Details

Autor(en) / Beteiligte

• Lee, Amy H
• Shannon, Casey P
• Amenyogbe, Nelly
• Bennike, Tue B
• Diray-Arce, Joann
• Idoko, Olubukola T
• Gill, Erin E
• Ben-Othman, Rym
• Pomat, William S
• van Haren, Simon D
• Cao, Kim-Anh Lê
• Cox, Momoudou
• Darboe, Alansana
• Falsafi, Reza
• Ferrari, Davide
• Harbeson, Daniel J
• He, Daniel
• Bing, Cai
• Hinshaw, Samuel J
• Ndure, Jorjoh
• Njie-Jobe, Jainaba
• Pettengill, Matthew A
• 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 K
• Brinkman, Ryan R
• Ozonoff, Al
• Hancock, Robert E W
• van den Biggelaar, Anita H J
• Steen, Hanno
• Tebbutt, Scott J
• Kampmann, Beate
• Levy, Ofer
• Kollmann, Tobias R

Titel

Dynamic molecular changes during the first week of human life follow a robust developmental trajectory

Ist Teil von

• Nature communications, 2019-03, Vol.10 (1), p.1092-1092, Article 1092

Ort / Verlag

England: Nature Publishing Group

Erscheinungsjahr

2019

Link zum Volltext

Quelle

Alma/SFX Local Collection

Beschreibungen/Notizen

• 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.