLD was determined by FibroScan® measured controlled attenuation parameter scores of >285 dB/m in the absence of excessive alcohol use, steatogenic medications use, and viral hepatitis. The NARS was derived from a multivariable logistic regression model and variables were selected based on Boruta analysis. The performance of NARS was internally validated and compared with previous models using receiver-operating characteristics curve and C-statistics. The NARS was established using waist circumference, triglycerides, alanine aminotransferase, and fasting glucose, and the total score ranges from 0 to 8, with an increasing risk of NAFLD. NARS demonstrated ideal discrimination in the validation cohort, with C-statistics of 0.832 (95% confidence interval, 0.801-0.824), and was not inferior to any existing models. The optimal cutoff point for predicting NAFLD was obtained at 4 scores with a sensitivity of 82% and specificity of 69%. We reported the derivation and internal validation of a novel and easy-to-use risk score for detecting the presence of NAFLD. NARS demonstrated ideal discrimination performance and was practical in clinical practice for selecting individuals at higher risk of NAFLD for further examination or intervention.
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Affiliation(s)
- Zhili Jiang
- Center for Coronary Heart Disease, Beijing Anzhen Hospital, Capital Medical University, Beijing, China
| | - Xiang Li
- Center for Coronary Heart Disease, Beijing Anzhen Hospital, Capital Medical University, Beijing, China
| | - Duo Yang
- Center for Coronary Heart Disease, Beijing Anzhen Hospital, Capital Medical University, Beijing, China
| | - Chao Qu
- Center for Coronary Heart Disease, Beijing Anzhen Hospital, Capital Medical University, Beijing, China
| | - Jiayi Yi
- Center for Coronary Heart Disease, Beijing Anzhen Hospital, Capital Medical University, Beijing, China
| | - Hai Gao
- Center for Coronary Heart Disease, Beijing Anzhen Hospital, Capital Medical University, Beijing, China
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Le Corvec M, Farrugia MA, Nguyen-Khac E, Régimbeau JM, Dharhri A, Chatelain D, Khamphommala L, Gautier AL, Le Berre N, Frey S, Bronowicki JP, Brunaud L, Maréchal C, Blanchet MC, Frering V, Delwaide J, Kohnen L, Haumann A, Delvenne P, Sarfati-Lebreton M, Tariel H, Bernard J, Toullec A, Boursier J, Bedossa P, Gual P, Anty R, Iannelli A. Blood-based MASH diagnostic in candidates for bariatric surgery using mid-infrared spectroscopy: a European multicenter prospective study. Sci Rep 2024; 14:26452. [PMID: 39488538 PMCID: PMC11531585 DOI: 10.1038/s41598-024-72704-5] [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: 02/28/2024] [Accepted: 09/10/2024] [Indexed: 11/04/2024] Open
Abstract
Metabolic dysfunction-associated steatotic liver disease (MASLD) is common in individuals with obesity. Sexual dimorphism is present in MASLD. A noninvasive test to diagnose the severity of the disease, in particular the presence of Metabolic dysfunction-associated steatohepatitis (MASH), is lacking. This European multicenter prospective study uses a blood test based on mid-infrared (MIR) metabolic fingerprinting of individuals with severe or morbid obesity to diagnose MASH. Three hundred eighty-two individuals with severe or morbid obesity undergoing bariatric surgery were enrolled prospectively. Liver biopsies were obtained during surgery and assessed centrally. An algorithm was defined to calculate a score from the recorded MIR spectrum and to establish a diagnostic threshold to classify patients with MASH. Among the women (n = 217), MASH was diagnosed in 14.3% of cases. For women, the performance in terms of AUC were 0.83 and 0.82 in the calibration and validation groups, respectively. For a threshold of 0.1817, sensitivities were 86% and 70%, specificities were 81% and 75%, PPV were 43% and 32%, NPV were 97% and 94% and ACC were 82% and 74% for the calibration and validation groups, respectively. For men (n = 78; MASH: 33.3%), the performance of the spectral model was poor. The metabolic fingerprint obtained by MIR spectroscopy can rule out MASH in women with severe or morbid obesity. Its value in men needs new studies.Trial registration: ClinicalTrials.gov identifier: ClinicalTrials.gov identifier: NCT03978247 (04/06/2019).
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Affiliation(s)
| | - Marwin A Farrugia
- INSERM U1065, C3M, Nice Hospital, Université Cote d'Azur, Nice, France
| | - Eric Nguyen-Khac
- Department of Gastroenterology, Amiens University Hospital, Picardie University, Amiens, France
| | - Jean-Marc Régimbeau
- Department of Digestive Surgery, Amiens, France
- SSPC (Simplification des Soins des Patients Complexes) - UR7518, Unit of Clinical Research, University of Picardie Jules Verne, Amiens, France
| | - Abdennaceur Dharhri
- Department of Digestive Surgery, Amiens, France
- SSPC (Simplification des Soins des Patients Complexes) - UR7518, Unit of Clinical Research, University of Picardie Jules Verne, Amiens, France
| | - Denis Chatelain
- Department of Pathology, Amiens University and Hospital, Université de Picardie Jules Verne, Amiens, France
| | - Litavan Khamphommala
- Department of Digestive, Hepatobiliary Surgery, Centre Hospitalier Privé Saint-Grégoire, Saint-Gregoire, France
| | - Anne-Lise Gautier
- Biology Laboratory, Centre Hospitalier Privé Saint-Grégoire, Saint-Gregoire, France
| | | | - Sébastien Frey
- Digestive Surgery, University Hospital of Nice, Archet 2 Hospital, Nice, France
| | - Jean-Pierre Bronowicki
- Inserm U1254 and Department of Hepato-Gastroenterology, University Hospital of Nancy Brabois, Université de Lorraine, Vandoeuvre-les-Nancy, France
| | - Laurent Brunaud
- Department of Gastrointestinal, Visceral, Metabolic, and Cancer Surgery (CVMC), Faculté de Medicine, CHRU NANCY, Hopital Brabois adultes, INSERM U1256-NGERE, Université de Lorraine, 54511, Vandoeuvre-les-Nancy, France
| | - Chloé Maréchal
- Inserm U1254 and Department of Hepato-Gastroenterology, University Hospital of Nancy Brabois, Université de Lorraine, Vandoeuvre-les-Nancy, France
| | - Marie-Cécile Blanchet
- Department of General, Visceral and Endocrine Surgery, Clinique de la Sauvegarde, Lyon, France
| | - Vincent Frering
- Department of General, Visceral and Endocrine Surgery, Clinique de la Sauvegarde, Lyon, France
| | - Jean Delwaide
- Department of Hepatology and Gastroenterology, Centre Hospitalier Universitaire de Liège, Liège, Belgium
| | - Laurent Kohnen
- Department of Abdominal Surgery and Transplantation, Centre Hospitalier Universitaire de Liège, Liège, Belgium
| | - Alexandre Haumann
- Department of Abdominal Surgery and Transplantation, Centre Hospitalier Universitaire de Liège, Liège, Belgium
| | - Philippe Delvenne
- Department of Pathology, Clinique Hospitalo-Universitaire (CHU) University Hospital, Liege University, Liege, Belgium
| | - Marine Sarfati-Lebreton
- Department of Hepato-Gastroenterology and Digestive Oncology, Université, Angers University Hospital, Angers, France
| | | | | | | | - Jérôme Boursier
- Department of Hepato-Gastroenterology and Digestive Oncology, Université, Angers University Hospital, Angers, France
| | - Pierre Bedossa
- Department of Pathology, Beaujon Hospital Paris Diderot University, Paris, France
| | - Philippe Gual
- INSERM U1065, C3M, Nice Hospital, Université Cote d'Azur, Nice, France.
| | - Rodolphe Anty
- INSERM U1065, C3M, Nice Hospital, Université Cote d'Azur, Nice, France.
| | - Antonio Iannelli
- INSERM U1065, C3M, Nice Hospital, Université Cote d'Azur, Nice, France
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Gancheva S, Roden M, Castera L. Diabetes as a risk factor for MASH progression. Diabetes Res Clin Pract 2024; 217:111846. [PMID: 39245423 DOI: 10.1016/j.diabres.2024.111846] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/24/2024] [Revised: 08/28/2024] [Accepted: 09/03/2024] [Indexed: 09/10/2024]
Abstract
Non-alcoholic (now: metabolic) steatohepatitis (MASH) is the progressive inflammatory form of metabolic dysfunction-associated steatotic liver disease (MASLD), which often coexists and mutually interacts with type 2 diabetes (T2D), resulting in worse hepatic and cardiovascular outcomes. Understanding the intricate mechanisms of diabetes-related MASH progression is crucial for effective therapeutic strategies. This review delineates the multifaceted pathways involved in this interplay and explores potential therapeutic implications. The synergy between adipose tissue, gut microbiota, and hepatic alterations plays a pivotal role in disease progression. Adipose tissue dysfunction, particularly in the visceral depot, coupled with dysbiosis in the gut microbiota, exacerbates hepatic injury and insulin resistance. Hepatic lipid accumulation, oxidative stress, and endoplasmic reticulum stress further potentiate inflammation and fibrosis, contributing to disease severity. Dietary modification with weight reduction and exercise prove crucial in managing T2D-related MASH. Additionally, various well-known but also novel anti-hyperglycemic medications exhibit potential in reducing liver lipid content and, in some cases, improving MASH histology. Therapies targeting incretin receptors show promise in managing T2D-related MASH, while thyroid hormone receptor-β agonism has proven effective as a treatment of MASH and fibrosis.
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Affiliation(s)
- Sofiya Gancheva
- Department of Endocrinology and Diabetology, Medical Faculty and University Hospital, Heinrich-Heine University, Düsseldorf, Germany; Institute for Clinical Diabetology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University, Düsseldorf, Germany; German Center for Diabetes Research (DZD e.V.), Partner Düsseldorf, München-Neuherberg, Germany
| | - Michael Roden
- Department of Endocrinology and Diabetology, Medical Faculty and University Hospital, Heinrich-Heine University, Düsseldorf, Germany; Institute for Clinical Diabetology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University, Düsseldorf, Germany; German Center for Diabetes Research (DZD e.V.), Partner Düsseldorf, München-Neuherberg, Germany.
| | - Laurent Castera
- Department of Hepatology, Hôpital Beaujon, Assistance Publique-Hôpitaux de Paris, Clichy, France; Université Paris-Cité, INSERM UMR 1149, Centre de Recherche sur l'Inflammation Paris, Montmartre, Paris, France.
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Wang Y, Leaker B, Qiao G, Sojoodi M, Eissa IR, Epstein ET, Eddy J, Dimowo O, Lauer GM, Qadan M, Lanuti M, Chung RT, Fuchs BC, Tanabe KK. Precision-cut liver slices as an ex vivo model to evaluate antifibrotic therapies for liver fibrosis and cirrhosis. Hepatol Commun 2024; 8:e0558. [PMID: 39445861 PMCID: PMC11512631 DOI: 10.1097/hc9.0000000000000558] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/22/2024] [Accepted: 07/24/2024] [Indexed: 10/25/2024] Open
Abstract
BACKGROUND Considering the lack of successful treatment options and poor prognosis for cirrhosis and cirrhosis-induced HCC, new platforms to investigate antifibrotic therapies are urgently needed. Precision-cut liver slice (PCLS) is a powerful ex vivo culture model that can supplement and potentially replace the traditional models. METHODS PCLS were prepared from 4 different murine cirrhotic models (choline-deficient, l-amino acid-defined, high-fat diet, thioacetamide, diethylnitrosamine, and carbon tetrachloride) and compared with in vivo murine experiments, in vitro hepatic stellate cells, and human cirrhotic PCLS. RESULTS PCLS viability in culture was stable for 72 hours. Treatment of erlotinib, an EGF receptor inhibitor, significantly inhibited profibrogenic gene expressions in PCLS from choline-deficient, l-amino acid-defined, high-fat diet or thioacetamide-induced cirrhotic rats. Erlotinib treatment of PCLS from diethylnitrosamine or carbon tetrachloride-induced cirrhotic rats inhibited the expression of profibrogenic genes, which was consistent with the impact of erlotinib on these genes in in vivo diethylnitrosamine or carbon tetrachloride-induced cirrhosis. In addition, in hepatic stellate cells at PCLS from normal mice, erlotinib treatment inhibited TGF-β1-upregulated expression of Acta2. Similar expression results were observed in in vitro hepatic stellate cells. Expression of key regulators of fibrosis progression and regression were also significantly altered. Changes in profibrogenic gene expression under erlotinib treatment were also corroborated with human cirrhotic PCLS. CONCLUSIONS Responses to antifibrotic interventions can be detected and quantified with PCLS at the gene expression level. The antifibrotic effects of erlotinib are consistent between PCLS models of murine cirrhosis and those observed in vivo and in vitro. These results were verified in human cirrhotic PCLS. PCLS is an excellent model for assessing antifibrotic therapies that are aligned with the principles of replacement, reduction, and refinement (3Rs), and it will benefit preclinical and clinical research for human fibrosis and cirrhosis.
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Affiliation(s)
- Yongtao Wang
- Division of Gastrointestinal and Oncologic Surgery, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA
- Liver Center, Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Ben Leaker
- Wellman Center for Photomedicine, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA
- Harvard-MIT program in Health Sciences and Technology, Massachusetts Institute of Technology, Boston, Massachusetts, USA
| | - Guoliang Qiao
- Division of Gastrointestinal and Oncologic Surgery, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Mozhdeh Sojoodi
- Division of Gastrointestinal and Oncologic Surgery, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Ibrahim Ragab Eissa
- Division of Gastrointestinal and Oncologic Surgery, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Eliana T. Epstein
- Liver Center, Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Jonathan Eddy
- Liver Center, Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Oizoshimoshiofu Dimowo
- Liver Center, Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Georg M. Lauer
- Liver Center, Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Motaz Qadan
- Division of Gastrointestinal and Oncologic Surgery, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Michael Lanuti
- Division of Thoracic Surgery, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Raymond T. Chung
- Liver Center, Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Bryan C. Fuchs
- Division of Gastrointestinal and Oncologic Surgery, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Kenneth K. Tanabe
- Division of Gastrointestinal and Oncologic Surgery, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA
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Zheng H, Guo T, Zhao X, Wang K, Shan S, Xie S, Xu Y, Liu C, Lu W. Helicobacter pylori Infection Is Not Associated with Nonalcoholic Fatty Liver Disease: A Two-Year Cohort Study. Dig Dis 2024; 43:75-83. [PMID: 39496224 DOI: 10.1159/000542180] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/02/2024] [Accepted: 10/06/2024] [Indexed: 11/06/2024]
Abstract
INTRODUCTION Previous studies reported inconsistent results of the association between Helicobacter pylori infection and nonalcoholic fatty liver disease (NAFLD). METHODS A cohort study of 2,063 adults without NAFLD at baseline, who participated in a repeated health checkup including a 13C-urea breath test and abdominal ultrasonography, was conducted to evaluate the link between H. pylori infection and NAFLD development. RESULTS During a mean follow-up period of 1.7 years, we did not find a significant association between H. pylori infection and NAFLD (hazard ratio = 1.10 (0.86, 1.40), p = 0.4689). We also found that higher age, body mass index (BMI), systolic blood pressure (systolic BP), diastolic blood pressure (diastolic BP), fasting blood glucose, triglycerides, total cholesterol, low-density lipoprotein cholesterol (LDL-C), alanine aminotransferase (ALT), and aspartate aminotransferase (AST) were risk factors, and high-density lipoprotein cholesterol (HDL-C) was a protective factor for NAFLD development. CONCLUSION H. pylori infection might not be positively related to NAFLD development.
