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Ademoyegun JK, Aremu SO. Socioeconomic determinants of malaria and hepatitis infections: insights from the Federal Medical Center, Makurdi, North Central, Nigeria. BMC Public Health 2024; 24:3187. [PMID: 39550538 PMCID: PMC11568671 DOI: 10.1186/s12889-024-20666-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2024] [Accepted: 11/07/2024] [Indexed: 11/18/2024] Open
Abstract
BACKGROUND Malaria and hepatitis are prevalent public health issues in Nigeria, significantly impacting health outcomes. Given the importance of the Federal Medical Center, Makurdi, as a key healthcare provider in the region, it is crucial to understand the prevalence and factors associated with these diseases within this setting. This study is designed to address this need, aiming to evaluate the prevalence and risk factors of malaria and hepatitis B and C among patients at the Federal Medical Center, Makurdi. METHODOLOGY A cross-sectional study design was employed, involving the meticulous analysis of patient records and diagnostic data from the Federal Medical Center, Makurdi. Data on malaria and hepatitis B and C prevalence were collected from laboratory reports and patient interviews. Socioeconomic information, including income, education level, and healthcare access, was also gathered. Statistical analyses were performed with utmost care to identify associations between disease prevalence and risk factors. RESULTS The study examined 248 patients at the Federal Medical Centre, Makurdi, assessing malaria, Hepatitis B surface antigen (HBsAg), and Hepatitis C virus (HCV). Malaria prevalence was 52.4%, with higher rates in males (57.7%) than females (47.2%). HBsAg prevalence was 6.9%, and HCV was 4.8%, with no significant differences by sex or marital status. Income level impacted HCV rates, with middle-income individuals showing higher prevalence (21.4%). Malaria was most common in the 26-40 age group (35.4%). DISCUSSION The findings underscore the need for targeted public health interventions. Enhanced access to preventive measures, such as insecticide-treated nets and safer blood transfusion practices, and educational disease prevention programs, are essential. Addressing socioeconomic disparities is crucial for effective disease control. CONCLUSION To mitigate the burden of malaria and hepatitis B and C at the Federal Medical Center, Makurdi, a multifaceted approach is required. Improving preventive measures, healthcare access, and addressing socioeconomic determinants will reduce disease prevalence and improve patient outcomes.
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Affiliation(s)
| | - Stephen Olaide Aremu
- Department of Microbiology, Joseph Sarwuan Tarka University, Benue State, Makurdi, Nigeria.
- Faculty of Medicine, Siberian State Medical University, Tomsk, Russian Federation.
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Huang J, Nabalende H, Camargo MC, Lovett J, Otim I, Legason ID, Ogwang MD, Kerchan P, Kinyera T, Ayers LW, Bhatia K, Goedert JJ, Reynolds SJ, Crompton PD, Moore SC, Moaddel R, Albanes D, Mbulaiteye SM. Plasma metabolites in childhood Burkitt lymphoma cases and cancer-free controls in Uganda. Metabolomics 2024; 20:67. [PMID: 38940866 PMCID: PMC11213758 DOI: 10.1007/s11306-024-02130-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/26/2023] [Accepted: 05/08/2024] [Indexed: 06/29/2024]
Abstract
INTRODUCTION Burkitt lymphoma (BL) is an aggressive non-Hodgkin lymphoma associated with Plasmodium falciparum and Epstein-Barr virus, both of which affect metabolic pathways. The metabolomic patterns of BL is unknown. MATERIALS AND METHODS We measured 627 metabolites in pre-chemotherapy treatment plasma samples from 25 male children (6-11 years) with BL and 25 cancer-free area- and age-frequency-matched male controls from the Epidemiology of Burkitt Lymphoma in East African Children and Minors study in Uganda using liquid chromatography-tandem mass spectrometry. Unconditional, age-adjusted logistic regression analysis was used to estimate odds ratios (ORs) and their 95% confidence intervals (CIs) for the BL association with 1-standard deviation increase in the log-metabolite concentration, adjusting for multiple comparisons using false discovery rate (FDR) thresholds and Bonferroni correction. RESULTS Compared to controls, levels for 42 metabolite concentrations differed in BL cases (FDR < 0.001), including triacylglyceride (18:0_38:6), alpha-aminobutyric acid (AABA), ceramide (d18:1/20:0), phosphatidylcholine ae C40:6 and phosphatidylcholine C38:6 as the top signals associated with BL (ORs = 6.9 to 14.7, P < 2.4✕10- 4). Two metabolites (triacylglyceride (18:0_38:6) and AABA) selected using stepwise logistic regression discriminated BL cases from controls with an area under the curve of 0.97 (95% CI: 0.94, 1.00). CONCLUSION Our findings warrant further examination of plasma metabolites as potential biomarkers for BL risk/diagnosis.
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Affiliation(s)
- Jiaqi Huang
- National Clinical Research Center for Metabolic Diseases, Metabolic Syndrome Research Center, Key Laboratory of Diabetes Immunology, Department of Metabolism and Endocrinology, Ministry of Education, The Second Xiangya Hospital of Central South University, Changsha, Hunan, 410011, China
- Xiangya School of Public Health, Central South University, Changsha, Hunan, 410128, China
- CSU-Sinocare Research Center for Nutrition and Metabolic Health, Changsha, China
| | - Hadijah Nabalende
- EMBLEM Study, St. Mary's Hospital, Lacor, Gulu & African Field Epidemiology Network, Kampala, Uganda
| | - M Constanza Camargo
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, HHS,, 9609 Medical Center Dr, Rm. 6E-118, MSC 3330, Bethesda, MD, 20892, USA
| | - Jacqueline Lovett
- Laboratory of Clinical Investigation, Intramural Research Program, National Institute on Aging, NIH, Baltimore, MD, USA
| | - Isaac Otim
- EMBLEM Study, St. Mary's Hospital, Lacor, Gulu & African Field Epidemiology Network, Kampala, Uganda
| | - Ismail D Legason
- EMBLEM Study, Arua & African Field Epidemiology Network, Kuluva Hospital, Kuluva, Kampala, Uganda
| | - Martin D Ogwang
- EMBLEM Study, St. Mary's Hospital, Lacor, Gulu & African Field Epidemiology Network, Kampala, Uganda
| | - Patrick Kerchan
- EMBLEM Study, Arua & African Field Epidemiology Network, Kuluva Hospital, Kuluva, Kampala, Uganda
| | - Tobias Kinyera
- EMBLEM Study, St. Mary's Hospital, Lacor, Gulu & African Field Epidemiology Network, Kampala, Uganda
| | - Leona W Ayers
- Department of Pathology, The Ohio State University, Columbus, OH, USA
| | - Kishor Bhatia
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, HHS,, 9609 Medical Center Dr, Rm. 6E-118, MSC 3330, Bethesda, MD, 20892, USA
| | - James J Goedert
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, HHS,, 9609 Medical Center Dr, Rm. 6E-118, MSC 3330, Bethesda, MD, 20892, USA
| | - Steven J Reynolds
- Division of Intramural Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Maryland, USA
| | - Peter D Crompton
- Division of Intramural Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Maryland, USA
| | - Steven C Moore
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, HHS,, 9609 Medical Center Dr, Rm. 6E-118, MSC 3330, Bethesda, MD, 20892, USA
| | - Ruin Moaddel
- Laboratory of Clinical Investigation, Intramural Research Program, National Institute on Aging, NIH, Baltimore, MD, USA
| | - Demetrius Albanes
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, HHS,, 9609 Medical Center Dr, Rm. 6E-118, MSC 3330, Bethesda, MD, 20892, USA
| | - Sam M Mbulaiteye
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, HHS,, 9609 Medical Center Dr, Rm. 6E-118, MSC 3330, Bethesda, MD, 20892, USA.
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3
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Nakisuyi J, Bernis M, Ndamira A, Kayini V, Mulumba R, Theophilus P, Agwu E, Lule H. Prevalence and factors associated with malaria, typhoid, and co-infection among febrile children aged six months to twelve years at kampala international university teaching hospital in western Uganda. Heliyon 2023; 9:e19588. [PMID: 37809597 PMCID: PMC10558847 DOI: 10.1016/j.heliyon.2023.e19588] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/01/2023] [Revised: 08/09/2023] [Accepted: 08/28/2023] [Indexed: 10/10/2023] Open
Abstract
Background Paediatric febrile illnesses pose diagnostic challenges in low-income countries. Western Uganda is endemic for both malaria and typhoid but the true prevalence of each individual disease, their co-infections and associated factors are poorly quantified. Objective To determine the prevalence of malaria, typhoid, their co-infection, and associated factors amongst febrile children attending the paediatrics and child health department of Kampala International University Teaching Hospital (KIU-TH) in Western Uganda. Methods Cross-sectional study used a survey questionnaire covering demographics, clinical and behavioural variables. We obtained blood for peripheral films for malaria and cultures for typhoid respectively; from 108 consecutively consented participants. Ethical approval was obtained from KIU-TH research and ethics committee (No. UG-REC-023/201,834). Multivariate regression analysis was performed using Stata 14.0 (StataCorp. 2015) at 95% confidence interval, regarding p < 0.05 as statistically significant. Results Majority of participants were males 62% (n = 67), cared for by their mothers 86.1% (n = 93). The prevalence of malaria was 25% (n = 27). The prevalence of typhoid was 3.7% (n = 4), whereas the prevalence of malaria-typhoid co-infection was 2.8% (n = 3). Using treated water from protected public taps was associated with low malaria-typhoid co-infection [p = 0.04; aOR = 0.05, 95%CI [0.003-0.87], whereas drinking unboiled water from open wells increased the risk for the co-infection [p = 0.037, cOR = 17, 95%CI (1.19-243.25)]. Conclusions The prevalence of blood culture confirmed malaria-typhoid co-infection in children was lower than previously reported in serological studies. These findings emphasize the need to use gold standard diagnostic investigations in epidemiological studies. Educational campaigns should focus on the use of safe water, hygienic hand washing, and proper waste disposal; and should target mothers who mainly take care of these children.
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Affiliation(s)
- Joanitor Nakisuyi
- Department of Paediatrics and Child Health, Faculty of Clinical Medicine and Dentistry, Kampala International University-Western Campus, P.o. Box 71, Bushenyi, Uganda
| | - Melvis Bernis
- Department of Paediatrics and Child Health, Faculty of Clinical Medicine and Dentistry, Kampala International University-Western Campus, P.o. Box 71, Bushenyi, Uganda
| | - Andrew Ndamira
- Department of Paediatrics and Child Health, Faculty of Clinical Medicine and Dentistry, Kampala International University-Western Campus, P.o. Box 71, Bushenyi, Uganda
| | - Vicent Kayini
- Department of Paediatrics and Child Health, Faculty of Clinical Medicine and Dentistry, Kampala International University-Western Campus, P.o. Box 71, Bushenyi, Uganda
| | - Richard Mulumba
- Department of Obstetrics and Gynecology, Faculty of Clinical Medicine and Dentistry, Kampala International University-Western Campus, P.o. Box 71, Bushenyi, Uganda
| | - Pius Theophilus
- Medical Laboratory Science Department, Kampala International University Western Campus, Bushenyi, Uganda
| | - Ezera Agwu
- Departments of Medical Microbiology and Clinical Immunology, Faculty of Medicine, Kabale University, Uganda
| | - Herman Lule
- Faculty of Medicine, Department of Clinical Neurosciences, Turku University Hospital and University of Turku, FI-20014, Turku, Finland
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Baker FS, Wang J, Florez-Vargas O, Brand NR, Ogwang MD, Kerchan P, Reynolds SJ, Tenge CN, Were PA, Kuremu RT, Wekesa WN, Masalu N, Kawira E, Kinyera T, Otim I, Legason ID, Nabalende H, Chagaluka G, Mutalima N, Borgstein E, Liomba GN, Kamiza S, Mkandawire N, Mitambo C, Molyneux EM, Newton R, Prokunina-Olsson L, Mbulaiteye SM. IFNL4 Genotypes and Risk of Childhood Burkitt Lymphoma in East Africa. J Interferon Cytokine Res 2023; 43:394-402. [PMID: 37366802 PMCID: PMC10623078 DOI: 10.1089/jir.2023.0014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2023] [Accepted: 03/20/2023] [Indexed: 06/28/2023] Open
Abstract
Interferon lambda 4 (IFN-λ4) is a novel type-III interferon that can be expressed only by carriers of the genetic variant rs368234815-dG within the first exon of the IFNL4 gene. Genetic inability to produce IFN-λ4 (in carriers of the rs368234815-TT/TT genotype) has been associated with improved clearance of hepatitis C virus (HCV) infection. The IFN-λ4-expressing rs368234815-dG allele (IFNL4-dG) is most common (up to 78%) in West sub-Saharan Africa (SSA), compared to 35% of Europeans and 5% of individuals from East Asia. The negative selection of IFNL4-dG outside Africa suggests that its retention in African populations could provide survival benefits, most likely in children. To explore this hypothesis, we conducted a comprehensive association analysis between IFNL4 genotypes and the risk of childhood Burkitt lymphoma (BL), a lethal infection-associated cancer most common in SSA. We used genetic, epidemiologic, and clinical data for 4,038 children from the Epidemiology of Burkitt Lymphoma in East African Children and Minors (EMBLEM) and the Malawi Infections and Childhood Cancer case-control studies. Generalized linear mixed models fit with the logit link controlling for age, sex, country, P. falciparum infection status, population stratification, and relatedness found no significant association between BL risk and 3 coding genetic variants within IFNL4 (rs368234815, rs117648444, and rs142981501) and their combinations. Because BL occurs in children 6-9 years of age who survived early childhood infections, our results suggest that additional studies should explore the associations of IFNL4-dG allele in younger children. This comprehensive study represents an important baseline in defining the health effects of IFN-λ4 in African populations.
