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Andika B, Mobegi V, Gathii K, Nyataya J, Maina N, Awinda G, Mutai B, Waitumbi J. Plasmodium falciparum population structure inferred by msp1 amplicon sequencing of parasites collected from febrile patients in Kenya. Malar J 2023; 22:263. [PMID: 37689681 PMCID: PMC10492417 DOI: 10.1186/s12936-023-04700-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2023] [Accepted: 09/01/2023] [Indexed: 09/11/2023] Open
Abstract
BACKGROUND Multiplicity of infection (MOI) is an important measure of Plasmodium falciparum diversity, usually derived from the highly polymorphic genes, such as msp1, msp2 and glurp as well as microsatellites. Conventional methods of deriving MOI lack fine resolution needed to discriminate minor clones. This study used amplicon sequencing (AmpliSeq) of P. falciparum msp1 (Pfmsp1) to measure spatial and temporal genetic diversity of P. falciparum. METHODS 264 P. falciparum positive blood samples collected from areas of differing malaria endemicities between 2010 and 2019 were used. Pfmsp1 gene was amplified and amplicon libraries sequenced on Illumina MiSeq. Sequences were aligned against a reference sequence (NC_004330.2) and clustered to detect fragment length polymorphism and amino acid variations. RESULTS Children < 5 years had higher parasitaemia (median = 23.5 ± 5 SD, p = 0.03) than the > 5-14 (= 25.3 ± 5 SD), and those > 15 (= 25.1 ± 6 SD). Of the alleles detected, 553 (54.5%) were K1, 250 (24.7%) MAD20 and 211 (20.8%) RO33 that grouped into 19 K1 allelic families (108-270 bp), 14 MAD20 (108-216 bp) and one RO33 (153 bp). AmpliSeq revealed nucleotide polymorphisms in alleles that had similar sizes, thus increasing the K1 to 104, 58 for MAD20 and 14 for RO33. By AmpliSeq, the mean MOI was 4.8 (± 0.78, 95% CI) for the malaria endemic Lake Victoria region, 4.4 (± 1.03, 95% CI) for the epidemic prone Kisii Highland and 3.4 (± 0.62, 95% CI) for the seasonal malaria Semi-Arid region. MOI decreased with age: 4.5 (± 0.76, 95% CI) for children < 5 years, compared to 3.9 (± 0.70, 95% CI) for ages 5 to 14 and 2.7 (± 0.90, 95% CI) for those > 15. Females' MOI (4.2 ± 0.66, 95% CI) was not different from males 4.0 (± 0.61, 95% CI). In all regions, the number of alleles were high in the 2014-2015 period, more so in the Lake Victoria and the seasonal transmission arid regions. CONCLUSION These findings highlight the added advantages of AmpliSeq in haplotype discrimination and the associated improvement in unravelling complexity of P. falciparum population structure.
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Affiliation(s)
- Brian Andika
- Basic Science Laboratory, United States Army Medical Research Directorate, Kisumu, Kenya
- Department of Biochemistry, Jomo Kenyatta University of Agriculture and Technology, Nairobi, Kenya
| | - Victor Mobegi
- Department of Biochemistry, University of Nairobi, Nairobi, Kenya
| | - Kimita Gathii
- Basic Science Laboratory, United States Army Medical Research Directorate, Kisumu, Kenya
| | - Josphat Nyataya
- Basic Science Laboratory, United States Army Medical Research Directorate, Kisumu, Kenya
| | - Naomi Maina
- Department of Biochemistry, Jomo Kenyatta University of Agriculture and Technology, Nairobi, Kenya
| | - George Awinda
- Basic Science Laboratory, United States Army Medical Research Directorate, Kisumu, Kenya
| | - Beth Mutai
- Basic Science Laboratory, United States Army Medical Research Directorate, Kisumu, Kenya
| | - John Waitumbi
- Basic Science Laboratory, United States Army Medical Research Directorate, Kisumu, Kenya.