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Affiliation(s)
- Huabo Zheng
- Department of Geriatrics, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Department of Cardiology, Fujian Medical University Union Hospital, Fuzhou, China
| | - Tangmeng Guo
- Department of Geriatrics, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xiaofang Zhao
- Department of Geriatrics, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Kun Wang
- Department of Geriatrics, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Shengshuai Shan
- Clinical and Experimental Therapeutics, College of Pharmacy, University of Georgia, Augusta, Georgia, USA
| | - Songpu Xie
- Laboratory of Experimental Cardiology, Department Heart and Lungs, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Yichen Xu
- Department of Histology and Embryology, Medicine and Life Sciences, Hainan Medical University, Haikou, China
| | - Chengyun Liu
- Department of Geriatrics, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Weilin Lu
- Department of Geriatrics, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
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Reyes-Avendaño I, Villaseñor-Altamirano AB, Reyes-Jimenez E, Velazquez-Enriquez JM, Baltiérrez-Hoyos R, Piña-Vázquez C, Muriel P, Villa-Treviño S, Arellanes-Robledo J, Vásquez-Garzón VR. Identification of key markers for the stages of nonalcoholic fatty liver disease: An integrated bioinformatics analysis and experimental validation. Dig Liver Dis 2024; 56:1887-1896. [PMID: 38824040 DOI: 10.1016/j.dld.2024.05.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/16/2023] [Revised: 03/14/2024] [Accepted: 05/08/2024] [Indexed: 06/03/2024]
Abstract
BACKGROUND The identification of biomarkers for the early diagnosis of nonalcoholic fatty liver disease (NAFLD) is urgently needed. Here, we aimed to identify NAFLD biomarkers in the early stages of steatosis (SS) and nonalcoholic steatohepatitis (NASH) based on differential gene expression from bioinformatics data. METHODS A meta-analysis was performed from transcriptomic databases retrieved from public repositories containing data from biopsies of patients at various stages of NAFLD development. The status of the selected molecules was validated in the serum of patients with NAFLD by ELISA. RESULTS We identified 121 differentially expressed genes (DEGs) associated with SS and 402 associated with NASH. Gene Ontology (GO) enrichment revealed that the altered genes were primarily associated with dysfunction of primary cellular processes, and pathway analyses were mainly related to cholesterol metabolism. We identified ACSS2, PCSK9, and CYP7A1 as candidate biomarkers for SS and ANGPTL3, CD36, CYP51A1, FASN, FAS, FDFT1, and LSS as candidate biomarkers for NASH. CONCLUSIONS By experimental validation of bioinformatics data from patients with NAFLD, we identified promising biomarkers for detecting SS and NASH that might be useful for screening and diagnosing early NAFLD stages in humans.
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Affiliation(s)
- Itayetzi Reyes-Avendaño
- Laboratorio de Fibrosis y Cáncer, Facultad de Medicina y Cirugía, Universidad Autónoma Benito Juárez de Oaxaca, Ex Hacienda de Aguilera S/N, Sur, San Felipe del Agua 68020, Oaxaca, Mexico
| | - Ana Beatriz Villaseñor-Altamirano
- International Laboratory for Human Genome Research, Laboratorio Internacional de Investigación sobre el Genoma Humano (LIIGH), Universidad Nacional Autónoma de México (UNAM), 3001 Boulevard Juriquilla 76230, Querétaro, Mexico
| | - Edilburga Reyes-Jimenez
- Laboratorio de Fibrosis y Cáncer, Facultad de Medicina y Cirugía, Universidad Autónoma Benito Juárez de Oaxaca, Ex Hacienda de Aguilera S/N, Sur, San Felipe del Agua 68020, Oaxaca, Mexico
| | - Juan Manuel Velazquez-Enriquez
- Laboratorio de Fibrosis y Cáncer, Facultad de Medicina y Cirugía, Universidad Autónoma Benito Juárez de Oaxaca, Ex Hacienda de Aguilera S/N, Sur, San Felipe del Agua 68020, Oaxaca, Mexico
| | - Rafael Baltiérrez-Hoyos
- Laboratorio de Fibrosis y Cáncer, Facultad de Medicina y Cirugía, Universidad Autónoma Benito Juárez de Oaxaca, Ex Hacienda de Aguilera S/N, Sur, San Felipe del Agua 68020, Oaxaca, Mexico; CONAHCYT-Facultad de Medicina y Cirugía, Universidad Autónoma Benito Juárez de Oaxaca, Ex Hacienda de Aguilera S/N, Sur, San Felipe del Agua 68020, Oaxaca, Mexico
| | - Carolina Piña-Vázquez
- Departamento de Biología Celular, Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional, Ciudad de México 07360, Mexico
| | - Pablo Muriel
- Laboratorio de Hepatología Experimental, Departamento de Farmacología, Cinvestav-IPN, 07360 Ciudad de México, Mexico
| | - Saul Villa-Treviño
- Departamento de Biología Celular, Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional, Ciudad de México 07360, Mexico
| | - Jaime Arellanes-Robledo
- CONAHCYT-Instituto Nacional de Medicina Genómica, Laboratorio de Enfermedades Hepáticas, Instituto Nacional de Medicina Genómica, Periférico Sur No. 4809, Col. Arenal Tepepan, Alcaldía Tlalpan 14610 Ciudad de México, Mexico
| | - Verónica Rocío Vásquez-Garzón
- Laboratorio de Fibrosis y Cáncer, Facultad de Medicina y Cirugía, Universidad Autónoma Benito Juárez de Oaxaca, Ex Hacienda de Aguilera S/N, Sur, San Felipe del Agua 68020, Oaxaca, Mexico; CONAHCYT-Facultad de Medicina y Cirugía, Universidad Autónoma Benito Juárez de Oaxaca, Ex Hacienda de Aguilera S/N, Sur, San Felipe del Agua 68020, Oaxaca, Mexico.
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Edin C, Ekstedt M, Karlsson M, Wegmann B, Warntjes M, Swahn E, Östgren CJ, Ebbers T, Lundberg P, Carlhäll CJ. Liver fibrosis is associated with left ventricular remodeling: insight into the liver-heart axis. Eur Radiol 2024; 34:7492-7502. [PMID: 38795131 PMCID: PMC11519090 DOI: 10.1007/s00330-024-10798-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2023] [Revised: 03/21/2024] [Accepted: 04/04/2024] [Indexed: 05/27/2024]
Abstract
OBJECTIVE In nonalcoholic fatty liver disease (NAFLD), liver fibrosis is the strongest predictor of adverse outcomes. We sought to investigate the relationship between liver fibrosis and cardiac remodeling in participants from the general population using magnetic resonance imaging (MRI), as well as explore potential mechanistic pathways by analyzing circulating cardiovascular biomarkers. METHODS In this cross-sectional study, we prospectively included participants with type 2 diabetes and individually matched controls from the SCAPIS (Swedish CArdioPulmonary bioImage Study) cohort in Linköping, Sweden. Between November 2017 and July 2018, participants underwent MRI at 1.5 Tesla for quantification of liver proton density fat fraction (spectroscopy), liver fibrosis (stiffness from elastography), left ventricular (LV) structure and function, as well as myocardial native T1 mapping. We analyzed 278 circulating cardiovascular biomarkers using a Bayesian statistical approach. RESULTS In total, 92 participants were enrolled (mean age 59.5 ± 4.6 years, 32 women). The mean liver stiffness was 2.1 ± 0.4 kPa. 53 participants displayed hepatic steatosis. LV concentricity increased across quartiles of liver stiffness. Neither liver fat nor liver stiffness displayed any relationships to myocardial tissue characteristics (native T1). In a regression analysis, liver stiffness was related to increased LV concentricity. This association was independent of diabetes and liver fat (Beta = 0.26, p = 0.0053), but was attenuated (Beta = 0.17, p = 0.077) when also adjusting for circulating levels of interleukin-1 receptor type 2. CONCLUSION MRI reveals that liver fibrosis is associated to structural LV remodeling, in terms of increased concentricity, in participants from the general population. This relationship could involve the interleukin-1 signaling. CLINICAL RELEVANCE STATEMENT Liver fibrosis may be considered a cardiovascular risk factor in patients without cirrhosis. Further research on the mechanisms that link liver fibrosis to left ventricular concentricity may reveal potential therapeutic targets in patients with non-alcoholic fatty liver disease (NAFLD). KEY POINTS Previously, studies on liver fibrosis and cardiac remodeling have focused on advanced stages of liver fibrosis. Liver fibrosis is associated with left ventricular (LV) concentricity and may relate to interleukin-1 receptor type 2. Interleukin-1 signaling is a potential mechanistic interlink between early liver fibrosis and LV remodeling.
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Affiliation(s)
- Carl Edin
- Division of Diagnostics and Specialist Medicine, Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden
- Center for Medical Image Science and Visualization (CMIV), Linköping University, Linköping, Sweden
- Department of Clinical Physiology in Linköping, and Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden
| | - Mattias Ekstedt
- Division of Diagnostics and Specialist Medicine, Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden
- Center for Medical Image Science and Visualization (CMIV), Linköping University, Linköping, Sweden
| | - Markus Karlsson
- Division of Diagnostics and Specialist Medicine, Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden
- Center for Medical Image Science and Visualization (CMIV), Linköping University, Linköping, Sweden
- Department of Radiation Physics, and Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden
| | - Bertil Wegmann
- Center for Medical Image Science and Visualization (CMIV), Linköping University, Linköping, Sweden
- Department of Computer and Information Science, Linköping University, Linköping, Sweden
| | - Marcel Warntjes
- Division of Diagnostics and Specialist Medicine, Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden
- Center for Medical Image Science and Visualization (CMIV), Linköping University, Linköping, Sweden
| | - Eva Swahn
- Division of Diagnostics and Specialist Medicine, Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden
- Department of Cardiology in Linköping, and Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden
| | - Carl Johan Östgren
- Center for Medical Image Science and Visualization (CMIV), Linköping University, Linköping, Sweden
- Division of Prevention, Rehabilitation and Community Medicine, Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden
| | - Tino Ebbers
- Division of Diagnostics and Specialist Medicine, Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden
- Center for Medical Image Science and Visualization (CMIV), Linköping University, Linköping, Sweden
| | - Peter Lundberg
- Division of Diagnostics and Specialist Medicine, Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden
- Center for Medical Image Science and Visualization (CMIV), Linköping University, Linköping, Sweden
- Department of Radiation Physics, and Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden
| | - Carl-Johan Carlhäll
- Division of Diagnostics and Specialist Medicine, Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden.
- Center for Medical Image Science and Visualization (CMIV), Linköping University, Linköping, Sweden.
- Department of Clinical Physiology in Linköping, and Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden.
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Chen M, Guo C, Ouyang K, Liu N. Diagnostic role of the fibrosis-4 index and nonalcoholic fatty liver disease fibrosis score as a noninvasive tool for liver fibrosis scoring. Medicine (Baltimore) 2024; 103:e40214. [PMID: 39470560 PMCID: PMC11521016 DOI: 10.1097/md.0000000000040214] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/27/2024] [Revised: 10/01/2024] [Accepted: 10/04/2024] [Indexed: 10/30/2024] Open
Abstract
Nonalcoholic fatty liver disease (NAFLD) is characterized by liver fibrosis, which serves as a crucial indicator of its progression and prognosis. Owing to the limitations of biopsy, which is the gold standard for measuring liver fibrosis, a reliable and noninvasive marker is required. We evaluated the diagnostic role of the fibrosis-4 (FIB-4) index and nonalcoholic fatty liver disease fibrosis score (NFS) in patients with NAFLD with varying severities of liver fibrosis. The FIB-4 index and NFS were calculated using laboratory data from 121 patients who underwent liver biopsies between January 2022 and December 2023. The results were compared with those of the Scheuer scoring system for liver biopsies (F0, F1 + F2, and F3 + F4) to determine the sensitivity and specificity of the FIB-4 index and the liver disease fibrosis score in detecting and staging liver fibrosis. Twenty-one patients had advanced fibrosis (F3-F4), and 100 had minimal or mild fibrosis (F0-F2). The degree of liver fibrosis increased with decreased albumin, alanine aminotransferase and platelet count levels, and increasing age. Receiver operating characteristic curve analysis for the FIB-4 index and NFS revealed that the areas under the curve for the FIB-4 index and NFS were 0.895 (95% confidence interval: 0.836-0.954) and 0.882 (95% confidence interval: 0.813-0.952), respectively. The FIB-4 indices showed 95.24% sensitivity at a cutoff point of 1.30, and 85% specificity at a cutoff point of 2.67, while the NFS indices showed 95.24% sensitivity at -1.455 cutoff point and 95% specificity at a cutoff point of 0.676. The FIB-4 index and NFS may replace biopsy for the detection of fibrosis in patients with NAFLD.
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Affiliation(s)
- Mingxi Chen
- Department of Infectious Disease and Liver Disease, The Second Hospital of Nanjing, Nanjing, Jiangsu, China
| | - Chang Guo
- Department of Internal Medicine, Shandong Rehabilitation Hospital, Jinan, Shandong, China
| | - Ke Ouyang
- Department of Infectious Disease and Liver Disease, The Second Hospital of Nanjing, Nanjing, Jiangsu, China
| | - Na Liu
- Department of Infectious Disease and Liver Disease, The Second Hospital of Nanjing, Nanjing, Jiangsu, China
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Ohkawa K, Nakabori T, Mukai K, Kozumi K, Urabe M, Kai Y, Takada R, Ikezawa K, Yamaguchi Y, Nagao T, Enomoto H, Tachiki H, Higuchi A, Watanabe N, Nakayama T. Clinical validation of the suppressive impact of letrozole on liver fibrosis in patients with breast cancer undergoing continuous letrozole administration: A retrospective study. PLoS One 2024; 19:e0311930. [PMID: 39446769 PMCID: PMC11500940 DOI: 10.1371/journal.pone.0311930] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2024] [Accepted: 09/26/2024] [Indexed: 10/26/2024] Open
Abstract
Treatment strategies for preventing liver fibrosis have not yet been established. Letrozole, widely used for breast cancer, has recently been reported to suppress liver fibrosis in murine models. Therefore, we aimed to validate the suppressive effects of letrozole on liver fibrosis in the clinical setting. From 2006 to 2020, 23 consecutive patients who received continuous letrozole treatment for 24 months or more and had a liver fibrosis marker FIB-4 index of ≥ 2.30, were included. Forty-three patients who underwent anastrozole treatment for 24 months or more and had a liver fibrosis marker FIB-4 index of ≥ 2.30, were also included as controls. The Fisher exact, chi-square, unpaired Student t, and paired Student t test were used to analyze the data. The patient characteristics were similar between the letrozole- and anastrozole-treated patient groups. Among the letrozole-treated patients, the mean FIB-4 index tended to decline during letrozole treatment; a significant decrease was observed at 18 and 24 months compared with the baseline values (p = 0.044 and p = 0.013). In addition, the mean aspartate aminotransferase-to-platelet ratio index (APRI) decreased during letrozole treatment; the values at 18 and 24 months were significantly lower than those at baseline (p = 0.024 and p = 0.026). In contrast, among anastrozole-treated patients, the mean FIB-4 index and APRI did not change during anastrozole treatment. When changes in the FIB-4 index were further examined in a limited number of patients with a FIB-4 index ≥ 2.67, a significant reduction in the FIB-4 index at 24 months compared with baseline was also observed in letrozole-treated patients (p = 0.023), but not in anastrozole-treated patients. In conclusion, our findings support a possible suppressive effect of letrozole on liver fibrosis in the clinical setting. Further studies are required to better understand the pharmacological effects of letrozole.
