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Sun W, Nan J, Che Y, Shan H, Sun Y, Xu W, Zhu S, Zhang J, Yang B. Liquid-metal-based microfluidic nanoplasmonic platform for point-of-care naked-eye antibody detection. Biosens Bioelectron 2024; 261:116469. [PMID: 38850738 DOI: 10.1016/j.bios.2024.116469] [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: 01/22/2024] [Revised: 04/30/2024] [Accepted: 05/09/2024] [Indexed: 06/10/2024]
Abstract
Despite high sensitivity of nanoparticle-on-mirror cavities, a crucial branch of plasmonic nanomaterials, complex preparation and readout processes limit their extensive application in biosensing. Alternatively, liquid metals (LMs) combining fluidity and excellent plasmonic characteristics have become potential candidates for constructing plasmonic nanostructures. Herein, we propose a microfluidic-integration strategy to construct LM-based immunoassay platform, enabling LM-based nanoplasmonic sensors to be used for point-of-care (POC) clinical biomarker detection. Flowable LM is introduced onto protein-coated Au nanoparticle monolayer to form a "mirror-on-nanoparticle" nanostructure, simplifying the fabrication process in the conventional nanoparticle-on-mirror cavities. When antibodies were captured by antigens coated on the Au nanoparticle monolayer, devices respond both thickness and refractive index change of biomolecular layers, outputting naked-eye readable signals with high sensitivity (limit of detection: ∼ 604 fM) and a broad dynamic range (6 orders). This new assay, which generates quantitative results in 30 min, allows for high-throughput, smartphone-based detection of SARS-CoV-2 antibodies against multiple variants in clinical serum or blood samples. These results establish an advanced avenue for POC testing with LM materials, and demonstrate its potential to facilitate diagnostics, surveillance and prevalence studies for various infectious diseases.
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Affiliation(s)
- Weihong Sun
- State Key Laboratory of Supramolecular Structure and Materials, Center for Supramolecular, Chemical Biology, College of Chemistry, Jilin University, Changchun, 130012, PR China; Joint Laboratory of Opto-Functional Theranostics in Medicine and Chemistry, The First Hospital of Jilin University, Changchun, 130021, PR China
| | - Jingjie Nan
- State Key Laboratory of Supramolecular Structure and Materials, Center for Supramolecular, Chemical Biology, College of Chemistry, Jilin University, Changchun, 130012, PR China; Joint Laboratory of Opto-Functional Theranostics in Medicine and Chemistry, The First Hospital of Jilin University, Changchun, 130021, PR China
| | - Yuanyuan Che
- Department of Laboratory Medicine, The First Hospital of Jilin University, Changchun, 130021, PR China
| | - Hongli Shan
- Department of Laboratory Medicine, The First Hospital of Jilin University, Changchun, 130021, PR China
| | - Yihan Sun
- State Key Laboratory of Supramolecular Structure and Materials, Center for Supramolecular, Chemical Biology, College of Chemistry, Jilin University, Changchun, 130012, PR China; Joint Laboratory of Opto-Functional Theranostics in Medicine and Chemistry, The First Hospital of Jilin University, Changchun, 130021, PR China
| | - Wei Xu
- Department of Laboratory Medicine, The First Hospital of Jilin University, Changchun, 130021, PR China
| | - Shoujun Zhu
- State Key Laboratory of Supramolecular Structure and Materials, Center for Supramolecular, Chemical Biology, College of Chemistry, Jilin University, Changchun, 130012, PR China; Joint Laboratory of Opto-Functional Theranostics in Medicine and Chemistry, The First Hospital of Jilin University, Changchun, 130021, PR China
| | - Junhu Zhang
- State Key Laboratory of Supramolecular Structure and Materials, Center for Supramolecular, Chemical Biology, College of Chemistry, Jilin University, Changchun, 130012, PR China; Joint Laboratory of Opto-Functional Theranostics in Medicine and Chemistry, The First Hospital of Jilin University, Changchun, 130021, PR China.
| | - Bai Yang
- State Key Laboratory of Supramolecular Structure and Materials, Center for Supramolecular, Chemical Biology, College of Chemistry, Jilin University, Changchun, 130012, PR China; Joint Laboratory of Opto-Functional Theranostics in Medicine and Chemistry, The First Hospital of Jilin University, Changchun, 130021, PR China
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2
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F Silva WR, P Monteiro LC, Senra RL, D de Araújo EN, R R Cunha RO, de O Mendes TA, S Mendes JB. A biosensor based on magnetoelastic waves for detection of antibodies in human plasma for COVID-19 serodiagnosis. Biosens Bioelectron 2024; 261:116456. [PMID: 38878694 DOI: 10.1016/j.bios.2024.116456] [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: 02/15/2024] [Revised: 05/23/2024] [Accepted: 05/30/2024] [Indexed: 07/02/2024]
Abstract
This study proposes a new efficient wireless biosensor based on magnetoelastic waves for antibody detection in human plasma, aiming at the serological diagnosis of COVID-19. The biosensor underwent functionalization with the N antigen - nucleocapsid phosphoprotein of the SARS-CoV-2 virus. Validation analyses by sodium dodecyl-sulfate polyacrylamide gel electrophoresis (SDS-PAGE), Western blotting (WB), atomic force microscopy (AFM), scanning electron microscopy (SEM), energy-dispersive X-ray (EDX) microanalysis and micro-Raman spectroscopy confirmed the selectivity and effective surface functionalization of the biosensor. The research successfully obtained, expressed and purified the recombinant antigen, while plasma samples from COVID-19 positive and negative patients were applied to test the performance of the biosensor. A performance comparison with the enzyme-linked immunosorbent assays (ELISA) method revealed equivalent diagnostic capacity. These results indicate the robustness of the biosensor in reliably differentiating between positive and negative samples, highlighting its potential as an efficient and low-cost tool for the serological diagnosis of COVID-19. In addition to being fast to execute and having the potential for automation in large-scale diagnostic studies, the biosensor fills a significant gap in existing SARS-CoV-2 detection approaches.
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Affiliation(s)
- Wenderson R F Silva
- Departamento de Física, Universidade Federal de Viçosa, 36570-90, Viçosa, Minas Gerais, Brazil.
| | - Larissa C P Monteiro
- Departamento de Bioquímica e Biologia Molecular, Universidade Federal de Viçosa, 36570-900, Viçosa, Minas Gerais, Brazil
| | - Renato Lima Senra
- Departamento de Bioquímica e Biologia Molecular, Universidade Federal de Viçosa, 36570-900, Viçosa, Minas Gerais, Brazil
| | - Eduardo N D de Araújo
- Departamento de Física, Universidade Federal de Viçosa, 36570-90, Viçosa, Minas Gerais, Brazil
| | - Rafael O R R Cunha
- Departamento de Física, Universidade Federal de Viçosa, 36570-90, Viçosa, Minas Gerais, Brazil
| | - Tiago A de O Mendes
- Departamento de Bioquímica e Biologia Molecular, Universidade Federal de Viçosa, 36570-900, Viçosa, Minas Gerais, Brazil
| | - Joaquim B S Mendes
- Departamento de Física, Universidade Federal de Viçosa, 36570-90, Viçosa, Minas Gerais, Brazil
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3
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Yu P, Li Y, Fu W, Yu X, Sui D, Xu H, Sun W. Microglia Caspase11 non-canonical inflammasome drives fever. Acta Physiol (Oxf) 2024; 240:e14187. [PMID: 38864370 DOI: 10.1111/apha.14187] [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: 10/27/2023] [Revised: 05/07/2024] [Accepted: 05/28/2024] [Indexed: 06/13/2024]
Abstract
AIM Animals exhibit physiological changes designed to eliminate the perceived danger, provoking similar symptoms of fever. However, a high-grade fever indicates poor clinical outcomes. Caspase11 (Casp11) is involved in many inflammatory diseases. Whether Casp11 leads to fever remains unclear. In this study, we investigate the role of the preoptic area of the hypothalamus (PO/AH) microglia Casp11 in fever. METHODS We perform experiments using a rat model of LPS-induced fever. We measure body temperature and explore the functions of peripheral macrophages and PO/AH microglia in fever signaling by ELISA, immunohistochemistry, immunofluorescence, flow cytometry, macrophage depletion, protein blotting, and RNA-seq. Then, the effects of macrophages on microglia in a hyperthermic environment are observed in vitro. Finally, adeno-associated viruses are used to knockdown or overexpress microglia Casp11 in PO/AH to determine the role of Casp11 in fever. RESULTS We find peripheral macrophages and PO/AH microglia play important roles in the process of fever, which is proved by macrophage and microglia depletion. By RNA-seq analysis, we find Casp11 expression in PO/AH is significantly increased during fever. Co-culture and conditioned-culture simulate the induction of microglia Casp11 activation by macrophages in a non-contact manner. Microglia Casp11 knockdown decreases body temperature, pyrogenic factors, and inflammasome, and vice versa. CONCLUSION We report that Casp11 drives fever. Mechanistically, peripheral macrophages transmit immune signals via cytokines to microglia in PO/AH, which activate the Casp11 non-canonical inflammasome. Our findings identify a novel player, the microglia Casp11, in the control of fever, providing an explanation for the transmission and amplification of fever immune signaling.
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Affiliation(s)
- Ping Yu
- Department of Pharmacology, School of Pharmaceutical Sciences, Jilin University, Changchun, China
| | - Yuangeng Li
- Department of Pharmacology, School of Pharmaceutical Sciences, Jilin University, Changchun, China
- Cancer Center, The First Hospital, Jilin University, Changchun, China
| | - Wenwen Fu
- Department of Pharmacology, School of Pharmaceutical Sciences, Jilin University, Changchun, China
| | - Xiaofeng Yu
- Department of Pharmacology, School of Pharmaceutical Sciences, Jilin University, Changchun, China
| | - Dayun Sui
- Department of Pharmacology, School of Pharmaceutical Sciences, Jilin University, Changchun, China
| | - Huali Xu
- Department of Pharmacology, School of Pharmaceutical Sciences, Jilin University, Changchun, China
| | - Weilun Sun
- Department of Pharmacology, School of Pharmaceutical Sciences, Jilin University, Changchun, China
- Key Laboratory of Organ Regeneration and Transplantation of Ministry of Education, Institute of Immunology, The First Hospital, Jilin University, Changchun, China
- National-Local Joint Engineering Laboratory of Animal Models for Human Diseases, The First Hospital, Jilin University, Changchun, China
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4
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Zhao Y, Qiu J, Jiang P, Wang M, Sun M, Fan G, Yang N, Huang N, Han Y, Han L, Zhang Y. RNA extraction-free reduced graphene oxide-based RT-LAMP fluorescence assay for highly sensitive SARS-CoV-2 detection. Talanta 2024; 277:126413. [PMID: 38876035 DOI: 10.1016/j.talanta.2024.126413] [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: 01/24/2024] [Revised: 05/14/2024] [Accepted: 06/10/2024] [Indexed: 06/16/2024]
Abstract
Infectious diseases have always been a seriously endanger for human life and health. A rapid, accurate and ultra-sensitive virus nucleic acid detection is still a challenge to deal with infectious diseases. Here, a RNA extraction-free reduced graphene oxide-based reverse transcription-loop-mediated isothermal amplification (EF-G-RT-LAMP) fluorescence assay was developed to achieve high-throughput, rapid and ultra-sensitive SARS-CoV-2 RNA detection. The whole detection process only took ∼36 min. The EF-G-RT-LAMP assay achieves a detection limit of 0.6 copies μL-1 with a wide dynamic range of aM-pM. A large number (up to 384) of samples can be detected simultaneously. Simulated detection of the COVID-19 pseudovirus and clinical samples in nasopharyngeal swabs demonstrated a high-throughput, rapid and ultra-sensitive practical detection capability of the EF-G-RT-LAMP assay. The results proved that the assay would be used as a rapid, easy-to-implement approach for epidemiologic diagnosis and could be extended to other nucleic acid detections.
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Affiliation(s)
- Yujuan Zhao
- Institute of Marine Science and Technology, Shandong University, Qingdao, 266237, China
| | - Jiaoyan Qiu
- Institute of Marine Science and Technology, Shandong University, Qingdao, 266237, China
| | - Peiqing Jiang
- Department of Cardiology, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Qingdao, Shandong, 266035, China
| | - Min Wang
- Institute of Marine Science and Technology, Shandong University, Qingdao, 266237, China
| | - Mingyuan Sun
- Institute of Marine Science and Technology, Shandong University, Qingdao, 266237, China
| | - Guangpeng Fan
- Institute of Marine Science and Technology, Shandong University, Qingdao, 266237, China
| | - Ningkai Yang
- Institute of Marine Science and Technology, Shandong University, Qingdao, 266237, China
| | - Ning Huang
- Shandong Lifei Biological Group, Qingdao, 266000, China
| | - Yunrui Han
- Institute of Marine Science and Technology, Shandong University, Qingdao, 266237, China
| | - Lin Han
- Institute of Marine Science and Technology, Shandong University, Qingdao, 266237, China; School of Integrated Circuits, Shandong University, Jinan, Shandong, 250100, China; Shandong Engineering Research Center of Biomarker and Artificial Intelligence Application, Jinan, 250100, China
| | - Yu Zhang
- Institute of Marine Science and Technology, Shandong University, Qingdao, 266237, China; School of Integrated Circuits, Shandong University, Jinan, Shandong, 250100, China.
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5
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Zhang L, Qin J, Li P. Bioinformatics analysis of potential common pathogenic mechanisms for COVID-19 and venous thromboembolism. Cytokine 2024; 181:156682. [PMID: 38909539 DOI: 10.1016/j.cyto.2024.156682] [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: 12/21/2023] [Revised: 05/20/2024] [Accepted: 06/18/2024] [Indexed: 06/25/2024]
Abstract
BACKGROUND A growing body of research has shown that patients with coronavirus disease 2019 (COVID-19) have significantly higher rates of venous thromboembolism (VTE) than healthy. However, the mechanism remains incompletely elucidated. This study aimed to further investigate the molecular mechanisms underlying the development of this complication. METHODS The gene expression profiles of COVID-19 and VTE were downloaded from the Gene Expression Omnibus (GEO) database. After identifying the common differentially expressed genes (DEGs) for COVID-19 and VTE, functional annotation, a protein-protein interactions (PPI) network, module construction, and hub gene identification were performed. Finally, we constructed a transcription factor (TF)-gene regulatory network and a TF-miRNA regulatory network for hub genes. RESULTS A total of 42 common DEGs were selected for subsequent analyses. Functional analyses showed that biological function and signaling pathways collectively participated in the development and progression of VTE and COVID-19. Finally, 8 significant hub genes were identified using the cytoHubba plugin, including RSL24D1, RPS17, RPS27, HINT1, COX7C, RPL35, RPL34, and NDUFA4, which had preferable values as diagnostic markers for COVID-19 and VTE. CONCLUSIONS Our study revealed the common pathogenesis of COVID-19 and VTE. These common pathways and pivotal genes may provide new ideas for further mechanistic studies.
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Affiliation(s)
- Ling Zhang
- Department of Emergency Medicine, Lanzhou University Second Hospital, Lanzhou, Gansu, China
| | - Jing Qin
- Department of Emergency Medicine, Lanzhou University Second Hospital, Lanzhou, Gansu, China
| | - Peiwu Li
- Department of Emergency Medicine, Lanzhou University Second Hospital, Lanzhou, Gansu, China.
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6
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Zeng W, Chen W, Liu Y, Zhang T, Zhai C, Li W, Wang L, Zhang C, Zeng Q, Wang F, Ma L. Preamplification-free ultra-fast and ultra-sensitive point-of-care testing via LwaCas13a. Biosens Bioelectron 2024; 259:116400. [PMID: 38776799 DOI: 10.1016/j.bios.2024.116400] [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: 12/15/2023] [Revised: 05/02/2024] [Accepted: 05/14/2024] [Indexed: 05/25/2024]
Abstract
CRISPR based nucleic acid detection technology provides a deployable approach to point of care testing. While, there remain challenges limiting its practical applications, such as the need for pre-amplification and the long turnaround time. Here, we present a self-cascade signal amplification method with LwaCas13a and an artificially designed "U" rich RNA of stem-loop structure (URH) for pre-amplification-free ultra-fast and ultra-sensitive point-of-care testing (PASSPORT). The PASSPORT system contains: URH, crRNA targeted the URH, crRNA targeted the interesting RNA, fluorescent RNA reporter and LwaCas13a. The assay realized the detection of 100 copies/mL, within 5 min. The PASSPORT platform was further adopted for the detection of marker gene from SASR-CoV-2 and Severe fever with thrombocytopenia syndrome virus (SFTSV), respectively, and 100% accuracy for the analysis of clinical specimens (100 SASR-CoV-2 specimens and 16 SFTSV specimens) was obtained. Integrated with a lateral flow assay device, this assay could provide an alternative platform for the development of point of care testing (POCT) biosensors. PASSPORT has the potential to enable sensitive, specific, user-friendly, rapid, affordable, equipment-free and point-of-care testing for the purpose of large-scale screening and in case of epidemic outbreak.
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Affiliation(s)
- Wanting Zeng
- State Key Laboratory of Biocatalysis and Enzyme Engineering, Hubei Province Key Laboratory of Industrial Biotechnology, School of Life Sciences, Hubei University, Wuhan, China
| | - Wanping Chen
- State Key Laboratory of Biocatalysis and Enzyme Engineering, Hubei Province Key Laboratory of Industrial Biotechnology, School of Life Sciences, Hubei University, Wuhan, China
| | - Yang Liu
- State Key Laboratory of Biocatalysis and Enzyme Engineering, Hubei Province Key Laboratory of Industrial Biotechnology, School of Life Sciences, Hubei University, Wuhan, China
| | - Ting Zhang
- Hubei Provincial Center for Disease Control and Prevention, Wuhan, 430079, China
| | - Chao Zhai
- State Key Laboratory of Biocatalysis and Enzyme Engineering, Hubei Province Key Laboratory of Industrial Biotechnology, School of Life Sciences, Hubei University, Wuhan, China
| | - Wenqiang Li
- State Key Laboratory of Biocatalysis and Enzyme Engineering, Hubei Province Key Laboratory of Industrial Biotechnology, School of Life Sciences, Hubei University, Wuhan, China
| | - Longyu Wang
- State Key Laboratory of Biocatalysis and Enzyme Engineering, Hubei Province Key Laboratory of Industrial Biotechnology, School of Life Sciences, Hubei University, Wuhan, China
| | - Cheng Zhang
- State Key Laboratory of Biocatalysis and Enzyme Engineering, Hubei Province Key Laboratory of Industrial Biotechnology, School of Life Sciences, Hubei University, Wuhan, China
| | - Qili Zeng
- Hubei Provincial Center for Disease Control and Prevention, Wuhan, 430079, China
| | - Fei Wang
- State Key Laboratory of Biocatalysis and Enzyme Engineering, Hubei Province Key Laboratory of Industrial Biotechnology, School of Life Sciences, Hubei University, Wuhan, China.
| | - Lixin Ma
- State Key Laboratory of Biocatalysis and Enzyme Engineering, Hubei Province Key Laboratory of Industrial Biotechnology, School of Life Sciences, Hubei University, Wuhan, China.
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Lu J, Han Y, Wu Y, Wang K, Yang J, Miao P, Li G. Simplified Electrochemical Approach for End-Point Yet Quantitative Detection of Nucleic Acids in Resource-Limited Settings. ACS Sens 2024; 9:4098-4106. [PMID: 39033535 DOI: 10.1021/acssensors.4c01025] [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] [Indexed: 07/23/2024]
Abstract
Nucleic acid detection plays a crucial role in various aspects of health care, necessitating accessible and reliable quantification methods, especially in resource-limited settings. This work presents a simplified electrochemical approach for end-point yet quantitative nucleic acid detection. By elevating the concentration of redox species and choosing potential as the signals, we achieved enhanced signal robustness, even in the presence of interfering substances. Leveraging this robustness, we accurately measured pH-induced redox potential changes in methylene blue solution for end-point nucleic acid detection after loop-mediated isothermal amplification (LAMP). Our method demonstrated quantitative detection of the SARS-CoV-2 N gene and human ATCB gene and successful discrimination of the human BRAF V600E mutation, comparable in sensitivity to commercial kits. The developed user-friendly electrochemical method offers a simplified and reliable approach for end-point yet quantitative detection of nucleic acids, potentially expanding the benefits of nucleic acid testing in resource-limited settings.