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Kimita G, Nyataya J, Omuseni E, Sigei F, Lemtudo A, Muthanje E, Andika B, Liyai R, Githii R, Masakwe C, Ochola S, Awinda G, Kifude C, Mutai B, Gatata RM, Waitumbi J. Temporal lineage replacements and dominance of imported variants of concern during the COVID-19 pandemic in Kenya. Commun Med 2022; 2:103. [PMID: 35982756 PMCID: PMC9382597 DOI: 10.1038/s43856-022-00167-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2021] [Accepted: 07/29/2022] [Indexed: 11/09/2022] Open
Abstract
Abstract
Background
Kenya’s COVID-19 epidemic was seeded early in March 2020 and did not peak until early August 2020 (wave 1), late-November 2020 (wave 2), mid-April 2021 (wave 3), late August 2021 (wave 4), and mid-January 2022 (wave 5).
Methods
Here, we present SARS-CoV-2 lineages associated with the five waves through analysis of 1034 genomes, which included 237 non-variants of concern and 797 variants of concern (VOC) that had increased transmissibility, disease severity or vaccine resistance.
Results
In total 40 lineages were identified. The early European lineages (B.1 and B.1.1) were the first to be seeded. The B.1 lineage continued to expand and remained dominant, accounting for 60% (72/120) and 57% (45/79) in waves 1 and 2 respectively. Waves three, four and five respectively were dominated by VOCs that were distributed as follows: Alpha 58.5% (166/285), Delta 92.4% (327/354), Omicron 95.4% (188/197) and Beta at 4.2% (12/284) during wave 3 and 0.3% (1/354) during wave 4. Phylogenetic analysis suggests multiple introductions of variants from outside Kenya, more so during the first, third, fourth and fifth waves, as well as subsequent lineage diversification.
Conclusions
The data highlights the importance of genome surveillance in determining circulating variants to aid interpretation of phenotypes such as transmissibility, virulence and/or resistance to therapeutics/vaccines.
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Waitumbi JN, Omuseni E, Nyataya J, Masakhwe C, Sigei F, Lemtudo A, Awinda G, Muthanje E, Andika B, Githii R, Liyai R, Kimita G, Mutai B. COVID-19 mass testing and sequencing: Experiences from a laboratory in Western Kenya. Afr J Lab Med 2022; 11:1737. [PMID: 35937764 PMCID: PMC9350206 DOI: 10.4102/ajlm.v11i1.1737] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2021] [Accepted: 04/21/2022] [Indexed: 11/18/2022] Open
Abstract
Background The Basic Science Laboratory (BSL) of the Kenya Medical Research Institute/Walter Reed Project in Kisumu, Kenya addressed mass testing challenges posed by the emergent coronavirus disease 2019 (COVID-19) in an environment of global supply shortages. Before COVID-19, the BSL had adequate resources for disease surveillance and was therefore designated as one of the testing centres for COVID-19. Intervention By April 2020, the BSL had developed stringent safety procedures for receiving and mass testing potentially infectious nasal specimens. To accommodate increased demand, BSL personnel worked in units: nucleic acid extraction, polymerase chain reaction, and data and quality assurance checks. The BSL adopted procedures for tracking sample integrity and minimising cross-contamination. Lessons learnt Between May 2020 and January 2022, the BSL tested 63 542 samples, of which 5375 (8.59%) were positive for COVID-19; 1034 genomes were generated by whole genome sequencing and deposited in the Global Initiative on Sharing All Influenza Data database to aid global tracking of viral lineages. At the height of the pandemic (August and November 2020, April and August 2021 and January 2022), the BSL was testing more than 500 samples daily, compared to 150 per month prior to COVID-19. An important lesson from the COVID-19 pandemic was the discovery of untapped resilience within BSL personnel that allowed adaptability when the situation demanded. Strict safety procedures and quality management that are often difficult to maintain became routine. Recommendations A fundamental lesson to embrace is that there is no ‘one-size-fits-all’ approach and adaptability is the key to success.
