Biomarkers of spontaneous preterm birth: a systematic review of studies using multiplex analysis

Biomarkers of spontaneous preterm birth: a systematic review of studies using multiplex analysis

Author Polettini, Jossimara Google Scholar
Cobo, Teresa Google Scholar
Kacerovsky, Marian Google Scholar
Vinturache, Angela E. Google Scholar
Laudanski, Piotr Google Scholar
Peelen, Myrthe J. C. S. Google Scholar
Helmer, Hanns Google Scholar
Lamont, Ronald F. Google Scholar
Takeda, Jun Google Scholar
Lapointe, Jerome Google Scholar
Torloni, Maria Regina Autor UNIFESP Google Scholar
Zhong, Nanbert Google Scholar
Menon, Ramkumar Google Scholar
Abstract Objective: Despite decades of research on risk indicators of spontaneous preterm birth (PTB), reliable biomarkers are still not available to screen or diagnose high-risk pregnancies. Several biomarkers in maternal and fetal compartments have been mechanistically linked to PTB, but none of them are reliable predictors of pregnancy outcome. This systematic review was conducted to synthesize the knowledge on PTB biomarkers identified using multiplex analysis. Materials and methods: Three electronic databases (PubMed, EMBASE and Web of Science) were searched for studies in any language reporting the use of multiplex assays for maternal biomarkers associated with PTB published from January 2005 to March 2014. Results: Retrieved citations (3631) were screened, and relevant studies (33) were selected for full-text reading. Ten studies were included in the review. Forty-two PTB-related proteins were reported, and RANTES and IL-10 (three studies) followed by MIP-1 beta, GM-CSF, Eotaxin, and TNF-RI (two studies) were reported more than once in maternal serum. However, results could not be combined due to heterogeneity in type of sample, study population, assay, and analysis methods. Conclusion: By this systematic review, we conclude that multiplex assays are a potential technological advancement for identifying biomarkers of PTB, although no single or combination of biomarkers could be identified to predict PTB risk.
Keywords Biological markers
multiplex assay
xmlui.dri2xhtml.METS-1.0.item-coverage Berlin
Language English
Sponsor Hologic, Inc., CA, USA
PREBIC Annual Meeting in Florence, Italy
Date 2017
Published in Journal Of Perinatal Medicine. Berlin, v. 45, n. 1, p. 71-84, 2017.
ISSN 0300-5577 (Sherpa/Romeo, impact factor)
Publisher Walter De Gruyter Gmbh
Extent 71-84
Access rights Closed access
Type Article
Web of Science ID WOS:000393201100010

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