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Affiliation(s)
- Kazuyoshi Ohkawa
- Department of Hepatobiliary and Pancreatic Oncology, Osaka International Cancer Institute, Osaka, Japan
| | - Tasuku Nakabori
- Department of Hepatobiliary and Pancreatic Oncology, Osaka International Cancer Institute, Osaka, Japan
| | - Kaori Mukai
- Department of Hepatobiliary and Pancreatic Oncology, Osaka International Cancer Institute, Osaka, Japan
| | - Kazuhiro Kozumi
- Department of Hepatobiliary and Pancreatic Oncology, Osaka International Cancer Institute, Osaka, Japan
| | - Makiko Urabe
- Department of Hepatobiliary and Pancreatic Oncology, Osaka International Cancer Institute, Osaka, Japan
| | - Yugo Kai
- Department of Hepatobiliary and Pancreatic Oncology, Osaka International Cancer Institute, Osaka, Japan
| | - Ryoji Takada
- Department of Hepatobiliary and Pancreatic Oncology, Osaka International Cancer Institute, Osaka, Japan
| | - Kenji Ikezawa
- Department of Hepatobiliary and Pancreatic Oncology, Osaka International Cancer Institute, Osaka, Japan
| | - Yuko Yamaguchi
- Department of Clinical Research and Genetic Oncology, Osaka International Cancer Institute, Osaka, Japan
| | - Takuya Nagao
- Next-Generation Precision Medicine Research Center, Osaka International Cancer Institute, Osaka, Japan
| | - Hatsune Enomoto
- Research & Development Department, Towa Pharmaceutical Co., Ltd., Kadoma, Osaka, Japan
- Scientific Research and Business Development Department, Protosera, Inc., Settsu, Osaka, Japan
| | - Hidehisa Tachiki
- Research & Development Department, Towa Pharmaceutical Co., Ltd., Kadoma, Osaka, Japan
- Scientific Research and Business Development Department, Protosera, Inc., Settsu, Osaka, Japan
| | - Ayako Higuchi
- Department of Breast and Endocrine Surgery, Osaka International Cancer Institute, Osaka, Japan
| | - Noriyuki Watanabe
- Department of Breast and Endocrine Surgery, Osaka International Cancer Institute, Osaka, Japan
| | - Takahiro Nakayama
- Department of Breast and Endocrine Surgery, Osaka International Cancer Institute, Osaka, Japan
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Cheng Z, Hu C, Zhang Y, Zhou J, Shi J, Sun L, Chen Z. The Different Predictive Effects of Multiple Body Fat Indexes on Metabolic Dysfunction-Associated Fatty Liver Disease. Diabetes Metab Syndr Obes 2024; 17:3875-3890. [PMID: 39444658 PMCID: PMC11498041 DOI: 10.2147/dmso.s469859] [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: 07/01/2024] [Accepted: 10/12/2024] [Indexed: 10/25/2024] Open
Abstract
Purpose The aim of this study was to comprehensively compare the predictive effect of 10 body fat indexes on MAFLD in different sex, age and BMI subgroups. Patients and Methods A total of 5403 physical examination data were included and divided into the MAFLD group (N=2632) and non-MAFLD group (N=2771). The differences and correlation of 10 promising indicators between the two groups were compared, including fatty liver index (FLI), hepatic steatosis index (HSI), lipid accumulation product (LAP), visceral fat index (VAI), cardiometabolic index (CMI), body adiposity index (BAI), and triglyceride-glucose index (TyG), waist circumference index (WC), body mass index (BMI), waist to height ratio (WHtR). Logistic regression was used to analyze the risk of MAFLD under different adjustment conditions. The operating characteristic curve of different genders, BMI levels and age subgroups was plotted. Results Male gender, smoking, alcohol drinking, and higher age are risk factors for MAFLD. In addition to BAI, the other 9 indicators had a high correlation with MAFLD, the area under the curve (AUC) value was >0.7, and the prediction effect was better in females, BMI<24 kg/m2, age <35 years subgroup, among which FLI (AUC: 0.912, 95% CI: 0.905-0.920), LAP (AUC: 0.894, 95% CI: 0.8866-0.903), and HSI (AUC: 0.881, 95% CI: 0.872-0.890) have better prediction effects. Conclusion Our study confirmed the accuracy of body fat-related indexes in predicting MAFLD in people of different sexes, ages, and BMI levels. Among them, FLI, LAP and HSI have high predictive value and can be utilized as simple and cost-effective tools for screening MAFLD in clinical settings.
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Affiliation(s)
- Zhen Cheng
- Health Management Centre, First Affiliated Hospital of Army Medical University, Chongqing, People’s Republic of China
| | - Chunyu Hu
- Health Management Centre, First Affiliated Hospital of Army Medical University, Chongqing, People’s Republic of China
| | - Yalan Zhang
- Health Management Centre, First Affiliated Hospital of Army Medical University, Chongqing, People’s Republic of China
| | - Jie Zhou
- Health Management Centre, First Affiliated Hospital of Army Medical University, Chongqing, People’s Republic of China
| | - Jiayang Shi
- Health Management Centre, First Affiliated Hospital of Army Medical University, Chongqing, People’s Republic of China
| | - Li Sun
- Health Management Centre, First Affiliated Hospital of Army Medical University, Chongqing, People’s Republic of China
| | - Zongtao Chen
- Health Management Centre, First Affiliated Hospital of Army Medical University, Chongqing, People’s Republic of China
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Zhao J, Zhou H, Wu R, Ruan C, Wang C, Ding J, Zhang T, Fang Z, Zheng H, Zhang L, Zhou J, Hu Z. Biological aging accelerates hepatic fibrosis: Insights from the NHANES 2017-2020 and genome-wide association study analysis. Ann Hepatol 2024; 30:101579. [PMID: 39426601 DOI: 10.1016/j.aohep.2024.101579] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/16/2024] [Revised: 08/06/2024] [Accepted: 08/21/2024] [Indexed: 10/21/2024]
Abstract
INTRODUCTION AND OBJECTIVES This study aimed to investigate the association between biological aging and liver fibrosis in patients with metabolic dysfunction-associated steatotic liver disease (MASLD). MATERIALS AND METHODS We analyzed NHANES 2017-2020 data to calculate phenotypic age. Hepatic steatosis and fibrosis were identified using controlled attenuation parameters (CAP), fatty liver index (FLI) and transient elastography (TE). The odds ratios (ORs) and 95 % confidence intervals (CI) for significant MASLD fibrosis were calculated using multivariate logistic regression, and subgroup analyses were performed. We explored the potential causal relationship between telomere length and liver fibrosis using Mendelian randomization (MR). Additionally, we used the expression quantitative trait loci (eQTL) method and GSE197112 data to identify genes related to liver fibrosis and senescence. Finally, the APOLD1 expression was validated using GSE89632. RESULTS Phenotypic age was associated with liver fibrosis occurrence in MASLD (OR = 1.08, 95 % CI 1.05-1.12). Subgroup analyses by BMI and age revealed differences. For obese or young to middle-aged MASLD patients, phenotypic age is significantly associated with liver fibrosis. (OR = 1.14, 95 % CI 1.10-1.18; OR = 1.07, 95 % CI 1.01-1.14 and OR = 1.14, 95 % CI 1.07-1.22). MR revealed a negative association between telomere length and liver fibrosis (IVW method: OR = 0.63288, 95 % CI 0.42498-0.94249). The gene APOLD1 was identified as a potential target through the intersection of the GEO dataset and eQTL genes. CONCLUSIONS This study emphasized the link between biological aging and fibrosis in young to middle-aged obese MASLD patients. We introduced phenotypic age as a clinical indicator and identified APOLD1 as a potential therapeutic target.
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Affiliation(s)
- Jiaxin Zhao
- Department of Hepatobiliary and Pancreatic Surgery, Department of Surgery, Fourth Affiliated Hospital, School of Medicine, Zhejiang University, Yiwu, Zhejiang 322000, China
| | - Huiying Zhou
- Department of Hepatobiliary and Pancreatic Surgery, Department of Surgery, Fourth Affiliated Hospital, School of Medicine, Zhejiang University, Yiwu, Zhejiang 322000, China
| | - Rui Wu
- Department of Hepatobiliary and Pancreatic Surgery, Department of Surgery, Fourth Affiliated Hospital, School of Medicine, Zhejiang University, Yiwu, Zhejiang 322000, China
| | - Chen Ruan
- Department of Acupuncture, Tongde Hospital of Zhejiang Province, Hangzhou, Zhejiang 310000, China
| | - Cheng Wang
- Department of Hepatobiliary and Pancreatic Surgery, Department of Surgery, Fourth Affiliated Hospital, School of Medicine, Zhejiang University, Yiwu, Zhejiang 322000, China
| | - Jiawei Ding
- Department of Hepatobiliary and Pancreatic Surgery, Department of Surgery, Fourth Affiliated Hospital, School of Medicine, Zhejiang University, Yiwu, Zhejiang 322000, China
| | - Tao Zhang
- Department of Hepatobiliary and Pancreatic Surgery, Department of Surgery, Fourth Affiliated Hospital, School of Medicine, Zhejiang University, Yiwu, Zhejiang 322000, China
| | - Zheyu Fang
- Department of Neurology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang 325000, China
| | - Huilin Zheng
- Zhejiang Provincial Collaborative Innovation Center of Agricultural Biological Resource Biochemical Manufacturing, School of Biological and Chemical Engineering, Zhejiang University of Science and Technology, Hangzhou, Zhejiang 310000, China
| | - Lei Zhang
- Zhejiang Provincial Collaborative Innovation Center of Agricultural Biological Resource Biochemical Manufacturing, School of Biological and Chemical Engineering, Zhejiang University of Science and Technology, Hangzhou, Zhejiang 310000, China
| | - Jie Zhou
- Department of Hepatobiliary and Pancreatic Surgery, Department of Surgery, First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang 310000, China.
| | - Zhenhua Hu
- Department of Hepatobiliary and Pancreatic Surgery, Department of Surgery, Fourth Affiliated Hospital, School of Medicine, Zhejiang University, Yiwu, Zhejiang 322000, China; Department of Hepatobiliary and Pancreatic Surgery, Department of Surgery, First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang 310000, China.
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Abd El Hamid AA, Mohamed AE, Mohamed MS, Amin GEED, Elessawy HAA, Allam MF. The effect of probiotic supplementation on non-alcoholic fatty liver disease (NAFLD) fibrosis score in patients attending a tertiary hospital clinic in Cairo, Egypt. BMC Gastroenterol 2024; 24:354. [PMID: 39379797 PMCID: PMC11462796 DOI: 10.1186/s12876-024-03424-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/01/2024] [Accepted: 09/18/2024] [Indexed: 10/10/2024] Open
Abstract
BACKGROUND Non-alcoholic fatty liver disease (NAFLD) is characterized by hepatic fat accumulation (> 5% of liver tissue) in the absence of alcohol abuse or other chronic liver diseases. NAFLD can progress to non-alcoholic steatohepatitis (NASH), fibrosis, cirrhosis, and hepatocellular carcinoma (HCC). This study aimed to assess the efficacy of probiotic (lactobacillus) supplementation on NAFLD fibrosis score. METHODOLOGY A double-arm randomized controlled trial was conducted in the family medicine clinic of a tertiary hospital, enrolling patients with sonographic evidence of NAFLD. Fifty patients were divided into two groups: the Probiotic group received lifestyle modification instructions along with daily probiotic supplementation for twelve weeks, with regular monthly follow-up visits. The Standard Treatment group received low-fat diet and lifestyle modification instructions only. RESULTS The mean age of participants was 46.10 years (SD 10.11), with 70% females and 30% males. The study found a statistically significant difference in liver enzymes (ALT and AST) and BMI in the probiotic group before and after intervention. However, there was no significant difference in NAFLD fibrosis score between the two groups. CONCLUSION Short-term probiotic treatment resulted in improvements in ALT, AST, and BMI in the probiotic group, but did not significantly affect NAFLD fibrosis score. Further research with larger sample sizes and longer follow-up periods is warranted. TRIAL REGISTRATION The clinical trial was registered at Protocol Registration and Results System with number NCT06074094 (12/09/2021).
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Affiliation(s)
| | - Azza Emam Mohamed
- Gastroenterology and Hepatology, Internal Medicine Department, Ain Shams University, Cairo, Egypt
| | - Manal Sabry Mohamed
- Gastroenterology and Hepatology, Internal Medicine Department, Ain Shams University, Cairo, Egypt
| | - Ghada Essam El-Din Amin
- Department of Family Medicine, Faculty of Medicine, Ain Shams University, Cairo, Egypt
- Department of Community, Environmental and Occupational Medicine, Faculty of Medicine, Ain Shams University, Cairo, Egypt
| | | | - Mohamed Farouk Allam
- Department of Family Medicine, Faculty of Medicine, Ain Shams University, Cairo, Egypt.
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Silverii GA, Profili F, Francesconi P, Mannucci E. Fibrosis-4 score for screening of metabolic dysfunction-associated steatotic liver disease (MASLD): Data from a population-based sample in Tuscany. Nutr Metab Cardiovasc Dis 2024; 34:2405-2408. [PMID: 38890093 DOI: 10.1016/j.numecd.2024.05.016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/29/2024] [Revised: 05/12/2024] [Accepted: 05/13/2024] [Indexed: 06/20/2024]
Abstract
BACKGROUND AND AIM To verify the prevalence of positive Fibrosis-4 (FIB-4) score, a screening test for metabolic-associated liver disease, in a large population-based sample in the Tuscany Italian Region, and to identify sub-populations at higher risk which could be targeted by specific screening programs. METHODS AND RESULTS Population-based survey performed in the Italian region of Tuscany, with Tuscany health informative system's administrative data. We included 594,923 subjects, of which 32% had available data for the FIB-4 calculation. The overall proportion of subjects with an FIB-4 value > 1.3, was 41.6% of those with available exams, and 12,8% of the whole population, whereas 5.4% and 1.7% had FIB-4 >2.67. In those younger than 80 years, FIB >1.3 had a 33.1% and 9.4%. People with diabetes mellitus had higher figures (52.8.% and 28.9% for FIB>1.3). Among subjects aged 70 years or over, 74.9% of those with available data and 38.4% of the general population had a FIB-4>1.3, whereas 32% and 16% had a FIB-4 > 2. CONCLUSIONS The relevant proportion of FIB-4 positivity in the general population poses a significant burden for further screening with liver elastography. Targeting people with diabetes, excluding people older than 80 years and/or adopting a FIB-4 threshold of 2 in those aged more than 70 years could increase the cost-effectiveness of the screening procedures.
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Affiliation(s)
- Giovanni Antonio Silverii
- Experimental and Clinical Biomedical Sciences "Mario Serio" Department, University of Florence Careggi Hospital, Diabetology Unit Largo Brambilla 3, 50134, Florence, Italy.
| | | | | | - Edoardo Mannucci
- Experimental and Clinical Biomedical Sciences "Mario Serio" Department, University of Florence Careggi Hospital, Diabetology Unit Largo Brambilla 3, 50134, Florence, Italy
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Wei X, Qi S, Wei X, Qiu L, Du X, Liu Y, Xu H, Zhao J, Chen S, Zhang J. Inflammation activity affects liver stiffness measurement by magnetic resonance elastography in MASLD. Dig Liver Dis 2024; 56:1715-1720. [PMID: 38744558 DOI: 10.1016/j.dld.2024.04.031] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/20/2023] [Revised: 03/28/2024] [Accepted: 04/27/2024] [Indexed: 05/16/2024]
Abstract
BACKGROUND Magnetic resonance elastography (MRE) is recognized as the most precise imaging technology for assessing liver fibrosis in individuals with metabolic dysfunction-associated steatotic liver disease (MASLD). We aimed to investigate the clinical factors and pathological characteristics that may impact LSM in MASLD patients. METHODS This cross-sectional study recruited 124 patients who concurrently performed MRE, MRI-PDFF, and biopsy-proven MASLD. Linear regression models, Spearman's correlation, and subgroup analysis were employed to identify the variables affecting LSM. RESULTS The AUROC (95 % CI) of MRE for diagnosing fibrosis stage ≥ 1, 2, 3, and 4 was 0.80 (0.70-0.90), 0.76 (0.66-0.85), 0.92 (0.86-0.99), and 0.99 (0.99-1.00), with corresponding cutoffs of 2.56, 2.88, 3.35, and 4.76 kPa, respectively. Multivariate analyses revealed that AST was the only independent clinical variable significantly correlated with LSM. Furthermore, LSM exhibited a notable association with the grade of lobular inflammation and hepatocellular ballooning. Subgroup analysis showed that when AST ≥ 2 ULN or inflammation grade ≥ 2, LSM of patients with early fibrosis stages showed a slight but significant increase. CONCLUSION MRE demonstrates significant diagnostic accuracy in predicting liver fibrosis stages for MASLD patients, especially for advanced liver fibrosis and cirrhosis. However, elevated AST and the severity of liver inflammation may impact its accuracy in staging early liver fibrosis.
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Affiliation(s)
- Xiaodie Wei
- The Third Unit, Department of Hepatology, Beijing Youan Hospital, Capital Medical University, Beijing, China
| | - Shi Qi
- Department of Radiology, Beijing Youan Hospital, Capital Medical University, Beijing, China
| | - Xinhuan Wei
- The Third Unit, Department of Hepatology, Beijing Youan Hospital, Capital Medical University, Beijing, China
| | - Lixia Qiu
- The Third Unit, Department of Hepatology, Beijing Youan Hospital, Capital Medical University, Beijing, China
| | - Xiaofei Du
- The Third Unit, Department of Hepatology, Beijing Youan Hospital, Capital Medical University, Beijing, China
| | - Yali Liu
- The Third Unit, Department of Hepatology, Beijing Youan Hospital, Capital Medical University, Beijing, China
| | - Hangfei Xu
- The Third Unit, Department of Hepatology, Beijing Youan Hospital, Capital Medical University, Beijing, China
| | - Jinhan Zhao
- The Third Unit, Department of Hepatology, Beijing Youan Hospital, Capital Medical University, Beijing, China
| | - Sitong Chen
- The Third Unit, Department of Hepatology, Beijing Youan Hospital, Capital Medical University, Beijing, China
| | - Jing Zhang
- The Third Unit, Department of Hepatology, Beijing Youan Hospital, Capital Medical University, Beijing, China.
