scholarly journals Animal Models for Small for Gestational Age and Fetal Programing of Adult Disease

2007 ◽  
Vol 68 (3) ◽  
pp. 113-123 ◽  
Author(s):  
Patricia M. Vuguin
Keyword(s):  
Animal Models ◽  
Gestational Age ◽  
Small For Gestational Age ◽  
Adult Disease ◽  
Fetal Programing

A Systematic Review of Placental Biomarkers Predicting Small-for-Gestational-Age Neonates

2018 ◽  
Vol 20 (3) ◽  
pp. 272-283 ◽  
Author(s):  
Rungnapa Ruchob ◽  
Julienne N. Rutherford ◽  
Aleeca F. Bell
Keyword(s):  
Fetal Growth ◽  
Gestational Age ◽  
Small For Gestational Age ◽  
Selection Criteria ◽  
Adult Disease ◽  
Developmental Problems ◽  
Increased Risk ◽  
The Matrix ◽  
Key Factor ◽  
English Articles

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.

Early-Onset Thrombocytopenia in Small-for-Gestational-Age Neonates: A Retrospective Cohort Study

2016 ◽  
Vol 33 (S 01) ◽  
Author(s):  
S. Fustolo-Gunnink ◽  
R. Vlug ◽  
V. Smits-Wintjens ◽  
E. Heckman ◽  
A. Te Pas ◽  
...  
Keyword(s):  
Cohort Study ◽  
Gestational Age ◽  
Small For Gestational Age ◽  
Retrospective Cohort Study ◽  
Early Onset ◽  
Retrospective Cohort
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