Literature DB >> 26194948

The promise of metabolic phenotyping in gastroenterology and hepatology.

Elaine Holmes1, Anisha Wijeyesekera1, Simon D Taylor-Robinson2, Jeremy K Nicholson3.   

Abstract

Disease risk and treatment response are determined, at the individual level, by a complex history of genetic and environmental interactions, including those with our endogenous microbiomes. Personalized health care requires a deep understanding of patient biology that can now be measured using a range of '-omics' technologies. Patient stratification involves the identification of genetic and/or phenotypic disease subclasses that require different therapeutic strategies. Stratified medicine approaches to disease diagnosis, prognosis and therapeutic response monitoring herald a new dimension in patient care. Here, we explore the potential value of metabolic profiling as applied to unmet clinical needs in gastroenterology and hepatology. We describe potential applications in a number of diseases, with emphasis on large-scale population studies as well as metabolic profiling on the individual level, using spectrometric and imaging technologies that will leverage the discovery of mechanistic information and deliver novel health care solutions to improve clinical pathway management.

Entities:  

Mesh:

Year:  2015        PMID: 26194948     DOI: 10.1038/nrgastro.2015.114

Source DB:  PubMed          Journal:  Nat Rev Gastroenterol Hepatol        ISSN: 1759-5045            Impact factor:   46.802


  21 in total

1.  A Synthetic-Biology-Inspired Therapeutic Strategy for Targeting and Treating Hepatogenous Diabetes.

Authors:  Shuai Xue; Jianli Yin; Jiawei Shao; Yuanhuan Yu; Linfeng Yang; Yidan Wang; Mingqi Xie; Martin Fussenegger; Haifeng Ye
Journal:  Mol Ther       Date:  2017-02-01       Impact factor: 11.454

2.  Tsumura-Suzuki obese diabetic mice-derived hepatic tumors closely resemble human hepatocellular carcinomas in metabolism-related genes expression and bile acid accumulation.

Authors:  Tetsuyuki Takahashi; Ulrich Deuschle; Shu Taira; Takeshi Nishida; Makoto Fujimoto; Takao Hijikata; Koichi Tsuneyama
Journal:  Hepatol Int       Date:  2018-04-12       Impact factor: 6.047

Review 3.  Recent Advances in NMR-Based Metabolomics.

Authors:  G A Nagana Gowda; Daniel Raftery
Journal:  Anal Chem       Date:  2016-12-02       Impact factor: 6.986

Review 4.  Magnetic Resonance Spectroscopy: Principles and Techniques: Lessons for Clinicians.

Authors:  Joshua M Tognarelli; Mahvish Dawood; Mohamed I F Shariff; Vijay P B Grover; Mary M E Crossey; I Jane Cox; Simon D Taylor-Robinson; Mark J W McPhail
Journal:  J Clin Exp Hepatol       Date:  2015-11-12

5.  1H nuclear magnetic resonance (NMR)-based serum metabolomics of human gallbladder inflammation.

Authors:  Raj Kumar Sharma; Kumudesh Mishra; Alvina Farooqui; Anu Behari; Vinay Kumar Kapoor; Neeraj Sinha
Journal:  Inflamm Res       Date:  2016-10-21       Impact factor: 4.575

Review 6.  Novel approaches to liver disease diagnosis and modeling.

Authors:  André G Oliveira; Romina Fiorotto
Journal:  Transl Gastroenterol Hepatol       Date:  2021-04-05

Review 7.  Targeting the untargeted in molecular phenomics with structurally-selective ion mobility-mass spectrometry.

Authors:  Jody Christopher May; Randi Lee Gant-Branum; John Allen McLean
Journal:  Curr Opin Biotechnol       Date:  2016-04-29       Impact factor: 9.740

8.  Comparison of Collection Methods for Fecal Samples for Discovery Metabolomics in Epidemiologic Studies.

Authors:  Erikka Loftfield; Emily Vogtmann; Joshua N Sampson; Steven C Moore; Heidi Nelson; Rob Knight; Nicholas Chia; Rashmi Sinha
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2016-08-19       Impact factor: 4.254

Review 9.  Metabolomics: The Stethoscope for the Twenty-First Century.

Authors:  Hutan Ashrafian; Viknesh Sounderajah; Robert Glen; Timothy Ebbels; Benjamin J Blaise; Dipak Kalra; Kim Kultima; Ola Spjuth; Leonardo Tenori; Reza M Salek; Namrata Kale; Kenneth Haug; Daniel Schober; Philippe Rocca-Serra; Claire O'Donovan; Christoph Steinbeck; Isaac Cano; Pedro de Atauri; Marta Cascante
Journal:  Med Princ Pract       Date:  2020-12-03       Impact factor: 2.132

10.  Monitoring cancer prognosis, diagnosis and treatment efficacy using metabolomics and lipidomics.

Authors:  Emily G Armitage; Andrew D Southam
Journal:  Metabolomics       Date:  2016-08-16       Impact factor: 4.290

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