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Affiliation(s)
- Jianyang Lu
- State Key Laboratory of Analytical Chemistry for Life Science, School of Life Sciences, Nanjing University, Nanjing 210023, P. R. China
| | - Yiwei Han
- State Key Laboratory of Analytical Chemistry for Life Science, School of Life Sciences, Nanjing University, Nanjing 210023, P. R. China
| | - Yanbing Wu
- State Key Laboratory of Analytical Chemistry for Life Science, School of Life Sciences, Nanjing University, Nanjing 210023, P. R. China
| | - Kaizhi Wang
- State Key Laboratory of Analytical Chemistry for Life Science, School of Life Sciences, Nanjing University, Nanjing 210023, P. R. China
| | - Jie Yang
- State Key Laboratory of Analytical Chemistry for Life Science, School of Life Sciences, Nanjing University, Nanjing 210023, P. R. China
| | - Peng Miao
- Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou 215163, P. R. China
| | - Genxi Li
- State Key Laboratory of Analytical Chemistry for Life Science, School of Life Sciences, Nanjing University, Nanjing 210023, P. R. China
- Center for Molecular Recognition and Biosensing, School of Life Sciences, Shanghai University, Shanghai 200444, P. R. China
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8
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Zhang L, Wang H, Yang S, Liu J, Li J, Lu Y, Cheng J, Xu Y. High-Throughput and Integrated CRISPR/Cas12a-Based Molecular Diagnosis Using a Deep Learning Enabled Microfluidic System. ACS NANO 2024. [PMID: 39173188 DOI: 10.1021/acsnano.4c05734] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/24/2024]
Abstract
CRISPR/Cas-based molecular diagnosis demonstrates potent potential for sensitive and rapid pathogen detection, notably in SARS-CoV-2 diagnosis and mutation tracking. Yet, a major hurdle hindering widespread practical use is its restricted throughput, limited integration, and complex reagent preparation. Here, a system, microfluidic multiplate-based ultrahigh throughput analysis of SARS-CoV-2 variants of concern using CRISPR/Cas12a and nonextraction RT-LAMP (mutaSCAN), is proposed for rapid detection of SARS-CoV-2 and its variants with limited resource requirements. With the aid of the self-developed reagents and deep-learning enabled prototype device, our mutaSCAN system can detect SARS-CoV-2 in mock swab samples below 30 min as low as 250 copies/mL with the throughput up to 96 per round. Clinical specimens were tested with this system, the accuracy for routine and mutation testing (22 wildtype samples, 26 mutational samples) was 98% and 100%, respectively. No false-positive results were found for negative (n = 24) samples.
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Affiliation(s)
- Li Zhang
- School of Basic Medical Sciences, Tsinghua University, Beijing 100084, China
| | - Huili Wang
- School of Biomedical Engineering, Tsinghua University, Beijing 100084, China
| | - Sheng Yang
- School of Biomedical Engineering, Tsinghua University, Beijing 100084, China
| | - Jiajia Liu
- CapitalBiotech Technology, Beijing 101111, China
| | - Jie Li
- CapitalBiotech Technology, Beijing 101111, China
| | - Ying Lu
- School of Biomedical Engineering, Tsinghua University, Beijing 100084, China
- National Engineering Research Center for Beijing Biochip Technology, Beijing 102200, China
| | - Jing Cheng
- School of Biomedical Engineering, Tsinghua University, Beijing 100084, China
- National Engineering Research Center for Beijing Biochip Technology, Beijing 102200, China
| | - Youchun Xu
- School of Biomedical Engineering, Tsinghua University, Beijing 100084, China
- National Engineering Research Center for Beijing Biochip Technology, Beijing 102200, China
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9
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Innocenti G, Obara M, Costa B, Jacobsen H, Katzmarzyk M, Cicin-Sain L, Kalinke U, Galardini M. Real-time identification of epistatic interactions in SARS-CoV-2 from large genome collections. Genome Biol 2024; 25:228. [PMID: 39175058 PMCID: PMC11342480 DOI: 10.1186/s13059-024-03355-y] [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: 05/02/2024] [Accepted: 07/26/2024] [Indexed: 08/24/2024] Open
Abstract
BACKGROUND The emergence of the SARS-CoV-2 virus has highlighted the importance of genomic epidemiology in understanding the evolution of pathogens and guiding public health interventions. The Omicron variant in particular has underscored the role of epistasis in the evolution of lineages with both higher infectivity and immune escape, and therefore the necessity to update surveillance pipelines to detect them early on. RESULTS In this study, we apply a method based on mutual information between positions in a multiple sequence alignment, which is capable of scaling up to millions of samples. We show how it can reliably predict known experimentally validated epistatic interactions, even when using as little as 10,000 sequences, which opens the possibility of making it a near real-time prediction system. We test this possibility by modifying the method to account for the sample collection date and apply it retrospectively to multiple sequence alignments for each month between March 2020 and March 2023. We detected a cornerstone epistatic interaction in the Spike protein between codons 498 and 501 as soon as seven samples with a double mutation were present in the dataset, thus demonstrating the method's sensitivity. We test the ability of the method to make inferences about emerging interactions by testing candidates predicted after March 2023, which we validate experimentally. CONCLUSIONS We show how known epistatic interaction in SARS-CoV-2 can be detected with high sensitivity, and how emerging ones can be quickly prioritized for experimental validation, an approach that could be implemented downstream of pandemic genome sequencing efforts.
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Affiliation(s)
- Gabriel Innocenti
- Institute for Molecular Bacteriology, TWINCORE Centre for Experimental and Clinical Infection Research, a joint venture between the Hannover Medical School (MHH) and the Helmholtz Centre for Infection Research (HZI), Hannover, Germany
- Cluster of Excellence RESIST (EXC 2155), Hannover Medical School (MHH), Hannover, Germany
- Center for Cancer Research, Medical University of Vienna, Vienna, Austria
| | - Maureen Obara
- Institute for Experimental Infection Research, TWINCORE Centre for Experimental and Clinical Infection Research, a joint venture between the Hannover Medical School (MHH) and the Helmholtz Centre for Infection Research (HZI), Hannover, Germany
| | - Bibiana Costa
- Institute for Experimental Infection Research, TWINCORE Centre for Experimental and Clinical Infection Research, a joint venture between the Hannover Medical School (MHH) and the Helmholtz Centre for Infection Research (HZI), Hannover, Germany
| | - Henning Jacobsen
- Helmholtz Centre for Infection Research, Department of Viral Immunology (VIRI), Brunswick, Germany
- Centre for Individualized Infection Medicine (CiiM) a Joint Venture of Helmholtz Centre for Infection Research and Hannover Medical School, Hannover, Germany
| | - Maeva Katzmarzyk
- Helmholtz Centre for Infection Research, Department of Viral Immunology (VIRI), Brunswick, Germany
- Centre for Individualized Infection Medicine (CiiM) a Joint Venture of Helmholtz Centre for Infection Research and Hannover Medical School, Hannover, Germany
| | - Luka Cicin-Sain
- Helmholtz Centre for Infection Research, Department of Viral Immunology (VIRI), Brunswick, Germany
- Centre for Individualized Infection Medicine (CiiM) a Joint Venture of Helmholtz Centre for Infection Research and Hannover Medical School, Hannover, Germany
| | - Ulrich Kalinke
- Cluster of Excellence RESIST (EXC 2155), Hannover Medical School (MHH), Hannover, Germany
- Institute for Experimental Infection Research, TWINCORE Centre for Experimental and Clinical Infection Research, a joint venture between the Hannover Medical School (MHH) and the Helmholtz Centre for Infection Research (HZI), Hannover, Germany
| | - Marco Galardini
- Institute for Molecular Bacteriology, TWINCORE Centre for Experimental and Clinical Infection Research, a joint venture between the Hannover Medical School (MHH) and the Helmholtz Centre for Infection Research (HZI), Hannover, Germany.
- Cluster of Excellence RESIST (EXC 2155), Hannover Medical School (MHH), Hannover, Germany.
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10
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Su Y, Jin X, Yang F, Liu X, Li F, Zhao Q, Hou J, Zhang S, Li H, Huang G, Fu R. A compact microfluidic platform for rapid multiplex detection of respiratory viruses via centrifugal polar-absorbance spectroscopy. Talanta 2024; 280:126733. [PMID: 39173249 DOI: 10.1016/j.talanta.2024.126733] [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: 06/07/2024] [Revised: 08/16/2024] [Accepted: 08/17/2024] [Indexed: 08/24/2024]
Abstract
Nucleic acid detection technology has become a crucial tool in cutting-edge research within the life sciences and clinical diagnosis domains. Its significance is particularly highlighted during the respiratory virus pandemic, where nucleic acid testing plays a pivotal role in accurately detecting the virus. Isothermal amplification technologies have been developed and offer advantages such as rapidity, mild reaction conditions and excellent stability. Among these methods, recombinase polymerase amplification (RPA) has gained significant attention due to its simple primer design and resistance to multiple reaction inhibitors. However, the detection of RPA amplicons hinders the widespread adoption of this technology, leading to a research focus on cost-effective and convenient detection methods for RPA nucleic acid testing. In this study, we propose a novel computational absorption spectrum approach that utilizes the polar GelRed dye to efficiently detect RPA amplicons. By exploiting the asymmetry of GelRed molecules upon binding with DNA, polar electric dipoles are formed, leading to precipitate formation through centrifugal vibration and electrostatic interaction. The quantification of amplicon content is achieved by measuring the residual GelRed concentration in the supernatant. Our proposed portable and integrated microfluidic device successfully detected five respiratory virus genes simultaneously. The optimized linear detection was achieved and the sensitivity for all the targets reached 100 copies/μL. The total experiment could be finished in 27 min. The clinical experiments demonstrated the practicality and accuracy. This cost-effective and convenient detection scheme presents a promising biosensor for rapid virus detection, contributing to the advancement of RPA technology.
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Affiliation(s)
- Ya Su
- School of Medical Technology, Zhengzhou Academy of Intelligent Technology, Beijing Institute of Technology, Beijing, 100081, China; School of Biomedical Engineering, Tsinghua University, Beijing, 100084, China
| | - Xiangyu Jin
- School of Biomedical Engineering, Tsinghua University, Beijing, 100084, China
| | - Fan Yang
- Beijing Advanced Innovation Center for Intelligent Robots and Systems, School of Mechatronical Engineering, Beijing Institute of Technology, Beijing, 10081, China
| | - Xuekai Liu
- Clinical laboratory, Aerospace Center Hospital, Beijing, 100049, China
| | - Fenggang Li
- Beijing Advanced Innovation Center for Intelligent Robots and Systems, School of Mechatronical Engineering, Beijing Institute of Technology, Beijing, 10081, China
| | - Qingchen Zhao
- School of Medical Technology, Zhengzhou Academy of Intelligent Technology, Beijing Institute of Technology, Beijing, 100081, China
| | - Jialu Hou
- School of Medical Technology, Zhengzhou Academy of Intelligent Technology, Beijing Institute of Technology, Beijing, 100081, China
| | - Shuailong Zhang
- School of Integrated Circuits and Electronics, Beijing Institute of Technology, Beijing, 100081, China; Engineering Research Center of Integrated Acousto-opto-electronic Microsystems (Ministry of Education of China), Beijing Institute of Technology, Beijing, 100081, China; Chongqing Institute of Microelectronics and Microsystems, Beijing Institute of Technology, Chongqing, 400000, China
| | - Hang Li
- School of Medical Technology, Zhengzhou Academy of Intelligent Technology, Beijing Institute of Technology, Beijing, 100081, China; Engineering Research Center of Integrated Acousto-opto-electronic Microsystems (Ministry of Education of China), Beijing Institute of Technology, Beijing, 100081, China
| | - Guoliang Huang
- School of Biomedical Engineering, Tsinghua University, Beijing, 100084, China.
| | - Rongxin Fu
- School of Medical Technology, Zhengzhou Academy of Intelligent Technology, Beijing Institute of Technology, Beijing, 100081, China; Engineering Research Center of Integrated Acousto-opto-electronic Microsystems (Ministry of Education of China), Beijing Institute of Technology, Beijing, 100081, China; Chongqing Institute of Microelectronics and Microsystems, Beijing Institute of Technology, Chongqing, 400000, China.
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11
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Shempela DM, Muleya W, Mudenda S, Daka V, Sikalima J, Kamayani M, Sandala D, Chipango C, Muzala K, Musonda K, Chizimu JY, Mulenga C, Kapona O, Kwenda G, Kasanga M, Njuguna M, Cham F, Simwaka B, Morrison L, Muma JB, Saasa N, Sichinga K, Simulundu E, Chilengi R. Wastewater Surveillance of SARS-CoV-2 in Zambia: An Early Warning Tool. Int J Mol Sci 2024; 25:8839. [PMID: 39201525 DOI: 10.3390/ijms25168839] [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: 06/24/2024] [Revised: 08/10/2024] [Accepted: 08/12/2024] [Indexed: 09/02/2024] Open
Abstract
Wastewater-based surveillance has emerged as an important method for monitoring the Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2). This study investigated the presence of SARS-CoV-2 in wastewater in Zambia. We conducted a longitudinal study in the Copperbelt and Eastern provinces of Zambia from October 2023 to December 2023 during which 155 wastewater samples were collected. The samples were subjected to three different concentration methods, namely bag-mediated filtration, skimmed milk flocculation, and polythene glycol-based concentration assays. Molecular detection of SARS-CoV-2 nucleic acid was conducted using real-time Polymerase Chain Reaction (PCR). Whole genome sequencing was conducted using Illumina COVIDSEQ assay. Of the 155 wastewater samples, 62 (40%) tested positive for SARS-CoV-2. Of these, 13 sequences of sufficient length to determine SARS-CoV-2 lineages were obtained and 2 sequences were phylogenetically analyzed. Various Omicron subvariants were detected in wastewater including BA.5, XBB.1.45, BA.2.86, and JN.1. Some of these subvariants have been detected in clinical cases in Zambia. Interestingly, phylogenetic analysis positioned a sequence from the Copperbelt Province in the B.1.1.529 clade, suggesting that earlier Omicron variants detected in late 2021 could still be circulating and may not have been wholly replaced by newer subvariants. This study stresses the need for integrating wastewater surveillance of SARS-CoV-2 into mainstream strategies for monitoring SARS-CoV-2 circulation in Zambia.
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Affiliation(s)
| | - Walter Muleya
- Department of Biomedical Sciences, School of Veterinary Medicine, University of Zambia, Lusaka 10101, Zambia
| | - Steward Mudenda
- Department of Pharmacy, School of Health Sciences, University of Zambia, Lusaka 10101, Zambia
| | - Victor Daka
- Public Health Department, Michael Chilufya Sata School of Medicine, Copperbelt University, Ndola 21692, Zambia
| | - Jay Sikalima
- Churches Health Association of Zambia, Lusaka 10101, Zambia
| | | | | | | | - Kapina Muzala
- Zambia National Public Health Institute, Ministry of Health, Lusaka 10101, Zambia
| | - Kunda Musonda
- Zambia National Public Health Institute, Ministry of Health, Lusaka 10101, Zambia
| | | | - Chilufya Mulenga
- Zambia National Public Health Institute, Ministry of Health, Lusaka 10101, Zambia
| | - Otridah Kapona
- Zambia National Public Health Institute, Ministry of Health, Lusaka 10101, Zambia
| | - Geoffrey Kwenda
- Department of Biomedical Sciences, School of Health Sciences, University of Zambia, Lusaka 10101, Zambia
| | - Maisa Kasanga
- Department of Epidemiology and Biostatistics, School of Public Health, Zhengzhou University, Zhengzhou 450001, China
| | - Michael Njuguna
- Global Fund to Fight AIDS, Tuberculosis and Malaria (GFATM), 1201 Geneva, Switzerland
| | - Fatim Cham
- Global Fund to Fight AIDS, Tuberculosis and Malaria (GFATM), 1201 Geneva, Switzerland
| | - Bertha Simwaka
- Global Fund to Fight AIDS, Tuberculosis and Malaria (GFATM), 1201 Geneva, Switzerland
| | - Linden Morrison
- Global Fund to Fight AIDS, Tuberculosis and Malaria (GFATM), 1201 Geneva, Switzerland
| | - John Bwalya Muma
- Department of Disease Control, School of Veterinary Medicine, University of Zambia, Lusaka 10101, Zambia
| | - Ngonda Saasa
- Department of Disease Control, School of Veterinary Medicine, University of Zambia, Lusaka 10101, Zambia
| | - Karen Sichinga
- Churches Health Association of Zambia, Lusaka 10101, Zambia
| | | | - Roma Chilengi
- Zambia National Public Health Institute, Ministry of Health, Lusaka 10101, Zambia
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12
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Mahdood B, Merajikhah A, Mirzaiee M, Bastami M, Banoueizadeh S. Virus and viral components transmitted through surgical smoke; a silent danger in operating room: a systematic review. BMC Surg 2024; 24:227. [PMID: 39123160 PMCID: PMC11312259 DOI: 10.1186/s12893-024-02514-z] [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: 12/05/2023] [Accepted: 07/29/2024] [Indexed: 08/12/2024] Open
Abstract
BACKGROUND During surgical procedures, heat-generating devices are widely used producing surgical smoke (SS). Since the SS can transmit infectious viruses, this systematic review was designed to investigate the potential viruses transmitted through SS. METHODS PubMed, Scopus, Web of Science, ProQuest, and Embase databases, along with Cochran Library, and Google Scholar search engine were searched systematically (by April 21, 2024). No language, place, and time restrictions were considered. All studies evaluating the SS and virus transmission, and whole investigations regarding the viral infections transmitted through SS were totally considered inclusion criteria. Besides, non-original, qualitative, case reports, case series, letters to the editor, editorial, and review studies were excluded from the analysis. This study was conducted in accordance with the PRISMA 2020 statement. RESULTS Twenty-six eligible studies were selected and reviewed for data extraction. The results showed that the SS contains virus and associated components. Six types of viruses or viral components were identified in SS including papillomavirus (HPV, BPV), Human Immunodeficiency Virus (HIV), varicella zoster, Hepatitis B (HBV), SARS-CoV-2, and Oral poliovirus (OPV), which are spread to surgical team through smoke-producing devices. CONCLUSIONS Since the studies confirm the presence of viruses, and viral components in SS, the potential risk to the healthcare workers, especially in operating room (OR), seems possible. Thus, the adoption of protective strategies against SS is critical. Despite the use of personal protective equipment (PPE), these viruses could affect OR personnel in surgical procedures.
