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Grudda T, Jiang C, Lo CM, Skinner NE, Sulkowski MS, Balagopal A, Thio CL. High-dimensional droplet digital PCR of multiple hepatitis B splice variants in serum, liver, and tissue culture. J Virol Methods 2025; 336:115155. [PMID: 40209859 DOI: 10.1016/j.jviromet.2025.115155] [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: 01/23/2025] [Revised: 03/25/2025] [Accepted: 04/03/2025] [Indexed: 04/12/2025]
Abstract
Hepatitis B virus (HBV) affects approximately 2 billion individuals; 254 million have chronic infection. The roles of spliced HBV (spHBV) RNAs in human infection are poorly understood partly due to limitations in quantitative methods. We designed and multiplexed long amplicon (0.3-2kbp) ddPCR assays that simultaneously quantify the most frequently observed spHBV isoforms (sp1, sp2, sp3, sp8, sp9) alongside unspliced pregenomic RNA (pgRNA). Our innovations include the use of ddPCR, long amplicons, and high-dimensional multiplexing. We tested primers and probes using qPCR on synthetic DNA targets to identify a high-fidelity combination recognizing HBV genotype A viruses. Using common forward and reverse primers we accounted for PCR efficiency differences between amplicons of differing size. We altered denaturation and annealing temperatures to enrich spHBV, the minority population of total HBV RNA. To achieve higher-order multiplexing, we increased the number of cycles to 80, added a post-reverse transcription cleanup step, and tested > 360 oligo concentration combinations. We performed spatial transcriptomic sequencing on liver tissue to confirm splice junctions measured by ddPCR. We successfully quantified spHBV and pgRNA in serum, liver, and HBV-infected HepG2NTCP cells. Our assay enables direct, sensitive quantification of spHBV and full-length pgRNA from serum, liver, and tissue culture samples, which will facilitate studies on the impact of spHBV on HBV infection outcomes in people. This technique has potential applications in HBV research and therapy development, with broader implications in virology and oncology.
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Affiliation(s)
- Tanner Grudda
- Department of Molecular Microbiology and Immunology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA
| | - Chenkai Jiang
- Department of Molecular Microbiology and Immunology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA
| | - Che-Min Lo
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Nicole E Skinner
- The Abigail Wexner Research Institute, Nationwide Children's Hospital, Columbus, OH, USA; Department of Internal Medicine, The Ohio State University College of Medicine, Columbus, OH, USA
| | - Mark S Sulkowski
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Ashwin Balagopal
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA.
| | - Chloe L Thio
- Department of Molecular Microbiology and Immunology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA; Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
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Aranda-Díaz A, Neubauer Vickers E, Murie K, Palmer B, Hathaway N, Gerlovina I, Boene S, García-Ulloa M, Cisteró P, Katairo T, Semakuba FD, Nsengimaana B, Gwarinda H, García-Fernández C, Louie W, Esayas E, Da Silva C, Datta D, Kiyaga S, Wiringilimaana I, Feleke SM, Bennett A, Smith JL, Gadisa E, Parr JB, Conrad MD, Raman J, Tukwasibwe S, Ssewanyana I, Rovira-Vallbona E, Tato CM, Briggs J, Mayor A, Greenhouse B. Sensitive and modular amplicon sequencing of Plasmodium falciparum diversity and resistance for research and public health. Sci Rep 2025; 15:10737. [PMID: 40155691 PMCID: PMC11953298 DOI: 10.1038/s41598-025-94716-5] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2024] [Accepted: 03/17/2025] [Indexed: 04/01/2025] Open
Abstract
Targeted amplicon sequencing is a powerful and efficient tool for interrogating the Plasmodium falciparum genome, generating actionable data from infections to complement traditional malaria epidemiology. For maximum impact, genomic tools should be multi-purpose, robust, sensitive, and reproducible. We developed, characterized, and implemented MAD4HatTeR, an amplicon sequencing panel based on Multiplex Amplicons for Drug, Diagnostic, Diversity, and Differentiation Haplotypes using Targeted Resequencing, along with a bioinformatic pipeline for data analysis. Additionally, we introduce an analytical approach to detect gene duplications and deletions from amplicon sequencing data. Laboratory control and field samples were used to demonstrate the panel's high sensitivity and robustness. MAD4HatTeR targets 165 highly diverse loci, focusing on multiallelic microhaplotypes, key markers for drug and diagnostic resistance (including duplications and deletions), and CSP and potential vaccine targets. The panel can also detect non-falciparum Plasmodium species. MAD4HatTeR successfully generated data from low-parasite-density dried blood spot and mosquito midgut samples and detected minor alleles at within-sample allele frequencies as low as 1% with high specificity in high-parasite-density dried blood spot samples. Gene deletions and duplications were reliably detected in mono- and polyclonal controls. Data generated by MAD4HatTeR were highly reproducible across multiple laboratories. The successful implementation of MAD4HatTeR in five laboratories, including three in malaria-endemic African countries, showcases its feasibility and reproducibility in diverse settings. MAD4HatTeR is thus a powerful tool for research and a robust resource for malaria public health surveillance and control.
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Affiliation(s)
- Andrés Aranda-Díaz
- EPPIcenter Research Program, Division of HIV, Infectious Diseases, and Global Medicine, Department of Medicine, University of California, San Francisco, CA, USA.
- Chan Zuckerberg Biohub, San Francisco, CA, USA.
| | - Eric Neubauer Vickers
- EPPIcenter Research Program, Division of HIV, Infectious Diseases, and Global Medicine, Department of Medicine, University of California, San Francisco, CA, USA
| | - Kathryn Murie
- EPPIcenter Research Program, Division of HIV, Infectious Diseases, and Global Medicine, Department of Medicine, University of California, San Francisco, CA, USA
| | - Brian Palmer
- EPPIcenter Research Program, Division of HIV, Infectious Diseases, and Global Medicine, Department of Medicine, University of California, San Francisco, CA, USA
| | - Nicholas Hathaway
- EPPIcenter Research Program, Division of HIV, Infectious Diseases, and Global Medicine, Department of Medicine, University of California, San Francisco, CA, USA
| | - Inna Gerlovina
- EPPIcenter Research Program, Division of HIV, Infectious Diseases, and Global Medicine, Department of Medicine, University of California, San Francisco, CA, USA
| | - Simone Boene
- Centro de Investigação em Saúde de Manhiça, Maputo, Mozambique
- ISGlobal, Barcelona, Spain
| | | | | | - Thomas Katairo
- Infectious Diseases Research Collaboration, Kampala, Uganda
| | | | | | - Hazel Gwarinda
- Laboratory for Antimalarial Resistance Monitoring and Malaria Operational Research (ARMMOR), Centre of Emerging Zoonotic and Parasitic Diseases, National Institute for Communicable Diseases, Johannesburg, South Africa
| | | | - William Louie
- EPPIcenter Research Program, Division of HIV, Infectious Diseases, and Global Medicine, Department of Medicine, University of California, San Francisco, CA, USA
| | | | | | | | - Shahiid Kiyaga
- Infectious Diseases Research Collaboration, Kampala, Uganda
- Department of Immunology and Molecular Biology, College of Health Sciences, Makerere University, Kampala, Uganda
- The African Center of Excellence in Bioinformatics and Data Intensive Sciences, Kampala, Uganda
| | | | - Sindew Mekasha Feleke
- Ethiopian Public Health Institute, Addis Ababa, Ethiopia
- Department of Environment and Genetics, La Trobe University, Melbourne, Australia
| | | | - Jennifer L Smith
- Global Health Group, Malaria Elimination Initiative, University of California, San Francisco, USA
- Department of Epidemiology & Biostatistics, University of California, San Francisco, USA
| | | | - Jonathan B Parr
- Division of Infectious Diseases, University of North Carolina, Chapel Hill, NC, USA
| | - Melissa D Conrad
- Division of HIV, Infectious Diseases, and Global Medicine, Department of Medicine, University of California, San Francisco, CA, USA
| | - Jaishree Raman
- Laboratory for Antimalarial Resistance Monitoring and Malaria Operational Research (ARMMOR), Centre of Emerging Zoonotic and Parasitic Diseases, National Institute for Communicable Diseases, Johannesburg, South Africa
- Wits Research Institute for Malaria, University of Witwatersrand, Johannesburg, South Africa
- University of Pretoria Institute for Sustainable Malaria Control (UPISMC), University of Pretoria, Pretoria, South Africa
| | | | | | | | | | - Jessica Briggs
- EPPIcenter Research Program, Division of HIV, Infectious Diseases, and Global Medicine, Department of Medicine, University of California, San Francisco, CA, USA
| | - Alfredo Mayor
- Centro de Investigação em Saúde de Manhiça, Maputo, Mozambique
- ISGlobal, Barcelona, Spain
- Facultat de Medicina i Ciències de la Salut, Universitat de Barcelona (UB), Barcelona, Spain
- Department of Physiologic Sciences, Faculty of Medicine, Universidade Eduardo Mondlane, Maputo, Mozambique
| | - Bryan Greenhouse
- EPPIcenter Research Program, Division of HIV, Infectious Diseases, and Global Medicine, Department of Medicine, University of California, San Francisco, CA, USA
