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Featured researches published by E.K. Gan.


Hepatology | 2012

Disruption of hemochromatosis protein and transferrin receptor 2 causes iron-induced liver injury in mice†

Roheeth D. Delima; Anita C. G. Chua; Janina E.E. Tirnitz-Parker; E.K. Gan; Kevin D. Croft; Ross M. Graham; John K. Olynyk; Debbie Trinder

Mutations in hemochromatosis protein (HFE) or transferrin receptor 2 (TFR2) cause hereditary hemochromatosis (HH) by impeding production of the liver iron‐regulatory hormone, hepcidin (HAMP). This study examined the effects of disruption of Hfe or Tfr2, either alone or together, on liver iron loading and injury in mouse models of HH. Iron status was determined in Hfe knockout (Hfe−/−), Tfr2 Y245X mutant (Tfr2mut), and double‐mutant (Hfe−/−×Tfr2mut) mice by measuring plasma and liver iron levels. Plasma alanine transaminase (ALT) activity, liver histology, and collagen deposition were evaluated to assess liver injury. Hepatic oxidative stress was assessed by measuring superoxide dismutase (SOD) activity and F2‐isoprostane levels. Gene expression was measured by real‐time polymerase chain reaction. Hfe−/−×Tfr2mut mice had elevated hepatic iron with a periportal distribution and increased plasma iron, transferrin saturation, and non‐transferrin‐bound iron, compared with Hfe−/−, Tfr2mut, and wild‐type (WT) mice. Hamp1 expression was reduced to 40% (Hfe−/− and Tfr2mut) and 1% (Hfe−/−×Tfr2mut) of WT values. Hfe−/− ×Tfr2mut mice had elevated plasma ALT activity and mild hepatic inflammation with scattered aggregates of infiltrating inflammatory cluster of differentiation 45 (CD45)–positive cells. Increased hepatic hydoxyproline levels as well as Sirius red and Massons Trichrome staining demonstrated advanced portal collagen deposition. Hfe−/− and Tfr2mut mice had less hepatic inflammation and collagen deposition. Liver F2‐isoprostane levels were elevated, and copper/zinc and manganese SOD activities decreased in Hfe−/−×Tfr2mut, Tfr2mut, and Hfe−/− mice, compared with WT mice. Conclusion: Disruption of both Hfe and Tfr2 caused more severe hepatic iron overload with more advanced lipid peroxidation, inflammation, and portal fibrosis than was observed with the disruption of either gene alone. The Hfe−/−×Tfr2mut mouse model of iron‐induced liver injury reflects the liver injury phenotype observed in human HH. (HEPATOLOGY 2012)


Journal of Magnetic Resonance Imaging | 2015

Texture-based classification of liver fibrosis using MRI

Michael J. House; Sander J. Bangma; M. Thomas; E.K. Gan; Oyekoya T. Ayonrinde; Leon A. Adams; John K. Olynyk; T. G. St. Pierre

To investigate the ability of texture analysis of MRI images to stage liver fibrosis. Current noninvasive approaches for detecting liver fibrosis have limitations and cannot yet routinely replace biopsy for diagnosing significant fibrosis.


PLOS ONE | 2013

Diagnostic performance of a rapid magnetic resonance imaging method of measuring hepatic steatosis

Michael J. House; E.K. Gan; Leon A. Adams; Oyekoya T. Ayonrinde; Sander J. Bangma; Prithi S. Bhathal; John K. Olynyk; Timothy G. St. Pierre

Objectives Hepatic steatosis is associated with an increased risk of developing serious liver disease and other clinical sequelae of the metabolic syndrome. However, visual estimates of steatosis from histological sections of biopsy samples are subjective and reliant on an invasive procedure with associated risks. The aim of this study was to test the ability of a rapid, routinely available, magnetic resonance imaging (MRI) method to diagnose clinically relevant grades of hepatic steatosis in a cohort of patients with diverse liver diseases. Materials and Methods Fifty-nine patients with a range of liver diseases underwent liver biopsy and MRI. Hepatic steatosis was quantified firstly using an opposed-phase, in-phase gradient echo, single breath-hold MRI methodology and secondly, using liver biopsy with visual estimation by a histopathologist and by computer-assisted morphometric image analysis. The area under the receiver operating characteristic (ROC) curve was used to assess the diagnostic performance of the MRI method against the biopsy observations. Results The MRI approach had high sensitivity and specificity at all hepatic steatosis thresholds. Areas under ROC curves were 0.962, 0.993, and 0.972 at thresholds of 5%, 33%, and 66% liver fat, respectively. MRI measurements were strongly associated with visual (r2 = 0.83) and computer-assisted morphometric (r2 = 0.84) estimates of hepatic steatosis from histological specimens. Conclusions This MRI approach, using a conventional, rapid, gradient echo method, has high sensitivity and specificity for diagnosing liver fat at all grades of steatosis in a cohort with a range of liver diseases.


