S'abonner

A multisite study to develop and validate first trimester, circulating microparticle biomarkers for tiered risk stratification of spontaneous preterm birth in nulliparas - 20/02/25

Doi : 10.1016/j.ajog.2024.05.032 
Kevin P. Rosenblatt, MD, PhD a, Zhen Zhang, PhD b, Robert Doss, PhD a, Prem P. Gurnani, MS a, William A. Grobman, MD, MBA c, Robert M. Silver, MD d, Samuel Parry, MD e, Uma M. Reddy, MD, MPH f, Sha Cao, PhD g, David M. Haas, MD, MS h,
a NX Prenatal Inc, Louisville, KY 
b Departments of Pathology and Oncology, Center for Biomarker Discovery and Translation, Johns Hopkins University School of Medicine, Baltimore, MD 
c Department of Obstetrics and Gynecology, The Ohio State University School of Medicine, Columbus, OH 
d Department of Obstetrics and Gynecology, University of Utah School of Medicine, Salt Lake City, UT 
e Department of Obstetrics and Gynecology, University of Pennsylvania School of Medicine, Philadelphia, PA 
f Department of Obstetrics and Gynecology, Columbia University School of Medicine, New York, NY 
g Department of Biostatistics, Indiana University School of Medicine, Indianapolis, IN 
h Department of Obstetrics and Gynecology, Indiana University School of Medicine, Indianapolis, IN 

Corresponding author: David M. Haas, MD, MS.

Abstract

Background

Despite much research, advances in early prediction of spontaneous preterm birth (sPTB) has been slow. The evolving field of circulating microparticle (CMP) biology may identify novel blood-based, and clinically useful, biomarkers.

Objective

To test the ability of a previously identified, 7-marker set of CMP-derived proteins from the first trimester of pregnancy, in the form of an in vitro diagnostic multivariate index assay (IVDMIA), to stratify pregnant patients according to their risk for sPTB.

Study design

We employed a previously validated set of CMP protein biomarkers, utilizing mass spectrometry assays and a nested case-control design in a subset of participants from the Nulliparous Pregnancy Outcomes Study: monitoring mothers-to-be (nuMoM2b). We evaluated these biomarkers in the form of an IVDMIA to predict risk for sPTB at different gestational ages. Plasma samples collected at 9- to 13-weeks’ gestation were analyzed. The IVDMIA assigned subjects to 1 of 3 sPTB risk categories: low risk (LR), moderate risk (MR), or high risk (HR). Independent validation on a set-aside set confirmed the IVDMIA's performance in risk stratification.

Results

Samples from 400 participants from the nuMoM2b cohort were used for the study; of these, 160 delivered<37 weeks and 240 delivered at term. Through Monte Carlo simulation in which the validation results were adjusted based on actual weekly sPTB incidence rates in the nuMoM2b cohort, the IVDMIA stratifications demonstrated statistically significant differences among the risk groups in time-to-event (birth) analysis (P<.0001). The incidence-rate adjusted cumulative risks of sPTB at ≤32 weeks' gestation were 0.4%, 1.6%, and 7.5%, respectively for the LR, MR, and HR groups, respectively. Compared to the LR group, the corresponding risk ratios of the IVDMIA assigned MR and HR group were 4.25 (95% confidence interval [CI] 2.2–7.9) and 19.92 (95% CI 10.4–37.4), respectively.

Conclusion

A first trimester CMP protein biomarker panel can be used to stratify risk for sPTB at different gestational ages. Such a multitiered stratification tool could be used to assess risk early in pregnancy to enable timely clinical management and interventions, and, ultimately, to enable the development of tailored care pathways for sPTB prevention.

Le texte complet de cet article est disponible en PDF.

Video


(5.93 Mo)

Le texte complet de cet article est disponible en PDF.

