Literature DB >> 33054244

Ultrahigh-Resolution Mass Spectrometry-Based Platform for Plasma Metabolomics Applied to Type 2 Diabetes Research.

Yanlong Zhu1,2, Benjamin Wancewicz1, Michael Schaid3,4, Timothy N Tiambeng5, Kent Wenger1,2, Yutong Jin5, Heino Heyman6, Christopher J Thompson6, Aiko Barsch7, Elizabeth D Cox8, Dawn B Davis3,4, Allan R Brasier9, Michelle E Kimple1,3,4, Ying Ge1,2,5.   

Abstract

Metabolomics-the endpoint of the omics cascade-is increasingly recognized as a preferred method for understanding the ultimate responses of biological systems to stress. Flow injection electrospray (FIE) mass spectrometry (MS) has advantages for untargeted metabolic fingerprinting due to its simplicity and capability for high-throughput screening but requires a high-resolution mass spectrometer to resolve metabolite features. In this study, we developed and validated a high-throughput and highly reproducible metabolomics platform integrating FIE with ultrahigh-resolution Fourier transform ion cyclotron resonance (FTICR) MS for analysis of both polar and nonpolar metabolite features from plasma samples. FIE-FTICR MS enables high-throughput detection of hundreds of metabolite features in a single mass spectrum without a front-end separation step. Using plasma samples from genetically identical obese mice with or without type 2 diabetes (T2D), we validated the intra and intersample reproducibility of our method and its robustness for simultaneously detecting alterations in both polar and nonpolar metabolite features. Only 5 min is needed to acquire an ultra-high resolution mass spectrum in either a positive or negative ionization mode. Approximately 1000 metabolic features were reproducibly detected and annotated in each mouse plasma group. For significantly altered and highly abundant metabolite features, targeted tandem MS (MS/MS) analyses can be applied to confirm their identity. With this integrated platform, we successfully detected over 300 statistically significant metabolic features in T2D mouse plasma as compared to controls and identified new T2D biomarker candidates. This FIE-FTICR MS-based method is of high throughput and highly reproducible with great promise for metabolomics studies toward a better understanding and diagnosis of human diseases.

Entities:  

Keywords:  Fourier transform ion cyclotron resonance mass spectrometry; diabetes; flow injection electrospray; high-throughput platform; metabolite fingerprinting; plasma metabolomics

Mesh:

Year:  2020        PMID: 33054244      PMCID: PMC7775897          DOI: 10.1021/acs.jproteome.0c00510

Source DB:  PubMed          Journal:  J Proteome Res        ISSN: 1535-3893            Impact factor:   4.466


  65 in total

1.  High-throughput, nontargeted metabolite fingerprinting using nominal mass flow injection electrospray mass spectrometry.

Authors:  Manfred Beckmann; David Parker; David P Enot; Emilie Duval; John Draper
Journal:  Nat Protoc       Date:  2008       Impact factor: 13.491

Review 2.  Mass spectrometry strategies in metabolomics.

Authors:  Zhentian Lei; David V Huhman; Lloyd W Sumner
Journal:  J Biol Chem       Date:  2011-06-01       Impact factor: 5.157

3.  The strengths and weaknesses of NMR spectroscopy and mass spectrometry with particular focus on metabolomics research.

Authors:  Abdul-Hamid M Emwas
Journal:  Methods Mol Biol       Date:  2015

4.  A complete workflow for high-resolution spectral-stitching nanoelectrospray direct-infusion mass-spectrometry-based metabolomics and lipidomics.

Authors:  Andrew D Southam; Ralf J M Weber; Jasper Engel; Martin R Jones; Mark R Viant
Journal:  Nat Protoc       Date:  2017-01-12       Impact factor: 13.491

5.  Direct infusion MS-based lipid profiling reveals the pharmacological effects of compound K-reinforced ginsenosides in high-fat diet induced obese mice.

