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Benke EH, Boegner DJ, Bogusch AM, White IM. Sample-to-answer detection of miRNA from whole blood using thermally responsive alkane partitions. Biosens Bioelectron 2024:117052. [PMID: 39675942 DOI: 10.1016/j.bios.2024.117052] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2024] [Revised: 11/27/2024] [Accepted: 12/08/2024] [Indexed: 12/17/2024]
Abstract
Circulating miRNA offers a tremendous opportunity as a biomarker paradigm for many applications in disease diagnostics, including point-of-care diagnostics for global health needs. However, despite the numerous miRNA detection schemes reported, there still does not exist a solution for highly sensitive sample-to-answer detection of miRNA directly from complex samples, such as whole blood. We recently developed thermally responsive alkane partitions (TRAPs), which - when combined with magnetic microbeads - enable the complete assay automation from whole blood. Here we apply TRAPs with ligation-LAMP to automate the detection of miRNA in whole blood samples. MBs and a TRAP enable the automated purification of miRNA from blood, while a novel displacement-ligation method is utilized to trigger the ligation-LAMP reaction, which is streamlined into one step by a second TRAP. Using easily manufacturable TRAP-enabled assay cassettes and a custom low-cost handheld instrument, we report the specific detection of miR-155 at concentrations as low as 15 fM in whole blood with no intermediate steps by the user. This new approach creates the opportunity for point-of-care miRNA-based diagnostics with global health applications.
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Affiliation(s)
- Evan H Benke
- Fischell Department of Bioengineering, University of Maryland, College Park, MD, 20742, USA
| | - David J Boegner
- Fischell Department of Bioengineering, University of Maryland, College Park, MD, 20742, USA
| | - Alejandra M Bogusch
- Fischell Department of Bioengineering, University of Maryland, College Park, MD, 20742, USA
| | - Ian M White
- Fischell Department of Bioengineering, University of Maryland, College Park, MD, 20742, USA.
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Yan AJ, Olson AM, Weigel KM, Luabeya AK, Heiniger E, Hatherill M, Cangelosi GA, Yager P. Detection of Mycobacterium tuberculosis from tongue swabs using sonication and sequence-specific hybridization capture. PLoS One 2024; 19:e0308235. [PMID: 39146324 PMCID: PMC11326604 DOI: 10.1371/journal.pone.0308235] [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: 08/17/2023] [Accepted: 07/18/2024] [Indexed: 08/17/2024] Open
Abstract
Tongue swabs hold promise as a non-invasive sample for diagnosing tuberculosis (TB). However, their utility as replacements for sputum has been limited by their varied diagnostic performance in PCR assays compared to sputum. The use of silica-based DNA extraction methods may limit sensitivity due to incomplete lysis of Mycobacterium tuberculosis (MTB) cells and co-extraction of non-target nucleic acid, which may inhibit PCR. Specificity may also be compromised because these methods are labor-intensive and prone to cross-contamination. To address these limitations, we developed a sample preparation method that combines sonication for MTB lysis and a sequence-specific MTB DNA capture method using hybridization probes immobilized on magnetic beads. In spiked tongue swabs, our hybridization capture method demonstrated a 100-fold increase in MTB DNA yield over silica-based Qiagen DNA extraction and ethanol precipitation. In a study conducted on clinical samples from South Africa, our protocol had 74% (70/94) sensitivity and 98% (41/42) specificity for detecting active pulmonary TB with sputum Xpert MTB/RIF Ultra as the reference standard. While hybridization capture did not show improved sensitivity over Qiagen DNA extraction and ethanol precipitation, it demonstrated better specificity than previously reported methods and was easier to perform. With integration into point-of-care platforms, these strategies have the potential to help enable rapid non-sputum-based TB diagnosis across key underserved patient populations.