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Affiliation(s)
- Francine S. Baker
- Laboratory of Translational Genomics, National Cancer Institute, Rockville, Maryland, USA
| | - Jeanny Wang
- Laboratory of Translational Genomics, National Cancer Institute, Rockville, Maryland, USA
| | - Oscar Florez-Vargas
- Laboratory of Translational Genomics, National Cancer Institute, Rockville, Maryland, USA
| | - Nathan R. Brand
- Department of Surgery, University of California, San Francisco, California, USA
| | - Martin D. Ogwang
- EMBLEM Study, St. Mary's Hospital, Lacor, Uganda
- EMBLEM Study, African Field Epidemiology Network, Kampala, Uganda
| | - Patrick Kerchan
- EMBLEM Study, African Field Epidemiology Network, Kampala, Uganda
- EMBLEM Study, Kuluva Hospital, Arua, Uganda
| | - Steven J. Reynolds
- Division of Intramural Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Maryland, USA
| | | | - Pamela A. Were
- EMBLEM Study, Academic Model Providing Access To Healthcare (AMPATH), Eldoret, Kenya
| | - Robert T. Kuremu
- EMBLEM Study, Moi University College of Health Sciences, Eldoret, Kenya
| | - Walter N. Wekesa
- EMBLEM Study, Moi University College of Health Sciences, Eldoret, Kenya
| | | | - Esther Kawira
- EMBLEM Study, Shirati Health, Education, and Development Foundation, Shirati, Tanzania
| | - Tobias Kinyera
- EMBLEM Study, St. Mary's Hospital, Lacor, Uganda
- EMBLEM Study, African Field Epidemiology Network, Kampala, Uganda
| | - Isaac Otim
- EMBLEM Study, St. Mary's Hospital, Lacor, Uganda
- EMBLEM Study, African Field Epidemiology Network, Kampala, Uganda
| | - Ismail D. Legason
- EMBLEM Study, African Field Epidemiology Network, Kampala, Uganda
- EMBLEM Study, Kuluva Hospital, Arua, Uganda
| | - Hadijah Nabalende
- EMBLEM Study, St. Mary's Hospital, Lacor, Uganda
- EMBLEM Study, African Field Epidemiology Network, Kampala, Uganda
| | - George Chagaluka
- Department of Pediatrics and Surgery, Kamuzu University of Health Sciences, Blantyre, Malawi
| | - Nora Mutalima
- Epidemiology and Cancer Statistics Group, Department of Health Sciences, University of York, York, United Kingdom
- Cancer Epidemiology Unit, University of Oxford, Oxford, United Kingdom
| | - Eric Borgstein
- Department of Pediatrics and Surgery, Kamuzu University of Health Sciences, Blantyre, Malawi
| | - George N. Liomba
- Department of Pediatrics and Surgery, Kamuzu University of Health Sciences, Blantyre, Malawi
| | - Steve Kamiza
- Department of Pediatrics and Surgery, Kamuzu University of Health Sciences, Blantyre, Malawi
| | - Nyengo Mkandawire
- Department of Pediatrics and Surgery, Kamuzu University of Health Sciences, Blantyre, Malawi
| | | | - Elizabeth M. Molyneux
- Department of Pediatrics and Surgery, Kamuzu University of Health Sciences, Blantyre, Malawi
| | - Robert Newton
- Epidemiology and Cancer Statistics Group, Department of Health Sciences, University of York, York, United Kingdom
| | | | - Sam M. Mbulaiteye
- Laboratory of Translational Genomics, National Cancer Institute, Rockville, Maryland, USA
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5
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Burkitt lymphoma risk shows geographic and temporal associations with Plasmodium falciparum infections in Uganda, Tanzania, and Kenya. Proc Natl Acad Sci U S A 2023; 120:e2211055120. [PMID: 36595676 PMCID: PMC9926229 DOI: 10.1073/pnas.2211055120] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2023] Open
Abstract
Endemic Burkitt lymphoma (eBL) is a pediatric cancer coendemic with malaria in sub-Saharan Africa, suggesting an etiological link between them. However, previous cross-sectional studies of limited geographic areas have not found a convincing association. We used spatially detailed data from the Epidemiology of Burkitt Lymphoma in East African Children and Minors (EMBLEM) study to assess this relationship. EMBLEM is a case-control study of eBL from 2010 through 2016 in six regions of Kenya, Uganda, and Tanzania. To measure the intensity of exposure to the malaria parasite, Plasmodium falciparum, among children in these regions, we used high-resolution spatial data from the Malaria Atlas Project to estimate the annual number of P. falciparum infections from 2000 through 2016 for each of 49 districts within the study region. Cumulative P. falciparum exposure, calculated as the sum of annual infections by birth cohort, varied widely, with a median of 47 estimated infections per child by age 10, ranging from 4 to 315 infections. eBL incidence increased 39% for each 100 additional lifetime P. falciparum infections (95% CI: 6.10 to 81.04%) with the risk peaking among children aged 5 to 11 and declining thereafter. Alternative models using estimated annual P. falciparum infections 0 to 10 y before eBL onset were inconclusive, suggesting that eBL risk is a function of cumulative rather than recent cross-sectional exposure. Our findings provide population-level evidence that eBL is a phenotype related to heavy lifetime exposure to P. falciparum malaria and support emphasizing the link between malaria and eBL.
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Agaba BB, Rugera SP, Mpirirwe R, Atekat M, Okubal S, Masereka K, Erionu M, Adranya B, Nabirwa G, Odong PB, Mukiibi Y, Ssewanyana I, Nabadda S, Muwanguzi E. Asymptomatic malaria infection, associated factors and accuracy of diagnostic tests in a historically high transmission setting in Northern Uganda. Malar J 2022; 21:392. [PMID: 36550492 PMCID: PMC9783970 DOI: 10.1186/s12936-022-04421-1] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2022] [Accepted: 12/17/2022] [Indexed: 12/24/2022] Open
Abstract
BACKGROUND Asymptomatic malaria infections are important parasite reservoirs and could sustain transmission in the population, but they are often unreported. A community-based survey was conducted to investigate the prevalence and factors associated with asymptomatic malaria infections in a historically high transmission setting in northern Uganda. METHODS Using a cross-sectional design, 288 children aged 2-15 years were enrolled and tested for the presence of malaria parasites using rapid diagnostic tests (RDTs) and blood smear microscopy between January to May 2022. Statistical analysis was performed using the exact binomial and Fisher's exact test with p ≤ 0.05 indicating significance. The logistic regression was used to explore factors associated with asymptomatic malaria infections. RESULTS Overall, the prevalence of asymptomatic infection was 34.7% (95% CI 29.2-40.5) with the highest observed in children 5-10 years 45.9% (95% CI 35.0-57.0). Gweri village accounted for 39.1% (95% CI 27.6-51.6) of malaria infections. Median parasite density was 1500 parasites/µl of blood. Plasmodium falciparum was the dominant species (86%) followed by Plasmodium malariae (5%). Factors associated with asymptomatic malaria infection were sleeping under mosquito net (Adjusted Odds Ratio (aOR) 0.27; 95% CI 0.13-0.56), p = 0.001 and presence of village health teams (VHTs) (aOR 0.02; 95% CI 0.01-0.45), p = 0.001. Sensitivity and specificity were higher for the P. falciparum/pLDH RDTs compared to HRP2-only RDTs, 90% (95% CI 86.5-93.5) and 95.2% (95% CI 92.8-97.7), p = 0.001, respectively. CONCLUSION Asymptomatic malaria infections were present in the study population and this varied with place and person in the different age groups. Plasmodium falciparum was the dominant parasite species however the presence of P. malariae and Plasmodium ovale was observed, which may have implication for the choice and deployment of diagnostic tools. Individuals who slept under mosquito net or had presence of functional VHTs were less likely to have asymptomatic malaria infection. P.f/pLDH RDTs performed better than the routinely used HRP2 RDTs. In view of these findings, investigation and reporting of asymptomatic malaria reservoirs through community surveys is recommended for accurate disease burden estimate and better targeting of control.
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Affiliation(s)
- Bosco B. Agaba
- grid.33440.300000 0001 0232 6272Department of Medical Laboratory Science, Mbarara University of Science and Technology, Mbarara, Uganda ,grid.415705.2National Malaria Control Division, Ministry of Health, Kampala, Uganda ,National Malaria Reference Laboratory, Central Public Health Laboratory Services, Kampala, Uganda ,grid.463352.50000 0004 8340 3103Infectious Diseases Research Collaboration, Kampala, Uganda
| | - Simon P. Rugera
- grid.33440.300000 0001 0232 6272Department of Medical Laboratory Science, Mbarara University of Science and Technology, Mbarara, Uganda
| | - Ruth Mpirirwe
- grid.11194.3c0000 0004 0620 0548Department of Statistics, Makerere University, Kampala, Uganda
| | - Martha Atekat
- grid.33440.300000 0001 0232 6272Department of Medical Laboratory Science, Mbarara University of Science and Technology, Mbarara, Uganda
| | - Samuel Okubal
- grid.33440.300000 0001 0232 6272Department of Medical Laboratory Science, Mbarara University of Science and Technology, Mbarara, Uganda
| | - Khalid Masereka
- grid.33440.300000 0001 0232 6272Department of Medical Laboratory Science, Mbarara University of Science and Technology, Mbarara, Uganda
| | - Miseal Erionu
- grid.33440.300000 0001 0232 6272Department of Medical Laboratory Science, Mbarara University of Science and Technology, Mbarara, Uganda
| | - Bosco Adranya
- grid.33440.300000 0001 0232 6272Department of Medical Laboratory Science, Mbarara University of Science and Technology, Mbarara, Uganda
| | - Gertrude Nabirwa
- grid.33440.300000 0001 0232 6272Department of Medical Laboratory Science, Mbarara University of Science and Technology, Mbarara, Uganda
| | - Patrick B. Odong
- grid.33440.300000 0001 0232 6272Department of Medical Laboratory Science, Mbarara University of Science and Technology, Mbarara, Uganda
| | - Yasin Mukiibi
- Uganda Institute of Allied and Management Sciences, Kampala, Uganda
| | - Isaac Ssewanyana
- National Malaria Reference Laboratory, Central Public Health Laboratory Services, Kampala, Uganda ,grid.463352.50000 0004 8340 3103Infectious Diseases Research Collaboration, Kampala, Uganda
| | - Susan Nabadda
- National Malaria Reference Laboratory, Central Public Health Laboratory Services, Kampala, Uganda
| | - Enoch Muwanguzi
- grid.33440.300000 0001 0232 6272Department of Medical Laboratory Science, Mbarara University of Science and Technology, Mbarara, Uganda ,Uganda Institute of Allied and Management Sciences, Kampala, Uganda
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7
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Xian RR, Kinyera T, Otim I, Sampson JN, Nabalende H, Legason ID, Stone J, Ogwang MD, Reynolds SJ, Kerchan P, Bhatia K, Goedert JJ, Mbulaiteye SM, Ambinder RF. Plasma EBV DNA: A Promising Diagnostic Marker for Endemic Burkitt Lymphoma. Front Oncol 2022; 11:804083. [PMID: 34970500 PMCID: PMC8713969 DOI: 10.3389/fonc.2021.804083] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2021] [Accepted: 11/25/2021] [Indexed: 12/13/2022] Open
Abstract
Endemic Burkitt lymphoma (eBL) is the most common childhood cancer in regions of equatorial Africa where P. falciparum malaria is holoendemic. The tumor is consistently associated with Epstein-Barr virus (EBV). Screening for EBV DNA in plasma in a high-risk population in Hong Kong has been shown to be useful in facilitating the early diagnosis of nasopharyngeal carcinoma, another EBV-associated tumor. Here, we investigate plasma EBV as a diagnostic marker for eBL in children in Uganda. We studied plasma specimens from 25 children with eBL and 25 controls matched for age (<3-16 years), gender and geography, including many with asymptomatic P. falciparum infection. These specimens were previously collected under the auspices of the EMBLEM (Epidemiology of Burkitt lymphoma in East African children and minors) study. After cell-free DNA isolation, plasma EBV DNA was measured using a quantitative PCR assay that amplifies the large internal repeats of the EBV genome. All children with eBL had measurable plasma EBV, as compared to 84% of control children. The median plasma EBV DNA level was 5.23 log10 copies/mL (interquartile range 3.54-6.08 log10 copies/mL) in children with eBL. In contrast, the median plasma EBV DNA level was 0.37 log10 copies/mL (interquartile range 0.18-1.05 log10 copies/mL) in children without lymphoma. An EBV threshold of 2.52 log10 copies/mL yielded a sensitivity of.88 and a specificity of 1. The estimated AUC was 0.936 (95% CI: 0.8496 – 1.00) for the corresponding ROC curve. Plasma EBV copy number did not depend on age, gender, or malaria screening status. However, two control children with asymptomatic P. falciparum infection and parasitemia also had high plasma EBV copy number. Our analysis suggests that measurements of EBV copy number in plasma may be useful in identifying children with eBL versus control children. A promising area for future research is the differentiation of high copy number associated with tumor versus high copy number associated with asymptomatic parasitemia.
