Background: The 2 cofactors in the etiology of Burkitt lymphoma (BL) are Epstein-Barr virus (EBV) and repeated Plasmodium falciparum malaria infections. This study evaluated EBV loads in mucosal and systemic compartments of children with malaria and controls. Age was analyzed as a covariate because immunity to malaria in endemic regions is age dependent.

Methods: Children (2-10 years) with clinical malaria from Western Kenya and community controls without malaria were enrolled. Saliva and blood samples were collected, EBV viral load was assessed by quantitative polymerase chain reaction, and EpiTYPER MassARRAY was used to assess methylation of 3 different EBV genes.

Results: Regardless of the compartment, we detected EBV more frequently in malaria cases compared to controls, although the difference was not significant. When EBV was detected, there were no differences in viral load between cases and controls. However, EBV methylation was significantly lower in the malaria group compared to controls in both plasma and saliva (P < .05), indicating increased EBV lytic replication. In younger children before development of immunity to malaria, there was a significant effect of malaria on EBV load in peripheral blood mononuclear cells (P = .04).

Conclusions: These data suggest that malaria can directly modulate EBV persistence in children, increasing their risk for BL.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10786253PMC
http://dx.doi.org/10.1093/infdis/jiad264DOI Listing

Publication Analysis

Top Keywords

malaria
11
ebv
10
epstein-barr virus
8
immunity malaria
8
viral load
8
compared controls
8
children
5
controls
5
malaria infection
4
infection epstein-barr
4

Similar Publications

Worldwide elimination of malaria remains a challenge yet to be accomplished, and the domain of malaria relapse equally remains obtuse. Yet sophisticated cell culture and screening techniques and animal models are being constructed and molecular regulations are discovered in this intriguing discipline. An elaborate understanding of these schemes is mandatory to conceive effective therapeutic strategies.

View Article and Find Full Text PDF

Background: Malaria and anemia are significant public health concerns that contribute to child mortality in African. Despite global efforts to control the two diseases, their prevalence in high-risk regions like Nigeria remains high. Understanding socioeconomic, demographic, and geographical factors associated with malaria and anemia, is critical for effective intervention strategies.

View Article and Find Full Text PDF

transcription factor AP2-06B is mutated at high frequency in Southeast Asia but does not associate with drug resistance.

Front Cell Infect Microbiol

January 2025

National Health Commission Key Laboratory of Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, Jiangsu Institute of Parasitic Diseases, Wuxi, China.

Introduction: A continuing challenge for malaria control is the ability of to develop resistance to antimalarial drugs. Members within the transcription factor family AP2 regulate the growth and development of the parasite, and are also thought to be involved in unclear aspects of drug resistance. Here we screened for single nucleotide polymorphisms (SNPs) within the AP2 family and identified 6 non-synonymous mutations within AP2-06B (PF3D7_0613800), with allele frequencies greater than 0.

View Article and Find Full Text PDF

Editorial: Novel pharmacological targets and strategies to treat neglected global diseases (NGDs): an LMIC perspective.

Front Pharmacol

January 2025

Computational Biology and Chemistry Research Group, Vicerrectorado de Investigación, Universidad Católica de Santa María, Arequipa, Peru.

View Article and Find Full Text PDF

Objectives: This study analyzes survey data across 21 countries to explore correlations between delays in blood testing and the prevalence of seven health conditions: thalassaemias, sickle cell disorders, malaria, HIV, high fasting plasma glucose, impaired kidney function, and high LDL cholesterol.

Methods: We analyzed Pandemic Recovery Survey data via multivariable logistic regression to compare blood test delays between individuals with and without medical conditions, while adjusting for sociodemographic factors. We also examined the disease burden using disability-adjusted life years (DALYs) and summary exposure values (SEV) rates.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!