Predicting Spontaneous Preterm Birth Using the Immunome - 03/05/24

Doi : 10.1016/j.clp.2024.02.013

Dorien Feyaerts, PhD, MSc ^a, Ivana Marić, PhD ^b, Petra C. Arck, MD ^c, Jelmer R. Prins, MD, PhD ^d, Nardhy Gomez-Lopez, PhD ^e,^f, Brice Gaudillière, MD, PhD ^a,^g, Ina A. Stelzer, PhD, MSc ^h,^⁎
^a Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University, Stanford, CA 94305, USA
^b Division of Neonatal and Developmental Medicine, Department of Pediatrics, Stanford University School of Medicine, 453 Quarry Road, Palo Alto, CA 94304, USA
^c Department of Obstetrics and Fetal Medicine and Hamburg Center for Translational Immunology, University Medical Center Hamburg-Eppendorf, Martinistrasse 52, 20251 Hamburg, Germany
^d Department of Obstetrics and Gynecology, University of Groningen, University Medical Center Groningen, Postbus 30.001, 9700RB, Groningen, The Netherlands
^e Department of Obstetrics and Gynecology, Washington University School of Medicine, 425 S. Euclid Avenue, St. Louis, MO 63110, USA
^f Department of Pathology and Immunology, Washington University School of Medicine, 425 S. Euclid Avenue, St. Louis, MO 63110, USA
^g Division of Neonatal and Developmental Medicine, Department of Pediatrics, Stanford University School of Medicine, 300 Pasteur Drive, Palo Alto, CA 94304, USA
^h Department of Pathology, University of California San Diego, 9500 Gilman Drive, La Jolla, CA 92093, USA

^∗Corresponding author.

Résumé

Throughout pregnancy, the maternal peripheral circulation contains valuable information reflecting pregnancy progression, detectable as tightly regulated immune dynamics. Local immune processes at the maternal–fetal interface and other reproductive and non-reproductive tissues are likely to be the pacemakers for this peripheral immune “clock.” This cellular immune status of pregnancy can be leveraged for the early risk assessment and prediction of spontaneous preterm birth (sPTB). Systems immunology approaches to sPTB subtypes and cross-tissue (local and peripheral) interactions, as well as integration of multiple biological data modalities promise to improve our understanding of preterm birth pathobiology and identify potential clinically actionable biomarkers.

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Keywords : Spontaneous preterm birth, Spontaneous preterm labor, Maternal immune system, Maternal blood, Multiomics modeling, Single-cell cytometry, Whole blood transcriptome