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Affiliation(s)
- Rena R Xian
- Department of Pathology, Johns Hopkins School of Medicine, Baltimore, MD, United States.,Department of Oncology, Johns Hopkins School of Medicine, Baltimore, MD, United States
| | - Tobias Kinyera
- EMBLEM Study, African Field Epidemiology Network, Kampala, Uganda.,Department of Pediatrics, St. Mary's Hospital Lacor, Gulu, Uganda
| | - Isaac Otim
- EMBLEM Study, African Field Epidemiology Network, Kampala, Uganda.,Department of Pediatrics, St. Mary's Hospital Lacor, Gulu, Uganda
| | - Joshua N Sampson
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, United States
| | - Hadijah Nabalende
- EMBLEM Study, African Field Epidemiology Network, Kampala, Uganda.,Department of Pediatrics, St. Mary's Hospital Lacor, Gulu, Uganda
| | - Ismail D Legason
- EMBLEM Study, African Field Epidemiology Network, Kampala, Uganda.,Department of Pediatrics, St. Mary's Hospital Lacor, Gulu, Uganda
| | - Jennifer Stone
- Department of Oncology, Johns Hopkins School of Medicine, Baltimore, MD, United States
| | - Martin D Ogwang
- EMBLEM Study, African Field Epidemiology Network, Kampala, Uganda.,Department of Pediatrics, St. Mary's Hospital Lacor, Gulu, Uganda
| | - Steven J Reynolds
- Division of Intramural Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, United States
| | - Patrick Kerchan
- EMBLEM Study, African Field Epidemiology Network, Kampala, Uganda.,Children's Ward, Kuluva Hospital, Arua, Uganda
| | - Kishor Bhatia
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, United States
| | - James J Goedert
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, United States
| | - Sam M Mbulaiteye
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, United States
| | - Richard F Ambinder
- Department of Pathology, Johns Hopkins School of Medicine, Baltimore, MD, United States.,Department of Oncology, Johns Hopkins School of Medicine, Baltimore, MD, United States
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8
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Teh RN, Sumbele IUN, Meduke DN, Nkeudem GA, Ojong ST, Teh EA, Kimbi HK. Insecticide-treated net ownership, utilization and knowledge of malaria in children residing in Batoke-Limbe, Mount Cameroon area: effect on malariometric and haematological indices. Malar J 2021; 20:333. [PMID: 34325689 PMCID: PMC8320188 DOI: 10.1186/s12936-021-03860-6] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2020] [Accepted: 07/20/2021] [Indexed: 11/15/2022] Open
Abstract
Background Insecticide-treated nets (ITNs) are the most widely used interventions for malaria control in Africa. The aim of this study was to assess the ownership and utilization of ITNs and the knowledge of malaria and their effects on malariometric and haematological indices in children living in the Mount Cameroon area. Methods A community-based cross-sectional study involving a total of 405 children aged between 6 months and 14 years living in Batoke–Limbe was carried out between July and October 2017. A semi-structured questionnaire was used to document demographic status, knowledge on malaria and ITN ownership and usage. Venous blood sample was collected from each child to determine the prevalence and intensity of parasitaemia by Giemsa-stained microscopy and full blood count by auto haematology analysis to obtain white blood cell (WBC) and red blood cell (RBC) counts, haemoglobin (Hb) level, haematocrit (Hct), mean corpuscular volume (MCV), mean corpuscular haemoglobin (MCH) and mean corpuscular haemoglobin concentration (MCHC). A multilinear regression model was used to determine the relationship between haematological parameter as dependent variable and the independent variables. Results The overall prevalence of parasitaemia, anaemia, knowledge about malaria, ITN ownership, usage and effective usage was 46.7%, 54.7%, 40.7%, 78.8%, 50.9% and 29.9%, respectively. The prevalence of parasitaemia was significantly higher (P < 0.001) in children who ineffectively utilized ITNs (54.9%) than effective users (27.3%). Having knowledge of malaria, negatively correlated with WBC counts (P = 0.005), but positively correlated with Hb levels (P < 0.001), RBC counts (P < 0.001), Hct (P < 0.001), MCV (P < 0.001) and MCH (P < 0.001). ITN use positively correlated with WBC counts (P = 0.005) but negatively with Hb levels (P = 0.004), RBC counts (P = 0.006), and MCH (P < 0.001). Meanwhile, parasitaemia negatively correlated with Hb levels (P = 0.004), RBC counts (P = 0.01), Hct (P = 0.04) and MCHC (P = 0.015). Conclusion There is need for more sensitization on the benefits of using the ITNs to meet up with the intended and expected impact of the free distribution of ITNs. Supplementary Information The online version contains supplementary material available at 10.1186/s12936-021-03860-6.
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Affiliation(s)
- Rene Ning Teh
- Department of Zoology and Animal Physiology, University of Buea, Buea, Cameroon. .,Department of Social Economy and Family Management, Higher Technical Teachers' Training College, University of Buea, Kumba, Cameroon.
| | - Irene Ule Ngole Sumbele
- Department of Zoology and Animal Physiology, University of Buea, Buea, Cameroon.,Department of Microbiology and Immunology, Cornell College of Veterinary Medicine, Ithaca, NY, USA
| | | | - Gillian Asoba Nkeudem
- Department of Zoology and Animal Physiology, University of Buea, Buea, Cameroon.,Department of Social Economy and Family Management, Higher Technical Teachers' Training College, University of Buea, Kumba, Cameroon
| | - Samuel Takang Ojong
- Department of Zoology and Animal Physiology, University of Buea, Buea, Cameroon.,Clinical Diagnostic Laboratory, University of Buea, Buea, Cameroon
| | - Exodus Akwa Teh
- Department of Microbiology, Kenyatta University, Nairobi, Kenya
| | - Helen Kuokuo Kimbi
- Department of Zoology and Animal Physiology, University of Buea, Buea, Cameroon.,Department of Medical Laboratory Sciences, The University of Bamenda, Bambili, Cameroon
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9
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Prusty D, Gupta N, Upadhyay A, Dar A, Naik B, Kumar N, Prajapati VK. Asymptomatic malaria infection prevailing risks for human health and malaria elimination. INFECTION GENETICS AND EVOLUTION 2021; 93:104987. [PMID: 34216796 DOI: 10.1016/j.meegid.2021.104987] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/11/2020] [Revised: 06/23/2021] [Accepted: 06/27/2021] [Indexed: 01/09/2023]
Abstract
There has been a consistent rise in malaria cases in the last few years. The existing malaria control measures are challenged by insecticide resistance in the mosquito vector, drug résistance in parasite populations, and asymptomatic malaria (ASM) in healthy individuals. The absence of apparent malaria symptoms and the presence of low parasitemia makes ASM a hidden reservoir for malaria transmission and an impediment in malaria elimination efforts. This review focuses on ASM in malaria-endemic countries and the past and present research trends from those geographical locations. The harmful impacts of asymptomatic malaria on human health and its contribution to disease transmission are highlighted. We discuss certain crucial genetic changes in the parasite and host immune response necessary for maintaining low parasitemia leading to long-term parasite survival in the host. Since the chronic health effects and the potential roles for disease transmission of ASM remain mostly unknown to significant populations, we offer proposals for developing general awareness. We also suggest advanced technology-based diagnostic methods, and treatment strategies to eliminate ASM.
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Affiliation(s)
- Dhaneswar Prusty
- Department of Biochemistry, School of Life Sciences, Central University of Rajasthan, Bandarsindri, Kishangarh, Ajmer, 305817, Rajasthan, India.
| | - Nidhi Gupta
- Department of Biochemistry, School of Life Sciences, Central University of Rajasthan, Bandarsindri, Kishangarh, Ajmer, 305817, Rajasthan, India
| | - Arun Upadhyay
- Department of Biochemistry, School of Life Sciences, Central University of Rajasthan, Bandarsindri, Kishangarh, Ajmer, 305817, Rajasthan, India
| | - Ashraf Dar
- Department of Biochemistry, University of Kashmir, Hazaratbal, Srinagar 190006, Jammu and Kashmir, India
| | - Biswajit Naik
- Department of Biochemistry, School of Life Sciences, Central University of Rajasthan, Bandarsindri, Kishangarh, Ajmer, 305817, Rajasthan, India
| | - Navin Kumar
- School of Biotechnology, Gautam Buddha University, Greater Noida, 201308, UP, India
| | - Vijay Kumar Prajapati
- Department of Biochemistry, School of Life Sciences, Central University of Rajasthan, Bandarsindri, Kishangarh, Ajmer, 305817, Rajasthan, India
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10
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Appiah GD, Mpimbaza A, Lamorde M, Freeman M, Kajumbula H, Salah Z, Kugeler K, Mikoleit M, White PB, Kapisi J, Borchert J, Sserwanga A, Van Dyne S, Mead P, Kim S, Lauer AC, Winstead A, Manabe YC, Flick RJ, Mintz E. Salmonella Bloodstream Infections in Hospitalized Children with Acute Febrile Illness-Uganda, 2016-2019. Am J Trop Med Hyg 2021; 105:37-46. [PMID: 33999850 DOI: 10.4269/ajtmh.20-1453] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2020] [Accepted: 03/19/2021] [Indexed: 12/23/2022] Open
Abstract
Invasive Salmonella infection is a common cause of acute febrile illness (AFI) among children in sub-Saharan Africa; however, diagnosing Salmonella bacteremia is challenging in settings without blood culture. The Uganda AFI surveillance system includes blood culture-based surveillance for etiologies of bloodstream infection (BSIs) in hospitalized febrile children in Uganda. We analyzed demographic, clinical, blood culture, and antimicrobial resistance data from hospitalized children at six sentinel AFI sites from July 2016 to January 2019. A total of 47,261 children were hospitalized. Median age was 2 years (interquartile range, 1-4) and 26,695 (57%) were male. Of 7,203 blood cultures, 242 (3%) yielded bacterial pathogens including Salmonella (N = 67, 28%), Staphylococcus aureus (N = 40, 17%), Escherichia spp. (N = 25, 10%), Enterococcus spp. (N = 18, 7%), and Klebsiella pneumoniae (N = 17, 7%). Children with BSIs had longer median length of hospitalization (5 days versus 4 days), and a higher case-fatality ratio (13% versus 2%) than children without BSI (all P < 0.001). Children with Salmonella BSIs did not differ significantly in length of hospitalization or mortality from children with BSI resulting from other organisms. Serotype and antimicrobial susceptibility results were available for 49 Salmonella isolates, including 35 (71%) non-typhoidal serotypes and 14 Salmonella serotype Typhi (Typhi). Among Typhi isolates, 10 (71%) were multi-drug resistant and 13 (93%) had decreased ciprofloxacin susceptibility. Salmonella strains, particularly non-typhoidal serotypes and drug-resistant Typhi, were the most common cause of BSI. These data can inform regional Salmonella surveillance in East Africa and guide empiric therapy and prevention in Uganda.
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Affiliation(s)
- Grace D Appiah
- 1Division of Foodborne, Waterborne, and Environmental Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Arthur Mpimbaza
- 2Infectious Disease Research Collaboration, Kampala, Uganda.,3Child Health and Development Center, Makerere University, Kampala, Uganda
| | | | - Molly Freeman
- 1Division of Foodborne, Waterborne, and Environmental Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Henry Kajumbula
- 5Department of Microbiology, Makerere University, Kampala, Uganda
| | - Zainab Salah
- 1Division of Foodborne, Waterborne, and Environmental Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Kiersten Kugeler
- 6Division of Vector-Borne Disease, Centers for Disease Control and Prevention, Fort Collins, Colorado
| | - Matthew Mikoleit
- 7Division of Global Health Protection, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Porscha Bumpus White
- 1Division of Foodborne, Waterborne, and Environmental Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - James Kapisi
- 2Infectious Disease Research Collaboration, Kampala, Uganda
| | - Jeff Borchert
- 6Division of Vector-Borne Disease, Centers for Disease Control and Prevention, Fort Collins, Colorado
| | | | - Susan Van Dyne
- 1Division of Foodborne, Waterborne, and Environmental Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Paul Mead
- 6Division of Vector-Borne Disease, Centers for Disease Control and Prevention, Fort Collins, Colorado
| | - Sunkyung Kim
- 1Division of Foodborne, Waterborne, and Environmental Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Ana C Lauer
- 1Division of Foodborne, Waterborne, and Environmental Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Alison Winstead
- 8Division of Parasitic Disease and Malaria, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Yukari C Manabe
- 9Division of Infectious Diseases, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Robert J Flick
- 9Division of Infectious Diseases, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Eric Mintz
- 1Division of Foodborne, Waterborne, and Environmental Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia
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11
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Guerra CA, Fuseini G, Donfack OT, Smith JM, Ondo Mifumu TA, Akadiri G, Eyang DEM, Eburi CO, Motobe Vaz L, Micha VM, Okenve LA, Janes CR, Andeme RM, Rivas MR, Phiri WP, Slotman MA, Smith DL, García GA. Malaria outbreak in Riaba district, Bioko Island: lessons learned. Malar J 2020; 19:277. [PMID: 32746919 PMCID: PMC7398070 DOI: 10.1186/s12936-020-03347-w] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2020] [Accepted: 07/25/2020] [Indexed: 11/18/2022] Open
Abstract
At the beginning of 2019, a sudden surge of malaria cases was observed in the district of Riaba, Bioko Island. Between January and April, confirmed malaria cases increased 3.8-fold compared to the same period in 2018. Concurrently, anopheline human biting rate (HBR) increased 2.1-fold. During the outbreak, 82.2% of the district population was tested for malaria with a rapid diagnostic test; 37.2% of those tested had a detectable infection and were treated according to national guidelines. Vector control interventions, including indoor residual spraying and larval source management were scaled-up. After the interventions, the number of confirmed cases decreased by 70% and the overall parasite prevalence in the communities by 43.8%. Observed prevalence in a follow up malaria indicator survey, however, was significantly higher than elsewhere on the island, and higher than in previous years. There was no significant reduction in HBR, which remained high for the rest of the year. The surge was attributed to various factors, chiefly increased rainfall and a large number of anthropogenic anopheline breeding sites created by construction works. This case study highlights the need for sustained vector control interventions and multi-sector participation, particularly in malaria control and elimination settings with persistently high local malaria receptivity.
