Literature DB >> 24124761

Effects of intra- and post-operative ischemia on the metabolic profile of clinical liver tissue specimens monitored by NMR.

Stefano Cacciatore1, Xiaoyu Hu, Christian Viertler, Marcel Kap, Gerwin A Bernhardt, Hans-Jörg Mischinger, Peter Riegman, Kurt Zatloukal, Claudio Luchinat, Paola Turano.   

Abstract

Metabolomic profiles of tissues could greatly contribute to advancements in personalized medicine but are influenced by differences in adopted preanalytical procedures; nonhomogeneous pre- and post-excision ischemia times are potential sources of variability. In this study, we monitored the impact of ischemia on the metabolic profiles, acquired with high-resolution magic-angle-spinning (1)H NMR, of 162 human liver samples collected during and up to 6 h after routine surgery. The profiles changed significantly as a function of intraoperative warm ischemia (WI) and postresection cold ischemia (CI) time, with significant variations in the concentration of the same 16 metabolites. Therefore, a tight control of the preanalytical phase is essential for reliable metabolomic analyses of liver diseases. The NMR profiles provide a reliable "fingerprint" of ischemia and have predictive value: the best-performing predictive models are found to discriminate extreme time points of CI (0' vs 360 ') in the training set with cross-validation accuracy of ~90%; samples in the validation cohort can discriminate short (≤60') from long (≥180') CI with an accuracy of ~80%. For WI, the corresponding figures are 95.6 and 92%, respectively. Therefore, ischemia NMR profiles might become a tool for tissue quality control in biobanks.

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Year:  2013        PMID: 24124761     DOI: 10.1021/pr400702d

Source DB:  PubMed          Journal:  J Proteome Res        ISSN: 1535-3893            Impact factor:   4.466


  13 in total

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Journal:  Biopreserv Biobank       Date:  2016-12-19       Impact factor: 2.300

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6.  Machine learning enhanced virtual autopsy.

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Review 10.  Recommendations and Standardization of Biomarker Quantification Using NMR-Based Metabolomics with Particular Focus on Urinary Analysis.

Authors:  Abdul-Hamid Emwas; Raja Roy; Ryan T McKay; Danielle Ryan; Lorraine Brennan; Leonardo Tenori; Claudio Luchinat; Xin Gao; Ana Carolina Zeri; G A Nagana Gowda; Daniel Raftery; Christoph Steinbeck; Reza M Salek; David S Wishart
Journal:  J Proteome Res       Date:  2016-01-20       Impact factor: 4.466

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