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Cafolla C, Philpott-Robson J, Elbourne A, Voïtchovsky K. Quantitative Detection of Biological Nanovesicles in Drops of Saliva Using Microcantilevers. ACS APPLIED MATERIALS & INTERFACES 2024; 16:44-53. [PMID: 38157306 PMCID: PMC10788824 DOI: 10.1021/acsami.3c12035] [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: 08/14/2023] [Revised: 12/06/2023] [Accepted: 12/07/2023] [Indexed: 01/03/2024]
Abstract
Extracellular nanovesicles (EVs) are lipid-based vesicles secreted by cells and are present in all bodily fluids. They play a central role in communication between distant cells and have been proposed as potential indicators for the early detection of a wide range of diseases, including different types of cancer. However, reliable quantification of a specific subpopulation of EVs remains challenging. The process is typically lengthy and costly and requires purification of relatively large quantities of biopsy samples. Here, we show that microcantilevers operated with sufficiently small vibration amplitudes can successfully quantify a specific subpopulation of EVs directly from a drop (0.1 mL) of unprocessed saliva in less than 20 min. Being a complex fluid, saliva is highly non-Newtonian, normally precluding mechanical sensing. With a combination of standard rheology and microrheology, we demonstrate that the non-Newtonian properties are scale-dependent, enabling microcantilever measurements with a sensitivity identical to that in pure water when operating at the nanoscale. We also address the problem of unwanted sensor biofouling by using a zwitterionic coating, allowing efficient quantification of EVs at concentrations down to 0.1 μg/mL, based on immunorecognition of the EVs' surface proteins. We benchmark the technique on model EVs and illustrate its potential by quantifying populations of natural EVs commonly present in human saliva. The method effectively bypasses the difficulty of targeted detection in non-Newtonian fluids and could be used for various applications, from the detection of EVs and viruses in bodily fluids to the detection of molecular clusters or nanoparticles in other complex fluids.
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Affiliation(s)
| | | | - Aaron Elbourne
- School
of Science, STEM College, RMIT University, Melbourne, VIC 3001, Australia
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Tayyab M, Barrett D, van Riel G, Liu S, Reinius B, Scharfe C, Griffin P, Steinmetz LM, Javanmard M, Pelechano V. Digital assay for rapid electronic quantification of clinical pathogens using DNA nanoballs. SCIENCE ADVANCES 2023; 9:eadi4997. [PMID: 37672583 PMCID: PMC10482329 DOI: 10.1126/sciadv.adi4997] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/29/2023] [Accepted: 08/04/2023] [Indexed: 09/08/2023]
Abstract
Fast and accurate detection of nucleic acids is key for pathogen identification. Methods for DNA detection generally rely on fluorescent or colorimetric readout. The development of label-free assays decreases costs and test complexity. We present a novel method combining a one-pot isothermal generation of DNA nanoballs with their detection by electrical impedance. We modified loop-mediated isothermal amplification by using compaction oligonucleotides that self-assemble the amplified target into nanoballs. Next, we use capillary-driven flow to passively pass these nanoballs through a microfluidic impedance cytometer, thus enabling a fully compact system with no moving parts. The movement of individual nanoballs is detected by a change in impedance providing a quantized readout. This approach is flexible for the detection of DNA/RNA of numerous targets (severe acute respiratory syndrome coronavirus 2, HIV, β-lactamase gene, etc.), and we anticipate that its integration into a standalone device would provide an inexpensive (<$5), sensitive (10 target copies), and rapid test (<1 hour).