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Affiliation(s)
- Carlos A Guerra
- Medical Care Development International, 8401 Colesville Road, Suite 425, Silver Spring, MD, 20910, USA
| | - Godwin Fuseini
- MedicalCare Development International, Av. Parques de Africa, Malabo, Equatorial Guinea
| | | | - Jordan M Smith
- MedicalCare Development International, Av. Parques de Africa, Malabo, Equatorial Guinea
| | - Teresa Ayingono Ondo Mifumu
- MedicalCare Development International, Av. Parques de Africa, Malabo, Equatorial Guinea.,National Malaria Control Programme, Ministry of Health and Social Welfare, Malabo, Equatorial Guinea
| | - Gninoussa Akadiri
- MedicalCare Development International, Av. Parques de Africa, Malabo, Equatorial Guinea
| | - Delicias Esono Mba Eyang
- MedicalCare Development International, Av. Parques de Africa, Malabo, Equatorial Guinea.,National Malaria Control Programme, Ministry of Health and Social Welfare, Malabo, Equatorial Guinea
| | - Consuelo Oki Eburi
- MedicalCare Development International, Av. Parques de Africa, Malabo, Equatorial Guinea.,National Malaria Control Programme, Ministry of Health and Social Welfare, Malabo, Equatorial Guinea
| | - Liberato Motobe Vaz
- MedicalCare Development International, Av. Parques de Africa, Malabo, Equatorial Guinea
| | - Victor Mba Micha
- MedicalCare Development International, Av. Parques de Africa, Malabo, Equatorial Guinea
| | - Leonor Ada Okenve
- MedicalCare Development International, Av. Parques de Africa, Malabo, Equatorial Guinea.,National Malaria Control Programme, Ministry of Health and Social Welfare, Malabo, Equatorial Guinea
| | - Christopher R Janes
- Department of Entomology, Texas A&M University, TAMU 2475, College Station, TX, 77843, USA
| | - Ramona Mba Andeme
- National Malaria Control Programme, Ministry of Health and Social Welfare, Malabo, Equatorial Guinea
| | - Matilde Riloha Rivas
- National Malaria Control Programme, Ministry of Health and Social Welfare, Malabo, Equatorial Guinea
| | - Wonder P Phiri
- MedicalCare Development International, Av. Parques de Africa, Malabo, Equatorial Guinea
| | - Michel A Slotman
- Department of Entomology, Texas A&M University, TAMU 2475, College Station, TX, 77843, USA
| | - David L Smith
- Institute for Health Metrics and Evaluation, University of Washington, 2301 Fifth Avenue, Seattle, WA, 98121, USA
| | - Guillermo A García
- Medical Care Development International, 8401 Colesville Road, Suite 425, Silver Spring, MD, 20910, USA.
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12
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Redmond LS, Ogwang MD, Kerchan P, Reynolds SJ, Tenge CN, Were PA, Kuremu RT, Masalu N, Kawira E, Otim I, Legason ID, Dhudha H, Ayers LW, Bhatia K, Goedert JJ, Mbulaiteye SM. Endemic Burkitt lymphoma: a complication of asymptomatic malaria in sub-Saharan Africa based on published literature and primary data from Uganda, Tanzania, and Kenya. Malar J 2020; 19:239. [PMID: 32718346 PMCID: PMC7385955 DOI: 10.1186/s12936-020-03312-7] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2020] [Accepted: 06/30/2020] [Indexed: 12/29/2022] Open
Abstract
BACKGROUND Endemic Burkitt lymphoma (eBL) is an aggressive B cell non-Hodgkin lymphoma associated with antigenic stimulation from Plasmodium falciparum malaria. Whether eBL risk is related to malaria parasite density is unknown. To address this issue, children with eBL, asymptomatic and clinical malaria, as a surrogate of malaria parasite density, were assessed. METHODS Malaria-related laboratory results (parasite density, haemoglobin, platelet count, and white cell count [WBC]) count) were compiled for 4019 eBL cases and 80,532 subjects evaluated for asymptomatic malaria or clinical malaria (severe malaria anaemia, hyperparasitaemia, cerebral malaria, malaria prostration, moderate malaria, and mild malaria) in 21 representative studies published in Africa (mostly East Africa) and 850 eBL cases and 2878 controls with primary data from the Epidemiology of Burkitt Lymphoma in East African Children and Minors (EMBLEM) case-control study in Uganda, Tanzania, and Kenya. The average values of malaria-related laboratory results were computed by condition and trends across single-year age groups were assessed using regression and spline models. RESULTS Overall, malaria infection or malaria was diagnosed in 37,089 of children compiled from the literature. Children with eBL and asymptomatic parasitaemia/antigenaemia, but not those with clinical malaria, were closest in their mean age (age 7.1-7.2 vs. 7.4-9.8 years), haemoglobin level (10.0-10.4 vs. 11.7-12.3 g/dL), malaria parasite density (2800 vs. 1827-7780 parasites/µL), platelet count (347,000-353,000 vs. 244,000-306,000 platelets/µL), and WBC count (8180-8890 vs. 7100-7410 cells/µL). Parasite density in these two groups peaked between four to five years, then decreased steadily thereafter; conversely, haemoglobin showed a corresponding increase with age. Children with clinical malaria were markedly different: all had an average age below 5 years, had dramatically elevated parasite density (13,905-869,000 parasites/µL) and dramatically decreased platelet count (< 159,000 platelets/µL) and haemoglobin (< 7 g/dL). CONCLUSIONS eBL and asymptomatic parasitaemia/antigenaemia, but not clinical malaria, were the most similar conditions with respect to mean age and malaria-related laboratory results. These results suggest that children with asymptomatic parasitaemia/antigenaemia may be the population at risk of eBL.
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Affiliation(s)
- Lawrence S Redmond
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Martin D Ogwang
- EMBLEM Study, St. Mary's Hospital Lacor, Gulu, Uganda
- African Field Epidemiology Network, Kampala, Uganda
| | - Patrick Kerchan
- African Field Epidemiology Network, Kampala, Uganda
- EMBLEM Study, Kuluva Hospital Kuluva, Arua, Uganda
| | - Steven J Reynolds
- Division of Intramural Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA
| | - Constance N Tenge
- EMBLEM Study, Moi University College of Health Sciences, Eldoret, Kenya
| | - Pamela A Were
- EMBLEM Study, Academic Model Providing Access to Healthcare (AMPATH), Eldoret, Kenya
| | - Robert T Kuremu
- EMBLEM Study, Moi University College of Health Sciences, Eldoret, Kenya
| | | | - Esther Kawira
- EMBLEM Study, Shirati Health and Educational Foundation, Shirati, Tanzania
| | - Isaac Otim
- EMBLEM Study, St. Mary's Hospital Lacor, Gulu, Uganda
- African Field Epidemiology Network, Kampala, Uganda
| | - Ismail D Legason
- African Field Epidemiology Network, Kampala, Uganda
- EMBLEM Study, Kuluva Hospital Kuluva, Arua, Uganda
| | - Herry Dhudha
- EMBLEM Study, Shirati Health and Educational Foundation, Shirati, Tanzania
| | - Leona W Ayers
- Department of Pathology, The Ohio State University, Columbus, OH, USA
| | - Kishor Bhatia
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - James J Goedert
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Sam M Mbulaiteye
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.
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13
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Mpimbaza A, Walemwa R, Kapisi J, Sserwanga A, Namuganga JF, Kisambira Y, Tagoola A, Nanteza JF, Rutazaana D, Staedke SG, Dorsey G, Opigo J, Kamau A, Snow RW. The age-specific incidence of hospitalized paediatric malaria in Uganda. BMC Infect Dis 2020; 20:503. [PMID: 32660434 PMCID: PMC7359223 DOI: 10.1186/s12879-020-05215-z] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2020] [Accepted: 07/01/2020] [Indexed: 12/15/2022] Open
Abstract
BACKGROUND Understanding the relationship between malaria infection risk and disease outcomes represents a fundamental component of morbidity and mortality burden estimations. Contemporary data on severe malaria risks among populations of different parasite exposures are scarce. Using surveillance data, we compared rates of paediatric malaria hospitalisation in areas of varying parasite exposure levels. METHODS Surveillance data at five public hospitals; Jinja, Mubende, Kabale, Tororo, and Apac were assembled among admissions aged 1 month to 14 years between 2017 and 2018. The address of each admission was used to define a local catchment population where national census data was used to define person-year-exposure to risk. Within each catchment, historical infection prevalence was assembled from previously published data and current infection prevalence defined using 33 population-based school surveys among 3400 children. Poisson regression was used to compute the overall and site-specific incidences with 95% confidence intervals. RESULTS Both current and historical Plasmodium falciparum prevalence varied across the five sites. Current prevalence ranged from < 1% in Kabale to 54% in Apac. Overall, the malaria admission incidence rate (IR) was 7.3 per 1000 person years among children aged 1 month to 14 years of age (95% CI: 7.0, 7.7). The lowest rate was described at Kabale (IR = 0.3; 95 CI: 0.1, 0.6) and highest at Apac (IR = 20.3; 95 CI: 18.9, 21.8). There was a correlation between IR across the five sites and the current parasite prevalence in school children, though findings were not statistically significant. Across all sites, except Kabale, malaria admissions were concentrated among young children, 74% were under 5 years. The median age of malaria admissions at Kabale hospital was 40 months (IQR 20, 72), and at Apac hospital was 36 months (IQR 18, 69). Overall, severe anaemia (7.6%) was the most common presentation and unconsciousness (1.8%) the least common. CONCLUSION Malaria hospitalisation rates remain high in Uganda particularly among young children. The incidence of hospitalized malaria in different locations in Uganda appears to be influenced by past parasite exposure, immune acquisition, and current risks of infection. Interruption of transmission through vector control could influence age-specific severe malaria risk.
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Affiliation(s)
- Arthur Mpimbaza
- Child Health and Development Centre, College of Health Sciences, Makerere University, Kampala, Uganda.
- Infectious Diseases Research Collaboration, Kampala, Uganda.
| | - Richard Walemwa
- Department of Prevention, Care and Treatment, Infectious Diseases Institute, Kampala, Uganda
| | - James Kapisi
- Infectious Diseases Research Collaboration, Kampala, Uganda
| | | | | | | | - Abner Tagoola
- Jinja Regional Referral, Hospital, Republic of Uganda Ministry of Health, Jinja, Uganda
| | - Jane Frances Nanteza
- Mubende Regional Referral, Hospital, Republic of Uganda Ministry of Health, Mubende, Uganda
| | - Damain Rutazaana
- National Malaria Control Program, Ministry of Health Uganda, Kampala, Uganda
| | | | - Grant Dorsey
- Department of Medicine, San Francisco General Hospital, University of California San Francisco, San Francisco, USA
| | - Jimmy Opigo
- National Malaria Control Program, Ministry of Health Uganda, Kampala, Uganda
| | - Alice Kamau
- Population Health Unit, Kenya Medical Research Institute/Wellcome Trust Research Programme, Nairobi, Kenya
| | - Robert W Snow
- Population Health Unit, Kenya Medical Research Institute/Wellcome Trust Research Programme, Nairobi, Kenya
- Nuffield Department of Medicine, Centre for Tropical Medicine and Global Health, University of Oxford, Oxford, UK
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14
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Peprah S, Ogwang MD, Kerchan P, Reynolds SJ, Tenge CN, Were PA, Kuremu RT, Wekesa WN, Masalu N, Kawira E, Kinyera T, Otim I, Legason ID, Nabalende H, Dhudha H, Mumia M, Ayers LW, Biggar RJ, Bhatia K, Goedert JJ, Mbulaiteye SM. Mean platelet counts are relatively decreased with malaria but relatively increased with endemic Burkitt Lymphoma in Uganda, Tanzania, and Kenya. Br J Haematol 2020; 190:772-782. [PMID: 32395868 DOI: 10.1111/bjh.16700] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2020] [Revised: 04/01/2020] [Accepted: 04/07/2020] [Indexed: 12/28/2022]
Abstract
Platelet counts are decreased in Plasmodium falciparum malaria, which is aetiologically linked with endemic Burkitt lymphoma (eBL). However, the pattern of platelet counts in eBL cases is unknown. We studied platelet counts in 582 eBL cases and 2 248 controls enrolled in a case-control study in Uganda, Tanzania and Kenya (2010-2016). Mean platelet counts in controls or eBL cases with or without malaria-infection in controls versus eBLcases were compared using Student's t-test. Odds ratios (ORs) and two-sided 95% confidence intervals (95% CIs) were estimated using multiple logistic regression, controlling for age, sex, haemoglobin and white blood cell counts. Platelets were decreased with malaria infection in the controls [263 vs. 339 × 109 platelets/l, P < 0·0001; adjusted OR (aOR) = 3·42, 95% CI: 2·79-4·18] and eBL cases (314 vs. 367 × 109 platelets/l, P-value = 0·002; aOR = 2·36, 95% CI: 1·49-3·73). Unexpectedly, platelets were elevated in eBL cases versus controls in overall analyses (mean: 353 vs. 307 × 109 platelets/l, P < 0·0001; aOR = 1·41; 95% CI: 1·12-1·77), and when restricted to malaria-positive (mean 314 vs. 263 × 109 platelets/l, P < 0·0001; OR = 2·26; 95% CI: 1·56-3·27) or malaria-negative (mean 367 vs. 339 × 109 platelets/l, P < 0·001; OR = 1·46; 95% CI: 1·17-1·83) subjects. Platelets were decreased with malaria infection in controls and eBL cases but elevated with eBL.
