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Comparative predictive power of serum vs plasma proteomic signatures in feto-maternal medicineAJOG Global Reports at a Glance

Authors :
Camilo Espinosa, BSc
Said Mohammed Ali, MSc
Waqasuddin Khan, PhD
Rasheda Khanam, PhD
Jesmin Pervin, PhD
Joan T. Price, MD
Sayedur Rahman, MBBS
Tarik Hasan, MSc
Salahuddin Ahmed, MBBS
Rubhana Raqib, PhD
Monjur Rahman, MSc
Shaki Aktar, MBBS
Muhammad I. Nisar, MBBS
Javairia Khalid, MSc
Usha Dhingra, MCA
Arup Dutta, MBA
Saikat Deb, PhD
Jeffrey S.A. Stringer, PhD
Ronald J. Wong, PhD
Gary M. Shaw, PhD
David K. Stevenson, MD
Gary L. Darmstadt, MD
Brice Gaudilliere, MD, PhD
Abdullah H. Baqui, PhD
Fyezah Jehan, MBBS
Anisur Rahman, PhD
Sunil Sazawal, PhD
Bellington Vwalika, MD
Nima Aghaeepour, PhD
Martin S. Angst, MD
Source :
AJOG Global Reports, Vol 3, Iss 3, Pp 100244- (2023)
Publication Year :
2023
Publisher :
Elsevier, 2023.

Abstract

BACKGROUND: Blood proteins are frequently measured in serum or plasma, because they provide a wealth of information. Differences in the ex vivo processing of serum and plasma raise concerns that proteomic health and disease signatures derived from serum or plasma differ in content and quality. However, little is known about their respective power to predict feto-maternal health outcomes. Predictive power is a sentinel characteristic to determine the clinical use of biosignatures. OBJECTIVE: This study aimed to compare the power of serum and plasma proteomic signatures to predict a physiological pregnancy outcome. STUDY DESIGN: Paired serum and plasma samples from 73 women were obtained from biorepositories of a multinational prospective cohort study on pregnancy outcomes. Gestational age at the time of sampling was the predicted outcome, because the proteomic signatures have been validated for such a prediction. Multivariate and cross-validated models were independently derived for serum and plasma proteins. RESULTS: A total of 1116 proteins were measured in 88 paired samples from 73 women with a highly multiplexed platform using proximity extension technology (Olink Proteomics Inc, Watertown, MA). The plasma proteomic signature showed a higher predictive power (R=0.64; confidence interval, 0.42–0.79; P=3.5×10-6) than the serum signature (R=0.45; confidence interval, 0.18–0.66; P=2.2×10-3). The serum signature was validated in plasma with a similar predictive power (R=0.58; confidence interval, 0.34–0.75; P=4.8×10-5), whereas the plasma signature was validated in serum with reduced predictive power (R=0.53; confidence interval, 0.27–0.72; P=2.6×10-4). Signature proteins largely overlapped in the serum and plasma, but the strength of association with gestational age was weaker for serum proteins. CONCLUSION: Findings suggest that serum proteomics are less informative than plasma proteomics. They are compatible with the view that the partial ex-vivo degradation and modification of serum proteins during sample processing are an underlying reason. The rationale for collecting and analyzing serum and plasma samples should be carefully considered when deriving proteomic biosignatures to ascertain that specimens of the highest scientific and clinical yield are processed. Findings suggest that plasma is the preferred matrix.

Details

Language :
English
ISSN :
26665778
Volume :
3
Issue :
3
Database :
Directory of Open Access Journals
Journal :
AJOG Global Reports
Publication Type :
Academic Journal
Accession number :
edsdoj.1a00473fe55441eb67ee47e3e9afad2
Document Type :
article
Full Text :
https://doi.org/10.1016/j.xagr.2023.100244