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87
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Njei B, Ameyaw P, Al-Ajlouni Y, Njei LP, Boateng S. Diagnosis and Management of Lean Metabolic Dysfunction-Associated Steatotic Liver Disease (MASLD): A Systematic Review. Cureus 2024; 16:e71451. [PMID: 39544615 PMCID: PMC11560387 DOI: 10.7759/cureus.71451] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/13/2024] [Indexed: 11/17/2024] Open
Abstract
Lean metabolic dysfunction-associated steatotic liver disease (MASLD) defies traditional views of fatty liver diseases by manifesting in nonobese individuals. The renaming from nonalcoholic fatty liver disease to MASLD underscores a broader understanding of its pathophysiology, highlighting the complex interplay of metabolic factors beyond obesity. Despite its clinical importance, diagnosing and managing lean MASLD remains challenging due to its historical ties to obesity and a general lack of awareness about its unique characteristics. On December 4, 2023, a systematic literature search was conducted across six databases, focusing on peer-reviewed studies in English related to the diagnosis and management of lean MASLD. This study was registered with the International Prospective Register of Systematic Reviews (CRD42023489308). Out of 95 studies following Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines, 43 addressed diagnosis and surveillance, whereas 52 explored management strategies. The results revealed the difficulties in diagnosing lean MASLD, pointing out the limitations of traditional markers and the potential of advanced imaging techniques. Management strategies discussed included lifestyle changes and possible pharmacological treatments tailored to the specific metabolic features of this patient group. The study highlights the necessity for increased clinical awareness, regular monitoring, and personalized therapeutic approaches for lean MASLD. It calls for further research to refine diagnostic criteria and develop targeted treatments, aiming to enhance care for individuals with lean MASLD.
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Affiliation(s)
- Basile Njei
- Department of Medicine, Yale School of Medicine, New Haven, USA
| | - Prince Ameyaw
- Department of Internal Medicine, Bridgeport Hospital, Yale New Haven Health, Bridgeport, USA
| | | | - Lea-Pearl Njei
- Department of Medicine, University of Maryland, Baltimore, USA
| | - Sarpong Boateng
- Department of Medicine, Yale Affiliated Hospitals Program, New Haven, USA
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Hagström H, Shang Y, Hegmar H, Nasr P. Natural history and progression of metabolic dysfunction-associated steatotic liver disease. Lancet Gastroenterol Hepatol 2024; 9:944-956. [PMID: 39243773 DOI: 10.1016/s2468-1253(24)00193-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/09/2024] [Revised: 06/05/2024] [Accepted: 06/06/2024] [Indexed: 09/09/2024]
Abstract
The natural history of metabolic dysfunction-associated steatotic liver disease (MASLD), previously referred to as non-alcoholic fatty liver disease (NAFLD), is complex and long. A minority of patients develop inflammation and risk progressive fibrosis that can result in cirrhosis. Progression to cirrhosis occurs in 3-5% of patients and often takes more than 20 years. This narrative review presents an update on the natural history of MASLD, discussing studies and risk estimates for progression to severe outcomes, such as decompensated cirrhosis or hepatocellular carcinoma. We highlight the dynamic progression of liver damage, how to identify patients whose disease progresses over time, and how risk factors might be mitigated to reduce the risk for disease progression.
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Affiliation(s)
- Hannes Hagström
- Division of Hepatology, Department of Upper GI, Karolinska University Hospital, Stockholm, Sweden; Department of Medicine, Karolinska Institutet, Stockholm, Sweden.
| | - Ying Shang
- Department of Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Hannes Hegmar
- Division of Hepatology, Department of Upper GI, Karolinska University Hospital, Stockholm, Sweden; Department of Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Patrik Nasr
- Department of Medicine, Karolinska Institutet, Stockholm, Sweden; Department of Health, Medicine, and Caring Sciences, Linköping University, Linköping, Sweden; Wallenberg Centre for Molecular Medicine, Linköping University, Linköping, Sweden
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Uzun GS, Bulat B, Ayan G, Kılıç L, Kalyoncu U. Liver fibrosis in inflammatory arthritis patients treated with methotrexate and hydroxychloroquine: A FIB-4 index analysis. Int J Rheum Dis 2024; 27:e15390. [PMID: 39439367 DOI: 10.1111/1756-185x.15390] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2024] [Revised: 10/09/2024] [Accepted: 10/11/2024] [Indexed: 10/25/2024]
Abstract
OBJECTIVES To evaluate the risk of liver fibrosis and associated factors with the non-invasive fibrosis score-4 (FIB-4) index in patients with inflammatory arthritis using methotrexate (MTX). METHODS Patients with rheumatoid arthritis (RA) and psoriatic arthritis (PsA) who were followed up in the rheumatology outpatient clinic, who were on methotrexate only and for whom FIB-4 index was could be calculated at methotrexate initiation and follow-up were included. The FIB-4 index was calculated according to the following formula: age (years) × AST(IU/L)/(platelet count(10 (9)/L) × √ALT(IU/L)). The patients' demographics, comorbidities, other treatments, cumulative MTX dose, and reasons for MTX cessation were assessed. For the multivariate analysis, possible factors associated with intermediate-high risk FIB-4 index at last visit were determined. RESULTS A total of 107 patients were enrolled in the study, of whom 82 (76.6%) had RA and 25 (23.4%) had PsA. At the initiation of MTX, 24 (22.4%) patients had intermediate-high risk FIB-4 index. Comorbidities and the rate of ≥3-4 Charlson comorbidity index were more common in patients with intermediate-high risk FIB-4 index. A total of 37 (34.5%) patients had intermediate-high risk FIB-4 index at the last visit after median 3.6 (0.3-22.06) years follow-up. The median cumulative MTX dose was 2550 mg (1050-13.991). Cumulative MTX dose [OR 1.18 (1.01-1.33), p = .03] and diabetes mellitus [OR 4.60 (1.74-12.50), p = .002] were associated factors with intermediate-high risk FIB-4 index. The concomitant use of hydroxychloroquine (HCQ) was found to be a low-risk factor for FIB-4 index [OR 0.28 (0.10-0.78) p = .015]. CONCLUSION The FIB-4 index is a non-invasive method that can be used in daily rheumatology practice for the evaluation and follow-up of patients who will use methotrexate. Comorbidities and cumulative MTX dose seem to be related with the risk of liver fibrosis. Concomitant use of HCQ with MTX may reduce the risk of liver fibrosis.
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Affiliation(s)
- Güllü Sandal Uzun
- Division of Rheumatology, Department of Internal Medicine, Hacettepe University Faculty of Medicine, Ankara, Turkey
| | - Buğu Bulat
- Division of Rheumatology, Department of Internal Medicine, Hacettepe University Faculty of Medicine, Ankara, Turkey
| | - Gizem Ayan
- Division of Rheumatology, Department of Internal Medicine, Hacettepe University Faculty of Medicine, Ankara, Turkey
| | - Levent Kılıç
- Division of Rheumatology, Department of Internal Medicine, Hacettepe University Faculty of Medicine, Ankara, Turkey
| | - Umut Kalyoncu
- Division of Rheumatology, Department of Internal Medicine, Hacettepe University Faculty of Medicine, Ankara, Turkey
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90
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Yang C, Wu J, Yang L, Hu Q, Li L, Yang Y, Hu J, Pan D, Zhao Q. Altered gut microbial profile accompanied by abnormal short chain fatty acid metabolism exacerbates nonalcoholic fatty liver disease progression. Sci Rep 2024; 14:22385. [PMID: 39333290 PMCID: PMC11436816 DOI: 10.1038/s41598-024-72909-8] [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: 02/24/2024] [Accepted: 09/11/2024] [Indexed: 09/29/2024] Open
Abstract
Dysregulation of the gut microbiome has associated with the occurrence and progression of non-alcoholic fatty liver disease (NAFLD). To determine the diagnostic capacity of this association, we compared fecal microbiomes across 104 participants including non-NAFLD controls and NAFLD subtypes patients that were distinguished by magnetic resonance imaging. We measured their blood biochemical parameters, 16 S rRNA-based gut microbiota and fecal short-chain fatty acids (SCFAs). Multi-omic analyses revealed that NAFLD patients exhibited specific changes in gut microbiota and fecal SCFAs as compared to non-NAFLD subjects. Four bacterial genera (Faecalibacterium, Subdoligranulum, Haemophilus, and Roseburia) and two fecal SCFAs profiles (acetic acid, and butyric acid) were closely related to NAFLD phenotypes and could accurately distinguish NAFLD patients from healthy non-NAFLD subjects. Twelve genera belonging to Faecalibacterium, Subdoligranulum, Haemophilus, Intestinibacter, Agathobacter, Lachnospiraceae_UCG-004, Roseburia, Butyricicoccus, Actinomycetales_unclassified, [Eubacterium]_ventriosum_group, Rothia, and Rhodococcus were effective to distinguish NAFLD subtypes. Of them, combination of five genera can distinguish effectively mild NAFLD from non-NAFLD with an area under curve (AUC) of 0.84. Seven genera distinguish moderate NAFLD with an AUC of 0.83. Eight genera distinguish severe NAFLD with an AUC of 0.90. In our study, butyric acid distinguished mild-NAFLD from non-NAFLD with AUC value of 0.83. And acetic acid distinguished moderate-NAFLD and severe-NAFLD from non-NAFLD with AUC value of 0.84 and 0.70. In summary, our study and further analysis showed that gut microbiota and fecal SCFAs maybe a method with convenient detection advantages and invasive manner that are not only a good prediction model for early warning of NAFLD occurrence, but also have a strong ability to distinguish NAFLD subtypes.
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Affiliation(s)
- Chao Yang
- Department of Public Health and Preventive Medicine, Wuxi School of Medicine, Jiangnan University, No. 1800, Lihu Avenue, Binhu District, Wuxi, 214000, China.
| | - Jiale Wu
- Department of Public Health and Preventive Medicine, Wuxi School of Medicine, Jiangnan University, No. 1800, Lihu Avenue, Binhu District, Wuxi, 214000, China
| | - Ligang Yang
- Key Laboratory of Environmental Medicine and Engineering of Ministry of Education, and Department of Nutrition and Food Hygiene, School of Public Health, Southeast University, Nanjing, 210009, China
| | - Qiaosheng Hu
- Lianshui People's Hospital Affiliated to Kangda College of Nanjing Medical University, Huai'an, 223400, Jiangsu, China
| | - Lihua Li
- Lianshui People's Hospital Affiliated to Kangda College of Nanjing Medical University, Huai'an, 223400, Jiangsu, China
| | - Yafang Yang
- Department of Public Health and Preventive Medicine, Wuxi School of Medicine, Jiangnan University, No. 1800, Lihu Avenue, Binhu District, Wuxi, 214000, China
| | - Jing Hu
- Department of Public Health and Preventive Medicine, Wuxi School of Medicine, Jiangnan University, No. 1800, Lihu Avenue, Binhu District, Wuxi, 214000, China
| | - Da Pan
- Key Laboratory of Environmental Medicine and Engineering of Ministry of Education, and Department of Nutrition and Food Hygiene, School of Public Health, Southeast University, Nanjing, 210009, China
| | - Qing Zhao
- Lianshui People's Hospital Affiliated to Kangda College of Nanjing Medical University, Huai'an, 223400, Jiangsu, China
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Baser O, Samayoa G, Yapar N, Baser E. Artificial Intelligence in Identifying Patients With Undiagnosed Nonalcoholic Steatohepatitis. JOURNAL OF HEALTH ECONOMICS AND OUTCOMES RESEARCH 2024; 11:86-94. [PMID: 39351190 PMCID: PMC11441708 DOI: 10.36469/001c.123645] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/16/2024] [Accepted: 09/13/2024] [Indexed: 10/04/2024]
Abstract
Background: Although increasing in prevalence, nonalcoholic steatohepatitis (NASH) is often undiagnosed in clinical practice. Objective: This study identified patients in the Veterans Affairs (VA) health system who likely had undiagnosed NASH using a machine learning algorithm. Methods: From a VA data set of 25 million adult enrollees, the study population was divided into NASH-positive, non-NASH, and at-risk cohorts. We performed a claims data analysis using a machine learning algorithm. To build our model, the study population was randomly divided into an 80% training subset and a 20% testing subset and tested and trained using a cross-validation technique. In addition to the baseline model, a gradient-boosted classification tree, naïve Bayes, and random forest model were created and compared using receiver operator characteristics, area under the curve, and accuracy. The best performing model was retrained on the full 80% training subset and applied to the 20% testing subset to calculate the performance metrics. Results: In total, 4 223 443 patients met the study inclusion criteria, of whom 4903 were positive for NASH and 35 528 were non-NASH patients. The remainder was in the at-risk patient cohort, of which 514 997 patients (12%) were identified as likely to have NASH. Age, obesity, and abnormal liver function tests were the top determinants in assigning NASH probability. Conclusions: Utilization of machine learning to predict NASH allows for wider recognition, timely intervention, and targeted treatments to improve or mitigate disease progression and could be used as an initial screening tool.
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Affiliation(s)
- Onur Baser
- Graduate School of Public Health, City University of New York, New York, NY, USA
- University of Michigan Medical School, Ann Arbor, Michigan, USA
- John D. Dingell VA Center, Detroit, Michigan, USA
| | | | - Nehir Yapar
- Columbia Data Analytics, Ann Arbor, Michigan, USA
| | - Erdem Baser
- Columbia Data Analytics, Ann Arbor, Michigan, USA
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92
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Yu J, Guo P. Association between dietary intake of carotenoids and metabolic dysfunction-associated fatty liver disease in US adults: National Health and Nutrition Examination Survey 2017-March 2020. Public Health Nutr 2024; 27:e168. [PMID: 39313756 PMCID: PMC11504986 DOI: 10.1017/s1368980024001502] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2023] [Revised: 06/14/2024] [Accepted: 07/15/2024] [Indexed: 09/25/2024]
Abstract
OBJECTIVE To assess the relationship between dietary intake of α-carotene, β-carotene, β-cryptoxanthin, lycopene and lutein+zeaxanthin (LZ) and occurrence of metabolic dysfunction-associated fatty liver disease (MAFLD). DESIGN Cross-sectional study design. The MAFLD diagnosis was based on hepatic steatosis and metabolic dysregulation. Carotenoid intake was adjusted for using an energy-adjusted model. Logistic regression and restricted cubic spline (RCS) analyses were used to assess the relationships, with sensitivity analysis to validate the findings. Weighted quantile sum regression (WQS) was used to explore the combined effect of these carotenoids on MAFLD. Subgroup analyses were conducted to identify population-specific associations. SETTING National Health and Nutrition Examination Survey (NHANES) 2017-March 2020. PARTICIPANTS This study included 5098 individuals aged 18 years and older. RESULTS After adjusting for potential confounders, a weak inverse association was observed between α-carotene and β-carotene intakes and MAFLD occurrence (all P value <0·05). The highest quartile of β-carotene intake showed a significantly lower occurrence of MAFLD compared with the lowest quartile (OR = 0·65; 95 % CI: 0·44, 0·97). RCS analysis showed that a significantly lower occurrence of MAFLD was associated with a higher intake of the four carotenoids, excluding lycopene. Furthermore, the WQS analysis revealed a negative relationship between combined carotenoid intake and MAFLD occurrence (OR = 0·95, 95 % CI: 0·90, 1·00, P = 0·037). Subgroup analyses showed dietary carotenoid intake was associated with reduced MAFLD occurrence in populations aged 50-69 years, females, physically active individuals and non-drinkers. CONCLUSION Higher dietary intake of carotenoids is associated with lower MAFLD occurrence. However, this relationship varies among individuals of different ages, sexes and lifestyles.