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Affiliation(s)
- Sally Peprah
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Martin D Ogwang
- EpideMiology of Burkitt Lymphoma in East African Children and Minors Study, St. Mary's Hospital, Lacor, Gulu & African Field Epidemiology Network, Kampala, Uganda
| | - Patrick Kerchan
- EpideMiology of Burkitt Lymphoma in East African Children and Minors Study, Kuluva Hospital, Arua & African Field Epidemiology Network, Kuluva, Kampala, Uganda
| | - Steven J Reynolds
- Division of Intramural Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA
| | - Constance N Tenge
- EpideMiology of Burkitt Lymphoma in East African Children and Minors Study, Moi University College of Health Sciences, Eldoret, Kenya
| | - Pamela A Were
- EpideMiology of Burkitt Lymphoma in East African Children and Minors Study, Academic Model Providing Access To Healthcare, Eldoret, Kenya
| | - Robert T Kuremu
- EpideMiology of Burkitt Lymphoma in East African Children and Minors Study, Moi University College of Health Sciences, Eldoret, Kenya
| | - Walter N Wekesa
- EpideMiology of Burkitt Lymphoma in East African Children and Minors Study, Moi University College of Health Sciences, Eldoret, Kenya
| | - Nestory Masalu
- EpideMiology of Burkitt Lymphoma in East African Children and Minors Study, Bugando Medical Center, Mwanza, Tanzania
| | - Esther Kawira
- EpideMiology of Burkitt Lymphoma in East African Children and Minors Study, Shirati Health, Education, and Development Foundation, and Shirati Hospital, Shirati, Tanzania
| | - Tobias Kinyera
- EpideMiology of Burkitt Lymphoma in East African Children and Minors Study, St. Mary's Hospital, Lacor, Gulu & African Field Epidemiology Network, Kampala, Uganda
| | - Isaac Otim
- EpideMiology of Burkitt Lymphoma in East African Children and Minors Study, St. Mary's Hospital, Lacor, Gulu & African Field Epidemiology Network, Kampala, Uganda
| | - Ismail D Legason
- EpideMiology of Burkitt Lymphoma in East African Children and Minors Study, Kuluva Hospital, Arua & African Field Epidemiology Network, Kuluva, Kampala, Uganda
| | - Hadijah Nabalende
- EpideMiology of Burkitt Lymphoma in East African Children and Minors Study, St. Mary's Hospital, Lacor, Gulu & African Field Epidemiology Network, Kampala, Uganda
| | - Herry Dhudha
- EpideMiology of Burkitt Lymphoma in East African Children and Minors Study, Shirati Health, Education, and Development Foundation, and Shirati Hospital, Shirati, Tanzania
| | - Mediatrix Mumia
- EpideMiology of Burkitt Lymphoma in East African Children and Minors Study, Academic Model Providing Access To Healthcare, Eldoret, Kenya
| | - Leona W Ayers
- Department of Pathology, The Ohio State University, Columbus, OH, USA
| | - Robert J Biggar
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Kishor Bhatia
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - James J Goedert
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Sam M Mbulaiteye
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
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15
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Kirimunda S, Verboom M, Otim I, Ssennono M, Legason ID, Nabalende H, Ogwang MD, Kerchan P, Kinyera T, Mwebaza I, Joloba M, Ayers LW, Reynolds SJ, Bhatia K, Onabajo OO, Hallensleben M, Biggar RJ, Prokunina-Olsson L, Goedert JJ, Blasczyk R, Mbulaiteye SM. Variation in the Human Leukocyte Antigen system and risk for endemic Burkitt lymphoma in northern Uganda. Br J Haematol 2020; 189:489-499. [PMID: 32072624 PMCID: PMC7192769 DOI: 10.1111/bjh.16398] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2019] [Accepted: 11/04/2019] [Indexed: 12/17/2022]
Abstract
Endemic Burkitt lymphoma (eBL) is an aggressive childhood B-cell lymphoma associated with Plasmodium falciparum (Pf) malaria and Epstein-Barr virus (EBV) infections. Variation in the Human Leukocyte Antigen (HLA) system is suspected to play a role, but assessments using less accurate serology-based HLA typing techniques in small studies yielded conflicting results. We studied 200 eBL cases and 400 controls aged 0-15 years enrolled in northern Uganda and typed by accurate high-resolution HLA sequencing methods. HLA results were analyzed at one- or two-field resolution. Odds ratios and 95% confidence intervals (aOR, 95% CI) for eBL risk associated with common HLA alleles versus alleles that were rare (<1%) or differed by <2% between the cases and controls as the reference category, were estimated using multiple logistic regression adjusting for age, sex, microgeography, region, malaria positivity and treatment history, and genetic variants associated with eBL. Compared to the controls, eBL cases had a lower frequency of HLA-A*02 (aOR = 0·59, 95% CI 0·38-0·91), HLA-B*41 (aOR = 0·36, 95% CI 0·13-1·00), and HLA-B*58 alleles (aOR = 0·59, 95% CI 0·36-0·97). eBL cases had a lower frequency of HLA-DPB1 homozygosity (aOR = 0·57, 95% CI 0·40-0·82) but a higher frequency of HLA-DQA1 homozygosity (aOR = 2·19, 95% CI 1·42-3·37). Our results suggest that variation in HLA may be associated with eBL risk.
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Affiliation(s)
- Samuel Kirimunda
- College of Health Sciences, Makerere University, Kampala, Uganda
| | | | - Isaac Otim
- EMBLEM Study, St. Mary’s Hospital, Lacor, Gulu & African Field Epidemiology Network, Kampala, Uganda
| | - Mark Ssennono
- EMBLEM Study, St. Mary’s Hospital, Lacor, Gulu & African Field Epidemiology Network, Kampala, Uganda
- EMBLEM Study, Kuluva Hospital, Kuluva, Arua & African Field Epidemiology Network, Kampala, Uganda
| | - Ismail D. Legason
- EMBLEM Study, Kuluva Hospital, Kuluva, Arua & African Field Epidemiology Network, Kampala, Uganda
| | - Hadijah Nabalende
- EMBLEM Study, St. Mary’s Hospital, Lacor, Gulu & African Field Epidemiology Network, Kampala, Uganda
| | - Martin D. Ogwang
- EMBLEM Study, St. Mary’s Hospital, Lacor, Gulu & African Field Epidemiology Network, Kampala, Uganda
| | - Patrick Kerchan
- EMBLEM Study, Kuluva Hospital, Kuluva, Arua & African Field Epidemiology Network, Kampala, Uganda
| | - Tobias Kinyera
- EMBLEM Study, St. Mary’s Hospital, Lacor, Gulu & African Field Epidemiology Network, Kampala, Uganda
| | - Ivan Mwebaza
- College of Health Sciences, Makerere University, Kampala, Uganda
| | - Moses Joloba
- College of Health Sciences, Makerere University, Kampala, Uganda
| | - Leona W. Ayers
- Department of Pathology, The Ohio State University, Columbus, Ohio, USA
| | - Steven J. Reynolds
- Division of Intramural Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Maryland, USA
| | - Kishor Bhatia
- Infections and Immunoepidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Olusegun O. Onabajo
- Laboratory of Translational Genomics, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA
| | | | - Robert J. Biggar
- Infections and Immunoepidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Ludmila Prokunina-Olsson
- Laboratory of Translational Genomics, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - James J. Goedert
- Infections and Immunoepidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA
| | | | - Sam M. Mbulaiteye
- Infections and Immunoepidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA
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16
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Ratti V, Wallace DI. A Malaria Transmission Model Predicts Holoendemic, Hyperendemic, and Hypoendemic Transmission Patterns Under Varied Seasonal Vector Dynamics. JOURNAL OF MEDICAL ENTOMOLOGY 2020; 57:568-584. [PMID: 31770428 DOI: 10.1093/jme/tjz186] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/26/2019] [Indexed: 06/10/2023]
Abstract
A model is developed of malaria (Plasmodium falciparum) transmission in vector (Anopheles gambiae) and human populations that include the capacity for both clinical and parasite suppressing immunity. This model is coupled with a population model for Anopheles gambiae that varies seasonal with temperature and larval habitat availability. At steady state, the model clearly distinguishes uns hypoendemic transmission patterns from stable hyperendemic and holoendemic patterns of transmission. The model further distinguishes hyperendemic from holoendemic disease based on seasonality of infection. For hyperendemic and holoendemic transmission, the model produces the relationship between entomological inoculation rate and disease prevalence observed in the field. It further produces expected rates of immunity and prevalence across all three endemic patterns. The model does not produce mesoendemic transmission patterns at steady state for any parameter choices, leading to the conclusion that mesoendemic patterns occur during transient states or as a result of factors not included in this study. The model shows that coupling the effect of varying larval habitat availability with the effects of clinical and parasite-suppressing immunity is enough to produce known patterns of malaria transmission.
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17
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Peprah S, Ogwang MD, Kerchan P, Reynolds SJ, Tenge CN, Were PA, Kuremu RT, Wekesa WN, Sumba PO, Masalu N, Kawira E, Magatti J, Kinyera T, Otim I, Legason ID, Nabalende H, Dhudha H, Ally H, Genga IO, Mumia M, Ayers LW, Pfeiffer RM, Biggar RJ, Bhatia K, Goedert JJ, Mbulaiteye SM. Risk factors for Burkitt lymphoma in East African children and minors: A case-control study in malaria-endemic regions in Uganda, Tanzania and Kenya. Int J Cancer 2020; 146:953-969. [PMID: 31054214 PMCID: PMC6829037 DOI: 10.1002/ijc.32390] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2019] [Revised: 04/18/2019] [Accepted: 04/24/2019] [Indexed: 12/25/2022]
Abstract
Endemic Burkitt lymphoma (eBL) is the most common childhood cancer in sub-Saharan African countries, however, few epidemiologic studies have been undertaken and none attempted enrolling cases from multiple countries. We therefore conducted a population-based case-control study of eBL in children aged 0-15 years old in six regions in Northern Uganda, Northern Tanzania and Western Kenya, enrolling 862 suspected cases and 2,934 population controls (response rates 98.5-100%), and processing ~40,000 vials of samples using standardized protocols. Risk factor questionnaires were administered, and malaria period prevalence was measured using rapid diagnostic tests (RDTs). A total of 80.9% of the recruited cases were diagnosed as eBL; 61.4% confirmed by histology. Associations with eBL risk were computed using logistic regression models adjusted for relevant confounders. Associations common in at least two countries were emphasized. eBL risk was decreased with higher maternal income and paternal education and elevated with history of inpatient malaria treatment >12 months before enrollment. Reporting malaria-attributed fever up to 6 months before enrollment and malaria-RDT positivity at enrollment were associated with decreased eBL risk. Conversely, reporting exposure to mass malaria suppression programs (e.g., indoor residual insecticide) was associated with elevated risk. HIV seropositivity was associated with elevated eBL risk, but the relative impact was small. The study shows that it is feasible to conduct networked, multisite population-based studies of eBL in Africa. eBL was inversely associated with socioeconomic status, positively associated with inpatient malaria treatment 12 months ago and with living in areas targeted for malaria suppression, which support a role of malaria in eBL.
