815 results on '"Neuschwander-Tetri, Brent A"'
Search Results
2. Abstract 13902: Using a Proteomics-Based Cardiovascular Risk Test to Identify Systemic Changes in a Clinical Trial of Nonalcoholic Fatty Liver Disease
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Sanyal, Arun, Simpson, Missy, Hinterberg, Michael, Hales, Erin, Paterson, Clare, Neuschwander-Tetri, Brent, Diehl, Anna Mae, Dasarathy, Srinivasan, Loomba, Rohit, Chalasani, Naga, Kowdley, Kris, Hameed, Bilal, Kleiner, David, Behling, Cynthia, Tonascia, James, Yates, Katherine, and Williams, Stephen A
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Biomedical and Clinical Sciences ,Clinical Sciences ,Chronic Liver Disease and Cirrhosis ,Clinical Trials and Supportive Activities ,Digestive Diseases ,Cardiovascular ,Clinical Research ,Prevention ,Hepatitis ,Liver Disease ,Evaluation of treatments and therapeutic interventions ,6.1 Pharmaceuticals ,Oral and gastrointestinal ,Good Health and Well Being ,Cardiorespiratory Medicine and Haematology ,Public Health and Health Services ,Cardiovascular System & Hematology ,Cardiovascular medicine and haematology ,Clinical sciences ,Sports science and exercise - Abstract
Background: Nonalcoholic steatohepatitis (NASH) is associated with increased cardiovascular outcomes. Assessment of the impact of NASH therapy on cardiovascular risk is an important element of NASH drug development but is challenging particularly in early phase trials. Aptamer-based proteomic profiles (Somalogic®) in serum have been used to develop and validate a risk score as a surrogate for cardiovascular (CV) risk. Hypothesis: Improvement in NASH histology will result in improved proteomic cardiovascular risk scores. Methods: A post-hoc analysis of proteomic profiles of serum samples, using the Somalogic® platform, from the Pioglitazone vs. Vitamin E vs. Placebo for Treatment of Nonalcoholic Fatty Liver Disease (PIVENS) trial was conducted. PIVENS was a 96-week trial of nondiabetic participants with (NASH). We applied the proteomic CV risk scores to samples from baseline, on therapy and end of treatment visits (n=7) visits and received liver histology results at baseline and 96 weeks on N = 209 (84.6%) study participants. Generalized linear and mixed models were used to assess the association between CV risk score, treatment arm and change in liver biopsy results. Results: Baseline scores were similar across groups (mean 0.19, SD 0.14). There was no association between treatment arms and changes in scores during therapy and end of treatment. However, improvement in histological markers of activity (lobular inflammation and NAFLD activity score) and fibrosis were associated with improved cv risk scores (Figure) (p< 0.05 for all). Conclusions: Improvement in hepatic inflammation, NAFLD activity score and fibrosis were associated with improved proteomic CV risk scores regardless of treatment provided. Additional prospective validation of these findings is warranted. Proteomic profiling can potentially be used to track changes in cardiovascular risk profile changes in response to therapy in the short term NASH treatment trials.
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- 2023
3. Diagnostic performance of circulating biomarkers for non-alcoholic steatohepatitis.
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Sanyal, Arun, Shankar, Sudha, Yates, Katherine, Bolognese, James, Daly, Erika, Dehn, Clayton, Neuschwander-Tetri, Brent, Kowdley, Kris, Vuppalanchi, Raj, Behling, Cynthia, Tonascia, James, Samir, Anthony, Sherlock, Sarah, Heymann, Helen, Kamphaus, Tania, Calle, Roberto, Loomba, Rohit, Sirlin, Claude, and Fowler, Kathryn
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There are no approved diagnostic biomarkers for at-risk non-alcoholic steatohepatitis (NASH), defined by the presence of NASH, high histological activity and fibrosis stage ≥2, which is associated with higher incidence of liver-related events and mortality. FNIH-NIMBLE is a multi-stakeholder project to support regulatory approval of NASH-related biomarkers. The diagnostic performance of five blood-based panels was evaluated in an observational (NASH CRN DB2) cohort (n = 1,073) with full spectrum of non-alcoholic fatty liver disease (NAFLD). The panels were intended to diagnose at-risk NASH (NIS4), presence of NASH (OWLiver) or fibrosis stages >2, >3 or 4 (enhanced liver fibrosis (ELF) test, PROC3 and FibroMeter VCTE). The prespecified performance metric was an area under the receiver operating characteristic curve (AUROC) ≥0.7 and superiority over alanine aminotransferase for disease activity and the FIB-4 test for fibrosis severity. Multiple biomarkers met these metrics. NIS4 had an AUROC of 0.81 (95% confidence interval: 0.78-0.84) for at-risk NASH. The AUROCs of the ELF test, PROC3 and FibroMeterVCTE for clinically significant fibrosis (≥stage 2), advanced fibrosis (≥stage 3) or cirrhosis (stage 4), respectively, were all ≥0.8. ELF and FibroMeter VCTE outperformed FIB-4 for all fibrosis endpoints. These data represent a milestone toward qualification of several biomarker panels for at-risk NASH and also fibrosis severity in individuals with NAFLD.
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- 2023
4. Fibrosis Progression Rate in Biopsy-Proven Nonalcoholic Fatty Liver Disease Among People With Diabetes Versus People Without Diabetes: A Multicenter Study
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Huang, Daniel Q, Wilson, Laura A, Behling, Cynthia, Kleiner, David E, Kowdley, Kris V, Dasarathy, Srinivasan, Amangurbanova, Maral, Terrault, Norah A, Diehl, Anna Mae, Chalasani, Naga, Neuschwander-Tetri, Brent A, Sanyal, Arun J, Tonascia, James, Loomba, Rohit, Allende, Daniela, Bellar, Annette, Dasarathy, Jaividhya, Welch, Nicole, Yerrapothu, Rahul, Bashir, Mustafa, Guy, Cynthia, Kopping, Mariko, Piercy, Dawn, Suzuki, Ayako, Tawadrou, Naglaa, Cruz, Mandy, Cummings, Oscar W, Garrison, Lisa, Gawrieh, Samer, Samala, Niharika, Vuppalanchi, Raj, Carpenter, Danielle, Cattoor, Theresa, Freebersyser, Janet, Angkanaworakul, Pannapat, Berihun, Achashman, Buysse, Andrew, Dorrian, Theresa, Gulati, Breanna, Liu, Kevin, Misic, Sandra, Sohal, Adam, Vuong, Joseph, Ajmera, Veeral, Madamba, Egbert, Middleton, Michael S, Richards, Lisa, Singh, Seema, Sirlin, Claude, Gill, Ryan, Hameed, Bilal, Awe, Remilekun, Olvera, Daisy, Terrault, Norah, Yuan, Liyun, Yeh, Matthew, Albhaisi, Somaya, Asgharpour, Amon, Boyett, Sherry, Contos, Melissa J, Luketic, Velimir AC, Schlosser, Jolene, Siddiqui, Mohammad S, Adamo, Peggy, Belt, Patricia, Clark, Jeanne M, DeSanto, Jennifer M, Meinert, Jill, Miriel, Laura, Mitchell, Emily P, Shade, Carrie, Smith, Jacqueline, Smith, Michael, Sternberg, Alice, Van Natta, Mark L, Wagoner, Annette, Woreta, Tinsay, and Yates, Katherine P
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Biomedical and Clinical Sciences ,Clinical Sciences ,Hepatitis ,Liver Disease ,Digestive Diseases ,Chronic Liver Disease and Cirrhosis ,Clinical Research ,Diabetes ,Obesity ,Metabolic and endocrine ,Good Health and Well Being ,Adult ,Humans ,Female ,Male ,Non-alcoholic Fatty Liver Disease ,Diabetes Mellitus ,Type 2 ,Cohort Studies ,Liver Cirrhosis ,Biopsy ,Nonalcoholic Steatohepatitis ,NAFLD ,Cirrhosis ,Type 2 Diabetes Mellitus ,NASH Clinical Research Network ,Neurosciences ,Paediatrics and Reproductive Medicine ,Gastroenterology & Hepatology ,Clinical sciences ,Nutrition and dietetics - Abstract
Background & aimsThere are limited data regarding fibrosis progression in biopsy-proven nonalcoholic fatty liver disease (NAFLD) in people with type 2 diabetes mellitus (T2DM) compared with people without T2DM. We assessed the time to fibrosis progression in people with T2DM compared with people without T2DM in a large, multicenter, study of people with NAFLD who had paired liver biopsies.MethodsThis study included 447 adult participants (64% were female) with NAFLD who had paired liver biopsies more than 1 year apart. Liver histology was systematically assessed by a central pathology committee blinded to clinical data. The primary outcome was the cumulative incidence of a ≥1-stage increase in fibrosis in participants with T2DM compared with participants without T2DM.ResultsThe mean (SD) age and body mass index (calculated as weight in kilograms divided by the square of the height in meters) were 50.9 (11.5) years and 34.7 (6.3), respectively. The median time between biopsies was 3.3 years (interquartile range, 1.8-6.1 years). Participants with T2DM had a significantly higher cumulative incidence of fibrosis progression at 4 years (24% vs 20%), 8 years (60% vs 50%), and 12 years (93% vs 76%) (P = .005). Using a multivariable Cox proportional hazards model adjusted for multiple confounders, T2DM remained an independent predictor of fibrosis progression (adjusted hazard ratio, 1.69; 95% CI, 1.17-2.43; P = .005). The cumulative incidence of fibrosis regression by ≥1 stage was similar in participants with T2DM compared with participants without T2DM (P = .24).ConclusionsIn this large, multicenter cohort study of well-characterized participants with NAFLD and paired liver biopsies, we found that fibrosis progressed faster in participants with T2DM compared with participants without T2DM. These data have important implications for clinical practice and trial design.
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- 2023
5. Sa1546 INCREASED LIVER FIBROSIS IS THE KEY CLINICAL FACTOR ASSOCIATED WITH INCREASED FUTURE SEVERE LIVER DISEASE OUTCOMES IN A PROSPECTIVE COHORT OF ADULTS WITH ALPHA-1-ANTITRYPSIN DEFICIENCY
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Suri, Anandini, Zhang, Zidong, Neuschwander-Tetri, Brent A, Loomba, Rohit, Brenner, David A, Wilson, Andrew, Carpenter, Danielle, and Teckman, Jeffrey
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Biomedical and Clinical Sciences ,Clinical Sciences ,Good Health and Well Being ,Neurosciences ,Paediatrics and Reproductive Medicine ,Gastroenterology & Hepatology ,Clinical sciences ,Nutrition and dietetics - Published
- 2023
6. AASLD Practice Guidance on the clinical assessment and management of nonalcoholic fatty liver disease
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Rinella, Mary E, Neuschwander-Tetri, Brent A, Siddiqui, Mohammad Shadab, Abdelmalek, Manal F, Caldwell, Stephen, Barb, Diana, Kleiner, David E, and Loomba, Rohit
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Biomedical and Clinical Sciences ,Clinical Sciences ,Immunology ,Good Health and Well Being ,Humans ,Non-alcoholic Fatty Liver Disease ,Liver Cirrhosis ,Disease Progression ,Liver ,Medical Biochemistry and Metabolomics ,Gastroenterology & Hepatology ,Clinical sciences - Published
- 2023
7. Defining the serum proteomic signature of hepatic steatosis, inflammation, ballooning and fibrosis in non-alcoholic fatty liver disease
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Sanyal, Arun J, Williams, Stephen A, Lavine, Joel E, Neuschwander-Tetri, Brent A, Alexander, Leigh, Ostroff, Rachel, Biegel, Hannah, Kowdley, Kris V, Chalasani, Naga, Dasarathy, Srinivasan, Diehl, Anna Mae, Loomba, Rohit, Hameed, Bilal, Behling, Cynthia, Kleiner, David E, Karpen, Saul J, Williams, Jessica, Jia, Yi, Yates, Katherine P, and Tonascia, James
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Biomedical and Clinical Sciences ,Clinical Sciences ,Prevention ,Hepatitis ,Nutrition ,Chronic Liver Disease and Cirrhosis ,Liver Disease ,Digestive Diseases ,Clinical Research ,4.1 Discovery and preclinical testing of markers and technologies ,Detection ,screening and diagnosis ,Good Health and Well Being ,Humans ,Biopsy ,Fibrosis ,Inflammation ,Liver ,Liver Cirrhosis ,Non-alcoholic Fatty Liver Disease ,Pioglitazone ,Proteomics ,Vitamin E ,Nonalcoholic fatty liver disease ,Nonalcoholic steatohepatitis ,NAFLD activity score ,fibrosis stage ,cirrhosis ,stea-tohepatitis ,steatosis ,hepatocellular ballooning ,lobular inflammation ,fibrosis ,proteomics ,aptamers ,steatohepatitis ,Public Health and Health Services ,Gastroenterology & Hepatology ,Clinical sciences - Abstract
Background & aimsDespite recent progress, non-invasive tests for the diagnostic assessment and monitoring of non-alcoholic fatty liver disease (NAFLD) remain an unmet need. Herein, we aimed to identify diagnostic signatures of the key histological features of NAFLD.MethodsUsing modified-aptamer proteomics, we assayed 5,220 proteins in each of 2,852 single serum samples from 636 individuals with histologically confirmed NAFLD. We developed and validated dichotomized protein-phenotype models to identify clinically relevant severities of steatosis (grade 0 vs. 1-3), hepatocellular ballooning (0 vs. 1 or 2), lobular inflammation (0-1 vs. 2-3) and fibrosis (stages 0-1 vs. 2-4).ResultsThe AUCs of the four protein models, based on 37 analytes (18 not previously linked to NAFLD), for the diagnosis of their respective components (at a clinically relevant severity) in training/paired validation sets were: fibrosis (AUC 0.92/0.85); steatosis (AUC 0.95/0.79), inflammation (AUC 0.83/0.72), and ballooning (AUC 0.87/0.83). An additional outcome, at-risk NASH, defined as steatohepatitis with NAFLD activity score ≥4 (with a score of at least 1 for each of its components) and fibrosis stage ≥2, was predicted by multiplying the outputs of each individual component model (AUC 0.93/0.85). We further evaluated their ability to detect change in histology following treatment with placebo, pioglitazone, vitamin E or obeticholic acid. Component model scores significantly improved in the active therapies vs. placebo, and differential effects of vitamin E, pioglitazone, and obeticholic acid were identified.ConclusionsSerum protein scanning identified signatures corresponding to the key components of liver biopsy in NAFLD. The models developed were sufficiently sensitive to characterize the longitudinal change for three different drug interventions. These data support continued validation of these proteomic models to enable a "liquid biopsy"-based assessment of NAFLD.Clinical trial numberNot applicable.Impact and implicationsAn aptamer-based protein scan of serum proteins was performed to identify diagnostic signatures of the key histological features of non-alcoholic fatty liver disease (NAFLD), for which no approved non-invasive diagnostic tools are currently available. We also identified specific protein signatures related to the presence and severity of NAFLD and its histological components that were also sensitive to change over time. These are fundamental initial steps in establishing a serum proteome-based diagnostic signature of NASH and provide the rationale for using these signatures to test treatment response and to identify several novel targets for evaluation in the pathogenesis of NAFLD.
