Differential expression of plasma proteins in pregnant women exposed toPlasmodium falciparummalaria

Author:

Kanoi Bernard N.ORCID,Waweru Harrison,Kobia Francis M.ORCID,Mukala Joseph,Kirira PeterORCID,Mogere DominicORCID,Gallini RadiosaORCID,Åberg Mikael,Vatish ManuORCID,Gitaka JesseORCID,Kamali-Moghaddam Masood

Abstract

AbstractIn sub-Saharan Africa, pregnant women are at greater risk of malaria infection than non-pregnant adult women. The infection may lead to pregnancy-associated malaria (PAM) because of the sequestration ofPlasmodium falciparum-infected erythrocytes in the placental intervillous space. Although there are several tools for diagnosing malaria infection during pregnancy, including blood smear microscopic examination, rapid diagnostic tests, and PCR, there are no tools for detecting placental infection and, by extension, any dysfunction associated with PAM. Thus, PAM, specifically placental infection, can only be confirmed via postnatal placental histopathology. Therefore, there is an urgent need for specific serum biomarkers of PAM. Here, we used the high throughput proximity extension assay to screen plasma from malaria-exposed pregnant women for differentially expressed proteins that can predict PAM or adverse malaria outcomes. Such biomarkers may also elucidate the pathophysiology of PAM. We observed that the IgG Fc receptor IIb (Uniprot ID P31994) and HO-1 (P09601) are consistently highly expressed in malaria-positive samples compared to samples from malaria-negative pregnant women. On the contrary, NRTN (Q99748) and IL-20 (Q9NYY1) were differentially expressed in the malaria-negative women. IL-20 exhibited the highest discriminatory power (AUC = 0.815), indicating a strong association with malaria status. These proteins should be considered for further evaluation as biomarkers of malaria-induced placental dysfunction in pregnant women.

Publisher

Cold Spring Harbor Laboratory

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3