Literature DB >> 33584535

Correlations Between MRI Biomarkers PDFF and cT1 With Histopathological Features of Non-Alcoholic Steatohepatitis.

Andrea Dennis1, Matt D Kelly1, Carolina Fernandes1, Sofia Mouchti1, Jonathan A Fallowfield2, Gideon Hirschfield3, Michael Pavlides4,5,6, Stephen Harrison4,7, Manu V Chakravarthy8, Rajarshi Banerjee1, Arun Sanyal9.   

Abstract

Introduction: Late stage clinical trials in non-alcoholic steatohepatitis (NASH) are currently required by the FDA to use liver biopsy as a primary endpoint. The well-reported limitations with biopsy, such as associated risks and sampling error, coupled with patient preference, are driving investigation into non-invasive alternatives. MRI-derived biomarkers proton density fat fraction (PDFF) and iron-corrected T1 mapping (cT1) are gaining traction as emerging alternatives to biopsy for NASH. Our aim was to explore the correlations between cT1 and PDFF (from LiverMultiScan®), with the histological components on the NAFLD-NASH spectrum in a large cohort of cross-sectional data, in order to calibrate the measurement to histology, and to infer what might constitute a clinically meaningful change when related to the FDA's criteria. Materials and
Methods: In a retrospective analysis of data combined from three previously published observational NASH studies, in which adult participants who underwent liver biopsy on suspicion of NAFLD or NASH and had an MRI scan measuring cT1 and PDFF (LiverMultiScan®, Perspectum Ltd, UK), associations between imaging biomarkers and histology were tested using Spearman's rank correlation coefficient (rs), and further exploration of the relationships between the imaging variables and histology were performed using linear regression.
Results: N = 264 patients with mean age of 54 (SD:9.9), 39% female, and 69% with BMI ≥ 30kg.m-2 were included in the analysis. cT1 and PDFF both correlated with all features of the NAFLD activity score (NAS). cT1 was also positively correlated with Kleiner-Brunt fibrosis. Partial correlations, adjusting for steatosis, revealed cT1 correlated with inflammation and fibrosis, whereas PDFF did not, and both were still associated with the NAS, but correlation was weaker with PDFF than cT1. An estimated difference of 88 ms in cT1, or 21% relative difference in PDFF was related to a two-point difference in overall NAS.
Conclusion: The correlations between cT1 and PDFF with the histopathological hallmarks of NASH demonstrate the potential utility of both cT1 and PDFF as non-invasive biomarkers to detect a pharmacodynamic change in NASH, with cT1 showing superiority for detecting changes in inflammation and fibrosis, rather than liver fat alone.
Copyright © 2021 Dennis, Kelly, Fernandes, Mouchti, Fallowfield, Hirschfield, Pavlides, Harrison, Chakravarthy, Banerjee and Sanyal.

Entities:  

Keywords:  MRI; NAFLD; NASH; imaging; non-invasive biomarkers

Year:  2021        PMID: 33584535      PMCID: PMC7877451          DOI: 10.3389/fendo.2020.575843

Source DB:  PubMed          Journal:  Front Endocrinol (Lausanne)        ISSN: 1664-2392            Impact factor:   5.555


  43 in total

1.  Association of noninvasive quantitative decline in liver fat content on MRI with histologic response in nonalcoholic steatohepatitis.

Authors:  Janki Patel; Ricki Bettencourt; Jeffrey Cui; Joanie Salotti; Jonathan Hooker; Archana Bhatt; Carolyn Hernandez; Phirum Nguyen; Hamed Aryafar; Mark Valasek; William Haufe; Catherine Hooker; Lisa Richards; Claude B Sirlin; Rohit Loomba
Journal:  Therap Adv Gastroenterol       Date:  2016-07-05       Impact factor: 4.409

2.  Hepatic R2* is more strongly associated with proton density fat fraction than histologic liver iron scores in patients with nonalcoholic fatty liver disease.

Authors:  Mustafa R Bashir; Tanya Wolfson; Anthony C Gamst; Kathryn J Fowler; Michael Ohliger; Shetal N Shah; Adina Alazraki; Andrew T Trout; Cynthia Behling; Daniela S Allende; Rohit Loomba; Arun Sanyal; Jeffrey Schwimmer; Joel E Lavine; Wei Shen; James Tonascia; Mark L Van Natta; Adrija Mamidipalli; Jonathan Hooker; Kris V Kowdley; Michael S Middleton; Claude B Sirlin
Journal:  J Magn Reson Imaging       Date:  2018-10-14       Impact factor: 4.813

3.  Resmetirom (MGL-3196) for the treatment of non-alcoholic steatohepatitis: a multicentre, randomised, double-blind, placebo-controlled, phase 2 trial.

Authors:  Stephen A Harrison; Mustafa R Bashir; Cynthia D Guy; Rong Zhou; Cynthia A Moylan; Juan P Frias; Naim Alkhouri; Meena B Bansal; Seth Baum; Brent A Neuschwander-Tetri; Rebecca Taub; Sam E Moussa
Journal:  Lancet       Date:  2019-11-11       Impact factor: 79.321

4.  Sampling variability of liver biopsy in nonalcoholic fatty liver disease.

Authors:  Vlad Ratziu; Frédéric Charlotte; Agnès Heurtier; Sophie Gombert; Philippe Giral; Eric Bruckert; André Grimaldi; Frédérique Capron; Thierry Poynard
Journal:  Gastroenterology       Date:  2005-06       Impact factor: 22.682

5.  A model for hepatic fibrosis: the competing effects of cell loss and iron on shortened modified Look-Locker inversion recovery T1 (shMOLLI-T1 ) in the liver.