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- 2023
8. Changes in abdominal adipose tissue depots assessed by MRI correlate with hepatic histologic improvement in non-alcoholic steatohepatitis
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Shen, Wei, Middleton, Michael S, Cunha, Guilherme M, Delgado, Timoteo I, Wolfson, Tanya, Gamst, Anthony, Fowler, Kathryn J, Alazraki, Adina, Trout, Andrew T, Ohliger, Michael A, Shah, Shetal N, Bashir, Mustafa R, Kleiner, David E, Loomba, Rohit, Neuschwander-Tetri, Brent A, Sanyal, Arun J, Zhou, Jane, Sirlin, Claude B, and Lavine, Joel E
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Biomedical and Clinical Sciences ,Clinical Sciences ,Prevention ,Chronic Liver Disease and Cirrhosis ,Clinical Research ,Nutrition ,Liver Disease ,Clinical Trials and Supportive Activities ,Obesity ,Hepatitis ,Digestive Diseases ,6.1 Pharmaceuticals ,Evaluation of treatments and therapeutic interventions ,Cardiovascular ,Cancer ,Oral and gastrointestinal ,Adult ,Humans ,Non-alcoholic Fatty Liver Disease ,Obesity ,Abdominal ,Liver ,Fibrosis ,Abdominal Fat ,Magnetic Resonance Imaging ,Adipose Tissue ,central obesity ,deep subcutaneous adipose tissue ,visceral adipose tissue ,liver histology ,Public Health and Health Services ,Gastroenterology & Hepatology ,Clinical sciences - Abstract
Background & aimsNon-alcoholic steatohepatitis (NASH) is prevalent in adults with obesity and can progress to cirrhosis. In a secondary analysis of prospectively acquired data from the multicenter, randomized, placebo-controlled FLINT trial, we investigated the relationship between reduction in adipose tissue compartment volumes and hepatic histologic improvement.MethodsAdult participants in the FLINT trial with paired liver biopsies and abdominal MRI exams at baseline and end-of-treatment (72 weeks) were included (n = 76). Adipose tissue compartment volumes were obtained using MRI.ResultsTreatment and placebo groups did not differ in baseline adipose tissue volumes, or in change in adipose tissue volumes longitudinally (p = 0.107 to 0.745). Deep subcutaneous adipose tissue (dSAT) and visceral adipose tissue volume reductions were associated with histologic improvement in NASH (i.e., NAS [non-alcoholic fatty liver disease activity score] reductions of ≥2 points, at least 1 point from lobular inflammation and hepatocellular ballooning, and no worsening of fibrosis) (p = 0.031, and 0.030, respectively). In a stepwise logistic regression procedure, which included demographics, treatment group, baseline histology, baseline and changes in adipose tissue volumes, MRI hepatic proton density fat fraction (PDFF), and serum aminotransferases as potential predictors, reductions in dSAT and PDFF were associated with histologic improvement in NASH (regression coefficient = -2.001 and -0.083, p = 0.044 and 0.033, respectively).ConclusionsIn adults with NASH in the FLINT trial, those with greater longitudinal reductions in dSAT and potentially visceral adipose tissue volumes showed greater hepatic histologic improvements, independent of reductions in hepatic PDFF.Clinical trial numberNCT01265498.Impact and implicationsAlthough central obesity has been identified as a risk factor for obesity-related disorders including insulin resistance and cardiovascular disease, the role of central obesity in non-alcoholic steatohepatitis (NASH) warrants further clarification. Our results highlight that a reduction in central obesity, specifically deep subcutaneous adipose tissue and visceral adipose tissue, may be related to histologic improvement in NASH. The findings from this analysis should increase awareness of the importance of lifestyle intervention in NASH for clinical researchers and clinicians. Future studies and clinical practice may design interventions that assess the reduction of deep subcutaneous adipose tissue and visceral adipose tissue as outcome measures, rather than simply weight reduction.
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- 2023
9. Nutrition assessment and MASH severity in children using the Healthy Eating Index
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Jain, Ajay Kumar, Buchannan, Paula, Yates, Katherine P, Belt, Patricia, Schwimmer, Jeffrey B, Rosenthal, Philip, Murray, Karen F, Molleston, Jean P, Scheimann, Ann, Xanthakos, Stavra A, Behling, Cynthia A, Hertel, Paula, Nilson, Jamie, Neuschwander-Tetri, Brent A, Tonascia, James, Vos, Miriam B, Cavallo, Laurel, Garner, Donna, Hertel, Paula M, Mysore, Krupa R, Ortega, Taira Illescas, Tessier, Mary Elizabeth, Triggs, Nicole, Tsai, Cynthia, Arce-Clachar, Ana Catalina, Bramlage, Kristin, Cecil, Kim, Mouzaki, Marialena, Popelar, Ann, Trout, Andrew, Xanthakos, Stavra, Allende, Daniela, Bellar, Annette, Dasarathy, Jaividhya, Dasarathy, Srinivasan, Welch, Nicole, Yerrapothu, Rahul, Bashir, Mustafa, Diehl, Anna Mae, Guy, Cynthia, Kopping, Mariko, Piercy, Dawn, Suzuki, Ayako, Alazraki, Adina, Garcia, Carmen, Jara-Garra, Jorge, Karpen, Saul, Vos, Miriam, Chalasani, Naga, Cruz, Mandy, Cummings, Oscar W, Garrison, Lisa, Gawrieh, Samer, Adams, Kathryn Harlow, Jarasvaraparn, Chaowapong, Klipsch, Ann, Morlan, Wendy, Ragozzino, Emily, Samala, Niharika, Vuppalanchi, Raj, Angkanaworakul, Pannapat, Berihun, Achashman, Buysse, Andrew, Dorrian, Theresa, Gulati, Breanna, Kowdley, Kris V, Liu, Kevin, Misic, Sandra, Sohal, Adam, Anthony, Angela, Chapin, Catherine, Fishbein, Mark H, Carpenter, Danielle, Cattoor, Theresa, Freebersyser, Janet, Jain, Ajay K, Ajmera, Veeral, Alba, Amy, Behling, Cynthia, Goyal, Nidhi, Keyvan, Leila, Loomba, Rohit, Madamba, Egbert, Middleton, Michael S, Morfin, Rebecca, Newton, Kimberly, Richards, Lisa, Singh, Seema, Sirlin, Claude, Skonieczny, Jaret, Ugalde-Nicalo, Patricia, Wang, Andrew, Awe, Remilekun, Gill, Ryan, Hameed, Bilal, Olvera, Daisy, and Terrault, Norah
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Biomedical and Clinical Sciences ,Nutrition and Dietetics ,Obesity ,Digestive Diseases ,Nutrition ,Prevention ,Clinical Research ,Clinical Trials and Supportive Activities ,Pediatric ,Oral and gastrointestinal ,Metabolic and endocrine ,Good Health and Well Being ,Humans ,Male ,Child ,Female ,Diet ,Healthy ,Nutrition Assessment ,Lipids ,Sugars ,Body Weight ,Nonalcoholic Steatohepatitis Clinical Research Network ,Clinical sciences - Abstract
BackgroundPediatric metabolic-associated fatty liver disease (MAFLD) is a global health problem, with lifestyle modification as its major therapeutic strategy. Rigorous characterization of dietary content on MAFLD in children is lacking. We hypothesized an objectively measured healthier diet would positively modulate MAFLD.MethodsDiet was assessed using the Nutrition Data System for Research in children enrolled from 10 tertiary clinical centers to determine the Healthy Eating Index (HEI, 0-100) and individual food components.ResultsIn all, 119 children were included (13.3 ± 2.7 y), 80 (67%) male, 67 (18%) White, and 90 (76%) Hispanic, with an average body mass index Z-score of 2.2 ± 0.5. Diet was classified as low HEI < 47.94 (n = 39), mid HEI ≥ 47.94 and < 58.89 (n = 41), or high HEI ≥ 58.89 (n=39). Children with high HEI (healthier diet) had lower body weight (p = 0.005) and more favorable lipids. Mean serum triglycerides for low, mid, and high HEI were 163, 148, and 120 mg/dL, respectively; p = 0.04 mid versus high, p = 0.01 low versus high. Mean HDL was 38, 41 and 43 mg/dL; p = 0.02 low vs high. Less severe steatosis was noted with added sugar ≤ 10% of calories (p = 0.03). Higher lobular inflammation is associated with a higher percentage of calories from fat (OR (95% CI) = 0.95 (0.91-1.00), p = 0.04).ConclusionsIn children with MAFLD, high HEI is associated with lower body weight and more favorable lipids, while added sugar and fat intake has individual histologic features. Differential consumption of major dietary components may modify both metabolic risk factors and histologic liver injury, highlighting the importance of objective diet assessments in children with MAFLD.
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- 2023
10. Increases and decreases in liver stiffness measurement are independently associated with the risk of liver-related events in NAFLD
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Gawrieh, Samer, Vilar-Gomez, Eduardo, Wilson, Laura A., Pike, Francis, Kleiner, David E., Neuschwander-Tetri, Brent A., Diehl, Anna Mae, Dasarathy, Srinivasan, Kowdley, Kris V., Hameed, Bilal, Tonascia, James, Loomba, Rohit, Sanyal, Arun J., and Chalasani, Naga
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- 2024
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11. A multiancestry genome-wide association study of unexplained chronic ALT elevation as a proxy for nonalcoholic fatty liver disease with histological and radiological validation
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Vujkovic, Marijana, Ramdas, Shweta, Lorenz, Kim M, Guo, Xiuqing, Darlay, Rebecca, Cordell, Heather J, He, Jing, Gindin, Yevgeniy, Chung, Chuhan, Myers, Robert P, Schneider, Carolin V, Park, Joseph, Lee, Kyung Min, Serper, Marina, Carr, Rotonya M, Kaplan, David E, Haas, Mary E, MacLean, Matthew T, Witschey, Walter R, Zhu, Xiang, Tcheandjieu, Catherine, Kember, Rachel L, Kranzler, Henry R, Verma, Anurag, Giri, Ayush, Klarin, Derek M, Sun, Yan V, Huang, Jie, Huffman, Jennifer E, Creasy, Kate Townsend, Hand, Nicholas J, Liu, Ching-Ti, Long, Michelle T, Yao, Jie, Budoff, Matthew, Tan, Jingyi, Li, Xiaohui, Lin, Henry J, Chen, Yii-Der Ida, Taylor, Kent D, Chang, Ruey-Kang, Krauss, Ronald M, Vilarinho, Silvia, Brancale, Joseph, Nielsen, Jonas B, Locke, Adam E, Jones, Marcus B, Verweij, Niek, Baras, Aris, Reddy, K Rajender, Neuschwander-Tetri, Brent A, Schwimmer, Jeffrey B, Sanyal, Arun J, Chalasani, Naga, Ryan, Kathleen A, Mitchell, Braxton D, Gill, Dipender, Wells, Andrew D, Manduchi, Elisabetta, Saiman, Yedidya, Mahmud, Nadim, Miller, Donald R, Reaven, Peter D, Phillips, Lawrence S, Muralidhar, Sumitra, DuVall, Scott L, Lee, Jennifer S, Assimes, Themistocles L, Pyarajan, Saiju, Cho, Kelly, Edwards, Todd L, Damrauer, Scott M, Wilson, Peter W, Gaziano, J Michael, O’Donnell, Christopher J, Khera, Amit V, Grant, Struan FA, Brown, Christopher D, Tsao, Philip S, Saleheen, Danish, Lotta, Luca A, Bastarache, Lisa, Anstee, Quentin M, Daly, Ann K, Meigs, James B, Rotter, Jerome I, Lynch, Julie A, Rader, Daniel J, Voight, Benjamin F, and Chang, Kyong-Mi
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Genetics ,Liver Disease ,Human Genome ,Digestive Diseases ,Chronic Liver Disease and Cirrhosis ,Aetiology ,2.1 Biological and endogenous factors ,Alanine Transaminase ,Alpha-Ketoglutarate-Dependent Dioxygenase FTO ,Genome-Wide Association Study ,Humans ,Intracellular Signaling Peptides and Proteins ,Lipase ,Membrane Proteins ,Non-alcoholic Fatty Liver Disease ,Polymorphism ,Single Nucleotide ,Protein Serine-Threonine Kinases ,Regeneron Genetics Center ,Geisinger-Regeneron DiscovEHR Collaboration ,EPoS Consortium ,VA Million Veteran Program ,Biological Sciences ,Medical and Health Sciences ,Developmental Biology - Abstract
Nonalcoholic fatty liver disease (NAFLD) is a growing cause of chronic liver disease. Using a proxy NAFLD definition of chronic elevation of alanine aminotransferase (cALT) levels without other liver diseases, we performed a multiancestry genome-wide association study (GWAS) in the Million Veteran Program (MVP) including 90,408 cALT cases and 128,187 controls. Seventy-seven loci exceeded genome-wide significance, including 25 without prior NAFLD or alanine aminotransferase associations, with one additional locus identified in European American-only and two in African American-only analyses (P
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- 2022
12. Comparison of clinical prediction rules for ruling out cirrhosis in nonalcoholic fatty liver disease (NAFLD)
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Brandman, Danielle, Boyle, Marie, McPherson, Stuart, Van Natta, Mark L, Sanyal, Arun J, Kowdley, Kris, Neuschwander‐Tetri, Brent, Chalasani, Naga, Abdelmalek, Manal F, Terrault, Norah A, McCullough, Art, Bettencourt, Ricki, Caussy, Cyrielle, Kleiner, David E, Behling, Cynthia, Tonascia, James, Anstee, Quentin M, Loomba, Rohit, and Network, Members of the Nonalcoholic Steatohepatitis Clinical Research
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Biomedical and Clinical Sciences ,Clinical Sciences ,Digestive Diseases ,Hepatitis ,Liver Disease ,Chronic Liver Disease and Cirrhosis ,Detection ,screening and diagnosis ,4.2 Evaluation of markers and technologies ,Oral and gastrointestinal ,Good Health and Well Being ,Adult ,Biopsy ,Clinical Decision Rules ,Cross-Sectional Studies ,Female ,Fibrosis ,Humans ,Liver ,Liver Cirrhosis ,Non-alcoholic Fatty Liver Disease ,cirrhosis ,nonalcoholic fatty liver disease ,noninvasive assessment ,Members of the Nonalcoholic Steatohepatitis Clinical Research Network ,Pharmacology and Pharmaceutical Sciences ,Gastroenterology & Hepatology ,Clinical sciences ,Pharmacology and pharmaceutical sciences - Abstract