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Affiliation(s)
- Bahareh Mahdood
- Department of Operating Room, Faculty Member of Paramedical School, Jahrom University of Medical Sciences, Jahrom, Iran
| | | | - Mina Mirzaiee
- Department of Operating Room, School of Paramedical Science, Hamadan University of Medical Sciences, Hamadan, Iran
| | - Maryam Bastami
- Department of Operating Room, School of Allied Medical Sciences, Ilam University of Medical Sciences, Ilam, Iran
| | - Sara Banoueizadeh
- Department of Operating Room, School of Paramedical Science, Hamadan University of Medical Sciences, Hamadan, Iran
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13
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Hong SA. Toward better pandemic governance and preparedness: South Korea's whole-of-nation approach to COVID-19. BMC Public Health 2024; 24:2126. [PMID: 39107756 PMCID: PMC11302091 DOI: 10.1186/s12889-024-19655-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2023] [Accepted: 07/30/2024] [Indexed: 08/10/2024] Open
Abstract
BACKGROUND The profound impact of coronavirus disease (COVID-19) has led to an increased demand for sustainable pandemic governance practices. This study explored emerging hybrid governance practices that provide robust evidence on how to address the complex challenges of pandemics effectively. South Korea, which was severely affected by COVID-19, has implemented a novel governance approach using a whole-of-nation (WoN) model. This hybrid pandemic governance approach, which integrates both whole-of-government and whole-of-society approaches, has enabled synergistic and cohesive multi-sectoral coordination among all stakeholders (public authorities, private enterprises, and civil society) to address multifaceted challenges collectively and strengthen their resilience capacity. This study investigated South Korea's WoN practices and their embedded context and identified key governance enablers facilitating this approach. METHODS This study employed a case study design based on an extensive analysis of policy and program documents, drawing on South Korea's publicly available data from January 1, 2020 to March 30, 2023. It assessed six system-level collaborative pandemic governance practices and key enablers, all of which were intended to fortify the country's pandemic response. RESULTS The primary areas of the country's WoN governance practices for COVID-19 control were (i) whole-of-government policy-making and response, (ii) COVID-19 testing system, (iii) digital surveillance of COVID-19, (iv) COVID-19 triage and treatment system, (v) domestic vaccine production, and (vi) community engagement. Key governance enablers for implementing the WoN model were establishing a legal foundation, ensuring decisive and strong governance and leadership, increasing public investment, applying a whole-of-health approach with augmented investment in public health, enhancing crisis communication, and mobilizing local leaders and civil society organizations in the national public health response. CONCLUSIONS In exploring innovative approaches to pandemic governance for increased efficacy, responsiveness, and impact, the WoN approach emerged as highly relevant. This example of emerging practice allows policy-makers to re-evaluate their governance strategies and initiatives to improve multi-agency partnerships across the country in their pandemic-preparedness planning.
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Affiliation(s)
- Shin Ae Hong
- Crisis, Disaster and Risk Management, College of Natural Science, Sungkyunkwan University, Seoul, South Korea.
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14
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Shahbazi E, Moradi A, Mollasalehi H, Mohebbi SR. Unravelling the diagnostic methodologies for SARS-CoV-2; the Indispensable need for developing point-of-care testing. Talanta 2024; 275:126139. [PMID: 38696900 DOI: 10.1016/j.talanta.2024.126139] [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: 01/10/2024] [Revised: 04/13/2024] [Accepted: 04/20/2024] [Indexed: 05/04/2024]
Abstract
The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)-caused COVID-19 pandemic that continues to be a global menace and since its emergence in the late 2019, SARS-CoV-2 has been vigorously spreading throughout the globe putting the whole world into a multidimensional calamity. The suitable diagnosis strategies are on the front line of the battle against preventing the spread of infections. Since the clinical manifestation of COVID-19 is shared between various diseases, detection of the unique impacts of the pathogen on the host along with the diagnosis of the virus itself should be addressed. Employing the most suitable approaches to specifically, sensitively and effectively recognize the infected cases may be a real game changer in controlling the outbreak and the crisis management. In that matter, point-of-care assays (POC) appears to be the potential option, due to sensitivity, specificity, affordable, and availability. Here we brief the most recent findings about the virus, its variants, and the conventional methods that have been used for its detection, along with the POC strategies that have been applied to the virus diagnosis and the developing technologies which can accelerate the diagnosis procedure yet maintain its efficiency.
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Affiliation(s)
- Erfan Shahbazi
- Department of Microbiology and Microbial Biotechnology, Faculty of Life Sciences and Biotechnology, Shahid Beheshti University, Tehran, Iran
| | - Asma Moradi
- Department of Microbiology and Microbial Biotechnology, Faculty of Life Sciences and Biotechnology, Shahid Beheshti University, Tehran, Iran
| | - Hamidreza Mollasalehi
- Department of Microbiology and Microbial Biotechnology, Faculty of Life Sciences and Biotechnology, Shahid Beheshti University, Tehran, Iran.
| | - Seyed Reza Mohebbi
- Gastroenterology and Liver Diseases Research Center, Research Institute for Gastroenterology and Liver Diseases, Shahid Beheshti University of Medical Sciences, Tehran, Iran
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15
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Lopes TRR, Silva Júnior JVJ, Trindade PDA, Gregianini TS, Weiblen R, Flores EF. An end-point multiplex RT-PCR for SARS-CoV-2, Influenza A and B detection, including simultaneous RNAse P amplification: a timely tool for more accessible differential diagnosis. J Med Microbiol 2024; 73. [PMID: 39140993 DOI: 10.1099/jmm.0.001868] [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] [Indexed: 08/15/2024] Open
Abstract
The multiplex molecular diagnostic assays described for severe acute respiratory syndrome-related coronavirus 2 (SARS-CoV-2), influenza A (IAV) and B (IBV) viruses have been mainly based on real-time reaction, which limits their access to many laboratories or diagnostic institutions. To contribute to available strategies and expand access to differential diagnosis, we describe an end-point multiplex RT-PCR targeting SARS-CoV-2, IAV and IBV with simultaneous endogenous control amplification. Initially, we looked for well-established primers sets for SARS-CoV-2, IAV, IBV and RNAse P whose amplicons could be distinguished on agarose gel. The multiplex assay was then standardized by optimizing the reaction mix and cycle conditions. The limit of detection (LoD) was determined using titrated viruses (for SARS-CoV-2 and IAV) and by dilution from a pool of IBV-positive samples. The diagnostic performance of the multiplex was evaluated by testing samples with different RNAse P and viral loads, previously identified as positive or negative for the target viruses. The amplicons of IAV (146 bp), SARS-CoV-2 (113 bp), IBV (103 bp) and RNAse P (65 bp) were adequately distinguished in our multiplex. The LoD for SARS-CoV-2, IAV and IBV was 0.02 TCID50/ml, 0.07 TCID50/ml and 10-3 from a pool of positive samples, respectively. All samples positive for SARS-CoV-2 (n=70, Ct 17.2-36.9), IAV (n=53, Ct 14-34.9) and IBV (n=12, Ct 23.9-31.9) remained positive in our multiplex assay. RNAse P from negative samples (n=40, Ct 25.2-30.2) was also amplified in the multiplex. Overall, our assay is a timely and alternative tool for detecting SARS-CoV-2 and influenza viruses in laboratories with limited access to supplies/equipment.
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Affiliation(s)
- Thaísa Regina Rocha Lopes
- Programa de Pós-graduação em Medicina Veterinária, Universidade Federal de Santa Maria, Rio Grande do Sul, Brazil
- Setor de Virologia, Departamento de Medicina Veterinária Preventiva, Universidade Federal de Santa Maria, Rio Grande do Sul, Brazil
| | - José Valter Joaquim Silva Júnior
- Setor de Virologia, Departamento de Medicina Veterinária Preventiva, Universidade Federal de Santa Maria, Rio Grande do Sul, Brazil
- Setor de Virologia, Instituto Keizo Asami, Universidade Federal de Pernambuco, Pernambuco, Brazil
- Laboratório NB3 de Neuroimunologia, Universidade Federal de Santa Maria, Rio Grande do Sul, Brazil
- Departamento de Microbiologia e Parasitologia, Universidade Federal de Santa Maria, Rio Grande do Sul, Brazil
| | - Priscila de Arruda Trindade
- Laboratório de Biologia Molecular e Bioinformática Aplicada à Microbiologia Clínica, Universidade Federal de Santa Maria, Rio Grande do Sul, Brazil
| | - Tatiana Schäffer Gregianini
- Laboratório Central de Saúde, Centro Estadual de Vigilância em Saúde da Secretaria de Saúde do estado do Rio Grande do Sul, Rio Grande do Sul, Brazil
| | - Rudi Weiblen
- Setor de Virologia, Departamento de Medicina Veterinária Preventiva, Universidade Federal de Santa Maria, Rio Grande do Sul, Brazil
| | - Eduardo Furtado Flores
- Setor de Virologia, Departamento de Medicina Veterinária Preventiva, Universidade Federal de Santa Maria, Rio Grande do Sul, Brazil
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Keita AK, Mbaye A, Soumah AK, Kadio KJJO, Diallo H, Gnimadi TAC, Koivogui JB, Povogui MK, Monemou JL, Traore B, Vidal N, Guichet E, Ayouba A, Delaporte E, Peeters M, Toure A, Keita AK. Use of strips of rapid diagnostic tests as a source of ribonucleic acid for genomic surveillance of viruses: an example of SARS-CoV-2. Virol J 2024; 21:171. [PMID: 39090721 PMCID: PMC11295317 DOI: 10.1186/s12985-024-02442-7] [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: 03/04/2024] [Accepted: 07/22/2024] [Indexed: 08/04/2024] Open
Abstract
BACKGROUND This study aimed to demonstrate that the genomic material of SARS-CoV-2 can be isolated from strips of COVID-19 rapid diagnostic test cassettes. METHOD It was a prospective cross-sectional study involving patients admitted to treatment centers and sampling sites in the city of Conakry, Guinea. A total of 121 patients were double sampled, and 9 more patients were tested only for RDT. PCR was conducted according to the protocol of the RunMei kit. Sequencing was performed by using the illumina COVIDSeq protocol. Nine COVID-19 RDTs without nasopharyngeal swabs were in addition tested. RESULT Among the 130 COVID-19 RDTs, forty-seven were macroscopically positive, whereas seventy-two were positive according to PCR using RDT strip, while among the 121 VTM swabs, sixty-four were positive. Among eighty-three negative COVID-19 RDTs, twenty-seven were positive by PCR using RDT strip with a geometric mean Ct value of 32.49 cycles. Compared to those of PCR using VTM, the sensitivity and specificity of PCR using RDT strip were estimated to be 100% and 85.96%, respectively, with 93.39% test accuracy. Among the fifteen COVID-19 RDT extracts eligible for sequencing, eleven had sequences identical to those obtained via the standard method, with coverage between 75 and 99.6%. CONCLUSION These results show that COVID-19 RDTs can be used as biological material for the genomic surveillance of SARS-CoV-2.
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Affiliation(s)
- Alpha Kabiné Keita
- Centre de Recherche et de Formation en Infectiologie de Guinée (CERFIG), Université Gamal Abder Nasser de Conakry, Conakry, Guinea
| | - Aminata Mbaye
- Centre de Recherche et de Formation en Infectiologie de Guinée (CERFIG), Université Gamal Abder Nasser de Conakry, Conakry, Guinea.
| | - Abdoul Karim Soumah
- Centre de Recherche et de Formation en Infectiologie de Guinée (CERFIG), Université Gamal Abder Nasser de Conakry, Conakry, Guinea
| | - Kadio Jean Jacques Olivier Kadio
- Centre de Recherche et de Formation en Infectiologie de Guinée (CERFIG), Université Gamal Abder Nasser de Conakry, Conakry, Guinea
| | - Haby Diallo
- Centre de Recherche et de Formation en Infectiologie de Guinée (CERFIG), Université Gamal Abder Nasser de Conakry, Conakry, Guinea
| | - Thibaut Armel Chérif Gnimadi
- Centre de Recherche et de Formation en Infectiologie de Guinée (CERFIG), Université Gamal Abder Nasser de Conakry, Conakry, Guinea
| | - Joel Balla Koivogui
- Centre de Recherche et de Formation en Infectiologie de Guinée (CERFIG), Université Gamal Abder Nasser de Conakry, Conakry, Guinea
| | - Moriba Kowa Povogui
- Centre de Recherche et de Formation en Infectiologie de Guinée (CERFIG), Université Gamal Abder Nasser de Conakry, Conakry, Guinea
| | - Jean Louis Monemou
- Centre de Recherche et de Formation en Infectiologie de Guinée (CERFIG), Université Gamal Abder Nasser de Conakry, Conakry, Guinea
| | - Baba Traore
- Centre de Recherche et de Formation en Infectiologie de Guinée (CERFIG), Université Gamal Abder Nasser de Conakry, Conakry, Guinea
| | - Nicole Vidal
- Institut de Recherche pour le Développement (IRD), INSERM, TransVIHMI, University of Montpellier, Montpellier, France
| | - Emilande Guichet
- Institut de Recherche pour le Développement (IRD), INSERM, TransVIHMI, University of Montpellier, Montpellier, France
| | - Ahidjo Ayouba
- Centre de Recherche et de Formation en Infectiologie de Guinée (CERFIG), Université Gamal Abder Nasser de Conakry, Conakry, Guinea
- Institut de Recherche pour le Développement (IRD), INSERM, TransVIHMI, University of Montpellier, Montpellier, France
| | - Eric Delaporte
- Institut de Recherche pour le Développement (IRD), INSERM, TransVIHMI, University of Montpellier, Montpellier, France
| | - Martine Peeters
- Institut de Recherche pour le Développement (IRD), INSERM, TransVIHMI, University of Montpellier, Montpellier, France
| | - Abdoulaye Toure
- Centre de Recherche et de Formation en Infectiologie de Guinée (CERFIG), Université Gamal Abder Nasser de Conakry, Conakry, Guinea
| | - Alpha Kabinet Keita
- Centre de Recherche et de Formation en Infectiologie de Guinée (CERFIG), Université Gamal Abder Nasser de Conakry, Conakry, Guinea
- Institut de Recherche pour le Développement (IRD), INSERM, TransVIHMI, University of Montpellier, Montpellier, France
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17
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Liu J, Hao Q, Li B, Zhang R, Luo G, Sun D. Prevalence and influencing factors of sleep disorders in medical students after the COVID-19 pandemic. BMC Psychiatry 2024; 24:538. [PMID: 39080631 PMCID: PMC11290009 DOI: 10.1186/s12888-024-05980-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/31/2024] [Accepted: 07/23/2024] [Indexed: 08/02/2024] Open
Abstract
BACKGROUND The prevalence of sleep disorders among medical students was high during the COVID-19 pandemic. However, fewer studies have been conducted on sleep disorders among medical students after the COVID-19 pandemic. This study investigated the prevalence and factors influencing sleep disorders among Chinese medical students after COVID-19. METHODS A total of 1,194 Chinese medical students were included in this study from 9th to 12th July 2023. We used the Self-administered Chinese scale to collect the demographic characteristics. In addition, we used the Chinese versions of the Self-rating Depression Scale (SDS), the Self-rating Anxiety Scale (SAS), and the Pittsburgh Sleep Quality Index (PSQI) to assess subjects' depression, anxiety, and sleep disorders, respectively. The chi-square test and binary logistic regression were used to identify factors influencing sleep disorders. The receiver operating characteristic (ROC) curve was utilized to assess the predictive value of relevant variables for sleep disorders. RESULTS We found the prevalence of sleep disorders among medical students after COVID-19 was 82.3%. According to logistic regression results, medical students with depression were 1.151 times more likely to have sleep disorders than those without depression (OR = 1.151, 95% CI 1.114 to 1.188). Doctoral students were 1.908 times more likely to have sleep disorders than graduate and undergraduate students (OR = 1.908, 95% CI 1.264 to 2.880). CONCLUSION The prevalence of sleep disorders among medical students is high after COVID-19. In addition, high academic levels and depression are risk factors for sleep disorders. Therefore, medical colleges and administrators should pay more attention to sleep disorders in medical students after the COVID-19 pandemic. Regular assessment of sleep disorders and depression is essential.
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Affiliation(s)
- Jiao Liu
- Laboratory of Biological Psychiatry, Institute of Mental Health, Tianjin Anding Hospital, Mental Health Center of Tianjin Medical University, 13 Liulin Road, Tianjin, 300222, China
| | - Qingling Hao
- University College Dublin, Belfield, Dublin 4, D04 V1W8, Ireland
| | - Baozhu Li
- Laboratory of Biological Psychiatry, Institute of Mental Health, Tianjin Anding Hospital, Mental Health Center of Tianjin Medical University, 13 Liulin Road, Tianjin, 300222, China
| | - Ran Zhang
- Laboratory of Biological Psychiatry, Institute of Mental Health, Tianjin Anding Hospital, Mental Health Center of Tianjin Medical University, 13 Liulin Road, Tianjin, 300222, China
| | - Guoshuai Luo
- Laboratory of Biological Psychiatry, Institute of Mental Health, Tianjin Anding Hospital, Mental Health Center of Tianjin Medical University, 13 Liulin Road, Tianjin, 300222, China.
| | - Daliang Sun
- Laboratory of Biological Psychiatry, Institute of Mental Health, Tianjin Anding Hospital, Mental Health Center of Tianjin Medical University, 13 Liulin Road, Tianjin, 300222, China.
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18
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Trebuian CI, Popa D, Buleu F, Sutoi D, Williams CG, Crintea IN, Chioibas RD, Iancu A, Ciolac L, Mederle OA. COVID-19 Related Acute Respiratory Distress Syndrome versus Classical Acute Respiratory Distress Syndrome Patients: Inflammatory Biomarkers as Predictors of Mortality in Pulmonary Septic Shock. Int J Gen Med 2024; 17:3337-3347. [PMID: 39100723 PMCID: PMC11296509 DOI: 10.2147/ijgm.s464892] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2024] [Accepted: 07/09/2024] [Indexed: 08/06/2024] Open
Abstract
Introduction and Objectives Coronavirus disease-2019 (COVID-19)-related severe acute respiratory distress syndrome (ARDS) differs pathophysiological from other pulmonary septic shock-related ARDS. Thus, we assessed whether all-cause in-hospital mortality differs for severe COVID-19-related and classical severe ARDS and which inflammatory biomarkers can predict mortality among these patients. Material and Methods This single-center, retrospective, observational cohort study included pulmonary septic shock patients (n = 114) with COVID-19-related and classical severe ARDS admitted in the Intensive Care Unit. Results Patients with a mean age of 73 (IQR 62-82), predominantly male (63%), were divided into two groups based on outcomes: survivors (n = 50) and non-survivors (n = 64). COVID-19-related severe ARDS (n = 48) accounts for 75% of deaths. Present comorbidities like heart disease (p = 0.043), neurologic disorders (p = 0.018), and liver disease (p = 0.038) were associated with in-hospital mortality, as well. Regarding inflammatory biomarkers, the AUC/c-statistic was 0.656 (95% CI: 0.53-0.759) for leukocytes, 0.613 (95% CI: 0.509-0.717) C-reactive protein (CRP) and 0.651 (95% CI: 0.548-0.753) for procalcitonin in predicting all-cause in-hospital mortality among patients with pulmonary septic shock and severe ARDS. Conclusion Patients with pulmonary septic shock and with COVID-19-related severe ARDS had a higher incidence of in-hospital mortality than those with classical severe ARDS. The high value of leukocytes, C-reactive protein, and procalcitonin were predictive for all-cause in-hospital mortality in patients with pulmonary septic shock and ARDS. Infection with COVID-19 was an independent predictor of in-hospital mortality in the presence of ARDS.
