nmr based metabonomics study on celiac disease in the blood serum
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abstract
normal 0 false false false en-us x-none fa microsoftinternetexplorer4 aim : the aim of this study is to look for the proper methods that would be a major step towards untreated cd diagnosis and seek the metabolic biomarkers causes of cd and compare them to control group. background : celiac disease (cd) is a common autoimmune disorder that is not easily diagnosed using the clinical tests. patients and methods : thirty cases and 30 controls were entered into this study. metabolic profiling was obtained using proton nuclear magnetic resonance spectroscopy ( 1 hnmr) to seek metabolites that are helpful for the detection of cd. classification of cd and healthy subject was done using random forest (rf). results : the obtained classification model showed an 89% correct classification of cd and healthy subject for the external test set. the metabolites that caused changes in people with cd were identified using rf; these metabolites include lactate, valine and lipid. conclusion : the findings of the present study reveal serum lactate, valin and lipid levels in cd patient are lower than healthy cohorts . this metabolite may provide diagnostic tools as well as insight into potential targets for disease therapy.
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Journal title:
gastroenterology and hepatology from bed to benchجلد ۶، شماره ۴، صفحات ۲۰۱۳-۶
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