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Affiliation(s)
- John N Waitumbi
- Kenya Medical Research Institute (KEMRI)/United States Army Medical Research Directorate-Africa, Basic Science Laboratory, Kisumu Field Station, Kisumu, Kenya
| | - Esther Omuseni
- Kenya Medical Research Institute (KEMRI)/United States Army Medical Research Directorate-Africa, Basic Science Laboratory, Kisumu Field Station, Kisumu, Kenya
| | - Josphat Nyataya
- Kenya Medical Research Institute (KEMRI)/United States Army Medical Research Directorate-Africa, Basic Science Laboratory, Kisumu Field Station, Kisumu, Kenya
| | - Clement Masakhwe
- Kenya Medical Research Institute (KEMRI)/United States Army Medical Research Directorate-Africa, Basic Science Laboratory, Kisumu Field Station, Kisumu, Kenya
| | - Faith Sigei
- Kenya Medical Research Institute (KEMRI)/United States Army Medical Research Directorate-Africa, Basic Science Laboratory, Kisumu Field Station, Kisumu, Kenya
| | - Allan Lemtudo
- Kenya Medical Research Institute (KEMRI)/United States Army Medical Research Directorate-Africa, Basic Science Laboratory, Kisumu Field Station, Kisumu, Kenya
| | - George Awinda
- Kenya Medical Research Institute (KEMRI)/United States Army Medical Research Directorate-Africa, Basic Science Laboratory, Kisumu Field Station, Kisumu, Kenya
| | - Eric Muthanje
- Department of Biological Sciences, University of Embu, Embu, Kenya
| | - Brian Andika
- Department of Molecular Biology and Bioinformatics, Jomo Kenyatta, University of Agriculture and Technology, Juja, Kenya
| | - Rachel Githii
- Kenya Medical Research Institute (KEMRI)/United States Army Medical Research Directorate-Africa, Basic Science Laboratory, Kisumu Field Station, Kisumu, Kenya
| | - Rehema Liyai
- Kenya Medical Research Institute (KEMRI)/United States Army Medical Research Directorate-Africa, Basic Science Laboratory, Kisumu Field Station, Kisumu, Kenya
| | - Gathii Kimita
- Kenya Medical Research Institute (KEMRI)/United States Army Medical Research Directorate-Africa, Basic Science Laboratory, Kisumu Field Station, Kisumu, Kenya
| | - Beth Mutai
- Kenya Medical Research Institute (KEMRI)/United States Army Medical Research Directorate-Africa, Basic Science Laboratory, Kisumu Field Station, Kisumu, Kenya
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Pollett S, Gathii K, Figueroa K, Rutvisuttinunt W, Srikanth A, Nyataya J, Mutai BK, Awinda G, Jarman RG, Berry IM, Waitumbi JN. The evolution of dengue-2 viruses in Malindi, Kenya and greater East Africa: Epidemiological and immunological implications. Infect Genet Evol 2020; 90:104617. [PMID: 33161179 DOI: 10.1016/j.meegid.2020.104617] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/15/2020] [Revised: 10/15/2020] [Accepted: 11/01/2020] [Indexed: 01/17/2023]
Abstract
Kenya experiences a substantial burden of dengue, yet there are very few DENV-2 sequence data available from this country and indeed the entire continent of Africa. We therefore undertook whole genome sequencing and evolutionary analysis of fourteen dengue virus (DENV)-2 strains sampled from Malindi sub-County Hospital during the 2017 DENV-2 outbreak in the Kenyan coast. We further performed an extended East African phylogenetic analysis, which leveraged 26 complete African env genes. Maximum likelihood analysis showed that the 2017 outbreak was due to the Cosmopolitan genotype, indicating that this has been the only confirmed human DENV-2 genotype circulating in Africa to date. Phylogeographic analyses indicated transmission of DENV-2 viruses between East Africa and South/South-West Asia. Time-scaled genealogies show that DENV-2 viruses shows spatial structure at the country level in Kenya, with a time-to-most-common-recent ancestor analysis indicating that these DENV-2 strains were circulating for up to 5.38 years in Kenya before detection in the 2017 Malindi outbreak. Selection pressure analyses indicated sampled Kenyan DENV strains uniquely being under positive selection at 6 sites, predominantly across the non-structural genes, and epitope prediction analyses showed that one of these sites corresponds to a putative predicted MHC-I CD8+ DENV-2 Cosmopolitan virus epitope only evident in a sampled Kenyan virus. Taken together, our findings indicate that the 2017 Malindi DENV-2 outbreak arose from a strain which had circulated for several years in Kenya before recent detection, has experienced diversifying selection pressure, and may contain new putative immunogens relevant to vaccine design. These findings prompt further genomic epidemiology studies in this and other Kenyan locations to further elucidate the transmission dynamics of DENV in this region.