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Affiliation(s)
- Cosmin Iosif Trebuian
- Department of Surgery I, “victor Babes” University of Medicine and Pharmacy, Timișoara, Romania
- Emergency County Hospital, Reșita, Romania
| | - Daian Popa
- Emergency Clinical Municipal Hospital, Timisoara, Romania
- “victor Babes” University of Medicine and Pharmacy, Timisoara, Romania
| | - Florina Buleu
- Emergency County Hospital “pius Brinzeu”, Timișoara, Romania
- Department of Cardiology “Victor Babes” University of Medicine and Pharmacy, Timisoara, Romania
| | - Dumitru Sutoi
- Department of Surgery I, “victor Babes” University of Medicine and Pharmacy, Timișoara, Romania
- Emergency County Hospital “pius Brinzeu”, Timișoara, Romania
| | | | - Iulia Najette Crintea
- Department of Surgery I, “victor Babes” University of Medicine and Pharmacy, Timișoara, Romania
- Emergency Clinical Municipal Hospital, Timisoara, Romania
| | - Raul Daniel Chioibas
- Department of Surgery I, “victor Babes” University of Medicine and Pharmacy, Timișoara, Romania
| | - Aida Iancu
- Department of Radiology “Victor Babes” University of Medicine and Pharmacy, Timisoara, Romania
| | - Livia Ciolac
- Clinic of Obstetrics and Gynecology, ”pius Brinzeu” County Clinical Emergency Hospital, Timisoara, Romania
| | - Ovidiu Alexandru Mederle
- Department of Surgery I, “victor Babes” University of Medicine and Pharmacy, Timișoara, Romania
- Emergency Clinical Municipal Hospital, Timisoara, Romania
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19
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Ding L, Liu N. Rolling on the Chip: SARS-CoV-2 Detection by DNA Motors. ACS CENTRAL SCIENCE 2024; 10:1311-1313. [PMID: 39071062 PMCID: PMC11273450 DOI: 10.1021/acscentsci.4c00940] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 07/30/2024]
Affiliation(s)
- Longjiang Ding
- 2. Physics Institute,
University of Stuttgart, Pfaffenwaldring 57, 70569 Stuttgart, Germany
- Max
Planck Institute for Solid State Research, Heisenbergstraße 1, 70569, Stuttgart, Germany
| | - Na Liu
- 2. Physics Institute,
University of Stuttgart, Pfaffenwaldring 57, 70569 Stuttgart, Germany
- Max
Planck Institute for Solid State Research, Heisenbergstraße 1, 70569, Stuttgart, Germany
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20
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Mattar SB, Celedon PAF, Leony LM, Vasconcelos LDCM, Sampaio DD, Marchini FK, Morello LG, Lin VH, Crestani S, Camelier AA, Meireles AC, de Oliveira Junior ALF, Bandeira AC, Macedo YSF, Duarte AO, Pavan TBS, de Siqueira IC, Santos FLN. Comprehensive Study of the IBMP ELISA IgA/IgM/IgG COVID-19 Kit for SARS-CoV-2 Antibody Detection. Diagnostics (Basel) 2024; 14:1514. [PMID: 39061652 PMCID: PMC11276192 DOI: 10.3390/diagnostics14141514] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2024] [Revised: 07/03/2024] [Accepted: 07/10/2024] [Indexed: 07/28/2024] Open
Abstract
COVID-19 laboratory diagnosis primarily relies on molecular tests, highly sensitive during early infection stages with high viral loads. As the disease progresses, sensitivity decreases, requiring antibody detection. Since the beginning of the pandemic, serological tests have been developed and made available in Brazil, but their diagnostic performance varies. This study evaluated the IBMP ELISA IgA/IgM/IgG COVID-19 kit performance in detecting SARS-CoV-2 antibodies. A total of 90 samples, including 64 from COVID-19 patients and 26 pre-pandemic donors, were assessed based on time post symptom onset (0-7, 8-14, and 15-21 days). The kit showed 61% sensitivity, 100% specificity, and 72% accuracy overall. Sensitivity varied with time, being 25%, 57%, and 96% for 0-7, 8-14, and 15-21 days, respectively. Similar variations were noted in other commercial tests. The Gold ELISA COVID-19 (IgG/IgM) had sensitivities of 31%, 71%, and 100%, while the Anti-SARS-CoV-2 NCP ELISA (IgG) and Anti-SARS-CoV-2 NCP ELISA (IgM) showed varying sensitivities. The IBMP ELISA kit displayed high diagnostic capability, especially as the disease progressed, complementing COVID-19 diagnosis. Reproducibility assessment revealed minimal systematic and analytical errors. In conclusion, the IBMP ELISA IgA/IgM/IgG COVID-19 kit is a robust tool for detecting anti-SARS-CoV-2 antibodies, increasing in efficacy over the disease course, and minimizing false negatives in RT-PCR COVID-19 diagnosis.
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Affiliation(s)
- Sibelle Botogosque Mattar
- Molecular Biology Institute of Paraná (IBMP), Curitiba 81350-010, PR, Brazil; (S.B.M.); (P.A.F.C.); (F.K.M.); (L.G.M.); (V.H.L.); (S.C.)
| | - Paola Alejandra Fiorani Celedon
- Molecular Biology Institute of Paraná (IBMP), Curitiba 81350-010, PR, Brazil; (S.B.M.); (P.A.F.C.); (F.K.M.); (L.G.M.); (V.H.L.); (S.C.)
- Interdisciplinary Research Group in Biotechnology and Epidemiology of Infectious Diseases (GRUPIBE), Gonçalo Moniz Institute, Oswaldo Cruz Foundation-Bahia (FIOCRUZ-BA), Salvador 402596-710, BA, Brazil; (L.M.L.); (L.d.C.M.V.); (D.D.S.); (T.B.S.P.); (I.C.d.S.)
| | - Leonardo Maia Leony
- Interdisciplinary Research Group in Biotechnology and Epidemiology of Infectious Diseases (GRUPIBE), Gonçalo Moniz Institute, Oswaldo Cruz Foundation-Bahia (FIOCRUZ-BA), Salvador 402596-710, BA, Brazil; (L.M.L.); (L.d.C.M.V.); (D.D.S.); (T.B.S.P.); (I.C.d.S.)
- Advanced Public Health Laboratory, Gonçalo Moniz Institute, Oswaldo Cruz Foundation-Bahia (FIOCRUZ-BA), Salvador 402596-710, BA, Brazil
| | - Larissa de Carvalho Medrado Vasconcelos
- Interdisciplinary Research Group in Biotechnology and Epidemiology of Infectious Diseases (GRUPIBE), Gonçalo Moniz Institute, Oswaldo Cruz Foundation-Bahia (FIOCRUZ-BA), Salvador 402596-710, BA, Brazil; (L.M.L.); (L.d.C.M.V.); (D.D.S.); (T.B.S.P.); (I.C.d.S.)
- Advanced Public Health Laboratory, Gonçalo Moniz Institute, Oswaldo Cruz Foundation-Bahia (FIOCRUZ-BA), Salvador 402596-710, BA, Brazil
| | - Daniel Dias Sampaio
- Interdisciplinary Research Group in Biotechnology and Epidemiology of Infectious Diseases (GRUPIBE), Gonçalo Moniz Institute, Oswaldo Cruz Foundation-Bahia (FIOCRUZ-BA), Salvador 402596-710, BA, Brazil; (L.M.L.); (L.d.C.M.V.); (D.D.S.); (T.B.S.P.); (I.C.d.S.)
| | - Fabricio Klerynton Marchini
- Molecular Biology Institute of Paraná (IBMP), Curitiba 81350-010, PR, Brazil; (S.B.M.); (P.A.F.C.); (F.K.M.); (L.G.M.); (V.H.L.); (S.C.)
- Laboratory for Applied Science and Technology in Health, Carlos Chagas Institute, Oswaldo Cruz Foundation-Paraná (FIOCRUZ-PR), Curitiba 81350-010, PR, Brazil
| | - Luis Gustavo Morello
- Molecular Biology Institute of Paraná (IBMP), Curitiba 81350-010, PR, Brazil; (S.B.M.); (P.A.F.C.); (F.K.M.); (L.G.M.); (V.H.L.); (S.C.)
- Laboratory for Applied Science and Technology in Health, Carlos Chagas Institute, Oswaldo Cruz Foundation-Paraná (FIOCRUZ-PR), Curitiba 81350-010, PR, Brazil
| | - Vanessa Hoysan Lin
- Molecular Biology Institute of Paraná (IBMP), Curitiba 81350-010, PR, Brazil; (S.B.M.); (P.A.F.C.); (F.K.M.); (L.G.M.); (V.H.L.); (S.C.)
| | - Sandra Crestani
- Molecular Biology Institute of Paraná (IBMP), Curitiba 81350-010, PR, Brazil; (S.B.M.); (P.A.F.C.); (F.K.M.); (L.G.M.); (V.H.L.); (S.C.)
| | | | - André Costa Meireles
- Aliança D’Or Hospital, Salvador 41920-180, BA, Brazil; (A.A.C.); (A.C.M.); (A.L.F.d.O.J.)
| | | | | | - Yasmin Santos Freitas Macedo
- Laboratory of Investigation in Global Health and Neglected Diseases, Gonçalo Moniz Institute, Oswaldo Cruz Foundation-Bahia (FIOCRUZ-BA), Salvador 402596-710, BA, Brazil; (Y.S.F.M.); (A.O.D.)
| | - Alan Oliveira Duarte
- Laboratory of Investigation in Global Health and Neglected Diseases, Gonçalo Moniz Institute, Oswaldo Cruz Foundation-Bahia (FIOCRUZ-BA), Salvador 402596-710, BA, Brazil; (Y.S.F.M.); (A.O.D.)
| | - Tycha Bianca Sabaini Pavan
- Interdisciplinary Research Group in Biotechnology and Epidemiology of Infectious Diseases (GRUPIBE), Gonçalo Moniz Institute, Oswaldo Cruz Foundation-Bahia (FIOCRUZ-BA), Salvador 402596-710, BA, Brazil; (L.M.L.); (L.d.C.M.V.); (D.D.S.); (T.B.S.P.); (I.C.d.S.)
- Advanced Public Health Laboratory, Gonçalo Moniz Institute, Oswaldo Cruz Foundation-Bahia (FIOCRUZ-BA), Salvador 402596-710, BA, Brazil
| | - Isadora Cristina de Siqueira
- Interdisciplinary Research Group in Biotechnology and Epidemiology of Infectious Diseases (GRUPIBE), Gonçalo Moniz Institute, Oswaldo Cruz Foundation-Bahia (FIOCRUZ-BA), Salvador 402596-710, BA, Brazil; (L.M.L.); (L.d.C.M.V.); (D.D.S.); (T.B.S.P.); (I.C.d.S.)
- Laboratory of Investigation in Global Health and Neglected Diseases, Gonçalo Moniz Institute, Oswaldo Cruz Foundation-Bahia (FIOCRUZ-BA), Salvador 402596-710, BA, Brazil; (Y.S.F.M.); (A.O.D.)
- Integrated Translational Program in Chagas Disease from FIOCRUZ (Fio-Chagas), Oswaldo Cruz Foundation-Rio de Janeiro (FIOCRUZ-RJ), Rio de Janeiro 21040-360, RJ, Brazil
| | - Fred Luciano Neves Santos
- Interdisciplinary Research Group in Biotechnology and Epidemiology of Infectious Diseases (GRUPIBE), Gonçalo Moniz Institute, Oswaldo Cruz Foundation-Bahia (FIOCRUZ-BA), Salvador 402596-710, BA, Brazil; (L.M.L.); (L.d.C.M.V.); (D.D.S.); (T.B.S.P.); (I.C.d.S.)
- Advanced Public Health Laboratory, Gonçalo Moniz Institute, Oswaldo Cruz Foundation-Bahia (FIOCRUZ-BA), Salvador 402596-710, BA, Brazil
- Integrated Translational Program in Chagas Disease from FIOCRUZ (Fio-Chagas), Oswaldo Cruz Foundation-Rio de Janeiro (FIOCRUZ-RJ), Rio de Janeiro 21040-360, RJ, Brazil
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21
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Wang C, Yu Q, Zheng S, Shen W, Li J, Xu C, Gu B. Phenylboronic Acid-Modified Membrane-Like Magnetic Quantum Dots Enable the Ultrasensitive and Broad-Spectrum Detection of Viruses by Lateral Flow Immunoassay. ACS NANO 2024; 18:16752-16765. [PMID: 38901038 DOI: 10.1021/acsnano.4c01824] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/22/2024]
Abstract
Although lateral flow immunochromatographic assay (LFIA) is an effective point-of-care testing technology, it still cannot achieve broad-spectrum and ultrasensitive detection of viruses. Herein, we propose a multiplex LFIA platform using a two-dimensional graphene oxide (GO)-based magnetic fluorescent nanofilm (GF@DQD) as a multifunctional probe and 4-aminophenylboronic acid (APBA) as a broad-spectrum recognition molecule for viral glycoprotein detection. GF@DQD-APBA with enhanced magnetic/fluorescence properties and universal capture ability for multiple viruses was easily prepared through the electrostatic adsorption of one layer of density-controlled Fe3O4 nanoparticles (NPs) and thousands of small CdSe/ZnS-MPA quantum dots (QDs) on a monolayer GO sheet followed by chemical coupling with APBA on the QD surface. The GF@DQD-APBA probe enabled the universal capture and specific determination of different target viruses on the test strip through an arbitrary combination with the antibody-modified LFIA strip, thus greatly improving detection efficiency and reducing the cost and difficulty of multiplex LFIA for viruses. The proposed technique can simultaneously and sensitively diagnose three newly emerged viruses within 20 min with detection limits down to the pg/mL level. The excellent practicability of GF@DQD-APBA-LFIA was also demonstrated in the detection of 34 clinical specimens positive for SARS-CoV-2, revealing its potential for epidemic control and on-site viral detection.
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Affiliation(s)
- Chongwen Wang
- Department of Clinical Laboratory Medicine, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong 510000, China
| | - Qing Yu
- Department of Clinical Laboratory Medicine, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong 510000, China
| | - Shuai Zheng
- Department of Clinical Laboratory Medicine, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong 510000, China
| | - Wanzhu Shen
- Department of Clinical Laboratory Medicine, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong 510000, China
| | - Jiaxuan Li
- Department of Clinical Laboratory Medicine, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong 510000, China
| | - Changyue Xu
- Department of Clinical Laboratory Medicine, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong 510000, China
| | - Bing Gu
- Department of Clinical Laboratory Medicine, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong 510000, China
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22
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de Oliveira ME, Scussel R, Borghezan LA, Feuser PE, Ramos FF, Cardoso MDM, De Pieri E, Luiz GP, Galvani NC, Dal-Bó AG, Coelho EAF, Machado-de-Ávila RA. Accuracy improvement enzyme-linked immunosorbent assay using superparamagnetic/polyethylene glycol) nanoparticles for leishmaniasis diagnostic. Diagn Microbiol Infect Dis 2024; 109:116326. [PMID: 38692205 DOI: 10.1016/j.diagmicrobio.2024.116326] [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: 10/25/2023] [Revised: 03/11/2024] [Accepted: 04/24/2024] [Indexed: 05/03/2024]
Abstract
Serodiagnosis methods have been used as platforms for diagnostic tests for many diseases. Due to magnetic nanoparticles' properties to quickly detach from an external magnetic field and particle size effects, these nanomaterials' functionalization allows the specific isolation of target analytes, enhancing accuracy parameters and reducing serodiagnosis time. Superparamagnetic iron oxide nanoparticles (MNPs) were synthesized and functionalized with polyethylene glycol (PEG) and then associated with the synthetic Leishmaniosis epitope. This nano-peptide antigen showed promising results. Regarding Tegumentary leishmaniasis diagnostic accuracy, the AUC was 0.8398 with sensibility 75% (95CI% 50.50 - 89.82) and specificity 87.50% (95CI% 71.93 - 95.03), and Visceral leishmaniasis accuracy study also present high performance, the AUC was 0.9258 with sensibility 87.50% (95CI% 63.98 - 97.78) and specificity 87.50% (95CI% 71.93 - 95.03). Our results demonstrate that the association of the antigen with MNPs accelerates and improves the diagnosis process. MNPs could be an important tool for enhancing serodiagnosis.
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Affiliation(s)
- Maria Eduarda de Oliveira
- Programa de Pós-Graduação em Microbiologia, Parasitologia e Patologia, Universidade Federal do Paraná, 81531-990, Curitiba, Paraná, Brazil
| | - Rahisa Scussel
- Programa de Pós-Graduação em Ciências da Saúde, Universidade do Extremo Sul Catarinense, Universitário, 88806-000, Criciúma, Santa Catarina, Brazil
| | - Letícia Alves Borghezan
- Programa de Pós-Graduação em Ciências da Saúde, Universidade do Extremo Sul Catarinense, Universitário, 88806-000, Criciúma, Santa Catarina, Brazil
| | - Paulo Emilio Feuser
- Programa de Pós-Graduação em Engenharia Química, Department of Engenharia Química, Universidade Federal de Santa Catarina, Cidade Universitária Trindade, 88010-970, Florianópolis, Santa Catarina, Brazil
| | - Fernanda Fonseca Ramos
- Programa de Pós-Graduação em Ciências da Saúde, Infectologia e Medicina Tropical, Faculdade de Medicina, Universidade Federal de Minas Gerais, 30130-100, Belo Horizonte, Minas Gerais, Brazil
| | - Mariana de Melo Cardoso
- Programa de Pós-Graduação em Ciências da Saúde, Infectologia e Medicina Tropical, Faculdade de Medicina, Universidade Federal de Minas Gerais, 30130-100, Belo Horizonte, Minas Gerais, Brazil
| | - Ellen De Pieri
- Programa de Pós-Graduação em Ciências da Saúde, Universidade do Extremo Sul Catarinense, Universitário, 88806-000, Criciúma, Santa Catarina, Brazil
| | - Gabriel Paulino Luiz
- Programa de Pós-Graduação em Ciências da Saúde, Universidade do Extremo Sul Catarinense, Universitário, 88806-000, Criciúma, Santa Catarina, Brazil
| | - Nathalia Coral Galvani
- Programa de Pós-Graduação em Ciências da Saúde, Infectologia e Medicina Tropical, Faculdade de Medicina, Universidade Federal de Minas Gerais, 30130-100, Belo Horizonte, Minas Gerais, Brazil
| | - Alexandre Gonçalves Dal-Bó
- Programa de Pós-Graduação em Ciência e Engenharia de Materiais, Universidade do Extremo Sul Catarinense Sangão, 88806-000, Criciúma, Santa Catarina, Brazil
| | - Eduardo Antônio Ferraz Coelho
- Programa de Pós-Graduação em Ciências da Saúde, Infectologia e Medicina Tropical, Faculdade de Medicina, Universidade Federal de Minas Gerais, 30130-100, Belo Horizonte, Minas Gerais, Brazil
| | - Ricardo Andrez Machado-de-Ávila
- Programa de Pós-Graduação em Microbiologia, Parasitologia e Patologia, Universidade Federal do Paraná, 81531-990, Curitiba, Paraná, Brazil; Programa de Pós-Graduação em Ciências da Saúde, Universidade do Extremo Sul Catarinense, Universitário, 88806-000, Criciúma, Santa Catarina, Brazil.
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23
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Bouska O, Koudelakova V, Gurska S, Kubanova K, Slavkovsky R, Jaworek H, Vrbkova J, Dzubak P, Hajduch M. Pooling of samples to optimise SARS-CoV-2 detection in nasopharyngeal swabs and gargle lavage self-samples for covid-19 diagnostics and surveillance. Infect Dis (Lond) 2024; 56:531-542. [PMID: 38549542 DOI: 10.1080/23744235.2024.2333438] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/17/2023] [Accepted: 03/16/2024] [Indexed: 06/04/2024] Open
Abstract
BACKGROUND Testing of pooled samples is an effective strategy for increasing testing capacity while saving resources and time. This study aimed to validate pooled testing and gather real-life data on its use for Covid-19 surveillance with a gargle lavage (GL) self-sampling strategy. METHODS Two-stage pooled testing with pools of 6 and 12 samples was used for preventive testing of an asymptomatic population and Covid-19 surveillance in Czech schools. Both GL and nasopharyngeal swabs were used for sampling. RESULTS In total, 61,111 samples were tested. The use of pooled testing for large-scale Covid-19 surveillance reduced consumable costs by almost 75% and increased testing capacity up to 3.8-fold compared to standard methods. RT-PCR experiments revealed a minimal loss of sensitivity (0-2.2%) when using pooled samples, enabling the detection of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) genes with Ct values >35. The minor loss of sensitivity was counterbalanced by a significantly increased throughput and the ability to substantially increase testing frequencies. CONCLUSIONS Pooled testing is considerably more cost-effective and less time-consuming than standard testing for large-scale Covid-19 surveillance even when the prevalence of SARS-CoV-2 is fluctuating. Gargle lavage self-sampling is a non-invasive technique suitable for sample collection without a healthcare worker's assistance.