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Affiliation(s)
- Jiahui Yu
- The Center of Gastrointestinal and Minimally Invasive Surgery, Department of General Surgery, The Third People’s Hospital of Chengdu/The Affiliated Hospital of Southwest Jiaotong University, Chengdu, People’s Republic of China
| | - Peisen Guo
- The Center of Gastrointestinal and Minimally Invasive Surgery, Department of General Surgery, The Third People’s Hospital of Chengdu/The Affiliated Hospital of Southwest Jiaotong University, Chengdu, People’s Republic of China
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93
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Romeo S, Chan C, Matsukuma K, Corwin MT, Lyo V, Chen S, Wang G, Sarkar S. Positron emission tomography combined with serum biomarkers detects fibrotic MASH. Sci Rep 2024; 14:21939. [PMID: 39304687 DOI: 10.1038/s41598-024-72655-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2023] [Accepted: 09/06/2024] [Indexed: 09/22/2024] Open
Abstract
Metabolic dysfunction-associated steatohepatitis (MASH) is a rising global disease signaling the urgent need for non-invasive tests (NITs). Recent work demonstrated that dynamic 18F-fluorodeoxyglucose (FDG) positron emission tomography (PET)/computed tomography (CT) imaging can identify MASH by measuring liver glucose transport rate, K1, and liver CT attenuation. By combining dynamic PET/CT with the serum-based fibrosis-4 (FIB-4) test, we were able to better distinguish clinical MASH from fibrotic subtypes, enabling determination of the core tenets of MASH: steatosis, inflammation, and fibrosis. Future studies using FDG-PET technology can further enable concomitant prediction of MASH severity and extrahepatic comorbidities such as cardiovascular disease.
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Affiliation(s)
- Sean Romeo
- Division of Gastroenterology and Hepatology, Department of Internal Medicine, University of California, Davis, CA, USA
| | - Connie Chan
- School of Medicine, University of California, Davis, CA, USA
| | - Karen Matsukuma
- Department of Pathology and Laboratory Medicine, University of California, Davis, CA, USA
| | - Michael T Corwin
- Department of Radiology, University of California, Davis, CA, USA
| | - Victoria Lyo
- Department of Surgery, University of California, Davis, CA, USA
| | - Shuai Chen
- Division of Biostatistics, Department of Public Health Sciences, University of California, Davis, CA, USA
| | - Guobao Wang
- Department of Radiology, University of California, Davis, CA, USA
| | - Souvik Sarkar
- Division of Gastroenterology and Hepatology, Department of Internal Medicine, University of California, Davis, CA, USA.
- Department of Radiology, University of California, Davis, CA, USA.
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94
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Faienza MF, Farella I, Khalil M, Portincasa P. Converging Pathways between Metabolic Dysfunction-Associated Steatotic Liver Disease (MASLD) and Diabetes in Children. Int J Mol Sci 2024; 25:9924. [PMID: 39337412 PMCID: PMC11432101 DOI: 10.3390/ijms25189924] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2024] [Revised: 09/07/2024] [Accepted: 09/12/2024] [Indexed: 09/30/2024] Open
Abstract
In the past thirty years, childhood obesity rates have risen significantly worldwide, affecting over 340 million children in affluent nations. This surge is intricately tied to metabolic disorders, notably insulin resistance, type 2 diabetes mellitus (T2DM), and the continually evolving spectrum of metabolic-associated (dysfunction) steatotic liver disease (MASLD). This review underscores the alarming escalation of childhood obesity and delves comprehensively into the evolving and dynamic changes of nomenclature surrounding diverse conditions of hepatic steatosis, from the initial recognition of non-alcoholic fatty liver disease (NAFLD) to the progressive evolution into MASLD. Moreover, it emphasizes the crucial role of pediatric endocrinologists in thoroughly and accurately investigating MASLD onset in children with T2DM, where each condition influences and exacerbates the progression of the other. This review critically highlights the inadequacies of current screening strategies and diagnosis, stressing the need for a paradigm shift. A proposed solution involves the integration of hepatic magnetic resonance imaging assessment into the diagnostic arsenal for children showing insufficient glycemic control and weight loss post-T2DM diagnosis, thereby complementing conventional liver enzyme testing. This holistic approach aims to significantly enhance diagnostic precision, fostering improved outcomes in this vulnerable high-risk pediatric population.
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Affiliation(s)
- Maria Felicia Faienza
- Pediatric Unit, Department of Precision and Regenerative Medicine and Ionian Area (DiMePre-J), Medical School, University of Bari “Aldo Moro”, 70124 Bari, Italy
| | - Ilaria Farella
- Clinica Medica “A. Murri”, Department of Precision and Regenerative Medicine and Ionian Area (DiMePre-J), Medical School, University of Bari “Aldo Moro”, 70124 Bari, Italy; (I.F.); (M.K.)
| | - Mohamad Khalil
- Clinica Medica “A. Murri”, Department of Precision and Regenerative Medicine and Ionian Area (DiMePre-J), Medical School, University of Bari “Aldo Moro”, 70124 Bari, Italy; (I.F.); (M.K.)
| | - Piero Portincasa
- Clinica Medica “A. Murri”, Department of Precision and Regenerative Medicine and Ionian Area (DiMePre-J), Medical School, University of Bari “Aldo Moro”, 70124 Bari, Italy; (I.F.); (M.K.)
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95
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Li T, Zhao J, Cao H, Han X, Lu Y, Jiang F, Li X, Sun J, Zhou S, Sun Z, Wang W, Ding Y, Li X. Dietary patterns in the progression of metabolic dysfunction-associated fatty liver disease to advanced liver disease: a prospective cohort study. Am J Clin Nutr 2024; 120:518-527. [PMID: 39029661 PMCID: PMC11393393 DOI: 10.1016/j.ajcnut.2024.07.015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2024] [Revised: 06/22/2024] [Accepted: 07/16/2024] [Indexed: 07/21/2024] Open
Abstract
BACKGROUND Metabolic dysfunction-associated fatty liver disease (MAFLD) is a significant health problem. Dietary intervention plays an important role in patients with MAFLD. OBJECTIVES We aimed to provide a reference for dietary patterns in patients with MAFLD. METHODS The presence of MAFLD was determined in the United Kingdom Biobank cohort. Nine dietary pattern scores were derived from the dietary records. Multivariable Cox regression models were used to estimate the hazard ratios (HRs) and 95% confidence intervals (CIs). The contrast test was employed to calculate the heterogeneity across MAFLD statuses. RESULTS We identified 175,300 patients with MAFLD at baseline. Compared with non-MAFLD, MAFLD was significantly associated with chronic liver disease (CLD) (HR: 3.48; 95% CI: 3.15, 3.84), severe liver disease (SLD) (HR: 2.87; 95% CI: 2.63, 3.14), liver cancer (HR: 1.93; 95% CI: 1.67, 2.23), and liver-related death (LRD) (HR: 1.93; 95% CI: 1.67, 2.23). In the overall cohort, the alternate Mediterranean diet (aMED) (HRCLD: 0.53; 95% CI: 0.37, 0.76; HRSLD: 0.52; 95% CI: 0.37, 0.72), planetary health diet (PHD) (HRCLD: 0.62; 95% CI: 0.47, 0.81; HRSLD: 0.65; 95% CI: 0.51, 0.83), plant-based low-carbohydrate diet (pLCD) (HRCLD: 0.65; 95% CI: 0.49, 0.86; HRSLD: 0.66; 95% CI: 0.51, 0.85), and healthful plant-based diet index (hPDI) (HRCLD: 0.63; 95% CI: 0.47, 0.84; HRSLD: 0.61; 95% CI: 0.47, 0.78) were associated with a lower risk of CLD and SLD. Additionally, unhealthful plant-based diet index (uPDI) was associated with increased risk of CLD (HR: 1.42; 95% CI: 1.09,1.85), SLD (HR: 1.50; 95% CI: 1.19, 1.90), and LRD (HR: 1.88; 95% CI: 1.28-2.78). The aforementioned associations remained consistently strong within the MAFLD subgroup while exhibiting less pronounced in the non-MAFLD group. However, no significant heterogeneity was observed across different MAFLD statuses. CONCLUSIONS These findings highlight the detrimental effects of MAFLD on the development of subsequent liver diseases and the importance of dietary patterns in managing MAFLD.
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Affiliation(s)
- Tengfei Li
- Department of Hepatobiliary and Pancreatic Surgery, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China; Department of Big Data in Health Science School of Public Health and The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China; Key Laboratory of Precision Diagnosis and Treatment for Hepatobiliary and Pancreatic Tumor of Zhejiang Province, Hangzhou, Zhejiang, China; Research Center of Diagnosis and Treatment Technology for Hepatocellular Carcinoma of Zhejiang Province, Hangzhou, Zhejiang, China; National Innovation Center for Fundamental Research on Cancer Medicine, Hangzhou, Zhejiang, China; Cancer Center, Zhejiang University, Hangzhou, Zhejiang, China; ZJU-Pujian Research & Development Center of Medical Artificial Intelligence for Hepatobiliary and Pancreatic Disease, Hangzhou, Zhejiang, China
| | - Jianhui Zhao
- Department of Big Data in Health Science School of Public Health and The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Haoze Cao
- Department of Hepatobiliary and Pancreatic Surgery, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China; Key Laboratory of Precision Diagnosis and Treatment for Hepatobiliary and Pancreatic Tumor of Zhejiang Province, Hangzhou, Zhejiang, China; Research Center of Diagnosis and Treatment Technology for Hepatocellular Carcinoma of Zhejiang Province, Hangzhou, Zhejiang, China; National Innovation Center for Fundamental Research on Cancer Medicine, Hangzhou, Zhejiang, China; Cancer Center, Zhejiang University, Hangzhou, Zhejiang, China; ZJU-Pujian Research & Development Center of Medical Artificial Intelligence for Hepatobiliary and Pancreatic Disease, Hangzhou, Zhejiang, China
| | - Xin Han
- Department of Hepatobiliary and Pancreatic Surgery, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China; Key Laboratory of Precision Diagnosis and Treatment for Hepatobiliary and Pancreatic Tumor of Zhejiang Province, Hangzhou, Zhejiang, China; Research Center of Diagnosis and Treatment Technology for Hepatocellular Carcinoma of Zhejiang Province, Hangzhou, Zhejiang, China; National Innovation Center for Fundamental Research on Cancer Medicine, Hangzhou, Zhejiang, China; Cancer Center, Zhejiang University, Hangzhou, Zhejiang, China; ZJU-Pujian Research & Development Center of Medical Artificial Intelligence for Hepatobiliary and Pancreatic Disease, Hangzhou, Zhejiang, China
| | - Ying Lu
- Department of Big Data in Health Science School of Public Health and The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Fangyuan Jiang
- Department of Big Data in Health Science School of Public Health and The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Xinxuan Li
- Department of Big Data in Health Science School of Public Health and The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Jing Sun
- Department of Big Data in Health Science School of Public Health and The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Siyun Zhou
- Department of Big Data in Health Science School of Public Health and The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Zhongquan Sun
- Department of Hepatobiliary and Pancreatic Surgery, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China; Key Laboratory of Precision Diagnosis and Treatment for Hepatobiliary and Pancreatic Tumor of Zhejiang Province, Hangzhou, Zhejiang, China; Research Center of Diagnosis and Treatment Technology for Hepatocellular Carcinoma of Zhejiang Province, Hangzhou, Zhejiang, China; National Innovation Center for Fundamental Research on Cancer Medicine, Hangzhou, Zhejiang, China; Cancer Center, Zhejiang University, Hangzhou, Zhejiang, China; ZJU-Pujian Research & Development Center of Medical Artificial Intelligence for Hepatobiliary and Pancreatic Disease, Hangzhou, Zhejiang, China
| | - Weilin Wang
- Department of Hepatobiliary and Pancreatic Surgery, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China; Key Laboratory of Precision Diagnosis and Treatment for Hepatobiliary and Pancreatic Tumor of Zhejiang Province, Hangzhou, Zhejiang, China; Research Center of Diagnosis and Treatment Technology for Hepatocellular Carcinoma of Zhejiang Province, Hangzhou, Zhejiang, China; National Innovation Center for Fundamental Research on Cancer Medicine, Hangzhou, Zhejiang, China; Cancer Center, Zhejiang University, Hangzhou, Zhejiang, China; ZJU-Pujian Research & Development Center of Medical Artificial Intelligence for Hepatobiliary and Pancreatic Disease, Hangzhou, Zhejiang, China.
| | - Yuan Ding
- Department of Hepatobiliary and Pancreatic Surgery, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China; Key Laboratory of Precision Diagnosis and Treatment for Hepatobiliary and Pancreatic Tumor of Zhejiang Province, Hangzhou, Zhejiang, China; Research Center of Diagnosis and Treatment Technology for Hepatocellular Carcinoma of Zhejiang Province, Hangzhou, Zhejiang, China; National Innovation Center for Fundamental Research on Cancer Medicine, Hangzhou, Zhejiang, China; Cancer Center, Zhejiang University, Hangzhou, Zhejiang, China; ZJU-Pujian Research & Development Center of Medical Artificial Intelligence for Hepatobiliary and Pancreatic Disease, Hangzhou, Zhejiang, China.
| | - Xue Li
- Department of Big Data in Health Science School of Public Health and The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China; Centre for Global Health, Usher Institute, University of Edinburgh, Edinburgh, United Kingdom
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Abdelhameed F, Kite C, Lagojda L, Dallaway A, Chatha KK, Chaggar SS, Dalamaga M, Kassi E, Kyrou I, Randeva HS. Non-invasive Scores and Serum Biomarkers for Fatty Liver in the Era of Metabolic Dysfunction-associated Steatotic Liver Disease (MASLD): A Comprehensive Review From NAFLD to MAFLD and MASLD. Curr Obes Rep 2024; 13:510-531. [PMID: 38809396 PMCID: PMC11306269 DOI: 10.1007/s13679-024-00574-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 05/14/2024] [Indexed: 05/30/2024]
Abstract
PURPOSE OF REVIEW The prevalence of non-alcoholic fatty liver disease (NAFLD) is rapidly increasing worldwide, making it the leading cause of liver related morbidity and mortality. Currently, liver biopsy is the gold standard for assessing individuals with steatohepatitis and fibrosis. However, its invasiveness, sampling variability, and impracticality for large-scale screening has driven the search for non-invasive methods for early diagnosis and staging. In this review, we comprehensively summarise the evidence on the diagnostic performance and limitations of existing non-invasive serum biomarkers and scores in the diagnosis and evaluation of steatosis, steatohepatitis, and fibrosis. RECENT FINDINGS Several non-invasive serum biomarkers and scores have been developed over the last decade, although none has successfully been able to replace liver biopsy. The introduction of new NAFLD terminology, namely metabolic dysfunction-associated fatty liver disease (MAFLD) and more recently metabolic dysfunction-associated steatotic liver disease (MASLD), has initiated a debate on the interchangeability of these terminologies. Indeed, there is a need for more research on the variability of the performance of non-invasive serum biomarkers and scores across the diagnostic entities of NAFLD, MAFLD and MASLD. There remains a significant need for finding valid and reliable non-invasive methods for early diagnosis and assessment of steatohepatitis and fibrosis to facilitate prompt risk stratification and management to prevent disease progression and complications. Further exploration of the landscape of MASLD under the newly defined disease subtypes is warranted, with the need for more robust evidence to support the use of commonly used serum scores against the new MASLD criteria and validation of previously developed scores.