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Affiliation(s)
- Muhammad Tayyab
- Rutgers, The State University of New Jersey, New Brunswick, NJ, USA
| | - Donal Barrett
- SciLifeLab, Department of Microbiology, Tumor and Cell Biology, Karolinska Institutet, Solna, Sweden
| | - Gijs van Riel
- SciLifeLab, Department of Microbiology, Tumor and Cell Biology, Karolinska Institutet, Solna, Sweden
| | - Shujing Liu
- SciLifeLab, Department of Microbiology, Tumor and Cell Biology, Karolinska Institutet, Solna, Sweden
- International Institute of Tea Industry Innovation for the Belt and Road, Nanjing Agricultural University, Nanjing 210095, China
| | - Björn Reinius
- Department of Medical Biochemistry and Biophysics, Karolinska Institutet, Solna, Sweden
| | | | - Peter Griffin
- Stanford Genome Technology Center, Stanford, CA, USA
| | - Lars M. Steinmetz
- Stanford Genome Technology Center, Stanford, CA, USA
- Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA
| | - Mehdi Javanmard
- Rutgers, The State University of New Jersey, New Brunswick, NJ, USA
| | - Vicent Pelechano
- SciLifeLab, Department of Microbiology, Tumor and Cell Biology, Karolinska Institutet, Solna, Sweden
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Vasei M, Jafari E, Falah Azad V, Safavi M, Sotoudeh M. Molecular Diagnosis of COVID-19; Biosafety and Pre-analytical Recommendations. IRANIAN JOURNAL OF PATHOLOGY 2023; 18:244-256. [PMID: 37942195 PMCID: PMC10628373 DOI: 10.30699/ijp.2023.1988405.3061] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/08/2023] [Accepted: 05/08/2023] [Indexed: 11/10/2023]
Abstract
From the beginning of the COVID-19 epidemic, clinical laboratories around the world have been involved with tests for detection of SARS-CoV-2. At present, RT-PCR (real-time reverse transcription polymerase chain reaction assay) is seen as the gold standard for identifying the virus. Many factors are involved in achieving the highest accuracy in this test, including parameters related to the pre-analysis stage. Having instructions on the type of sample, how to take the sample, and its storage and transportation help control the interfering factors at this stage. Studies have shown that pre-analytical factors might be the cause of the high SARS-CoV-2 test false-negative rates. Also, the safety of personnel in molecular laboratories is of utmost importance, and it requires strict guidelines to ensure the safety of exposed individuals and prevent the virus from spreading. Since the onset of the outbreak, various instructions and guidelines have been developed in this field by the institutions and the Ministry of Health of each country; these guidelines are seriously in need of integration and operation. In this study, we try to collect all the information and research done from the beginning of this pandemic in December 2019 - August 2022 concerning biosafety and protective measures, sample types, sampling methods, container, and storage solutions, sampling equipment, and sample storage and transportation for molecular testing of SARS-CoV-2.
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Affiliation(s)
- Mohammad Vasei
- Molecular Pathology and Cytogenetics Division, Pathology Department, Children's Medical Center, Tehran University of Medical Sciences, Tehran, Iran
- Cell-BasedTherapies Research Center, Digestive Disease Research Institute, Shari'ati Hospital, Tehran University of Medical Science, Tehran, Iran
| | - Elham Jafari
- Molecular Pathology and Cytogenetics Division, Pathology Department, Children's Medical Center, Tehran University of Medical Sciences, Tehran, Iran
- Pathology and Stem Cells Research Center, Kerman University of Medical Sciences, Kerman, Iran
| | - Vahid Falah Azad
- Molecular Pathology and Cytogenetics Division, Pathology Department, Children's Medical Center, Tehran University of Medical Sciences, Tehran, Iran
| | - Moeinadin Safavi
- Molecular Pathology and Cytogenetics Division, Pathology Department, Children's Medical Center, Tehran University of Medical Sciences, Tehran, Iran
| | - Maryam Sotoudeh
- Molecular Pathology and Cytogenetics Division, Pathology Department, Children's Medical Center, Tehran University of Medical Sciences, Tehran, Iran
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Song T, Chen C, Bao S, Du B, Wang X, Liu J, Wang F, Ma W, Yao G, Wan X, Zhang X, Wang J, Jiang H. An immobilization-based, loop-mediated isothermal amplification device for nucleic acid detection of SARS-CoV-2 N gene. BIOTECHNOL BIOTEC EQ 2022. [DOI: 10.1080/13102818.2022.2134822] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/02/2023] Open