Background and aimsPatients with nonalcoholic fatty liver disease (NAFLD) cirrhosis benefit from referral to subspecialty care. While several clinical prediction rules exist to identify advanced fibrosis, the cutoff for excluding cirrhosis due to NAFLD is unclear. This analysis compared clinical prediction rules for excluding biopsy-proven cirrhosis in NAFLD.MethodsAdult patients were enrolled in the NASH Clinical Research Network (US) and the Newcastle Cohort (UK). Clinical and laboratory data were collected at enrolment, and a liver biopsy was taken within 1 year of enrolment. Optimal cutoffs for each score (eg, FIB-4) to exclude cirrhosis were derived from the US cohort, and sensitivity, specificity, positive predictive value, negative predictive value and AUROC were calculated. The cutoffs were evaluated in the UK cohort.Results147/1483 (10%) patients in the US cohort had cirrhosis. All prediction rules had similarly high NPV (0.95-0.97). FIB-4 and NAFLD fibrosis scores were the most accurate in characterising patients as having cirrhosis (AUROC 0.84-0.86). 59/494 (12%) patients in the UK cohort had cirrhosis. Prediction rules had high NPV (0.92-0.96), and FIB-4 and NAFLD fibrosis score the most accurate in the prediction of cirrhosis in the UK cohort (AUROC 0.87-0.89).ConclusionsThis cross-sectional analysis of large, multicentre international datasets shows that current clinical prediction rules perform well in excluding cirrhosis with appropriately chosen cutoffs. These clinical prediction rules can be used in primary care to identify patients, particularly those who are white, female, and
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- 2022
13. Age, BMI, and Type 2 Diabetes Modify the Relationship Between PNPLA3 and Advanced Fibrosis in Children and Adults With NAFLD
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Jarasvaraparn, Chaowapong, Vilar-Gomez, Eduardo, Yates, Katherine P., Wilson, Laura A., Neuschwander-Tetri, Brent, Loomba, Rohit, Cummings, Oscar, Vos, Miriam, Xanthakos, Stavra, Schwimmer, Jeffrey, Molleston, Jean P., Sanyal, Arun, Tonascia, James, and Chalasani, Naga
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- 2024
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14. Validation of the accuracy of the FAST™ score for detecting patients with at-risk nonalcoholic steatohepatitis (NASH) in a North American cohort and comparison to other non-invasive algorithms
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Woreta, Tinsay A, Van Natta, Mark L, Lazo, Mariana, Krishnan, Arunkumar, Neuschwander-Tetri, Brent A, Loomba, Rohit, Diehl, Anna Mae, Abdelmalek, Manal F, Chalasani, Naga, Gawrieh, Samer, Dasarathy, Srinivasan, Vuppalanchi, Raj, Siddiqui, Mohammad S, Kowdley, Kris V, McCullough, Arthur, Terrault, Norah A, Behling, Cynthia, Kleiner, David E, Fishbein, Mark, Hertel, Paula, Wilson, Laura A, Mitchell, Emily P, Miriel, Laura A, Clark, Jeanne M, Tonascia, James, and Sanyal, Arun J
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Biomedical and Clinical Sciences ,Clinical Sciences ,Digestive Diseases ,Liver Disease ,Chronic Liver Disease and Cirrhosis ,Women's Health ,Obesity ,Hepatitis ,Clinical Research ,4.2 Evaluation of markers and technologies ,Oral and gastrointestinal ,Adult ,Algorithms ,Biopsy ,Cohort Studies ,Female ,Fibrosis ,Humans ,Liver ,Liver Cirrhosis ,Male ,Middle Aged ,Non-alcoholic Fatty Liver Disease ,Severity of Illness Index ,NASH Clinical Research Network ,General Science & Technology - Abstract
Background and aimsManagement of patients with NASH who are at elevated risk of progressing to complications of cirrhosis (at-risk NASH) would be enhanced by an accurate, noninvasive diagnostic test. The new FAST™ score, a combination of FibroScan® parameters liver stiffness measurement (LSM) and controlled attenuation parameter (CAP) and aspartate aminotransferase (AST), has shown good diagnostic accuracy for at-risk NASH (area-under-the-Receiver-Operating-Characteristic [AUROC] = 0.80) in European cohorts. We aimed to validate the FAST™ score in a North American cohort and show how its diagnostic accuracy might vary by patient mix. We also compared the diagnostic performance of FAST™ to other non-invasive algorithms for the diagnosis of at-risk NASH.MethodsWe studied adults with biopsy-proven non-alcoholic fatty liver disease (NAFLD) from the multicenter NASH Clinical Research Network (CRN) Adult Database 2 (DB2) cohort study. At-risk-NASH was histologically defined as definite NASH with a NAFLD Activity Score (NAS) ≥ 4 with at least 1 point in each category and a fibrosis stage ≥ 2. We used the Echosens® formula for FAST™ from LSM (kPa), CAP (dB/m), and AST (U/L), and the FAST™-based Rule-Out (FAST™ ≤ 0.35, sensitivity = 90%) and Rule-In (FAST™ ≥ 0.67, specificity = 90%) zones. We determined the following diagnostic performance measures: AUROC, sensitivity (Se), specificity (Sp), positive predictive value (PPV), and negative predictive value (NPV); these were calculated for the total sample and by subgroups of patients and by FibroScan® exam features. We also compared the at-risk NASH diagnostic performance of FAST™ to other non-invasive algorithms: NAFLD fibrosis score (NFS), Fibrosis-4 (FIB-4) index, and AST to platelet ratio index (APRI).ResultsThe NASH CRN population of 585 patients was 62% female, 79% white, 14% Hispanic, and 73% obese; the mean age was 51 years. The mean (SD) AST and ALT were 50 (37) U/L and 66 (45) U/L, respectively. 214 (37%) had at-risk NASH. The AUROC of FAST™ for at-risk NASH in the NASH CRN study population was 0.81 (95% CI: 0.77, 0.84. Using FAST™-based cut-offs, 35% of patients were ruled-out with corresponding NPV = 0.90 and 27% of patients were ruled-in with corresponding PPV = 0.69. The diagnostic accuracy of FAST™ was higher in non-whites vs. whites (AUROC: 0.91 vs 0.78; p = 0.001), and in patients with a normal BMI vs. BMI > 35 kg/m2 (AUROC: 0.94 vs 0.78, p = 0.008). No differences were observed by other patient characteristics or FibroScan® exam features. The FAST™ score had higher diagnostic accuracy than other non-invasive algorithms for the diagnosis of at-risk NASH (AUROC for NFS, FIB-4, and APRI 0.67, 0.73, 0.74, respectively).ConclusionWe validated the FAST™ score for the diagnosis of at-risk NASH in a large, multi-racial population in North America, with a prevalence of at-risk NASH of 37%. Diagnostic performance varies by subgroups of NASH patients defined by race and obesity. FAST™ performed better than other non-invasive algorithms for the diagnosis of at-risk NASH.
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- 2022
15. TVB-2640 (FASN Inhibitor) for the Treatment of Nonalcoholic Steatohepatitis: FASCINATE-1, a Randomized, Placebo-Controlled Phase 2a Trial
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Loomba, Rohit, Mohseni, Rizwana, Lucas, K Jean, Gutierrez, Julio A, Perry, Robert G, Trotter, James F, Rahimi, Robert S, Harrison, Stephen A, Ajmera, Veeral, Wayne, Jeffrey D, O'Farrell, Marie, McCulloch, William, Grimmer, Katharine, Rinella, Mary, Wai-Sun Wong, Vincent, Ratziu, Vlad, Gores, Gregory J, Neuschwander-Tetri, Brent A, and Kemble, George
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Clinical Trials and Supportive Activities ,Nutrition ,Clinical Research ,Hepatitis ,Liver Disease ,Digestive Diseases ,Chronic Liver Disease and Cirrhosis ,6.1 Pharmaceuticals ,Evaluation of treatments and therapeutic interventions ,Oral and gastrointestinal ,Adult ,Biomarkers ,Enzyme Inhibitors ,Fatty Acid Synthase ,Type I ,Female ,Humans ,Lipids ,Lipogenesis ,Liver ,Liver Cirrhosis ,Male ,Middle Aged ,Nitriles ,Non-alcoholic Fatty Liver Disease ,Piperidines ,Single-Blind Method ,Time Factors ,Treatment Outcome ,Triazoles ,United States ,Palmitate ,PRO-C3 ,Clinical Sciences ,Neurosciences ,Paediatrics and Reproductive Medicine ,Gastroenterology & Hepatology - Abstract
Background & aimsIncreased de novo lipogenesis creates excess intrahepatic fat and lipotoxins, propagating liver damage in nonalcoholic steatohepatitis. TVB-2640, a fatty acid synthase inhibitor, was designed to reduce excess liver fat and directly inhibit inflammatory and fibrogenic pathways. We assessed the safety and efficacy of TVB-2640 in patients with nonalcoholic steatohepatitis in the United States.Methods3V2640-CLIN-005 (FASCINATE-1) was a randomized, placebo-controlled, single-blind study at 10 US sites. Adults with ≥8% liver fat, assessed by magnetic resonance imaging proton density fat fraction, and evidence of liver fibrosis by magnetic resonance elastography ≥2.5 kPa or liver biopsy were eligible. Ninety-nine patients were randomized to receive placebo or 25 mg or 50 mg of TVB-2640 (orally, once-daily for 12 weeks). The primary end points of this study were safety and relative change in liver fat after treatment.ResultsLiver fat increased in the placebo cohort by 4.5% relative to baseline; in contrast TVB-2640 reduced liver fat by 9.6% in the 25-mg cohort (n = 30; least squares mean: -15.5%; 95% confidence interval, -31.3 to -0.23; P = .053), and 28.1% in the 50-mg cohort (n = 28; least squares mean: -28.0%; 95% confidence interval, -44.5 to -11.6; P = .001). Eleven percent of patients in the placebo group achieved a ≥30% relative reduction of liver fat compared to 23% in the 25-mg group, and 61% in the 50-mg group (P < .001). Secondary analyses showed improvements of metabolic, pro-inflammatory and fibrotic markers. TVB-2640 was well tolerated; adverse events were mostly mild and balanced among the groups.ConclusionsTVB-2640 significantly reduced liver fat and improved biochemical, inflammatory, and fibrotic biomarkers after 12 weeks, in a dose-dependent manner in patients with nonalcoholic steatohepatitis. ClinicalTrials.gov, Number NCT03938246.
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- 2021
16. Prospective Study of Outcomes in Adults with Nonalcoholic Fatty Liver Disease
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Sanyal, Arun J, Van Natta, Mark L, Clark, Jeanne, Neuschwander-Tetri, Brent A, Diehl, AnnaMae, Dasarathy, Srinivasan, Loomba, Rohit, Chalasani, Naga, Kowdley, Kris, Hameed, Bilal, Wilson, Laura A, Yates, Katherine P, Belt, Patricia, Lazo, Mariana, Kleiner, David E, Behling, Cynthia, and Tonascia, James
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Chronic Liver Disease and Cirrhosis ,Clinical Research ,Liver Disease ,Digestive Diseases ,Good Health and Well Being ,Adult ,Biopsy ,Carcinoma ,Hepatocellular ,Female ,Gastrointestinal Hemorrhage ,Humans ,Incidence ,Liver ,Liver Cirrhosis ,Liver Neoplasms ,Male ,Middle Aged ,Non-alcoholic Fatty Liver Disease ,Prognosis ,Prospective Studies ,Severity of Illness Index ,NASH Clinical Research Network ,Medical and Health Sciences ,General & Internal Medicine - Abstract
BackgroundThe prognoses with respect to mortality and hepatic and nonhepatic outcomes across the histologic spectrum of nonalcoholic fatty liver disease (NAFLD) are not well defined.MethodsWe prospectively followed a multicenter patient population that included the full histologic spectrum of NAFLD. The incidences of death and other outcomes were compared across baseline histologic characteristics.ResultsA total of 1773 adults with NAFLD were followed for a median of 4 years. All-cause mortality increased with increasing fibrosis stages (0.32 deaths per 100 person-years for stage F0 to F2 [no, mild, or moderate fibrosis], 0.89 deaths per 100 persons-years for stage F3 [bridging fibrosis], and 1.76 deaths per 100 person-years for stage F4 [cirrhosis]). The incidence of liver-related complications per 100 person-years increased with fibrosis stage (F0 to F2 vs. F3 vs. F4) as follows: variceal hemorrhage (0.00 vs. 0.06 vs. 0.70), ascites (0.04 vs. 0.52 vs. 1.20), encephalopathy (0.02 vs. 0.75 vs. 2.39), and hepatocellular cancer (0.04 vs. 0.34 vs. 0.14). As compared with patients with stage F0 to F2 fibrosis, patients with stage F4 fibrosis also had a higher incidence of type 2 diabetes (7.53 vs. 4.45 events per 100 person-years) and a decrease of more than 40% in the estimated glomerular filtration rate (2.98 vs. 0.97 events per 100 person-years). The incidence of cardiac events and nonhepatic cancers were similar across fibrosis stages. After adjustment for age, sex, race, diabetes status, and baseline histologic severity, the incidence of any hepatic decompensation event (variceal hemorrhage, ascites, or encephalopathy) was associated with increased all-cause mortality (adjusted hazard ratio, 6.8; 95% confidence interval, 2.2 to 21.3).ConclusionsIn this prospective study involving patients with NAFLD, fibrosis stages F3 and F4 were associated with increased risks of liver-related complications and death. (Funded by the National Institute of Diabetes and Digestive and Kidney Diseases and others; NAFLD DB2 ClinicalTrials.gov number, NCT01030484.).
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- 2021
17. Pegbelfermin in Patients With Nonalcoholic Steatohepatitis and Compensated Cirrhosis (FALCON 2): A Randomized Phase 2b Study
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Abdelmalek, Manal F., Sanyal, Arun J., Nakajima, Atsushi, Neuschwander-Tetri, Brent A., Goodman, Zachary D., Lawitz, Eric J., Harrison, Stephen A., Jacobson, Ira M., Imajo, Kento, Gunn, Nadege, Halegoua-DeMarzio, Dina, Akahane, Takemi, Boone, Bradly, Yamaguchi, Masayuki, Chatterjee, Arkendu, Tirucherai, Giridhar S., Shevell, Diane E., Du, Shuyan, Charles, Edgar D., and Loomba, Rohit
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- 2024
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18. Pegbelfermin in Patients With Nonalcoholic Steatohepatitis and Stage 3 Fibrosis (FALCON 1): A Randomized Phase 2b Study
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Loomba, Rohit, Sanyal, Arun J., Nakajima, Atsushi, Neuschwander-Tetri, Brent A., Goodman, Zachary D., Harrison, Stephen A., Lawitz, Eric J., Gunn, Nadege, Imajo, Kento, Ravendhran, Natarajan, Akahane, Takemi, Boone, Bradly, Yamaguchi, Masayuki, Chatterjee, Arkendu, Tirucherai, Giridhar S., Shevell, Diane E., Du, Shuyan, Charles, Edgar D., and Abdelmalek, Manal F.