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Aranda-Díaz A, Vickers EN, Murie K, Palmer B, Hathaway N, Gerlovina I, Boene S, Garcia-Ulloa M, Cisteró P, Katairo T, Semakuba FD, Nsengimaana B, Gwarinda H, García-Fernández C, Louie W, Esayas E, Da Silva C, Datta D, Kiyaga S, Wiringilimaana I, Fekele SM, Bennett A, Smith JL, Gadisa E, Parr JB, Conrad M, Raman J, Tukwasibwe S, Ssewanyana I, Rovira-Vallbona E, Tato CM, Briggs J, Mayor A, Greenhouse B. Sensitive and modular amplicon sequencing of Plasmodium falciparum diversity and resistance for research and public health. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2025:2024.08.22.609145. [PMID: 39229023 PMCID: PMC11370457 DOI: 10.1101/2024.08.22.609145] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 09/05/2024]
Abstract
Background Targeted amplicon sequencing is a powerful and efficient tool for interrogating the Plasmodium falciparum genome, generating actionable data from infections to complement traditional malaria epidemiology. For maximum impact, genomic tools should be multi-purpose, robust, sensitive, and reproducible. Methods We developed, characterized, and implemented MAD4HatTeR, an amplicon sequencing panel based on Multiplex Amplicons for Drug, Diagnostic, Diversity, and Differentiation Haplotypes using Targeted Resequencing, along with a bioinformatic pipeline for data analysis. Additionally, we introduce an analytical approach to detect gene duplications and deletions from amplicon sequencing data. Laboratory control and field samples were used to demonstrate the panel's high sensitivity and robustness. Results MAD4HatTeR targets 165 highly diverse loci, focusing on multiallelic microhaplotypes, key markers for drug and diagnostic resistance (including duplications and deletions), and csp and potential vaccine targets. The panel can also detect non-falciparum Plasmodium species. MAD4HatTeR successfully generated data from low-parasite-density dried blood spot and mosquito midgut samples, and detected minor alleles at within-sample allele frequencies as low as 1% with high specificity in high-parasite-density dried blood spot samples. Gene deletions and duplications were reliably detected in mono- and polyclonal controls. Data generated by MAD4HatTeR were highly reproducible across multiple laboratories. Conclusions The successful implementation of MAD4HatTeR in five laboratories, including three in malaria-endemic African countries, showcases its feasibility and reproducibility in diverse settings. MAD4HatTeR is thus a powerful tool for research and a robust resource for malaria public health surveillance and control.
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Affiliation(s)
- Andrés Aranda-Díaz
- EPPIcenter Research Program, Division of HIV, Infectious Diseases, and Global Medicine, Department of Medicine, University of California, San Francisco, California, USA
- Chan Zuckerberg Biohub, San Francisco, California, USA
| | - Eric Neubauer Vickers
- EPPIcenter Research Program, Division of HIV, Infectious Diseases, and Global Medicine, Department of Medicine, University of California, San Francisco, California, USA
| | - Kathryn Murie
- EPPIcenter Research Program, Division of HIV, Infectious Diseases, and Global Medicine, Department of Medicine, University of California, San Francisco, California, USA
| | - Brian Palmer
- EPPIcenter Research Program, Division of HIV, Infectious Diseases, and Global Medicine, Department of Medicine, University of California, San Francisco, California, USA
| | - Nicholas Hathaway
- EPPIcenter Research Program, Division of HIV, Infectious Diseases, and Global Medicine, Department of Medicine, University of California, San Francisco, California, USA
| | - Inna Gerlovina
- EPPIcenter Research Program, Division of HIV, Infectious Diseases, and Global Medicine, Department of Medicine, University of California, San Francisco, California, USA
| | - Simone Boene
- Centro de Investigação em Saúde de Manhiça, Maputo, Mozambique
| | | | | | - Thomas Katairo
- Infectious Diseases Research Collaboration, Kampala, Uganda
| | | | | | - Hazel Gwarinda
- Laboratory for Antimalarial Resistance Monitoring and Malaria Operational Research (ARMMOR), Centre of Emerging Zoonotic and Parasitic Diseases, National Institute for Communicable Diseases, Johannesburg, South Africa
| | | | - William Louie
- EPPIcenter Research Program, Division of HIV, Infectious Diseases, and Global Medicine, Department of Medicine, University of California, San Francisco, California, USA
| | | | | | | | - Shahiid Kiyaga
- Infectious Diseases Research Collaboration, Kampala, Uganda
- Department of Immunology and Molecular Biology, College of Health Sciences, Makerere University, Kampala, Uganda
| | | | - Sindew Mekasha Fekele
- Ethiopian Public Health Institute, Addis Ababa, Ethiopia
- Department of Environment and Genetics, La Trobe University, Melbourne, Australia
| | | | - Jennifer L. Smith
- Malaria Elimination Initiative, Global Health Group, University of California, San Francisco, United States of America
- Department of Epidemiology & Biostatistics, University of California, San Francisco, United States of America
| | | | - Jonathan B. Parr
- Division of Infectious Diseases, University of North Carolina at Chapel Hill, North Carolina, USA
| | - Melissa Conrad
- Division of HIV, Infectious Diseases, and Global Medicine, Department of Medicine, University of California, San Francisco, California, USA
| | - Jaishree Raman
- Laboratory for Antimalarial Resistance Monitoring and Malaria Operational Research (ARMMOR), Centre of Emerging Zoonotic and Parasitic Diseases, National Institute for Communicable Diseases, Johannesburg, South Africa
- Wits Research Institute for Malaria, University of Witwatersrand, Johannesburg, South Africa
- University of Pretoria Institute for Sustainable Malaria Control (UPISMC), University of Pretoria, Pretoria, South Africa
| | | | | | | | | | - Jessica Briggs
- EPPIcenter Research Program, Division of HIV, Infectious Diseases, and Global Medicine, Department of Medicine, University of California, San Francisco, California, USA
| | - Alfredo Mayor
- Centro de Investigação em Saúde de Manhiça, Maputo, Mozambique
- ISGlobal, Barcelona, Spain
- Facultat de Medicina i Ciències de la Salut, Universitat de Barcelona (UB), Barcelona, Spain
- Department of Physiologic Sciences, Faculty of Medicine, Universidade Eduardo Mondlane, Maputo, Mozambique
| | - Bryan Greenhouse
- EPPIcenter Research Program, Division of HIV, Infectious Diseases, and Global Medicine, Department of Medicine, University of California, San Francisco, California, USA
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4
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Sadler JM, Simkin A, Tchuenkam VPK, Gerdes Gyuricza I, Fola AA, Wamae K, Assefa A, Niaré K, Thwai K, White SJ, Moss WJ, Dinglasan RR, Nsango SE, Tume CB, Parr JB, Ali IM, Bailey JA, Juliano JJ. Application of a new highly multiplexed amplicon sequencing tool to evaluate Plasmodium falciparum antimalarial resistance and relatedness in individual and pooled samples from Dschang, Cameroon. FRONTIERS IN PARASITOLOGY 2025; 3:1509261. [PMID: 39975479 PMCID: PMC11835963 DOI: 10.3389/fpara.2024.1509261] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/10/2024] [Accepted: 12/30/2024] [Indexed: 02/21/2025]
Abstract
Background Resistance to antimalarial drugs remains a major obstacle to malaria elimination. Multiplexed, targeted amplicon sequencing is being adopted for surveilling resistance and dissecting the genetics of complex malaria infections. Moreover, genotyping of parasites and detection of molecular markers drug resistance in resource-limited regions requires open-source protocols for processing samples, using accessible reagents, and rapid methods for processing numerous samples including pooled sequencing. Methods Plasmodium falciparum Streamlined Multiplex Antimalarial Resistance and Relatedness Testing (Pf-SMARRT) is a PCR-based amplicon panel consisting of 15 amplicons targeting antimalarial resistance mutations and 9 amplicons targeting hypervariable regions. This assay uses oligonucleotide primers in two pools and a non-proprietary library and barcoding approach. Results We evaluated Pf-SMARRT using control mocked dried blood spots (DBS) at varying levels of parasitemia and a mixture of 3D7 and Dd2 strains at known frequencies, showing the ability to genotype at low parasite density and recall within-sample allele frequencies. We then piloted Pf-SMARRT to genotype 100 parasite isolates collected from uncomplicated malaria cases at three health facilities in Dschang, Western Cameroon. Antimalarial resistance genotyping showed high levels of sulfadoxine-pyrimethamine resistance mutations, including 31% prevalence of the DHPS A613S mutation. No K13 candidate or validated artemisinin partial resistance mutations were detected, but one low-level non-synonymous change was observed. Pf-SMARRT's hypervariable targets, used to assess complexity of infections and parasite diversity and relatedness, showed similar levels and patterns compared to molecular inversion probe (MIP) sequencing. While there was strong concordance of antimalarial resistance mutations between individual samples and pools, low-frequency variants in the pooled samples were often missed. Conclusion Overall, Pf-SMARRT is a robust tool for assessing parasite relatedness and antimalarial drug resistance markers from both individual and pooled samples. Control samples support that accurate genotyping as low as 1 parasite per microliter is routinely possible.
