Literature DB >> 30528273

Plasma Proteome Profiling Reveals Dynamics of Inflammatory and Lipid Homeostasis Markers after Roux-En-Y Gastric Bypass Surgery.

Nicolai J Wewer Albrechtsen1, Philipp E Geyer2, Sophia Doll2, Peter V Treit3, Kirstine N Bojsen-Møller4, Christoffer Martinussen4, Nils B Jørgensen5, Signe S Torekov6, Florian Meier2, Lili Niu7, Alberto Santos7, Eva C Keilhauer3, Jens J Holst6, Sten Madsbad4, Matthias Mann8.   

Abstract

Obesity-related diseases affect half of the global population, and bariatric surgery is one of the few interventions with long-lasting weight loss and cardio-metabolic effects. Here, we investigated the effect of Roux-en-Y gastric bypass surgery on the plasma proteome, hypothesizing that specific proteins or protein patterns may serve as key mediators and markers of the metabolic response. We performed mass spectrometry (MS)-based proteomics on two longitudinal studies encompassing 47 morbidly obese patients, generating quantitative information on more than 1,700 proteins. A global correlation matrix incorporating about 200,000 relationships revealed functional connections between proteins and assigned them to physiological processes. The main classes of significantly altered proteins were markers of systemic inflammation and those involved in lipid metabolism. Our data highlight robust correlative and anti-correlative behaviors of circulating proteins to each other and to clinical parameters. A group of inflammation-related proteins showed distinct inverse relationships to proteins consistently associated with insulin sensitivity.
Copyright © 2018 The Authors. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  biomarker; diabetes; gastric bypass surgery; global correlation profiles; insulin resistance; mass spectrometry; obesity; plasma proteome profiling; serum; shot gun proteomics

Mesh:

Substances:

Year:  2018        PMID: 30528273     DOI: 10.1016/j.cels.2018.10.012

Source DB:  PubMed          Journal:  Cell Syst        ISSN: 2405-4712            Impact factor:   10.304


  20 in total

1.  Mass Spectrometry-Based Plasma Proteomics: Considerations from Sample Collection to Achieving Translational Data.

Authors:  Vera Ignjatovic; Philipp E Geyer; Krishnan K Palaniappan; Jessica E Chaaban; Gilbert S Omenn; Mark S Baker; Eric W Deutsch; Jochen M Schwenk
Journal:  J Proteome Res       Date:  2019-10-11       Impact factor: 4.466

Review 2.  Common and Novel Markers for Measuring Inflammation and Oxidative Stress Ex Vivo in Research and Clinical Practice-Which to Use Regarding Disease Outcomes?

Authors:  Alain Menzel; Hanen Samouda; Francois Dohet; Suva Loap; Mohammed S Ellulu; Torsten Bohn
Journal:  Antioxidants (Basel)       Date:  2021-03-09

3.  Deciphering the Plasma Proteome of Type 2 Diabetes.

Authors:  Mohamed A Elhadad; Christian Jonasson; Cornelia Huth; Rory Wilson; Christian Gieger; Pamela Matias; Harald Grallert; Johannes Graumann; Valerie Gailus-Durner; Wolfgang Rathmann; Christine von Toerne; Stefanie M Hauck; Wolfgang Koenig; Moritz F Sinner; Tudor I Oprea; Karsten Suhre; Barbara Thorand; Kristian Hveem; Annette Peters; Melanie Waldenberger
Journal:  Diabetes       Date:  2020-09-14       Impact factor: 9.461

4.  Ultra-High-Throughput Clinical Proteomics Reveals Classifiers of COVID-19 Infection.

Authors:  Christoph B Messner; Vadim Demichev; Daniel Wendisch; Laura Michalick; Matthew White; Anja Freiwald; Kathrin Textoris-Taube; Spyros I Vernardis; Anna-Sophia Egger; Marco Kreidl; Daniela Ludwig; Christiane Kilian; Federica Agostini; Aleksej Zelezniak; Charlotte Thibeault; Moritz Pfeiffer; Stefan Hippenstiel; Andreas Hocke; Christof von Kalle; Archie Campbell; Caroline Hayward; David J Porteous; Riccardo E Marioni; Claudia Langenberg; Kathryn S Lilley; Wolfgang M Kuebler; Michael Mülleder; Christian Drosten; Norbert Suttorp; Martin Witzenrath; Florian Kurth; Leif Erik Sander; Markus Ralser
Journal:  Cell Syst       Date:  2020-06-02       Impact factor: 10.304

5.  Plasma proteome profiling discovers novel proteins associated with non-alcoholic fatty liver disease.

Authors:  Lili Niu; Philipp E Geyer; Nicolai J Wewer Albrechtsen; Lise L Gluud; Alberto Santos; Sophia Doll; Peter V Treit; Jens J Holst; Filip K Knop; Tina Vilsbøll; Anders Junker; Stephan Sachs; Kerstin Stemmer; Timo D Müller; Matthias H Tschöp; Susanna M Hofmann; Matthias Mann
Journal:  Mol Syst Biol       Date:  2019-03-01       Impact factor: 11.429

6.  Plasma Proteome Profiling to detect and avoid sample-related biases in biomarker studies.

Authors:  Philipp E Geyer; Eugenia Voytik; Peter V Treit; Sophia Doll; Alisa Kleinhempel; Lili Niu; Johannes B Müller; Marie-Luise Buchholtz; Jakob M Bader; Daniel Teupser; Lesca M Holdt; Matthias Mann
Journal:  EMBO Mol Med       Date:  2019-09-30       Impact factor: 12.137

7.  Integrating protein networks and machine learning for disease stratification in the Hereditary Spastic Paraplegias.

Authors:  Nikoleta Vavouraki; James E Tomkins; Eleanna Kara; Henry Houlden; John Hardy; Marcus J Tindall; Patrick A Lewis; Claudia Manzoni
Journal:  iScience       Date:  2021-04-28

8.  Human plasma proteomic profiles indicative of cardiorespiratory fitness.

Authors:  Jeremy M Robbins; Bennet Peterson; Daniela Schranner; Usman A Tahir; Theresa Rienmüller; Shuliang Deng; Michelle J Keyes; Daniel H Katz; Pierre M Jean Beltran; Jacob L Barber; Christian Baumgartner; Steven A Carr; Sujoy Ghosh; Changyu Shen; Lori L Jennings; Robert Ross; Mark A Sarzynski; Claude Bouchard; Robert E Gerszten
Journal:  Nat Metab       Date:  2021-05-27

Review 9.  Recent advances in mass spectrometry based clinical proteomics: applications to cancer research.

Authors:  Andrew Macklin; Shahbaz Khan; Thomas Kislinger
Journal:  Clin Proteomics       Date:  2020-05-24       Impact factor: 3.988

10.  Proteome profiling in cerebrospinal fluid reveals novel biomarkers of Alzheimer's disease.

Authors:  Jakob M Bader; Philipp E Geyer; Johannes B Müller; Maximilian T Strauss; Manja Koch; Frank Leypoldt; Peter Koertvelyessy; Daniel Bittner; Carola G Schipke; Enise I Incesoy; Oliver Peters; Nikolaus Deigendesch; Mikael Simons; Majken K Jensen; Henrik Zetterberg; Matthias Mann
Journal:  Mol Syst Biol       Date:  2020-06       Impact factor: 11.429

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