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Affiliation(s)
- Farah Abdelhameed
- Warwickshire Institute for the Study of Diabetes, Endocrinology and Metabolism (WISDEM), University Hospitals Coventry and Warwickshire NHS Trust, Coventry, CV2 2DX, UK
- Institute for Cardiometabolic Medicine, University Hospitals Coventry and Warwickshire NHS Trust, Coventry, CV2 2DX, UK
| | - Chris Kite
- Warwickshire Institute for the Study of Diabetes, Endocrinology and Metabolism (WISDEM), University Hospitals Coventry and Warwickshire NHS Trust, Coventry, CV2 2DX, UK
- School of Health and Society, Faculty of Education, Health and Wellbeing, University of Wolverhampton, Wolverhampton, WV1 1LY, UK
- Centre for Sport, Exercise and Life Sciences, Research Institute for Health & Wellbeing, Coventry University, Coventry, CV1 5FB, UK
- Chester Medical School, University of Chester, Shrewsbury, SY3 8HQ, UK
| | - Lukasz Lagojda
- Warwickshire Institute for the Study of Diabetes, Endocrinology and Metabolism (WISDEM), University Hospitals Coventry and Warwickshire NHS Trust, Coventry, CV2 2DX, UK
- Clinical Evidence-Based Information Service (CEBIS), University Hospitals Coventry and Warwickshire NHS Trust, Coventry, CV2 2DX, UK
| | - Alexander Dallaway
- Warwickshire Institute for the Study of Diabetes, Endocrinology and Metabolism (WISDEM), University Hospitals Coventry and Warwickshire NHS Trust, Coventry, CV2 2DX, UK
- School of Health and Society, Faculty of Education, Health and Wellbeing, University of Wolverhampton, Wolverhampton, WV1 1LY, UK
| | - Kamaljit Kaur Chatha
- Department of Biochemistry and Immunology, University Hospitals Coventry and Warwickshire NHS Trust, Coventry, CV2 2DX, UK
- Institute for Cardiometabolic Medicine, University Hospitals Coventry and Warwickshire NHS Trust, Coventry, CV2 2DX, UK
| | | | - Maria Dalamaga
- Department of Biological Chemistry, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Eva Kassi
- Department of Biological Chemistry, Medical School, National and Kapodistrian University of Athens, Athens, Greece
- First Department of Propaupedic and Internal Medicine, Endocrine Unit, Laiko Hospital, National and Kapodistrian University of Athens, 11527, Athens, Greece
| | - Ioannis Kyrou
- Warwickshire Institute for the Study of Diabetes, Endocrinology and Metabolism (WISDEM), University Hospitals Coventry and Warwickshire NHS Trust, Coventry, CV2 2DX, UK.
- Warwick Medical School, University of Warwick, Coventry, CV4 7AL, UK.
- Centre for Sport, Exercise and Life Sciences, Research Institute for Health & Wellbeing, Coventry University, Coventry, CV1 5FB, UK.
- Institute for Cardiometabolic Medicine, University Hospitals Coventry and Warwickshire NHS Trust, Coventry, CV2 2DX, UK.
- Aston Medical School, College of Health and Life Sciences, Aston University, Birmingham, B4 7ET, UK.
- College of Health, Psychology and Social Care, University of Derby, Derby, DE22 1GB, UK.
- Laboratory of Dietetics and Quality of Life, Department of Food Science and Human Nutrition, School of Food and Nutritional Sciences, Agricultural University of Athens, 11855, Athens, Greece.
| | - Harpal S Randeva
- Warwickshire Institute for the Study of Diabetes, Endocrinology and Metabolism (WISDEM), University Hospitals Coventry and Warwickshire NHS Trust, Coventry, CV2 2DX, UK.
- Warwick Medical School, University of Warwick, Coventry, CV4 7AL, UK.
- Centre for Sport, Exercise and Life Sciences, Research Institute for Health & Wellbeing, Coventry University, Coventry, CV1 5FB, UK.
- Institute for Cardiometabolic Medicine, University Hospitals Coventry and Warwickshire NHS Trust, Coventry, CV2 2DX, UK.
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97
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Al-Ozairi E, Irshad M, AlKandari J, Mashankar A, Alroudhan D, le Roux CW. Liver fibrosis and liver stiffness in patients with obesity and type 1 diabetes. Diabetes Obes Metab 2024; 26:4052-4059. [PMID: 38984381 DOI: 10.1111/dom.15760] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/16/2024] [Revised: 06/11/2024] [Accepted: 06/18/2024] [Indexed: 07/11/2024]
Abstract
AIM To compare hepatic stiffness and fat fraction in patients with obesity and type 1 diabetes (T1D) with type 2 diabetes (T2D) with a similar body mass index (BMI). METHODS In this prospective cross-sectional study, 90 participants with T1D (BMI 30.5 ± 4.5 kg/m2; diabetes duration 20.5 ± 9.8 years; HbA1c 8.2% ± 1.4%) and 69 with T2D (BMI: 30.8 ± 4.6 kg/m2; diabetes duration: 11.7 ± 7.8 years; HbA1c: 7.3% ± 1.4%) were included. Liver fat fraction and stiffness were examined by magnetic resonance imaging and elastography, respectively. Logistic regressions were used to evaluate associations with biomedical variables. RESULTS The mean liver stiffness score in patients with obesity and T1D was 2.2 ± 0.5 kPa, while in T2D it was 2.6 ± 0.8 kPa (P < .001). The liver fat fraction in patients with obesity and T1D was 3.7% ± 6.3%, and in T2D it was 10.6% ± 7.9% (P < .001). Metabolic dysfunction-associated steatotic liver disease (MASLD) was present in 13.3% of patients with T1D and in 69.6% of patients with T2D, whereas fibrosis was suggested in 7.8% of patients with T1D and in 27.5% of patients with T2D. Liver stiffness was four times higher in patients with T2D compared with those with T1D (odds ratio = 5.4, 95% confidence interval: 2.1-13.6, P < .001). Aspartate transaminase (AST), alanine transaminase, gamma-glutamyl transferase (GGT), triglycerides and the android-to-gynoid ratio were associated with elevated fat fraction in both cohorts. AST and GGT were associated with elevated liver stiffness in both cohorts. CONCLUSIONS Patients with obesity and T1D had lower liver fat and liver stiffness compared with those patients with T2D, despite similar levels of BMI, a longer duration of diabetes and worse glycaemic control.
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Affiliation(s)
- Ebaa Al-Ozairi
- DAFNE Unit, Clinical Care Research and Clinical Trials Unit, Dasman Diabetes Institute, Kuwait City, Kuwait
| | - Mohammad Irshad
- DAFNE Unit, Clinical Care Research and Clinical Trials Unit, Dasman Diabetes Institute, Kuwait City, Kuwait
| | - Jumana AlKandari
- DAFNE Unit, Clinical Care Research and Clinical Trials Unit, Dasman Diabetes Institute, Kuwait City, Kuwait
- Amiri Hospital, Ministry of Health, Kuwait City, Kuwait
| | - Anant Mashankar
- Diagnostic Imaging Centre, Dasman Diabetes Institute, Kuwait City, Kuwait
| | - Dherar Alroudhan
- DAFNE Unit, Clinical Care Research and Clinical Trials Unit, Dasman Diabetes Institute, Kuwait City, Kuwait
- Amiri Hospital, Ministry of Health, Kuwait City, Kuwait
| | - Carel W le Roux
- DAFNE Unit, Clinical Care Research and Clinical Trials Unit, Dasman Diabetes Institute, Kuwait City, Kuwait
- Diabetes Complications Research Centre, University College Dublin, Dublin, Ireland
- Diabetes Research Centre, Ulster University, Belfast, UK
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98
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Pierce TT, Ozturk A, Sherlock SP, Moura Cunha G, Wang X, Li Q, Hunt D, Middleton MS, Martin M, Corey KE, Edenbaum H, Shankar SS, Heymann H, Kamphaus TN, Calle RA, Covarrubias Y, Loomba R, Obuchowski NA, Sanyal AJ, Sirlin CB, Fowler KJ, Samir AE. Reproducibility and Repeatability of US Shear-Wave and Transient Elastography in Nonalcoholic Fatty Liver Disease. Radiology 2024; 312:e233094. [PMID: 39254458 PMCID: PMC11427856 DOI: 10.1148/radiol.233094] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2023] [Revised: 05/13/2024] [Accepted: 06/03/2024] [Indexed: 09/11/2024]
Abstract
Background US shear-wave elastography (SWE) and vibration-controlled transient elastography (VCTE) enable assessment of liver stiffness, an indicator of fibrosis severity. However, limited reproducibility data restrict their use in clinical trials. Purpose To estimate SWE and VCTE measurement variability in nonalcoholic fatty liver disease (NAFLD) within and across systems to support clinical trial diagnostic enrichment and clinical interpretation of longitudinal liver stiffness. Materials and Methods This prospective, observational, cross-sectional study (March 2021 to November 2021) enrolled adults with NAFLD, stratified according to the Fibrosis-4 (FIB-4) index (≤1.3, >1.3 and <2.67, ≥2.67), at two sites to assess SWE with five US systems and VCTE with one system. Each participant underwent 12 elastography examinations over two separate days within 1 week, with each day's examinations conducted by a different operator. VCTE and SWE measurements were reported in units of meters per second. The primary end point was the different-day, different-operator reproducibility coefficient (RDCDDDO) pooled across systems for SWE and individually for VCTE. Secondary end points included system-specific RDCDDDO, same-day, same-operator repeatability coefficient (RCSDSO), and between-system same-day, same-operator reproducibility coefficient. The planned sample provided 80% power to detect a pooled RDCDDDO of less than 35%, the prespecified performance threshold. Results A total of 40 participants (mean age, 60 years ± 10 [SD]; 24 women) with low (n = 17), intermediate (n = 15), and high (n = 8) FIB-4 scores were enrolled. RDCDDDO was 30.7% (95% upper bound, 34.4%) for SWE and 35.6% (95% upper bound, 43.9%) for VCTE. SWE system-specific RDCDDDO varied from 24.2% to 34.3%. The RCSDSO was 21.0% for SWE (range, 13.9%-35.0%) and 19.6% for VCTE. The SWE between-system same-day, same-operator reproducibility coefficient was 52.7%. Conclusion SWE met the prespecified threshold, RDCDDDO less than 35%, with VCTE having a higher RDCDDDO. SWE variability was higher between different systems. These estimates advance liver US-based noninvasive test qualification by (a) defining expected variability, (b) establishing that serial examination variability is lower when performed with the same system, and (c) informing clinical trial design. ClinicalTrials.gov Identifier NCT04828551 © RSNA, 2024 Supplemental material is available for this article.
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Affiliation(s)
- Theodore T Pierce
- From the Center for Ultrasound Research and Translation, Massachusetts General Hospital, 55 Fruit St, White Bldg, Rm 270, Boston, MA 02114 (T.T.P., A.O., X.W., Q.L., D.H., M.M., H.E., A.E.S.); Harvard Medical School, Boston, Mass (T.T.P., A.O., Q.L., A.E.S.); Pfizer, Cambridge, Mass (S.P.S.); Department of Radiology, University of Washington, Seattle, Wash (G.M.C.); Department of Ultrasound, Shenzhen University General Hospital, Shenzhen, China (Q.L.); Department of Radiology, Liver Imaging Group, University of California San Diego, La Jolla, Calif (M.S.M., Y.C., C.B.S., K.J.F.); MGH Fatty Liver Program, Gastrointestinal Unit, Massachusetts General Hospital, Boston, Mass (K.E.C.); BioAge Labs, Richmond, Calif (S.S.S.); Foundation for the National Institutes of Health, North Bethesda, Md (H.H., T.N.K.); Regeneron Pharmaceuticals, Tarrytown, NY (R.A.C.); Department of Medicine, Division of Gastroenterology, NAFLD Research Center, University of California at San Diego, La Jolla, Calif (R.L.); Quantitative Health Sciences, Cleveland Clinic Foundation, Cleveland, Ohio (N.A.O.); and Department of Internal Medicine, Division of Internal Medicine, Division of Gastroenterology, Virginia Commonwealth University Medical Center, Richmond, Va (A.J.S.)
| | - Arinc Ozturk
- From the Center for Ultrasound Research and Translation, Massachusetts General Hospital, 55 Fruit St, White Bldg, Rm 270, Boston, MA 02114 (T.T.P., A.O., X.W., Q.L., D.H., M.M., H.E., A.E.S.); Harvard Medical School, Boston, Mass (T.T.P., A.O., Q.L., A.E.S.); Pfizer, Cambridge, Mass (S.P.S.); Department of Radiology, University of Washington, Seattle, Wash (G.M.C.); Department of Ultrasound, Shenzhen University General Hospital, Shenzhen, China (Q.L.); Department of Radiology, Liver Imaging Group, University of California San Diego, La Jolla, Calif (M.S.M., Y.C., C.B.S., K.J.F.); MGH Fatty Liver Program, Gastrointestinal Unit, Massachusetts General Hospital, Boston, Mass (K.E.C.); BioAge Labs, Richmond, Calif (S.S.S.); Foundation for the National Institutes of Health, North Bethesda, Md (H.H., T.N.K.); Regeneron Pharmaceuticals, Tarrytown, NY (R.A.C.); Department of Medicine, Division of Gastroenterology, NAFLD Research Center, University of California at San Diego, La Jolla, Calif (R.L.); Quantitative Health Sciences, Cleveland Clinic Foundation, Cleveland, Ohio (N.A.O.); and Department of Internal Medicine, Division of Internal Medicine, Division of Gastroenterology, Virginia Commonwealth University Medical Center, Richmond, Va (A.J.S.)
| | - Sarah P Sherlock
- From the Center for Ultrasound Research and Translation, Massachusetts General Hospital, 55 Fruit St, White Bldg, Rm 270, Boston, MA 02114 (T.T.P., A.O., X.W., Q.L., D.H., M.M., H.E., A.E.S.); Harvard Medical School, Boston, Mass (T.T.P., A.O., Q.L., A.E.S.); Pfizer, Cambridge, Mass (S.P.S.); Department of Radiology, University of Washington, Seattle, Wash (G.M.C.); Department of Ultrasound, Shenzhen University General Hospital, Shenzhen, China (Q.L.); Department of Radiology, Liver Imaging Group, University of California San Diego, La Jolla, Calif (M.S.M., Y.C., C.B.S., K.J.F.); MGH Fatty Liver Program, Gastrointestinal Unit, Massachusetts General Hospital, Boston, Mass (K.E.C.); BioAge Labs, Richmond, Calif (S.S.S.); Foundation for the National Institutes of Health, North Bethesda, Md (H.H., T.N.K.); Regeneron Pharmaceuticals, Tarrytown, NY (R.A.C.); Department of Medicine, Division of Gastroenterology, NAFLD Research Center, University of California at San Diego, La Jolla, Calif (R.L.); Quantitative Health Sciences, Cleveland Clinic Foundation, Cleveland, Ohio (N.A.O.); and Department of Internal Medicine, Division of Internal Medicine, Division of Gastroenterology, Virginia Commonwealth University Medical Center, Richmond, Va (A.J.S.)
| | - Guilherme Moura Cunha
- From the Center for Ultrasound Research and Translation, Massachusetts General Hospital, 55 Fruit St, White Bldg, Rm 270, Boston, MA 02114 (T.T.P., A.O., X.W., Q.L., D.H., M.M., H.E., A.E.S.); Harvard Medical School, Boston, Mass (T.T.P., A.O., Q.L., A.E.S.); Pfizer, Cambridge, Mass (S.P.S.); Department of Radiology, University of Washington, Seattle, Wash (G.M.C.); Department of Ultrasound, Shenzhen University General Hospital, Shenzhen, China (Q.L.); Department of Radiology, Liver Imaging Group, University of California San Diego, La Jolla, Calif (M.S.M., Y.C., C.B.S., K.J.F.); MGH Fatty Liver Program, Gastrointestinal Unit, Massachusetts General Hospital, Boston, Mass (K.E.C.); BioAge Labs, Richmond, Calif (S.S.S.); Foundation for the National Institutes of Health, North Bethesda, Md (H.H., T.N.K.); Regeneron Pharmaceuticals, Tarrytown, NY (R.A.C.); Department of Medicine, Division of Gastroenterology, NAFLD Research Center, University of California at San Diego, La Jolla, Calif (R.L.); Quantitative Health Sciences, Cleveland Clinic Foundation, Cleveland, Ohio (N.A.O.); and Department of Internal Medicine, Division of Internal Medicine, Division of Gastroenterology, Virginia Commonwealth University Medical Center, Richmond, Va (A.J.S.)