Authors:  Jong Cheol Shon; Hwa-Soo Shin; Yong Ki Seo; Young-Ran Yoon; Heungsop Shin; Kwang-Hyeon Liu
Journal:  J Agric Food Chem       Date:  2015-03-12       Impact factor: 5.279

Review 6.  Global aetiology and epidemiology of type 2 diabetes mellitus and its complications.

Authors:  Yan Zheng; Sylvia H Ley; Frank B Hu
Journal:  Nat Rev Endocrinol       Date:  2017-12-08       Impact factor: 43.330

7.  METLIN: A Technology Platform for Identifying Knowns and Unknowns.

Authors:  Carlos Guijas; J Rafael Montenegro-Burke; Xavier Domingo-Almenara; Amelia Palermo; Benedikt Warth; Gerrit Hermann; Gunda Koellensperger; Tao Huan; Winnie Uritboonthai; Aries E Aisporna; Dennis W Wolan; Mary E Spilker; H Paul Benton; Gary Siuzdak
Journal:  Anal Chem       Date:  2018-02-09       Impact factor: 6.986

8.  Quantitation of acyl-CoA and acylcarnitine esters accumulated during abnormal mitochondrial fatty acid oxidation.

Authors:  R S Kler; S Jackson; K Bartlett; L A Bindoff; S Eaton; M Pourfarzam; F E Frerman; S I Goodman; N J Watmough; D M Turnbull
Journal:  J Biol Chem       Date:  1991-12-05       Impact factor: 5.157

9.  Doping control using high and ultra-high resolution mass spectrometry based non-targeted metabolomics-a case study of salbutamol and budesonide abuse.

Authors:  Agneta Kiss; Marianna Lucio; Aurélie Fildier; Corinne Buisson; Philippe Schmitt-Kopplin; Cécile Cren-Olivé
Journal:  PLoS One       Date:  2013-09-18       Impact factor: 3.240

Review 10.  Heterogeneity in Metabolic Responses to Dietary Fructose.

Authors:  Ruixue Hou; Chinmayee Panda; V Saroja Voruganti
Journal:  Front Genet       Date:  2019-10-31       Impact factor: 4.599

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  3 in total

1.  Multiomics Method Enabled by Sequential Metabolomics and Proteomics for Human Pluripotent Stem-Cell-Derived Cardiomyocytes.

Authors:  Elizabeth F Bayne; Aaron D Simmons; David S Roberts; Yanlong Zhu; Timothy J Aballo; Benjamin Wancewicz; Sean P Palecek; Ying Ge
Journal:  J Proteome Res       Date:  2021-09-09       Impact factor: 5.370

2.  Human Islet Expression Levels of Prostaglandin E2 Synthetic Enzymes, But Not Prostaglandin EP3 Receptor, Are Positively Correlated with Markers of β-Cell Function and Mass in Nondiabetic Obesity.

Authors:  Nathan A Truchan; Rachel J Fenske; Harpreet K Sandhu; Alicia M Weeks; Chinmai Patibandla; Benjamin Wancewicz; Samantha Pabich; Austin Reuter; Jeffrey M Harrington; Allison L Brill; Darby C Peter; Randall Nall; Michael Daniels; Margaret Punt; Cecilia E Kaiser; Elizabeth D Cox; Ying Ge; Dawn B Davis; Michelle E Kimple
Journal:  ACS Pharmacol Transl Sci       Date:  2021-06-16

3.  Systemic Metabolic Alterations Correlate with Islet-Level Prostaglandin E2 Production and Signaling Mechanisms That Predict β-Cell Dysfunction in a Mouse Model of Type 2 Diabetes.

Authors:  Michael D Schaid; Yanlong Zhu; Nicole E Richardson; Chinmai Patibandla; Irene M Ong; Rachel J Fenske; Joshua C Neuman; Erin Guthery; Austin Reuter; Harpreet K Sandhu; Miles H Fuller; Elizabeth D Cox; Dawn B Davis; Brian T Layden; Allan R Brasier; Dudley W Lamming; Ying Ge; Michelle E Kimple
Journal:  Metabolites       Date:  2021-01-16
  3 in total

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