Authors:  Elizabeth M Tunnicliffe; Rajarshi Banerjee; Michael Pavlides; Stefan Neubauer; Matthew D Robson
Journal:  J Magn Reson Imaging       Date:  2016-07-23       Impact factor: 4.813

Review 6.  Global epidemiology of nonalcoholic fatty liver disease-Meta-analytic assessment of prevalence, incidence, and outcomes.

Authors:  Zobair M Younossi; Aaron B Koenig; Dinan Abdelatif; Yousef Fazel; Linda Henry; Mark Wymer
Journal:  Hepatology       Date:  2016-02-22       Impact factor: 17.425

7.  Utility and variability of three non-invasive liver fibrosis imaging modalities to evaluate efficacy of GR-MD-02 in subjects with NASH and bridging fibrosis during a phase-2 randomized clinical trial.

Authors:  Stephen A Harrison; Andrea Dennis; Martine M Fiore; Matt D Kelly; Catherine J Kelly; Angelo H Paredes; Jennifer M Whitehead; Stefan Neubauer; Peter G Traber; Rajarshi Banerjee
Journal:  PLoS One       Date:  2018-09-07       Impact factor: 3.240

8.  Multiparametric magnetic resonance for the non-invasive diagnosis of liver disease.

Authors:  Rajarshi Banerjee; Michael Pavlides; Elizabeth M Tunnicliffe; Stefan K Piechnik; Nikita Sarania; Rachel Philips; Jane D Collier; Jonathan C Booth; Jurgen E Schneider; Lai Mun Wang; David W Delaney; Ken A Fleming; Matthew D Robson; Eleanor Barnes; Stefan Neubauer
Journal:  J Hepatol       Date:  2013-09-12       Impact factor: 25.083

9.  Multiparametric magnetic resonance imaging for quantitation of liver disease: a two-centre cross-sectional observational study.

Authors:  Natasha McDonald; Peter J Eddowes; James Hodson; Scott I K Semple; Nigel P Davies; Catherine J Kelly; Stella Kin; Miranda Phillips; Amy H Herlihy; Timothy J Kendall; Rachel M Brown; Desley A H Neil; Stefan G Hübscher; Gideon M Hirschfield; Jonathan A Fallowfield
Journal:  Sci Rep       Date:  2018-06-15       Impact factor: 4.379

10.  Reference range of liver corrected T1 values in a population at low risk for fatty liver disease-a UK Biobank sub-study, with an appendix of interesting cases.

Authors:  A Mojtahed; C J Kelly; A H Herlihy; S Kin; H R Wilman; A McKay; M Kelly; M Milanesi; S Neubauer; E L Thomas; J D Bell; R Banerjee; M Harisinghani
Journal:  Abdom Radiol (NY)       Date:  2019-01
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  6 in total

1.  What's new in non-alcoholic fatty liver disease?

Authors:  Jessica Spiers; James Hallimond Brindley; Wenhao Li; William Alazawi
Journal:  Frontline Gastroenterol       Date:  2022-05-31

2.  Point-of-care magnetic resonance technology to measure liver fat: Phantom and first-in-human pilot study.

Authors:  Mark Barahman; Eduardo Grunvald; Pablo J Prado; Alejandro Bussandri; Walter C Henderson; Tanya Wolfson; Kathryn J Fowler; Claude B Sirlin
Journal:  Magn Reson Med       Date:  2022-05-25       Impact factor: 3.737

3.  Safety, Tolerability, and Biologic Activity of AXA1125 and AXA1957 in Subjects With Nonalcoholic Fatty Liver Disease.

Authors:  Stephen A Harrison; Seth J Baum; Nadege T Gunn; Ziad H Younes; Anita Kohli; Rashmee Patil; Margaret J Koziel; Harinder Chera; Jeff Zhao; Manu V Chakravarthy
Journal:  Am J Gastroenterol       Date:  2021-12-01       Impact factor: 12.045

4.  Improving the accuracy of fatty liver index to reflect liver fat content with predictive regression modelling.

Authors:  Hykoush A Asaturyan; Nicolas Basty; Marjola Thanaj; Brandon Whitcher; E Louise Thomas; Jimmy D Bell
Journal:  PLoS One       Date:  2022-09-13       Impact factor: 3.752

Review 5.  Multiparametric MR mapping in clinical decision-making for diffuse liver disease.

Authors:  Helena B Thomaides-Brears; Rita Lepe; Rajarshi Banerjee; Carlos Duncker
Journal:  Abdom Radiol (NY)       Date:  2020-08-05

Review 6.  Human Genetics to Identify Therapeutic Targets for NAFLD: Challenges and Opportunities.

Authors:  Xiaomi Du; Natalie DeForest; Amit R Majithia
Journal:  Front Endocrinol (Lausanne)       Date:  2021-12-07       Impact factor: 5.555

  6 in total

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