Metabolomics profiling for identification of novel potential markers in early prediction of preeclampsia.
<h4>Objective</h4>The first aim was to investigate specific signature patterns of metabolites that are significantly altered in first-trimester serum of women who subsequently developed preeclampsia (PE) compared to healthy pregnancies. The second aim of this study was to examine the pre...
Guardado en:
| Autores principales: | , , , , , , , , , |
|---|---|
| Formato: | article |
| Lenguaje: | EN |
| Publicado: |
Public Library of Science (PLoS)
2014
|
| Materias: | |
| Acceso en línea: | https://doaj.org/article/8c7e6bd7d40044c9992d2599546e2422 |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
| id |
oai:doaj.org-article:8c7e6bd7d40044c9992d2599546e2422 |
|---|---|
| record_format |
dspace |
| spelling |
oai:doaj.org-article:8c7e6bd7d40044c9992d2599546e24222021-11-18T08:17:56ZMetabolomics profiling for identification of novel potential markers in early prediction of preeclampsia.1932-620310.1371/journal.pone.0098540https://doaj.org/article/8c7e6bd7d40044c9992d2599546e24222014-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/24873829/pdf/?tool=EBIhttps://doaj.org/toc/1932-6203<h4>Objective</h4>The first aim was to investigate specific signature patterns of metabolites that are significantly altered in first-trimester serum of women who subsequently developed preeclampsia (PE) compared to healthy pregnancies. The second aim of this study was to examine the predictive performance of the selected metabolites for both early onset [EO-PE] and late onset PE [LO-PE].<h4>Methods</h4>This was a case-control study of maternal serum samples collected between 8+0 and 13+6 weeks of gestation from 167 women who subsequently developed EO-PE n = 68; LO-PE n = 99 and 500 controls with uncomplicated pregnancies. Metabolomics profiling analysis was performed using two methods. One has been optimized to target eicosanoids/oxylipins, which are known inflammation markers and the other targets compounds containing a primary or secondary biogenic amine group. Logistic regression analyses were performed to predict the development of PE using metabolites alone and in combination with first trimester mean arterial pressure (MAP) measurements.<h4>Results</h4>Two metabolites were significantly different between EO-PE and controls (taurine and asparagine) and one in case of LO-PE (glycylglycine). Taurine appeared the most discriminative biomarker and in combination with MAP predicted EO-PE with a detection rate (DR) of 55%, at a false-positive rate (FPR) of 10%.<h4>Conclusion</h4>Our findings suggest a potential role of taurine in both PE pathophysiology and first trimester screening for EO-PE.Sylwia KucMaria P H KosterJeroen L A PenningsThomas HankemeierRuud BergerAmy C HarmsAdrie D DanePeter C J I SchielenGerard H A VisserRob J VreekenPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 9, Iss 5, p e98540 (2014) |
| institution |
DOAJ |
| collection |
DOAJ |
| language |
EN |
| topic |
Medicine R Science Q |
| spellingShingle |
Medicine R Science Q Sylwia Kuc Maria P H Koster Jeroen L A Pennings Thomas Hankemeier Ruud Berger Amy C Harms Adrie D Dane Peter C J I Schielen Gerard H A Visser Rob J Vreeken Metabolomics profiling for identification of novel potential markers in early prediction of preeclampsia. |
| description |
<h4>Objective</h4>The first aim was to investigate specific signature patterns of metabolites that are significantly altered in first-trimester serum of women who subsequently developed preeclampsia (PE) compared to healthy pregnancies. The second aim of this study was to examine the predictive performance of the selected metabolites for both early onset [EO-PE] and late onset PE [LO-PE].<h4>Methods</h4>This was a case-control study of maternal serum samples collected between 8+0 and 13+6 weeks of gestation from 167 women who subsequently developed EO-PE n = 68; LO-PE n = 99 and 500 controls with uncomplicated pregnancies. Metabolomics profiling analysis was performed using two methods. One has been optimized to target eicosanoids/oxylipins, which are known inflammation markers and the other targets compounds containing a primary or secondary biogenic amine group. Logistic regression analyses were performed to predict the development of PE using metabolites alone and in combination with first trimester mean arterial pressure (MAP) measurements.<h4>Results</h4>Two metabolites were significantly different between EO-PE and controls (taurine and asparagine) and one in case of LO-PE (glycylglycine). Taurine appeared the most discriminative biomarker and in combination with MAP predicted EO-PE with a detection rate (DR) of 55%, at a false-positive rate (FPR) of 10%.<h4>Conclusion</h4>Our findings suggest a potential role of taurine in both PE pathophysiology and first trimester screening for EO-PE. |
| format |
article |
| author |
Sylwia Kuc Maria P H Koster Jeroen L A Pennings Thomas Hankemeier Ruud Berger Amy C Harms Adrie D Dane Peter C J I Schielen Gerard H A Visser Rob J Vreeken |
| author_facet |
Sylwia Kuc Maria P H Koster Jeroen L A Pennings Thomas Hankemeier Ruud Berger Amy C Harms Adrie D Dane Peter C J I Schielen Gerard H A Visser Rob J Vreeken |
| author_sort |
Sylwia Kuc |
| title |
Metabolomics profiling for identification of novel potential markers in early prediction of preeclampsia. |
| title_short |
Metabolomics profiling for identification of novel potential markers in early prediction of preeclampsia. |
| title_full |
Metabolomics profiling for identification of novel potential markers in early prediction of preeclampsia. |
| title_fullStr |
Metabolomics profiling for identification of novel potential markers in early prediction of preeclampsia. |
| title_full_unstemmed |
Metabolomics profiling for identification of novel potential markers in early prediction of preeclampsia. |
| title_sort |
metabolomics profiling for identification of novel potential markers in early prediction of preeclampsia. |
| publisher |
Public Library of Science (PLoS) |
| publishDate |
2014 |
| url |
https://doaj.org/article/8c7e6bd7d40044c9992d2599546e2422 |
| work_keys_str_mv |
AT sylwiakuc metabolomicsprofilingforidentificationofnovelpotentialmarkersinearlypredictionofpreeclampsia AT mariaphkoster metabolomicsprofilingforidentificationofnovelpotentialmarkersinearlypredictionofpreeclampsia AT jeroenlapennings metabolomicsprofilingforidentificationofnovelpotentialmarkersinearlypredictionofpreeclampsia AT thomashankemeier metabolomicsprofilingforidentificationofnovelpotentialmarkersinearlypredictionofpreeclampsia AT ruudberger metabolomicsprofilingforidentificationofnovelpotentialmarkersinearlypredictionofpreeclampsia AT amycharms metabolomicsprofilingforidentificationofnovelpotentialmarkersinearlypredictionofpreeclampsia AT adrieddane metabolomicsprofilingforidentificationofnovelpotentialmarkersinearlypredictionofpreeclampsia AT petercjischielen metabolomicsprofilingforidentificationofnovelpotentialmarkersinearlypredictionofpreeclampsia AT gerardhavisser metabolomicsprofilingforidentificationofnovelpotentialmarkersinearlypredictionofpreeclampsia AT robjvreeken metabolomicsprofilingforidentificationofnovelpotentialmarkersinearlypredictionofpreeclampsia |
| _version_ |
1718421937497047040 |