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- 2024
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19. Cenicriviroc Lacked Efficacy to Treat Liver Fibrosis in Nonalcoholic Steatohepatitis: AURORA Phase III Randomized Study
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Anstee, Quentin M., Neuschwander-Tetri, Brent A., Wai-Sun Wong, Vincent, Abdelmalek, Manal F., Rodriguez-Araujo, Gerardo, Landgren, Henrik, Park, Grace S., Bedossa, Pierre, Alkhouri, Naim, Tacke, Frank, and Sanyal, Arun J.
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- 2024
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20. De Novo Lipogenesis Inhibitors
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Neuschwander-Tetri, Brent A., primary
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- 2023
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21. Patient Determinants for Histologic Diagnosis of NAFLD in the Real World: A TARGET‐NASH Study
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Barritt, A Sidney, Watkins, Stephanie, Gitlin, Norman, Klein, Samuel, Lok, Anna S, Loomba, Rohit, Schoen, Cheryl, Reddy, K Rajender, Trinh, Huy Ngoc, Mospan, Andrea R, Vos, Miriam B, Weiss, L Michael, Cusi, Kenneth, Neuschwander‐Tetri, Brent A, and Sanyal, Arun J
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Biomedical and Clinical Sciences ,Clinical Sciences ,Liver Disease ,Digestive Diseases ,Chronic Liver Disease and Cirrhosis ,Hepatitis ,Clinical Research ,Good Health and Well Being ,Clinical sciences - Abstract
Much of the current data on nonalcoholic fatty liver disease (NAFLD) are derived from biopsy-based studies that may introduce ascertainment and selection bias. Selection of patients for liver biopsy has implications for clinical practice and the reported epidemiology of NAFLD. The aim of this study was to determine patient factors predictive of histologic versus empiric clinical diagnosis of NAFLD in real-world practice. Adults from TARGET-NASH were included in this study. Descriptive statistics are provided for the cohort and compare the characteristics of histologic NAFLD versus patients with clinically diagnosed NAFLD, followed by logistic regression and machine-learning models to describe predictors of liver biopsy. The records of 3,474 subjects were analyzed; median age was 59 years, 59% were female, 75% were White, and median body mass index was 32 kg/m2. Using histologic and/or clinical criteria, a diagnosis of nonalcoholic steatohepatitis was made in 37%, and cirrhosis in 33%. Comorbid conditions included cardiovascular disease (19%), mental health diagnoses (49%), and osteoarthritis (10%). Predictors of a biopsy diagnosis included White race, female sex, diabetes, and elevated alanine aminotransferase (ALT). ALT increased the odds of liver biopsy by 14% per 10-point rise. Machine-learning analyses showed non-White patients with ALT
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- 2021
22. Ube4A maintains metabolic homeostasis and facilitates insulin signaling in vivo
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Mukherjee, Sandip, Chakraborty, Molee, Msengi, Eliwaza N., Haubner, Jake, Zhang, Jinsong, Jellinek, Matthew J., Carlson, Haley L., Pyles, Kelly, Ulmasov, Barbara, Lutkewitte, Andrew J., Carpenter, Danielle, McCommis, Kyle S., Ford, David A., Finck, Brian N., Neuschwander-Tetri, Brent A., and Chakraborty, Anutosh
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- 2023
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23. A global research priority agenda to advance public health responses to fatty liver disease
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Lazarus, Jeffrey V., Mark, Henry E., Allen, Alina M., Arab, Juan Pablo, Carrieri, Patrizia, Noureddin, Mazen, Alazawi, William, Alkhouri, Naim, Alqahtani, Saleh A., Arrese, Marco, Bataller, Ramon, Berg, Thomas, Brennan, Paul N., Burra, Patrizia, Castro-Narro, Graciela E., Cortez-Pinto, Helena, Cusi, Kenneth, Dedes, Nikos, Duseja, Ajay, Francque, Sven M., Hagström, Hannes, Huang, Terry T-K., Wajcman, Dana Ivancovsky, Kautz, Achim, Kopka, Christopher J., Krag, Aleksander, Miller, Veronica, Newsome, Philip N., Rinella, Mary E., Romero, Diana, Sarin, Shiv Kumar, Silva, Marcelo, Spearman, C. Wendy, Tsochatzis, Emmanuel A., Valenti, Luca, Villota-Rivas, Marcela, Zelber-Sagi, Shira, Schattenberg, Jörn M., Wong, Vincent Wai-Sun, Younossi, Zobair M., Aberg, Fredrik, Adams, Leon, Al-Naamani, Khalid, Albadawy, Reda M., Alexa, Zinaida, Allison, Michael, Alnaser, Faisal A., Alswat, Khalid, Alvares-da-Silva, Mario Reis, Alvaro, Domenico, Alves-Bezerra, Michele, Andrade, Raul J., Anstee, Quentin M., Awuku, Yaw Asante, Baatarkhuu, Oidov, Baffy, Gyorgy, Bakieva, Shokhista, Bansal, Meena B., Barouki, Robert, Batterham, Rachel L., Behling, Cynthia, Belfort-DeAguiar, Renata, Berzigotti, Annalisa, Betel, Michael, Bianco, Cristiana, Bosi, Emanuele, Boursier, Jerome, Brunt, Elizabeth M., Bugianesi, Elisabetta, Byrne, Christopher J., Cabrera Cabrejos, Maria Cecilia, Caldwell, Stephen, Carr, Rotonya, Castellanos Fernández, Marlen Ivón, Castera, Laurent, Castillo-López, Maria Gabriela, Caussy, Cyrielle, Cerda-Reyes, Eira, Ceriello, Antonio, Chan, Wah- Kheong, Chang, Yoosoo, Charatcharoenwitthaya, Phunchai, Chavez-Tapia, Norberto, Chung, Raymond T., Colombo, Massimo, Coppell, Kirsten, Cotrim, Helma P., Craxi, Antonio, Crespo, Javier, Dassanayake, Anuradha, Davidson, Nicholas O., De Knegt, Robert, de Ledinghen, Victor, Demir, Münevver, Desalegn, Hailemichael, Diago, Moises, Dillon, John F., Dimmig, Bruce, Dirac, M. Ashworth, Dirchwolf, Melisa, Dufour, Jean-François, Dvorak, Karel, Ekstedt, Mattias, El-Kassas, Mohamed, Elsanousi, Osama M., Elsharkawy, Ahmed M., Elwakil, Reda, Eskridge, Wayne, Eslam, Mohammed, Esmat, Gamal, Fan, Jian- Gao, Ferraz, Maria Lucia, Flisiak, Robert, Fortin, Davide, Fouad, Yasser, Freidman, Scott L., Fuchs, Michael, Gadano, Adrian, Gastaldelli, Amalia, Geerts, Anja, Geier, Andreas, George, Jacob, Gerber, Lynn H., Ghazinyan, Hasmik, Gheorghe, Liana, Kile, Denise Giangola, Girala, Marcos, Boon Bee, George Goh, Goossens, Nicolas, Graupera, Isabel, Grønbæk, Henning, Hamid, Saeed, Hebditch, Vanessa, Henry, Zachary, Hickman, Ingrid J., Hobbs, L. Ansley, Hocking, Samantha L., Hofmann, Wolf Peter, Idilman, Ramazan, Iruzubieta, Paula, Isaacs, Scott, Isakov, Vasily A., Ismail, Mona H., Jamal, Mohammad H., Jarvis, Helen, Jepsen, Peter, Jornayvaz, François, Sudhamshu, K.C., Kakizaki, Satoru, Karpen, Saul, Kawaguchi, Takumi, Keating, Shelley E., Khader, Yousef, Kim, Seung Up, Kim, Won, Kleiner, David E., Koek, Ger, Joseph Komas, Narcisse Patrice, Kondili, Loreta A., Koot, Bart G., Korenjak, Marko, Kotsiliti, Eleni, Koulla, Yiannoula, Kugelmas, Carina, Kugelmas, Marcelo, Labidi, Asma, Lange, Naomi F., Lavine, Joel E., Lazo, Mariana, Leite, Nathalie, Lin, Han-Chieh, Lkhagvaa, Undram, Long, Michelle T., Lopez-Jaramillo, Patricio, Lozano, Adelina, Macedo, Maria Paula, Malekzadeh, Reza, Marchesini, Giulio, Marciano, Sebastian, Martinez, Kim, Martínez Vázquez, Sophia E., Mateva, Lyudmila, Mato, José M., Nlombi, Charles Mbendi, McCary, Alexis Gorden, McIntyre, Jeff, McKee, Martin, Mendive, Juan M., Mikolasevic, Ivana, Miller, Pamela S., Milovanovic, Tamara, Milton, Terri, Moreno-Alcantar, Rosalba, Morgan, Timothy R., Motala, Ayesha, Muris, Jean, Musso, Carla, Nava-González, Edna J., Negro, Francesco, Nersesov, Alexander V., Neuschwander-Tetri, Brent A., Nikolova, Dafina, Norris, Suzanne, Novak, Katja, Ocama, Ponsiano, Ong, Janus P., Ong-Go, Arlinking, Onyekwere, Charles, Padilla, Martin, Pais, Raluca, Pan, Calvin, Panduro, Arturo, Panigrahi, Manas K., Papatheodoridis, Georgios, Paruk, Imran, Patel, Keyur, Gonçalves, Carlos Penha, Figueroa, Marlene Pérez, Pérez-Escobar, Juanita, Pericàs, Juan M., Perseghin, Gianluca, Pessoa, Mário Guimarães, Petta, Salvatore, Marques Souza de Oliveira, Claudia Pinto, Prabhakaran, Dorairaj, Pyrsopoulous, Nikolaos, Rabiee, Atoosa, Ramji, Alnoor, Ratziu, Vlad, Ravendhran, Natarajan, Ray, Katrina, Roden, Michael, Romeo, Stefano, Romero-Gómez, Manuel, Rotman, Yaron, Rouabhia, Samir, Rowe, Ian A., Sadirova, Shakhlo, Alkhatry, Maryam Salem, Salupere, Riina, Satapathy, Sanjaya K., Schwimmer, Jeffrey B., Sebastiani, Giada, Seim, Lynn, Seki, Yosuke, Serme, Abdel Karim, Shapiro, David, Sharvadze, Lali, Shaw, Jonathan E., Shawa, Isaac Thom, Shenoy, Thrivikrama, Shibolet, Oren, Shimakawa, Yusuke, Shubrook, Jay H., Singh, Shivaram Prasad, Sinkala, Edford, Skladany, Lubomir, Skrypnyk, Igor, Song, Myeong Jun, Sookoian, Silvia, Sridharan, Kannan, Stefan, Norbert, Stine, Jonathan G., Stratakis, Nikolaos, Sheriff, Dhastagir Sultan, Sundaram, Shikha S., Svegliati-Baroni, Gianluca, Swain, Mark G., Tacke, Frank, Taheri, Shahrad, Tan, Soek-Siam, Tapper, Elliot B., Targher, Giovanni, Tcaciuc, Eugen, Thiele, Maja, Tiniakos, Dina, Tolmane, Ieva, Torre, Aldo, Torres, Esther A., Treeprasertsuk, Sombat, Trenell, Michael, Turcan, Svetlana, Turcanu, Adela, Valantinas, Jonas, van Kleef, Laurens A., Velarde Ruiz Velasco, Jose Antonio, Vesterhus, Mette, Vilar-Gomez, Eduardo, Waked, Imam, Wattacheril, Julia, Wedemeyer, Heiner, Wilkins, Fonda, Willemse, José, Wong, Robert J., Yilmaz, Yusuf, Yki-Järvinen, Hannele, Yu, Ming-Lung, Yumuk, Volkan, Zeybel, Müjdat, Zheng, Kenneth I., Zheng, Ming-Hua, and Huang, Terry T.-K.
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- 2023
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24. Diagnostic Accuracy of Noninvasive Fibrosis Models to Detect Change in Fibrosis Stage
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Siddiqui, Mohammad Shadab, Yamada, Goro, Vuppalanchi, Raj, Van Natta, Mark, Loomba, Rohit, Guy, Cynthia, Brandman, Danielle, Tonascia, James, Chalasani, Naga, Neuschwander-Tetri, Brent, Sanyal, Arun J, Allende, Daniela, Dasarathy, Srinivasan, McCullough, Arthur J, Penumatsa, Revathi, Dasarathy, Jaividhya, Lavine, Joel E, Abdelmalek, Manal F, Bashir, Mustafa, Buie, Stephanie, Diehl, Anna Mae, Kigongo, Christopher, Kopping, Mariko, Malik, David, Piercy, Dawn, Cummings, Oscar W, Gawrieh, Samer, Ragozzino, Linda, Sandrasegaran, Kumar, Brunt, Elizabeth M, Cattoor, Theresa, Carpenter, Danielle, Freebersyser, Janet, King, Debra, Lai, Jinping, Neuschwander-Tetri, Brent A, Siegner, Joan, Stewart, Susan, Torretta, Susan, Wriston, Kristina, Gonzalez, Maria Cardona, Davila, Jodie, Jhaveri, Manan, Kowdley, Kris V, Mukhtar, Nizar, Ness, Erik, Poitevin, Michelle, Quist, Brook, Soo, Sherilynn, Ang, Brandon, Behling, Cynthia, Bhatt, Archana, Middleton, Michael S, Sirlin, Claude, Akhter, Maheen F, Bass, Nathan M, Gill, Ryan, Hameed, Bilal, Maher, Jacqueline, Terrault, Norah, Ungermann, Ashley, Yeh, Matthew, Boyett, Sherry, Contos, Melissa J, Kirwin, Sherri, Luketic, Velimir AC, Puri, Puneet, Schlosser, Jolene, Siddiqui, Mohammad S, Yost-Schomer, Leslie, Fowler, Kathryn, Kleiner, David E, Doo, Edward C, Hall, Sherry, Hoofnagle, Jay H, Lee, Jessica J, Robuck, Patricia R, Sherker, Averell H, Torrance, Rebecca, Belt, Patricia, Clark, Jeanne M, Dodge, John, Donithan, Michele, Hallinan, Erin, Isaacson, Milana, Lazo, Mariana, Meinert, Jill, Miriel, Laura, Smith, Jacqueline, Smith, Michael, Sternberg, Alice, and Van Natta, Mark L
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Clinical Research ,Chronic Liver Disease and Cirrhosis ,Liver Disease ,Digestive Diseases ,Detection ,screening and diagnosis ,4.2 Evaluation of markers and technologies ,Good Health and Well Being ,Adult ,Alanine Transaminase ,Aspartate Aminotransferases ,Biopsy ,Disease Progression ,Female ,Humans ,Liver ,Liver Cirrhosis ,Male ,Middle Aged ,Non-alcoholic Fatty Liver Disease ,Platelet Count ,Predictive Value of Tests ,Retrospective Studies ,Sensitivity and Specificity ,Severity of Illness Index ,Nonalcoholic Steatohepatitis ,Diagnostic ,Prognostic ,Scoring System Comparison ,NASH Clinical Research Network ,Clinical Sciences ,Gastroenterology & Hepatology - Abstract
Background & aimsNoninvasive methods are needed to determine disease stage in patients with nonalcoholic fatty liver disease (NAFLD). We evaluated the diagnostic performance of several widely available fibrosis models for the assessment of hepatic fibrosis in patients with NAFLD.MethodsWe performed a retrospective analysis of data from individuals enrolled in the NIDDK NASH Clinical Research Network, from 2004 through 2018. Using biopsy as the reference standard, we determined the diagnostic performance of the aspartate aminotransferase (AST):platelet ratio (APRI), FIB-4, ratio of AST:alanine aminotransferase (ALT) and the NAFLD fibrosis score (NFS) in a cross-sectional study of 1904 subjects. The ability of these models to detect changes in fibrosis stage was assessed in a longitudinal data set of 292 subjects with 2 biopsies and accompanying laboratory data. Outcomes were detection of fibrosis of any stage (stages 0-4), detection of moderate fibrosis (stages 0-1 vs 2-4), and detection of advanced fibrosis (stages 0-2 vs 3-4). Diagnostic performance was evaluated using the C-statistic, sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) analyses.ResultsIn the cross-sectional study, FIB-4 and NFS outperformed other non-invasive models for detecting advanced fibrosis; the C-statistics were 0.80 for FIB-4 and 0.78 for NFS. In the longitudinal study, 216 patients had non-advanced fibrosis at baseline and 35 patients progressed to advanced fibrosis after median follow up of 2.6 years. After we adjusted for fibrosis stage and model score at initial biopsy, change in APRI, FIB-4, and NFS were significantly associated with change in fibrosis. A unit change in APRI, FIB-4, or NFS was associated with changes in fibrosis stage of 0.33 (95% CI, 0.20-0.45; P < .001), 0.26 (95% CI, 0.15-0.37; P < .001), and 0.19 (95% CI, 0.07-0.31; P = .002), respectively. The cross-validated C-statistic for detecting progression to advanced fibrosis for APRI was 0.82 (95% CI, 0.74-0.89), for FIB-4 was 0.81 (95% CI, 0.73-0.81), and for NFS was 0.80 (95% CI, 0.71-0.88).ConclusionsIn a combined analysis of data from 2 large studies, we found that FIB-4, APRI, and NFS can detect advanced fibrosis and fibrosis progression in patients with NAFLD.
