Journal ArticleDOI
Identification of potential diagnostic biomarkers of acute pancreatitis by serum metabolomic profiles
Hong Xiao,Jianhua Huang,Xing-wen Zhang,Rida Ahmed,Qingling Xie,Bin Li,Yi-ming Zhu,Xiong Cai,Qing-hua Peng,Yu-hui Qin,Huiyong Huang,Wei Wang +11 more
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TLDR
It is suggested that GC-MS based serum metabolomics method can be used in the clinical diagnosis of AP by profiling potential biomarkers.About:
This article is published in Pancreatology.The article was published on 2017-07-01. It has received 22 citations till now. The article focuses on the topics: Biomarker discovery.read more
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The early prediction of mortality in acute pancreatitis : a large population-based study. Commentary
Peter Layer,Bechien U. Wu,Richard S. Johannes,Xiaowu Sun,Ying P. Tabak,Darwin L. Conwell,Peter A. Banks +6 more
TL;DR: In this article, a clinical scoring system was developed for prediction of in-hospital mortality in acute pancreatitis using Classification and Regression Tree (CART) analysis, which was derived on data collected from 17 992 cases of AP from 212 hospitals in 2000-2001.
Journal ArticleDOI
A review of validated biomarkers obtained through metabolomics
TL;DR: Metabolomics has been demonstrated as rapidly growing due to the improvements in instrumentation, mainly mass spectrometry, and data mining software and should be validated in different stages, from analytical validation to validation in independent sets of samples, using thousands of samples from different sources.
Journal ArticleDOI
Multifactorial Scores and Biomarkers of Prognosis of Acute Pancreatitis: Applications to Research and Practice
Pedro Silva-Vaz,Ana M. Abrantes,Miguel Castelo-Branco,António Gouveia,Maria Filomena Botelho,José Guilherme Tralhão +5 more
TL;DR: An overview of the available multifactorial scoring systems and biochemical markers for predicting severe AP with a special focus on their advantages and limitations is provided.
Journal ArticleDOI
Personalized Herbal Medicine? A Roadmap for Convergence of Herbal and Precision Medicine Biomarker Innovations
Nicholas Ekow Thomford,Kevin Dzobo,Emile R. Chimusa,Kerstin Andrae-Marobela,Shadreck Chirikure,Ambroise Wonkam,Collet Dandara +6 more
TL;DR: Africa, by virtue of its vast experience and exposure in herbal medicine and a "pregnant" life sciences innovation ecosystem, could play a game-changing role for the "birth" of biomarker-informed personalized herbal medicine in the near future.
Journal ArticleDOI
Identification and validation of a multivariable prediction model based on blood plasma and serum metabolomics for the distinction of chronic pancreatitis subjects from non-pancreas disease control subjects
M Gordian Adam,Georg Beyer,Nicole Christiansen,Beate Kamlage,Christian Pilarsky,Marius Distler,Tim Fahlbusch,Ansgar M. Chromik,Fritz Klein,Marcus Bahra,Waldemar Uhl,Robert Grützmann,Ujjwal M. Mahajan,Frank Ulrich Weiss,Julia Mayerle,Markus M. Lerch +15 more
TL;DR: In this article, a Naive Bayes algorithm was used to identify eight metabolites of six ontology classes for the diagnosis of chronic pancreatitis and achieved an area under the curve (AUC) of 0.85.
References
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KEGG as a reference resource for gene and protein annotation
TL;DR: The KEGG GENES database now includes viruses, plasmids, and the addendum category for functionally characterized proteins that are not represented in complete genomes, and new automatic annotation servers, BlastKOalA and GhostKOALA, are made available utilizing the non-redundant pangenome data set generated from theGENES database.
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Classification of acute pancreatitis—2012: revision of the Atlanta classification and definitions by international consensus
Peter A. Banks,Thomas L. Bollen,Christos Dervenis,Hein G. Gooszen,Colin D. Johnson,Michael G. Sarr,Gregory G. Tsiotos,Santhi Swaroop Vege +7 more
TL;DR: This international, web-based consensus provides clear definitions to classify acute pancreatitis using easily identified clinical and radiologic criteria and should encourage widespread adoption.
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HMDB 3.0—The Human Metabolome Database in 2013
David S. Wishart,Timothy Jewison,An Chi Guo,Michael Wilson,Craig Knox,Yifeng Liu,Yannick Djoumbou,Rupasri Mandal,Farid Aziat,Edison Dong,Souhaila Bouatra,Igor Sinelnikov,David Arndt,Jianguo Xia,Philip Liu,Faizath S. Yallou,Trent C. Bjorndahl,Rolando Perez-Pineiro,Roman Eisner,Felicity Allen,Vanessa Neveu,Russell Greiner,Augustin Scalbert +22 more
TL;DR: New database visualization tools and new data content have been added or enhanced to the HMDB, which includes better spectral viewing tools, more powerful chemical substructure searches, an improved chemical taxonomy and better, more interactive pathway maps.
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MetaboAnalyst 3.0—making metabolomics more meaningful
TL;DR: By completely re-implementing the MetaboAnalyst suite using the latest web framework technologies, the server has been able to substantially improve its performance, capacity and user interactivity.
Journal ArticleDOI
Procedures for large-scale metabolic profiling of serum and plasma using gas chromatography and liquid chromatography coupled to mass spectrometry
Warwick B. Dunn,David Broadhurst,David Broadhurst,Paul Begley,Eva Zelena,Sue Francis-McIntyre,Nadine Anderson,Marie Brown,Joshau D Knowles,Antony Halsall,John N. Haselden,Andrew W. Nicholls,Ian D. Wilson,Douglas B. Kell,Royston Goodacre +14 more
TL;DR: The experimental workflow for long-term and large-scale metabolomic studies involving thousands of human samples with data acquired for multiple analytical batches over many months and years is described.