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Affiliation(s)
- Jacob M. Sadler
- Institute for Global Health and Infectious Diseases, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
| | - Alfred Simkin
- Department of Pathology and Laboratory Medicine, Warren Alpert Medical School, Brown University, Providence, RI, United States
| | - Valery P. K. Tchuenkam
- Department of Biochemistry, Faculty of Science, University of Dschang, Dschang, Cameroon
| | - Isabela Gerdes Gyuricza
- Institute for Global Health and Infectious Diseases, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
- Curriculum in Genetics and Molecular Biology, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
| | - Abebe A. Fola
- Department of Pathology and Laboratory Medicine, Warren Alpert Medical School, Brown University, Providence, RI, United States
| | - Kevin Wamae
- Kenyan Medical Research Institute (KEMRI)-Wellcome Trust Research Programme, Kilifi, Kenya
| | - Ashenafi Assefa
- Institute for Global Health and Infectious Diseases, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
- Malaria and Neglected Tropical Disease Directorate, Ethiopian Public Health Institute, Addis Ababa, Ethiopia
| | - Karamoko Niaré
- Department of Pathology and Laboratory Medicine, Warren Alpert Medical School, Brown University, Providence, RI, United States
| | - Kyaw Thwai
- Institute for Global Health and Infectious Diseases, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
| | - Samuel J. White
- Institute for Global Health and Infectious Diseases, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
| | - William J. Moss
- Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, United States
| | - Rhoel R. Dinglasan
- Department of Infectious Diseases & Immunology, College of Veterinary Medicine & Emerging Pathogens Institute, University of Florida, Gainesville, FL, United States
| | | | - Christopher B. Tume
- Department of Biochemistry, Faculty of Science, University of Dschang, Dschang, Cameroon
| | - Jonathan B. Parr
- Institute for Global Health and Infectious Diseases, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
- Curriculum in Genetics and Molecular Biology, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
- Division of Infectious Diseases, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
| | - Innocent Mbulli Ali
- Department of Biochemistry, Faculty of Science, University of Dschang, Dschang, Cameroon
| | - Jeffrey A. Bailey
- Department of Pathology and Laboratory Medicine, Warren Alpert Medical School, Brown University, Providence, RI, United States
- Data Science Institute, Center for Computational and Molecular Biology, Brown University, Providence, RI, United States
| | - Jonathan J. Juliano
- Institute for Global Health and Infectious Diseases, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
- Curriculum in Genetics and Molecular Biology, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
- Division of Infectious Diseases, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
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Thompson NF, Sutherland BJG, Green TJ, Delomas TA. A free lunch: microhaplotype discovery in an existing amplicon panel improves parentage assignment for the highly polymorphic Pacific oyster. G3 (BETHESDA, MD.) 2025; 15:jkae280. [PMID: 39700397 PMCID: PMC11797050 DOI: 10.1093/g3journal/jkae280] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/30/2024] [Accepted: 11/12/2024] [Indexed: 12/21/2024]
Abstract
Amplicon panels using genotyping by sequencing methods are now common, but have focused on characterizing SNP markers. We investigate how microhaplotype (MH) discovery within a recently developed Pacific oyster (Magallana gigas) amplicon panel could increase the statistical power for relationship assignment. Trios (offspring and two parents) from three populations in a newly established breeding program were genotyped on a 592 locus panel. After processing, 92% of retained amplicons contained polymorphic MH variants and 85% of monomorphic SNP markers contained MH variation. The increased allelic richness resulted in substantially improved power for relationship assignment with much lower estimated false positive rates. No substantive differences in assignment accuracy occurred between SNP and MH datasets, but using MHs increased the separation in log-likelihood values between true parents and highly related potential parents (aunts and uncles). A high number of Mendelian incompatibilities among trios were observed, likely due to null alleles. Further development of a MH panel, including removing loci with high rates of null alleles, would enable high-throughput genotyping by reducing panel size and therefore cost for Pacific oyster research and breeding programs.
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Affiliation(s)
- Neil F Thompson
- Pacific Shellfish Research Unit, USDA Agricultural Research Service, 2030 SE Marine Science Drive, Newport, OR 97365, USA
| | - Ben J G Sutherland
- Sutherland Bioinformatics, Lantzville, BC V0R 2H0, Canada
- Faculty of Science and Technology, Vancouver Island University, 900 Fifth Street, Nanaimo, BC V9R 5S5, Canada
| | - Timothy J Green
- Faculty of Science and Technology, Vancouver Island University, 900 Fifth Street, Nanaimo, BC V9R 5S5, Canada
| | - Thomas A Delomas
- National Cold Water Marine Aquaculture Center, USDA Agricultural Research Service, 483 CBLS, 120 Flagg Road, Kingston, RI 02881, USA
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Li XC, Wang CH, Hassan R, Katsurada A, Sato R, Zhuo JL. Deletion of AT 1a receptors selectively in the proximal tubules of the kidney alters the hypotensive and natriuretic response to atrial natriuretic peptide via NPR A/cGMP/NO signaling. Am J Physiol Renal Physiol 2024; 327:F946-F956. [PMID: 39361722 PMCID: PMC11687850 DOI: 10.1152/ajprenal.00160.2024] [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: 05/28/2024] [Revised: 09/10/2024] [Accepted: 09/24/2024] [Indexed: 10/05/2024] Open
Abstract
In the proximal tubules of the kidney, angiotensin II (ANG II) binds and activates ANG II type 1 (AT1a) receptors to stimulate proximal tubule Na+ reabsorption, whereas atrial natriuretic peptide (ANP) binds and activates natriuretic peptide receptors (NPRA) to inhibit ANG II-induced proximal tubule Na+ reabsorption. These two vasoactive systems play important counteracting roles to control Na+ reabsorption in the proximal tubules and help maintain blood pressure homeostasis. However, how AT1a and NPRA receptors interact in the proximal tubules and whether natriuretic effects of NPRA receptor activation by ANP may be potentiated by deletion of AT1 (AT1a) receptors selectively in the proximal tubules have not been studied previously. The present study used a novel mouse model with proximal tubule-specific knockout of AT1a receptors, PT-Agtr1a-/-, to test the hypothesis that deletion of AT1a receptors selectively in the proximal tubules augments the hypotensive and natriuretic responses to ANP. Basal blood pressure was about 16 ± 3 mmHg lower (P < 0.01), fractional proximal tubule Na+ reabsorption was significantly lower (P < 0.05), whereas 24-h urinary Na+ excretion was significantly higher, in PT-Agtr1a-/- mice than in wild-type mice (P < 0.01). Infusion of ANP via osmotic minipump for 2 wk (0.5 mg/kg/day ip) further significantly decreased blood pressure and increased the natriuretic response in PT-Agtr1a-/- mice by inhibiting proximal tubule Na+ reabsorption compared with wild-type mice (P < 0.01). These augmented hypotensive and natriuretic responses to ANP in PT-Agtr1a-/- mice were associated with increased plasma and kidney cGMP levels (P < 0.01), kidney cortical NPRA and NPRC mRNA expression (P < 0.05), endothelial nitric oxide (NO) synthase (eNOS) and phosphorylated eNOS proteins (P < 0.01), and urinary NO excretion (P < 0.01). Taken together, the results of the present study provide further evidence for important physiological roles of intratubular ANG II/AT1a and ANP/NPRA signaling pathways in the proximal tubules to regulate proximal tubule Na+ reabsorption and maintain blood pressure homeostasis.NEW & NOTEWORTHY This study used a mutant mouse model with proximal tubule-selective deletion of angiotensin II (ANG II) type 1 (AT1a) receptors to study, for the first time, important interactions between ANG II/AT1 (AT1a) receptor/Na+/H+ exchanger 3 and atrial natriuretic peptide (ANP)/natriuretic peptide receptor (NPRA)/cGMP/nitric oxide signaling pathways in the proximal tubules. The results of the present study provide further evidence for important physiological roles of proximal tubule ANG II/AT1a and ANP/NPRA signaling pathways in the regulation of proximal tubule Na+ reabsorption and blood pressure homeostasis.