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Affiliation(s)
- Ondrej Bouska
- Institute of Molecular and Translational Medicine, Faculty of Medicine and Dentistry, Palacky University, Olomouc, Czech Republic
| | - Vladimira Koudelakova
- Institute of Molecular and Translational Medicine, Faculty of Medicine and Dentistry, Palacky University, Olomouc, Czech Republic
- Laboratory of Experimental Medicine, University Hospital Olomouc, Olomouc, Czech Republic
| | - Sona Gurska
- Institute of Molecular and Translational Medicine, Faculty of Medicine and Dentistry, Palacky University, Olomouc, Czech Republic
| | - Katerina Kubanova
- Institute of Molecular and Translational Medicine, Faculty of Medicine and Dentistry, Palacky University, Olomouc, Czech Republic
| | - Rastislav Slavkovsky
- Institute of Molecular and Translational Medicine, Faculty of Medicine and Dentistry, Palacky University, Olomouc, Czech Republic
| | - Hana Jaworek
- Institute of Molecular and Translational Medicine, Faculty of Medicine and Dentistry, Palacky University, Olomouc, Czech Republic
- Laboratory of Experimental Medicine, University Hospital Olomouc, Olomouc, Czech Republic
| | - Jana Vrbkova
- Institute of Molecular and Translational Medicine, Faculty of Medicine and Dentistry, Palacky University, Olomouc, Czech Republic
| | - Petr Dzubak
- Institute of Molecular and Translational Medicine, Faculty of Medicine and Dentistry, Palacky University, Olomouc, Czech Republic
| | - Marian Hajduch
- Institute of Molecular and Translational Medicine, Faculty of Medicine and Dentistry, Palacky University, Olomouc, Czech Republic
- Laboratory of Experimental Medicine, University Hospital Olomouc, Olomouc, Czech Republic
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24
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Whang K, Min J, Shin Y, Hwang I, Lee H, Kwak T, La JA, Kim S, Kim D, Lee LP, Kang T. Capillarity-Driven Enrichment and Hydrodynamic Trapping of Trace Nucleic Acids by Plasmonic Cavity Membrane for Rapid and Sensitive Detections. ADVANCED MATERIALS (DEERFIELD BEACH, FLA.) 2024; 36:e2403896. [PMID: 38663435 DOI: 10.1002/adma.202403896] [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: 03/16/2024] [Revised: 04/22/2024] [Indexed: 05/03/2024]
Abstract
Small-reactor-based polymerase chain reaction (PCR) has attracted considerable attention. A significant number of tiny reactors must be prepared in parallel to capture, amplify, and accurately quantify few target genes in clinically relevant large volume, which, however, requires sophisticated microfabrication and longer sample-to-answer time. Here, single plasmonic cavity membrane is reported that not only enriches and captures few nucleic acids by taking advantage of both capillarity and hydrodynamic trapping but also quickly amplifies them for sensitive plasmonic detection. The plasmonic cavity membrane with few nanoliters in a void volume is fabricated by self-assembling gold nanorods with SiO2 tips. Simulations reveal that hydrodynamic stagnation between the SiO2 tips is mainly responsible for the trapping of the nucleic acid in the membrane. Finally, it is shown that the plasmonic cavity membrane is capable of enriching severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) genes up to 20 000-fold within 1 min, amplifying within 3 min, and detecting the trace genes as low as a single copy µL-1. It is anticipated that this work not only expands the utility of PCR but also provides an innovative way of the enrichment and detection of trace biomolecules in a variety of point-of-care testing applications.
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Affiliation(s)
- Keumrai Whang
- Department of Chemical and Biomolecular Engineering, Sogang University, Seoul, 04107, South Korea
- Institute of Integrated Biotechnology, Sogang University, Seoul, 04107, South Korea
| | - Junwon Min
- Department of Mechanical Engineering, Sogang University, Seoul, 04107, South Korea
| | - Yonghee Shin
- Department of Chemical and Biomolecular Engineering, Sogang University, Seoul, 04107, South Korea
- Institute of Integrated Biotechnology, Sogang University, Seoul, 04107, South Korea
| | - Inhyeok Hwang
- Department of Chemical and Biomolecular Engineering, Sogang University, Seoul, 04107, South Korea
- Institute of Integrated Biotechnology, Sogang University, Seoul, 04107, South Korea
| | - Hyunjoo Lee
- Department of Mechanical Engineering, Sogang University, Seoul, 04107, South Korea
| | - Taejin Kwak
- Department of Mechanical Engineering, Sogang University, Seoul, 04107, South Korea
| | - Ju A La
- Department of Chemical and Biomolecular Engineering, Sogang University, Seoul, 04107, South Korea
- Institute of Integrated Biotechnology, Sogang University, Seoul, 04107, South Korea
| | - Sungbong Kim
- Institute of Integrated Biotechnology, Sogang University, Seoul, 04107, South Korea
- Department of Chemistry, Military Academy, Seoul, 01805, South Korea
| | - Dongchoul Kim
- Department of Mechanical Engineering, Sogang University, Seoul, 04107, South Korea
| | - Luke P Lee
- Harvard Institute of Medicine, Harvard Medical School, Brigham and Women's Hospital, Harvard University, Boston, MA, 02115, USA
- Department of Bioengineering, Department of Electrical Engineering and Computer Science, University of California at Berkeley, Berkeley, CA, 94720, USA
- Institute of Quantum Biophysics, Department of Biophysics, Sungkyunkwan University, Suwonsi, Gyeonggi-do, 16419, South Korea
| | - Taewook Kang
- Department of Chemical and Biomolecular Engineering, Sogang University, Seoul, 04107, South Korea
- Institute of Integrated Biotechnology, Sogang University, Seoul, 04107, South Korea
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25
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Mojebi A, Wu P, Keeping S, Hale B, Chase JG, Beaubrun A. Clinical impact of rapid molecular diagnostic tests in patients presenting with viral respiratory symptoms: A systematic literature review. PLoS One 2024; 19:e0303560. [PMID: 38870136 PMCID: PMC11175541 DOI: 10.1371/journal.pone.0303560] [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: 03/08/2024] [Accepted: 04/27/2024] [Indexed: 06/15/2024] Open
Abstract
BACKGROUND Molecular tests can detect lower concentrations of viral genetic material over a longer period of respiratory infection than antigen tests. Delays associated with central laboratory testing can result in hospital-acquired transmission, avoidable patient admission, and unnecessary use of antimicrobials, all which may lead to increased cost of patient management. The aim of this study was to summarize comparisons of clinical outcomes associated with rapid molecular diagnostic tests (RMDTs) versus other diagnostic tests for viral respiratory infections. METHODS A systematic literature review (SLR) conducted in April 2023 identified studies evaluating clinical outcomes of molecular and antigen diagnostic tests for patients suspected of having respiratory viral infections. RESULTS The SLR included 21 studies, of which seven and 14 compared RMDTs (conducted at points of care or at laboratories) to standard (non-rapid) molecular tests or antigen tests to detect SARS-CoV-2 and influenza, respectively. In studies testing for SARS-CoV-2, RMDTs led to reductions in time to test results versus standard molecular tests (range of the reported medians: 0.2-3.8 hours versus 4.3-35.9 hours), with similar length of emergency department stay (3.2-8 hours versus 3.7-28.8 hours). Similarly, in studies testing for influenza, RMDTs led to reductions in time to test results versus standard molecular tests (1-3.5 hours versus 18.2-29.2 hours), with similar length of emergency department stay (3.7-11 hours versus 3.8-11.9 hours). RMDTs were found to decrease exposure time of uninfected patients, rate of hospitalization, length of stay at the hospitals, and frequency of unnecessary antiviral and antibacterial therapy, while improving patient flow, compared to other tests. CONCLUSIONS Compared to other diagnostic tests, RMDTs improve clinical outcomes, test turnaround time, and stewardship by decreasing unnecessary use of antibiotics and antivirals. They also reduce hospital admission and length of stay, which may, in turn, reduce unnecessary exposure of patients to hospital-acquired infections and their associated costs.
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Affiliation(s)
- Ali Mojebi
- Evidence Synthesis, PRECISIONheor, Vancouver, BC, Canada
| | - Ping Wu
- Evidence Synthesis, PRECISIONheor, Vancouver, BC, Canada
| | - Sam Keeping
- Evidence Synthesis, PRECISIONheor, Vancouver, BC, Canada
| | - Braden Hale
- Evidence Synthesis, PRECISIONheor, Vancouver, BC, Canada
| | - Jordan G. Chase
- Global Health Economics & Outcomes Research, Cepheid, Sunnyvale, CA, United States of America
| | - Anne Beaubrun
- Global Health Economics & Outcomes Research, Cepheid, Sunnyvale, CA, United States of America
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Liu Y, Lao X, Wong MC, Song M, Lai H, Wang P, Ma Y, Li L, Yang M, Chen H, Hao J. Microfluidic Chip-Assisted Upconversion Luminescence Biosensing Platform for Point-of-Care Virus Diagnostics. Adv Healthc Mater 2024; 13:e2303897. [PMID: 38452274 DOI: 10.1002/adhm.202303897] [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: 12/05/2023] [Revised: 02/05/2024] [Indexed: 03/09/2024]
Abstract
Epidemics caused by multiple viruses continue to emerge, which have brought a terrible impact on human society. Identification of viral infections with high sensitivity and portability is of significant importance for the screening and management of diseases caused by viruses. Herein, a microfluidic chip (MFC)-assisted upconversion luminescence biosensing platform is designed and fabricated for point-of-care virus detection. Upconversion nanoparticles with excellent stability are successfully synthesized as luminescent agents for optical signal generation in the portable virus diagnostic platform. The relevant investigation results illustrate that the MFC-assisted virus diagnostic platform possesses outstanding performance such as good integration, high sensitivity (1.12 pg mL-1), ease of use, and portability. In addition, clinical sample test result verifies its more prominent virus diagnostic properties than commercially available rapid test strips. All of these thrilling capabilities imply that the designed portable virus diagnostic platform has great potential for future virus detection applications.
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Affiliation(s)
- Yuan Liu
- Department of Applied Physics, The Hong Kong Polytechnic University, Kowloon, Hong Kong, 999077, China
| | - Xinyue Lao
- Department of Applied Physics, The Hong Kong Polytechnic University, Kowloon, Hong Kong, 999077, China
| | - Man-Chung Wong
- Department of Applied Physics, The Hong Kong Polytechnic University, Kowloon, Hong Kong, 999077, China
| | - Menglin Song
- Department of Applied Physics, The Hong Kong Polytechnic University, Kowloon, Hong Kong, 999077, China
| | - Huang Lai
- Department of Biomedical Engineering, The Hong Kong Polytechnic University, Kowloon, Hong Kong, 999077, China
| | - Pui Wang
- State Key Laboratory for Emerging Infectious Diseases, Department of Microbiology, LKS Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong, 999077, China
| | - Yingjin Ma
- Department of Applied Physics, The Hong Kong Polytechnic University, Kowloon, Hong Kong, 999077, China
| | - Lihua Li
- Department of Applied Physics, The Hong Kong Polytechnic University, Kowloon, Hong Kong, 999077, China
| | - Mo Yang
- Department of Biomedical Engineering, The Hong Kong Polytechnic University, Kowloon, Hong Kong, 999077, China
- Research Centre for Nanoscience and Nanotechnology, The Hong Kong Polytechnic University, Kowloon, Hong Kong, 999077, China
| | - Honglin Chen
- State Key Laboratory for Emerging Infectious Diseases, Department of Microbiology, LKS Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong, 999077, China
| | - Jianhua Hao
- Department of Applied Physics, The Hong Kong Polytechnic University, Kowloon, Hong Kong, 999077, China
- Research Centre for Nanoscience and Nanotechnology, The Hong Kong Polytechnic University, Kowloon, Hong Kong, 999077, China
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27
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Wu Q, Zhang P, Zhou G, Fu Q, Bai R, Ding H, Meng F, Xu X, Chen M. Impact of SARS-CoV-2 Vaccination or Infection on the Safety and Efficacy of Aesthetic Injections: A Systematic Review. Aesthetic Plast Surg 2024; 48:2343-2352. [PMID: 38302710 DOI: 10.1007/s00266-023-03769-2] [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: 09/02/2023] [Accepted: 11/17/2023] [Indexed: 02/03/2024]
Abstract
BACKGROUND Aesthetic injections have become increasingly popular for maintaining a youthful appearance. However, with the rise of SARS-CoV-2, there have been concerns about potential complications. This study aims to summarize and understand the complications that occur in individuals who have received cosmetic injections after SARS-CoV-2 infection or vaccination. By doing so, we hope to provide recommendations to minimize these complications and ensure the safety of aesthetic treatments in the current COVID-19 era. METHODS The PRISMA guidelines, the Preferred Reporting Program for Systematic Reviews and Meta-Analyses, were used for this review. Databases including PubMed, EMBASE, Medline, Web of Science and ScienceDirect were searched. The last search time of each database was May 10, 2023. In addition, relevant references were manually searched. RESULTS A total of 26 studies containing 139 patients were searched. The complication with the highest percentage of reported patients was delayed inflammatory response (DIR) (n = 68; 48.92%), followed by diminished efficacy (n = 45; 32.37%) and filler reaction (n = 12; 8.63%). The remaining complications include hypersensitivity reactions, symptomatic hypercalcemia, sub-acute hypersensitive reactions, hyperalgesia, infection, fat necrosis and granulomatous reaction. CONCLUSIONS Cosmetic injectable procedures are generally safe but may have adverse effects, particularly during the pandemic. It is important for individuals to fully understand these risks beforehand. Clinicians should be knowledgeable about adverse event mechanisms and management to prevent issues. Industry leaders should strengthen risk management efforts to ensure safe and steady development of cosmetic injections. Overall, a comprehensive understanding, effective communication and risk management are crucial for the safe use of cosmetic injectable procedures. LEVEL OF EVIDENCE III This journal requires that authors assign a level of evidence to each article. For a full description of these Evidence-Based Medicine ratings, please refer to the Table of Contents or the online Instructions to Authors at www.springer.com/00266 .
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Affiliation(s)
- Qian Wu
- Department of Medical Service, The Sixth Medical Center of Chinese PLA General Hospital, Beijing, China
- Department of Plastic and Reconstructive Surgery, Senior Department of Burns and Plastic Surgery, The Forth Medical Center of Chinese PLA General Hospital, No. 51 Fucheng Road, Haidian District, Beijing, 10048, China
| | - Peixuan Zhang
- Department of Plastic and Reconstructive Surgery, Senior Department of Burns and Plastic Surgery, The Forth Medical Center of Chinese PLA General Hospital, No. 51 Fucheng Road, Haidian District, Beijing, 10048, China
| | - Guiwen Zhou
- Department of Plastic and Reconstructive Surgery, Senior Department of Burns and Plastic Surgery, The Forth Medical Center of Chinese PLA General Hospital, No. 51 Fucheng Road, Haidian District, Beijing, 10048, China
| | - Qiang Fu
- Department of Plastic and Reconstructive Surgery, Senior Department of Burns and Plastic Surgery, The Forth Medical Center of Chinese PLA General Hospital, No. 51 Fucheng Road, Haidian District, Beijing, 10048, China
| | - Ruiqi Bai
- Department of Plastic and Reconstructive Surgery, Senior Department of Burns and Plastic Surgery, The Forth Medical Center of Chinese PLA General Hospital, No. 51 Fucheng Road, Haidian District, Beijing, 10048, China
| | - Hongfan Ding
- Department of Plastic and Reconstructive Surgery, Senior Department of Burns and Plastic Surgery, The Forth Medical Center of Chinese PLA General Hospital, No. 51 Fucheng Road, Haidian District, Beijing, 10048, China
| | - Fanting Meng
- Department of Plastic and Reconstructive Surgery, Senior Department of Burns and Plastic Surgery, The Forth Medical Center of Chinese PLA General Hospital, No. 51 Fucheng Road, Haidian District, Beijing, 10048, China
| | - Xiao Xu
- Department of Ophthalmology, The Third Medical Center of Chinese PLA General Hospital, No. 69 Yongding Road, Haidian District, Beijing, 100039, China.
| | - Minliang Chen
- Department of Plastic and Reconstructive Surgery, Senior Department of Burns and Plastic Surgery, The Forth Medical Center of Chinese PLA General Hospital, No. 51 Fucheng Road, Haidian District, Beijing, 10048, China.
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Burian K, Heidler F, Frahm N, Hecker M, Langhorst SE, Mashhadiakbar P, Streckenbach B, Baldt J, Meißner J, Richter J, Zettl UK. Vaccination status and self-reported side effects after SARS-CoV-2 vaccination in relation to psychological and clinical variables in patients with multiple sclerosis. Sci Rep 2024; 14:12248. [PMID: 38806524 PMCID: PMC11133397 DOI: 10.1038/s41598-024-62541-x] [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: 11/14/2023] [Accepted: 05/17/2024] [Indexed: 05/30/2024] Open
Abstract
The recent SARS-CoV-2 pandemic and the vaccination campaign posed a challenge to patients with autoimmune disease, such as multiple sclerosis (MS). We aimed for investigating whether psychological/sociodemographic/clinical characteristics of MS patients are associated with SARS-CoV-2 vaccination status and self-reported vaccination side effects (SEs). We have asked patients with MS about their willingness to receive recommended standard vaccinations pre-pandemically since June 2019. Between 10/2021 and 01/2022, we surveyed 193 of these MS patients about their current SARS-CoV-2 vaccination status, their perception of vaccination-related SEs, and reasons for and against SARS-CoV-2 vaccination. 75.6% of the patients declared their willingness to receive standard vaccinations before the pandemic. 84.5%, 78.2%, and 13.0% of the patients had received the first, second, and third SARS-CoV-2 vaccination, respectively, until the follow-up survey. The most common reason for not getting vaccinated against SARS-CoV-2 was concern about possible side effects (82.1%), followed by the belief that the vaccines had not been adequately tested (64.3%). Vaccination-related SEs were reported by 52.8% of the patients. Younger age, higher education, lower degree of disability, relapsing disease course, shorter disease duration, not receiving a disease-modifying therapy and higher anxiety and depression levels were associated with the occurrence of certain vaccination-related SEs. Concerns about novel vaccines are widespread among MS patients and necessitate targeted education of the patients, especially to those with more severe psychopathological symptoms (anxiety or depression) and those who are generally skeptical of vaccination.
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Affiliation(s)
- Katja Burian
- Neuroimmunology Section, Department of Neurology, Rostock University Medical Center, Gehlsheimer Straße 20, 18147, Rostock, Germany.