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- 2019
25. Fibrosis Progression Rate in Biopsy-Proven Nonalcoholic Fatty Liver Disease Among People With Diabetes Versus People Without Diabetes: A Multicenter Study
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Allende, Daniela, Bellar, Annette, Dasarathy, Jaividhya, Dasarathy, Srinivasan, Welch, Nicole, Yerrapothu, Rahul, Bashir, Mustafa, Diehl, Anna Mae, Guy, Cynthia, Kopping, Mariko, Piercy, Dawn, Suzuki, Ayako, Tawadrou, Naglaa, Chalasani, Naga, Cruz, Mandy, Cummings, Oscar W., Garrison, Lisa, Gawrieh, Samer, Samala, Niharika, Vuppalanchi, Raj, Carpenter, Danielle, Cattoor, Theresa, Freebersyser, Janet, Neuschwander-Tetri, Brent A., Angkanaworakul, Pannapat, Berihun, Achashman, Buysse, Andrew, Dorrian, Theresa, Gulati, Breanna, Kowdley, Kris V., Liu, Kevin, Misic, Sandra, Sohal, Adam, Vuong, Joseph, Ajmera, Veeral, Behling, Cynthia, Loomba, Rohit, Madamba, Egbert, Middleton, Michael S., Richards, Lisa, Singh, Seema, Sirlin, Claude, Gill, Ryan, Hameed, Bilal, Awe, Remilekun, Olvera, Daisy, Terrault, Norah, Yuan, Liyun, Yeh, Matthew, Albhaisi, Somaya, Asgharpour, Amon, Boyett, Sherry, Contos, Melissa J., Luketic, Velimir A.C., Sanyal, Arun J., Schlosser, Jolene, Siddiqui, Mohammad S., Kleiner, David E., Adamo, Peggy, Belt, Patricia, Clark, Jeanne M., DeSanto, Jennifer M., Meinert, Jill, Miriel, Laura, Mitchell, Emily P., Shade, Carrie, Smith, Jacqueline, Smith, Michael, Sternberg, Alice, Tonascia, James, Van Natta, Mark L., Wagoner, Annette, Wilson, Laura A., Woreta, Tinsay, Yates, Katherine P., Huang, Daniel Q., Amangurbanova, Maral, and Terrault, Norah A.
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- 2023
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26. Multicenter Validation of Association Between Decline in MRI‐PDFF and Histologic Response in NASH
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Loomba, Rohit, Neuschwander‐Tetri, Brent A, Sanyal, Arun, Chalasani, Naga, Diehl, Anna Mae, Terrault, Norah, Kowdley, Kris, Dasarathy, Srinivasan, Kleiner, David, Behling, Cynthia, Lavine, Joel, Van Natta, Mark, Middleton, Michael, Tonascia, James, Sirlin, Claude, and Network, for the NASH Clinical Research
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Biomedical and Clinical Sciences ,Clinical Sciences ,Digestive Diseases ,Clinical Research ,Clinical Trials and Supportive Activities ,Liver Disease ,Hepatitis ,Chronic Liver Disease and Cirrhosis ,Biomedical Imaging ,Evaluation of treatments and therapeutic interventions ,6.1 Pharmaceuticals ,Oral and gastrointestinal ,Adipose Tissue ,Adult ,Aged ,Chenodeoxycholic Acid ,Double-Blind Method ,Female ,Humans ,Liver ,Magnetic Resonance Imaging ,Male ,Middle Aged ,Non-alcoholic Fatty Liver Disease ,Protons ,Weight Loss ,NASH Clinical Research Network ,Medical Biochemistry and Metabolomics ,Immunology ,Gastroenterology & Hepatology ,Clinical sciences - Abstract
Background and aimsEmerging data from a single-center study suggests that a 30% relative reduction in liver fat content as assessed by magnetic resonance imaging-proton density fat fraction (MRI-PDFF) from baseline may be associated with histologic improvement in nonalcoholic steatohepatitis (NASH). There are limited multicenter data comparing an active drug versus placebo on the association between the quantity of liver fat reduction assessed by MRI-PDFF and histologic response in NASH. This study aims to examine the association between 30% relative reduction in MRI-PDFF and histologic response in obeticholic acid (OCA) versus placebo-treated patients in the FLINT (farnesoid X receptor ligand obeticholic acid in NASH trial).Approach and resultsThis is a secondary analysis of the FLINT trial including 78 patients with MRI-PDFF measured before and after treatment along with paired liver histology assessment. Histologic response was defined as a 2-point improvement in nonalcoholic fatty liver disease activity score without worsening of fibrosis. OCA (25 mg orally once daily) was better than placebo in improving MRI-PDFF by an absolute difference of -3.4% (95% confidence interval [CI], -6.5 to -0.2%, P value = 0.04) and relative difference of -17% (95% CI, -34 to 0%, P value = 0.05). The optimal cutoff point for relative decline in MRI-PDFF for histologic response was 30% (using Youden's index). The rate of histologic response in those who achieved less than 30% decline in MRI-PDFF versus those who achieved a 30% or greater decline in MRI-PDFF (MRI-PDFF responders) relative to baseline was 19% versus 50%, respectively. Compared with MRI-PDFF nonresponders, MRI-PDFF responders demonstrated both a statistically and clinically significant higher odds 4.86 (95% CI, 1.4-12.8, P value
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- 2020
27. Impact of obeticholic acid on the lipoprotein profile in patients with non-alcoholic steatohepatitis
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Siddiqui, Mohammad Shadab, Van Natta, Mark L, Connelly, Margery A, Vuppalanchi, Raj, Neuschwander-Tetri, Brent A, Tonascia, James, Guy, Cynthia, Loomba, Rohit, Dasarathy, Srinivasan, Wattacheril, Julia, Chalasani, Naga, Sanyal, Arun J, and CRN, for the NASH
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Biomedical and Clinical Sciences ,Clinical Sciences ,Atherosclerosis ,Hepatitis ,Clinical Trials and Supportive Activities ,Cardiovascular ,Chronic Liver Disease and Cirrhosis ,Liver Disease ,Clinical Research ,Digestive Diseases ,Evaluation of treatments and therapeutic interventions ,6.1 Pharmaceuticals ,Good Health and Well Being ,Adult ,Biopsy ,Chenodeoxycholic Acid ,Drug Therapy ,Combination ,Female ,Humans ,Hydroxymethylglutaryl-CoA Reductase Inhibitors ,Lipoproteins ,HDL ,Lipoproteins ,LDL ,Lipoproteins ,VLDL ,Liver ,Male ,Middle Aged ,Non-alcoholic Fatty Liver Disease ,Receptors ,Cytoplasmic and Nuclear ,Treatment Outcome ,Nonalcoholic steatohepatitis ,NASH ,Very low-density lipoprotein ,Low-density lipoprotein ,High-density lipoprotein ,Lipoproteins ,Cholesterol ,OCA ,NASH CRN ,Public Health and Health Services ,Gastroenterology & Hepatology ,Clinical sciences - Abstract
Background & aimsObeticholic acid (OCA), a farnesoid X receptor agonist, increases total and low-density lipoprotein cholesterol (LDL-C) in patients with non-alcoholic steatohepatitis. In the present study, we aimed to evaluate the impact of OCA therapy on lipoprotein sub-particles.MethodThis study included 196 patients (99 OCA group and 97 placebo group) who were enrolled in the FLINT trial and had samples available for lipid analysis and liver biopsies at enrollment and end-of-treatment (EOT) at 72 weeks. Very low-density lipoprotein (VLDL), low-density lipoprotein (LDL), and high-density lipoprotein (HDL) particles were evaluated at baseline, 12 and 72 weeks after randomization, and 24 weeks following EOT.ResultsBaseline lipoprotein profiles were similar among OCA and placebo groups. OCA did not affect total VLDL particle concentrations, but OCA vs. placebo treatment was associated with decreased large VLDL particle concentration at 12 weeks (baseline-adjusted mean: 6.8 vs. 8.9 nmol/L; p = 0.002), mirrored by an increase in less atherogenic, small VLDL particle concentration (33.9 vs. 28.0 nmol/L; p = 0.02). After 12 weeks, total LDL particle concentration was higher in the OCA group than the placebo group (1,667 vs. 1,329 nmol/L; p
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- 2020
28. A phase I/II study of ARO-HSD, an RNA interference therapeutic, for the treatment of non-alcoholic steatohepatitis
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Mak, Lung-Yi, Gane, Ed, Schwabe, Christian, Yoon, Ki Tae, Heo, Jeong, Scott, Russell, Lee, Jeong-Hoon, Lee, Jung Il, Kweon, Young Oh, Weltman, Martin, Harrison, Stephen A., Neuschwander-Tetri, Brent A., Cusi, Kenneth, Loomba, Rohit, Given, Bruce D., Christianson, Dawn R., Garcia-Medel, Eric, Yi, Min, Hamilton, James, and Yuen, Man-Fung
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- 2023
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29. Enhancing Hepatic MBOAT7 Expression in Mice With Nonalcoholic Steatohepatitis
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Sharpe, Martin C., Pyles, Kelly D., Hallcox, Taylor, Kamm, Dakota R., Piechowski, Michaela, Fisk, Bryan, Albert, Carolyn J., Carpenter, Danielle H., Ulmasov, Barbara, Ford, David A., Neuschwander-Tetri, Brent A., and McCommis, Kyle S.
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- 2023
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30. FRI-222-YI A prospective assessment of disease progression impact on patient-reported outcomes in metabolic dysfunction-associated steatotic liver disease
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O'Connor, Ian P., primary, Neuschwander-Tetri, Brent A., additional, Newsome, Philip N., additional, Mospan, Andrea, additional, Morris, Heather, additional, Schoen, Cheryl, additional, Iv, A. Sidney Barritt, additional, and Sanyal, Arun J., additional
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- 2024
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31. FRI-208 qBallooning: AI-based ballooned hepatocyte detection and quantification by second harmonic generation/two photon excitation microscopy
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Kleiner, David E., primary, Clouston, Andrew D., additional, Goodman, Zachary, additional, Guy, Cynthia D., additional, Brunt, Elizabeth M., additional, Lackner, Carolin, additional, Tiniakos, Dina G., additional, Wee, Aileen, additional, Yeh, Matthew, additional, Leow, Wei Qiang, additional, Chng, Elaine, additional, Ren, Yayun, additional, Goh, George Boon Bee, additional, Powell, Elizabeth E., additional, Rinella, Mary E., additional, Sanyal, Arun J, additional, Neuschwander-Tetri, Brent A., additional, Younossi, Zobair, additional, Charlton, Michael, additional, Ratziu, Vlad, additional, Harrison, Stephen A., additional, Tai, Dean, additional, and Anstee, Quentin M., additional
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- 2024
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32. Histologic Findings of Advanced Fibrosis and Cirrhosis in Patients With Nonalcoholic Fatty Liver Disease Who Have Normal Aminotransferase Levels.
