Detection of spontaneous preterm birth by maternal urinary volatile organic compound analysis: A prospective cohort study
Accurate prediction of preterm birth is currently challenging, resulting in unnecessary maternal hospital admittance and fetal overexposure to antenatal corticosteroids. Novel biomarkers like volatile organic compounds (VOCs) hold potential for predictive, bed-side clinical applicability. In a proof...
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Frontiers Media S.A.
2022-12-01
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Series: | Frontiers in Pediatrics |
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Online Access: | https://www.frontiersin.org/articles/10.3389/fped.2022.1063248/full |
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author | Emma Ronde Nina M. Frerichs Shauni Brantenaar Sofia El Manouni El Hassani Alfian N. Wicaksono James A. Covington Nanne K. H. De Boer Tim G. De Meij Thomas Hankemeier Irwin K. M. Reiss Sam Schoenmakers |
author_facet | Emma Ronde Nina M. Frerichs Shauni Brantenaar Sofia El Manouni El Hassani Alfian N. Wicaksono James A. Covington Nanne K. H. De Boer Tim G. De Meij Thomas Hankemeier Irwin K. M. Reiss Sam Schoenmakers |
author_sort | Emma Ronde |
collection | DOAJ |
description | Accurate prediction of preterm birth is currently challenging, resulting in unnecessary maternal hospital admittance and fetal overexposure to antenatal corticosteroids. Novel biomarkers like volatile organic compounds (VOCs) hold potential for predictive, bed-side clinical applicability. In a proof of principle study, we aimed to assess the predictive potential of urinary volatile organic compounds in the identification of pregnant women at risk for preterm birth. Urine samples of women with a high risk for preterm birth (≧24 + 0 until 36 + 6 weeks) were collected prospectively and analyzed for VOCs using gas chromatography coupled with an ion mobility spectrometer (GS-IMS). Urinary VOCs of women delivering preterm were compared with urine samples of women with suspicion of preterm birth collected at the same gestation period but delivering at term. Additionally, the results were also interpreted in combination with patient characteristics, such as physical examination at admission, microbial cultures, and placental pathology. In our cohort, we found that urinary VOCs of women admitted for imminent preterm birth were not significantly different in the overall group of women delivering preterm vs. term. However, urinary VOCs of women admitted for imminent preterm birth and delivering between 28 + 0 until 36 + 6 weeks compared to women with a high risk for preterm birth during the same gestation period and eventually delivering at term (>37 + 0 weeks) differed significantly (area under the curve: 0.70). In addition, based on the same urinary VOCs, we could identify women with a confirmed chorioamnionitis (area under the curve: 0.72) and urinary tract infection (area under the curve: 0.97). In conclusion, urinary VOCs hold potential for non-invasive, bedside prediction of preterm birth and on the spot identification of intra-uterine infection and urinary tract infections. We suggest these observations are further explored in larger populations. |
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language | English |
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publishDate | 2022-12-01 |
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spelling | doaj.art-cb9269a63b79463b881454414603f20a2022-12-22T02:58:14ZengFrontiers Media S.A.Frontiers in Pediatrics2296-23602022-12-011010.3389/fped.2022.10632481063248Detection of spontaneous preterm birth by maternal urinary volatile organic compound analysis: A prospective cohort studyEmma Ronde0Nina M. Frerichs1Shauni Brantenaar2Sofia El Manouni El Hassani3Alfian N. Wicaksono4James A. Covington5Nanne K. H. De Boer6Tim G. De Meij7Thomas Hankemeier8Irwin K. M. Reiss9Sam Schoenmakers10Division of Obstetrics and Prenatal Diagnosis, Erasmus University Medical Centre, Rotterdam, NetherlandsDepartment of Pediatric Gastroenterology, Amsterdam University Medical Centre, Amsterdam, NetherlandsDivision of Obstetrics and Prenatal Diagnosis, Erasmus University Medical Centre, Rotterdam, NetherlandsDepartment of Pediatric Gastroenterology, Amsterdam University