Journal ArticleDOI
Using untargeted metabolomics for detecting exposome compounds
TLDR
Untargeted metabolomics should complement targeted methods for quantitative and reliable analysis of exposome compounds in biological matrices and environmental effects on endogenous metabolites can be assessed by accurate and comprehensive exposure analysis.About:
This article is published in Current Opinion in Toxicology.The article was published on 2018-04-01. It has received 30 citations till now. The article focuses on the topics: Exposome.read more
Citations
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Journal ArticleDOI
Software Tools and Approaches for Compound Identification of LC-MS/MS Data in Metabolomics.
TL;DR: Structured elucidation approaches and software that are designed to help during the annotation of unknown compounds, including MS-FINDER, CFM-ID, MetFrag, ChemDistiller and CSI:FingerID are critically discussed.
Journal ArticleDOI
Recent advances in the application of metabolomics for food safety control and food quality analyses
TL;DR: Based on developments in analytical chemistry tools, cheminformatics, and bioinformatics methods, the current applications of metabolomics in food safety, food authenticity and quality, and food traceability are highlighted.
Journal ArticleDOI
Structure Annotation of All Mass Spectra in Untargeted Metabolomics
Ivana Blaženović,Tobias Kind,Michael R. Sa,Jian Ji,Arpana Vaniya,Benjamin Wancewicz,Bryan S. Roberts,Hrvoje Torbašinović,Tack Lee,Sajjan S. Mehta,Megan R. Showalter,Hosook Song,Jessica Kwok,Dieter Jahn,Jayoung Kim,Oliver Fiehn +15 more
TL;DR: All metabolites detected by two untargeted metabolomic assays, hydrophilic interaction chromatography and Exactive HF mass spectrometry, are annotated using the in silico fragmentation tool CSI:FingerID and the new NIST hybrid search to annotate all further compounds (MSI level 3.
Journal ArticleDOI
Recurrent Topics in Mass Spectrometry-Based Metabolomics and Lipidomics-Standardization, Coverage, and Throughput.
Evelyn Rampler,Yasin El Abiead,Harald Schoeny,Mate Rusz,Felina Hildebrand,Veronika Fitz,Gunda Koellensperger +6 more
TL;DR: This work states that improving Coverage, Selectivity, and Reliability in Metabolomics and Lipidomics is a major goal and should be focused on in the coming academic year.
Journal ArticleDOI
A review of environmental metabolism disrupting chemicals and effect biomarkers associating disease risks: Where exposomics meets metabolomics.
Jiachen Sun,Ali Zarifhonarvar,Runcheng Fang,Hua Wang,De-Xiang Xu,Jing Yang,Xiaochen Huang,Daniel Cozzolino,Mingliang Fang,Yichao Huang +9 more
TL;DR: In this article, a comprehensive review of metabolic biomarkers associated with environmental exposure and effect was presented, focusing on metabolic disorders such as diabetes and obesity, which can be influenced by the exposure to contaminants such as endocrine disrupting chemicals (EDCs), along with genetic and lifestyle factors.
References
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Journal ArticleDOI
Advanced glycation end products: sparking the development of diabetic vascular injury.
TL;DR: Because of the emerging evidence about the adverse effects of AGEs on the vasculature of patients with diabetes, a number of different therapies to inhibit A GEs are under investigation.
Journal ArticleDOI
MS-DIAL: data-independent MS/MS deconvolution for comprehensive metabolome analysis.
Hiroshi Tsugawa,Tomas Cajka,Tobias Kind,Yan Ma,Brendan T. Higgins,Kazutaka Ikeda,Mitsuhiro Kanazawa,Jean S. VanderGheynst,Oliver Fiehn,Masanori Arita +9 more
TL;DR: For a reversed-phase LC-MS/MS analysis of nine algal strains, MS-DIAL using an enriched LipidBlast library identified 1,023 lipid compounds, highlighting the chemotaxonomic relationships between theAlgal strains.
Journal ArticleDOI
Complementing the Genome with an “Exposome”: The Outstanding Challenge of Environmental Exposure Measurement in Molecular Epidemiology
TL;DR: The sequencing and mapping of the human genome provides a foundation for the elucidation of gene expression and protein function, and the identification of the biochemical pathways implicated in the natural history of chronic diseases.
Journal ArticleDOI
The Human Serum Metabolome
Nikolaos Psychogios,David Hau,Jun Peng,An Chi Guo,Rupasri Mandal,Souhaila Bouatra,Igor Sinelnikov,Ramanarayan Krishnamurthy,Roman Eisner,Bijaya Gautam,Nelson Young,Jianguo Xia,Craig Knox,Edison Dong,Paul Huang,Zsuzsanna Hollander,Theresa L. Pedersen,Steven R. Smith,Fiona Bamforth,Russell Greiner,Bruce M. McManus,John W. Newman,Theodore L. Goodfriend,David S. Wishart,David S. Wishart +24 more
TL;DR: This work has combined targeted and non-targeted NMR, GC-MS and LC-MS methods with computer-aided literature mining to identify and quantify a comprehensive, if not absolutely complete, set of metabolites commonly detected and quantified (with today's technology) in the human serum metabolome.
Journal ArticleDOI
The advantages and limitations of trait analysis with GWAS: a review
Arthur Korte,Ashley Farlow +1 more
TL;DR: The relevance of biological factors including effect size, sample size, genetic heterogeneity, genomic confounding, linkage disequilibrium and spurious association, and statistical tools to account for these are presented.
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