Imperial College London
Portrait Picture

Professor Anthony Gordon

Faculty of Medicine, Department of Surgery & Cancer

Chair in Anaesthesia and Critical Care
 
 
 
//

Contact

 

anthony.gordon

 
 
//

Location

 

ICUQueen Elizabeth the Queen Mother Wing (QEQM)St Mary's Campus

//

Summary

 

Publications

Citation

BibTex format

@article{Cano-Gamez:2022:10.1126/scitranslmed.abq4433,
author = {Cano-Gamez, E and Burnham, KL and Goh, C and Allcock, A and Malick, ZH and Overend, L and Kwok, A and Smith, DA and Peters-Sengers, H and Antcliffe, D and GAinS, Investigators and McKechnie, S and Scicluna, BP and van, der Poll T and Gordon, AC and Hinds, CJ and Davenport, EE and Knight, JC and Webster, N and Galley, H and Taylor, J and Hall, S and Addison, J and Roughton, S and Tennant, H and Guleri, A and Waddington, N and Arawwawala, D and Durcan, J and Short, A and Swan, K and Williams, S and Smolen, S and Mitchell-Inwang, C and Gordon, T and Errington, E and Templeton, M and Venatesh, P and Ward, G and McCauley, M and Baudouin, S and Higham, C and Soar, J and Grier, S and Hall, E and Brett, S and Kitson, D and Wilson, R and Mountford, L and Moreno, J and Hall, P and Hewlett, J and McKechnie, S and Garrard, C and Millo, J and Young, D and Hutton, P and Parsons, P and Smiths, A and Faras-Arraya, R and Soar, J and Raymode, P and Thompson, J and Bowrey, S and Kazembe, S and Rich, N an},
doi = {10.1126/scitranslmed.abq4433},
journal = {Science Translational Medicine},
pages = {1--15},
title = {An immune dysfunction score for stratification of patients with acute infection based on whole-blood gene expression.},
url = {http://dx.doi.org/10.1126/scitranslmed.abq4433},
volume = {14},
year = {2022}
}
Download

RIS format (EndNote, RefMan)

TY  - JOUR
AB  - Dysregulated host responses to infection can lead to organ dysfunction and sepsis, causing millions of global deaths each year. To alleviate this burden, improved prognostication and biomarkers of response are urgently needed. We investigated the use of whole-blood transcriptomics for stratification of patients with severe infection by integrating data from 3149 samples from patients with sepsis due to community-acquired pneumonia or fecal peritonitis admitted to intensive care and healthy individuals into a gene expression reference map. We used this map to derive a quantitative sepsis response signature (SRSq) score reflective of immune dysfunction and predictive of clinical outcomes, which can be estimated using a 7- or 12-gene signature. Last, we built a machine learning framework, SepstratifieR, to deploy SRSq in adult and pediatric bacterial and viral sepsis, H1N1 influenza, and COVID-19, demonstrating clinically relevant stratification across diseases and revealing some of the physiological alterations linking immune dysregulation to mortality. Our method enables early identification of individuals with dysfunctional immune profiles, bringing us closer to precision medicine in infection.
AU  - Cano-Gamez,E
AU  - Burnham,KL
AU  - Goh,C
AU  - Allcock,A
AU  - Malick,ZH
AU  - Overend,L
AU  - Kwok,A
AU  - Smith,DA
AU  - Peters-Sengers,H
AU  - Antcliffe,D
AU  - GAinS,Investigators
AU  - McKechnie,S
AU  - Scicluna,BP
AU  - van,der Poll T
AU  - Gordon,AC
AU  - Hinds,CJ
AU  - Davenport,EE
AU  - Knight,JC
AU  - Webster,N
AU  - Galley,H
AU  - Taylor,J
AU  - Hall,S
AU  - Addison,J
AU  - Roughton,S
AU  - Tennant,H
AU  - Guleri,A
AU  - Waddington,N
AU  - Arawwawala,D
AU  - Durcan,J
AU  - Short,A
AU  - Swan,K
AU  - Williams,S
AU  - Smolen,S
AU  - Mitchell-Inwang,C
AU  - Gordon,T
AU  - Errington,E
AU  - Templeton,M
AU  - Venatesh,P
AU  - Ward,G
AU  - McCauley,M
AU  - Baudouin,S
AU  - Higham,C
AU  - Soar,J
AU  - Grier,S
AU  - Hall,E
AU  - Brett,S
AU  - Kitson,D
AU  - Wilson,R
AU  - Mountford,L
AU  - Moreno,J
AU  - Hall,P
AU  - Hewlett,J
AU  - McKechnie,S
AU  - Garrard,C
AU  - Millo,J
AU  - Young,D
AU  - Hutton,P
AU  - Parsons,P
AU  - Smiths,A
AU  - Faras-Arraya,R
AU  - Soar,J
AU  - Raymode,P
AU  - Thompson,J
AU  - Bowrey,S
AU  - Kazembe,S
AU  - Rich,N
AU  - Andreou,P
AU  - Hales,D
AU  - Roberts,E
AU  - Fletcher,S
AU  - Rosbergen,M
AU  - Glister,G
AU  - Cuesta,JM
AU  - Bion,J
AU  - Millar,J
AU  - Perry,EJ
AU  - Willis,H
AU  - Mitchell,N
AU  - Ruel,S
AU  - Carrera,R
AU  - Wilde,J
AU  - Nilson,A
AU  - Lees,S
AU  - Kapila,A
AU  - Jacques,N
AU  - Atkinson,J
AU  - Brown,A
AU  - Prowse,H
AU  - Krige,A
AU  - Bland,M
AU  - Bullock,L
AU  - Harrison,D
AU  - Mills,G
AU  - Humphreys,J
AU  - Armitage,K
AU  - Laha,S
AU  - Baldwin,J
AU  - Walsh,A
AU  - Doherty,N
AU  - Drage,S
AU  - Ortiz-Ruiz,de Gordoa L
AU  - Lowes,S
AU  - Higham,C
AU  - Walsh,H
AU  - Calder,V
AU  - Swan,C
AU  - Payne,H
AU  - Higgins,D
AU  - Andrews,S
AU  - Mappleback,S
AU  - Hind,C
AU  - Garrard,C
AU  - Watson,D
AU  - McLees,E
AU  - Purdy,A
AU  - Stotz,M
AU  - Ochelli-Okpue,A
AU  - Bonner,S
AU  - Whitehead,I
AU  - Hugil,K
AU  - Goodridge,V
AU  - Cawthor,L
AU  - Kuper,M
AU  - Pahary,S
AU  - Bellingan,G
AU  - Marshall,R
AU  - Montgomery,H
AU  - Ryu,JH
AU  - Bercades,G
AU  - Boluda,S
AU  - Bentley,A
AU  - Mccalman,K
AU  - Jefferies,F
AU  - Knight,J
AU  - Davenport,E
AU  - Burnham,K
AU  - Maugeri,N
AU  - Radhakrishnan,J
AU  - Mi,Y
AU  - Allcock,A
AU  - Goh,C
DO  - 10.1126/scitranslmed.abq4433
EP  - 15
PY  - 2022///
SN  - 1946-6234
SP  - 1
TI  - An immune dysfunction score for stratification of patients with acute infection based on whole-blood gene expression.
T2  - Science Translational Medicine
UR  - http://dx.doi.org/10.1126/scitranslmed.abq4433
UR  - https://www.ncbi.nlm.nih.gov/pubmed/36322631
UR  - https://www.science.org/doi/10.1126/scitranslmed.abq4433
UR  - http://hdl.handle.net/10044/1/101145
VL  - 14
ER  -
Download