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Affiliation(s)
- Alexander J. Yan
- Department of Bioengineering, University of Washington, Seattle, Washington, United States of America
| | - Alaina M. Olson
- Department of Environmental and Occupational Health Sciences, University of Washington, Seattle, Washington, United States of America
| | - Kris M. Weigel
- Department of Environmental and Occupational Health Sciences, University of Washington, Seattle, Washington, United States of America
| | - Angelique K. Luabeya
- South African Tuberculosis Vaccine Initiative, Institute of Infectious Disease & Molecular Medicine and Department of Pathology, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa
| | - Erin Heiniger
- Department of Bioengineering, University of Washington, Seattle, Washington, United States of America
| | - Mark Hatherill
- South African Tuberculosis Vaccine Initiative, Institute of Infectious Disease & Molecular Medicine and Department of Pathology, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa
| | - Gerard A. Cangelosi
- Department of Environmental and Occupational Health Sciences, University of Washington, Seattle, Washington, United States of America
| | - Paul Yager
- Department of Bioengineering, University of Washington, Seattle, Washington, United States of America
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White LC. Shallow sequencing can mislead when evaluating hybridization capture methods. CONSERV GENET RESOUR 2023. [DOI: 10.1007/s12686-023-01298-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/05/2023]
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Chang A, Mzava O, Djomnang LAK, Lenz JS, Burnham P, Kaplinsky P, Andama A, Connelly J, Bachman CM, Cattamanchi A, Steadman A, De Vlaminck I. Metagenomic DNA sequencing to quantify Mycobacterium tuberculosis DNA and diagnose tuberculosis. Sci Rep 2022; 12:16972. [PMID: 36216964 PMCID: PMC9551046 DOI: 10.1038/s41598-022-21244-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2022] [Accepted: 09/26/2022] [Indexed: 12/29/2022] Open
Abstract
Tuberculosis (TB) remains a significant cause of mortality worldwide. Metagenomic next-generation sequencing has the potential to reveal biomarkers of active disease, identify coinfection, and improve detection for sputum-scarce or culture-negative cases. We conducted a large-scale comparative study of 428 plasma, urine, and oral swab samples from 334 individuals from TB endemic and non-endemic regions to evaluate the utility of a shotgun metagenomic DNA sequencing assay for tuberculosis diagnosis. We found that the composition of the control population had a strong impact on the measured performance of the diagnostic test: the use of a control population composed of individuals from a TB non-endemic region led to a test with nearly 100% specificity and sensitivity, whereas a control group composed of individuals from TB endemic regions exhibited a high background of nontuberculous mycobacterial DNA, limiting the diagnostic performance of the test. Using mathematical modeling and quantitative comparisons to matched qPCR data, we found that the burden of Mycobacterium tuberculosis DNA constitutes a very small fraction (0.04 or less) of the total abundance of DNA originating from mycobacteria in samples from TB endemic regions. Our findings suggest that the utility of a minimally invasive metagenomic sequencing assay for pulmonary tuberculosis diagnostics is limited by the low burden of M. tuberculosis and an overwhelming biological background of nontuberculous mycobacterial DNA.
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Affiliation(s)
- Adrienne Chang
- grid.5386.8000000041936877XNancy E. and Peter C. Meinig School of Biomedical Engineering, Cornell University, Ithaca, NY USA
| | - Omary Mzava
- grid.5386.8000000041936877XNancy E. and Peter C. Meinig School of Biomedical Engineering, Cornell University, Ithaca, NY USA
| | - Liz-Audrey Kounatse Djomnang
- grid.5386.8000000041936877XNancy E. and Peter C. Meinig School of Biomedical Engineering, Cornell University, Ithaca, NY USA
| | - Joan Sesing Lenz
- grid.5386.8000000041936877XNancy E. and Peter C. Meinig School of Biomedical Engineering, Cornell University, Ithaca, NY USA
| | - Philip Burnham
- grid.5386.8000000041936877XNancy E. and Peter C. Meinig School of Biomedical Engineering, Cornell University, Ithaca, NY USA
| | - Peter Kaplinsky
- grid.5386.8000000041936877XNancy E. and Peter C. Meinig School of Biomedical Engineering, Cornell University, Ithaca, NY USA
| | - Alfred Andama
- grid.11194.3c0000 0004 0620 0548Department of Internal Medicine, Makerere University College of Health Sciences, Kampala, Uganda
| | | | | | - Adithya Cattamanchi
- grid.266102.10000 0001 2297 6811Center for Tuberculosis and Division of Pulmonary and Critical Care Medicine, University of California San Francisco, San Francisco, CA USA
| | | | - Iwijn De Vlaminck