- Department of Neurology, Ecumenic Hainich Hospital gGmbH, Pfafferode 102, 99974, Mühlhausen, Germany.
| | - Felicita Heidler
- Department of Neurology, Ecumenic Hainich Hospital gGmbH, Pfafferode 102, 99974, Mühlhausen, Germany
| | - Niklas Frahm
- Neuroimmunology Section, Department of Neurology, Rostock University Medical Center, Gehlsheimer Straße 20, 18147, Rostock, Germany
| | - Michael Hecker
- Neuroimmunology Section, Department of Neurology, Rostock University Medical Center, Gehlsheimer Straße 20, 18147, Rostock, Germany
| | - Silvan Elias Langhorst
- Neuroimmunology Section, Department of Neurology, Rostock University Medical Center, Gehlsheimer Straße 20, 18147, Rostock, Germany
| | - Pegah Mashhadiakbar
- Neuroimmunology Section, Department of Neurology, Rostock University Medical Center, Gehlsheimer Straße 20, 18147, Rostock, Germany
| | - Barbara Streckenbach
- Neuroimmunology Section, Department of Neurology, Rostock University Medical Center, Gehlsheimer Straße 20, 18147, Rostock, Germany
- Department of Neurology, Ecumenic Hainich Hospital gGmbH, Pfafferode 102, 99974, Mühlhausen, Germany
| | - Julia Baldt
- Neuroimmunology Section, Department of Neurology, Rostock University Medical Center, Gehlsheimer Straße 20, 18147, Rostock, Germany
- Department of Neurology, Ecumenic Hainich Hospital gGmbH, Pfafferode 102, 99974, Mühlhausen, Germany
| | - Janina Meißner
- Neuroimmunology Section, Department of Neurology, Rostock University Medical Center, Gehlsheimer Straße 20, 18147, Rostock, Germany
- Department of Neurology, Ecumenic Hainich Hospital gGmbH, Pfafferode 102, 99974, Mühlhausen, Germany
| | - Jörg Richter
- Department of Neurology, Ecumenic Hainich Hospital gGmbH, Pfafferode 102, 99974, Mühlhausen, Germany
- Faculty of Health Sciences, University of Hull, Cottingham Rd, Hull, HU6 7RX, UK
- Durham Law School, The Palatine Centre, Durham University, Stockton Rd, Durham, DH1 3LE, UK
| | - Uwe Klaus Zettl
- Neuroimmunology Section, Department of Neurology, Rostock University Medical Center, Gehlsheimer Straße 20, 18147, Rostock, Germany
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Wang Y, Chen J, Yang Z, Wang X, Zhang Y, Chen M, Ming Z, Zhang K, Zhang D, Zheng L. Advances in Nucleic Acid Assays for Infectious Disease: The Role of Microfluidic Technology. Molecules 2024; 29:2417. [PMID: 38893293 PMCID: PMC11173870 DOI: 10.3390/molecules29112417] [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: 04/19/2024] [Revised: 05/16/2024] [Accepted: 05/20/2024] [Indexed: 06/21/2024] Open
Abstract
Within the fields of infectious disease diagnostics, microfluidic-based integrated technology systems have become a vital technology in enhancing the rapidity, accuracy, and portability of pathogen detection. These systems synergize microfluidic techniques with advanced molecular biology methods, including reverse transcription polymerase chain reaction (RT-PCR), loop-mediated isothermal amplification (LAMP), and clustered regularly interspaced short palindromic repeats (CRISPR), have been successfully used to identify a diverse array of pathogens, including COVID-19, Ebola, Zika, and dengue fever. This review outlines the advances in pathogen detection, attributing them to the integration of microfluidic technology with traditional molecular biology methods and smartphone- and paper-based diagnostic assays. The cutting-edge diagnostic technologies are of critical importance for disease prevention and epidemic surveillance. Looking ahead, research is expected to focus on increasing detection sensitivity, streamlining testing processes, reducing costs, and enhancing the capability for remote data sharing. These improvements aim to achieve broader coverage and quicker response mechanisms, thereby constructing a more robust defense for global public health security.
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Affiliation(s)
- Yiran Wang
- Engineering Research Center of Optical Instrument and System, The Ministry of Education, Shanghai Key Laboratory of Modern Optical System, University of Shanghai for Science and Technology, Shanghai 200093, China
| | - Jingwei Chen
- Engineering Research Center of Optical Instrument and System, The Ministry of Education, Shanghai Key Laboratory of Modern Optical System, University of Shanghai for Science and Technology, Shanghai 200093, China
| | - Zhijin Yang
- Engineering Research Center of Optical Instrument and System, The Ministry of Education, Shanghai Key Laboratory of Modern Optical System, University of Shanghai for Science and Technology, Shanghai 200093, China
| | - Xuanyu Wang
- Engineering Research Center of Optical Instrument and System, The Ministry of Education, Shanghai Key Laboratory of Modern Optical System, University of Shanghai for Science and Technology, Shanghai 200093, China
| | - Yule Zhang
- Engineering Research Center of Optical Instrument and System, The Ministry of Education, Shanghai Key Laboratory of Modern Optical System, University of Shanghai for Science and Technology, Shanghai 200093, China
| | - Mengya Chen
- Engineering Research Center of Optical Instrument and System, The Ministry of Education, Shanghai Key Laboratory of Modern Optical System, University of Shanghai for Science and Technology, Shanghai 200093, China
| | - Zizhen Ming
- Shanghai Institute of Immunology, Department of Immunology and Microbiology, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - Kaihuan Zhang
- 2020 X-Lab, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai 200050, China
| | - Dawei Zhang
- Engineering Research Center of Optical Instrument and System, The Ministry of Education, Shanghai Key Laboratory of Modern Optical System, University of Shanghai for Science and Technology, Shanghai 200093, China
- Shanghai Engineering Research Center of Environmental Biosafety Instruments and Equipment, University of Shanghai for Science and Technology, Shanghai 200093, China
- Shanghai Institute of Intelligent Science and Technology, Tongji University, Shanghai 200092, China
| | - Lulu Zheng
- Engineering Research Center of Optical Instrument and System, The Ministry of Education, Shanghai Key Laboratory of Modern Optical System, University of Shanghai for Science and Technology, Shanghai 200093, China
- Shanghai Engineering Research Center of Environmental Biosafety Instruments and Equipment, University of Shanghai for Science and Technology, Shanghai 200093, China
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30
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Ding W, Wang MZ, Zeng XW, Liu ZH, Meng Y, Hu HT, Zhang Y, Guan YG, Meng FG, Zhang JG, Wang S. Mental health and insomnia problems in healthcare workers after the COVID-19 pandemic: A multicenter cross-sectional study. World J Psychiatry 2024; 14:704-714. [PMID: 38808084 PMCID: PMC11129153 DOI: 10.5498/wjp.v14.i5.704] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/14/2024] [Revised: 03/19/2024] [Accepted: 04/25/2024] [Indexed: 05/16/2024] Open
Abstract
BACKGROUND Healthcare workers (HCWs) are at increased risk of contracting coronavirus disease 2019 (COVID-19) as well as worsening mental health problems and insomnia. These problems can persist for a long period, even after the pandemic. However, less is known about this topic. AIM To analyze mental health, insomnia problems, and their influencing factors in HCWs after the COVID-19 pandemic. METHODS This multicenter cross-sectional, hospital-based study was conducted from June 1, 2023 to June 30, 2023, which was a half-year after the end of the COVID-19 emergency. Region-stratified population-based cluster sampling was applied at the provincial level for Chinese HCWs. Symptoms such as anxiety, depression, and insomnia were evaluated by the Generalized Anxiety Disorder-7, Patient Health Questionnaire-9, and Insomnia Severity Index. Factors influencing the symptoms were identified by multivariable logistic regression. RESULTS A total of 2000 participants were invited, for a response rate of 70.6%. A total of 1412 HCWs [618 (43.8%) doctors, 583 (41.3%) nurses and 211 (14.9%) nonfrontline], 254 (18.0%), 231 (16.4%), and 289 (20.5%) had symptoms of anxiety, depression, and insomnia, respectively; severe symptoms were found in 58 (4.1%), 49 (3.5%), and 111 (7.9%) of the participants. Nurses, female sex, and hospitalization for COVID-19 were risk factors for anxiety, depression, and insomnia symptoms; moreover, death from family or friends was a risk factor for insomnia symptoms. During the COVID-19 outbreak, most [1086 (76.9%)] of the participating HCWs received psychological interventions, while nearly all [994 (70.4%)] of them had received public psychological education. Only 102 (7.2%) of the HCWs received individual counseling from COVID-19. CONCLUSION Although the mental health and sleep problems of HCWs were relieved after the COVID-19 pandemic, they still faced challenges and greater risks than did the general population. Identifying risk factors would help in providing targeted interventions. In addition, although a major proportion of HCWs have received public psychological education, individual interventions are still insufficient.
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Affiliation(s)
- Wei Ding
- Department of Public Health, Liaocheng People’s Hospital, Liaocheng 252000, Shandong Province, China
| | - Min-Zhong Wang
- Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan 250021, Shandong Province, China
| | - Xian-Wei Zeng
- Department of Neurosurgery, Qilu Hospital of Shandong University, Jinan 250012, Shandong Province, China
| | - Zhen-Hua Liu
- Sleep Medicine Center, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan 250021, Shandong Province, China
| | - Yao Meng
- Department of Neurology, The First Affiliated Hospital of Shandong First Medical University, Jinan 250014, Shandong Province, China
| | - Hui-Ting Hu
- Department of Neurology, Heze Mudan People’s Hospital, Heze 274000, Shandong Province, China
| | - Yuan Zhang
- Neonatal Center, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing 100045, China
| | - Yu-Guang Guan
- Department of Neurosurgery, SanBo Brain Hospital, Capital Medical University, Beijing 100093, China
| | - Fan-Gang Meng
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China
| | - Jian-Guo Zhang
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China
| | - Shu Wang
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China
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Huang H, Guo Z, Chen D, Deng G. Editorial: The impact of the COVID-19 pandemic on dermatology patients: diagnosis, treatment, and prognosis. Front Med (Lausanne) 2024; 11:1418722. [PMID: 38756939 PMCID: PMC11096561 DOI: 10.3389/fmed.2024.1418722] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2024] [Accepted: 04/22/2024] [Indexed: 05/18/2024] Open
Affiliation(s)
- Huining Huang
- Department of Dermatology, Xiangya Hospital, Central South University, Changsha, China
- National Engineering Research Center of Personalized Diagnostic and Therapeutic Technology, Changsha, Hunan, China
- Furong Laboratory, Changsha, Hunan, China
- Hunan Key Laboratory of Skin Cancer and Psoriasis, Hunan Engineering Research Center of Skin Health and Disease, Xiangya Hospital, Central South University, Changsha, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Changsha, Hunan, China
| | - Ziyu Guo
- Department of Dermatology, Xiangya Hospital, Central South University, Changsha, China
- National Engineering Research Center of Personalized Diagnostic and Therapeutic Technology, Changsha, Hunan, China
- Furong Laboratory, Changsha, Hunan, China
- Hunan Key Laboratory of Skin Cancer and Psoriasis, Hunan Engineering Research Center of Skin Health and Disease, Xiangya Hospital, Central South University, Changsha, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Changsha, Hunan, China
| | - Danyao Chen
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Changsha, Hunan, China
- Department of Thoracic Surgery, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Guangtong Deng
- Department of Dermatology, Xiangya Hospital, Central South University, Changsha, China
- National Engineering Research Center of Personalized Diagnostic and Therapeutic Technology, Changsha, Hunan, China
- Furong Laboratory, Changsha, Hunan, China
- Hunan Key Laboratory of Skin Cancer and Psoriasis, Hunan Engineering Research Center of Skin Health and Disease, Xiangya Hospital, Central South University, Changsha, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Changsha, Hunan, China
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32
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Yuan H, Wan C, Wang X, Li S, Xie H, Qian C, Du W, Feng X, Li Y, Chen P, Liu BF. Programmable Gravity Self-Driven Microfluidic Chip for Point-of-Care Multiplied Immunoassays. SMALL (WEINHEIM AN DER BERGSTRASSE, GERMANY) 2024; 20:e2310206. [PMID: 38085133 DOI: 10.1002/smll.202310206] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/29/2023] [Revised: 12/02/2023] [Indexed: 05/25/2024]
Abstract
Point-of-care testing (POCT) is experiencing a groundbreaking transformation with microfluidic chips, which offer precise fluid control and manipulation at the microscale. Nevertheless, chip design or operation for existing platforms is rather cumbersome, with some even heavily depending on external drivers or devices, impeding their broader utilization. This study develops a unique programmable gravity self-driven microfluidic chip (PGSMC) capable of simultaneous multi-reagent sequential release, multi-target analysis, and multi-chip operation. All necessary reagents are introduced in a single step, and the process is initiated simply by flipping the PGSMC vertically, eliminating the need for additional steps or devices. Additionally, it demonstrates successful immunoassays in less than 60 min for antinuclear antibodies testing, compared to more than 120 min by traditional methods. Assessment using 25 clinically diagnosed cases showcases remarkable sensitivity (96%), specificity (100%), and accuracy (99%). These outcomes underscored its potential as a promising platform for POCT with high accuracy, speed, and reliability, highlighting its capability for automated fluid control.
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Affiliation(s)
- Huijuan Yuan
- The Key Laboratory for Biomedical Photonics of MOE at Wuhan National Laboratory for Optoelectronics-Hubei Bioinformatics & Molecular Imaging Key Laboratory, Systems Biology Theme, Department of Biomedical Engineering, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, 430074, China
| | - Chao Wan
- The Key Laboratory for Biomedical Photonics of MOE at Wuhan National Laboratory for Optoelectronics-Hubei Bioinformatics & Molecular Imaging Key Laboratory, Systems Biology Theme, Department of Biomedical Engineering, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, 430074, China
| | - Xin Wang
- The Key Laboratory for Biomedical Photonics of MOE at Wuhan National Laboratory for Optoelectronics-Hubei Bioinformatics & Molecular Imaging Key Laboratory, Systems Biology Theme, Department of Biomedical Engineering, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, 430074, China
| | - Shunji Li
- The Key Laboratory for Biomedical Photonics of MOE at Wuhan National Laboratory for Optoelectronics-Hubei Bioinformatics & Molecular Imaging Key Laboratory, Systems Biology Theme, Department of Biomedical Engineering, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, 430074, China
| | - Han Xie
- The Key Laboratory for Biomedical Photonics of MOE at Wuhan National Laboratory for Optoelectronics-Hubei Bioinformatics & Molecular Imaging Key Laboratory, Systems Biology Theme, Department of Biomedical Engineering, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, 430074, China
| | - Chungen Qian
- The Key Laboratory for Biomedical Photonics of MOE at Wuhan National Laboratory for Optoelectronics-Hubei Bioinformatics & Molecular Imaging Key Laboratory, Systems Biology Theme, Department of Biomedical Engineering, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, 430074, China
| | - Wei Du
- The Key Laboratory for Biomedical Photonics of MOE at Wuhan National Laboratory for Optoelectronics-Hubei Bioinformatics & Molecular Imaging Key Laboratory, Systems Biology Theme, Department of Biomedical Engineering, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, 430074, China
| | - Xiaojun Feng
- The Key Laboratory for Biomedical Photonics of MOE at Wuhan National Laboratory for Optoelectronics-Hubei Bioinformatics & Molecular Imaging Key Laboratory, Systems Biology Theme, Department of Biomedical Engineering, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, 430074, China
| | - Yiwei Li
- The Key Laboratory for Biomedical Photonics of MOE at Wuhan National Laboratory for Optoelectronics-Hubei Bioinformatics & Molecular Imaging Key Laboratory, Systems Biology Theme, Department of Biomedical Engineering, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, 430074, China
| | - Peng Chen
- The Key Laboratory for Biomedical Photonics of MOE at Wuhan National Laboratory for Optoelectronics-Hubei Bioinformatics & Molecular Imaging Key Laboratory, Systems Biology Theme, Department of Biomedical Engineering, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, 430074, China
| | - Bi-Feng Liu
- The Key Laboratory for Biomedical Photonics of MOE at Wuhan National Laboratory for Optoelectronics-Hubei Bioinformatics & Molecular Imaging Key Laboratory, Systems Biology Theme, Department of Biomedical Engineering, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, 430074, China
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Ray P, Ledgerwood-Lee M, Brickner H, Clark AE, Garretson A, Graham R, Van Zant W, Carlin AF, Aronoff-Spencer ES. Design and Development of an Antigen Test for SARS-CoV-2 Nucleocapsid Protein to Validate the Viral Quality Assurance Panels. Viruses 2024; 16:662. [PMID: 38793544 PMCID: PMC11125937 DOI: 10.3390/v16050662] [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: 03/30/2024] [Revised: 04/19/2024] [Accepted: 04/21/2024] [Indexed: 05/26/2024] Open
Abstract
The continuing mutability of the SARS-CoV-2 virus can result in failures of diagnostic assays. To address this, we describe a generalizable bioinformatics-to-biology pipeline developed for the calibration and quality assurance of inactivated SARS-CoV-2 variant panels provided to Radical Acceleration of Diagnostics programs (RADx)-radical program awardees. A heuristic genetic analysis based on variant-defining mutations demonstrated the lowest genetic variance in the Nucleocapsid protein (Np)-C-terminal domain (CTD) across all SARS-CoV-2 variants. We then employed the Shannon entropy method on (Np) sequences collected from the major variants, verifying the CTD with lower entropy (less prone to mutations) than other Np regions. Polyclonal and monoclonal antibodies were raised against this target CTD antigen and used to develop an Enzyme-linked immunoassay (ELISA) test for SARS-CoV-2. Blinded Viral Quality Assurance (VQA) panels comprised of UV-inactivated SARS-CoV-2 variants (XBB.1.5, BF.7, BA.1, B.1.617.2, and WA1) and distractor respiratory viruses (CoV 229E, CoV OC43, RSV A2, RSV B, IAV H1N1, and IBV) were assembled by the RADx-rad Diagnostics core and tested using the ELISA described here. The assay tested positive for all variants with high sensitivity (limit of detection: 1.72-8.78 ng/mL) and negative for the distractor virus panel. Epitope mapping for the monoclonal antibodies identified a 20 amino acid antigenic peptide on the Np-CTD that an in-silico program also predicted for the highest antigenicity. This work provides a template for a bioinformatics pipeline to select genetic regions with a low propensity for mutation (low Shannon entropy) to develop robust 'pan-variant' antigen-based assays for viruses prone to high mutational rates.
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Affiliation(s)
- Partha Ray
- Department of Medicine, Division of Infectious Diseases and Global Public Health, University of California, San Diego, CA 92093, USA; (P.R.); (M.L.-L.); (H.B.); (A.E.C.); (A.G.); (R.G.); (W.V.Z.); (A.F.C.)
| | - Melissa Ledgerwood-Lee
- Department of Medicine, Division of Infectious Diseases and Global Public Health, University of California, San Diego, CA 92093, USA; (P.R.); (M.L.-L.); (H.B.); (A.E.C.); (A.G.); (R.G.); (W.V.Z.); (A.F.C.)
| | - Howard Brickner
- Department of Medicine, Division of Infectious Diseases and Global Public Health, University of California, San Diego, CA 92093, USA; (P.R.); (M.L.-L.); (H.B.); (A.E.C.); (A.G.); (R.G.); (W.V.Z.); (A.F.C.)
| | - Alex E. Clark
- Department of Medicine, Division of Infectious Diseases and Global Public Health, University of California, San Diego, CA 92093, USA; (P.R.); (M.L.-L.); (H.B.); (A.E.C.); (A.G.); (R.G.); (W.V.Z.); (A.F.C.)
| | - Aaron Garretson
- Department of Medicine, Division of Infectious Diseases and Global Public Health, University of California, San Diego, CA 92093, USA; (P.R.); (M.L.-L.); (H.B.); (A.E.C.); (A.G.); (R.G.); (W.V.Z.); (A.F.C.)
| | - Rishi Graham
- Department of Medicine, Division of Infectious Diseases and Global Public Health, University of California, San Diego, CA 92093, USA; (P.R.); (M.L.-L.); (H.B.); (A.E.C.); (A.G.); (R.G.); (W.V.Z.); (A.F.C.)
| | - Westley Van Zant
- Department of Medicine, Division of Infectious Diseases and Global Public Health, University of California, San Diego, CA 92093, USA; (P.R.); (M.L.-L.); (H.B.); (A.E.C.); (A.G.); (R.G.); (W.V.Z.); (A.F.C.)
| | - Aaron F. Carlin
- Department of Medicine, Division of Infectious Diseases and Global Public Health, University of California, San Diego, CA 92093, USA; (P.R.); (M.L.-L.); (H.B.); (A.E.C.); (A.G.); (R.G.); (W.V.Z.); (A.F.C.)
- Department of Pathology, University of California, San Diego, CA 92093, USA
| | - Eliah S. Aronoff-Spencer
- Department of Medicine, Division of Infectious Diseases and Global Public Health, University of California, San Diego, CA 92093, USA; (P.R.); (M.L.-L.); (H.B.); (A.E.C.); (A.G.); (R.G.); (W.V.Z.); (A.F.C.)