Medical Centre, Amsterdam, NetherlandsSchool of Engineering, University of Warwick, Coventry, United KingdomSchool of Engineering, University of Warwick, Coventry, United KingdomDepartment of Pediatric Gastroenterology, Amsterdam University Medical Centre, Amsterdam, NetherlandsDepartment of Pediatric Gastroenterology, Amsterdam University Medical Centre, Amsterdam, NetherlandsDivision of Analytical Biosciences, Leiden Academic Centre for Drug Research, Leiden University, Leiden, NetherlandsDepartment of Pediatrics, Division of Neonatology, Erasmus University Medical Centre, Rotterdam, NetherlandsDivision of Obstetrics and Prenatal Diagnosis, Erasmus University Medical Centre, Rotterdam, NetherlandsAccurate prediction of preterm birth is currently challenging, resulting in unnecessary maternal hospital admittance and fetal overexposure to antenatal corticosteroids. Novel biomarkers like volatile organic compounds (VOCs) hold potential for predictive, bed-side clinical applicability. In a proof of principle study, we aimed to assess the predictive potential of urinary volatile organic compounds in the identification of pregnant women at risk for preterm birth. Urine samples of women with a high risk for preterm birth (≧24 + 0 until 36 + 6 weeks) were collected prospectively and analyzed for VOCs using gas chromatography coupled with an ion mobility spectrometer (GS-IMS). Urinary VOCs of women delivering preterm were compared with urine samples of women with suspicion of preterm birth collected at the same gestation period but delivering at term. Additionally, the results were also interpreted in combination with patient characteristics, such as physical examination at admission, microbial cultures, and placental pathology. In our cohort, we found that urinary VOCs of women admitted for imminent preterm birth were not significantly different in the overall group of women delivering preterm vs. term. However, urinary VOCs of women admitted for imminent preterm birth and delivering between 28 + 0 until 36 + 6 weeks compared to women with a high risk for preterm birth during the same gestation period and eventually delivering at term (>37 + 0 weeks) differed significantly (area under the curve: 0.70). In addition, based on the same urinary VOCs, we could identify women with a confirmed chorioamnionitis (area under the curve: 0.72) and urinary tract infection (area under the curve: 0.97). In conclusion, urinary VOCs hold potential for non-invasive, bedside prediction of preterm birth and on the spot identification of intra-uterine infection and urinary tract infections. We suggest these observations are further explored in larger populations.https://www.frontiersin.org/articles/10.3389/fped.2022.1063248/fullpreterm (birth)volatile organic compound (VOC)biomarkersmetabolomemicrobiome |
spellingShingle | Emma Ronde Nina M. Frerichs Shauni Brantenaar Sofia El Manouni El Hassani Alfian N. Wicaksono James A. Covington Nanne K. H. De Boer Tim G. De Meij Thomas Hankemeier Irwin K. M. Reiss Sam Schoenmakers Detection of spontaneous preterm birth by maternal urinary volatile organic compound analysis: A prospective cohort study Frontiers in Pediatrics preterm (birth) volatile organic compound (VOC) biomarkers metabolome microbiome |
title | Detection of spontaneous preterm birth by maternal urinary volatile organic compound analysis: A prospective cohort study |
title_full | Detection of spontaneous preterm birth by maternal urinary volatile organic compound analysis: A prospective cohort study |
title_fullStr | Detection of spontaneous preterm birth by maternal urinary volatile organic compound analysis: A prospective cohort study |
title_full_unstemmed | Detection of spontaneous preterm birth by maternal urinary volatile organic compound analysis: A prospective cohort study |
title_short | Detection of spontaneous preterm birth by maternal urinary volatile organic compound analysis: A prospective cohort study |
title_sort | detection of spontaneous preterm birth by maternal urinary volatile organic compound analysis a prospective cohort study |
topic | preterm (birth) volatile organic compound (VOC) biomarkers metabolome microbiome |
url | https://www.frontiersin.org/articles/10.3389/fped.2022.1063248/full |
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