- grid.5386.8000000041936877XNancy E. and Peter C. Meinig School of Biomedical Engineering, Cornell University, Ithaca, NY USA
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Oreskovic A, Waalkes A, Holmes EA, Rosenthal CA, Wilson DPK, Shapiro AE, Drain PK, Lutz BR, Salipante SJ. Characterizing the molecular composition and diagnostic potential of Mycobacterium tuberculosis urinary cell-free DNA using next-generation sequencing. Int J Infect Dis 2021; 112:330-337. [PMID: 34562627 PMCID: PMC8627387 DOI: 10.1016/j.ijid.2021.09.042] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2021] [Revised: 09/16/2021] [Accepted: 09/17/2021] [Indexed: 12/24/2022] Open
Abstract
BACKGROUND Urine cell-free DNA (cfDNA) is an attractive target for diagnosing pulmonary Mycobacterium tuberculosis (MTB) infection, but has not been thoroughly characterized as a biomarker. METHODS This study was performed to investigate the size and composition of urine cfDNA from tuberculosis (TB) patients with minimal bias using next-generation sequencing (NGS). A combination of DNA extraction and single-stranded sequence library preparation methods demonstrated to recover short, highly degraded cfDNA fragments was employed. Urine cfDNA from 10 HIV-positive patients with pulmonary TB and two MTB-negative controls was examined. RESULTS MTB-derived cfDNA was identifiable by NGS from all MTB-positive patients and was absent from negative controls. MTB cfDNA was significantly shorter than human cfDNA, with median fragment lengths of ≤19-52 bp and 42-92 bp, respectively. MTB cfDNA abundance increased exponentially with decreased fragment length, having a peak fragment length of ≤19 bp in most samples. In addition, we identified a larger fraction of short human genomic cfDNA, ranging from 29 to 53 bp, than previously reported. Urine cfDNA fragments spanned the MTB genome with relative uniformity, but nucleic acids derived from multicopy elements were proportionately over-represented. CONCLUSIONS TB urine cfDNA is a potentially powerful biomarker but is highly fragmented, necessitating special procedures to maximize its recovery and detection.
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Affiliation(s)
- Amy Oreskovic
- Department of Bioengineering, University of Washington, Seattle, Washington, USA
| | - Adam Waalkes
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, Washington, USA
| | - Elizabeth A Holmes
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, Washington, USA
| | - Christopher A Rosenthal
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, Washington, USA
| | - Douglas P K Wilson
- Umkhuseli Innovation and Research Management, Pietermaritzburg, South Africa; Edendale Hospital, University of KwaZulu-Natal, Pietermaritzburg, South Africa
| | - Adrienne E Shapiro
- Department of Medicine, University of Washington, Seattle, Washington, USA; Department of Global Health, University of Washington, Seattle, Washington, USA
| | - Paul K Drain
- Department of Medicine, University of Washington, Seattle, Washington, USA; Department of Global Health, University of Washington, Seattle, Washington, USA
| | - Barry R Lutz
- Department of Bioengineering, University of Washington, Seattle, Washington, USA; Brotman Baty Institute for Precision Medicine, Seattle, Washington, USA
| | - Stephen J Salipante
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, Washington, USA; Brotman Baty Institute for Precision Medicine, Seattle, Washington, USA.
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Progress toward Developing Sensitive Non-Sputum-Based Tuberculosis Diagnostic Tests: the Promise of Urine Cell-Free DNA. J Clin Microbiol 2021; 59:e0070621. [PMID: 33980646 DOI: 10.1128/jcm.00706-21] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
A highly accurate, non-sputum-based test for tuberculosis (TB) detection is a key priority for the field of TB diagnostics. A recent study in the Journal of Clinical Microbiology by Oreskovic and colleagues (J Clin Microbiol 59:e00074-21, 2021, https://doi.org/10.1128/JCM.00074-21) reports the performance of an optimized urine cell-free DNA (cfDNA) test using sequence-specific purification combined with short-target PCR to improve the accuracy of TB detection. Their retrospective clinical study utilized frozen urine samples (n = 73) from study participants diagnosed with active pulmonary TB in South Africa and compared results to non-TB patients in South Africa and the United States in an early-phase validation study. Overall, this cfDNA technique detected TB with a sensitivity of 83.7% (95% CI: 71.0 to 91.5) and specificity of 100% (95% CI: 86.2 to 100), which meet the World Health Organization's published performance criteria. Sensitivity was 73.3% in people without HIV (95% CI: 48.1 to 89.1) and 76% in people with smear-negative TB (95% CI: 56.5 to 88.5). In this commentary, we discuss the results of this optimized urine TB cfDNA assay within the larger context of TB diagnostics and pose additional questions for further research.
