Literature DB >> 34369014

Closing the gap between in vivo and in vitro omics: using QA/QC to strengthen ex vivo NMR metabolomics.

Amith Sadananda Maroli1,2, Robert Powers1,2.   

Abstract

Metabolomics aims to achieve a global quantitation of the pool of metabolites within a biological system. Importantly, metabolite concentrations serve as a sensitive marker of both genomic and phenotypic changes in response to both internal and external stimuli. NMR spectroscopy greatly aids in the understanding of both in vitro and in vivo physiological systems and in the identification of diagnostic and therapeutic biomarkers. Accordingly, NMR is widely utilized in metabolomics and fluxomics studies due to its limited requirements for sample preparation and chromatography, its non-destructive and quantitative nature, its utility in the structural elucidation of unknown compounds, and, importantly, its versatility in the analysis of in vitro, in vivo, and ex vivo samples. This review provides an overview of the strengths and limitations of in vitro and in vivo experiments for translational research and discusses how ex vivo studies may overcome these weaknesses to facilitate the extrapolation of in vitro insights to an in vivo system. The application of NMR-based metabolomics to ex vivo samples, tissues, and biofluids can provide essential information that is close to a living system (in vivo) with sensitivity and resolution comparable to those of in vitro studies. The success of this extrapolation process is critically dependent on high-quality and reproducible data. Thus, the incorporation of robust quality assurance and quality control checks into the experimental design and execution of NMR-based metabolomics experiments will ensure the successful extrapolation of ex vivo studies to benefit translational medicine.
© 2021 John Wiley & Sons, Ltd.

Entities:  

Keywords:  HR-MAS; NMR; biomarkers; ex vivo; metabolomics; quality assurance; quality control; translational medicine

Year:  2021        PMID: 34369014      PMCID: PMC8821733          DOI: 10.1002/nbm.4594

Source DB:  PubMed          Journal:  NMR Biomed        ISSN: 0952-3480            Impact factor:   4.044


  75 in total

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Review 3.  Gaining acceptance for the use of in vitro toxicity assays and QIVIVE in regulatory risk assessment.

Authors:  M E Bette Meek; John C Lipscomb
Journal:  Toxicology       Date:  2015-01-15       Impact factor: 4.221

4.  Application of ex vivo (1)H NMR metabonomics to the characterization and possible detection of renal cell carcinoma metastases.

Authors:  Hongchang Gao; Baijun Dong; Jianmin Jia; Huan Zhu; Chengfeng Diao; Zhihan Yan; Yiran Huang; Xiaokun Li
Journal:  J Cancer Res Clin Oncol       Date:  2012-01-19       Impact factor: 4.553

5.  Combining DI-ESI-MS and NMR datasets for metabolic profiling.

Authors:  Darrell D Marshall; Shulei Lei; Bradley Worley; Yuting Huang; Aracely Garcia-Garcia; Rodrigo Franco; Eric D Dodds; Robert Powers
Journal:  Metabolomics       Date:  2015-04       Impact factor: 4.290

Review 6.  Clinical applications of metabolomics in oncology: a review.

Authors:  Jennifer L Spratlin; Natalie J Serkova; S Gail Eckhardt
Journal:  Clin Cancer Res       Date:  2009-01-15       Impact factor: 12.531

7.  High-precision frequency measurements: indispensable tools at the core of the molecular-level analysis of complex systems.

Authors:  N Hertkorn; C Ruecker; M Meringer; R Gugisch; M Frommberger; E M Perdue; M Witt; P Schmitt-Kopplin
Journal:  Anal Bioanal Chem       Date:  2007-10-09       Impact factor: 4.142

8.  Metabolomics reveals signature of mitochondrial dysfunction in diabetic kidney disease.

Authors:  Kumar Sharma; Bethany Karl; Anna V Mathew; Jon A Gangoiti; Christina L Wassel; Rintaro Saito; Minya Pu; Shoba Sharma; Young-Hyun You; Lin Wang; Maggie Diamond-Stanic; Maja T Lindenmeyer; Carol Forsblom; Wei Wu; Joachim H Ix; Trey Ideker; Jeffrey B Kopp; Sanjay K Nigam; Clemens D Cohen; Per-Henrik Groop; Bruce A Barshop; Loki Natarajan; William L Nyhan; Robert K Naviaux
Journal:  J Am Soc Nephrol       Date:  2013-10-10       Impact factor: 10.121

9.  NANS-mediated synthesis of sialic acid is required for brain and skeletal development.

Authors:  Clara D M van Karnebeek; Luisa Bonafé; Xiao-Yan Wen; Maja Tarailo-Graovac; Sara Balzano; Beryl Royer-Bertrand; Angel Ashikov; Livia Garavelli; Isabella Mammi; Licia Turolla; Catherine Breen; Dian Donnai; Valérie Cormier-Daire; Delphine Heron; Gen Nishimura; Shinichi Uchikawa; Belinda Campos-Xavier; Antonio Rossi; Thierry Hennet; Koroboshka Brand-Arzamendi; Jacob Rozmus; Keith Harshman; Brian J Stevenson; Enrico Girardi; Giulio Superti-Furga; Tammie Dewan; Alissa Collingridge; Jessie Halparin; Colin J Ross; Margot I Van Allen; Andrea Rossi; Udo F Engelke; Leo A J Kluijtmans; Ed van der Heeft; Herma Renkema; Arjan de Brouwer; Karin Huijben; Fokje Zijlstra; Torben Heise; Thomas Boltje; Wyeth W Wasserman; Carlo Rivolta; Sheila Unger; Dirk J Lefeber; Ron A Wevers; Andrea Superti-Furga
Journal:  Nat Genet       Date:  2016-05-23       Impact factor: 38.330

10.  Metabolomics--a new exciting field within the "omics" sciences.

Authors:  Katja Dettmer; Bruce D Hammock
Journal:  Environ Health Perspect       Date:  2004-05       Impact factor: 9.031

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  2 in total

1.  Monte Carlo study of metabolite correlations originating from spectral overlap.

Authors:  Sungtak Hong; Li An; Jun Shen
Journal:  J Magn Reson       Date:  2022-06-15       Impact factor: 2.734

Review 2.  NMR and Metabolomics-A Roadmap for the Future.

Authors:  David S Wishart; Leo L Cheng; Valérie Copié; Arthur S Edison; Hamid R Eghbalnia; Jeffrey C Hoch; Goncalo J Gouveia; Wimal Pathmasiri; Robert Powers; Tracey B Schock; Lloyd W Sumner; Mario Uchimiya
Journal:  Metabolites       Date:  2022-07-23
  2 in total

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