A Peripheral Immune Signature of Labor Induction.
induction of labor
labor
machine learning
mass cytometry (CyTOF)
parturition
pregnancy
systems immunology
Journal
Frontiers in immunology
ISSN: 1664-3224
Titre abrégé: Front Immunol
Pays: Switzerland
ID NLM: 101560960
Informations de publication
Date de publication:
2021
2021
Historique:
received:
16
06
2021
accepted:
20
08
2021
entrez:
27
9
2021
pubmed:
28
9
2021
medline:
12
1
2022
Statut:
epublish
Résumé
Approximately 1 in 4 pregnant women in the United States undergo labor induction. The onset and establishment of labor, particularly induced labor, is a complex and dynamic process influenced by multiple endocrine, inflammatory, and mechanical factors as well as obstetric and pharmacological interventions. The duration from labor induction to the onset of active labor remains unpredictable. Moreover, prolonged labor is associated with severe complications for the mother and her offspring, most importantly chorioamnionitis, uterine atony, and postpartum hemorrhage. While maternal immune system adaptations that are critical for the maintenance of a healthy pregnancy have been previously characterized, the role of the immune system during the establishment of labor is poorly understood. Understanding maternal immune adaptations during labor initiation can have important ramifications for predicting successful labor induction and labor complications in both induced and spontaneous types of labor. The aim of this study was to characterize labor-associated maternal immune system dynamics from labor induction to the start of active labor. Serial blood samples from fifteen participants were collected immediately prior to labor induction (baseline) and during the latent phase until the start of active labor. Using high-dimensional mass cytometry, a total of 1,059 single-cell immune features were extracted from each sample. A multivariate machine-learning method was employed to characterize the dynamic changes of the maternal immune system after labor induction until the establishment of active labor. A cross-validated linear sparse regression model (least absolute shrinkage and selection operator, LASSO) predicted the minutes since induction of labor with high accuracy (R = 0.86, p = 6.7e-15, RMSE = 277 min). Immune features most informative for the model included STAT5 signaling in central memory CD8
Identifiants
pubmed: 34566984
doi: 10.3389/fimmu.2021.725989
pmc: PMC8458888
doi:
Substances chimiques
STAT Transcription Factors
0
Banques de données
Dryad
['10.5061/dryad.80gb5mkrg']
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
725989Subventions
Organisme : Doris Duke Charitable Foundation
ID : 2018100
Pays : United States
Organisme : NICHD NIH HHS
ID : K99 HD105016
Pays : United States
Organisme : NIGMS NIH HHS
ID : R35 GM138353
Pays : United States
Organisme : NIGMS NIH HHS
ID : R35 GM137936
Pays : United States
Informations de copyright
Copyright © 2021 Ando, Hédou, Feyaerts, Han, Ganio, Tsai, Peterson, Verdonk, Tsai, Marić, Wong, Angst, Aghaeepour, Stevenson, Blumenfeld, Sultan, Carvalho, Stelzer and Gaudillière.
Déclaration de conflit d'intérêts
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
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