Literature DB >> 34984927

Differentiating children with sepsis with and without acute respiratory distress syndrome using proteomics.

Nadir Yehya1, Hossein Fazelinia2, Deanne M Taylor3,4, Gladys G Lawrence5, Lynn A Spruce2, Jill M Thompson1, Susan S Margulies6, Steven H Seeholzer2, G Scott Worthen4.   

Abstract

Both sepsis and acute respiratory distress syndrome (ARDS) rely on imprecise clinical definitions leading to heterogeneity, which has contributed to negative trials. Because circulating protein/DNA complexes have been implicated in sepsis and ARDS, we aimed to develop a proteomic signature of DNA-bound proteins to discriminate between children with sepsis with and without ARDS. We performed a prospective case-control study in 12 children with sepsis with ARDS matched to 12 children with sepsis without ARDS on age, severity of illness score, and source of infection. We performed co-immunoprecipitation and downstream proteomics in plasma collected ≤ 24 h of intensive care unit admission. Expression profiles were generated, and a random forest classifier was used on differentially expressed proteins to develop a signature which discriminated ARDS. The classifier was tested in six independent blinded samples. Neutrophil and nucleosome proteins were over-represented in ARDS, including two S100A proteins, superoxide dismutase (SOD), and three histones. Random forest produced a 10-protein signature that accurately discriminated between children with sepsis with and without ARDS. This classifier perfectly assigned six independent blinded samples as having ARDS or not. We validated higher expression of the most informative discriminating protein, galectin-3-binding protein, in children with ARDS. Our methodology has applicability to isolation of DNA-bound proteins from plasma. Our results support the premise of a molecular definition of ARDS, and give preliminary insight into why some children with sepsis, but not others, develop ARDS.

Entities:  

Keywords:  ARDS; DAMPs; PARDS; damage-associated molecular patterns; histones

Mesh:

Substances:

Year:  2022        PMID: 34984927      PMCID: PMC8873032          DOI: 10.1152/ajplung.00164.2021

Source DB:  PubMed          Journal:  Am J Physiol Lung Cell Mol Physiol        ISSN: 1040-0605            Impact factor:   5.464


  48 in total

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Journal:  JAMA       Date:  2016-02-23       Impact factor: 56.272

3.  Circulating markers of endothelial and alveolar epithelial dysfunction are associated with mortality in pediatric acute respiratory distress syndrome.

Authors:  Nadir Yehya; Neal J Thomas; Nuala J Meyer; Jason D Christie; Robert A Berg; Susan S Margulies
Journal:  Intensive Care Med       Date:  2016-04-21       Impact factor: 17.440

4.  The MaxQuant computational platform for mass spectrometry-based shotgun proteomics.

Authors:  Stefka Tyanova; Tikira Temu; Juergen Cox
Journal:  Nat Protoc       Date:  2016-10-27       Impact factor: 13.491

5.  Modulation of neutrophil apoptosis by granulocyte colony-stimulating factor and granulocyte/macrophage colony-stimulating factor during the course of acute respiratory distress syndrome.

Authors:  G Matute-Bello; W C Liles; F Radella; K P Steinberg; J T Ruzinski; L D Hudson; T R Martin
Journal:  Crit Care Med       Date:  2000-01       Impact factor: 7.598

6.  Different expression ratio of S100A8/A9 and S100A12 in acute and chronic lung diseases.

Authors:  Eva Lorenz; Marianne S Muhlebach; Philippe A Tessier; Neil E Alexis; R Duncan Hite; Michael C Seeds; David B Peden; Wayne Meredith
Journal:  Respir Med       Date:  2007-12-27       Impact factor: 3.415

7.  Acute respiratory distress syndrome: the Berlin Definition.

Authors:  V Marco Ranieri; Gordon D Rubenfeld; B Taylor Thompson; Niall D Ferguson; Ellen Caldwell; Eddy Fan; Luigi Camporota; Arthur S Slutsky
Journal:  JAMA       Date:  2012-06-20       Impact factor: 56.272

8.  Paediatric acute respiratory distress syndrome incidence and epidemiology (PARDIE): an international, observational study.

Authors:  Robinder G Khemani; Lincoln Smith; Yolanda M Lopez-Fernandez; Jeni Kwok; Rica Morzov; Margaret J Klein; Nadir Yehya; Douglas Willson; Martin C J Kneyber; Jon Lillie; Analia Fernandez; Christopher J L Newth; Philippe Jouvet; Neal J Thomas
Journal:  Lancet Respir Med       Date:  2018-10-22       Impact factor: 30.700

9.  The regulation of EN-RAGE (S100A12) gene expression in human THP-1 macrophages.

Authors:  Takamasa Hasegawa; Atsushi Kosaki; Tatsuji Kimura; Hiroaki Matsubara; Yasukiyo Mori; Mitsuhiko Okigaki; Hiroya Masaki; Nagaoki Toyoda; Megumi Inoue-Shibata; Yutaka Kimura; Mitsushige Nishikawa; Toshiji Iwasaka
Journal:  Atherosclerosis       Date:  2003-12       Impact factor: 5.162

10.  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

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