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Zhang X, Nurxat N, Aili J, Yasen Y, Wang Q, Liu Q. The characteristics of microbiome in the upper respiratory tract of COVID-19 patients. BMC Microbiol 2024; 24:138. [PMID: 38658823 PMCID: PMC11040800 DOI: 10.1186/s12866-024-03281-w] [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: 11/12/2023] [Accepted: 03/28/2024] [Indexed: 04/26/2024] Open
Abstract
BACKGROUND Co-infection with other pathogens in coronavirus disease 2019 (COVID-19) patients exacerbates disease severity and impacts patient prognosis. Clarifying the exact pathogens co-infected with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is premise of the precise treatment for COVID-19 patients. METHODS Sputum samples were collected from 17 patients in the COVID-19 positive group and 18 patients in the COVID-19 negative group. DNA extraction was performed to obtain the total DNA. Sequencing analysis using 16S and ITS rRNA gene was carried out to analyze the composition of bacterial and fungal communities. Meanwhile, all the samples were inoculated for culture. RESULTS We did not observe significant differences in bacterial composition between the COVID-19 positive and negative groups. However, a significantly higher abundance of Candida albicans was observed in the upper respiratory tract samples from the COVID-19 positive group compared to the COVID-19 negative group. Moreover, the Candida albicans strains isolated from COVID-19 positive group exhibited impaired secretion of aspartyl proteinases. CONCLUSION COVID-19 positive patients demonstrate a notable increase in the abundance of Candida albicans, along with a decrease in the levels of aspartyl proteinases, indicating the alteration of microbiota composition of upper respiratory tract.
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Affiliation(s)
- Xilong Zhang
- Department of Laboratory Medicine, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, 160 Pujian Road, Shanghai, 200127, China
- College of Health Science and Technology, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Nadira Nurxat
- Department of Laboratory Medicine, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, 160 Pujian Road, Shanghai, 200127, China
| | - Jueraiti Aili
- College of Health Science and Technology, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Yakupu Yasen
- College of Health Science and Technology, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Qichen Wang
- Department of Laboratory Medicine, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, 160 Pujian Road, Shanghai, 200127, China
| | - Qian Liu
- Department of Laboratory Medicine, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, 160 Pujian Road, Shanghai, 200127, China.
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Yang J, Xu Z, Yu L, Wang B, Hu R, Tang J, Lv J, Xiao H, Tan X, Wang G, Li JX, Liu Y, Shao PL, Zhang B. Organic Fluorophores with Large Stokes Shift for the Visualization of Rapid Protein and Nucleic Acid Assays. Angew Chem Int Ed Engl 2024; 63:e202318800. [PMID: 38443316 DOI: 10.1002/anie.202318800] [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: 12/07/2023] [Revised: 03/05/2024] [Accepted: 03/05/2024] [Indexed: 03/07/2024]
Abstract
Organic small-molecule fluorophores, characterized by flexible chemical structure and adjustable optical performance, have shown tremendous potential in biosensing. However, classical organic fluorophore motifs feature large overlap between excitation and emission spectra, leading to the requirement of advanced optical set up to filter desired signal, which limits their application in scenarios with simple settings. Here, a series of wavelength-tunable small-molecule fluorescent dyes (PTs) bearing simple organic moieties have been developed, which exhibit Stokes shift up to 262 nm, molar extinction coefficients ranged 30,000-100,000 M-1 cm-1, with quantum yields up to 54.8 %. Furthermore, these dyes were formulated into fluorescent nanoparticles (PT-NPs), and applied in lateral flow assay (LFA). Consequently, limit of detection for SARS-CoV-2 nucleocapsid protein reached 20 fM with naked eye, a 100-fold improvement in sensitivity compared to the pM detection level for colloidal gold-based LFA. Besides, combined with loop-mediated isothermal amplification (LAMP), the LFA system achieved the visualization of single copy level nucleic acid detection for monkeypox (Mpox).
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Affiliation(s)
- Jingkai Yang
- Guangdong Provincial Key Laboratory of Advanced Biomaterials, Department of Biomedical Engineering, Southern University of Science and Technology, 1088 Xueyuan Road, Shenzhen, 518055, China
| | - Ziyi Xu
- Guangdong Provincial Key Laboratory of Advanced Biomaterials, Department of Biomedical Engineering, Southern University of Science and Technology, 1088 Xueyuan Road, Shenzhen, 518055, China
| | - Le Yu
- Key Laboratory of Synthetic and Nature Molecule Chemistry of Ministry of Education, Department of Chemistry & Materials Science, Northwest University. Xi'an, Xi An Shi, 710127, China
| | - Bingyun Wang
- Guangdong Provincial Key Laboratory of Advanced Biomaterials, Department of Biomedical Engineering, Southern University of Science and Technology, 1088 Xueyuan Road, Shenzhen, 518055, China
| | - Ruibin Hu
- Guangdong Provincial Key Laboratory of Advanced Biomaterials, Department of Biomedical Engineering, Southern University of Science and Technology, 1088 Xueyuan Road, Shenzhen, 518055, China
| | - Jiahu Tang
- Guangdong Provincial Key Laboratory of Advanced Biomaterials, Department of Biomedical Engineering, Southern University of Science and Technology, 1088 Xueyuan Road, Shenzhen, 518055, China
| | - Jiahui Lv
- Guangdong Provincial Key Laboratory of Advanced Biomaterials, Department of Biomedical Engineering, Southern University of Science and Technology, 1088 Xueyuan Road, Shenzhen, 518055, China
| | - Hongjun Xiao
- Guangdong Provincial Key Laboratory of Advanced Biomaterials, Department of Biomedical Engineering, Southern University of Science and Technology, 1088 Xueyuan Road, Shenzhen, 518055, China
| | - Xuan Tan
- Guangdong Provincial Key Laboratory of Advanced Biomaterials, Department of Biomedical Engineering, Southern University of Science and Technology, 1088 Xueyuan Road, Shenzhen, 518055, China
| | - Guanghui Wang
- Guangdong Provincial Key Laboratory of Advanced Biomaterials, Department of Biomedical Engineering, Southern University of Science and Technology, 1088 Xueyuan Road, Shenzhen, 518055, China
| | - Jia-Xin Li
- Key Laboratory of Molecular Target & Clinical Pharmacology and the State Key Laboratory of Respiratory Disease, School of Pharmaceutical Sciences & the Fifth Affiliated Hospital, Guangzhou Medical University, Guangzhou, 511436, China
| | - Ying Liu
- Guangdong Provincial Key Laboratory of Advanced Biomaterials, Department of Biomedical Engineering, Southern University of Science and Technology, 1088 Xueyuan Road, Shenzhen, 518055, China
| | - Pan-Lin Shao
- Key Laboratory of Molecular Target & Clinical Pharmacology and the State Key Laboratory of Respiratory Disease, School of Pharmaceutical Sciences & the Fifth Affiliated Hospital, Guangzhou Medical University, Guangzhou, 511436, China
| | - Bo Zhang
- Guangdong Provincial Key Laboratory of Advanced Biomaterials, Department of Biomedical Engineering, Southern University of Science and Technology, 1088 Xueyuan Road, Shenzhen, 518055, China
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Kang S, Choi P, Maile-Moskowitz A, Brown CL, Gonzalez RA, Pruden A, Vikesland PJ. Highly Multiplexed Reverse-Transcription Loop-Mediated Isothermal Amplification and Nanopore Sequencing (LAMPore) for Wastewater-Based Surveillance. ACS ES&T WATER 2024; 4:1629-1636. [PMID: 38633369 PMCID: PMC11019537 DOI: 10.1021/acsestwater.3c00690] [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: 11/02/2023] [Revised: 02/16/2024] [Accepted: 02/16/2024] [Indexed: 04/19/2024]
Abstract
Wastewater-based surveillance (WBS) has gained attention as a strategy to monitor and provide an early warning for disease outbreaks. Here, we applied an isothermal gene amplification technique, reverse-transcription loop-mediated isothermal amplification (RT-LAMP), coupled with nanopore sequencing (LAMPore) as a means to detect SARS-CoV-2. Specifically, we combined barcoding using both an RT-LAMP primer and the nanopore rapid barcoding kit to achieve highly multiplexed detection of SARS-CoV-2 in wastewater. RT-LAMP targeting the SARS-CoV-2 N region was conducted on 96 reactions including wastewater RNA extracts and positive and no-target controls. The resulting amplicons were pooled and subjected to nanopore sequencing, followed by demultiplexing based on barcodes that differentiate the source of each SARS-CoV-2 N amplicon derived from the 96 RT-LAMP products. The criteria developed and applied to establish whether SARS-CoV-2 was detected by the LAMPore assay indicated high consistency with polymerase chain reaction-based detection of the SARS-CoV-2 N gene, with a sensitivity of 89% and a specificity of 83%. We further profiled sequence variations on the SARS-CoV-2 N amplicons, revealing a number of mutations on a sample collected after viral variants had emerged. The results demonstrate the potential of the LAMPore assay to facilitate WBS for SARS-CoV-2 and the emergence of viral variants in wastewater.
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Affiliation(s)
- Seju Kang
- Department
of Civil and Environmental Engineering, Virginia Tech, Blacksburg, Virginia 24061, United States
- Virginia
Tech Institute of Critical Technology and Applied Science (ICTAS),
Sustainable Nanotechnology Center (VTSuN), Blacksburg, Virginia 24061, United States
| | - Petra Choi
- Department
of Civil and Environmental Engineering, Virginia Tech, Blacksburg, Virginia 24061, United States
- Virginia
Tech Institute of Critical Technology and Applied Science (ICTAS),
Sustainable Nanotechnology Center (VTSuN), Blacksburg, Virginia 24061, United States
| | - Ayella Maile-Moskowitz
- Department
of Civil and Environmental Engineering, Virginia Tech, Blacksburg, Virginia 24061, United States
- Virginia
Tech Institute of Critical Technology and Applied Science (ICTAS),
Sustainable Nanotechnology Center (VTSuN), Blacksburg, Virginia 24061, United States
| | - Connor L. Brown
- Department
of Genetics, Bioinformatics, and Computational Biology, Blacksburg, Virginia 24061, United States
| | - Raul A. Gonzalez
- Hampton
Roads Sanitation District, Virginia Beach ,Virginia23455, United States
| | - Amy Pruden
- Department
of Civil and Environmental Engineering, Virginia Tech, Blacksburg, Virginia 24061, United States
- Virginia
Tech Institute of Critical Technology and Applied Science (ICTAS),
Sustainable Nanotechnology Center (VTSuN), Blacksburg, Virginia 24061, United States
| | - Peter J. Vikesland
- Department
of Civil and Environmental Engineering, Virginia Tech, Blacksburg, Virginia 24061, United States
- Virginia
Tech Institute of Critical Technology and Applied Science (ICTAS),
Sustainable Nanotechnology Center (VTSuN), Blacksburg, Virginia 24061, United States
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37
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Hannula L, Kuivanen S, Lasham J, Kant R, Kareinen L, Bogacheva M, Strandin T, Sironen T, Hepojoki J, Sharma V, Saviranta P, Kipar A, Vapalahti O, Huiskonen JT, Rissanen I. Nanobody engineering for SARS-CoV-2 neutralization and detection. Microbiol Spectr 2024; 12:e0419922. [PMID: 38363137 PMCID: PMC10986514 DOI: 10.1128/spectrum.04199-22] [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: 10/17/2022] [Accepted: 01/03/2024] [Indexed: 02/17/2024] Open
Abstract
In response to the ongoing COVID-19 pandemic, the quest for coronavirus inhibitors has inspired research on a variety of small proteins beyond conventional antibodies, including robust single-domain antibody fragments, i.e., "nanobodies." Here, we explore the potential of nanobody engineering in the development of antivirals and diagnostic tools. Through fusion of nanobody domains that target distinct binding sites, we engineered multimodular nanobody constructs that neutralize wild-type SARS-CoV-2 and the Alpha and Delta variants at high potency, with IC50 values as low as 50 pM. Despite simultaneous binding to distinct epitopes, Beta and Omicron variants were more resistant to neutralization by the multimodular nanobodies, which highlights the importance of accounting for antigenic drift in the design of biologics. To further explore the applications of nanobody engineering in outbreak management, we present an assay based on fusions of nanobodies with fragments of NanoLuc luciferase that can detect sub-nanomolar quantities of the SARS-CoV-2 spike protein in a single step. Our work showcases the potential of nanobody engineering to combat emerging infectious diseases. IMPORTANCE Nanobodies, small protein binders derived from the camelid antibody, are highly potent inhibitors of respiratory viruses that offer several advantages over conventional antibodies as candidates for specific therapies, including high stability and low production costs. In this work, we leverage the unique properties of nanobodies and apply them as building blocks for new therapeutic and diagnostic tools. We report ultra-potent SARS-CoV-2 inhibition by engineered nanobodies comprising multiple modules in structure-guided combinations and develop nanobodies that carry signal molecules, allowing rapid detection of the SARS-CoV-2 spike protein. Our results highlight the potential of engineered nanobodies in the development of effective countermeasures, both therapeutic and diagnostic, to manage outbreaks of emerging viruses.
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Affiliation(s)
- Liina Hannula
- Institute of Biotechnology, Helsinki Institute of Life Science (HiLIFE), University of Helsinki, Helsinki, Finland
| | - Suvi Kuivanen
- Department of Virology, Medicum, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Jonathan Lasham
- Department of Physics, University of Helsinki, Helsinki, Finland
| | - Ravi Kant
- Department of Virology, Medicum, Faculty of Medicine, University of Helsinki, Helsinki, Finland
- Department of Veterinary Biosciences, University of Helsinki, Helsinki, Finland
- Department of Tropical Parasitology, Institute of Maritime and Tropical Medicine, Medical University of Gdansk, Gdynia, Poland
| | - Lauri Kareinen
- Department of Virology, Medicum, Faculty of Medicine, University of Helsinki, Helsinki, Finland
- Department of Veterinary Biosciences, University of Helsinki, Helsinki, Finland
| | - Mariia Bogacheva
- Department of Virology, Medicum, Faculty of Medicine, University of Helsinki, Helsinki, Finland
- Institute for Molecular Medicine Finland (FIMM), Helsinki Institute of Life Sciences (HiLIFE), University of Helsinki, Helsinki, Finland
| | - Tomas Strandin
- Department of Virology, Medicum, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Tarja Sironen
- Department of Virology, Medicum, Faculty of Medicine, University of Helsinki, Helsinki, Finland
- Department of Veterinary Biosciences, University of Helsinki, Helsinki, Finland
| | - Jussi Hepojoki
- Department of Virology, Medicum, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Vivek Sharma
- Institute of Biotechnology, Helsinki Institute of Life Science (HiLIFE), University of Helsinki, Helsinki, Finland
- Department of Physics, University of Helsinki, Helsinki, Finland
| | - Petri Saviranta
- VTT Technical Research Centre of Finland Ltd., Espoo, Finland
| | - Anja Kipar
- Department of Veterinary Biosciences, University of Helsinki, Helsinki, Finland
- Laboratory for Animal Model Pathology, Institute of Veterinary Pathology, Vetsuisse Faculty, University of Zurich, Zurich, Switzerland
- Department of Infection Biology and Microbiomes, Institute of Infection, Veterinary and Ecological Sciences, University of Liverpool, Liverpool, United Kingdom
| | - Olli Vapalahti
- Department of Virology, Medicum, Faculty of Medicine, University of Helsinki, Helsinki, Finland
- Department of Veterinary Biosciences, University of Helsinki, Helsinki, Finland
- HUSLAB, Helsinki University Hospital, Helsinki, Finland
| | - Juha T. Huiskonen
- Institute of Biotechnology, Helsinki Institute of Life Science (HiLIFE), University of Helsinki, Helsinki, Finland
| | - Ilona Rissanen
- Institute of Biotechnology, Helsinki Institute of Life Science (HiLIFE), University of Helsinki, Helsinki, Finland
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Teng O, Quek AML, Nguyen TM, Wang S, Ng IXQ, Fragata L, Mohd-Abu-Bucker FB, Tambyah PA, Seet RCS. Biomarkers of early SARS-CoV-2 infection before the onset of respiratory symptoms. Clin Microbiol Infect 2024; 30:540-547. [PMID: 38160754 DOI: 10.1016/j.cmi.2023.12.024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2023] [Revised: 12/11/2023] [Accepted: 12/24/2023] [Indexed: 01/03/2024]
Abstract
OBJECTIVES Currently, limited data exist regarding the pathological changes occurring during the incubation phase of SARS-CoV-2 infection. We utilized proteomic analysis to explore changes in the circulatory host response in individuals with SARS-CoV-2 infection before the onset of symptoms. METHODS Participants were individuals from a randomized clinical trial of prophylaxis for COVID-19 in a workers' dormitory. Proteomic signatures of blood samples collected within 7 days before symptom onset (incubation group) were compared with those collected >21 days (non-incubation group) to derive candidate biomarkers of incubation. Candidate biomarkers were assessed by comparing levels in the incubation group with both infected individuals (positive controls) and non-infected individuals (negative controls). RESULTS The study included men (mean age 34.2 years and standard deviation 7.1) who were divided into three groups: an incubation group consisting of 44 men, and two control groups-positive (n = 56) and negative (n = 67) controls. Through proteomic analysis, we identified 49 proteins that, upon pathway analyses, indicated an upregulation of the renin-angiotensin and innate immune systems during the virus incubation period. Biomarker analyses revealed increased concentrations of plasma angiotensin II (mean 731 vs. 139 pg/mL), angiotensin (1-7) (302 vs. 9 pg/mL), CXCL10 (423 vs. 85 pg/mL), CXCL11 (82.7 vs. 32.1 pg/mL), interferon-gamma (0.49 vs. 0.20 pg/mL), legumain (914 vs. 743 pg/mL), galectin-9 (1443 vs. 836 pg/mL), and tumour necrosis factor (20.3 vs. 17.0 pg/mL) during virus incubation compared with non-infected controls (all p < 0.05). Plasma angiotensin (1-7) exhibited a significant increase before the onset of symptoms when compared with uninfected controls (area under the curve 0.99, sensitivity 0.97, and specificity 0.99). DISCUSSION Angiotensin (1-7) could play a crucial role in the progression of symptomatic COVID-19 infection, and its assessment could help identify individuals who would benefit from enhanced monitoring and early antiviral intervention.
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Affiliation(s)
- Ooiean Teng
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Amy May Lin Quek
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore; Division of Neurology, Department of Medicine, National University Hospital, Singapore, Singapore
| | - Tuong Minh Nguyen
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Suqing Wang
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Isabel Xue Qi Ng
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Lorivie Fragata
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | | | - Paul Anantharajah Tambyah
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore; Infectious Diseases Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Raymond Chee Seong Seet
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore; Division of Neurology, Department of Medicine, National University Hospital, Singapore, Singapore; Healthy Longevity Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
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Lintala A, Vapalahti O, Nousiainen A, Kantele A, Hepojoki J. Whole Blood as a Sample Matrix in Homogeneous Time-Resolved Assay-Förster Resonance Energy Transfer-Based Antibody Detection. Diagnostics (Basel) 2024; 14:720. [PMID: 38611633 PMCID: PMC11011549 DOI: 10.3390/diagnostics14070720] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2024] [Revised: 03/22/2024] [Accepted: 03/27/2024] [Indexed: 04/14/2024] Open
Abstract
The protein-L-utilizing Förster resonance energy transfer (LFRET) assay enables mix-and-read antibody detection, as demonstrated for sera from patients with, e.g., severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), Zika virus, and orthohantavirus infections. In this study, we compared paired serum and whole blood (WB) samples of COVID-19 patients and SARS-CoV-2 vaccine recipients. We found that LFRET also detects specific antibodies in WB samples. In 44 serum-WB pairs from patients with laboratory-confirmed COVID-19, LFRET showed a strong correlation between the sample materials. By analyzing 89 additional WB samples, totaling 133 WB samples, we found that LFRET results were moderately correlated with enzyme-linked immunosorbent assay results for samples collected 2 to 14 months after receiving COVID-19 diagnosis. However, the correlation decreased for samples >14 months after receiving a diagnosis. When comparing the WB LFRET results to neutralizing antibody titers, a strong correlation emerged for samples collected 1 to 14 months after receiving a diagnosis. This study also highlights the versatility of LFRET in detecting antibodies directly from WB samples and suggests that it could be employed for rapidly assessing antibody responses to infectious agents or vaccines.
