کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
5661272 | 1407527 | 2017 | 25 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Identification of potential diagnostic biomarkers of acute pancreatitis by serum metabolomic profiles
ترجمه فارسی عنوان
شناسایی بیومارکرهای تشخیص بالقوه پانکراتیت حاد با مشخصات متابولومیک سرم
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کلمات کلیدی
پانکراتیت حاد متابولومیکس، تشخیص الگو، کشف بیومارکر،
موضوعات مرتبط
علوم پزشکی و سلامت
پزشکی و دندانپزشکی
بیماریهای گوارشی
چکیده انگلیسی
Acute pancreatitis (AP) is defined as an acute inflammation of pancreas that may cause damage to other tissues and organs depending upon the severity of symptoms. The diagnosis of AP is usually made by detection of raised circulating pancreatic enzyme levels, but there are occasional false positive and false negative diagnoses and such tests are often normal in delayed presentations. More accurate biomarkers would help in such situations. In this study, the global metabolites' changes of AP patients (APP) were profiled by using gas chromatography-mass spectrometry (GC-MS). Multivariate pattern recognition techniques were used to establish the classification models to distinguish APP from healthy participants (HP). Some significant metabolites including 3-hydroxybutyric acid, phosphoric acid, glycerol, citric acid, d-galactose, d-mannose, d-glucose, hexadecanoic acid and serotonin were selected as potential biomarkers for helping clinical diagnosis of AP. Furthermore, the metabolite changes in APP with severe and mild symptoms were also analyzed. Based on the selected biomarkers, some relevant pathways were also identified. Our results suggested that GC-MS based serum metabolomics method can be used in the clinical diagnosis of AP by profiling potential biomarkers.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Pancreatology - Volume 17, Issue 4, JulyâAugust 2017, Pages 543-549
Journal: Pancreatology - Volume 17, Issue 4, JulyâAugust 2017, Pages 543-549
نویسندگان
Hong Xiao, Jian-hua Huang, Xing-wen Zhang, Rida Ahmed, Qing-ling Xie, Bin Li, Yi-ming Zhu, Xiong Cai, Qing-hua Peng, Yu-hui Qin, Hui-yong Huang, Wei Wang,