Literature DB >> 28675806

The future perspective: metabolomics in laboratory medicine for inborn errors of metabolism.

Yana Sandlers1.   

Abstract

Metabolomics can be described as a simultaneous and comprehensive analysis of small molecules in a biological sample. Recent technological and bioinformatics advances have facilitated large-scale metabolomic studies in many areas, including inborn errors of metabolism (IEMs). Despite significant improvements in the diagnosis and treatment of some IEMs, it is still challenging to understand how genetic variation affects disease progression and susceptibility. In addition, a search for new more personalized therapies and a growing demand for tools to monitor the long-term metabolic effects of existing therapies set the stage for metabolomics integration in preclinical and clinical studies. While targeted metabolomics approach is a common practice in biochemical genetics laboratories for biochemical diagnosis and monitoring of IEMs, applications of untargeted metabolomics in the clinical laboratories are still in infancy, facing some challenges. It is however, expected in the future to dramatically change the scope and utility of the clinical laboratory playing a significant role in patient management. This review provides an overview of targeted and global, large-scale metabolomic studies applied to investigate various IEMs. We discuss an existing and prospective clinical applications of metabolomics in IEMs for better diagnosis and deep understanding of complex metabolic perturbations associated with the etiology of inherited metabolic disorders.
Copyright © 2017 Elsevier Inc. All rights reserved.

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Year:  2017        PMID: 28675806     DOI: 10.1016/j.trsl.2017.06.005

Source DB:  PubMed          Journal:  Transl Res        ISSN: 1878-1810            Impact factor:   7.012


  14 in total

Review 1.  Metabolomics: a challenge for detecting and monitoring inborn errors of metabolism.

Authors:  Michele Mussap; Marco Zaffanello; Vassilios Fanos
Journal:  Ann Transl Med       Date:  2018-09

2.  Global metabolomic profiling reveals hepatic biosignatures that reflect the unique metabolic needs of late-term mother and fetus.

Authors:  Nipun Saini; Manjot Virdee; Kaylee K Helfrich; Sze Ting Cecilia Kwan; Susan M Smith
Journal:  Metabolomics       Date:  2021-02-07       Impact factor: 4.290

Review 3.  Metabolomics in chronic pain research.

Authors:  Shweta Teckchandani; G A Nagana Gowda; Daniel Raftery; Michele Curatolo
Journal:  Eur J Pain       Date:  2020-11-05       Impact factor: 3.931

4.  Molecular Signatures of High-Grade Cervical Lesions.

Authors:  Andreia M Porcari; Fernanda Negrão; Guilherme Lucas Tripodi; Denise Rocha Pitta; Elisabete Aparecida Campos; Douglas Munhoz Montis; Aline M A Martins; Marcos N Eberlin; Sophie F M Derchain
Journal:  Front Oncol       Date:  2018-04-12       Impact factor: 6.244

Review 5.  Precision Medicine for Lysosomal Disorders.

Authors:  Filippo Pinto E Vairo; Diana Rojas Málaga; Francyne Kubaski; Carolina Fischinger Moura de Souza; Fabiano de Oliveira Poswar; Guilherme Baldo; Roberto Giugliani
Journal:  Biomolecules       Date:  2020-07-26

6.  A comprehensive multiplex PCR based exome-sequencing assay for rapid bloodspot confirmation of inborn errors of metabolism.

Authors:  Wenjie Wang; Jianping Yang; Jinjie Xue; Wenjuan Mu; Xiaogang Zhang; Wang Wu; Mengnan Xu; Yuyan Gong; Yiqian Liu; Yu Zhang; Xiaobing Xie; Weiyue Gu; Jigeng Bai; David S Cram
Journal:  BMC Med Genet       Date:  2019-01-06       Impact factor: 2.103

7.  Evaluation of salivary VOC profile composition directed towards oral cancer and oral lesion assessment.

Authors:  Fernanda Monedeiro; Maciej Monedeiro-Milanowski; Hubert Zmysłowski; Bruno Spinosa De Martinis; Bogusław Buszewski
Journal:  Clin Oral Investig       Date:  2021-01-02       Impact factor: 3.573

Review 8.  Application of Metabolomic Tools for Studying Low Molecular-Weight Fraction of Animal Venoms and Poisons.

Authors:  Agnieszka Klupczynska; Magdalena Pawlak; Zenon J Kokot; Jan Matysiak
Journal:  Toxins (Basel)       Date:  2018-07-24       Impact factor: 4.546

9.  Drug Metabolite Cluster-Based Data-Mining Method for Comprehensive Metabolism Study of 5-hydroxy-6,7,3',4'-tetramethoxyflavone in Rats.

Authors:  Yuqi Wang; Xiaodan Mei; Zihan Liu; Jie Li; Xiaoxin Zhang; Shuang Lang; Long Dai; Jiayu Zhang
Journal:  Molecules       Date:  2019-09-09       Impact factor: 4.411

10.  The Metabolomic Profiles of Sera of Mice Infected with Plasmodium berghei and Treated by Effective Fraction of Naja naja oxiana Using 1H Nuclear Magnetic Resonance Spectroscopy.

Authors:  Fateme Hajialiani; Delavar Shahbazzadeh; Fatemeh Maleki; Taher Elmi; Fatemeh Tabatabaie; Zahra Zamani
Journal:  Acta Parasitol       Date:  2021-08-06       Impact factor: 1.440

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