Rungnapa Ruchob1, Julienne N Rutherford2, Aleeca F Bell2. 1. 1 College of Nursing, University of Illinois at Chicago, Chicago, IL, USA. 2. 2 Department of Women, Children & Family Health Science, College of Nursing, University of Illinois at Chicago, Chicago, IL, USA.
Abstract
BACKGROUND: Neonates born small for gestational age (SGA) face increased risk of neonatal mortality, childhood developmental problems, and adult disease. The placenta is a key factor in SGA development because of its multiple biological processes that underlie fetal growth. However, valid and reliable placental biomarkers of SGA have not been determined. OBJECTIVES: The objective of this article was to systematically identify and review studies examining associations between placental biomarkers and SGA and assess those biomarkers' predictive value. METHODS: Use of the matrix method and the PRISMA guidelines ensured systematic identification of relevant articles based on selection criteria. PubMed, CINAHL, and EMBASE were searched for English articles published in 2005-2016 that addressed relationships between placental biomarkers and SGA. RESULTS: The search captured 466 articles; 13 met selection criteria. The review identified 14 potential placental biomarkers for SGA, with placental growth factor and soluble fms-like tyrosine kinase 1 being the most commonly studied. However, findings for these and other biomarkers have often been contradictory. Thus, no placental biomarkers have been confirmed as reliable for predicting SGA. CONCLUSION: The inconsistent findings suggest low placental biomarker reliability, perhaps due to the multifactorial nature of SGA. This review is novel in its focus on identifying potential placental biomarkers for SGA, producing a better understanding of how placental function underlies fetal growth. Nevertheless, use of placental biomarkers alone may not be adequate for predicting SGA. Therefore, combinations of biomarkers and other predictive tests should be evaluated for their ability to predict risk of SGA.
BACKGROUND: Neonates born small for gestational age (SGA) face increased risk of neonatal mortality, childhood developmental problems, and adult disease. The placenta is a key factor in SGA development because of its multiple biological processes that underlie fetal growth. However, valid and reliable placental biomarkers of SGA have not been determined. OBJECTIVES: The objective of this article was to systematically identify and review studies examining associations between placental biomarkers and SGA and assess those biomarkers' predictive value. METHODS: Use of the matrix method and the PRISMA guidelines ensured systematic identification of relevant articles based on selection criteria. PubMed, CINAHL, and EMBASE were searched for English articles published in 2005-2016 that addressed relationships between placental biomarkers and SGA. RESULTS: The search captured 466 articles; 13 met selection criteria. The review identified 14 potential placental biomarkers for SGA, with placental growth factor and soluble fms-like tyrosine kinase 1 being the most commonly studied. However, findings for these and other biomarkers have often been contradictory. Thus, no placental biomarkers have been confirmed as reliable for predicting SGA. CONCLUSION: The inconsistent findings suggest low placental biomarker reliability, perhaps due to the multifactorial nature of SGA. This review is novel in its focus on identifying potential placental biomarkers for SGA, producing a better understanding of how placental function underlies fetal growth. Nevertheless, use of placental biomarkers alone may not be adequate for predicting SGA. Therefore, combinations of biomarkers and other predictive tests should be evaluated for their ability to predict risk of SGA.
Keywords:
biomarkers; intrauterine growth restriction; neonate; placenta; small for gestational age
Authors: Chileshe M Mabula-Bwalya; Megan E Smithmyer; Humphrey Mwape; Gabriel Chipili; Madelyn Conner; Bellington Vwalika; Kristina De Paris; Jeffrey S A Stringer; Joan T Price Journal: Int J Gynaecol Obstet Date: 2021-08-25 Impact factor: 4.447