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Affiliation(s)
- Simon Pollett
- Viral Diseases Branch, Walter Reed Army Institute of Research, Silver Spring, MD, United States of America
| | - Kimita Gathii
- Basic Science Laboratory, US Army Medical Research Directorate - Africa (USAMRD-A), Kisumu, Kenya
| | - Katherine Figueroa
- Viral Diseases Branch, Walter Reed Army Institute of Research, Silver Spring, MD, United States of America
| | - Wiriya Rutvisuttinunt
- Viral Diseases Branch, Walter Reed Army Institute of Research, Silver Spring, MD, United States of America
| | - Abhi Srikanth
- Viral Diseases Branch, Walter Reed Army Institute of Research, Silver Spring, MD, United States of America
| | - Josphat Nyataya
- Basic Science Laboratory, US Army Medical Research Directorate - Africa (USAMRD-A), Kisumu, Kenya
| | - Beth K Mutai
- Basic Science Laboratory, US Army Medical Research Directorate - Africa (USAMRD-A), Kisumu, Kenya
| | - George Awinda
- Basic Science Laboratory, US Army Medical Research Directorate - Africa (USAMRD-A), Kisumu, Kenya
| | - Richard G Jarman
- Viral Diseases Branch, Walter Reed Army Institute of Research, Silver Spring, MD, United States of America
| | - Irina Maljkovic Berry
- Viral Diseases Branch, Walter Reed Army Institute of Research, Silver Spring, MD, United States of America.
| | - J N Waitumbi
- Basic Science Laboratory, US Army Medical Research Directorate - Africa (USAMRD-A), Kisumu, Kenya
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Morang'a C, Ayieko C, Awinda G, Achilla R, Moseti C, Ogutu B, Waitumbi J, Wanja E. Stabilization of RDT target antigens present in dried Plasmodium falciparum-infected samples for validating malaria rapid diagnostic tests at the point of care. Malar J 2018; 17:10. [PMID: 29310651 PMCID: PMC5759799 DOI: 10.1186/s12936-017-2155-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2017] [Accepted: 12/23/2017] [Indexed: 01/24/2023] Open
Abstract
BACKGROUND Malaria rapid diagnostic tests (RDTs) are a great achievement in implementation of parasite based diagnosis as recommended by World Health Organization. A major drawback of RDTs is lack of positive controls to validate different batches/lots at the point of care. Dried Plasmodium falciparum-infected samples with the RDT target antigens have been suggested as possible positive control but their utility in resource limited settings is hampered by rapid loss of activity over time. METHODS This study evaluated the effectiveness of chemical additives to improve long term storage stability of RDT target antigens (HRP2, pLDH and aldolase) in dried P. falciparum-infected samples using parasitized whole blood and culture samples. Samples were treated with ten selected chemical additives mainly sucrose, trehalose, LDH stabilizer and their combinations. After baseline activity was established, the samples were air dried in bio-safety cabinet and stored at room temperatures (~ 25 °C). Testing of the stabilized samples using SD Bioline, BinaxNOW, CareStart, and First Response was done at intervals for 53 weeks. RESULTS Stability of HRP2 at ambient temperature was reported at 21-24 weeks while that of PAN antigens (pLDH and aldolase) was 2-18 weeks of storage at all parasite densities. The ten chemical additives increased the percentage stability of HRP2 and PAN antigens. Sucrose alone and its combinations with Alsever's solution or biostab significantly increased stability of HRP2 by 56% at 2000 p/µL (p < 0.001). Trehalose and its combinations with biostab, sucrose or glycerol significantly increased stability