Affiliation(s)
- Tianyu Song
- State Key Laboratory of NBC Protection for Civilian, Beijing, PR China
| | - Chang Chen
- State Key Laboratory of NBC Protection for Civilian, Beijing, PR China
| | - Shaoheng Bao
- State Key Laboratory of NBC Protection for Civilian, Beijing, PR China
| | - Bin Du
- State Key Laboratory of NBC Protection for Civilian, Beijing, PR China
| | - Xiaokun Wang
- State Key Laboratory of NBC Protection for Civilian, Beijing, PR China
| | - Jiajia Liu
- State Key Laboratory of NBC Protection for Civilian, Beijing, PR China
| | - Fuli Wang
- State Key Laboratory of NBC Protection for Civilian, Beijing, PR China
| | - Wei Ma
- State Key Laboratory of NBC Protection for Civilian, Beijing, PR China
| | - Ge Yao
- State Key Laboratory of NBC Protection for Civilian, Beijing, PR China
| | - Xiukun Wan
- State Key Laboratory of NBC Protection for Civilian, Beijing, PR China
| | - Xinlong Zhang
- State Key Laboratory of NBC Protection for Civilian, Beijing, PR China
| | - Jingjing Wang
- State Key Laboratory of NBC Protection for Civilian, Beijing, PR China
| | - Hui Jiang
- State Key Laboratory of NBC Protection for Civilian, Beijing, PR China
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Ortiz-Cartagena C, Fernández-García L, Blasco L, Pacios O, Bleriot I, López M, Cantón R, Tomás M. Reverse Transcription-Loop-Mediated Isothermal Amplification-CRISPR-Cas13a Technology as a Promising Diagnostic Tool for SARS-CoV-2. Microbiol Spectr 2022; 10:e0239822. [PMID: 36169448 PMCID: PMC9604158 DOI: 10.1128/spectrum.02398-22] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2022] [Accepted: 09/07/2022] [Indexed: 01/04/2023] Open
Abstract
At the end of 2019, a new coronavirus, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), caused a pandemic that persists to date and has resulted in more than 6.2 million deaths. In the last couple of years, researchers have made great efforts to develop a diagnostic technique that maintains high levels of sensitivity and specificity, since an accurate and early diagnosis is required to minimize the prevalence of SARS-CoV-2 infection. In this context, CRISPR-Cas systems are proposed as promising tools for development as diagnostic techniques due to their high specificity, highlighting that Cas13 endonuclease discriminates single nucleotide changes and displays collateral activity against single-stranded RNA molecules. With the aim of improving the sensitivity of diagnosis, this technology is usually combined with isothermal preamplification reactions (SHERLOCK, DETECTR). Based on this, we developed a reverse transcription-loop-mediated isothermal amplification (RT-LAMP)-CRISPR-Cas13a method for SARS-CoV-2 virus detection in nasopharyngeal samples without using RNA extraction that exhibits 100% specificity and 83% sensitivity, as well as a positive predictive value (PPV) of 100% and negative predictive values (NPVs) of 100%, 81%, 79.1%, and 66.7% for cycle threshold (CT) values of <20, 20 to 30, >30 and overall, respectively. IMPORTANCE The coronavirus disease 2019 (COVID-19) crisis has driven the development of innovative molecular diagnosis methods, including CRISPR-Cas technology. In this work, we performed a protocol, working with RNA extraction kit-free samples and using RT-LAMP-CRISPR-Cas13a technology; our results place this method at the forefront of rapid and specific diagnostic methods for COVID-19 due to the high specificity (100%), sensitivity (83%), PPVs (100%), and NPVs (81% for high viral loads) obtained with clinical samples.
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Affiliation(s)
- Concha Ortiz-Cartagena
- Translational and Multidisciplinary Microbiology (MicroTM), Biomedical Research Institute A Coruña (INIBIC), Microbiology Department, Hospital A Coruña (CHUAC), University of A Coruña (UDC), A Coruña, Spain
| | - Laura Fernández-García
- Translational and Multidisciplinary Microbiology (MicroTM), Biomedical Research Institute A Coruña (INIBIC), Microbiology Department, Hospital A Coruña (CHUAC), University of A Coruña (UDC), A Coruña, Spain
| | - Lucia Blasco
- Translational and Multidisciplinary Microbiology (MicroTM), Biomedical Research Institute A Coruña (INIBIC), Microbiology Department, Hospital A Coruña (CHUAC), University of A Coruña (UDC), A Coruña, Spain
| | - Olga Pacios
- Translational and Multidisciplinary Microbiology (MicroTM), Biomedical Research Institute A Coruña (INIBIC), Microbiology Department, Hospital A Coruña (CHUAC), University of A Coruña (UDC), A Coruña, Spain