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MESH Headings
- Animals
- Kidney Tubules, Proximal/metabolism
- Kidney Tubules, Proximal/drug effects
- Cyclic GMP/metabolism
- Atrial Natriuretic Factor/metabolism
- Atrial Natriuretic Factor/genetics
- Receptors, Atrial Natriuretic Factor/metabolism
- Receptors, Atrial Natriuretic Factor/genetics
- Receptors, Atrial Natriuretic Factor/deficiency
- Receptor, Angiotensin, Type 1/metabolism
- Receptor, Angiotensin, Type 1/genetics
- Mice, Knockout
- Signal Transduction
- Nitric Oxide/metabolism
- Blood Pressure/drug effects
- Male
- Natriuresis/drug effects
- Sodium/metabolism
- Sodium/urine
- Hypotension/metabolism
- Hypotension/genetics
- Hypotension/physiopathology
- Renal Reabsorption/drug effects
- Mice
- Nitric Oxide Synthase Type III/metabolism
- Mice, Inbred C57BL
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Affiliation(s)
- Xiao Chun Li
- Tulane Hypertension and Renal Center of Excellence and Department of Physiology, Tulane University School of Medicine, New Orleans, Louisiana, United States
| | - Chih-Hong Wang
- Tulane Hypertension and Renal Center of Excellence and Department of Physiology, Tulane University School of Medicine, New Orleans, Louisiana, United States
| | - Rumana Hassan
- Tulane Hypertension and Renal Center of Excellence and Department of Physiology, Tulane University School of Medicine, New Orleans, Louisiana, United States
| | - Akemi Katsurada
- Tulane Hypertension and Renal Center of Excellence and Department of Physiology, Tulane University School of Medicine, New Orleans, Louisiana, United States
| | - Ryosuke Sato
- Tulane Hypertension and Renal Center of Excellence and Department of Physiology, Tulane University School of Medicine, New Orleans, Louisiana, United States
| | - Jia Long Zhuo
- Tulane Hypertension and Renal Center of Excellence and Department of Physiology, Tulane University School of Medicine, New Orleans, Louisiana, United States
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7
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Taylor AR, Neubauer Vickers E, Greenhouse B. Review of MrsFreqPhase methods: methods designed to estimate statistically malaria parasite multiplicity of infection, relatedness, frequency and phase. Malar J 2024; 23:308. [PMID: 39407242 PMCID: PMC11481338 DOI: 10.1186/s12936-024-05119-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2024] [Accepted: 09/28/2024] [Indexed: 10/19/2024] Open
Abstract
Malaria parasites are haploid within humans, but infections often contain genetically distinct groups of clonal parasites. When the per-infection number of genetically distinct clones (i.e., the multiplicity of infection, MOI) exceeds one, and per-infection genetic data are generated in bulk, important information are obfuscated. For example, the MOI, the phases of the haploid genotypes of genetically distinct clones (i.e., how the alleles concatenate into sequences), and their frequencies. This complicates many downstream analyses, including relatedness estimation. MOIs, parasite sequences, their frequencies, and degrees of relatedness are used ubiquitously in malaria studies: for example, to monitor anti-malarial drug resistance and to track changes in transmission. In this article, MrsFreqPhase methods designed to estimate statistically malaria parasite MOI, relatedness, frequency and phase are reviewed. An overview, a historical account of the literature, and a statistical description of contemporary software is provided for each method class. The article ends with a look towards future method development, needed to make best use of new data types generated by cutting-edge malaria studies reliant on MrsFreqPhase methods.
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Affiliation(s)
- Aimee R Taylor
- Institut Pasteur, Université Paris Cité, Paris, France, Paris, France.
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8
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Sadler JM, Simkin A, Tchuenkam VPK, Gyuricza IG, Fola AA, Wamae K, Assefa A, Niaré K, Thwai K, White SJ, Moss WJ, Dinglasan RR, Nsango S, Tume CB, Parr JB, Ali IM, Bailey JA, Juliano JJ. Application of a new highly multiplexed amplicon sequencing tool to evaluate Plasmodium falciparum antimalarial resistance and relatedness in individual and pooled samples from Dschang, Cameroon. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.10.03.24314715. [PMID: 39417120 PMCID: PMC11482863 DOI: 10.1101/2024.10.03.24314715] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/19/2024]
Abstract
Background Resistance to antimalarial drugs remains a major obstacle to malaria elimination. Multiplexed, targeted amplicon sequencing is being adopted for surveilling resistance and dissecting the genetics of complex malaria infections. Moreover, genotyping of parasites and detection of molecular markers drug resistance in resource-limited regions requires open-source protocols for processing samples, using accessible reagents, and rapid methods for processing numerous samples including pooled sequencing. Methods P lasmodium f alciparum Streamlined Multiplex Antimalarial Resistance and Relatedness Testing (Pf-SMARRT) is a PCR-based amplicon panel consisting of 15 amplicons targeting antimalarial resistance mutations and 9 amplicons targeting hypervariable regions. This assay uses oligonucleotide primers in two pools and a non-proprietary library and barcoding approach. Results We evaluated Pf-SMARRT using control mocked dried blood spots (DBS) at varying levels of parasitemia and a mixture of 3D7 and Dd2 strains at known frequencies, showing the ability to genotype at low parasite density and recall within-sample allele frequencies. We then piloted Pf-SMARRT to genotype 100 parasite isolates collected from uncomplicated malaria cases at three health facilities in Dschang, Western Cameroon. Antimalarial resistance genotyping showed high levels of sulfadoxine-pyrimethamine resistance mutations, including 31% prevalence of the DHPS A613S mutation. No K13 candidate or validated artemisinin partial resistance mutations were detected, but one low-level non-synonymous change was observed. Pf-SMARRT's hypervariable targets, used to assess complexity of infections and parasite diversity and relatedness, showed similar levels and patterns compared to molecular inversion probe (MIP) sequencing. While there was strong concordance of antimalarial resistance mutations between individual samples and pools, low-frequency variants in the pooled samples were often missed. Conclusion Overall, Pf-SMARRT is a robust tool for assessing parasite relatedness and antimalarial drug resistance markers from both individual and pooled samples. Control samples support that accurate genotyping as low as 1 parasite per microliter is routinely possible.
