Literature DB >> 22648167

Serum metabolomics as a novel diagnostic approach for disease: a systematic review.

Aihua Zhang1, Hui Sun, Xijun Wang.   

Abstract

Metabolomics is a promising "omics" field in systems biology; its objective is comprehensive analysis of low-molecular-weight endogenous metabolites in a biological sample. It could enable mapping of perturbations of early biochemical changes in diseases and hence provide an opportunity to develop predictive biomarkers that could result in earlier intervention and provide valuable insights into the mechanisms of diseases. Because of the possible discovery of clinically relevant biomarkers, metabolomics has potential advantages that routine approaches to clinical diagnosis do not. Monitoring specific metabolite levels in serum, the most commonly used biofluid in metabolomics, has become an important way of detecting the early stages of a disease. Serum is a readily accessible and informative biofluid, making it ideal for early detection of a wide range of diseases, and analysis of serum has several advantages over analysis of other biofluids. Metabolite profiles of serum can be regarded as important indicators of physiological and pathological states and may aid understanding of the mechanism of disease occurrence and progression on the metabolic level, and provide information enabling identification of early and differential metabolic markers of disease. Analysis of these crucial metabolites in serum has become important in monitoring the state of biological organisms and is widely used for diagnosis of disease. Emerging metabolomics will drive serum analysis, facilitate and improve the development of disease treatments, and provide great benefits for public health in the long-term.

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Year:  2012        PMID: 22648167     DOI: 10.1007/s00216-012-6117-1

Source DB:  PubMed          Journal:  Anal Bioanal Chem        ISSN: 1618-2642            Impact factor:   4.142


  62 in total

1.  A Lipidomic and Metabolomic Serum Signature from Nonhuman Primates Exposed to Ionizing Radiation.

Authors:  Evan L Pannkuk; Evagelia C Laiakis; Tytus D Mak; Giuseppe Astarita; Simon Authier; Karen Wong; Albert J Fornace
Journal:  Metabolomics       Date:  2016-03-15       Impact factor: 4.290

2.  Extracellular Vesicles in Metabolism and Metabolic Diseases.

Authors:  Akbar L Marzan; Christina Nedeva; Suresh Mathivanan
Journal:  Subcell Biochem       Date:  2021

3.  Profiling of lipidomics before and after antipsychotic treatment in first-episode psychosis.

Authors:  Liisa Leppik; Madis Parksepp; Sven Janno; Kati Koido; Liina Haring; Eero Vasar; Mihkel Zilmer
Journal:  Eur Arch Psychiatry Clin Neurosci       Date:  2019-01-02       Impact factor: 5.270

Review 4.  The changing landscape of type 1 diabetes: recent developments and future frontiers.

Authors:  Kendra Vehik; Nadim J Ajami; David Hadley; Joseph F Petrosino; Brant R Burkhardt
Journal:  Curr Diab Rep       Date:  2013-10       Impact factor: 4.810

5.  Metabolomic analysis of key regulatory metabolites in hepatitis C virus-infected tree shrews.

Authors:  Hui Sun; Aihua Zhang; Guangli Yan; Chengyu Piao; Weiyun Li; Chang Sun; Xiuhong Wu; Xinghua Li; Yun Chen; Xijun Wang
Journal:  Mol Cell Proteomics       Date:  2012-12-20       Impact factor: 5.911

6.  Nanoparticle-Assisted Removal of Protein in Human Serum for Metabolomics Studies.

Authors:  Bo Zhang; Mouzhe Xie; Lei Bruschweiler-Li; Rafael Brüschweiler
Journal:  Anal Chem       Date:  2015-12-08       Impact factor: 6.986

7.  Metabolomics in toxicology and preclinical research.

Authors:  Tzutzuy Ramirez; Mardas Daneshian; Hennicke Kamp; Frederic Y Bois; Malcolm R Clench; Muireann Coen; Beth Donley; Steven M Fischer; Drew R Ekman; Eric Fabian; Claude Guillou; Joachim Heuer; Helena T Hogberg; Harald Jungnickel; Hector C Keun; Gerhard Krennrich; Eckart Krupp; Andreas Luch; Fozia Noor; Erik Peter; Bjoern Riefke; Mark Seymour; Nigel Skinner; Lena Smirnova; Elwin Verheij; Silvia Wagner; Thomas Hartung; Bennard van Ravenzwaay; Marcel Leist
Journal:  ALTEX       Date:  2013       Impact factor: 6.043

8.  Serum analysis method combining cellulose acetate membrane purification with surface-enhanced Raman spectroscopy for non-invasive HBV screening.

Authors:  Yunchao Xu; Yunyi Wang; Huijin Lin; Xiaokun Liu; Zuci Zheng; Tingyin Wang; Shangyuan Feng
Journal:  IET Nanobiotechnol       Date:  2020-02       Impact factor: 1.847

9.  Effects of Weight Loss and Moderate-Protein, High-Fiber Diet Consumption on the Fasted Serum Metabolome of Cats.

Authors:  Marissa R Pallotto; Patrícia M Oba; Maria R C de Godoy; Kirk L Pappan; Preston R Buff; Kelly S Swanson
Journal:  Metabolites       Date:  2021-05-18

10.  Identification of plasma metabolomic profiling for diagnosis of esophageal squamous-cell carcinoma using an UPLC/TOF/MS platform.

Authors:  Ran Liu; Yuan Peng; Xiaobo Li; Yi Wang; Enchun Pan; Wei Guo; Yuepu Pu; Lihong Yin
Journal:  Int J Mol Sci       Date:  2013-04-24       Impact factor: 5.923

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