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Affiliation(s)
- Sally Peprah
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Martin D. Ogwang
- EMBLEM Study, St. Mary’s Hospital, Lacor, Gulu & African Field Epidemiology Network, Kampala, Uganda
| | - Patrick Kerchan
- EMBLEM Study, Kuluva Hospital, Kuluva, Arua & African Field Epidemiology Network, Kampala, Uganda
| | - Steven J. Reynolds
- Division of Intramural Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Maryland, USA
| | | | - Pamela A. Were
- EMBLEM Study, Academic Model Providing Access To Healthcare (AMPATH), Eldoret, Kenya
| | - Robert T. Kuremu
- EMBLEM Study, Moi University College of Health Sciences, Eldoret, Kenya
| | - Walter N Wekesa
- EMBLEM Study, Moi University College of Health Sciences, Eldoret, Kenya
| | | | | | - Esther Kawira
- EMBLEM Study, Shirati Health and Educational Foundation, Shirati, Tanzania
| | - Josiah Magatti
- EMBLEM Study, Shirati Health and Educational Foundation, Shirati, Tanzania
| | - Tobias Kinyera
- EMBLEM Study, St. Mary’s Hospital, Lacor, Gulu & African Field Epidemiology Network, Kampala, Uganda
| | - Isaac Otim
- EMBLEM Study, St. Mary’s Hospital, Lacor, Gulu & African Field Epidemiology Network, Kampala, Uganda
| | - Ismail D. Legason
- EMBLEM Study, Kuluva Hospital, Kuluva, Arua & African Field Epidemiology Network, Kampala, Uganda
| | - Hadijah Nabalende
- EMBLEM Study, St. Mary’s Hospital, Lacor, Gulu & African Field Epidemiology Network, Kampala, Uganda
| | - Herry Dhudha
- EMBLEM Study, Shirati Health and Educational Foundation, Shirati, Tanzania
| | - Hillary Ally
- EMBLEM Study, Bugando Medical Center, Mwanza, Tanzania
| | - Isaiah O. Genga
- EMBLEM Study, Academic Model Providing Access To Healthcare (AMPATH), Eldoret, Kenya
| | - Mediatrix Mumia
- EMBLEM Study, Academic Model Providing Access To Healthcare (AMPATH), Eldoret, Kenya
| | - Leona W. Ayers
- Department of Pathology, The Ohio State University, Columbus, Ohio, USA
| | - Ruth M. Pfeiffer
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Robert J. Biggar
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Kishor Bhatia
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - James J. Goedert
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Sam M. Mbulaiteye
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA
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18
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Peprah S, Tenge C, Genga IO, Mumia M, Were PA, Kuremu RT, Wekesa WN, Sumba PO, Kinyera T, Otim I, Legason ID, Biddle J, Reynolds SJ, Talisuna AO, Biggar RJ, Bhatia K, Goedert JJ, Pfeiffer RM, Mbulaiteye SM. A Cross-Sectional Population Study of Geographic, Age-Specific, and Household Risk Factors for Asymptomatic Plasmodium falciparum Malaria Infection in Western Kenya. Am J Trop Med Hyg 2019; 100:54-65. [PMID: 30457091 DOI: 10.4269/ajtmh.18-0481] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
Abstract
The burden of Plasmodium falciparum (Pf) malaria in Kenya is decreasing; however, it is still one of the top 10 causes of morbidity, particularly in regions of western Kenya. Between April 2015 and June 2016, we enrolled 965 apparently healthy children aged 0-15 years in former Nyanza and Western Provinces in Kenya to characterize the demographic, geographic, and household risk factors of asymptomatic malaria as part of an epidemiologic study to investigate the risk factors for endemic Burkitt lymphoma. The children were sampled using a stratified, multistage cluster sampling survey design. Malaria was assessed by rapid diagnostic test (RDT) and thick-film microscopy (TFM). Primary analyses of Pf malaria prevalence (pfPR) are based on RDT. Associations between weighted pfPR and potential risk factors were evaluated using logistic regression, accounting for the survey design. Plasmodium falciparum malaria prevalence was 36.0% (27.5%, 44.5%) by RDT and 22.3% (16.0%, 28.6%) by TFM. Plasmodium falciparum malaria prevalence was positively associated with living in the lake-endemic area (adjusted odds ratio [aOR] 3.46; 95% confidence interval [95% CI] 1.63, 7.37), paternal occupation as peasant farmer (aOR 1.87; 1.08, 3.26) or manual laborer (aOR 1.83; 1.00, 3.37), and keeping dogs (aOR 1.62; 0.98-2.69) or cows (aOR 1.52; 0.96-2.40) inside or near the household. Plasmodium falciparum malaria prevalence was inversely associated with indoor residual insecticide spraying (IRS) (aOR 0.44; 0.19, 1.01), having a household connected to electricity (aOR 0.47; 0.22, 0.98), and a household with two (aOR 0.45; 0.22, 0.93) or ≥ three rooms (aOR 0.41; 0.18, 0.93). We report high but geographically heterogeneous pfPR in children in western Kenya and significant associations with IRS and household-level socioeconomic factors.
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Affiliation(s)
- Sally Peprah
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland
| | | | - Isaiah O Genga
- EMBLEM Study, Academic Model Providing Access to Healthcare (AMPATH), Eldoret, Kenya
| | - Mediatrix Mumia
- EMBLEM Study, Academic Model Providing Access to Healthcare (AMPATH), Eldoret, Kenya
| | - Pamela A Were
- EMBLEM Study, Academic Model Providing Access to Healthcare (AMPATH), Eldoret, Kenya
| | | | | | | | - Tobias Kinyera
- EMBLEM Study, African Field Epidemiology Network, Kampala, Uganda
| | - Isaac Otim
- EMBLEM Study, African Field Epidemiology Network, Kampala, Uganda
| | - Ismail D Legason
- EMBLEM Study, African Field Epidemiology Network, Kampala, Uganda
| | - Joshua Biddle
- Stanford Hospitals and Clinics, University of Stanford, Pao Alto, California
| | - Steven J Reynolds
- National Institutes of Health/Uganda Project Entebbe, National Institute of Allergy and Infectious Diseases, Rockville, Maryland
| | - Ambrose O Talisuna
- World Health Organization, Regional Office for Africa, Brazzaville, Congo
| | - Robert J Biggar
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland
| | - Kishor Bhatia
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland
| | - James J Goedert
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland
| | - Ruth M Pfeiffer
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland
| | - Sam M Mbulaiteye
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland
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19
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Peprah S, Dhudha H, Ally H, Masalu N, Kawira E, Chao CN, Genga IO, Mumia M, Were PA, Kinyera T, Otim I, Legason ID, Biggar RJ, Bhatia K, Goedert JJ, Pfeiffer RM, Mbulaiteye SM. A population-based study of the prevalence and risk factors of low-grade Plasmodium falciparum malaria infection in children aged 0-15 years old in northern Tanzania. Trop Med Int Health 2019; 24:571-585. [PMID: 30843638 PMCID: PMC6499672 DOI: 10.1111/tmi.13225] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
OBJECTIVES Northern Tanzania experiences significant malaria-related morbidity and mortality, but accurate data are scarce. We update the data on patterns of low-grade Plasmodium falciparum malaria infection among children in northern Tanzania. METHODS Plasmodium falciparum malaria prevalence (pfPR) was assessed in a representative sample of 819 children enrolled in 94 villages in northern Tanzania between October 2015 and August 2016, using a complex survey design. Individual- and household-level risk factors for pfPR were elicited using structured questionnaires. pfPR was assessed using rapid diagnostic tests (RDTs) and thick film microscopy (TFM). Associations with pfPR, based on RDT, were assessed using adjusted odds ratios (aOR) and confidence intervals (CI) from weighted survey logistic regression models. RESULTS Plasmodium falciparum malaria prevalence (pfPR) was 39.5% (95% CI: 31.5, 47.5) by RDT and 33.4% (26.0, 40.6) by TFM. pfPR by RDT was inversely associated with higher-education parents, especially mothers (5-7 years of education: aOR 0.55; 95% CI: 0.31, 0.96, senior secondary education: aOR 0.10; 95% CI: 0.02, 0.55), living in a house near the main road (aOR 0.34; 95% CI: 0.15, 0.76), in a larger household (two rooms: aOR 0.40; 95% CI: 0.21, 0.79, more than two rooms OR 0.35; 95% CI: 0.20, 0.62). Keeping a dog near or inside the house was positively associated with pfPR (aOR 2.01; 95% CI: 1.26, 3.21). pfPR was not associated with bed-net use or indoor residual spraying. CONCLUSIONS Nearly 40% of children in northern Tanzania had low-grade malaria antigenaemia. Higher parental education and household metrics but not mosquito bed-net use were inversely associated with pfPR.
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Affiliation(s)
- Sally Peprah
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland, USA
| | - Herry Dhudha
- EpideMiology of Burkitt Lymphoma in East African Children and Minors (EMBLEM) Study, Bugando Medical Center, Mwanza, Tanzania
| | - Hillary Ally
- EpideMiology of Burkitt Lymphoma in East African Children and Minors (EMBLEM) Study, Bugando Medical Center, Mwanza, Tanzania
| | - Nestory Masalu
- EpideMiology of Burkitt Lymphoma in East African Children and Minors (EMBLEM) Study, Bugando Medical Center, Mwanza, Tanzania
| | - Esther Kawira
- EMBLEM Study, Shirati Health and Educational Foundation, Shirati, Tanzania
| | - Colin N Chao
- EpideMiology of Burkitt Lymphoma in East African Children and Minors (EMBLEM) Study, Bugando Medical Center, Mwanza, Tanzania
| | - Isaiah O. Genga
- EMBLEM Study, Academic Model Providing Access to Healthcare, Eldoret, Kenya
| | - Mediatrix Mumia
- EMBLEM Study, Academic Model Providing Access to Healthcare, Eldoret, Kenya
| | - Pamela A. Were
- EMBLEM Study, Academic Model Providing Access to Healthcare, Eldoret, Kenya
| | - Tobias Kinyera
- EMBLEM Study, African Field Epidemiology Network, Kampala, Uganda
| | - Isaac Otim
- EMBLEM Study, African Field Epidemiology Network, Kampala, Uganda
| | | | - Robert J. Biggar
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland, USA
| | - Kishor Bhatia
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland, USA
| | - James J. Goedert
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland, USA
| | - Ruth M. Pfeiffer
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland, USA
| | - Sam M. Mbulaiteye
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland, USA
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20
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Bendabenda J, Patson N, Hallamaa L, Ashorn U, Dewey KG, Ashorn P, Maleta K. Does anthropometric status at 6 months predict the over-dispersion of malaria infections in children aged 6-18 months? A prospective cohort study. Malar J 2019; 18:143. [PMID: 31010435 PMCID: PMC6477714 DOI: 10.1186/s12936-019-2778-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2019] [Accepted: 04/13/2019] [Indexed: 12/02/2022] Open
Abstract
BACKGROUND In malaria-endemic settings, a small proportion of children suffer repeated malaria infections, contributing to most of the malaria cases, yet underlying factors are not fully understood. This study was aimed to determine whether undernutrition predicts this over-dispersion of malaria infections in children aged 6-18 months in settings of high malaria and undernutrition prevalence. METHODS Prospective cohort study, conducted in Mangochi, Malawi. Six-months-old infants were enrolled and had length-for-age z-scores (LAZ), weight-for-age z-scores (WAZ), and weight-for-length z-scores (WLZ) assessed. Data were collected for 'presumed', clinical, and rapid diagnostic test (RDT)-confirmed malaria until 18 months. Malaria microscopy was done at 6 and 18 months. Negative binomial regression was used for malaria incidence and modified Poisson regression for malaria prevalence. RESULTS Of the 2723 children enrolled, 2561 (94%) had anthropometry and malaria data. The mean (standard deviation [SD]) of LAZ, WAZ, and WLZ at 6 months were - 1.4 (1.1), - 0.7 (1.2), and 0.3 (1.1), respectively. The mean (SD) incidences of 'presumed', clinical, and RDT-confirmed malaria from 6 to 18 months were: 1.1 (1.6), 0.4 (0.8), and 1.3 (2.0) episodes/year, respectively. Prevalence of malaria parasitaemia was 4.8% at 6 months and 9.6% at 18 months. Higher WLZ at 6 months was associated with lower prevalence of malaria parasitaemia at 18 months (prevalence ratio [PR] = 0.80, 95% confidence interval [CI] 0.67 to 0.94, p = 0.007), but not with incidences of 'presumed' malaria (incidence rate ratio [IRR] = 0.97, 95% CI 0.92 to 1.02, p = 0.190), clinical malaria (IRR = 1.03, 95% CI 0.94 to 1.12, p = 0.571), RDT-confirmed malaria (IRR = 1.00, 95% CI 0.94 to 1.06, p = 0.950). LAZ and WAZ at 6 months were not associated with malaria outcomes. Household assets, maternal education, and food insecurity were significantly associated with malaria. There were significant variations in hospital-diagnosed malaria by study site. CONCLUSION In children aged 6-18 months living in malaria-endemic settings, LAZ, WAZ, and WLZ do not predict malaria incidence. However, WLZ may be associated with prevalence of malaria. Socio-economic and micro-geographic factors may explain the variations in malaria, but these require further study. Trial registration NCT00945698. Registered July 24, 2009, https://clinicaltrials.gov/ct2/show/NCT00945698 , NCT01239693. Registered Nov 11, 2010, https://clinicaltrials.gov/ct2/show/NCT01239693.