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Affiliation(s)
- Jacob M Sadler
- Institute for Global Health and Infectious Diseases, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America
| | - Alfred Simkin
- Department of Pathology and Laboratory Medicine, Warren Alpert Medical School, Brown University, Providence, Rhode Island
| | - Valery P K Tchuenkam
- Department of Biochemistry, Faculty of Science, University of Dschang, Dschang, West Region, Cameroon
| | - Isabela Gerdes Gyuricza
- Institute for Global Health and Infectious Diseases, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America
- Curriculum in Genetics and Molecular Biology, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America
| | - Abebe A Fola
- Department of Pathology and Laboratory Medicine, Warren Alpert Medical School, Brown University, Providence, Rhode Island
| | - Kevin Wamae
- KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya
| | - Ashenafi Assefa
- Institute for Global Health and Infectious Diseases, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America
- Ethiopian Public Health Institute, Addis Ababa, Ethiopia
| | - Karamoko Niaré
- Department of Pathology and Laboratory Medicine, Warren Alpert Medical School, Brown University, Providence, Rhode Island
| | - Kyaw Thwai
- Institute for Global Health and Infectious Diseases, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America
| | - Samuel J White
- Institute for Global Health and Infectious Diseases, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America
| | - William J Moss
- Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, United States of America
| | - Rhoel R Dinglasan
- Emerging Pathogens Institute, University of Florida, Gainesville, Florida, United States of America
| | | | - Christopher B Tume
- Department of Biochemistry, Faculty of Science, University of Dschang, Dschang, West Region, Cameroon
| | - Jonathan B Parr
- Institute for Global Health and Infectious Diseases, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America
- Curriculum in Genetics and Molecular Biology, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America
- Division of Infectious Diseases, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America
| | - Innocent Mbulli Ali
- Department of Biochemistry, Faculty of Science, University of Dschang, Dschang, West Region, Cameroon
| | - Jeffrey A Bailey
- Department of Pathology and Laboratory Medicine, Warren Alpert Medical School, Brown University, Providence, Rhode Island
- Data Science Institute, Center for Computational and Molecular Biology, Brown University, Providence, Rhode Island
| | - Jonathan J Juliano
- Institute for Global Health and Infectious Diseases, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America
- Curriculum in Genetics and Molecular Biology, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America
- Division of Infectious Diseases, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America
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Chen W, Zhang K, Huang F, Zhao L, Waldren G, Jiang Q, Chen S, Wang B, Guo W, Zhang D, Zhang J. Advancing quantitative PCR with color cycle multiplex amplification. Nucleic Acids Res 2024; 52:e81. [PMID: 39119904 PMCID: PMC11417387 DOI: 10.1093/nar/gkae683] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2023] [Revised: 07/01/2024] [Accepted: 08/02/2024] [Indexed: 08/10/2024] Open
Abstract
Quantitative PCR (qPCR) is the gold standard for detection and quantitation of known DNA targets, but the scarcity of spectrally distinct fluorophores and filter sets limits the number of detectable targets. Here, we introduce color cycle multiplex amplification (CCMA) to significantly increase the number of detectable DNA targets in a single qPCR reaction using standard instrumentation. In CCMA, presence of one DNA target species results in a pre-programmed pattern of fluorescence increases. This pattern is distinguished by cycle thresholds (Cts) through rationally designed delays in amplification. For example, we design an assay wherein Staphylococcus aureus sequentially induces FAM, then Cy5.5, then ROX fluorescence increases with more than 3 cycles between each signal. CCMA offers notably higher potential for multiplexing because it uses fluorescence permutation rather than combination. With 4 distinct fluorescence colors, CCMA theoretically allows the detection of up to 136 distinct DNA target sequences using fluorescence permutation. Experimentally, we demonstrated a single-tube qPCR assay screening 21 sepsis-related bacterial DNA targets in samples of blood, sputum, pleural effusion and bronchoalveolar lavage fluid, with 89% clinical sensitivity and 100% clinical specificity, showing its potential as a powerful tool for advanced quantitative screening in molecular diagnostics.
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Affiliation(s)
- Wei Chen
- Department of Innovation, NuProbe USA, Houston, TX 77054, USA
| | - Kerou Zhang
- Department of Innovation, NuProbe USA, Houston, TX 77054, USA
| | - Fei Huang
- Department of Laboratory Medicine, Zhongshan Hospital, Fudan University, Shanghai, Shanghai 200032, China
| | - Lan Zhao
- Department of Respiratory and Critical Care Medicine, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai 200433, China
| | | | - Qi Jiang
- Department of Innovation, NuProbe USA, Houston, TX 77054, USA
| | - Sherry X Chen
- Department of Innovation, NuProbe USA, Houston, TX 77054, USA
| | - Bonnie Wang
- Department of Innovation, NuProbe USA, Houston, TX 77054, USA
| | - Wei Guo
- Department of Laboratory Medicine, Zhongshan Hospital, Fudan University, Shanghai, Shanghai 200032, China
| | - David Y Zhang
- Department of Innovation, NuProbe USA, Houston, TX 77054, USA
| | - Jinny X Zhang
- Department of Innovation, NuProbe USA, Houston, TX 77054, USA
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Rodrigues PT, Johansen IC, Ladeia WA, Esquivel FD, Corder RM, Tonini J, Calil PR, Fernandes ARJ, Fontoura PS, Cavasini CE, Vinetz JM, Castro MC, Ferreira MU. Lower Microscopy Sensitivity with Decreasing Malaria Prevalence in the Urban Amazon Region, Brazil, 2018-2021. Emerg Infect Dis 2024; 30:1884-1894. [PMID: 39174028 PMCID: PMC11346994 DOI: 10.3201/eid3009.240378] [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] [Indexed: 08/24/2024] Open
Abstract
Malaria is increasingly diagnosed in urban centers across the Amazon Basin. In this study, we combined repeated prevalence surveys over a 4-year period of a household-based random sample of 2,774 persons with parasite genotyping to investigate the epidemiology of malaria in Mâncio Lima, the main urban transmission hotspot in Amazonian Brazil. We found that most malarial infections were asymptomatic and undetected by point-of-care microscopy. Our findings indicate that as malaria transmission decreases, the detection threshold of microscopy rises, resulting in more missed infections despite similar parasite densities estimated by molecular methods. We identified genetically highly diverse populations of Plasmodium vivax and P. falciparum in the region; occasional shared lineages between urban and rural residents suggest cross-boundary propagation. The prevalence of low-density and asymptomatic infections poses a significant challenge for routine surveillance and the effectiveness of malaria control and elimination strategies in urbanized areas with readily accessible laboratory facilities.
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11
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Connelly SV, Brazeau NF, Msellem M, Ngasala BE, Aydemir O, Goel V, Niaré K, Giesbrecht DJ, Popkin-Hall ZR, Hennelly C, Park Z, Moormann AM, Ong'echa JM, Verity R, Mohammed S, Shija SJ, Mhamilawa LE, Morris U, Mårtensson A, Lin JT, Björkman A, Juliano JJ, Bailey JA. Strong isolation by distance and evidence of population microstructure reflect ongoing Plasmodium falciparum transmission in Zanzibar. eLife 2024; 12:RP90173. [PMID: 38935423 PMCID: PMC11210957 DOI: 10.7554/elife.90173] [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] [Indexed: 06/28/2024] Open
Abstract
Background The Zanzibar archipelago of Tanzania has become a low-transmission area for Plasmodium falciparum. Despite being considered an area of pre-elimination for years, achieving elimination has been difficult, likely due to a combination of imported infections from mainland Tanzania and continued local transmission. Methods To shed light on these sources of transmission, we applied highly multiplexed genotyping utilizing molecular inversion probes to characterize the genetic relatedness of 282 P. falciparum isolates collected across Zanzibar and in Bagamoyo district on the coastal mainland from 2016 to 2018. Results Overall, parasite populations on the coastal mainland and Zanzibar archipelago remain highly related. However, parasite isolates from Zanzibar exhibit population microstructure due to the rapid decay of parasite relatedness over very short distances. This, along with highly related pairs within shehias, suggests ongoing low-level local transmission. We also identified highly related parasites across shehias that reflect human mobility on the main island of Unguja and identified a cluster of highly related parasites, suggestive of an outbreak, in the Micheweni district on Pemba island. Parasites in asymptomatic infections demonstrated higher complexity of infection than those in symptomatic infections, but have similar core genomes. Conclusions Our data support importation as a main source of genetic diversity and contribution to the parasite population in Zanzibar, but they also show local outbreak clusters where targeted interventions are essential to block local transmission. These results highlight the need for preventive measures against imported malaria and enhanced control measures in areas that remain receptive to malaria reemergence due to susceptible hosts and competent vectors. Funding This research was funded by the National Institutes of Health, grants R01AI121558, R01AI137395, R01AI155730, F30AI143172, and K24AI134990. Funding was also contributed from the Swedish Research Council, Erling-Persson Family Foundation, and the Yang Fund. RV acknowledges funding from the MRC Centre for Global Infectious Disease Analysis (reference MR/R015600/1), jointly funded by the UK Medical Research Council (MRC) and the UK Foreign, Commonwealth & Development Office (FCDO), under the MRC/FCDO Concordat agreement and is also part of the EDCTP2 program supported by the European Union. RV also acknowledges funding by Community Jameel.
