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oai:fdr.uni-hamburg.de:18030 2026-06-24T10:11:15Z user-uhh

true 3.1 UHH.FDR 10.25592/uhhfdm.18030 Stelzer, Ina Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University, Stanford, CA, USA; 2Department of Pathology, University of California San Diego, La Jolla, CA, USA Gillard, Joshua Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University, Stanford, CA, USA; Department of Medicine, Division of Cardiovascular Medicine, Stanford University, Stanford, CA, USA Urbschat, Christopher 0000-0002-8866-9133 Division of Experimental Feto-Maternal Medicine, Department of Obstetrics and Fetal Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany. Thiele, Kristin 0000-0002-9343-9834 Division of Experimental Feto-Maternal Medicine, Department of Obstetrics and Fetal Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany. Diemert, Anke Department of Obstetrics and Prenatal Medicine, University Medical Center Hamburg-Eppendorf, Germany Gaudillière, Brice Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University, Stanford, CA, USA Arck, Petra 0000-0002-2932-926X Division of Experimental Feto-Maternal Medicine, Department of Obstetrics and Fetal Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany. Universität Hamburg 2025 Human PBMCs, Preterm birth, scRNA-Seq 2025-10-14 https://www.fdr.uni-hamburg.de/record/oai:fdr.uni-hamburg.de:18030 10.25592/uhhfdm.18029 1 Creative Commons Attribution Non Commercial Share Alike 4.0 International Open Access <p>This data set of single cell RNA sequencing&nbsp;was generated from maternal blood samples collected from pregnant women (n=10) in their first and second pregnancy, respectively, either experiencing a healthy term (n=10) or a spontaneous preterm birth (n=10).</p> <p>The analysis of this data set is part of the manuscript entitled &quot;Immunological Maladaptation preceding Spontaneous Preterm Birth in Human Pregnancies&quot; which is currently under consideration for publication with Nature Communications.</p> <p>Abstract:</p> <p>The majority of spontaneous preterm births (sPTB) occurs without identifiable clinical indications or apparent risk factors. A dysregulated maternal immune adaptation at delivery has been associated with sPTB. Yet, a precise understanding of maternal immune dynamics preceding sPTB remains lacking. Here we show, in a nested case-control study within a low-risk, population-based pregnancy cohort, that an abnormal immune adaptation in mothers&#39; blood precedes sPTB by weeks to months and discriminates sPTB cases from full-term controls (AUROC: 0.7). Prominent immunoproteome features include heightened sensitivity to adrenergic signals within myeloid and T cell populations in early pregnancy, followed by increased production of pro-inflammatory cytokines in the third trimester. Transcriptome analysis of single-cell CD4⁺ T cells reveals a Th17-skewed, neuroactive-protein responsive phenotype. Our study provides a multi-omics resource and a conceptual framework for early identification of individuals at increased risk for sPTB with broad translational implications for advancing targeted preventive measures.</p>