Key words : biomarker, circulating microparticles, nulliparas, prediction, spontaneous preterm birth


Plan


 K.P.R. and Z.Z. contributed equally to this work.
 K.P.R., R.D., and P.P.G. are employed by NX Prenatal. Z.Z. is a paid consultant to NX Prenatal Inc and contributed to this work in a personal capacity independent of his affiliation with Johns Hopkins University. W.A.G., R.M.S., S.R., U.M.R., S.C., and D.M.H. report no conflict of interest.
 This study was supported by grant funding from the Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD): U10 HD063036, RTI International; U10 HD063072, Case Western Reserve University; U10 HD063047, Columbia University; U10 HD063037, Indiana University; U10 HD063041, University of Pittsburgh; U10 HD063020, Northwestern University; U10 HD063046, University of California Irvine; U10 HD063048, University of Pennsylvania; and U10 HD063053, University of Utah. In addition, support was provided by respective Clinical and Translational Science Institutes to Indiana University (UL1TR001108) and University of California Irvine (UL1TR000153). This content is solely the responsibility of the authors and does not necessarily represent the official views of the NIH. As a cooperative agreement funding mechanism, the NICDH Program Officer was involved in the design of the study but not in the performing of the study, collection of data, or this analysis. NIH employees who are authors on this manuscript were not involved in the primary writing but were involved in the final editing and do satisfy authorship requirements. Funding for all assays were provided by NX Prenatal. NX Prenatal paid for the assays and processing. Analyses were performed independently of NX Prenatal.
 Cite this article as: Rosenblatt KP, Zhang Z, Doss R, et al. A multisite study to develop and validate first trimester, circulating microparticle biomarkers for tiered risk stratification of spontaneous preterm birth in nulliparas. Am J Obstet Gynecol 2025;232:319.e1-21.


© 2024  The Author(s). Publié par Elsevier Masson SAS. Tous droits réservés.
Ajouter à ma bibliothèque Retirer de ma bibliothèque Imprimer
Export

    Export citations

  • Fichier

  • Contenu

Vol 232 - N° 3

P. 319.e1-319.e21 - mars 2025 Retour au numéro
Article précédent Article précédent
  • The ratio of soluble fms-like tyrosine kinase 1 to placental growth factor predicts time to delivery and mode of birth in patients with suspected preeclampsia: a secondary analysis of the INSPIRE trial
  • Catarina R. Palma Dos Reis, Joe O'Sullivan, Eric O. Ohuma, Tim James, Aris T. Papageorghiou, Manu Vatish, Ana Sofia Cerdeira
| Article suivant Article suivant
  • Induction of labor vs expectant management among low-risk patients with 1 prior cesarean delivery
  • Erinma P. Ukoha, Timothy Wen, Uma M. Reddy

Bienvenue sur EM-consulte, la référence des professionnels de santé.
L’accès au texte intégral de cet article nécessite un abonnement.

Déjà abonné à cette revue ?

Elsevier s'engage à rendre ses eBooks accessibles et à se conformer aux lois applicables. Compte tenu de notre vaste bibliothèque de titres, il existe des cas où rendre un livre électronique entièrement accessible présente des défis uniques et l'inclusion de fonctionnalités complètes pourrait transformer sa nature au point de ne plus servir son objectif principal ou d'entraîner un fardeau disproportionné pour l'éditeur. Par conséquent, l'accessibilité de cet eBook peut être limitée. Voir plus

Mon compte


Plateformes Elsevier Masson

Déclaration CNIL

EM-CONSULTE.COM est déclaré à la CNIL, déclaration n° 1286925.

En application de la loi nº78-17 du 6 janvier 1978 relative à l'informatique, aux fichiers et aux libertés, vous disposez des droits d'opposition (art.26 de la loi), d'accès (art.34 à 38 de la loi), et de rectification (art.36 de la loi) des données vous concernant. Ainsi, vous pouvez exiger que soient rectifiées, complétées, clarifiées, mises à jour ou effacées les informations vous concernant qui sont inexactes, incomplètes, équivoques, périmées ou dont la collecte ou l'utilisation ou la conservation est interdite.
Les informations personnelles concernant les visiteurs de notre site, y compris leur identité, sont confidentielles.
Le responsable du site s'engage sur l'honneur à respecter les conditions légales de confidentialité applicables en France et à ne pas divulguer ces informations à des tiers.


Tout le contenu de ce site: Copyright © 2026 Elsevier, ses concédants de licence et ses contributeurs. Tout les droits sont réservés, y compris ceux relatifs à l'exploration de textes et de données, a la formation en IA et aux technologies similaires. Pour tout contenu en libre accès, les conditions de licence Creative Commons s'appliquent.