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Affiliation(s)
- Sean V Connelly
- MD-PhD Program, University of North Carolina at Chapel HillChapel HillUnited States
| | - Nicholas F Brazeau
- MD-PhD Program, University of North Carolina at Chapel HillChapel HillUnited States
| | - Mwinyi Msellem
- Research Division, Ministry of HealthZanzibarUnited Republic of Tanzania
| | - Billy E Ngasala
- Department of Parasitology and Medical Entomology, Muhimbili University of Health and Allied SciencesDar es SalaamUnited Republic of Tanzania
- Global Health and Migration Unit, Department of Women's and Children's Health, Uppsala UniversityUppsalaSweden
| | - Ozkan Aydemir
- Department of Medicine, University of Massachusetts Chan Medical SchoolWorcesterUnited States
| | - Varun Goel
- Carolina Population Center, University of North Carolina at Chapel HillChapel HillUnited States
| | - Karamoko Niaré
- Department of Pathology and Laboratory Medicine, Brown UniversityProvidenceUnited States
| | - David J Giesbrecht
- Department of Pathology and Laboratory Medicine, Brown UniversityProvidenceUnited States
| | - Zachary R Popkin-Hall
- Institute for Global Health and Infectious Diseases, School of Medicine, University of North Carolina at Chapel HillChapel HillUnited States
| | - Chris Hennelly
- Institute for Global Health and Infectious Diseases, School of Medicine, University of North Carolina at Chapel HillChapel HillUnited States
| | - Zackary Park
- Division of Infectious Diseases, Department of Medicine, School of Medicine, University of North Carolina at Chapel HillChapel HillUnited States
| | - Ann M Moormann
- Department of Medicine, University of Massachusetts Chan Medical SchoolWorcesterUnited States
| | - John M Ong'echa
- Center for Global Health Research, Kenya Medical Research InstituteKisumuKenya
| | - Robert Verity
- MRC Centre for Global Infectious Disease Analysis, Imperial College LondonLondonUnited Kingdom
| | - Safia Mohammed
- Zanzibar Malaria Elimination Program (ZAMEP)ZanzibarUnited Republic of Tanzania
| | - Shija J Shija
- Zanzibar Malaria Elimination Program (ZAMEP)ZanzibarUnited Republic of Tanzania
| | - Lwidiko E Mhamilawa
- Department of Parasitology and Medical Entomology, Muhimbili University of Health and Allied SciencesDar es SalaamUnited Republic of Tanzania
- Global Health and Migration Unit, Department of Women's and Children's Health, Uppsala UniversityUppsalaSweden
| | - Ulrika Morris
- Department of Microbiology, Tumor and Cell Biology, Karolinska InstitutetStockholmSweden
| | - Andreas Mårtensson
- Global Health and Migration Unit, Department of Women's and Children's Health, Uppsala UniversityUppsalaSweden
| | - Jessica T Lin
- Division of Infectious Diseases, Department of Medicine, School of Medicine, University of North Carolina at Chapel HillChapel HillUnited States
| | - Anders Björkman
- Department of Microbiology, Tumor and Cell Biology, Karolinska InstitutetStockholmSweden
- Department of Global Public Health, Karolinska InstituteStockholmSweden
| | - Jonathan J Juliano
- Division of Infectious Diseases, Department of Medicine, School of Medicine, University of North Carolina at Chapel HillChapel HillUnited States
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel HillChapel HillUnited States
- Curriculum in Genetics and Molecular Biology, University of North Carolina at Chapel HillChapel HillUnited States
| | - Jeffrey A Bailey
- Department of Pathology and Laboratory Medicine, Brown UniversityProvidenceUnited States
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Li C, Kang N, Ye S, Huang W, Wang X, Wang C, Li Y, Liu YF, Lan Y, Ma L, Zhao Y, Han Y, Fu J, Shen D, Dong L, Du W. All-In-One OsciDrop Digital PCR System for Automated and Highly Multiplexed Molecular Diagnostics. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2024; 11:e2309557. [PMID: 38516754 DOI: 10.1002/advs.202309557] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/07/2023] [Revised: 01/29/2024] [Indexed: 03/23/2024]
Abstract
Digital PCR (dPCR) holds immense potential for precisely detecting nucleic acid markers essential for personalized medicine. However, its broader application is hindered by high consumable costs, complex procedures, and restricted multiplexing capabilities. To address these challenges, an all-in-one dPCR system is introduced that eliminates the need for microfabricated chips, offering fully automated operations and enhanced multiplexing capabilities. Using this innovative oscillation-induced droplet generation technique, OsciDrop, this system supports a comprehensive dPCR workflow, including precise liquid handling, pipette-based droplet printing, in situ thermocycling, multicolor fluorescence imaging, and machine learning-driven analysis. The system's reliability is demonstrated by quantifying reference materials and evaluating HER2 copy number variation in breast cancer. Its multiplexing capability is showcased with a quadruplex dPCR assay that detects key EGFR mutations, including 19Del, L858R, and T790M in lung cancer. Moreover, the digital stepwise melting analysis (dSMA) technique is introduced, enabling high-multiplex profiling of seven major EGFR variants spanning 35 subtypes. This innovative dPCR system presents a cost-effective and versatile alternative, overcoming existing limitations and paving the way for transformative advances in precision diagnostics.