PLOS ONE | 2016

Stereological analysis of liver biopsy histology sections as a reference standard for validating Non-Invasive liver fat fraction measurements by MRI

Timothy G. St. Pierre; Michael J. House; Sander J. Bangma; Wenjie Pang; Andrew Bathgate; E.K. Gan; Oyekoya T. Ayonrinde; Prithi S. Bhathal; Andrew D. Clouston; John K. Olynyk; Leon A. Adams

Background and Aims Validation of non-invasive methods of liver fat quantification requires a reference standard. However, using standard histopathology assessment of liver biopsies is problematical because of poor repeatability. We aimed to assess a stereological method of measuring volumetric liver fat fraction (VLFF) in liver biopsies and to use the method to validate a magnetic resonance imaging method for measurement of VLFF. Methods VLFFs were measured in 59 subjects (1) by three independent analysts using a stereological point counting technique combined with the Delesse principle on liver biopsy histological sections and (2) by three independent analysts using the HepaFat-Scan® technique on magnetic resonance images of the liver. Bland Altman statistics and intraclass correlation (IC) were used to assess the repeatability of each method and the bias between the methods of liver fat fraction measurement. Results Inter-analyst repeatability coefficients for the stereology and HepaFat-Scan® methods were 8.2 (95% CI 7.7–8.8)% and 2.4 (95% CI 2.2–2.5)% VLFF respectively. IC coefficients were 0.86 (95% CI 0.69–0.93) and 0.990 (95% CI 0.985–0.994) respectively. Small biases (≤3.4%) were observable between two pairs of analysts using stereology while no significant biases were observable between any of the three pairs of analysts using HepaFat-Scan®. A bias of 1.4±0.5% VLFF was observed between the HepaFat-Scan® method and the stereological method. Conclusions Repeatability of the stereological method is superior to the previously reported performance of assessment of hepatic steatosis by histopathologists and is a suitable reference standard for validating non-invasive methods of measurement of VLFF.


Expert Review of Endocrinology & Metabolism | 2009

Genetics of hereditary hemochromatosis : a clinical perspective

E.K. Gan; Debbie Trinder; Oyekoya T. Ayonrinde; John K. Olynyk

Hereditary hemochromatosis due to homozygosity for the C282Y mutation in the HFE gene product is the most common autosomal recessive genetic disorder in populations of northern European descent, where it attains a maximum prevalence of approximately one in 200. Cross-sectional and longitudinal studies have revealed that clinically significant iron-overload disease develops in at least 28% of male and 1% of female HFE C282Y homozygotes. The relatively low clinical penetrance is largely unexplained. Current evidence suggests a limited role for digenic inheritance of mutations in iron homeostasis genes in modifying the penetrance of hemochromatosis. Male gender is a strong genetic factor, promoting expression of clinical disease. Dietary intake of alcohol and noncitrus fruit may also act as important environmental modifiers of penetrance. With genetic analyses becoming simpler to perform, new genetic modifiers of hepatic iron loading and liver fibrogenesis are likely to be forthcoming.


Pathology | 2012

Screening for hereditary haemochromatosis

Itty M. Nadakkavukaran; E.K. Gan; John K. Olynyk


Current Gastroenterology Reports | 2010

Phenotypic expression of hereditary hemochromatosis : what have we learned from the population studies?

E.K. Gan; Oyekoya T. Ayonrinde; Debbie Trinder; John K. Olynyk


Prakoso, E., Tirnitz-Parker, J.E.E., Clouston, A.D., Kayali, Z., Lee, A., Gan, E.K., Ramm, G.A., Kench, J.G., Bowen, D.G., Olynyk, J.K. <http://researchrepository.murdoch.edu.au/view/author/Olynyk, John.html>, McCaughan, G.W. and Shackel, N.A. (2014) Analysis Of The intrahepatic ductular reaction and progenitor cell responses in hepatitis C virus recurrence Post-Liver transplantation. Liver Transplantation, 20 (12). pp. 1508-1519. | 2014

Analysis of the intrahepatic ductular reaction and progenitor cell responses in hepatitis C virus recurrence after liver transplantation

Emilia Prakoso; Janina E.E. Tirnitz-Parker; Andrew D. Clouston; Z. Kayali; Aimei Lee; E.K. Gan; Grant A. Ramm; James G. Kench; David G. Bowen; John K. Olynyk; Geoffrey W. McCaughan; Nicholas A. Shackel


Hepatology | 2012

Diagnostic performance of a rapid Magnetic Resonance Imaging Method of measuring hepatic steatosis

Michael J. House; E.K. Gan; Leon A. Adams; Oyekoya T. Ayonrinde; Sander J. Bangma; Prithi S. Bhathal; John K. Olynyk; T. G. St. Pierre


Journal of Hepatology | 2017

Normal values of liver stiffness as measured by transient elastography: pooled individual participant data meta-analysis from 26 studies and 14,883 participants

Fateh Bazerbachi; Samir Haffar; Zhen Wang; J.C. González; María Teresa Arias-Loste; Javier Crespo; S. Darwish-Murad; M.A. Ikram; Salvatore Petta; Alessandra Berzuini; Daniele Prati; V. de Ledinghen; Vincent Wai-Sun Wong; P. Del Poggio; Norberto C. Chávez-Tapia; Yong-Peng Chen; Pin-Nan Cheng; Man-Fung Yuen; Kausik Das; Abhijit Chowdhury; Llorenç Caballería; Núria Fabrellas; Pere Ginès; Manoj Kumar; Shiv Kumar Sarin; Filomena Conti; Pietro Andreone; Roxana Sirli; Helena Cortez-Pinto; Sofia Carvalhana

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Leon A. Adams

University of Western Australia

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Oyekoya T. Ayonrinde

University of Western Australia

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Michael J. House

University of Western Australia

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Debbie Trinder

University of Western Australia

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Julie A. Marsh

University of Western Australia

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T. G. St. Pierre

University of Western Australia

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