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Affiliation(s)
- Jaden Bendabenda
- Department of Public Health, School of Public Health, University of Malawi College of Medicine, Mahatma Gandhi Road, Private Bag 360, Blantyre 3, Malawi
- Faculty of Medicine and Life Sciences, Center for Child Health Research, University of Tampere, Tampere, Finland
| | - Noel Patson
- Department of Public Health, School of Public Health, University of Malawi College of Medicine, Mahatma Gandhi Road, Private Bag 360, Blantyre 3, Malawi
- School of Public Health, University of the Witwatersrand, Johannesburg, South Africa
| | - Lotta Hallamaa
- Faculty of Medicine and Life Sciences, Center for Child Health Research, University of Tampere, Tampere, Finland
| | - Ulla Ashorn
- Faculty of Medicine and Life Sciences, Center for Child Health Research, University of Tampere, Tampere, Finland
| | - Kathryn G Dewey
- Department of Nutrition, University of California, Davis, Davis, CA, USA
| | - Per Ashorn
- Faculty of Medicine and Life Sciences, Center for Child Health Research, University of Tampere, Tampere, Finland
| | - Kenneth Maleta
- Department of Public Health, School of Public Health, University of Malawi College of Medicine, Mahatma Gandhi Road, Private Bag 360, Blantyre 3, Malawi.
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21
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Gouveia MH, Bergen AW, Borda V, Nunes K, Leal TP, Ogwang MD, Yeboah ED, Mensah JE, Kinyera T, Otim I, Nabalende H, Legason ID, Mpoloka SW, Mokone GG, Kerchan P, Bhatia K, Reynolds SJ, Birtwum RB, Adjei AA, Tettey Y, Tay E, Hoover R, Pfeiffer RM, Biggar RJ, Goedert JJ, Prokunina-Olsson L, Dean M, Yeager M, Lima-Costa MF, Hsing AW, Tishkoff SA, Chanock SJ, Tarazona-Santos E, Mbulaiteye SM. Genetic signatures of gene flow and malaria-driven natural selection in sub-Saharan populations of the "endemic Burkitt Lymphoma belt". PLoS Genet 2019; 15:e1008027. [PMID: 30849090 PMCID: PMC6426263 DOI: 10.1371/journal.pgen.1008027] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2018] [Revised: 03/20/2019] [Accepted: 02/17/2019] [Indexed: 12/13/2022] Open
Abstract
Populations in sub-Saharan Africa have historically been exposed to intense selection from chronic infection with falciparum malaria. Interestingly, populations with the highest malaria intensity can be identified by the increased occurrence of endemic Burkitt Lymphoma (eBL), a pediatric cancer that affects populations with intense malaria exposure, in the so called "eBL belt" in sub-Saharan Africa. However, the effects of intense malaria exposure and sub-Saharan populations' genetic histories remain poorly explored. To determine if historical migrations and intense malaria exposure have shaped the genetic composition of the eBL belt populations, we genotyped ~4.3 million SNPs in 1,708 individuals from Ghana and Northern Uganda, located on opposite sides of eBL belt and with ≥ 7 months/year of intense malaria exposure and published evidence of high incidence of BL. Among 35 Ghanaian tribes, we showed a predominantly West-Central African ancestry and genomic footprints of gene flow from Gambian and East African populations. In Uganda, the North West population showed a predominantly Nilotic ancestry, and the North Central population was a mixture of Nilotic and Southern Bantu ancestry, while the Southwest Ugandan population showed a predominant Southern Bantu ancestry. Our results support the hypothesis of diverse ancestral origins of the Ugandan, Kenyan and Tanzanian Great Lakes African populations, reflecting a confluence of Nilotic, Cushitic and Bantu migrations in the last 3000 years. Natural selection analyses suggest, for the first time, a strong positive selection signal in the ATP2B4 gene (rs10900588) in Northern Ugandan populations. These findings provide important baseline genomic data to facilitate disease association studies, including of eBL, in eBL belt populations.
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Affiliation(s)
- Mateus H. Gouveia
- Instituto de Pesquisa René Rachou, Fundação Oswaldo Cruz, Belo Horizonte, Minas Gerais, Brazil
- Departamento de Biologia Geral, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, Brazil
- Center for Research on Genomics & Global Health, National Institutes of Health, US Department of Health and Human Services, Bethesda, Maryland, United States of America
| | - Andrew W. Bergen
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, US Department of Health and Human Services, Bethesda, Maryland, United States of America
| | - Victor Borda
- Departamento de Biologia Geral, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, Brazil
| | - Kelly Nunes
- Departamento de Genética e Biologia Evolutiva, Instituto de Biociências, Universidade de São Paulo, São Paulo, Brazil
| | - Thiago P. Leal
- Departamento de Biologia Geral, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, Brazil
- Department of Statistics, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, Brazil
| | - Martin D. Ogwang
- EMBLEM Study, African Field Epidemiology Network, Kampala, Uganda
| | | | | | - Tobias Kinyera
- EMBLEM Study, African Field Epidemiology Network, Kampala, Uganda
| | - Isaac Otim
- EMBLEM Study, African Field Epidemiology Network, Kampala, Uganda
| | | | | | | | - Gaonyadiwe George Mokone
- Department of Biomedical Sciences, University of Botswana School of Medicine, Gaborone, Botswana
| | - Patrick Kerchan
- EMBLEM Study, African Field Epidemiology Network, Kampala, Uganda
| | - Kishor Bhatia
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, US Department of Health and Human Services, Bethesda, Maryland, United States of America
| | - Steven J. Reynolds
- Division of Intramural Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, US Department of Health and Human Services, Bethesda, Maryland, United States of America
| | | | | | - Yao Tettey
- University of Ghana Medical School, Accra, Ghana
| | - Evelyn Tay
- University of Ghana Medical School, Accra, Ghana
| | - Robert Hoover
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, US Department of Health and Human Services, Bethesda, Maryland, United States of America
| | - Ruth M. Pfeiffer
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, US Department of Health and Human Services, Bethesda, Maryland, United States of America
| | - Robert J. Biggar
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, US Department of Health and Human Services, Bethesda, Maryland, United States of America
| | - James J. Goedert
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, US Department of Health and Human Services, Bethesda, Maryland, United States of America
| | - Ludmila Prokunina-Olsson
- Laboratory of Translational Genomics, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, US Department of Health and Human Services, Bethesda, Maryland, United States of America
| | - Michael Dean
- Laboratory of Translational Genomics, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, US Department of Health and Human Services, Bethesda, Maryland, United States of America
| | - Meredith Yeager
- Cancer Genomics Research Laboratory, Leidos Biomedical Research, Frederick National Laboratory for Cancer Research, US Department of Health and Human Services, Frederick, Maryland, United States of America
| | - M. Fernanda Lima-Costa
- Instituto de Pesquisa René Rachou, Fundação Oswaldo Cruz, Belo Horizonte, Minas Gerais, Brazil
| | - Ann W. Hsing
- Stanford Cancer Institute, Stanford University, Stanford, California, United States of America
| | - Sarah A. Tishkoff
- Department of Genetics and Biology, University of Pennsylvania, Philadelphia, United States of America
| | - Stephen J. Chanock
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, US Department of Health and Human Services, Bethesda, Maryland, United States of America
| | - Eduardo Tarazona-Santos
- Departamento de Biologia Geral, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, Brazil
| | - Sam M. Mbulaiteye
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, US Department of Health and Human Services, Bethesda, Maryland, United States of America
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22
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Derkach A, Otim I, Pfeiffer RM, Onabajo OO, Legason ID, Nabalende H, Ogwang MD, Kerchan P, Talisuna AO, Ayers LW, Reynolds SJ, Nkrumah F, Neequaye J, Bhatia K, Theander TG, Prokunina-Olsson L, Turner L, Goedert JJ, Lavstsen T, Mbulaiteye SM. Associations between IgG reactivity to Plasmodium falciparum erythrocyte membrane protein 1 (PfEMP1) antigens and Burkitt lymphoma in Ghana and Uganda case-control studies. EBioMedicine 2018; 39:358-368. [PMID: 30579868 PMCID: PMC6355394 DOI: 10.1016/j.ebiom.2018.12.020] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2018] [Revised: 12/10/2018] [Accepted: 12/12/2018] [Indexed: 01/26/2023] Open
Abstract
Background Endemic Burkitt lymphoma (eBL) is an aggressive childhood B-cell lymphoma linked to Plasmodium falciparum (Pf) malaria in sub-Saharan Africa. We investigated antibody reactivity to several human receptor-binding domains of the Pf erythrocyte membrane protein 1 (PfEMP1) that play a key role in malaria pathogenesis and are targets of acquired immunity to malaria. Methods Serum/plasma IgG antibody reactivity was measured to 22 Pf antigens, including 18 to PfEMP1 CIDR domains between cases and controls from two populations (149 eBL cases and 150 controls from Ghana and 194 eBL cases and 600 controls from Uganda). Adjusted odds ratios (aORs) for case-control associations were estimated by logistic regression. Findings There was stronger reactivity to the severe malaria associated CIDRα1 domains than other CIDR domains both in cases and controls. eBL cases reacted to fewer antigens than controls (Ghana: p = 0·001; Uganda: p = 0·03), with statistically significant lower ORs associated with reactivity to 13+ antigens in Ghana (aOR 0·39, 95% CI 0·24–0·63; pheterogeneity = 0·00011) and Uganda (aOR 0·60, 95% CI 0.41–0·88; pheterogeneity = 0·008). eBL was inversely associated with reactivity, coded as quartiles, to group A variant CIDRδ1 (ptrend = 0·035) in Ghana and group B CD36-binding variants CIDRα2·2 (ptrend = 0·006) and CIDRα2·4 (ptrend = 0·033) in Uganda, and positively associated with reactivity to SERA5 in Ghana (ptrend = 0·017) and Uganda (ptrend = 0·007) and group A CIDRα1·5 variant in Uganda only (ptrend = 0·034). Interpretation eBL cases reacted to fewer antigens than controls using samples from two populations, Ghana and Uganda. Attenuated humoral immunity to Pf EMP1 may contribute to susceptibility to low-grade malaria and eBL risk. Funding Intramural Research Program, National Cancer Institute and National Institute of Allergy and Infectious Diseases, National Institutes of Health, Department of Health and Human Services.
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Affiliation(s)
- Andriy Derkach
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Isaac Otim
- EMBLEM Study, African Field Epidemiology Network, Kampala, Uganda
| | - Ruth M Pfeiffer
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Olusegun O Onabajo
- Laboratory of Translational Genomics, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Ismail D Legason
- EMBLEM Study, African Field Epidemiology Network, Kampala, Uganda
| | | | | | | | - Ambrose O Talisuna
- World Health Organization, Regional Office for Africa, Brazzaville, Congo
| | - Leona W Ayers
- Department of Pathology, The Ohio State University, Columbus, OH, USA
| | - Steven J Reynolds
- Division of Intramural Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA
| | | | - Janet Neequaye
- Department of Child Health, Korle Bu University Teaching Hospital in Accra, Ghana
| | - Kishor Bhatia
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Thor G Theander
- Centre for Medical Parasitology, Department of International Health, Immunology & Microbiology, University of Copenhagen and Department of Infectious Diseases, Rigs Hospitalet, Copenhagen, Denmark
| | - Ludmila Prokunina-Olsson
- Laboratory of Translational Genomics, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Louise Turner
- Centre for Medical Parasitology, Department of International Health, Immunology & Microbiology, University of Copenhagen and Department of Infectious Diseases, Rigs Hospitalet, Copenhagen, Denmark
| | - James J Goedert
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Thomas Lavstsen
- Centre for Medical Parasitology, Department of International Health, Immunology & Microbiology, University of Copenhagen and Department of Infectious Diseases, Rigs Hospitalet, Copenhagen, Denmark
| | - Sam M Mbulaiteye
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.
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23
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Maziarz M, Nabalende H, Otim I, Legason ID, Kinyera T, Ogwang MD, Talisuna AO, Reynolds SJ, Kerchan P, Bhatia K, Biggar RJ, Goedert JJ, Pfeiffer RM, Mbulaiteye SM. A cross-sectional study of asymptomatic Plasmodium falciparum infection burden and risk factors in general population children in 12 villages in northern Uganda. Malar J 2018; 17:240. [PMID: 29925378 PMCID: PMC6011516 DOI: 10.1186/s12936-018-2379-1] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2018] [Accepted: 06/08/2018] [Indexed: 12/05/2022] Open
Abstract
BACKGROUND Plasmodium falciparum malaria is an important cause of morbidity in northern Uganda. This study was undertaken to assess village-, household-, and individual-level risk factors of asymptomatic falciparum malaria in children in 12 villages in northern Uganda. METHODS Between 10/2011 and 02/2014, 1006 apparently healthy children under 16 years old were enrolled in 12 villages using a stratified, multi-stage, cluster survey design and assessed for P. falciparum malaria infection using the rapid diagnostic test (RDT) and thick film microscopy (TFM), and structured interviewer-administered questionnaires. Associations between weighted P. falciparum malaria prevalence (pfPR), based on RDT, and covariates were estimated as odds ratios and 95% confidence intervals (ORs, 95% CIs) using logistic models accounting for the survey design. RESULTS Among 942 (93.5%) children successfully tested, pfPR was 52.4% by RDT and 32.7% by TFM. Overall pfPR was lower in villages where indoor residual insecticide spray (IRS) was, versus not, implemented (18.4% versus 75.2%, P < 0.0001). However, pfPR was heterogeneous both within IRS (10.6-34.8%) and non-IRS villages (63.6-86.2%). Elevated pfPR was associated with having a sibling who was RDT positive (OR 5.39, 95% CI 2.94-9.90, P = 0.0006) and reporting a fever at enrollment (aOR 4.80, 95% CI 1.94-11.9, P = 0.0094). Decreased pfPR was associated with living in an IRS village (adjusted OR 0.06, 95% CI 0.04-0.07, P < 0.0001), in a household with one (aOR 0.48, 95% CI 0.30-0.76) or more than one child below 5 years (aOR 0.23, 95% CI 0.12-0.44, Ptrend = 0.014), and reporting keeping a goat inside or near the house (aOR 0.42, 95% CI 0.29-0.62, P = 0.0021). CONCLUSIONS The results show high but heterogeneous pfPR in villages in northern Uganda, confirm significantly decreased pfPR associated with IRS implementation, and suggest significant associations with some household characteristics. Further research is needed to elucidate the factors influencing malaria heterogeneity in villages in Uganda.