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Affiliation(s)
- Caiming Li
- State Key Laboratory of Microbial Resources, Institute of Microbiology, Chinese Academy of Sciences, Beijing, 100101, China
- College of Life Sciences, University of the Chinese Academy of Sciences, Beijing, 101408, China
| | - Nan Kang
- Department of Pathology, Peking University People's Hospital, Beijing, 100044, China
| | - Shun Ye
- Department of Bioengineering, University of California Los Angeles, Los Angeles, CA, 90095, USA
| | - Weihang Huang
- Center for Corpus Research, Department of English Language and Linguistics, University of Birmingham, Edgbaston, Birmingham, B152TT, UK
| | - Xia Wang
- Center for Advanced Measurement Science, National Institute of Metrology, Beijing, 100013, China
| | - Cheng Wang
- Department of Breast Surgery Huangpu Branch, Shanghai Ninth People's Hospital, Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, 200011, China
| | - Yuchen Li
- State Key Laboratory of Microbial Resources, Institute of Microbiology, Chinese Academy of Sciences, Beijing, 100101, China
- Biomedical Sciences College & Shandong Medical Biotechnology Centre, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, 250000, China
| | - Yan-Fei Liu
- State Key Laboratory of Microbial Resources, Institute of Microbiology, Chinese Academy of Sciences, Beijing, 100101, China
- Research Center for Analytical Sciences, Northeastern University, Shenyang, 110819, China
| | - Ying Lan
- State Key Laboratory of Microbial Resources, Institute of Microbiology, Chinese Academy of Sciences, Beijing, 100101, China
| | - Liang Ma
- Maccura Biotechnology Co., Ltd, Chengdu, 611730, China
| | - Yuhang Zhao
- Maccura Biotechnology Co., Ltd, Chengdu, 611730, China
| | - Yong Han
- Maccura Biotechnology Co., Ltd, Chengdu, 611730, China
| | - Jun Fu
- Maccura Biotechnology Co., Ltd, Chengdu, 611730, China
| | - Danhua Shen
- Department of Pathology, Peking University People's Hospital, Beijing, 100044, China
| | - Lianhua Dong
- Center for Advanced Measurement Science, National Institute of Metrology, Beijing, 100013, China
| | - Wenbin Du
- State Key Laboratory of Microbial Resources, Institute of Microbiology, Chinese Academy of Sciences, Beijing, 100101, China
- College of Life Sciences, University of the Chinese Academy of Sciences, Beijing, 101408, China
- Savaid Medical School, University of the Chinese Academy of Sciences, Beijing, 101408, China
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Holzschuh A, Lerch A, Fakih BS, Aliy SM, Ali MH, Ali MA, Bruzzese DJ, Yukich J, Hetzel MW, Koepfli C. Using a mobile nanopore sequencing lab for end-to-end genomic surveillance of Plasmodium falciparum: A feasibility study. PLOS GLOBAL PUBLIC HEALTH 2024; 4:e0002743. [PMID: 38300956 PMCID: PMC10833559 DOI: 10.1371/journal.pgph.0002743] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/04/2023] [Accepted: 12/20/2023] [Indexed: 02/03/2024]
Abstract
Genomic epidemiology holds promise for malaria control and elimination efforts, for example by informing on Plasmodium falciparum genetic diversity and prevalence of mutations conferring anti-malarial drug resistance. Limited sequencing infrastructure in many malaria-endemic areas prevents the rapid generation of genomic data. To address these issues, we developed and validated assays for P. falciparum nanopore sequencing in endemic sites using a mobile laboratory, targeting key antimalarial drug resistance markers and microhaplotypes. Using two multiplexed PCR reactions, we amplified six highly polymorphic microhaplotypes and ten drug resistance markers. We developed a bioinformatics workflow that allows genotyping of polyclonal malaria infections, including minority clones. We validated the panels on mock dried blood spot (DBS) and rapid diagnostic test (RDT) samples and archived DBS, demonstrating even, high read coverage across amplicons (range: 580x to 3,212x median coverage), high haplotype calling accuracy, and the ability to explore within-sample diversity of polyclonal infections. We field-tested the feasibility of rapid genotyping in Zanzibar in close collaboration with the local malaria elimination program using DBS and routinely collected RDTs as sample inputs. Our assay identified haplotypes known to confer resistance to known antimalarials in the dhfr, dhps and mdr1 genes, but no evidence of artemisinin partial resistance. Most infections (60%) were polyclonal, with high microhaplotype diversity (median HE = 0.94). In conclusion, our assays generated actionable data within a few days, and we identified current challenges for implementing nanopore sequencing in endemic countries to accelerate malaria control and elimination.
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Affiliation(s)
- Aurel Holzschuh
- Department of Biological Sciences, Eck Institute for Global Health, University of Notre Dame, Notre Dame, Indiana, United States of America
- Swiss Tropical and Public Health Institute, Allschwil, Switzerland
| | - Anita Lerch
- Department of Biological Sciences, Eck Institute for Global Health, University of Notre Dame, Notre Dame, Indiana, United States of America
| | - Bakar S. Fakih
- Swiss Tropical and Public Health Institute, Allschwil, Switzerland
- University of Basel, Basel, Switzerland
- Ifakara Health Institute, Dar es Salaam, United Republic of Tanzania
| | - Safia Mohammed Aliy
- Zanzibar Malaria Elimination Programme, Ministry of Health, Zanzibar, United Republic of Tanzania
| | - Mohamed Haji Ali
- Zanzibar Malaria Elimination Programme, Ministry of Health, Zanzibar, United Republic of Tanzania
| | - Mohamed Ali Ali
- Zanzibar Malaria Elimination Programme, Ministry of Health, Zanzibar, United Republic of Tanzania
| | - Daniel J. Bruzzese
- Department of Biological Sciences, Eck Institute for Global Health, University of Notre Dame, Notre Dame, Indiana, United States of America
| | - Joshua Yukich
- School of Public Health and Tropical Medicine, Tulane University, New Orleans, United States of America
| | - Manuel W. Hetzel
- Swiss Tropical and Public Health Institute, Allschwil, Switzerland
| | - Cristian Koepfli
- Department of Biological Sciences, Eck Institute for Global Health, University of Notre Dame, Notre Dame, Indiana, United States of America
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Ruybal-Pesántez S, McCann K, Vibin J, Siegel S, Auburn S, Barry AE. Molecular markers for malaria genetic epidemiology: progress and pitfalls. Trends Parasitol 2024; 40:147-163. [PMID: 38129280 DOI: 10.1016/j.pt.2023.11.006] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2023] [Revised: 11/13/2023] [Accepted: 11/14/2023] [Indexed: 12/23/2023]
Abstract
Over recent years, progress in molecular markers for genotyping malaria parasites has enabled informative studies of epidemiology and transmission dynamics. Results have highlighted the value of these tools for surveillance to support malaria control and elimination strategies. There are many different types and panels of markers available for malaria parasite genotyping, and for end users, the nuances of these markers with respect to 'use case', resolution, and accuracy, are not well defined. This review clarifies issues surrounding different molecular markers and their application to malaria control and elimination. We describe available marker panels, use cases, implications for different transmission settings, limitations, access, cost, and data accuracy. The information provided can be used as a guide for molecular epidemiology and surveillance of malaria.
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Affiliation(s)
- Shazia Ruybal-Pesántez
- MRC Centre for Global Infectious Disease Analysis, Department of Infectious Disease Epidemiology, Imperial College London, London, UK; Institute of Microbiology, Universidad San Francisco de Quito, Quito, Ecuador
| | - Kirsty McCann
- Life Sciences Discipline, Burnet Institute, Melbourne, Victoria, Australia; Centre for Innovation in Infectious Disease and Immunology Research (CIIDIR), Institute for Mental and Physical Health and Clinical Translation (IMPACT) and School of Medicine, Deakin University, Geelong, Victoria, Australia
| | - Jessy Vibin
- Life Sciences Discipline, Burnet Institute, Melbourne, Victoria, Australia; Centre for Innovation in Infectious Disease and Immunology Research (CIIDIR), Institute for Mental and Physical Health and Clinical Translation (IMPACT) and School of Medicine, Deakin University, Geelong, Victoria, Australia
| | | | - Sarah Auburn
- Menzies School of Health Research and Charles Darwin University, Darwin, Northern Territory, Australia; Mahidol-Oxford Tropical Medicine Research Unit, Mahidol University, Bangkok, Thailand
| | - Alyssa E Barry
- Life Sciences Discipline, Burnet Institute, Melbourne, Victoria, Australia; Centre for Innovation in Infectious Disease and Immunology Research (CIIDIR), Institute for Mental and Physical Health and Clinical Translation (IMPACT) and School of Medicine, Deakin University, Geelong, Victoria, Australia.
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15
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Xu Q, Li J, Zhang Z, Yang Q, Zhang W, Yao J, Zhang Y, Zhang Y, Guo Z, Li C, Li S, Zhang C, Wang C, Du L, Li C, Zhou L. Precise determination of reaction conditions for accurate quantification in digital PCR by real-time fluorescence monitoring within microwells. Biosens Bioelectron 2024; 244:115798. [PMID: 37924656 DOI: 10.1016/j.bios.2023.115798] [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: 07/08/2023] [Revised: 09/27/2023] [Accepted: 10/27/2023] [Indexed: 11/06/2023]
Abstract
Real-time digital polymerase chain reaction (qdPCR) provides enhanced precision in the field of molecular diagnostics by integrating absolute quantification with process information. However, the optimal reaction conditions are traditionally determined through multiple iterative of experiments. Therefore, we proposed a novel approach to precisely determine the optimal reaction conditions for qdPCR using a standard process, employing real-time fluorescence monitoring within microwells. The temperature-sensitive fluorophore intensity presented the real temperature of each microwell. This enabled us to determine the optimal denaturation and annealing time for qdPCR based on the corresponding critical temperatures derived from the melting curves and amplification efficiency, respectively. To confirm this method, we developed an ultrathin laminated chip (UTL chip) and chose a target that need to be absolutely quantitative. The UTL chip was designed using a fluid‒solid‒thermal coupling simulation model and exhibited a faster thermal response than a commercial dPCR chip. By leveraging our precise determination of reaction conditions and utilizing the UTL chip, 40 cycles of amplification were achieved within 18 min. This was accomplished by precisely controlling the denaturation temperature at 2 s and the annealing temperature at 10 s. Furthermore, the absolutely quantitative of DNA showed good correlation (R2 > 0.999) with the concentration gradient detection using the optimal reaction conditions with the UTL chip for qdPCR. Our proposed method can significantly improve the accuracy and efficiency of determining qdPCR conditions, which holds great promise for application in molecular diagnostics.