of HRP2 by 57% (p < 0.001). Unlike sucrose, the stability of the HRP2 was significantly retained by trehalose at lower concentrations (500, and 200 p/µL). Trehalose in combination biostab stabilizer increased the percentage stability of PAN antigens by 42, and 32% at 2000 and 500 p/µL respectively (p < 0.01). This was also the chemical combination with the shortest reconstitution time (~ < 20 min). CONCLUSIONS These findings confirm that stabilizing RDT target antigens in dried P. falciparum-infected samples using chemical additives provides field-stable positive controls for malaria RDTs.
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Affiliation(s)
- Collins Morang'a
- Maseno University, P.O Box Private Bag, Maseno, Kenya. .,United States Army Medical Research Directorate, P.O Box 54, Kisumu, 40100, Kenya.
| | - Cyrus Ayieko
- Maseno University, P.O Box Private Bag, Maseno, Kenya
| | - George Awinda
- United States Army Medical Research Directorate, P.O Box 54, Kisumu, 40100, Kenya
| | - Rachel Achilla
- United States Army Medical Research Directorate, P.O Box 54, Kisumu, 40100, Kenya
| | - Caroline Moseti
- United States Army Medical Research Directorate, P.O Box 54, Kisumu, 40100, Kenya
| | - Bernhards Ogutu
- Kenya Medical Research Institute, P.O. Box 54840-00200, Nairobi, Kenya
| | - John Waitumbi
- United States Army Medical Research Directorate, P.O Box 54, Kisumu, 40100, Kenya
| | - Elizabeth Wanja
- United States Army Medical Research Directorate-Armed Forces Research Institute of Medical Sciences, Bangkok, 10400, Thailand
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Osoga J, Waitumbi J, Guyah B, Sande J, Arima C, Ayaya M, Moseti C, Morang'a C, Wahome M, Achilla R, Awinda G, Nyakoe N, Wanja E. Comparative evaluation of fluorescent in situ hybridization and Giemsa microscopy with quantitative real-time PCR technique in detecting malaria parasites in a holoendemic region of Kenya. Malar J 2017; 16:297. [PMID: 28738868 PMCID: PMC5525264 DOI: 10.1186/s12936-017-1943-4] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2016] [Accepted: 07/18/2017] [Indexed: 11/29/2022] Open
Abstract
Background Early and accurate diagnosis of malaria is important in treatment as well as in the clinical evaluation of drugs and vaccines. Evaluation of Giemsa-stained smears remains the gold standard for malaria diagnosis, although diagnostic errors and potential bias estimates of protective efficacy have been reported in practice. Plasmodium genus fluorescent in situ hybridization (P-Genus FISH) is a microscopy-based method that uses fluorescent labelled oligonucleotide probes targeted to pathogen specific ribosomal RNA fragments to detect malaria parasites in whole blood. This study sought to evaluate the diagnostic performance of P-Genus FISH alongside Giemsa microscopy compared to quantitative reverse transcription polymerase chain reaction (qRT-PCR) in a clinical setting. Method Five hundred study participants were recruited prospectively and screened for Plasmodium parasites by P-Genus FISH assay, and Giemsa microscopy. The microscopic methods were performed by two trained personnel and were blinded, and if the results were discordant a third reading was performed as a tie breaker. The diagnostic performance of both methods was evaluated against qRT-PCR as a more sensitive method. Results The number of Plasmodium positive cases was 26.8% by P-Genus FISH, 33.2% by Giemsa microscopy, and 51.2% by qRT-PCR. The three methods had 46.8% concordant results with 61 positive cases and 173 negative cases. Compared to qRT-PCR the sensitivity