| | - Xiaohong Wang
- From the Center for Ultrasound Research and Translation, Massachusetts General Hospital, 55 Fruit St, White Bldg, Rm 270, Boston, MA 02114 (T.T.P., A.O., X.W., Q.L., D.H., M.M., H.E., A.E.S.); Harvard Medical School, Boston, Mass (T.T.P., A.O., Q.L., A.E.S.); Pfizer, Cambridge, Mass (S.P.S.); Department of Radiology, University of Washington, Seattle, Wash (G.M.C.); Department of Ultrasound, Shenzhen University General Hospital, Shenzhen, China (Q.L.); Department of Radiology, Liver Imaging Group, University of California San Diego, La Jolla, Calif (M.S.M., Y.C., C.B.S., K.J.F.); MGH Fatty Liver Program, Gastrointestinal Unit, Massachusetts General Hospital, Boston, Mass (K.E.C.); BioAge Labs, Richmond, Calif (S.S.S.); Foundation for the National Institutes of Health, North Bethesda, Md (H.H., T.N.K.); Regeneron Pharmaceuticals, Tarrytown, NY (R.A.C.); Department of Medicine, Division of Gastroenterology, NAFLD Research Center, University of California at San Diego, La Jolla, Calif (R.L.); Quantitative Health Sciences, Cleveland Clinic Foundation, Cleveland, Ohio (N.A.O.); and Department of Internal Medicine, Division of Internal Medicine, Division of Gastroenterology, Virginia Commonwealth University Medical Center, Richmond, Va (A.J.S.)
| | - Qian Li
- From the Center for Ultrasound Research and Translation, Massachusetts General Hospital, 55 Fruit St, White Bldg, Rm 270, Boston, MA 02114 (T.T.P., A.O., X.W., Q.L., D.H., M.M., H.E., A.E.S.); Harvard Medical School, Boston, Mass (T.T.P., A.O., Q.L., A.E.S.); Pfizer, Cambridge, Mass (S.P.S.); Department of Radiology, University of Washington, Seattle, Wash (G.M.C.); Department of Ultrasound, Shenzhen University General Hospital, Shenzhen, China (Q.L.); Department of Radiology, Liver Imaging Group, University of California San Diego, La Jolla, Calif (M.S.M., Y.C., C.B.S., K.J.F.); MGH Fatty Liver Program, Gastrointestinal Unit, Massachusetts General Hospital, Boston, Mass (K.E.C.); BioAge Labs, Richmond, Calif (S.S.S.); Foundation for the National Institutes of Health, North Bethesda, Md (H.H., T.N.K.); Regeneron Pharmaceuticals, Tarrytown, NY (R.A.C.); Department of Medicine, Division of Gastroenterology, NAFLD Research Center, University of California at San Diego, La Jolla, Calif (R.L.); Quantitative Health Sciences, Cleveland Clinic Foundation, Cleveland, Ohio (N.A.O.); and Department of Internal Medicine, Division of Internal Medicine, Division of Gastroenterology, Virginia Commonwealth University Medical Center, Richmond, Va (A.J.S.)
| | - David Hunt
- From the Center for Ultrasound Research and Translation, Massachusetts General Hospital, 55 Fruit St, White Bldg, Rm 270, Boston, MA 02114 (T.T.P., A.O., X.W., Q.L., D.H., M.M., H.E., A.E.S.); Harvard Medical School, Boston, Mass (T.T.P., A.O., Q.L., A.E.S.); Pfizer, Cambridge, Mass (S.P.S.); Department of Radiology, University of Washington, Seattle, Wash (G.M.C.); Department of Ultrasound, Shenzhen University General Hospital, Shenzhen, China (Q.L.); Department of Radiology, Liver Imaging Group, University of California San Diego, La Jolla, Calif (M.S.M., Y.C., C.B.S., K.J.F.); MGH Fatty Liver Program, Gastrointestinal Unit, Massachusetts General Hospital, Boston, Mass (K.E.C.); BioAge Labs, Richmond, Calif (S.S.S.); Foundation for the National Institutes of Health, North Bethesda, Md (H.H., T.N.K.); Regeneron Pharmaceuticals, Tarrytown, NY (R.A.C.); Department of Medicine, Division of Gastroenterology, NAFLD Research Center, University of California at San Diego, La Jolla, Calif (R.L.); Quantitative Health Sciences, Cleveland Clinic Foundation, Cleveland, Ohio (N.A.O.); and Department of Internal Medicine, Division of Internal Medicine, Division of Gastroenterology, Virginia Commonwealth University Medical Center, Richmond, Va (A.J.S.)
| | - Michael S Middleton
- From the Center for Ultrasound Research and Translation, Massachusetts General Hospital, 55 Fruit St, White Bldg, Rm 270, Boston, MA 02114 (T.T.P., A.O., X.W., Q.L., D.H., M.M., H.E., A.E.S.); Harvard Medical School, Boston, Mass (T.T.P., A.O., Q.L., A.E.S.); Pfizer, Cambridge, Mass (S.P.S.); Department of Radiology, University of Washington, Seattle, Wash (G.M.C.); Department of Ultrasound, Shenzhen University General Hospital, Shenzhen, China (Q.L.); Department of Radiology, Liver Imaging Group, University of California San Diego, La Jolla, Calif (M.S.M., Y.C., C.B.S., K.J.F.); MGH Fatty Liver Program, Gastrointestinal Unit, Massachusetts General Hospital, Boston, Mass (K.E.C.); BioAge Labs, Richmond, Calif (S.S.S.); Foundation for the National Institutes of Health, North Bethesda, Md (H.H., T.N.K.); Regeneron Pharmaceuticals, Tarrytown, NY (R.A.C.); Department of Medicine, Division of Gastroenterology, NAFLD Research Center, University of California at San Diego, La Jolla, Calif (R.L.); Quantitative Health Sciences, Cleveland Clinic Foundation, Cleveland, Ohio (N.A.O.); and Department of Internal Medicine, Division of Internal Medicine, Division of Gastroenterology, Virginia Commonwealth University Medical Center, Richmond, Va (A.J.S.)
| | - Marian Martin
- From the Center for Ultrasound Research and Translation, Massachusetts General Hospital, 55 Fruit St, White Bldg, Rm 270, Boston, MA 02114 (T.T.P., A.O., X.W., Q.L., D.H., M.M., H.E., A.E.S.); Harvard Medical School, Boston, Mass (T.T.P., A.O., Q.L., A.E.S.); Pfizer, Cambridge, Mass (S.P.S.); Department of Radiology, University of Washington, Seattle, Wash (G.M.C.); Department of Ultrasound, Shenzhen University General Hospital, Shenzhen, China (Q.L.); Department of Radiology, Liver Imaging Group, University of California San Diego, La Jolla, Calif (M.S.M., Y.C., C.B.S., K.J.F.); MGH Fatty Liver Program, Gastrointestinal Unit, Massachusetts General Hospital, Boston, Mass (K.E.C.); BioAge Labs, Richmond, Calif (S.S.S.); Foundation for the National Institutes of Health, North Bethesda, Md (H.H., T.N.K.); Regeneron Pharmaceuticals, Tarrytown, NY (R.A.C.); Department of Medicine, Division of Gastroenterology, NAFLD Research Center, University of California at San Diego, La Jolla, Calif (R.L.); Quantitative Health Sciences, Cleveland Clinic Foundation, Cleveland, Ohio (N.A.O.); and Department of Internal Medicine, Division of Internal Medicine, Division of Gastroenterology, Virginia Commonwealth University Medical Center, Richmond, Va (A.J.S.)
| | - Kathleen E Corey
- From the Center for Ultrasound Research and Translation, Massachusetts General Hospital, 55 Fruit St, White Bldg, Rm 270, Boston, MA 02114 (T.T.P., A.O., X.W., Q.L., D.H., M.M., H.E., A.E.S.); Harvard Medical School, Boston, Mass (T.T.P., A.O., Q.L., A.E.S.); Pfizer, Cambridge, Mass (S.P.S.); Department of Radiology, University of Washington, Seattle, Wash (G.M.C.); Department of Ultrasound, Shenzhen University General Hospital, Shenzhen, China (Q.L.); Department of Radiology, Liver Imaging Group, University of California San Diego, La Jolla, Calif (M.S.M., Y.C., C.B.S., K.J.F.); MGH Fatty Liver Program, Gastrointestinal Unit, Massachusetts General Hospital, Boston, Mass (K.E.C.); BioAge Labs, Richmond, Calif (S.S.S.); Foundation for the National Institutes of Health, North Bethesda, Md (H.H., T.N.K.); Regeneron Pharmaceuticals, Tarrytown, NY (R.A.C.); Department of Medicine, Division of Gastroenterology, NAFLD Research Center, University of California at San Diego, La Jolla, Calif (R.L.); Quantitative Health Sciences, Cleveland Clinic Foundation, Cleveland, Ohio (N.A.O.); and Department of Internal Medicine, Division of Internal Medicine, Division of Gastroenterology, Virginia Commonwealth University Medical Center, Richmond, Va (A.J.S.)
| | - Hannah Edenbaum
- From the Center for Ultrasound Research and Translation, Massachusetts General Hospital, 55 Fruit St, White Bldg, Rm 270, Boston, MA 02114 (T.T.P., A.O., X.W., Q.L., D.H., M.M., H.E., A.E.S.); Harvard Medical School, Boston, Mass (T.T.P., A.O., Q.L., A.E.S.); Pfizer, Cambridge, Mass (S.P.S.); Department of Radiology, University of Washington, Seattle, Wash (G.M.C.); Department of Ultrasound, Shenzhen University General Hospital, Shenzhen, China (Q.L.); Department of Radiology, Liver Imaging Group, University of California San Diego, La Jolla, Calif (M.S.M., Y.C., C.B.S., K.J.F.); MGH Fatty Liver Program, Gastrointestinal Unit, Massachusetts General Hospital, Boston, Mass (K.E.C.); BioAge Labs, Richmond, Calif (S.S.S.); Foundation for the National Institutes of Health, North Bethesda, Md (H.H., T.N.K.); Regeneron Pharmaceuticals, Tarrytown, NY (R.A.C.); Department of Medicine, Division of Gastroenterology, NAFLD Research Center, University of California at San Diego, La Jolla, Calif (R.L.); Quantitative Health Sciences, Cleveland Clinic Foundation, Cleveland, Ohio (N.A.O.); and Department of Internal Medicine, Division of Internal Medicine, Division of Gastroenterology, Virginia Commonwealth University Medical Center, Richmond, Va (A.J.S.)
| | - Sudha S Shankar
- From the Center for Ultrasound Research and Translation, Massachusetts General Hospital, 55 Fruit St, White Bldg, Rm 270, Boston, MA 02114 (T.T.P., A.O., X.W., Q.L., D.H., M.M., H.E., A.E.S.); Harvard Medical School, Boston, Mass (T.T.P., A.O., Q.L., A.E.S.); Pfizer, Cambridge, Mass (S.P.S.); Department of Radiology, University of Washington, Seattle, Wash (G.M.C.); Department of Ultrasound, Shenzhen University General Hospital, Shenzhen, China (Q.L.); Department of Radiology, Liver Imaging Group, University of California San Diego, La Jolla, Calif (M.S.M., Y.C., C.B.S., K.J.F.); MGH Fatty Liver Program, Gastrointestinal Unit, Massachusetts General Hospital, Boston, Mass (K.E.C.); BioAge Labs, Richmond, Calif (S.S.S.); Foundation for the National Institutes of Health, North Bethesda, Md (H.H., T.N.K.); Regeneron Pharmaceuticals, Tarrytown, NY (R.A.C.); Department of Medicine, Division of Gastroenterology, NAFLD Research Center, University of California at San Diego, La Jolla, Calif (R.L.); Quantitative Health Sciences, Cleveland Clinic Foundation, Cleveland, Ohio (N.A.O.); and Department of Internal Medicine, Division of Internal Medicine, Division of Gastroenterology, Virginia Commonwealth University Medical Center, Richmond, Va (A.J.S.)
| | - Helen Heymann
- From the Center for Ultrasound Research and Translation, Massachusetts General Hospital, 55 Fruit St, White Bldg, Rm 270, Boston, MA 02114 (T.T.P., A.O., X.W., Q.L., D.H., M.M., H.E., A.E.S.); Harvard Medical School, Boston, Mass (T.T.P., A.O., Q.L., A.E.S.); Pfizer, Cambridge, Mass (S.P.S.); Department of Radiology, University of Washington, Seattle, Wash (G.M.C.); Department of Ultrasound, Shenzhen University General Hospital, Shenzhen, China (Q.L.); Department of Radiology, Liver Imaging Group, University of California San Diego, La Jolla, Calif (M.S.M., Y.C., C.B.S., K.J.F.); MGH Fatty Liver Program, Gastrointestinal Unit, Massachusetts General Hospital, Boston, Mass (K.E.C.); BioAge Labs, Richmond, Calif (S.S.S.); Foundation for the National Institutes of Health, North Bethesda, Md (H.H., T.N.K.); Regeneron Pharmaceuticals, Tarrytown, NY (R.A.C.); Department of Medicine, Division of Gastroenterology, NAFLD Research Center, University of California at San Diego, La Jolla, Calif (R.L.); Quantitative Health Sciences, Cleveland Clinic Foundation, Cleveland, Ohio (N.A.O.); and Department of Internal Medicine, Division of Internal Medicine, Division of Gastroenterology, Virginia Commonwealth University Medical Center, Richmond, Va (A.J.S.)
| | - Tania N Kamphaus
- From the Center for Ultrasound Research and Translation, Massachusetts General Hospital, 55 Fruit St, White Bldg, Rm 270, Boston, MA 02114 (T.T.P., A.O., X.W., Q.L., D.H., M.M., H.E., A.E.S.); Harvard Medical School, Boston, Mass (T.T.P., A.O., Q.L., A.E.S.); Pfizer, Cambridge, Mass (S.P.S.); Department of Radiology, University of Washington, Seattle, Wash (G.M.C.); Department of Ultrasound, Shenzhen University General Hospital, Shenzhen, China (Q.L.); Department of Radiology, Liver Imaging Group, University of California San Diego, La Jolla, Calif (M.S.M., Y.C., C.B.S., K.J.F.); MGH Fatty Liver Program, Gastrointestinal Unit, Massachusetts General Hospital, Boston, Mass (K.E.C.); BioAge Labs, Richmond, Calif (S.S.S.); Foundation for the National Institutes of Health, North Bethesda, Md (H.H., T.N.K.); Regeneron Pharmaceuticals, Tarrytown, NY (R.A.C.); Department of Medicine, Division of Gastroenterology, NAFLD Research Center, University of California at San Diego, La Jolla, Calif (R.L.); Quantitative Health Sciences, Cleveland Clinic Foundation, Cleveland, Ohio (N.A.O.); and Department of Internal Medicine, Division of Internal Medicine, Division of Gastroenterology, Virginia Commonwealth University Medical Center, Richmond, Va (A.J.S.)
| | - Roberto A Calle
- From the Center for Ultrasound Research and Translation, Massachusetts General Hospital, 55 Fruit St, White Bldg, Rm 270, Boston, MA 02114 (T.T.P., A.O., X.W., Q.L., D.H., M.M., H.E., A.E.S.); Harvard Medical School, Boston, Mass (T.T.P., A.O., Q.L., A.E.S.); Pfizer, Cambridge, Mass (S.P.S.); Department of Radiology, University of Washington, Seattle, Wash (G.M.C.); Department of Ultrasound, Shenzhen University General Hospital, Shenzhen, China (Q.L.); Department of Radiology, Liver Imaging Group, University of California San Diego, La Jolla, Calif (M.S.M., Y.C., C.B.S., K.J.F.); MGH Fatty Liver Program, Gastrointestinal Unit, Massachusetts General Hospital, Boston, Mass (K.E.C.); BioAge Labs, Richmond, Calif (S.S.S.); Foundation for the National Institutes of Health, North Bethesda, Md (H.H., T.N.K.); Regeneron Pharmaceuticals, Tarrytown, NY (R.A.C.); Department of Medicine, Division of Gastroenterology, NAFLD Research Center, University of California at San Diego, La Jolla, Calif (R.L.); Quantitative Health Sciences, Cleveland Clinic Foundation, Cleveland, Ohio (N.A.O.); and Department of Internal Medicine, Division of Internal Medicine, Division of Gastroenterology, Virginia Commonwealth University Medical Center, Richmond, Va (A.J.S.)
