First trimester HtrA1 maternal plasma level and spontaneous preterm birth.


Journal

The journal of maternal-fetal & neonatal medicine : the official journal of the European Association of Perinatal Medicine, the Federation of Asia and Oceania Perinatal Societies, the International Society of Perinatal Obstetricians
ISSN: 1476-4954
Titre abrégé: J Matern Fetal Neonatal Med
Pays: England
ID NLM: 101136916

Informations de publication

Date de publication:
Feb 2022
Historique:
pubmed: 28 2 2020
medline: 2 2 2022
entrez: 28 2 2020
Statut: ppublish

Résumé

High temperature requirement A1 (HtrA1) is a serine protease detected in maternal plasma and in placental tissues during normal gestation and in various pathological conditions. The purpose of this study was to determine whether the maternal plasma concentration of HtrA1 in first trimester, alone or combined with other maternal factors, can be used to identify women at risk for spontaneous preterm birth (SPTB). This is a cohort study on pregnant women at 12 weeks of gestation recruited between 2014 and 2016 and prospectively followed until delivery. One hundred and fifty-nine women were included in the study: 140 women delivered at term and 19 (11.9%) delivered spontaneously preterm. Plasma samples were assessed for HtrA1 by ELISA and data were compared between women which delivered at term with women which delivered preterm. A multiple logistic regression analysis was used to estimate the independent effect of women's characteristics on the probability of a SPTB. SPTB was significantly associated with log HtrA1 values at 12 weeks of gestation, BMI before pregnancy and physical activity. In particular, the probability of a SPTB increases of 79% for every added unit of log HtrA1, while decreases of 18% for every added unit of BMI. In addition, physical activity was found as an important protective factor. The ROC curve showed that the model had a good accuracy in predicting SPTB, with an AUC equal to 0.83 (95%CI: 0.73-0.91). Maternal plasma HtrA1 may be considered a marker of SPTB. In addition, our model indicates two factors that could be modified to reduce the risk of SPTB, i.e. BMI before pregnancy and maternal physical activity.

Identifiants

pubmed: 32102578
doi: 10.1080/14767058.2020.1732345
doi:

Substances chimiques

High-Temperature Requirement A Serine Peptidase 1 EC 3.4.21.-
HTRA1 protein, human EC 3.4.21.-

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

780-784

Auteurs

Stefano Raffaele Giannubilo (SR)

Clinic of Obstetrics and Gynaecology, Department of Clinical Sciences, Università Politecnica delle Marche, Salesi Hospital, Azienda Ospedaliero Universitaria, Ancona, Italy.

Caterina Licini (C)

Department of Experimental and Clinical Medicine, Università Politecnica delle Marche, Ancona, Italy.

Elena Picchiassi (E)

Department of Biomedical and Surgical Science, Clinic of Obstetrics and Gynecology, University of Perugia, Perugia, Italy.

Federica Tarquini (F)

Department of Biomedical and Surgical Science, Clinic of Obstetrics and Gynecology, University of Perugia, Perugia, Italy.

Giuliana Coata (G)

Department of Biomedical and Surgical Science, Clinic of Obstetrics and Gynecology, University of Perugia, Perugia, Italy.

Sonia Fantone (S)

Department of Experimental and Clinical Medicine, Università Politecnica delle Marche, Ancona, Italy.

Giovanni Tossetta (G)

Clinic of Obstetrics and Gynaecology, Department of Clinical Sciences, Università Politecnica delle Marche, Salesi Hospital, Azienda Ospedaliero Universitaria, Ancona, Italy.
Department of Experimental and Clinical Medicine, Università Politecnica delle Marche, Ancona, Italy.

Andrea Ciavattini (A)

Clinic of Obstetrics and Gynaecology, Department of Clinical Sciences, Università Politecnica delle Marche, Salesi Hospital, Azienda Ospedaliero Universitaria, Ancona, Italy.

Mario Castellucci (M)

Department of Experimental and Clinical Medicine, Università Politecnica delle Marche, Ancona, Italy.

Irene Giardina (I)

Centre of Perinatal and Reproductive Medicine, Department of Obstetrics and Gynecology, University of Perugia, Perugia, Italy.

Rosaria Gesuita (R)

Centre of Epidemiology and Biostatistics, Università Politecnica delle Marche, Ancona, Italy.

Daniela Marzioni (D)

Department of Experimental and Clinical Medicine, Università Politecnica delle Marche, Ancona, Italy.

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Classifications MeSH