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Gawrieh, Samer, Wilson, Laura A, Cummings, Oscar W, Clark, Jeanne M, Loomba, Rohit, Hameed, Bilal, Abdelmalek, Manal F, Dasarathy, Srinivasan, Neuschwander-Tetri, Brent A, Kowdley, Kris, Kleiner, David, Doo, Edward, Tonascia, James, Sanyal, Arun, and Chalasani, Naga
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Biomedical and Clinical Sciences ,Clinical Sciences ,Liver Disease ,Chronic Liver Disease and Cirrhosis ,Clinical Research ,Digestive Diseases ,Hepatitis ,Oral and gastrointestinal ,Aged ,Alanine Transaminase ,Aspartate Aminotransferases ,Biopsy ,Disease Progression ,Female ,Humans ,Liver ,Liver Cirrhosis ,Liver Function Tests ,Logistic Models ,Male ,Middle Aged ,Models ,Biological ,Non-alcoholic Fatty Liver Disease ,Predictive Value of Tests ,Prevalence ,Prospective Studies ,Risk Assessment ,Risk Factors ,NASH Clinical Research Network ,Gastroenterology & Hepatology ,Clinical sciences - Abstract
ObjectivesPatients with nonalcoholic fatty liver disease (NAFLD) and normal aminotransferase levels may have advanced liver histology. We conducted a study to characterize the prevalence of and factors associated with advanced liver histology in patients with histologically characterized NAFLD and normal aminotransferase levels.MethodsWe evaluated 534 adults with biopsy-proven NAFLD and alanine aminotransferase (ALT) and aspartate aminotransferase (AST)
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- 2019
33. Relationship between three commonly used non‐invasive fibrosis biomarkers and improvement in fibrosis stage in patients with non‐alcoholic steatohepatitis
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Chalasani, Naga, Abdelmalek, Manal F, Loomba, Rohit, Kowdley, Kris V, McCullough, Arthur J, Dasarathy, Srinivasan, Neuschwander‐Tetri, Brent A, Terrault, Norah, Ferguson, Beatrice, Shringarpure, Reshma, Shapiro, David, and Sanyal, Arun J
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Biomedical and Clinical Sciences ,Clinical Sciences ,Digestive Diseases ,Hepatitis ,Clinical Trials and Supportive Activities ,Chronic Liver Disease and Cirrhosis ,Clinical Research ,Liver Disease ,Evaluation of treatments and therapeutic interventions ,6.1 Pharmaceuticals ,Oral and gastrointestinal ,Good Health and Well Being ,Adult ,Biomarkers ,Biopsy ,Chenodeoxycholic Acid ,Female ,Humans ,Liver ,Liver Cirrhosis ,Logistic Models ,Male ,Middle Aged ,Non-alcoholic Fatty Liver Disease ,United States ,biomarkers ,fibrosis ,non-alcoholic steatohepatitis ,non-invasive ,Gastroenterology & Hepatology ,Clinical sciences - Abstract
Background & aimsNon-invasive biomarkers are needed for monitoring changes in liver histology in patients with non-alcoholic steatohepatitis (NASH). Obeticholic acid (OCA) was shown to improve fibrosis in patients with NASH in the FLINT trial; a post hoc analysis of these data was performed to determine the relationship between 3 non-invasive fibrosis markers and liver fibrosis improvement.MethodsIn the Phase 2b FLINT trial, patients were randomised (1:1) to receive 25 mg OCA or placebo once daily for 72 weeks. Aspartate aminotransferase:platelet ratio index (APRI), fibrosis-4 (FIB-4) index and non-alcoholic fatty liver disease fibrosis score (NFS) were evaluated in serum at baseline and weeks 24, 48, 72 and 96. Liver biopsies were obtained at baseline and 72 weeks.ResultsIn patients with fibrosis improvement at week 24, scores were reduced by a median of 34% for APRI, 10% for FIB-4 and 4% for NFS. Reductions in APRI (P = 0.015) and FIB-4 (P = 0.036), but not NFS (P = 0.201) at week 24, significantly correlated with ≥1-stage improvement in histologic fibrosis at week 72. Reductions in APRI at week 72 were significantly correlated with fibrosis improvement at week 72 (P = 0.012). Patients receiving OCA had significant reductions in all markers compared with patients receiving placebo at week 72 [APRI and FIB-4 (P
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- 2019
34. Automated CT and MRI Liver Segmentation and Biometry Using a Generalized Convolutional Neural Network.
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Wang, Kang, Mamidipalli, Adrija, Retson, Tara, Bahrami, Naeim, Hasenstab, Kyle, Blansit, Kevin, Bass, Emily, Delgado, Timoteo, Cunha, Guilherme, Middleton, Michael S, Loomba, Rohit, Neuschwander-Tetri, Brent A, Sirlin, Claude B, Hsiao, Albert, and members of the NASH Clinical Research Network
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members of the NASH Clinical Research Network ,Liver Disease ,Clinical Research ,Digestive Diseases ,Bioengineering ,Biomedical Imaging - Abstract
PurposeTo assess feasibility of training a convolutional neural network (CNN) to automate liver segmentation across different imaging modalities and techniques used in clinical practice and apply this to enable automation of liver biometry.MethodsWe trained a 2D U-Net CNN for liver segmentation in two stages using 330 abdominal MRI and CT exams acquired at our institution. First, we trained the neural network with non-contrast multi-echo spoiled-gradient-echo (SGPR)images with 300 MRI exams to provide multiple signal-weightings. Then, we used transfer learning to generalize the CNN with additional images from 30 contrast-enhanced MRI and CT exams.We assessed the performance of the CNN using a distinct multi-institutional data set curated from multiple sources (n = 498 subjects). Segmentation accuracy was evaluated by computing Dice scores. Utilizing these segmentations, we computed liver volume from CT and T1-weighted (T1w) MRI exams, and estimated hepatic proton- density-fat-fraction (PDFF) from multi-echo T2*w MRI exams. We compared quantitative volumetry and PDFF estimates between automated and manual segmentation using Pearson correlation and Bland-Altman statistics.ResultsDice scores were 0.94 ± 0.06 for CT (n = 230), 0.95 ± 0.03 (n = 100) for T1w MR, and 0.92 ± 0.05 for T2*w MR (n = 169). Liver volume measured by manual and automated segmentation agreed closely for CT (95% limit-of-agreement (LoA) = [-298 mL, 180 mL]) and T1w MR (LoA = [-358 mL, 180 mL]). Hepatic PDFF measured by the two segmentations also agreed closely (LoA = [-0.62%, 0.80%]).ConclusionsUtilizing a transfer-learning strategy, we have demonstrated the feasibility of a CNN to be generalized to perform liver segmentations across different imaging techniques and modalities. With further refinement and validation, CNNs may have broad applicability for multimodal liver volumetry and hepatic tissue characterization.
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- 2019
35. Factors Associated With Histologic Response in Adult Patients With Nonalcoholic Steatohepatitis
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Loomba, Rohit, Sanyal, Arun J, Kowdley, Kris V, Terrault, Norah, Chalasani, Naga P, Abdelmalek, Manal F, McCullough, Arthur J, Shringarpure, Reshma, Ferguson, Beatrice, Lee, Lois, Chen, Jianfen, Liberman, Alexander, Shapiro, David, and Neuschwander-Tetri, Brent A
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Biomedical and Clinical Sciences ,Clinical Sciences ,Clinical Research ,Liver Disease ,Clinical Trials and Supportive Activities ,Chronic Liver Disease and Cirrhosis ,Hepatitis ,Digestive Diseases ,Evaluation of treatments and therapeutic interventions ,6.1 Pharmaceuticals ,Oral and gastrointestinal ,Adult ,Biomarkers ,Biopsy ,Chenodeoxycholic Acid ,Clinical Enzyme Tests ,Decision Support Techniques ,Female ,Gastrointestinal Agents ,Humans ,Ligands ,Liver ,Liver Cirrhosis ,Male ,Middle Aged ,Non-alcoholic Fatty Liver Disease ,Predictive Value of Tests ,Receptors ,Cytoplasmic and Nuclear ,Time Factors ,Treatment Outcome ,United States ,FLINT Trial ,OCA ,FXR Agonist ,NAFLD ,Neurosciences ,Paediatrics and Reproductive Medicine ,Gastroenterology & Hepatology ,Clinical sciences ,Nutrition and dietetics - Abstract
Background & aimsNonalcoholic steatohepatitis (NASH) is a leading cause of liver transplantation, and many trials are underway to evaluate potential therapies. The farnesoid X receptor ligand obeticholic acid in the NASH treatment trial evaluated the effects of obeticholic acid vs placebo on histologic response (defined as decrease in nonalcoholic fatty liver disease activity score [NAS] by ≥2, with no worsening of fibrosis); 45% of patients had a histologic response to obeticholic acid (25 mg), and 21% had a response to placebo (P < .01). We performed a secondary analysis of data from this trial to identify clinical parameters associated with a histologic response.MethodsWe used a logistic regression model with a stepwise selection procedure to identify baseline and early on-treatment factors associated with a histologic response at 72 weeks. Baseline demographics, liver histology, medical history, concomitant medications, cardiometabolic parameters, and serum biochemistry, as well as the changes over the course of the trial (at weeks 12 and 24), were evaluated as potential predictors of a histologic response. The model was cross-validated by a jackknife method, and performance was evaluated with the area under the receiver operating characteristic curve.ResultsThe logistic regression model found that obeticholic acid treatment, baseline NAS > 5, baseline triglyceride level ≤ 154 mg/dL, baseline international normalized ratio ≤ 1, baseline aspartate aminotransferase level ≤ 49 U/L, and a decrease in alanine aminotransferase level at week 24 by 17 U/L or more, to be significantly associated with histologic response (area under the receiver operating characteristic curve, 0.83; 95% confidence interval, 0.77-0.89; P < .0001).ConclusionsIn a secondary analysis of data from a clinical trial of obeticholic acid in patients with NASH, we identified routine clinical and laboratory parameters during the first 24 weeks of treatment (such as baseline NAS, triglyceride levels, and a decrease in alanine aminotransferase level) to significantly associate with histologic markers of response.
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- 2019
36. Vibration-Controlled Transient Elastography to Assess Fibrosis and Steatosis in Patients With Nonalcoholic Fatty Liver Disease
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Siddiqui, Mohammad S, Vuppalanchi, Raj, Van Natta, Mark L, Hallinan, Erin, Kowdley, Kris V, Abdelmalek, Manal, Neuschwander-Tetri, Brent A, Loomba, Rohit, Dasarathy, Srinivasan, Brandman, Danielle, Doo, Edward, Tonascia, James A, Kleiner, David E, Chalasani, Naga, Sanyal, Arun J, and Network, NASH Clinical Research
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Biomedical and Clinical Sciences ,Clinical Sciences ,Chronic Liver Disease and Cirrhosis ,Digestive Diseases ,Clinical Research ,Liver Disease ,4.2 Evaluation of markers and technologies ,Detection ,screening and diagnosis ,Oral and gastrointestinal ,Good Health and Well Being ,Adolescent ,Adult ,Aged ,Aged ,80 and over ,Elasticity Imaging Techniques ,Fatty Liver ,Female ,Humans ,Liver Cirrhosis ,Male ,Middle Aged ,Non-alcoholic Fatty Liver Disease ,Prospective Studies ,ROC Curve ,Severity of Illness Index ,Young Adult ,NAFLD ,Fibroscan ,VCTE ,Vibration Controlled Transient Elastography ,Controlled Attenuation Parameter ,Fibrosis ,Steatosis ,NASH Clinical Research Network ,Gastroenterology & Hepatology ,Clinical sciences - Abstract
Background & aimsVibration-controlled transient elastography (VCTE), which measures liver stiffness, has become an important tool for evaluating patients with nonalcoholic fatty liver disease (NAFLD). We aimed to determine the diagnostic accuracy of VCTE in detection of NAFLD in a multicenter cohort of patients.MethodsWe performed a prospective study of 393 adults with NAFLD who underwent VCTE within 1 year of liver histology analysis (median time, 49 d; interquartile range, 25-78 d), from July 1, 2014, through July 31, 2017. Liver stiffness measurement (LSM) cut-off values for pairwise fibrosis stage and controlled attenuation parameter cut-off values for pairwise steatosis grade were determined using cross-validated area under the receiver operating characteristics curve (AUROC) analyses. Diagnostic statistics were computed at a sensitivity fixed at 90% and a specificity fixed at 90%.ResultsLSM identified patients with advanced fibrosis with an AUROC of 0.83 (95% CI, 0.79- 0.87) and patients with cirrhosis with an AUROC of 0.93 (95% CI, 0.90-0.97). At a fixed sensitivity, a cut-off LSM of 6.5 kPa excluded advanced fibrosis with a negative predictive value of 0.91, and a cut-off LSM of 12.1 kPa excluded cirrhosis with a negative predictive value of 0.99. At a fixed specificity, LSM identified patients with advanced fibrosis with a positive predictive value of 0.71 and patients with cirrhosis with a positive predictive value of 0.41. Controlled attenuation parameter analysis detected steatosis with an AUROC of 0.76 (95% CI, 0.64-0.87). In contrast, the VCTE was less accurate in distinguishing lower fibrosis stages, higher steatosis grades, or the presence of NASH.ConclusionsIn a prospective study of adults with NAFLD, we found VCTE to accurately distinguish advanced vs earlier stages of fibrosis, using liver histology as the reference standard.
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- 2019
37. Environmental toxicants modulate disease severity in pediatric metabolic dysfunction‐associated steatohepatitis.
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Jain, Ajay K., Busgang, Stefanie A., Gennings, Chris, Yates, Katherine P., Schwimmer, Jeffrey B., Rosenthal, Philip, Murray, Karen F., Molleston, Jean P., Scheimann, Ann, Xanthakos, Stavra A., Behling, Cynthia A., Carpenter, Danielle, Fishbein, Mark, Neuschwander‐Tetri, Brent A., Tonasia, James, and Vos, Miriam B.
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- 2024
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38. Changes in abdominal adipose tissue depots accessed by MRI correlate with hepatic histologic improvement in non-alcoholic steatohepatitis
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Shen, Wei, Middleton, Michael S., Cunha, Guilherme M., Delgado, Timoteo I., Wolfson, Tanya, Gamst, Anthony, Fowler, Kathryn J., Alazraki, Adina, Trout, Andrew T., Ohliger, Michael A., Shah, Shetal N., Bashir, Mustafa R., Kleiner, David E., Loomba, Rohit, Neuschwander-Tetri, Brent A., Sanyal, Arun J., Zhou, Jane, Sirlin, Claude B., and Lavine, Joel E.
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- 2022
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39. Diagnostic modalities for nonalcoholic fatty liver disease, nonalcoholic steatohepatitis, and associated fibrosis
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Younossi, Zobair M, Loomba, Rohit, Anstee, Quentin M, Rinella, Mary E, Bugianesi, Elisabetta, Marchesini, Giulio, Neuschwander‐Tetri, Brent A, Serfaty, Lawrence, Negro, Francesco, Caldwell, Stephen H, Ratziu, Vlad, Corey, Kathleen E, Friedman, Scott L, Abdelmalek, Manal F, Harrison, Stephen A, Sanyal, Arun J, Lavine, Joel E, Mathurin, Philippe, Charlton, Michael R, Goodman, Zachary D, Chalasani, Naga P, Kowdley, Kris V, George, Jacob, and Lindor, Keith
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Biomedical and Clinical Sciences ,Clinical Sciences ,Liver Disease ,Chronic Liver Disease and Cirrhosis ,Digestive Diseases ,Clinical Research ,Hepatitis ,Oral and gastrointestinal ,Good Health and Well Being ,Biomarkers ,Collagen ,Humans ,Liver ,Liver Cirrhosis ,Non-alcoholic Fatty Liver Disease ,Medical Biochemistry and Metabolomics ,Immunology ,Gastroenterology & Hepatology ,Clinical sciences - Abstract
Nonalcoholic fatty liver disease (NAFLD) is a spectrum comprised of isolated steatosis, nonalcoholic steatohepatitis (NASH), advanced fibrosis, and cirrhosis. The majority of NAFLD subjects do not have NASH and do not carry a significant risk for liver-related adverse outcomes (cirrhosis and mortality). Globally, the prevalence of NAFLD is approximately 25%. In Asia, a gradient of high to low prevalence rates is noted from urban to rural areas. Given the prevalence of NAFLD, the clinical and economic burden of NAFLD and NASH can be substantial. With increasing recognition of NASH as an important liver disease, the diagnosis of NASH still requires a liver biopsy that is suboptimal. Although liver biopsy is the most accurate modality to diagnose and stage the severity of NASH, this method suffers from being invasive, costly, associated with potential complications, and plagued with interobserver variability of individual pathological features. A number of noninvasive modalities to diagnose NASH and stage liver fibrosis are being developed. These modalities include predictive models (NAFLD fibrosis score) and serum biomarkers such as enhanced liver fibrosis (ELF). Other tests are based on radiological techniques, such as transient elastography (TE) or magnetic resonance elastography (MRE), which are used to estimate liver stiffness as a potential surrogate of hepatic fibrosis. Although a dynamic field of research, most of these diagnostic modalities have area under the curve ranging between 0.76 and 0.90%, with MRE having the best predictive performance. In summary, developing safe and easily accessible noninvasive modalities to accurately diagnose and monitor NASH and associated fibrosis is of utmost importance in clinical practice and clinical research. These tests are not only important to risk stratify subjects at the greatest risk for progressive liver disease, but also to serve as appropriate surrogate endpoints for therapeutic clinical trials of NASH. (Hepatology 2018;68:349-360).
