Open Access. Powered by Scholars. Published by Universities.®

Medicine and Health Sciences Commons

Open Access. Powered by Scholars. Published by Universities.®

Analytical, Diagnostic and Therapeutic Techniques and Equipment

Research outputs 2014 to 2021

Screening

Publication Year

Articles 1 - 2 of 2

Full-Text Articles in Medicine and Health Sciences

Detection Of Hfe Haemochromatosis In The Clinic And Community Using Standard Erythrocyte Tests, Niwansa Adris, Simon Hazeldine, Peter Bentley, Debbie Trinder, Anita C.G. Chua, Lawrie W. Powell, Louise E. Ramm, Grant A. Ramm, John K. Olynyk Feb 2019

Detection Of Hfe Haemochromatosis In The Clinic And Community Using Standard Erythrocyte Tests, Niwansa Adris, Simon Hazeldine, Peter Bentley, Debbie Trinder, Anita C.G. Chua, Lawrie W. Powell, Louise E. Ramm, Grant A. Ramm, John K. Olynyk

Research outputs 2014 to 2021

Detection of HFE Haemochromatosis (HH) is challenging in the absence of clinical features. HH subjects have elevated erythrocyte parameters compared to those without HH, but it remains unclear how this could be applied in clinical practice. Thus, we determined the sensitivity, specificity and clinical utility of erythrocyte parameters in 144 HH subjects with (n = 122) or without (n = 22) clinical and/or biochemical expression of iron overload, 1844 general population controls, and 700 chronic disease subjects. For both expressing and non-expressing HH subjects, the mean pre- and post-phlebotomy values of mean cell volume (MCV) and mean cell haemoglobin (MCH) …


1h-Nmr Urinary Metabolomic Profiling For Diagnosis Of Gastric Cancer, Angela W. Chan, Pascal Mercier, Daniel Schiller, Robert Bailey, Sarah Robbins, Dean T. Eurich, Michael B. Sawyer, David Broadhurst Jan 2016

1h-Nmr Urinary Metabolomic Profiling For Diagnosis Of Gastric Cancer, Angela W. Chan, Pascal Mercier, Daniel Schiller, Robert Bailey, Sarah Robbins, Dean T. Eurich, Michael B. Sawyer, David Broadhurst

Research outputs 2014 to 2021

Background:

Metabolomics has shown promise in gastric cancer (GC) detection. This research sought to identify whether GC has a unique urinary metabolomic profile compared with benign gastric disease (BN) and healthy (HE) patients.

Methods:

Urine from 43 GC, 40 BN, and 40 matched HE patients was analysed using 1H nuclear magnetic resonance (1H-NMR) spectroscopy, generating 77 reproducible metabolites (QC-RSD < 25%). Univariate and multivariate (MVA) statistics were employed. A parsimonious biomarker profile of GC vs HE was investigated using LASSO regularised logistic regression (LASSO-LR). Model performance was assessed using Receiver Operating Characteristic (ROC) curves.

Results:

GC displayed a clear discriminatory biomarker profile; the BN profile overlapped with GC and HE. LASSO-LR identified …