| | - Inés Bleriot
- Translational and Multidisciplinary Microbiology (MicroTM), Biomedical Research Institute A Coruña (INIBIC), Microbiology Department, Hospital A Coruña (CHUAC), University of A Coruña (UDC), A Coruña, Spain
| | - María López
- Translational and Multidisciplinary Microbiology (MicroTM), Biomedical Research Institute A Coruña (INIBIC), Microbiology Department, Hospital A Coruña (CHUAC), University of A Coruña (UDC), A Coruña, Spain
- Spanish Network for Research in Infectious Diseases (REIPI) and CIBER de Enfermedades Infecciosas (CIBERINFEC), Instituto de Salud Carlos III, Madrid, Spain
| | - Rafael Cantón
- Spanish Network for Research in Infectious Diseases (REIPI) and CIBER de Enfermedades Infecciosas (CIBERINFEC), Instituto de Salud Carlos III, Madrid, Spain
- Servicio de Microbiología, Hospital Universitario Ramón y Cajal and Instituto Ramón y Cajal de Investigación Sanitaria (IRYCIS), Madrid, Spain
| | - María Tomás
- Translational and Multidisciplinary Microbiology (MicroTM), Biomedical Research Institute A Coruña (INIBIC), Microbiology Department, Hospital A Coruña (CHUAC), University of A Coruña (UDC), A Coruña, Spain
- Spanish Network for Research in Infectious Diseases (REIPI) and CIBER de Enfermedades Infecciosas (CIBERINFEC), Instituto de Salud Carlos III, Madrid, Spain
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Bordbar MM, Samadinia H, Sheini A, Aboonajmi J, Sharghi H, Hashemi P, Khoshsafar H, Ghanei M, Bagheri H. A colorimetric electronic tongue for point-of-care detection of COVID-19 using salivary metabolites. Talanta 2022; 246:123537. [PMID: 35597231 PMCID: PMC9107099 DOI: 10.1016/j.talanta.2022.123537] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2022] [Revised: 05/08/2022] [Accepted: 05/08/2022] [Indexed: 01/30/2023]
Abstract
The monitoring of profile concentrations of chemical markers in saliva samples can be used to diagnose COVID-19 patients, and differentiate them from healthy individuals. Here, this purpose is achieved by designing a paper-based colorimetric sensor with an origami structure, containing general receptors such as pH-sensitive organic dyes, Lewis donors or acceptors, functionalized nanoparticles, and ion metal complexes. The color changes taking place in the receptors in the presence of chemical markers are visually observed and recorded with a digital instrument. Different types and amounts of the chemical markers provide the sensor with a unique response for patients (60 samples) or healthy (55 samples) individuals. These two categories can be discriminated with 84.3% accuracy. This study evidences that the saliva composition of cured and healthy participants is different from each other with accuracy of 85.7%. Moreover, viral load values obtained from the rRT-PCR method can be estimated by the designed sensor. Besides COVID-19, it may possible to simultaneously identify smokers and people with kidney disease and diabetes using the specified electronic tongue. Due to its high efficiency, the prepared paper device can be employed as a rapid detection kit to detect COVID-19.
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Affiliation(s)
- Mohammad Mahdi Bordbar
- Chemical Injuries Research Center, Systems Biology and Poisonings Institute, Baqiyatallah University of Medical Sciences, Tehran, Iran
| | - Hosein Samadinia
- Chemical Injuries Research Center, Systems Biology and Poisonings Institute, Baqiyatallah University of Medical Sciences, Tehran, Iran
| | - Azarmidokht Sheini
- Department of Mechanical Engineering, Shohadaye Hoveizeh Campus of Technology, Shahid Chamran University of Ahvaz, Dashte Azadegan, Khuzestan, Iran
| | - Jasem Aboonajmi
- Department of Chemistry, College of Sciences, Shiraz University, Shiraz, Iran
| | - Hashem Sharghi
- Department of Chemistry, College of Sciences, Shiraz University, Shiraz, Iran
| | - Pegah Hashemi
- Research and Development Department, Farin Behbood Tashkhis LTD, Tehran, Iran
| | - Hosein Khoshsafar
- Chemical Injuries Research Center, Systems Biology and Poisonings Institute, Baqiyatallah University of Medical Sciences, Tehran, Iran
| | - Mostafa Ghanei
- Chemical Injuries Research Center, Systems Biology and Poisonings Institute, Baqiyatallah University of Medical Sciences, Tehran, Iran
| | - Hasan Bagheri
- Chemical Injuries Research Center, Systems Biology and Poisonings Institute, Baqiyatallah University of Medical Sciences, Tehran, Iran.
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