Literature DB >> 23828638

High-resolution NMR spectroscopy of human body fluids and tissues in relation to prostate cancer.

Virendra Kumar1, Durgesh K Dwivedi, Naranamangalam R Jagannathan.   

Abstract

High-resolution NMR spectroscopic studies of prostate tissue extracts, prostatic fluid, seminal fluid, serum and urine can be used for the detection of prostate cancer, based on the differences in their metabolic profiles. Useful diagnostic information is obtained by the detection or quantification of as many metabolites as possible and comparison with normal samples. Only a few studies have shown the potential of high-resolution in vitro NMR of prostate tissues. A survey of the literature has revealed that studies on body fluids, such as urine and serum, in relation to prostate cancer are rare. In addition, the potential of NMR of nuclei other than (1)H, such as (13)C and (31)P, has not been exploited fully. The metabolomic analysis of metabolites, detected by high-resolution NMR, may help to identify metabolites which could serve as useful biomarkers for prostate cancer detection. Such NMR-derived biomarkers would not only help in prostate cancer detection and in understanding the in vivo MRS metabolic profile, but also to investigate the biochemical and metabolic changes associated with cancer. Here, we review the published research work on body fluids in relation to prostate and prostate tissue extracts, and highlight the potential of such studies for future work.
Copyright © 2013 John Wiley & Sons, Ltd.

Entities:  

Keywords:  NMR spectroscopy; body fluid; choline; citrate; in vitro; metabolomics; prostate cancer; spermine; tissue extract

Mesh:

Substances:

Year:  2013        PMID: 23828638     DOI: 10.1002/nbm.2979

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


  17 in total

Review 1.  Metabolomic profiling of hormone-dependent cancers: a bird's eye view.

Authors:  Stacy M Lloyd; James Arnold; Arun Sreekumar
Journal:  Trends Endocrinol Metab       Date:  2015-08-01       Impact factor: 12.015

2.  Postmortem quantitative 1.5-T MRI for the differentiation and characterization of serous fluids, blood, CSF, and putrefied CSF.

Authors:  Wolf-Dieter Zech; Nicole Schwendener; Anders Persson; Marcel J Warntjes; Fabiano Riva; Frederick Schuster; Christian Jackowski
Journal:  Int J Legal Med       Date:  2015-07-11       Impact factor: 2.686

3.  Non-invasive nuclear magnetic resonance analysis of male and female embryo metabolites during in vitro embryo culture.

Authors:  Marcello Rubessa; Andrea Ambrosi; Dianelys Gonzalez-Pena; Kathryn M Polkoff; Matthew B Wheeler
Journal:  Metabolomics       Date:  2018-08-25       Impact factor: 4.290

Review 4.  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 5.  NMR-based metabolomics studies of human prostate cancer tissue.

Authors:  Ana Rita Lima; Joana Pinto; Maria de Lourdes Bastos; Márcia Carvalho; Paula Guedes de Pinho
Journal:  Metabolomics       Date:  2018-06-18       Impact factor: 4.290

6.  Biophysical review's 'meet the editors series'-a profile of Naranamangalam R. Jagannathan.

Authors:  Naranamangalam R Jagannathan
Journal:  Biophys Rev       Date:  2020-05-27

7.  Thermoacoustic contrast of prostate cancer due to heating by very high frequency irradiation.

Authors:  S K Patch; D Hull; M Thomas; S K Griep; K Jacobsohn; W A See
Journal:  Phys Med Biol       Date:  2015-01-02       Impact factor: 3.609

8.  Biomarker Discovery and Translation in Metabolomics.

Authors:  G A Nagana Gowda; D Raftery
Journal:  Curr Metabolomics       Date:  2013

9.  NMR-Based Metabolomics.

Authors:  G A Nagana Gowda; Daniel Raftery
Journal:  Adv Exp Med Biol       Date:  2021       Impact factor: 2.622

Review 10.  Novel tools for prostate cancer prognosis, diagnosis, and follow-up.

Authors:  Andreas Dimakakos; Athanasios Armakolas; Michael Koutsilieris
Journal:  Biomed Res Int       Date:  2014-05-04       Impact factor: 3.411

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