and specificity of P-Genus FISH assay was 29.3 and 75.8%, respectively, while microscopy had 58.2 and 93.0% respectively. Microscopy had a higher positive and negative predictive values (89.8 and 68.0% respectively) compared to P-Genus FISH (56.0 and 50.5%). In overall, microscopy had a good measure of agreement (76%, k = 0.51) compared to P-Genus FISH (52%, k = 0.05). Conclusion The diagnostic performance of P-Genus FISH was shown to be inferior to Giemsa microscopy in the clinical samples. This hinders the possible application of the method in the field despite the many advantages of the method especially diagnosis of low parasite density infections. The P-Genus assay has great potential but application of the method in clinical setting would rely on extensive training of microscopist and continuous proficiency testing.
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Affiliation(s)
- Joseph Osoga
- Malaria Diagnostics Center, Kenya Medical Research Institute/United States Army Medical Research Directorate-Kenya, Box 54, Kisumu, 40100, Kenya.
| | - John Waitumbi
- Basic Sciences Laboratory, Kenya Medical Research Institute/United States Army Medical Research Directorate-Kenya, Box 54, Kisumu, 40100, Kenya
| | - Bernard Guyah
- Biomedical Sciences and Technology Department, School of Public Health and Community Development, Maseno University, Box Private Bag, Maseno, Kenya
| | - James Sande
- Malaria Diagnostics Center, Kenya Medical Research Institute/United States Army Medical Research Directorate-Kenya, Box 54, Kisumu, 40100, Kenya
| | - Cornel Arima
- Malaria Diagnostics Center, Kenya Medical Research Institute/United States Army Medical Research Directorate-Kenya, Box 54, Kisumu, 40100, Kenya
| | - Michael Ayaya
- Malaria Diagnostics Center, Kenya Medical Research Institute/United States Army Medical Research Directorate-Kenya, Box 54, Kisumu, 40100, Kenya
| | - Caroline Moseti
- Malaria Diagnostics Center, Kenya Medical Research Institute/United States Army Medical Research Directorate-Kenya, Box 54, Kisumu, 40100, Kenya
| | - Collins Morang'a
- Malaria Diagnostics Center, Kenya Medical Research Institute/United States Army Medical Research Directorate-Kenya, Box 54, Kisumu, 40100, Kenya
| | - Martin Wahome
- Basic Sciences Laboratory, Kenya Medical Research Institute/United States Army Medical Research Directorate-Kenya, Box 54, Kisumu, 40100, Kenya
| | - Rachel Achilla
- Malaria Diagnostics Center, Kenya Medical Research Institute/United States Army Medical Research Directorate-Kenya, Box 54, Kisumu, 40100, Kenya
| | - George Awinda
- Basic Sciences Laboratory, Kenya Medical Research Institute/United States Army Medical Research Directorate-Kenya, Box 54, Kisumu, 40100, Kenya
| | - Nancy Nyakoe
- Basic Sciences Laboratory, Kenya Medical Research Institute/United States Army Medical Research Directorate-Kenya, Box 54, Kisumu, 40100, Kenya
| | - Elizabeth Wanja
- United States Army Medical Research Directorate-Armed Forces Research Institute of Medical Sciences, Bangkok, 10400, Thailand
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Juma BW, Wadegu M, Makio A, Kirera R, Eyase F, Awinda G, Kamanza J, Schnabel D, Wurapa EK. A Survey of Biosafety and Biosecurity Practices in the United States Army Medical Research Unit-Kenya (USAMRU-K). Appl Biosaf 2014. [DOI: 10.1177/153567601401900104] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
Affiliation(s)
| | - Meshack Wadegu
- United States Army Medical Research Unit—Kenya, Nairobi, Kenya
| | - Albina Makio
- United States Army Medical Research Unit—Kenya, Nairobi, Kenya
