دورية أكاديمية
An immune dysfunction score for stratification of patients with acute infection based on whole-blood gene expression
| العنوان: | An immune dysfunction score for stratification of patients with acute infection based on whole-blood gene expression |
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| المؤلفون: | Cano-Gamez, Eddie, Burnham, Katie L., Goh, Cyndi, Allcock, Alice, Malick, Zunaira H., Overend, Lauren, Kwok, Andrew, Smith, David A., Peters-Sengers, Hessel, Antcliffe, David, McKechnie, Stuart, Hall, Sally, Addison, Jenni, Roughton, Sian, Tennant, Heather, Guleri, Achyut, Waddington, Natalia, Arawwawala, Dilshan, Durcan, John, Short, Alasdair, Swan, Karen, Raymode, Parizade, Williams, Sarah, Smolen, Susan, Mitchell-Inwang, Christine, Gordon, Tony, Errington, Emily, Templeton, Maie, Venatesh, Pyda, Ward, Geraldine, McCauley, Marie, Baudouin, Simon, Thompson, Jonathan, Higham, Charley, Soar, Jasmeet, Grier, Sally, Hall, Elaine, Brett, Stephen, Kitson, David, Wilson, Robert, Mountford, Laura, Moreno, Juan, Hall, Peter, Bowrey, Sarah, Hewlett, Jackie, Garrard, Christopher, Millo, Julian, Young, Duncan, Hutton, Paula, Parsons, Penny, Smiths, Alex, Faras-Arraya, Roser, Kazembe, Sandra, Rich, Natalie, Andreou, Prem, Hales, Dawn, Roberts, Emma, Fletcher, Simon, Rosbergen, Melissa, Lowes, Sarah, Glister, Georgina, Moreno Cuesta, Jeronimo, Bion, Julian, Millar, Joanne, Perry, Elsa Jane, Willis, Heather, Mitchell, Natalie, Ruel, Sebastian, Carrera, Ronald, Wilde, Jude, Nilson, Annette, Lees, Sarah, Kapila, Atul, Jacques, Nicola, Atkinson, Jane, Brown, Abby, Prowse, Heather, Krige, Anton, Bland, Martin, Bullock, Lynne, Walsh, Helen, Harrison, Donna, Mills, Gary, Humphreys, John, Armitage, Kelsey, Laha, Shond, Baldwin, Jacqueline, Walsh, Angela, Doherty, Nicola, Drage, Stephen, Ortiz-Ruiz de Gordoa, Laura, Calder, Verity, Swan, Catherine, Payne, Heather, Higgins, David, Andrews, Sarah, Mappleback, Sarah, Hind, Charles, Scicluna, Brendon P., Garrard, Chris, Watson, D., McLees, Eleanor, Purdy, Alice, Stotz, Martin, Ochelli-Okpue, Adaeze, Bonner, Stephen, Whitehead, Iain, Hugil, Keith, Goodridge, Victoria, Poll, Tom van der, Cawthor, Louisa, Kuper, Martin, Pahary, Sheik, Bellingan, Geoffrey, Marshall, Richard, Montgomery, Hugh, Hyun Ryu, Jung, Bercades, Georgia, Boluda, Susan, Bentley, Andrew, Gordon, Anthony C., Mccalman, Katie, Jefferies, Fiona, Knight, Julian, Davenport, Emma, Maugeri, Narelle, Radhakrishnan, Jayachandran, Mi, Yuxin, Hinds, Charles J., Davenport, Emma E., Knight, Julian C., Webster, Nigel, Galley, Helen, Taylor, Jane, GAinS Investigators |
| المساهمون: | GAinS Investigators |
| بيانات النشر: | American Association for the Advancement of Science (AAAS) |
| سنة النشر: | 2022 |
| المجموعة: | University of Malta: OAR@UM / L-Università ta' Malta |
| مصطلحات موضوعية: | COVID-19 (Disease), Genetic regulation, Influenza A virus, H1N1 influenza, Septicemia -- Diagnosis, Genetics |
| الوصف: | 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. ; peer-reviewed |
| نوع الوثيقة: | article in journal/newspaper |
| اللغة: | English |
| العلاقة: | Cano-Gamez, E., Burnham, K. L., Goh, C., Malick, Z. H., Overend, L., Kwok, A., . & Goh, C. (2022). An immune dysfunction score for stratification of patients with acute infection based on whole blood gene expression. Science Translational Medicine, 14(669), 10.1126/scitranslmed.abq4433.; https://www.um.edu.mt/library/oar/handle/123456789/105283Test |
| DOI: | 10.1126/scitranslmed.abq4433 |
| الإتاحة: | https://doi.org/10.1126/scitranslmed.abq4433Test https://www.um.edu.mt/library/oar/handle/123456789/105283Test |
| حقوق: | info:eu-repo/semantics/openAccess ; The copyright of this work belongs to the author(s)/publisher. The rights of this work are as defined by the appropriate Copyright Legislation or as modified by any successive legislation. Users may access this work and can make use of the information contained in accordance with the Copyright Legislation provided that the author must be properly acknowledged. Further distribution or reproduction in any format is prohibited without the prior permission of the copyright holder |
| رقم الانضمام: | edsbas.5C29B5BE |
| قاعدة البيانات: | BASE |
| DOI: | 10.1126/scitranslmed.abq4433 |
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