Medicine
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This repository contains the published and unpublished research of the Faculty of Medicine by the staff members of the faculty
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Item Genetic and metabolic aspects of non-alcoholic fatty liver disease (NAFLD) pathogenicity(Springer, 2023) Samarasinghe, S.M.; Hewage, A.S.; Siriwardana, R.C.; Tennekoon, K.H.; Niriella, M.A.; de Silva, S.BACKGROUND: Non-alcoholic fatty liver disease (NAFLD) is the most common chronic liver disease showing a risingprevalence globally. Genetic predisposition plays a key role in the development and progression of the disease pathogenicity. MAIN BODY: This paper summarizes genetic associations based on their influence on several metabolic aspects such as lipid metabolism, glucose metabolism, hepatic iron accumulation and cholesterol metabolism toward the NAFLD pathogenicity. Furthermore, we present variations in some epigenetic characters and the microRNA profile with regard to NAFLD. CONCLUSION: As reported in many studies, the PNPLA3 rs738409 variant seems to be significantly associated with NAFLD susceptibility. Other gene variants like TM6SF2 rs58542926, MBOAT7 rs641738 and GCKR variants also appear to be more prevalent among NAFLD patients. We believe these genetic variants may provide insights into new trends in developing noninvasive biomarkers and identify their suitability in clinical practice in the future.Item Unequal distribution of liver fat warrants careful selection of biopsy site during donor assessment(Sri Lanka Medical Association, 2017) Siriwardana, R.C.; Sivasundarama, T.; Tillakaratne, M.S.B.; Paranahewa, L.INTRODUCTION & OBJECTIVES: Non-alcoholic fatty liver disease (NAFLD) is a major health concern. Liver fat deposition seems to have a segmental variation. This can affect invasive, and non-invasive detection of NAFLD. The present study evaluates the pattern of fat distribution of the liver using liver computed tomogram (CT) attenuation index. METHODS: Two radiologists evaluated 517 non-contrast CT abdomen and pelvis images. Two 40mm2 regions of interest (ROIs) were selected from each segment. The hepatic segmental densities were obtained by calculating the mean densities of areas of corresponding liver segments. The mean hepatic attenuation (MHA) was quantified by obtaining the mean segmental densities. Densities were compared among segments and with the MHA. RESULTS: The median age was 58 years (min-max: 9-88; IQR: 45-67) and 276 (53.4 %) were males. The overall median hepatic density (i.e. grand median) was 53.05 (95% CI 52.95-53.15) Hounsfield units (HU). Lowest median density was observed in segment IVb, significantly lower compared with other segments (p<0.05). Highest median segmental density was observed in segment V compared to other segments (p<0.05). Segments V, VI and VIII had higher median densities compared with grand median hepatic density (i.e. 53.05; whereas median densities of segments II, III and VII were not significantly different from the grand median. CONCLUSION: Liver biopsy taken from segments II, III and VII are likely to be the most representative of overall fat deposition.