| | - Yesenia Covarrubias
- From the Center for Ultrasound Research and Translation, Massachusetts General Hospital, 55 Fruit St, White Bldg, Rm 270, Boston, MA 02114 (T.T.P., A.O., X.W., Q.L., D.H., M.M., H.E., A.E.S.); Harvard Medical School, Boston, Mass (T.T.P., A.O., Q.L., A.E.S.); Pfizer, Cambridge, Mass (S.P.S.); Department of Radiology, University of Washington, Seattle, Wash (G.M.C.); Department of Ultrasound, Shenzhen University General Hospital, Shenzhen, China (Q.L.); Department of Radiology, Liver Imaging Group, University of California San Diego, La Jolla, Calif (M.S.M., Y.C., C.B.S., K.J.F.); MGH Fatty Liver Program, Gastrointestinal Unit, Massachusetts General Hospital, Boston, Mass (K.E.C.); BioAge Labs, Richmond, Calif (S.S.S.); Foundation for the National Institutes of Health, North Bethesda, Md (H.H., T.N.K.); Regeneron Pharmaceuticals, Tarrytown, NY (R.A.C.); Department of Medicine, Division of Gastroenterology, NAFLD Research Center, University of California at San Diego, La Jolla, Calif (R.L.); Quantitative Health Sciences, Cleveland Clinic Foundation, Cleveland, Ohio (N.A.O.); and Department of Internal Medicine, Division of Internal Medicine, Division of Gastroenterology, Virginia Commonwealth University Medical Center, Richmond, Va (A.J.S.)
| | - Rohit Loomba
- From the Center for Ultrasound Research and Translation, Massachusetts General Hospital, 55 Fruit St, White Bldg, Rm 270, Boston, MA 02114 (T.T.P., A.O., X.W., Q.L., D.H., M.M., H.E., A.E.S.); Harvard Medical School, Boston, Mass (T.T.P., A.O., Q.L., A.E.S.); Pfizer, Cambridge, Mass (S.P.S.); Department of Radiology, University of Washington, Seattle, Wash (G.M.C.); Department of Ultrasound, Shenzhen University General Hospital, Shenzhen, China (Q.L.); Department of Radiology, Liver Imaging Group, University of California San Diego, La Jolla, Calif (M.S.M., Y.C., C.B.S., K.J.F.); MGH Fatty Liver Program, Gastrointestinal Unit, Massachusetts General Hospital, Boston, Mass (K.E.C.); BioAge Labs, Richmond, Calif (S.S.S.); Foundation for the National Institutes of Health, North Bethesda, Md (H.H., T.N.K.); Regeneron Pharmaceuticals, Tarrytown, NY (R.A.C.); Department of Medicine, Division of Gastroenterology, NAFLD Research Center, University of California at San Diego, La Jolla, Calif (R.L.); Quantitative Health Sciences, Cleveland Clinic Foundation, Cleveland, Ohio (N.A.O.); and Department of Internal Medicine, Division of Internal Medicine, Division of Gastroenterology, Virginia Commonwealth University Medical Center, Richmond, Va (A.J.S.)
| | - Nancy A Obuchowski
- From the Center for Ultrasound Research and Translation, Massachusetts General Hospital, 55 Fruit St, White Bldg, Rm 270, Boston, MA 02114 (T.T.P., A.O., X.W., Q.L., D.H., M.M., H.E., A.E.S.); Harvard Medical School, Boston, Mass (T.T.P., A.O., Q.L., A.E.S.); Pfizer, Cambridge, Mass (S.P.S.); Department of Radiology, University of Washington, Seattle, Wash (G.M.C.); Department of Ultrasound, Shenzhen University General Hospital, Shenzhen, China (Q.L.); Department of Radiology, Liver Imaging Group, University of California San Diego, La Jolla, Calif (M.S.M., Y.C., C.B.S., K.J.F.); MGH Fatty Liver Program, Gastrointestinal Unit, Massachusetts General Hospital, Boston, Mass (K.E.C.); BioAge Labs, Richmond, Calif (S.S.S.); Foundation for the National Institutes of Health, North Bethesda, Md (H.H., T.N.K.); Regeneron Pharmaceuticals, Tarrytown, NY (R.A.C.); Department of Medicine, Division of Gastroenterology, NAFLD Research Center, University of California at San Diego, La Jolla, Calif (R.L.); Quantitative Health Sciences, Cleveland Clinic Foundation, Cleveland, Ohio (N.A.O.); and Department of Internal Medicine, Division of Internal Medicine, Division of Gastroenterology, Virginia Commonwealth University Medical Center, Richmond, Va (A.J.S.)
| | - Arun J Sanyal
- From the Center for Ultrasound Research and Translation, Massachusetts General Hospital, 55 Fruit St, White Bldg, Rm 270, Boston, MA 02114 (T.T.P., A.O., X.W., Q.L., D.H., M.M., H.E., A.E.S.); Harvard Medical School, Boston, Mass (T.T.P., A.O., Q.L., A.E.S.); Pfizer, Cambridge, Mass (S.P.S.); Department of Radiology, University of Washington, Seattle, Wash (G.M.C.); Department of Ultrasound, Shenzhen University General Hospital, Shenzhen, China (Q.L.); Department of Radiology, Liver Imaging Group, University of California San Diego, La Jolla, Calif (M.S.M., Y.C., C.B.S., K.J.F.); MGH Fatty Liver Program, Gastrointestinal Unit, Massachusetts General Hospital, Boston, Mass (K.E.C.); BioAge Labs, Richmond, Calif (S.S.S.); Foundation for the National Institutes of Health, North Bethesda, Md (H.H., T.N.K.); Regeneron Pharmaceuticals, Tarrytown, NY (R.A.C.); Department of Medicine, Division of Gastroenterology, NAFLD Research Center, University of California at San Diego, La Jolla, Calif (R.L.); Quantitative Health Sciences, Cleveland Clinic Foundation, Cleveland, Ohio (N.A.O.); and Department of Internal Medicine, Division of Internal Medicine, Division of Gastroenterology, Virginia Commonwealth University Medical Center, Richmond, Va (A.J.S.)
| | - Claude B Sirlin
- From the Center for Ultrasound Research and Translation, Massachusetts General Hospital, 55 Fruit St, White Bldg, Rm 270, Boston, MA 02114 (T.T.P., A.O., X.W., Q.L., D.H., M.M., H.E., A.E.S.); Harvard Medical School, Boston, Mass (T.T.P., A.O., Q.L., A.E.S.); Pfizer, Cambridge, Mass (S.P.S.); Department of Radiology, University of Washington, Seattle, Wash (G.M.C.); Department of Ultrasound, Shenzhen University General Hospital, Shenzhen, China (Q.L.); Department of Radiology, Liver Imaging Group, University of California San Diego, La Jolla, Calif (M.S.M., Y.C., C.B.S., K.J.F.); MGH Fatty Liver Program, Gastrointestinal Unit, Massachusetts General Hospital, Boston, Mass (K.E.C.); BioAge Labs, Richmond, Calif (S.S.S.); Foundation for the National Institutes of Health, North Bethesda, Md (H.H., T.N.K.); Regeneron Pharmaceuticals, Tarrytown, NY (R.A.C.); Department of Medicine, Division of Gastroenterology, NAFLD Research Center, University of California at San Diego, La Jolla, Calif (R.L.); Quantitative Health Sciences, Cleveland Clinic Foundation, Cleveland, Ohio (N.A.O.); and Department of Internal Medicine, Division of Internal Medicine, Division of Gastroenterology, Virginia Commonwealth University Medical Center, Richmond, Va (A.J.S.)
| | - Kathryn J Fowler
- From the Center for Ultrasound Research and Translation, Massachusetts General Hospital, 55 Fruit St, White Bldg, Rm 270, Boston, MA 02114 (T.T.P., A.O., X.W., Q.L., D.H., M.M., H.E., A.E.S.); Harvard Medical School, Boston, Mass (T.T.P., A.O., Q.L., A.E.S.); Pfizer, Cambridge, Mass (S.P.S.); Department of Radiology, University of Washington, Seattle, Wash (G.M.C.); Department of Ultrasound, Shenzhen University General Hospital, Shenzhen, China (Q.L.); Department of Radiology, Liver Imaging Group, University of California San Diego, La Jolla, Calif (M.S.M., Y.C., C.B.S., K.J.F.); MGH Fatty Liver Program, Gastrointestinal Unit, Massachusetts General Hospital, Boston, Mass (K.E.C.); BioAge Labs, Richmond, Calif (S.S.S.); Foundation for the National Institutes of Health, North Bethesda, Md (H.H., T.N.K.); Regeneron Pharmaceuticals, Tarrytown, NY (R.A.C.); Department of Medicine, Division of Gastroenterology, NAFLD Research Center, University of California at San Diego, La Jolla, Calif (R.L.); Quantitative Health Sciences, Cleveland Clinic Foundation, Cleveland, Ohio (N.A.O.); and Department of Internal Medicine, Division of Internal Medicine, Division of Gastroenterology, Virginia Commonwealth University Medical Center, Richmond, Va (A.J.S.)
| | - Anthony E Samir
- From the Center for Ultrasound Research and Translation, Massachusetts General Hospital, 55 Fruit St, White Bldg, Rm 270, Boston, MA 02114 (T.T.P., A.O., X.W., Q.L., D.H., M.M., H.E., A.E.S.); Harvard Medical School, Boston, Mass (T.T.P., A.O., Q.L., A.E.S.); Pfizer, Cambridge, Mass (S.P.S.); Department of Radiology, University of Washington, Seattle, Wash (G.M.C.); Department of Ultrasound, Shenzhen University General Hospital, Shenzhen, China (Q.L.); Department of Radiology, Liver Imaging Group, University of California San Diego, La Jolla, Calif (M.S.M., Y.C., C.B.S., K.J.F.); MGH Fatty Liver Program, Gastrointestinal Unit, Massachusetts General Hospital, Boston, Mass (K.E.C.); BioAge Labs, Richmond, Calif (S.S.S.); Foundation for the National Institutes of Health, North Bethesda, Md (H.H., T.N.K.); Regeneron Pharmaceuticals, Tarrytown, NY (R.A.C.); Department of Medicine, Division of Gastroenterology, NAFLD Research Center, University of California at San Diego, La Jolla, Calif (R.L.); Quantitative Health Sciences, Cleveland Clinic Foundation, Cleveland, Ohio (N.A.O.); and Department of Internal Medicine, Division of Internal Medicine, Division of Gastroenterology, Virginia Commonwealth University Medical Center, Richmond, Va (A.J.S.)
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Lu XZ, Hu HT, Li W, Deng JF, Chen LD, Cheng MQ, Huang H, Ke WP, Wang W, Sun BG. Exploring hepatic fibrosis screening via deep learning analysis of tongue images. J Tradit Complement Med 2024; 14:544-549. [PMID: 39262664 PMCID: PMC11384071 DOI: 10.1016/j.jtcme.2024.03.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2023] [Revised: 02/01/2024] [Accepted: 03/05/2024] [Indexed: 09/13/2024] Open
Abstract
Background Tongue inspection, an essential diagnostic method in Traditional Chinese Medicine (TCM), has the potential for early-stage disease screening. This study aimed to evaluate the effectiveness of deep learning-based analysis of tongue images for hepatic fibrosis screening. Methods A total of 1083 tongue images were collected from 741 patients and divided into training, validation, and test sets. DenseNet-201, a convolutional neural network, was employed to train the AI model using these tongue images. The predictive performance of AI was assessed and compared with that of FIB-4, using real-time two-dimensional shear wave elastography as the reference standard. Results The proposed AI model achieved an accuracy of 0.845 (95% CI: 0.79-0.90) and 0.814 (95% CI: 0.76-0.87) in the validation and test sets, respectively, with negative predictive values (NPVs) exceeding 90% in both sets. The AI model outperformed FIB-4 in all aspects, and when combined with FIB-4, the NPV reached 94.4%. Conclusion Tongue inspection, with the assistance of AI, could serve as a first-line screening method for hepatic fibrosis.
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Affiliation(s)
- Xiao-Zhou Lu
- Department of Traditional Chinese Medicine, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Hang-Tong Hu
- Department of Medical Ultrasonics, Institute of Diagnostic and Interventional Ultrasound, MedAI Collaborative Lab, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
| | - Wei Li
- Department of Medical Ultrasonics, Institute of Diagnostic and Interventional Ultrasound, MedAI Collaborative Lab, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
| | - Jin-Feng Deng
- Department of Traditional Chinese Medicine, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Li-da Chen
- Department of Medical Ultrasonics, Institute of Diagnostic and Interventional Ultrasound, MedAI Collaborative Lab, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
| | - Mei-Qing Cheng
- Department of Medical Ultrasonics, Institute of Diagnostic and Interventional Ultrasound, MedAI Collaborative Lab, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
| | - Hui Huang
- Department of Medical Ultrasonics, Institute of Diagnostic and Interventional Ultrasound, MedAI Collaborative Lab, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
| | - Wei-Ping Ke
- Department of Medical Ultrasonics, Institute of Diagnostic and Interventional Ultrasound, MedAI Collaborative Lab, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
| | - Wei Wang
- Department of Medical Ultrasonics, Institute of Diagnostic and Interventional Ultrasound, MedAI Collaborative Lab, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
| | - Bao-Guo Sun
- Department of Traditional Chinese Medicine, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
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100
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Peng G, Yu B, Luo T, Tao L, Zhang Z. Multi-echo three-dimensional (3D) Dixon sequence combined with disodium gadolinium for risk stratification of advanced fibrosis in metabolic dysfunction-associated steatotic liver disease. Quant Imaging Med Surg 2024; 14:6660-6668. [PMID: 39281147 PMCID: PMC11400654 DOI: 10.21037/qims-24-555] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2024] [Accepted: 07/19/2024] [Indexed: 09/18/2024]
Abstract
Background The hepatic steatosis and fibrosis related to metabolic dysfunction-associated steatotic liver disease (MASLD) are important factors in the progression. The Multi echo three-dimensional (3D) Dixon sequence can obtain a single breath hold scan for a fat fraction map and an R2* map. The R2* value is usually used to evaluate iron deposition. Whether the change in R2* value is related to liver fibrosis after injection of gadolinium disulfide (Gd) should be noted. This study evaluates the value of enhanced magnetic relaxation time in the risk stratification of liver fibrosis by analyzing the changes in R2* before and after Gd enhancement, and explores the potential application of Multi echo 3D Dixon sequence in one-stop evaluation of MASLD. Methods This retrospective study included 138 MASLD patients who underwent Gadolinum ethoxybenzyl diethylenetriaminepentaacetic acid (Gd-EOB-DTPA) magnetic resonance imaging (MRI) examination in The First Affiliated Hospital of Chongqing Medical University from June 2020 to December 2021. Finally, 90 subjects were divided into moderate and high-risk fibrosis group and low-risk fibrosis group by two-step assessment of liver fibrosis. Multi-echo 3D chemical shift imaging sequence (Q-Dixon) sequences and gradient-echo T1WI (Vibe-Dixon) sequence were performed during the non-enhanced phase and hepatobiliary phase, respectively, and then the signal-intensity enhancement (SE) and magnetic relaxation-time enhancement (RE) values were calculated. The interobserver correlation coefficient was used to evaluate the consistency between observers. Univariate t-test was used to analyze the differences in RE and SE of liver fibrosis among different risk levels. Delong analysis was performed on receiver operating characteristic (ROC) curve to evaluate the difference in diagnostic efficacy between RE and SE in differentiating the risk level of liver fibrosis. Results Among the 90 patients, 55 (61.1%) belonged to the low-risk group and 35 (38.9%) belonged to the medium-to-high-risk group. The average RE and SE values were 1.23±0.15 and 1.57±0.23 in the low-risk group and 0.99±0.09 and 1.38±0.21 in both the medium-to-high-risk group (P<0.01). The ROC curve showed that the area under the curve (AUC) value of RE was 0.922, with a corresponding optimal threshold of 0.713, sensitivity of 0.852, and specificity of 0.861. The AUC value of SE was 0.724, with a corresponding optimal threshold of 0.352, sensitivity of 0.519, and specificity of 0.833. The AUC difference between RE and SE for the predictive value of different risk assessments was 0.198, and the 95% confidence interval of the difference was 0.084-0.312. The Delong test showed that the difference was significant (P<0.01). Conclusions Magnetic RE had high effectiveness for distinguishing between liver-fibrosis risk levels. The combination of the Q-Dixon sequence and Gd-EOB-DTPA has the potential of one-stop evaluation of MASLD.
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Affiliation(s)
- Gang Peng
- Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Bin Yu
- Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Tianyou Luo
- Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Li Tao
- Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Zhiwei Zhang
- Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
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