par Lee, Ahwon;Shannon, Casey P;Amenyogbe, Nelly;Bennike, Tue TB;Diray-Arce, Joann;Idoko, Olubukola OT;Gill, Erin E;Ben-Othman, Rym;Pomat, William WS;van Haren, Simon SD;Cao, Kim-Anh Lê;Cox, Momoudou;Darboe, Alansana;Falsafi, Reza;Ferrari, Davide;Harbeson, Daniel DJ;He, Daniel;Bing, Cai;Hinshaw, Samuel SJ;Ndure, Jorjoh;Njie-Jobe, Jainaba;Pettengill, Matthew MA;Richmond, Peter C;Ford, Rebecca;Saleu, Gerard;Masiria, Geraldine;Matlam, John Paul;Kirarock, Wendy;Roberts, Elishia;Malek, Mehrnoush;Sanchez-Schmitz, Guzmán;Singh, Amrit;Angelidou, Asimenia;Smolen, Kinga ;EPIC Consortium, Ryan RR;Brinkman, Al;Ozonoff, Robert REW;Hancock, Anita AHJ;van den Biggelaar, Hanno;Steen, Scott SJ;Tebbutt, Beate;Kampmann, Ofer;Levy, Tobias R;Kollmann,
Référence Nature communications, 10, 1, page (1092)
Publication Publié, 2019-03
Référence Nature communications, 10, 1, page (1092)
Publication Publié, 2019-03
Article révisé par les pairs
Résumé : | Systems biology can unravel complex biology but has not been extensively applied to human newborns, a group highly vulnerable to a wide range of diseases. We optimized methods to extract transcriptomic, proteomic, metabolomic, cytokine/chemokine, and single cell immune phenotyping data from <1 ml of blood, a volume readily obtained from newborns. Indexing to baseline and applying innovative integrative computational methods reveals dramatic changes along a remarkably stable developmental trajectory over the first week of life. This is most evident in changes of interferon and complement pathways, as well as neutrophil-associated signaling. Validated across two independent cohorts of newborns from West Africa and Australasia, a robust and common trajectory emerges, suggesting a purposeful rather than random developmental path. Systems biology and innovative data integration can provide fresh insights into the molecular ontogeny of the first week of life, a dynamic developmental phase that is key for health and disease. |