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Oreskovic A, Panpradist N, Marangu D, Ngwane MW, Magcaba ZP, Ngcobo S, Ngcobo Z, Horne DJ, Wilson DPK, Shapiro AE, Drain PK, Lutz BR. Diagnosing Pulmonary Tuberculosis by Using Sequence-Specific Purification of Urine Cell-Free DNA. J Clin Microbiol 2021; 59:e0007421. [PMID: 33789959 PMCID: PMC8373247 DOI: 10.1128/jcm.00074-21] [Citation(s) in RCA: 25] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2021] [Accepted: 03/19/2021] [Indexed: 01/17/2023] Open
Abstract
Transrenal urine cell-free DNA (cfDNA) is a promising tuberculosis (TB) biomarker, but is challenging to detect because of the short length (<100 bp) and low concentration of TB-specific fragments. We aimed to improve the diagnostic sensitivity of TB urine cfDNA by increasing recovery of short fragments during sample preparation. We developed a highly sensitive sequence-specific purification method that uses hybridization probes immobilized on magnetic beads to capture short TB cfDNA (50 bp) with 91.8% average efficiency. Combined with short-target PCR, the assay limit of detection was ≤5 copies of cfDNA in 10 ml urine. In a clinical cohort study in South Africa, our urine cfDNA assay had 83.7% sensitivity (95% CI: 71.0 to 91.5%) and 100% specificity (95% CI: 86.2 to 100%) for diagnosis of active pulmonary TB when using sputum Xpert MTB/RIF as the reference standard. The detected cfDNA concentration was 0.14 to 2,804 copies/ml (median 14.6 copies/ml) and was inversely correlated with CD4 count and days to culture positivity. Sensitivity was nonsignificantly higher in HIV-positive (88.2%) compared to HIV-negative patients (73.3%), and was not dependent on CD4 count. Sensitivity remained high in sputum smear-negative (76.0%) and urine lipoarabinomannan (LAM)-negative (76.5%) patients. With improved sample preparation, urine cfDNA is a viable biomarker for TB diagnosis. Our assay has the highest reported accuracy of any TB urine cfDNA test to date and has the potential to enable rapid non-sputum-based TB diagnosis across key underserved patient populations.
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Affiliation(s)
- Amy Oreskovic
- Department of Bioengineering, University of Washington, Seattle, Washington, USA
| | - Nuttada Panpradist
- Department of Bioengineering, University of Washington, Seattle, Washington, USA
| | - Diana Marangu
- Department of Paediatrics and Child Health, University of Nairobi, Nairobi, Kenya
| | - M. William Ngwane
- Umkhuseli Innovation and Research Management, Pietermaritzburg, South Africa
| | - Zanele P. Magcaba
- Umkhuseli Innovation and Research Management, Pietermaritzburg, South Africa
| | - Sindiswa Ngcobo
- Umkhuseli Innovation and Research Management, Pietermaritzburg, South Africa
| | - Zinhle Ngcobo
- Umkhuseli Innovation and Research Management, Pietermaritzburg, South Africa
| | - David J. Horne
- Department of Medicine, University of Washington, Seattle, Washington, USA
- Department of Global Health, University of Washington, Seattle, Washington, USA
| | - Douglas P. K. Wilson
- Umkhuseli Innovation and Research Management, Pietermaritzburg, South Africa
- Edendale Hospital, University of KwaZulu-Natal, Pietermaritzburg, South Africa
| | - Adrienne E. Shapiro
- Department of Medicine, University of Washington, Seattle, Washington, USA
- Department of Global Health, University of Washington, Seattle, Washington, USA
| | - Paul K. Drain
- Department of Medicine, University of Washington, Seattle, Washington, USA
- Department of Global Health, University of Washington, Seattle, Washington, USA
| | - Barry R. Lutz
- Department of Bioengineering, University of Washington, Seattle, Washington, USA
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