Dried blood spot measurement of pregnancy-associated plasma protein A (PAPP-A) and free beta-subunit of human chorionic gonadotropin (beta-hCG) from a low-resource setting

J. L. Browne*, P. C. J. I. Schielen, I. Belmouden, J. L. A. Pennings, K. Klipstein-Grobusch

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

ObjectivesThe objectives of the article is to compare pregnancy-associated plasma protein A (PAPP-A) and free -subunit of human chorionic gonadotropin (-hCG) concentrations in dried blood spots (DBSs) with serum of samples obtained from a public hospital in a low-resource setting and to evaluate their stability.

MethodsSerum and DBS samples were obtained by venipuncture and finger prick from 50 pregnant participants in a cohort study in a public hospital in Accra, Ghana. PAPP-A and -hCG concentrations from serum and DBS were measured with an AutoDELFIA (R) (PerkinElmer, PerkinElmer, Turku, Finland) automatic immunoassay. Correlation and Passing-Bablok regression analyses were performed to compare marker levels.

ResultsHigh correlation (>0.9) was observed for PAPP-A and -hCG levels between various sampling techniques. The -hCG concentration was stable between DBS and serum, PAPP-A concentration consistently lower in DBS.

ConclusionOur findings suggest that -hCG can be reliably collected from DBS in low-resource tropical settings. The exact conditions of the clinical workflow necessary for reliable PAPP-A measurement in these settings need to be further developed in the future. These findings could have implications for prenatal screening programs feasibility in low-income and middle-income countries, as DBS provides an alternative minimally invasive sampling method, with advantages in sampling technique, stability, logistics, and potential application in low-resource settings. (c) 2015 John Wiley & Sons, Ltd.

Original languageEnglish
Pages (from-to)592-597
Number of pages6
JournalPrenatal Diagnosis
Volume35
Issue number6
DOIs
Publication statusPublished - Jun 2015

Keywords

  • 1ST-TRIMESTER
  • PREECLAMPSIA
  • PREDICTION
  • BIOMARKERS
  • MARKERS
  • IMPACT

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