| | - Ronald Kirera
- United States Army Medical Research Unit—Kenya, Nairobi, Kenya
| | - Fredrick Eyase
- United States Army Medical Research Unit—Kenya, Nairobi, Kenya
| | - George Awinda
- United States Army Medical Research Unit—Kenya, Nairobi, Kenya
| | - John Kamanza
- United States Army Medical Research Unit—Kenya, Nairobi, Kenya
| | - David Schnabel
- United States Army Medical Research Unit—Kenya, Nairobi, Kenya
| | - Eyako K. Wurapa
- United States Army Medical Research Unit—Kenya, Nairobi, Kenya
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Martin SK, Rajasekariah GH, Awinda G, Waitumbi J, Kifude C. Unified parasite lactate dehydrogenase and histidine-rich protein ELISA for quantification of Plasmodium falciparum. Am J Trop Med Hyg 2009; 80:516-522. [PMID: 19346368] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/27/2023] Open
Abstract
There is a need for more objective and quantitative tools to replace microscopy in malaria diagnosis. Emphasis has recently been placed on alternative methods such as immunochromatography-based rapid tests. However, these tests provide only qualitative results. Two bio-molecules, parasite lactate dehydrogenase (pLDH) and histidine-rich proteins (HRPs), that are released by the intra-erythrocytic stages of the parasite offer certain specific characteristics that could potentially improve malaria diagnosis. In this paper, we describe a protocol for a unified sandwich ELISA that allows for the separate but concurrent measurement of pLDH and HRP biomolecules in aliquots taken from the same samples. Freshly drawn blood from a healthy unexposed adult male was used to serially dilute in vitro cultivated and synchronized ring stage Plasmodium falciparum parasites. Commercially available ELISA formats were modified to allow for the measurement of pLDH and HRP from aliquots of the same samples. The pLDH and HRP levels in the samples spiked with known numbers of infected red blood cells (iRBCs) were measured, and the values were used to generate standard graphs. The standard graphs were used to estimate the numbers of iRBCs in test samples. Serially diluted recombinant proteins were similarly used to generate a calibration curve, allowing for the expression of test results in nanograms of their respective recombinant protein. Levels of pLDH and HRPs were determined by using 1) P. falciparum culture material (cells and medium) 2) P. falciparum infected human blood (N = 6) samples, and 3) plasma from P. falciparum-infected patient (N = 22) samples. The parasite density of all culture and infected patient samples was also estimated by microscopy. Both pLDH and HRP levels correlated positively with the parasite density assessed by microscopy: Pearson correlation coefficient pLDH (r = 0.754, P < 0.0001, 95% CI: 0.47-0.89); HRP (r = 0.552, P < 0.007, 95% CI: 0.16-0.79). The HRPs seem to be released in larger quantities than pLDH (in a ratio of ~1 pLDH:~6 HRP), making the detection of HRP in culture material, blood, and plasma easier. The modified ELISA assay with quantitative measurement of pLDH and HRPs may provide a valuable tool for malaria research and patient management.
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Martin SK, Waitumbi J, Awinda G, Rajasekariah GH, Kifude C. Unified Parasite Lactate Dehydrogenase and Histidine-Rich Protein ELISA for Quantification of Plasmodium falciparum. Am J Trop Med Hyg 2009. [DOI: 10.4269/ajtmh.2009.80.516] [Citation(s) in RCA: 42] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
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