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Affiliation(s)
- Qi Xu
- School of Biomedical Engineering (Suzhou), Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, 230026, China; CAS Key Lab of Bio-Medical Diagnostics, Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou, 215163, China
| | - Jinze Li
- CAS Key Lab of Bio-Medical Diagnostics, Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou, 215163, China
| | - Zhiqi Zhang
- School of Biomedical Engineering (Suzhou), Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, 230026, China; CAS Key Lab of Bio-Medical Diagnostics, Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou, 215163, China; Suzhou CASENS Co., Ltd, Suzhou, 215163, China
| | - Qi Yang
- CAS Key Lab of Bio-Medical Diagnostics, Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou, 215163, China
| | - Wei Zhang
- School of Biomedical Engineering (Suzhou), Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, 230026, China; CAS Key Lab of Bio-Medical Diagnostics, Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou, 215163, China; Suzhou CASENS Co., Ltd, Suzhou, 215163, China; Ji Hua Laboratory, Foshan, 528000, China
| | - Jia Yao
- CAS Key Lab of Bio-Medical Diagnostics, Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou, 215163, China
| | - Yaxin Zhang
- Department of Mechanical and Electric Engineering, Changchun University of Science and Technology, Changchun, 130022, China
| | - Yueye Zhang
- CAS Key Lab of Bio-Medical Diagnostics, Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou, 215163, China
| | - Zhen Guo
- School of Biomedical Engineering (Suzhou), Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, 230026, China; CAS Key Lab of Bio-Medical Diagnostics, Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou, 215163, China
| | - Chao Li
- School of Biomedical Engineering (Suzhou), Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, 230026, China; CAS Key Lab of Bio-Medical Diagnostics, Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou, 215163, China
| | - Shuli Li
- CAS Key Lab of Bio-Medical Diagnostics, Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou, 215163, China
| | - Changsong Zhang
- Suzhou Hospital, Affiliated Hospital of Medical School, Nanjing University, Suzhou, 215153, China
| | - Chuanxin Wang
- Department of Clinical Laboratory, The Second Hospital of Shandong University, Jinan, 250033, China
| | - Lutao Du
- Department of Clinical Laboratory, Qilu Hospital of Shandong University, Shandong Provincial Key Laboratory of Innovation Technology in Laboratory Medicine, Jinan, 250012, China.
| | - Chuanyu Li
- School of Biomedical Engineering (Suzhou), Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, 230026, China; CAS Key Lab of Bio-Medical Diagnostics, Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou, 215163, China.
| | - Lianqun Zhou
- School of Biomedical Engineering (Suzhou), Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, 230026, China; CAS Key Lab of Bio-Medical Diagnostics, Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou, 215163, China; Suzhou CASENS Co., Ltd, Suzhou, 215163, China.
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Fakih BS, Holzschuh A, Ross A, Stuck L, Abdul R, Al-Mafazy AWH, Irema I, Mbena A, Thawer SG, Shija SJ, Aliy SM, Ali A, Fink G, Yukich J, Hetzel MW. Risk of imported malaria infections in Zanzibar: a cross-sectional study. Infect Dis Poverty 2023; 12:80. [PMID: 37641152 PMCID: PMC10464242 DOI: 10.1186/s40249-023-01129-5] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2023] [Accepted: 08/11/2023] [Indexed: 08/31/2023] Open
Abstract
BACKGROUND Zanzibar has made substantial progress in malaria control with vector control, improved diagnosis, and artemisinin-based combination therapy. Parasite prevalence in the population has remained around 1% but imported infections from mainland Tanzania contribute to sustained local transmission. Understanding travel patterns between mainland Tanzania and Zanzibar, and the risk of malaria infection, may help to control malaria importation to Zanzibar. METHODS A rolling cross-sectional survey linked to routine reactive case detection of malaria was carried out in Zanzibar between May 2017 and October 2018. Households of patients diagnosed with malaria at health facilities were surveyed and household members were tested for malaria using rapid diagnostic tests and a sub-sample by quantitative PCR (qPCR). Interviews elicited a detailed travel history of all household members who had travelled within the past two months, including trips within and outside of Zanzibar. We estimated the association of malaria infection with travel destinations in pre-defined malaria endemicity categories, trip duration, and other co-variates using logistic regression. RESULTS Of 17,891 survey participants, 1177 (7%) reported a recent trip, of which 769 (65%) visited mainland Tanzania. Among travellers to mainland Tanzania with travel destination details and a qPCR result available, 241/378 (64%) reported traveling to districts with a 'high' malaria endemicity and for 12% the highest endemicity category was 'moderate'. Travelers to the mainland were more likely to be infected with malaria parasites (29%, 108/378) than those traveling within Zanzibar (8%, 16/206) or to other countries (6%, 2/17). Among travellers to mainland Tanzania, those visiting highly endemic districts had a higher odds of being qPCR-positive than those who travelled only to districts where malaria-endemicity was classified as low or very low (adjusted odd ratio = 7.0, 95% confidence interval: 1.9-25.5). Among travellers to the mainland, 110/378 (29%) never or only sometimes used a mosquito net during their travel. CONCLUSIONS Strategies to reduce malaria importation to Zanzibar may benefit from identifying population groups traveling to highly endemic areas in mainland Tanzania. Targeted interventions to prevent and clear infections in these groups may be more feasible than attempting to screen and treat all travellers upon arrival in Zanzibar.
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Affiliation(s)
- Bakar S Fakih
- Ifakara Health Institute, Dar es Salaam, Tanzania.
- Swiss Tropical and Public Health Institute, Allschwil, Switzerland.
- University of Basel, Basel, Switzerland.
| | - Aurel Holzschuh
- Swiss Tropical and Public Health Institute, Allschwil, Switzerland
- Department of Biological Sciences, Eck Institute for Global Health, University of Notre Dame, Notre Dame, USA
| | - Amanda Ross
- Swiss Tropical and Public Health Institute, Allschwil, Switzerland
- University of Basel, Basel, Switzerland
| | - Logan Stuck
- Tulane University School of Public Health and Tropical Medicine, New Orleans, LA, USA
- Amsterdam Institute for Global Health and Development, Amsterdam, Netherlands
| | - Ramadhan Abdul
- Ifakara Health Institute, Dar es Salaam, Tanzania
- Amsterdam Institute for Global Health and Development, Amsterdam, Netherlands
| | | | - Imani Irema
- Ifakara Health Institute, Dar es Salaam, Tanzania
| | | | - Sumaiyya G Thawer
- Swiss Tropical and Public Health Institute, Allschwil, Switzerland
- University of Basel, Basel, Switzerland
| | - Shija J Shija
- Zanzibar Malaria Elimination Programme, Zanzibar, United Republic of Tanzania
| | - Safia M Aliy
- Zanzibar Malaria Elimination Programme, Zanzibar, United Republic of Tanzania
| | - Abdullah Ali
- Zanzibar Malaria Elimination Programme, Zanzibar, United Republic of Tanzania
| | - Günther Fink
- Swiss Tropical and Public Health Institute, Allschwil, Switzerland
- University of Basel, Basel, Switzerland
| | - Joshua Yukich
- Tulane University School of Public Health and Tropical Medicine, New Orleans, LA, USA
| | - Manuel W Hetzel
- Swiss Tropical and Public Health Institute, Allschwil, Switzerland
- University of Basel, Basel, Switzerland
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