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- 2018
40. Current and future therapeutic regimens for nonalcoholic fatty liver disease and nonalcoholic steatohepatitis
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Younossi, Zobair M, Loomba, Rohit, Rinella, Mary E, Bugianesi, Elisabetta, Marchesini, Giulio, Neuschwander‐Tetri, Brent A, Serfaty, Lawrence, Negro, Francesco, Caldwell, Stephen H, Ratziu, Vlad, Corey, Kathleen E, Friedman, Scott L, Abdelmalek, Manal F, Harrison, Stephen A, Sanyal, Arun J, Lavine, Joel E, Mathurin, Philippe, Charlton, Michael R, Chalasani, Naga P, Anstee, Quentin M, Kowdley, Kris V, George, Jacob, Goodman, Zachary D, and Lindor, Keith
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Hepatitis ,Liver Disease ,Chronic Liver Disease and Cirrhosis ,Prevention ,Clinical Trials and Supportive Activities ,Clinical Research ,Digestive Diseases ,Rare Diseases ,Oral and gastrointestinal ,Good Health and Well Being ,Clinical Trials as Topic ,Exercise ,Humans ,Liver Transplantation ,Non-alcoholic Fatty Liver Disease ,Obesity ,Weight Loss ,Medical Biochemistry and Metabolomics ,Clinical Sciences ,Immunology ,Gastroenterology & Hepatology - Abstract
Nonalcoholic fatty liver disease (NAFLD) and its progressive form non-alcoholic steatohepatitis (NASH), are rapidly becoming among the top causes of cirrhosis, hepatocellular carcinoma, and indications for liver transplantation. Other than lifestyle modification through diet and exercise, there are currently no other approved treatments for NASH/NAFLD. Although weight loss can be effective, it is difficult to achieve and sustain. In contrast, bariatric surgery can improve metabolic conditions associated with NAFLD, and has been shown to improve liver histology. To have approved regimens for the treatment of NASH/NAFLD, several issues must be addressed. First, all stakeholders must agree on the most appropriate clinical trial endpoints for NASH. Currently, resolution of NASH (without worsening fibrosis) or reduction of fibrosis stage (without worsening NASH) are the accepted endpoints by the regulatory authorities. It is important to recognize the prognostic implication of histologic features of NASH. In this context, although histologic NASH has been associated with advanced fibrosis, it is not an independent predictor of long-term mortality. In contrast, there are significant data to suggest that fibrosis stage is the only robust and independent predictor of liver-related mortality. In addition to the primary endpoints, several important secondary endpoints, including noninvasive biomarkers, long-term outcomes, and patient-reported outcomes must be considered. In 2018, a few phase 3 clinical trials for the treatment of NASH have been initiated. Additionally, a number of phase 2a and 2b clinical trials targeting different pathogenic pathways in NASH are in the pipeline of emerging therapies.ConclusionOver the next 5 years, some of these regimens are expected to provide potential new treatment options for patients with NASH/NAFLD. (Hepatology 2018;68:361-371).
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- 2018
41. Performance characteristics of vibration‐controlled transient elastography for evaluation of nonalcoholic fatty liver disease
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Vuppalanchi, Raj, Siddiqui, Mohammad S, Van Natta, Mark L, Hallinan, Erin, Brandman, Danielle, Kowdley, Kris, Neuschwander‐Tetri, Brent A, Loomba, Rohit, Dasarathy, Srinivas, Abdelmalek, Manal, Doo, Edward, Tonascia, James A, Kleiner, David E, Sanyal, Arun J, Chalasani, Naga, and Network, for the NASH Clinical Research
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Biomedical and Clinical Sciences ,Clinical Sciences ,Liver Disease ,Digestive Diseases ,Chronic Liver Disease and Cirrhosis ,Good Health and Well Being ,Adult ,Aged ,Biopsy ,Needle ,Body Mass Index ,Databases ,Factual ,Elasticity Imaging Techniques ,Female ,Humans ,Immunohistochemistry ,Logistic Models ,Male ,Middle Aged ,Multivariate Analysis ,Non-alcoholic Fatty Liver Disease ,Obesity ,Observer Variation ,Retrospective Studies ,Risk Assessment ,Severity of Illness Index ,Task Performance and Analysis ,Vibration ,NASH Clinical Research Network ,Medical Biochemistry and Metabolomics ,Immunology ,Gastroenterology & Hepatology ,Clinical sciences - Abstract
Vibration-controlled transient elastography estimates liver stiffness measurement (LSM) and controlled attenuation parameter (CAP), which are noninvasive assessments of hepatic fibrosis and steatosis, respectively. However, prior vibration-controlled transient elastography studies reported high failure rates in patients with nonalcoholic fatty liver disease. We examined the performance characteristics of the FibroScan 502 Touch with two probes, medium (M+) and extra large (XL+), in patients with nonalcoholic fatty liver disease in a multicenter setting. A total of 1,696 exams were attempted in 992 patients (body mass index, 33.6 ± 6.5 kg/m2 ) with histologically confirmed nonalcoholic fatty liver disease. Simultaneous assessment of LSM and CAP was performed using the FibroScan 502 Touch with an automatic probe selection tool. Testing was conducted twice in patients by either a single operator (87%) or two operators (13%). Failure was defined as the inability to obtain a valid examination. An examination was considered unreliable if LSM interquartile range/median was >30%. Significant disagreement between two readings was defined as >95% limits of agreement between two readings. A total of 1,641 examinations yielded valid results with a failure rate of 3.2% (55/1,696). The proportion of unreliable scans for LSM was 3.9%. The proportion of unreliable scans with operator experience in the top quartile (≥59 procedures) was significantly lower than that in the lower three quarters combined (1.6% versus 4.7%, P = 0.02 by Fisher's exact test). The significant disagreement between first and second readings for LSM and CAP when obtained back to back was 18% and 11%, respectively.ConclusionVibration-controlled transient elastography for estimation of LSM and CAP can be successfully deployed in a multicenter setting with low failure (3.2%) and high reliability (>95%) rates and high reproducibility. (Hepatology 2018;67:134-144).
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- 2018
42. PNPLA3 rs738409, age, diabetes, sex, and advanced fibrosis jointly contribute to the risk of major adverse liver outcomes in metabolic-associated steatotic liver disease
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Chalasani, Naga, primary, Vilar-Gomez, Eduardo, additional, Loomba, Rohit, additional, Yates, Katherine P, additional, Diehl, Anna Mae, additional, Neuschwander-Tetri, Brent A., additional, Dasarathy, Srinivasan, additional, Kowdley, Kris V., additional, Terrault, Norah, additional, Wilson, Laura A., additional, Tonascia, James, additional, and Sanyal, Arun, additional
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- 2024
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43. Diagnostic Accuracy of Noninvasive Fibrosis Models to Detect Change in Fibrosis Stage
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Allende, Daniela, Dasarathy, Srinivasan, McCullough, Arthur J., Penumatsa, Revathi, Dasarathy, Jaividhya, Lavine, Joel E., Abdelmalek, Manal F., Bashir, Mustafa, Buie, Stephanie, Diehl, Anna Mae, Guy, Cynthia, Kigongo, Christopher, Kopping, Mariko, Malik, David, Piercy, Dawn, Chalasani, Naga, Cummings, Oscar W., Gawrieh, Samer, Ragozzino, Linda, Sandrasegaran, Kumar, Vuppalanchi, Raj, Brunt, Elizabeth M., Cattoor, Theresa, Carpenter, Danielle, Freebersyser, Janet, King, Debra, Lai, Jinping, Neuschwander-Tetri, Brent A., Siegner, Joan, Stewart, Susan, Torretta, Susan, Wriston, Kristina, Gonzalez, Maria Cardona, Davila, Jodie, Jhaveri, Manan, Kowdley, Kris V., Mukhtar, Nizar, Ness, Erik, Poitevin, Michelle, Quist, Brook, Soo, Sherilynn, Ang, Brandon, Behling, Cynthia, Bhatt, Archana, Loomba, Rohit, Middleton, Michael S., Sirlin, Claude, Akhter, Maheen F., Bass, Nathan M., Brandman, Danielle, Gill, Ryan, Hameed, Bilal, Maher, Jacqueline, Terrault, Norah, Ungermann, Ashley, Yeh, Matthew, Boyett, Sherry, Contos, Melissa J., Kirwin, Sherri, Luketic, Velimir A.C., Puri, Puneet, Sanyal, Arun J., Schlosser, Jolene, Siddiqui, Mohammad S., Yost-Schomer, Leslie, Fowler, Kathryn, Kleiner, David E., Doo, Edward C., Hall, Sherry, Hoofnagle, Jay H., Lee, Jessica J., Robuck, Patricia R., Sherker, Averell H., Torrance, Rebecca, Belt, Patricia, Clark, Jeanne M., Dodge, John, Donithan, Michele, Hallinan, Erin, Isaacson, Milana, Lazo, Mariana, Meinert, Jill, Miriel, Laura, Smith, Jacqueline, Smith, Michael, Sternberg, Alice, Tonascia, James, Van Natta, Mark L., Wagoner, Annette, Wilson, Laura A., Yamada, Goro, Yates, Katherine, Siddiqui, Mohammad Shadab, Van Natta, Mark, and Neuschwander-Tetri, Brent
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- 2019
- Full Text
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44. Agreement Between Magnetic Resonance Imaging Proton Density Fat Fraction Measurements and Pathologist-Assigned Steatosis Grades of Liver Biopsies From Adults With Nonalcoholic Steatohepatitis
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Middleton, Michael S, Heba, Elhamy R, Hooker, Catherine A, Bashir, Mustafa R, Fowler, Kathryn J, Sandrasegaran, Kumar, Brunt, Elizabeth M, Kleiner, David E, Doo, Edward, Van Natta, Mark L, Lavine, Joel E, Neuschwander-Tetri, Brent A, Sanyal, Arun, Loomba, Rohit, Sirlin, Claude B, and Network, NASH Clinical Research
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Biomedical and Clinical Sciences ,Clinical Sciences ,Liver Disease ,Digestive Diseases ,Clinical Trials and Supportive Activities ,Biomedical Imaging ,Hepatitis ,Clinical Research ,Chronic Liver Disease and Cirrhosis ,Adiposity ,Adult ,Area Under Curve ,Biopsy ,Chenodeoxycholic Acid ,Female ,Humans ,Liver ,Magnetic Resonance Imaging ,Male ,Middle Aged ,Non-alcoholic Fatty Liver Disease ,ROC Curve ,Single-Blind Method ,FLINT ,NAFLD ,Direct Comparison ,Non-Invasive ,NASH Clinical Research Network ,Neurosciences ,Paediatrics and Reproductive Medicine ,Gastroenterology & Hepatology ,Clinical sciences ,Nutrition and dietetics - Abstract
Background & aimsWe assessed the diagnostic performance of magnetic resonance imaging (MRI) proton density fat fraction (PDFF) in grading hepatic steatosis and change in hepatic steatosis in adults with nonalcoholic steatohepatitis (NASH) in a multi-center study, using central histology as reference.MethodsWe collected data from 113 adults with NASH participating in a multi-center, randomized, double-masked, placebo-controlled, phase 2b trial to compare the efficacy cross-sectionally and longitudinally of obeticholic acid vs placebo. Hepatic steatosis was assessed at baseline and after 72 weeks of obeticholic acid or placebo by liver biopsy and MRI (scanners from different manufacturers, at 1.5T or 3T). We compared steatosis estimates by PDFF vs histology. Histologic steatosis grade was scored in consensus by a pathology committee. Cross-validated receiver operating characteristic (ROC) analyses were performed.ResultsAt baseline, 34% of subjects had steatosis grade 0 or 1, 39% had steatosis grade 2, and 27% had steatosis grade 3; corresponding mean PDFF values were 9.8%±3.7%, 18.1%±4.3%, and 30.1%±8.1%. PDFF classified steatosis grade 0-1 vs 2-3 with an area under the ROC curve (AUROC) of 0.95 (95% CI, 0.91-0.98), and grade 0-2 vs grade 3 steatosis with an AUROC of 0.96 (95% CI, 0.93-0.99). PDFF cut-off values at 90% specificity were 16.3% for grades 2-3 and 21.7% for grade 3, with corresponding sensitivities of 83% and 84%. After 72 weeks' of obeticholic vs placebo, 42% of subjects had a reduced steatosis grade (mean reduction in PDFF from baseline of 7.4%±8.7%), 49% had no change in steatosis grade (mean increase in PDFF from baseline of 0.3%±6.3%), and 9% had an increased steatosis grade (mean increase in PDFF from baseline of 7.7%±6.0%). PDFF change identified subjects with reduced steatosis grade with an AUROC of 0.81 (95% CI, 0.71-0.91) and increased steatosis grade with an AUROC of 0.81 (95% CI, 0.63-0.99). A PDFF reduction of 5.15% identified subjects with reduced steatosis grade with 90% specificity and 58% sensitivity, whereas a PDFF increase of 5.6% identified those with increased steatosis grade with 90% specificity and 57% sensitivity.ConclusionsBased on data from a phase 2 randomized controlled trial of adults with NASH, PDFF estimated by MRI scanners of different field strength and at different sites, accurately classifies grades and changes in hepatic steatosis when histologic analysis of biopsies is used as a reference.
