Literature DB >> 30600417

Assessing the potential of quantitative 2D HSQC NMR in 13C enriched living organisms.

Daniel Lane1, Thomas E Skinner2, Naum I Gershenzon2, Wolfgang Bermel3, Ronald Soong1, Rudraksha Dutta Majumdar1,4, Yalda Liaghati Mobarhan1, Sebastian Schmidt5, Hermann Heumann5, Martine Monette4, Myrna J Simpson1, André J Simpson6.   

Abstract

In vivo Nuclear Magnetic Resonance (NMR) spectroscopy has great potential to interpret the biochemical response of organisms to their environment, thus making it an essential tool in understanding toxic mechanisms. However, magnetic susceptibility distortions lead to 1D NMR spectra of living organisms with lines that are too broad to identify and quantify metabolites, necessitating the use of 2D 1H-13C Heteronuclear Single Quantum Coherence (HSQC) as a primary tool. While quantitative 2D HSQC is well established, to our knowledge it has yet to be applied in vivo. This study represents a simple pilot study that compares two of the most popular quantitative 2D HSQC approaches to determine if quantitative results can be directly obtained in vivo in isotopically enriched Daphnia magna (water flea). The results show the perfect-HSQC experiment performs very well in vivo, but the decoupling scheme used is critical for accurate quantitation. An improved decoupling approach derived using optimal control theory is presented here that improves the accuracy of metabolite concentrations that can be extracted in vivo down to micromolar concentrations. When combined with 2D Electronic Reference To access In vivo Concentrations (ERETIC) protocols, the protocol allows for the direct extraction of in vivo metabolite concentrations without the use of internal standards that can be detrimental to living organisms. Extracting absolute metabolic concentrations in vivo is an important first step and should, for example, be important for the parameterization as well as the validation of metabolic flux models in the future.

Entities:  

Keywords:  2D NMR; ERETIC; In vivo; Optimal control theory; Quantitative analysis

Mesh:

Substances:

Year:  2019        PMID: 30600417     DOI: 10.1007/s10858-018-0221-2

Source DB:  PubMed          Journal:  J Biomol NMR        ISSN: 0925-2738            Impact factor:   2.835


  5 in total

Review 1.  In vivo2H/13C flux analysis in metabolism research.

Authors:  Tomasz K Bednarski; Mohsin Rahim; Jamey D Young
Journal:  Curr Opin Biotechnol       Date:  2021-05-25       Impact factor: 10.279

Review 2.  13C metabolic flux analysis: Classification and characterization from the perspective of mathematical modeling and application in physiological research of neural cell.

Authors:  Birui Tian; Meifeng Chen; Lunxian Liu; Bin Rui; Zhouhui Deng; Zhengdong Zhang; Tie Shen
Journal:  Front Mol Neurosci       Date:  2022-09-08       Impact factor: 6.261

Review 3.  Resolving Metabolic Heterogeneity in Experimental Models of the Tumor Microenvironment from a Stable Isotope Resolved Metabolomics Perspective.

Authors:  Teresa W-M Fan; Richard M Higashi; Yelena Chernayavskaya; Andrew N Lane
Journal:  Metabolites       Date:  2020-06-15

4.  Ex vivo Comprehensive Multiphase NMR of whole organisms: A complementary tool to in vivo NMR.

Authors:  Rajshree Ghosh Biswas; Blythe Fortier-McGill; Mohammad Akhter; Ronald Soong; Paris Ning; Monica Bastawrous; Amy Jenne; Daniel Schmidig; Peter De Castro; Stephan Graf; Till Kuehn; Falko Busse; Jochem Struppe; Michael Fey; Hermann Heumann; Holger Boenisch; Marcel Gundy; Myrna J Simpson; André J Simpson
Journal:  Anal Chim Acta X       Date:  2020-06-27

Review 5.  Quantitative NMR-Based Biomedical Metabolomics: Current Status and Applications.

Authors:  Alexandra A Crook; Robert Powers
Journal:  Molecules       Date:  2020-11-04       Impact factor: 4.927

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.