The road to precision medicine in sepsis: blood transcriptome endotypes

Affiliations

¹ CIBER de Enfermedades Respiratorias, Instituto de Salud Carlos III, Madrid, Spain; Research Unit, Hospital Universitario Nuestra Señora de Candelaria, Tenerife 38010, Spain; Instituto Tecnológico y de Energías Renovables (ITER), Tenerife, Spain. Electronic address: cflores@ull.edu.es.
² CIBER de Enfermedades Respiratorias, Instituto de Salud Carlos III, Madrid, Spain; Research Unit, Hospital Universitario Dr Negrín, Gran Canaria, Spain; Keenan Research Center for Biomedical Science at the Li Ka Shing Knowledge Institute, St Michael's Hospital, Toronto, ON, Canada.

Comment

Carlos Flores et al. Lancet Respir Med. 2017 Oct.

. 2017 Oct;5(10):767-768.

doi: 10.1016/S2213-2600(17)30297-7. Epub 2017 Aug 29.

¹ CIBER de Enfermedades Respiratorias, Instituto de Salud Carlos III, Madrid, Spain; Research Unit, Hospital Universitario Nuestra Señora de Candelaria, Tenerife 38010, Spain; Instituto Tecnológico y de Energías Renovables (ITER), Tenerife, Spain. Electronic address: cflores@ull.edu.es.
² CIBER de Enfermedades Respiratorias, Instituto de Salud Carlos III, Madrid, Spain; Research Unit, Hospital Universitario Dr Negrín, Gran Canaria, Spain; Keenan Research Center for Biomedical Science at the Li Ka Shing Knowledge Institute, St Michael's Hospital, Toronto, ON, Canada.

No abstract available

Comment on

Classification of patients with sepsis according to blood genomic endotype: a prospective cohort study.
Scicluna BP, van Vught LA, Zwinderman AH, Wiewel MA, Davenport EE, Burnham KL, Nürnberg P, Schultz MJ, Horn J, Cremer OL, Bonten MJ, Hinds CJ, Wong HR, Knight JC, van der Poll T; MARS consortium. Scicluna BP, et al. Lancet Respir Med. 2017 Oct;5(10):816-826. doi: 10.1016/S2213-2600(17)30294-1. Epub 2017 Aug 29. Lancet Respir Med. 2017. PMID: 28864056