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- 2017
45. Low and High Birth Weights Are Risk Factors for Nonalcoholic Fatty Liver Disease in Children
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Newton, Kimberly P, Feldman, Haruna S, Chambers, Christina D, Wilson, Laura, Behling, Cynthia, Clark, Jeanne M, Molleston, Jean P, Chalasani, Naga, Sanyal, Arun J, Fishbein, Mark H, Lavine, Joel E, Schwimmer, Jeffrey B, Network, Nonalcoholic Steatohepatitis Clinical Research, Abrams, Stephanie H, Barlow, Sarah, Himes, Ryan, Krisnamurthy, Rajesh, Maldonado, Leanel, Mahabir, Rory, Carr, April, Bernstein, Kimberlee, Bramlage, Kristin, Cecil, Kim, DeVore, Stephanie, Kohli, Rohit, Lake, Kathleen, Podberesky, Daniel, Towbin, Alex, Xanthakos, Stavra, Allende, Daniela, Dasarathy, Srinivasan, McCullough, Arthur J, Pagadala, Mangesh, Pai, Rish, Winston, Cha'Ron, Behr, Gerald, Lefkowitch, Jay H, Mencin, Ali, Reynoso, Elena, Abdelmalek, Manal F, Bashir, Mustafa, Buie, Stephanie, Diehl, Anna Mae, Guy, Cynthia, Kigongo, Christopher, Malik, David, Pan, Yi-Ping, Piercy, Dawn, Kopping, Mariko, Thrasher, Tyler, Alazraki, Adina, Cleeton, Rebecca, Cordero, Maria, Hernandez, Albert, Karpen, Saul, Munos, Jessica Cruz, Raviele, Nicholas, Vos, Miriam, Bozic, Molly, Cummings, Oscar W, Gawrieh, Samer, Klipsch, Ann, Ragozzino, Emily, Ragozzino, Linda, Sandrasegaran, Kumar, Subbarao, Girish, Vuppalanchi, Raj, Walker, Laura, Kafka, Kimberly, Scheimann, Ann, Ito, Joy, Mohammad, Saeed, Rigsby, Cynthia, Sharda, Lisa, Whitington, Peter F, Cattoor, Theresa, Derdoy, Jose, Freebersyser, Janet, Jain, Ajay, King, Debra, Lai, Jinping, Osmack, Pat, Siegner, Joan, Stewart, Susan, Neuschwander-Tetri, Brent A, Torretta, Susan, Wriston, Kristina, Assadian, Fereshteh, Barone, Vanessa, Gonzalez, Maria Cardona, Davila, Jodie, Fix, Oren, Hennessey, Kelly Anne, Kowdley, Kris V, and Lopez, Kacie
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Reproductive Medicine ,Biomedical and Clinical Sciences ,Hepatitis ,Pediatric ,Liver Disease ,Perinatal Period - Conditions Originating in Perinatal Period ,Preterm ,Low Birth Weight and Health of the Newborn ,Clinical Research ,Prevention ,Digestive Diseases ,Chronic Liver Disease and Cirrhosis ,2.1 Biological and endogenous factors ,Oral and gastrointestinal ,Adolescent ,Biopsy ,Birth Weight ,Child ,Cross-Sectional Studies ,Databases ,Factual ,Female ,Humans ,Infant ,Low Birth Weight ,Infant ,Postmature ,Liver ,Male ,Non-alcoholic Fatty Liver Disease ,Risk Factors ,United States ,Nonalcoholic Steatohepatitis Clinical Research Network ,birth weight ,children ,epidemiology ,nonalcoholic fatty liver disease ,nonalcoholic steatohepatitis ,obesity ,Human Movement and Sports Sciences ,Paediatrics and Reproductive Medicine ,Pediatrics ,Paediatrics - Abstract
ObjectivesTo examine the distribution of birth weight in children with nonalcoholic fatty liver disease (NAFLD) compared with the general US population, and to investigate the relationship between birth weight and severity of NAFLD.Study designA multicenter, cross-sectional study of children with biopsy-proven NAFLD enrolled in the Nonalcoholic Steatohepatitis Clinical Research Network Database. Birth weight was categorized as low birth weight (LBW), normal birth weight (NBW), or high birth weight (HBW) and compared with the birth weight distribution in the general US population. The severity of liver histology was assessed by birth weight category.ResultsChildren with NAFLD (n = 538) had overrepresentation of both LBW and HBW compared with the general US population (LBW, 9.3%; NBW, 75.8%; HBW, 14.9% vs LBW, 6.1%; NBW, 83.5%; HBW 10.5%; P
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- 2017
46. Patient Sex, Reproductive Status, and Synthetic Hormone Use Associate With Histologic Severity of Nonalcoholic Steatohepatitis
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Yang, Ju Dong, Abdelmalek, Manal F, Guy, Cynthia D, Gill, Ryan M, Lavine, Joel E, Yates, Katherine, Klair, Jagpal, Terrault, Norah A, Clark, Jeanne M, Unalp-Arida, Aynur, Diehl, Anna Mae, Suzuki, Ayako, Dasarathy, Srinivasan, Dasarathy, Jaividhya, Hawkins, Carol, McCullough, Arthur J, Pagadala, Mangesh, Pai, Rish, Sargent, Ruth, Bashir, Mustafa, Buie, Stephanie, Guy, Cynthia, Kigongo, Christopher, Pan, Yi-Ping, Piercy, Dawn, Chalasani, Naga, Cummings, Oscar W, Gawrieh, Samer, Ghabril, Marwan, Marri, Smitha, Ragozzino, Linda, Sandrasegaran, Kumar, Vuppalanchi, Raj, King, Debra, Osmack, Pat, Siegner, Joan, Stewart, Susan, Neuschwander-Tetri, Brent A, Torretta, Susan, Ang, Brandon, Behling, Cynthia, Bhatt, Archana, Loomba, Rohit, Middleton, Michael, Patton, Heather, Sirlin, Claude, Aouizerat, Bradley, Bass, Nathan M, Brandman, Danielle, Ferrell, Linda D, Gill, Ryan, Hameed, Bilal, Ramos, Claudia, Terrault, Norah, Ungermann, Ashley, Atla, Pradeep, Croft, Brandon, Garcia, Rebekah, Garcia, Sonia, Sheikh, Muhammad, Singh, Mandeep, Boyett, Sherry, Carucci, Laura, Contos, Melissa J, Kraft, Kenneth, Luketic, Velimir AC, Puri, Puneet, Sanyal, Arun J, Schlosser, Jolene, Siddiqui, Mohhamad S, Wolford, Ben, Ackermann, Sarah, Cooney, Shannon, Coy, David, Gelinas, Katie, Kowdley, Kris V, Lee, Maximillian, Pierce, Tracey, Mooney, Jody, Nelson, James E, Shaw, Cheryl, Siddique, Asma, Wang, Chia, Brunt, Elizabeth M, Fowler, Kathryn, Kleiner, David E, Grave, Gilman D, Doo, Edward C, Hoofnagle, Jay H, Robuck, Patricia R, Sherker, Averell, Belt, Patricia, Donithan, Michele, Hallinan, Erin, and Isaacson, Milana
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Reproductive Medicine ,Biomedical and Clinical Sciences ,Clinical Sciences ,Digestive Diseases ,Liver Disease ,Contraception/Reproduction ,Prevention ,Hepatitis ,Estrogen ,Chronic Liver Disease and Cirrhosis ,Aging ,Good Health and Well Being ,Adolescent ,Adult ,Aged ,Cross-Sectional Studies ,Female ,Histocytochemistry ,Hormones ,Humans ,Male ,Menopause ,Middle Aged ,Non-alcoholic Fatty Liver Disease ,Reproduction ,Risk Factors ,Sex Factors ,United States ,Young Adult ,Gender Differences ,Fibrosis ,Risk Factor Analysis. ,Nonalcoholic Steatohepatitis Clinical Research Network ,Risk Factor Analysis ,Gastroenterology & Hepatology ,Clinical sciences - Abstract
Background & aimsSex and sex hormones can affect responses of patients with nonalcoholic fatty liver disease (NAFLD) to metabolic stress and development of hepatocyte injury and inflammation.MethodsWe collected data from 3 large U.S. studies of patients with NAFLD (between October 2004 and June 2013) to assess the association between histologic severity and sex, menopause status, synthetic hormone use, and menstrual abnormalities in 1112 patients with a histologic diagnosis of NAFLD. We performed logistic or ordinal logistic regression models, adjusting for covariates relevant to an increase of hepatic metabolic stress.ResultsPremenopausal women were at an increased risk of lobular inflammation, hepatocyte ballooning, and Mallory-Denk bodies than men and also at an increased risk of lobular inflammation and Mallory-Denk bodies than postmenopausal women (P < .01). Use of oral contraceptives was associated with an increased risk of lobular inflammation and Mallory-Denk bodies in premenopausal women, whereas hormone replacement therapy was associated with an increased risk of lobular inflammation in postmenopausal women (P < .05).ConclusionsBeing a premenopausal woman or a female user of synthetic hormones is associated with increased histologic severity of hepatocyte injury and inflammation among patients with NAFLD at given levels of hepatic metabolic stress.
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- 2017
47. In Children With Nonalcoholic Fatty Liver Disease, Cysteamine Bitartrate Delayed Release Improves Liver Enzymes but Does Not Reduce Disease Activity Scores
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Schwimmer, Jeffrey B, Lavine, Joel E, Wilson, Laura A, Neuschwander-Tetri, Brent A, Xanthakos, Stavra A, Kohli, Rohit, Barlow, Sarah E, Vos, Miriam B, Karpen, Saul J, Molleston, Jean P, Whitington, Peter F, Rosenthal, Philip, Jain, Ajay K, Murray, Karen F, Brunt, Elizabeth M, Kleiner, David E, Van Natta, Mark L, Clark, Jeanne M, Tonascia, James, Doo, Edward, Abrams, Stephanie H, Barlow, Sarah, Himes, Ryan, Krisnamurthy, Rajesh, Maldonado, Leanel, Mahabir, Rory, Bernstein, Kimberlee, Bramlage, Kristin, Cecil, Kim, DeVore, Stephanie, Lake, Kathleen, Podberesky, Daniel, Towbin, Alex, Xanthakos, Stavra, Behr, Gerald, Lefkowitch, Jay H, Mencin, Ali, Reynoso, Elena, Alazraki, Adina, Cleeton, Rebecca, Karpen, Saul, Munos, Jessica Cruz, Raviele, Nicholas, Vos, Miriam, Bozic, Molly, Cummings, Oscar W, Klipsch, Ann, Munson, Sarah, Sandrasegaran, Kumar, Subbarao, Girish, Kafka, Kimberly, Scheimann, Ann, Amsden, Katie, Fishbein, Mark H, Kirwan, Elizabeth, Mohammad, Saeed, Rigsby, Cynthia, Sharda, Lisa, Derdoy, Jose, Jain, Ajay, King, Debra, Osmack, Pat, Siegner, Joan, Stewart, Susan, Torretta, Susan, Wriston, Kristina, Baker, Susan S, Zhu, Lixin, Africa, Jonathon, Angeles, Jorge, Arroyo, Sandra, Awai, Hannah, Behling, Cynthia, Bross, Craig, Durelle, Janis, Middleton, Michael, Newton, Kimberly, Paiz, Melissa, Sanford, Jennifer, Sirlin, Claude, Ugalde-Nicalo, Patricia, Villarreal, Mariana Dominguez, Aouizerat, Bradley, Courtier, Jesse, Ferrell, Linda D, Fleck, Shannon, Gill, Ryan, Langlois, Camille, Perito, Emily Rothbaum, Tsai, Patrika, Cooper, Kara, Horslen, Simon, and Hsu, Evelyn
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Biomedical and Clinical Sciences ,Clinical Sciences ,Clinical Trials and Supportive Activities ,Chronic Liver Disease and Cirrhosis ,Clinical Research ,Hepatitis ,Liver Disease ,Digestive Diseases ,6.1 Pharmaceuticals ,Evaluation of treatments and therapeutic interventions ,Oral and gastrointestinal ,Adolescent ,Alanine Transaminase ,Aspartate Aminotransferases ,Biopsy ,Body Weight ,Child ,Cysteamine ,Cystine Depleting Agents ,Delayed-Action Preparations ,Double-Blind Method ,Female ,Humans ,Intention to Treat Analysis ,Liver ,Liver Cirrhosis ,Male ,Non-alcoholic Fatty Liver Disease ,Severity of Illness Index ,Pediatrics ,ALT ,AST ,Obesity ,NASH CRN ,Neurosciences ,Paediatrics and Reproductive Medicine ,Gastroenterology & Hepatology ,Clinical sciences ,Nutrition and dietetics - Abstract
Background & aimsNo treatment for nonalcoholic fatty liver disease (NAFLD) has been approved by regulatory agencies. We performed a randomized controlled trial to determine whether 52 weeks of cysteamine bitartrate delayed release (CBDR) reduces the severity of liver disease in children with NAFLD.MethodsWe performed a double-masked trial of 169 children with NAFLD activity scores of 4 or higher at 10 centers. From June 2012 to January 2014, the patients were assigned randomly to receive CBDR or placebo twice daily (300 mg for patients weighing ≤65 kg, 375 mg for patients weighing >65 to 80 kg, and 450 mg for patients weighing >80 kg) for 52 weeks. The primary outcome from the intention-to-treat analysis was improvement in liver histology over 52 weeks, defined as a decrease in the NAFLD activity score of 2 points or more without worsening fibrosis; patients without biopsy specimens from week 52 (17 in the CBDR group and 6 in the placebo group) were considered nonresponders. We calculated the relative risks (RR) of improvement using a stratified Cochran-Mantel-Haenszel analysis.ResultsThere was no significant difference between groups in the primary outcome (28% of children in the CBDR group vs 22% in the placebo group; RR, 1.3; 95% confidence interval [CI], 0.8-2.1; P = .34). However, children receiving CBDR had significant changes in prespecified secondary outcomes: reduced mean levels of alanine aminotransferase (reduction, 53 ± 88 U/L vs 8 ± 77 U/L in the placebo group; P = .02) and aspartate aminotransferase (reduction, 31 ± 52 vs 4 ± 36 U/L in the placebo group; P = .008), and a larger proportion had reduced lobular inflammation (36% in the CBDR group vs 21% in the placebo group; RR, 1.8; 95% CI, 1.1-2.9; P = .03). In a post hoc analysis of children weighing 65 kg or less, those taking CBDR had a 4-fold better chance of histologic improvement (observed in 50% of children in the CBDR group vs 13% in the placebo group; RR, 4.0; 95% CI, 1.3-12.3; P = .005).ConclusionsIn a randomized trial, we found that 1 year of CBDR did not reduce overall histologic markers of NAFLD compared with placebo in children. Children receiving CBDR, however, had significant reductions in serum aminotransferase levels and lobular inflammation. ClinicalTrials.gov no: NCT01529268.
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- 2016
48. High Concordance Between Nonalcoholic Fatty Liver Disease and Metabolic Dysfunction-Associated Steatotic Liver Disease in the TARGET-NASH Real-World Cohort.
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Barritt IV, A. Sidney, Feng Yu, Mospan, Andrea R., Newsome, Phillip N., Roden, Michael, Morris, Heather L., Loomba, Rohit, and Neuschwander-Tetri, Brent A.
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- 2024
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49. A Rare Cause of Upper Gastrointestinal Bleeding: Sarcina ventriculi
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Worrall, Emily B., Chhaparia, Anuj, Carpenter, Danielle, and Neuschwander-Tetri, Brent A.
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- 2022
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50. Age, BMI, and Type 2 Diabetes Modify the Relationship Between PNPLA3 and Advanced Fibrosis in Children and Adults With NAFLD
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Jarasvaraparn, Chaowapong, primary, Vilar-Gomez, Eduardo, additional, Yates, Katherine P., additional, Wilson, Laura A., additional, Neuschwander-Tetri, Brent, additional, Loomba, Rohit, additional, Cummings, Oscar, additional, Vos, Miriam, additional, Xanthakos, Stavra, additional, Schwimmer, Jeffrey, additional, Molleston, Jean P., additional, Sanyal, Arun, additional, Tonascia, James, additional, and Chalasani, Naga, additional
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- 2023
- Full Text
- View/download PDF
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