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Affiliation(s)
- Marlena Maziarz
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, 9609 Medical Center Dr, Rm. 6E118 MSC 9706, Bethesda, MD, 20892-9704, USA
| | - Hadijah Nabalende
- EMBLEM Study, African Field Epidemiology Network, Kampala & St. Mary's Hospital, Lacor, Gulu, Uganda
| | - Isaac Otim
- EMBLEM Study, African Field Epidemiology Network, Kampala & St. Mary's Hospital, Lacor, Gulu, Uganda
| | - Ismail D Legason
- EMBLEM Study, African Field Epidemiology Network, Kampala & St. Mary's Hospital, Lacor, Gulu, Uganda
| | - Tobias Kinyera
- EMBLEM Study, African Field Epidemiology Network, Kampala & St. Mary's Hospital, Lacor, Gulu, Uganda
| | - Martin D Ogwang
- EMBLEM Study, African Field Epidemiology Network, Kampala & St. Mary's Hospital, Lacor, Gulu, Uganda
| | - Ambrose O Talisuna
- World Health Organization, Regional Office for Africa, Brazzaville, Congo
| | - Steven J Reynolds
- Division of Intramural Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA
| | - Patrick Kerchan
- EMBLEM Study, African Field Epidemiology Network, Kampala & St. Mary's Hospital, Lacor, Gulu, Uganda
| | - Kishor Bhatia
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, 9609 Medical Center Dr, Rm. 6E118 MSC 9706, Bethesda, MD, 20892-9704, USA
| | - Robert J Biggar
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, 9609 Medical Center Dr, Rm. 6E118 MSC 9706, Bethesda, MD, 20892-9704, USA
| | - James J Goedert
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, 9609 Medical Center Dr, Rm. 6E118 MSC 9706, Bethesda, MD, 20892-9704, USA
| | - Ruth M Pfeiffer
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, 9609 Medical Center Dr, Rm. 6E118 MSC 9706, Bethesda, MD, 20892-9704, USA
| | - Sam M Mbulaiteye
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, 9609 Medical Center Dr, Rm. 6E118 MSC 9706, Bethesda, MD, 20892-9704, USA.
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24
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Liao HM, Liu H, Lei H, Li B, Chin PJ, Tsai S, Bhatia K, Gutierrez M, Epelman S, Biggar RJ, Nkrumah F, Neequaye J, Ogwang MD, Reynolds SJ, Lo SC, Mbulaiteye SM. Frequency of EBV LMP-1 Promoter and Coding Variations in Burkitt Lymphoma Samples in Africa and South America and Peripheral Blood in Uganda. Cancers (Basel) 2018; 10:E177. [PMID: 29865259 PMCID: PMC6024959 DOI: 10.3390/cancers10060177] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2018] [Accepted: 05/29/2018] [Indexed: 12/30/2022] Open
Abstract
Epstein-Barr virus (EBV) is linked to several cancers, including endemic Burkitt lymphoma (eBL), but causal variants are unknown. We recently reported novel sequence variants in the LMP-1 gene and promoter in EBV genomes sequenced from 13 of 14 BL biopsies. Alignments of the novel sequence variants for 114 published EBV genomes, including 27 from BL cases, revealed four LMP-1 variant patterns, designated A to D. Pattern A variant was found in 48% of BL EBV genomes. Here, we used PCR-Sanger sequencing to evaluate 50 additional BL biopsies from Ghana, Brazil, and Argentina, and peripheral blood samples from 113 eBL cases and 115 controls in Uganda. Pattern A was found in 60.9% of 64 BL biopsies evaluated. Compared to PCR-negative subjects in Uganda, detection of Pattern A in peripheral blood was associated with eBL case status (odds ratio [OR] 31.7, 95% confidence interval: 6.8⁻149), controlling for relevant confounders. Variant Pattern A and Pattern D were associated with eBL case status, but with lower ORs (9.7 and 13.6, respectively). Our results support the hypothesis that EBV LMP-1 Pattern A may be associated with eBL, but it is not the sole associated variant. Further research is needed to replicate and elucidate our findings.
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Affiliation(s)
- Hsiao-Mei Liao
- Center for Biologics Evaluation and Research, Food and Drug Administration, White Oak, MD 20993, USA.
| | - Hebing Liu
- Center for Biologics Evaluation and Research, Food and Drug Administration, White Oak, MD 20993, USA.
| | - Heiyan Lei
- Center for Biologics Evaluation and Research, Food and Drug Administration, White Oak, MD 20993, USA.
| | - Bingjie Li
- Center for Biologics Evaluation and Research, Food and Drug Administration, White Oak, MD 20993, USA.
| | - Pei-Ju Chin
- Center for Biologics Evaluation and Research, Food and Drug Administration, White Oak, MD 20993, USA.
| | - Shien Tsai
- Center for Biologics Evaluation and Research, Food and Drug Administration, White Oak, MD 20993, USA.
| | | | - Marina Gutierrez
- Laboratorio Stamboulian, Laboratorio Stamboulian, Buenos Aires 1414, Argentina.
| | - Sidnei Epelman
- Department of Pediatric Oncology, St Marcelina Hospital, Sao Paolo 08270-070, Brazil.
| | - Robert J Biggar
- Infections and Immunoepidemiology Branch, National Cancer Institute, Bethesda, MD 20892, USA.
| | - Francis Nkrumah
- Noguchi Memorial Institute, Kor Le Bu University, P.O. Box LG 581 Legon, Accra, Ghana.
| | - Janet Neequaye
- Department of Child Health, University of Ghana, P.O. Box LG 25 Legon, Accra, Ghana.
| | - Martin D Ogwang
- EMBLEM Study, St. Mary's Hospital, Lacor, P.O. Box 180, Gulu, Uganda.
| | - Steven J Reynolds
- Division of Intramural Research, National Institute of Allergy and Infectious Diseases, Bethesda, MD 20892, USA.
| | - Shyh-Ching Lo
- Center for Biologics Evaluation and Research, Food and Drug Administration, White Oak, MD 20993, USA.
| | - Sam M Mbulaiteye
- Infections and Immunoepidemiology Branch, National Cancer Institute, Bethesda, MD 20892, USA.
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25
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Legason ID, Pfeiffer RM, Udquim KI, Bergen AW, Gouveia MH, Kirimunda S, Otim I, Karlins E, Kerchan P, Nabalende H, Bayanjargal A, Emmanuel B, Kagwa P, Talisuna AO, Bhatia K, Yeager M, Biggar RJ, Ayers LW, Reynolds SJ, Goedert JJ, Ogwang MD, Fraumeni JF, Prokunina-Olsson L, Mbulaiteye SM. Evaluating the Causal Link Between Malaria Infection and Endemic Burkitt Lymphoma in Northern Uganda: A Mendelian Randomization Study. EBioMedicine 2017; 25:58-65. [PMID: 29033373 PMCID: PMC5704046 DOI: 10.1016/j.ebiom.2017.09.037] [Citation(s) in RCA: 30] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2017] [Revised: 09/16/2017] [Accepted: 09/28/2017] [Indexed: 12/31/2022] Open
Abstract
Background Plasmodium falciparum (Pf) malaria infection is suspected to cause endemic Burkitt Lymphoma (eBL), but the evidence remains unsettled. An inverse relationship between sickle cell trait (SCT) and eBL, which supports that between malaria and eBL, has been reported before, but in small studies with low power. We investigated this hypothesis in children in a population-based study in northern Uganda using Mendelian Randomization. Methods Malaria-related polymorphisms (SCT, IL10, IL1A, CD36, SEMA3C, and IFNAR1) were genotyped in 202 eBL cases and 624 controls enrolled during 2010–2015. We modeled associations between genotypes and eBL or malaria using logistic regression. Findings SCT was associated with decreased risk of eBL (adjusted odds ratio [OR] 0·37, 95% CI 0·21–0·66; p = 0·0003). Decreased risk of eBL was associated with IL10 rs1800896-CT (OR 0·73, 95% CI 0·50–1·07) and -CC genotypes (OR 0·53, 95% CI 0·29–0·95, ptrend = 0·019); IL1A rs2856838-AG (OR 0·56, 95% CI 0·39–0·81) and -AA genotype (OR 0·50, 95% CI 0·28–1·01, ptrend = 0·0016); and SEMA3C rs4461841-CT or -CC genotypes (OR 0·57, 95% CI 0·35–0·93, p = 0·0193). SCT and IL10 rs1800896, IL1A rs2856838, but not SEMA3C rs4461841, polymorphisms were associated with decreased risk of malaria in the controls. Interpretation Our results support a causal effect of malaria infection on eBL. Mendelian randomization analysis was done to assess a causal relationship between malaria infection and endemic Burkitt lymphoma in Uganda Carriage of the sickle cell trait was associated with decreased risk of endemic Burkitt lymphoma Heterozygous or homozygous minor alleles of IL10 rs1800896, IL1A rs2856838, and SEMA3C rs4461841 were associated with decreased risk of endemic Burkitt lymphoma The inverse association between sickle cell trait and endemic Burkitt lymphoma supports a causal role of malaria in endemic Burkitt lymphoma
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Affiliation(s)
- Ismail D Legason
- EMBLEM Study, African Field Epidemiology Network, P.O. Box 12874, Kampala, Uganda
| | - Ruth M Pfeiffer
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, 9609 Medical Ctr Dr, Bethesda 20892, MD, USA.
| | - Krizia-Ivana Udquim
- Laboratory of Translational Genomics, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.
| | - Andrew W Bergen
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, 9609 Medical Ctr Dr, Bethesda 20892, MD, USA
| | - Mateus H Gouveia
- Instituto de Pesquisa Rene Rachou, Fundação Oswaldo Cruz, 30190-002 Belo Horizonte, Minas Gerais, Brazil
| | - Samuel Kirimunda
- Department of Medical Microbiology, College of Health Sciences, Makerere University, P.O. Box 7072, Kampala, Uganda
| | - Isaac Otim
- EMBLEM Study, African Field Epidemiology Network, P.O. Box 12874, Kampala, Uganda
| | - Eric Karlins
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, 9609 Medical Ctr Dr, Bethesda 20892, MD, USA.
| | - Patrick Kerchan
- EMBLEM Study, African Field Epidemiology Network, P.O. Box 12874, Kampala, Uganda
| | - Hadijah Nabalende
- EMBLEM Study, African Field Epidemiology Network, P.O. Box 12874, Kampala, Uganda
| | - Ariunaa Bayanjargal
- Laboratory of Translational Genomics, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Benjamin Emmanuel
- EMBLEM Study, African Field Epidemiology Network, P.O. Box 12874, Kampala, Uganda; Benjamin Emmanuel, Institute of Human Virology, University of Maryland School of Medicine, Baltimore, MD, USA.
| | - Paul Kagwa
- EMBLEM Study, African Field Epidemiology Network, P.O. Box 12874, Kampala, Uganda
| | - Ambrose O Talisuna
- World Health Organization, Regional Office for Africa, Brazzaville, Congo
| | - Kishor Bhatia
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, 9609 Medical Ctr Dr, Bethesda 20892, MD, USA.
| | - Meredith Yeager
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, 9609 Medical Ctr Dr, Bethesda 20892, MD, USA.
| | - Robert J Biggar
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, 9609 Medical Ctr Dr, Bethesda 20892, MD, USA
| | - Leona W Ayers
- Department of Pathology, The Ohio State University, Columbus, OH, USA.
| | - Steven J Reynolds
- Division of Intramural Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA.
| | - James J Goedert
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, 9609 Medical Ctr Dr, Bethesda 20892, MD, USA
| | - Martin D Ogwang
- EMBLEM Study, St. Mary's Hospital, Lacor, P.O. Box 180, Gulu, Uganda.
| | - Joseph F Fraumeni
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, 9609 Medical Ctr Dr, Bethesda 20892, MD, USA.
| | - Ludmila Prokunina-Olsson
- Laboratory of Translational Genomics, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.
| | - Sam M Mbulaiteye
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, 9609 Medical Ctr Dr, Bethesda 20892, MD, USA.
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