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Affiliation(s)
- Annika Lintala
- Department of Virology, Faculty of Medicine, Medicum, University of Helsinki, 00290 Helsinki, Finland
| | - Olli Vapalahti
- Department of Virology, Faculty of Medicine, Medicum, University of Helsinki, 00290 Helsinki, Finland
- Department of Veterinary Biosciences, Faculty of Veterinary Medicine, University of Helsinki, 00014 Helsinki, Finland
- Helsinki University Hospital Diagnostic Center, 00029 Helsinki, Finland
| | - Arttu Nousiainen
- Human Microbiome Research Program, Faculty of Medicine, University of Helsinki, 00014 Helsinki, Finland
- Meilahti Infectious Diseases and Vaccine Research Center, MeiVac, Department of Infectious Diseases, University of Helsinki and Helsinki University Hospital, 00029 Helsinki, Finland
| | - Anu Kantele
- Human Microbiome Research Program, Faculty of Medicine, University of Helsinki, 00014 Helsinki, Finland
- Meilahti Infectious Diseases and Vaccine Research Center, MeiVac, Department of Infectious Diseases, University of Helsinki and Helsinki University Hospital, 00029 Helsinki, Finland
| | - Jussi Hepojoki
- Department of Virology, Faculty of Medicine, Medicum, University of Helsinki, 00290 Helsinki, Finland
- Vetsuisse Faculty, Institute of Veterinary Pathology, University of Zürich, 8057 Zürich, Switzerland
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40
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Chen J, Ho WKH, Yin B, Zhang Q, Li C, Yan J, Huang Y, Hao J, Yi C, Zhang Y, Wong SHD, Yang M. Magnetic-responsive upconversion luminescence resonance energy transfer (LRET) biosensor for ultrasensitive detection of SARS-CoV-2 spike protein. Biosens Bioelectron 2024; 248:115969. [PMID: 38154329 DOI: 10.1016/j.bios.2023.115969] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2023] [Revised: 12/08/2023] [Accepted: 12/22/2023] [Indexed: 12/30/2023]
Abstract
Upconversion nanoparticles (UCNPs) are ideal donors for luminescence resonance energy transfer (LRET)-based biosensors due to their excellent upconversion luminescence properties. However, the relatively large size of antibodies and proteins limits the application of UCNPs-based LRET biosensors in protein detection because the large steric hindrance of proteins leads to low energy transfer efficiency between UCNPs and receptors. Herein, we developed a magnetic responsive UCNPs-based LRET biosensor to control the coupling distance between antibody-functionalized UCNPs (Ab-UCNPs) as donors and antibody-PEG linker-magnetic gold nanoparticles (Ab-PEG-MGNs) as acceptors for ultrasensitive and highly selective detection of SARS-CoV-2 spike proteins. Our results showed that this platform reversibly shortened the coupling distance between UCNPs and MGNs and enhanced the LRET signal with a 10-fold increase in the limit of detection (LOD) from 20.6 pg/mL without magnetic modulation to 2.1 pg/mL with magnetic modulation within 1 h. The finite-difference time-domain (FDTD) simulation with cyclic distance change confirmed the distance-dependent LRET efficiency under magnetic modulation, which supported the experimental results. Moreover, the applications of this magnetic-responsive UCNP-based LRET biosensor could be extended to other large-size biomolecule detection.
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Affiliation(s)
- Jiareng Chen
- Department of Biomedical Engineering, The Hong Kong Polytechnic University, 999077, Hong Kong, China
| | - Willis Kwun Hei Ho
- Department of Biomedical Engineering, The Hong Kong Polytechnic University, 999077, Hong Kong, China
| | - Bohan Yin
- Department of Biomedical Engineering, The Hong Kong Polytechnic University, 999077, Hong Kong, China
| | - Qin Zhang
- Department of Biomedical Engineering, The Hong Kong Polytechnic University, 999077, Hong Kong, China
| | - Chuanqi Li
- Department of Biomedical Engineering, The Hong Kong Polytechnic University, 999077, Hong Kong, China
| | - Jiaxiang Yan
- Department of Biomedical Engineering, The Hong Kong Polytechnic University, 999077, Hong Kong, China
| | - Yingying Huang
- Department of Biomedical Engineering, The Hong Kong Polytechnic University, 999077, Hong Kong, China
| | - Jianhua Hao
- Department of Applied Physics, The Hong Kong Polytechnic University, 999077, Hong Kong, China
| | - Changqing Yi
- Key Laboratory of Sensing Technology and Biomedical Instruments Guangdong, School of Biomedical Engineering, Sun Yat-Sen University, Guangzhou, 510006, China
| | - Yu Zhang
- Department of Mechanical and Automotive Engineering, Royal Melbourne Institute of Technology, Melbourne, VIC, 3000, Australia
| | - Siu Hong Dexter Wong
- Department of Biomedical Engineering, The Hong Kong Polytechnic University, 999077, Hong Kong, China.
| | - Mo Yang
- Department of Biomedical Engineering, The Hong Kong Polytechnic University, 999077, Hong Kong, China.
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Gilmour S, Sapounas S, Drakopoulos K, Jaillet P, Magiorkinis G, Trichakis N. On the impact of mass screening for SARS-CoV-2 through self-testing in Greece. Front Public Health 2024; 12:1352238. [PMID: 38510354 PMCID: PMC10950936 DOI: 10.3389/fpubh.2024.1352238] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2023] [Accepted: 02/21/2024] [Indexed: 03/22/2024] Open
Abstract
Background Screening programs that pre-emptively and routinely test population groups for disease at a massive scale were first implemented during the COVID-19 pandemic in a handful of countries. One of these countries was Greece, which implemented a mass self-testing program during 2021. In contrast to most other non-pharmaceutical interventions (NPIs), mass self-testing programs are particularly attractive for their relatively small financial and social burden, and it is therefore important to understand their effectiveness to inform policy makers and public health officials responding to future pandemics. This study aimed to estimate the number of deaths and hospitalizations averted by the program implemented in Greece and evaluate the impact of several operational decisions. Methods Granular data from the mass self-testing program deployed by the Greek government between April and December 2021 were obtained. The data were used to fit a novel compartmental model that was developed to describe the dynamics of the COVID-19 pandemic in Greece in the presence of self-testing. The fitted model provided estimates on the effectiveness of the program in averting deaths and hospitalizations. Sensitivity analyses were used to evaluate the impact of operational decisions, including the scale of the program, targeting of sub-populations, and sensitivity (i.e., true positive rate) of tests. Results Conservative estimates show that the program reduced the reproduction number by 4%, hospitalizations by 25%, and deaths by 20%, translating into approximately 20,000 averted hospitalizations and 2,000 averted deaths in Greece between April and December 2021. Conclusion Mass self-testing programs are efficient NPIs with minimal social and financial burden; therefore, they are invaluable tools to be considered in pandemic preparedness and response.
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Affiliation(s)
- Samuel Gilmour
- Operations Research Center, Massachusetts Institute of Technology, Cambridge, MA, United States
| | | | - Kimon Drakopoulos
- Department of Data Sciences and Operations, Marshall School of Business, University of Southern California, Los Angeles, CA, United States
| | - Patrick Jaillet
- Operations Research Center, Massachusetts Institute of Technology, Cambridge, MA, United States
| | - Gkikas Magiorkinis
- Department of Hygiene, Epidemiology and Medical Statistics, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece
| | - Nikolaos Trichakis
- Operations Research Center, Massachusetts Institute of Technology, Cambridge, MA, United States
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Vasconcelos LDCM, Leony LM, Camelier AA, Meireles AC, Oliveira Júnior ALFD, Bandeira AC, Macedo YSF, Duarte AO, Van Voorhis W, Siqueira ICD, Santos FLN. Usefulness of receptor binding domain protein-based serodiagnosis of COVID-19. IJID REGIONS 2024; 10:1-8. [PMID: 38045864 PMCID: PMC10687696 DOI: 10.1016/j.ijregi.2023.11.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/11/2023] [Revised: 10/31/2023] [Accepted: 11/05/2023] [Indexed: 12/05/2023]
Abstract
Objectives This study evaluated the performance of recombinant receptor binding domain (RBD) protein-based enzyme-linked immunosorbent assays (RBD-ELISAs) for detecting anti-SARS-CoV-2 immunoglobulin (Ig) G and IgM antibodies. Methods In this study, 705 sera from SARS-CoV-2-infected individuals and 315 sera from healthy individuals were analyzed. Results The RBD-ELISA IgG exhibited high specificity (99.1%) and moderate sensitivity (48.0%), with an overall diagnostic accuracy of 73.5%. RBD-ELISA IgM demonstrated specificity at 94.6% and sensitivity at 51.1%, with an accuracy of 72.8%. Both assays displayed improved performance when analyzing samples collected 15-21 days post-symptom onset, achieving sensitivity and accuracy exceeding 88% and 90%, respectively. Combining RBD-ELISA IgG and IgM in parallel analysis enhanced sensitivity to 98.6% and accuracy to 96.2%. Comparing these RBD-ELISAs with commercially available tests, the study found overlapping sensitivity and similar specificity values. Notably, the combined RBD-ELISA IgG and IgM showed superior performance. Cross-reactivity analysis revealed low false-positive rates (4.4% for IgG, 3.7% for IgM), primarily with viral infections. Conclusion This research underscores the potential of RBD-based ELISAs for COVID-19 diagnosis, especially when assessing samples collected 15-21 days post-symptom onset and utilizing a parallel testing approach. The RBD protein's immunogenicity and specificity make it a valuable tool for serodiagnosis, offering an alternative to polymerase chain reaction-based methods, particularly in resource-limited settings.
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Affiliation(s)
| | - Leonardo Maia Leony
- Advanced Public Health Laboratory, Gonçalo Moniz Institute (IGM), Oswaldo Cruz Foundation (FIOCRUZ-RJ), Salvador, Brazil
| | - Aquiles Assunção Camelier
- Aliança D'Or Hospital, Salvador, Brazil
- Bahia School of Medicine and Public Health, Salvador, Brazil
- State University of Bahia, Salvador, Brazil
| | | | | | | | - Yasmin Santos Freitas Macedo
- Laboratory of Experimental Pathology, Institute Gonçalo Moniz, Oswaldo Cruz Foundation (FIOCRUZ-BA), Salvador, Brazil
| | - Alan Oliveira Duarte
- Laboratory of Experimental Pathology, Institute Gonçalo Moniz, Oswaldo Cruz Foundation (FIOCRUZ-BA), Salvador, Brazil
| | | | - Isadora Cristina de Siqueira
- Laboratory of Experimental Pathology, Institute Gonçalo Moniz, Oswaldo Cruz Foundation (FIOCRUZ-BA), Salvador, Brazil
- Integrated Translational Program in Chagas Disease from FIOCRUZ (Fio-Chagas), Oswaldo Cruz Foundation (FIOCRUZ-RJ), Rio de Janeiro, Brazil
| | - Fred Luciano Neves Santos
- Advanced Public Health Laboratory, Gonçalo Moniz Institute (IGM), Oswaldo Cruz Foundation (FIOCRUZ-RJ), Salvador, Brazil
- Integrated Translational Program in Chagas Disease from FIOCRUZ (Fio-Chagas), Oswaldo Cruz Foundation (FIOCRUZ-RJ), Rio de Janeiro, Brazil
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Vijayakumar A, Kim JH. Ginseng and ginsenosides on cardiovascular and pulmonary diseases; Pharmacological potentials for the coronavirus (COVID-19). J Ginseng Res 2024; 48:113-121. [PMID: 38465214 PMCID: PMC10920003 DOI: 10.1016/j.jgr.2023.10.002] [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: 07/24/2023] [Revised: 09/20/2023] [Accepted: 10/26/2023] [Indexed: 03/12/2024] Open
Abstract
Since its outbreak in late 2019, the Coronavirus disease 2019 (COVID-19) pandemic has profoundly caused global morbidity and deaths. The COVID-19 pandemic caused by Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2) has major complications in cardiovascular and pulmonary system. The increased rate of mortality is due to delayed detection of certain biomarkers that are crucial in the development of disease. Furthermore, certain proteins and enzymes in cellular signaling pathways play an important role in replication of SARS-CoV-2. Most cases are mild to moderate symptoms, however severe cases of COVID-19 leads to death. Detecting the level of biomarkers such as C-reactive protein, cardiac troponin, creatine kinase, creatine kinase-MB, procalcitonin and Matrix metalloproteinases helps in early detection of the severity of disease. Similarly, through downregulating Renin-angiotensin system, interleukin, Mitogen-activated protein kinases and Phosphoinositide 3-kinases pathways, COVID-19 can be effectively controlled and mortality could be prevented. Ginseng and ginsenosides possess therapeutic potential in cardiac and pulmonary complications, there are several studies performed in which they have suppressed these biomarkers and downregulated the pathways, thereby inhibiting the further spread of disease. Supplementation with ginseng or ginsenoside could act on multiple pathways to reduce the level of biomarkers significantly and alleviate cardiac and pulmonary damage. Therefore, this review summarizes the potential of ginseng extract and ginsenosides in controlling the cardiovascular and pulmonary diseases by COVID-19.
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Affiliation(s)
- Ajay Vijayakumar
- College of Veterinary Medicine, Biosafety Research Institute, Chonbuk National University, Iksan-city, Republic of Korea
| | - Jong-Hoon Kim
- College of Veterinary Medicine, Biosafety Research Institute, Chonbuk National University, Iksan-city, Republic of Korea
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44
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Garg A, Hawks S, Pan J, Wang W, Duggal N, Marr LC, Vikesland P, Zhou W. Machine learning-driven SERS fingerprinting of disintegrated viral components for rapid detection of SARS-CoV-2 in environmental dust. Biosens Bioelectron 2024; 247:115946. [PMID: 38141443 DOI: 10.1016/j.bios.2023.115946] [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: 09/08/2023] [Revised: 11/27/2023] [Accepted: 12/19/2023] [Indexed: 12/25/2023]
Abstract
Surveillance of airborne viruses in crowded indoor spaces is crucial for managing outbreaks, as highlighted by the SARS-CoV-2 pandemic. However, the rapid and on-site detection of fast-mutating viruses, such as SARS-CoV-2, in complex environmental backgrounds remains challenging. Our study introduces a machine learning (ML)-driven surface-enhanced Raman spectroscopy (SERS) approach for detecting viruses within environmental dust matrices. By decomposing intact virions into individual structural components via a Raman-background-free lysis protocol and concentrating them into nanogap SERS hotspots, we significantly enhance the SERS signal intensity and fingerprint information density from viral structural components. Utilizing Principal Component Analysis (PCA), we establish a robust connection between the SERS data of these structural components and their biological sequences, laying a solid foundation for virus detection through SERS. Furthermore, we demonstrate reliable quantitative detection of SARS-CoV-2 using identified SARS-CoV-2 peaks at concentrations down to 102 pfu/ml through Gaussian Process Regression (GPR) and a digital SERS methodology. Finally, applying a Principal Component Analysis-Linear Discriminant Analysis (PCA-LDA) algorithm, we identify SARS-CoV-2, influenza A virus, and Zika virus within an environmental dust background with over 86% accuracy. Therefore, our ML-driven SERS approach holds promise for rapid environmental virus monitoring to manage future outbreaks.
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Affiliation(s)
- Aditya Garg
- Department of Electrical and Computer Engineering, Virginia Tech, Blacksburg, VA, 24061, United States
| | - Seth Hawks
- Department of Biomedical Sciences and Pathobiology, Virginia Tech, Blacksburg, VA, 24061, United States
| | - Jin Pan
- Department of Civil and Environmental Engineering, Virginia Tech, Blacksburg, VA, 24061, United States
| | - Wei Wang
- Department of Civil and Environmental Engineering, Virginia Tech, Blacksburg, VA, 24061, United States
| | - Nisha Duggal
- Department of Biomedical Sciences and Pathobiology, Virginia Tech, Blacksburg, VA, 24061, United States
| | - Linsey C Marr
- Department of Civil and Environmental Engineering, Virginia Tech, Blacksburg, VA, 24061, United States
| | - Peter Vikesland
- Department of Civil and Environmental Engineering, Virginia Tech, Blacksburg, VA, 24061, United States.
| | - Wei Zhou
- Department of Electrical and Computer Engineering, Virginia Tech, Blacksburg, VA, 24061, United States.
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Matheka C, Kilonzo J, Mbugua E, Munshi Z, Nyasinga J, Gunturu R, Njau A. SARS-CoV-2 Variants Genotyping and Diagnostic Performance of a 2-Genes Detection Assay. J Appl Lab Med 2024; 9:273-283. [PMID: 38321549 DOI: 10.1093/jalm/jfad127] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2023] [Accepted: 10/24/2023] [Indexed: 02/08/2024]
Abstract
BACKGROUND The emergence of the COVID-19 pandemic resulted in the unprecedented expansion of molecular testing technologies. This study aimed at evaluating the performance of the FluoroType® SARS-CoV-2 plus assay for SARS-CoV-2 detection as well as describing the detection of SARS-CoV-2 variants using the FluoroType® SARS-CoV-2 varID Q kit. METHODS The study utilized 679 archived nasopharyngeal samples. Analytical performance and the diagnostic performance of the FluoroType® SARS-CoV-2 plus assay were determined using 320 samples and reference material. Variants identification on the FluoroType® SARS-CoV-2 varID Q assay was performed on 359 samples. The study was approved by the Aga Khan University Hospital Institutional Review Board. RESULTS The FluoroType® SARS-CoV-2 plus assay's limit of detection was verified as 1.2 copies/µL. The repeatability SD and %CV were 2.45 and 9.8% while reproducibility had an SD and %CV of 1.39 and 5.68%, respectively, for the RdRP gene. The positive and negative percent agreement were determined to be 99.4% (95% CI; 98.1%-100%) and 99.4% (95% CI; 98.2%-100%) respectively. In the variants identification, samples from the original wave had no mutations identified while 12.3%, 49%, and more than 90% of the samples during the Alpha, Delta, and Omicron waves, respectively, had detectable mutations. CONCLUSIONS The FluoroType® SARS-CoV-2 plus assay demonstrated analytical performance comparable to the reference method with a diagnostic sensitivity and specificity of >99%. The FluoroType® SARS-CoV-2 varID Q assay achieved rapid detection of circulating variants.
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Affiliation(s)
- Cyrus Matheka
- Department of Pathology, Aga Khan University Hospital Nairobi, Nairobi, Kenya
| | - Joshua Kilonzo
- Department of Pathology, Aga Khan University Hospital Nairobi, Nairobi, Kenya
| | - Ephantus Mbugua
- Department of Pathology, Aga Khan University Hospital Nairobi, Nairobi, Kenya
| | - Zubair Munshi
- Department of Pathology, Aga Khan University Hospital Nairobi, Nairobi, Kenya
| | - Justin Nyasinga
- Department of Pathology, Aga Khan University Hospital Nairobi, Nairobi, Kenya
| | - Revathi Gunturu
- Department of Pathology, Aga Khan University Hospital Nairobi, Nairobi, Kenya
| | - Allan Njau
- Department of Pathology, Aga Khan University Hospital Nairobi, Nairobi, Kenya
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Ganesh PS, Elugoke SE, Lee SH, Kim SY, Ebenso EE. Smart and emerging point of care electrochemical sensors based on nanomaterials for SARS-CoV-2 virus detection: Towards designing a future rapid diagnostic tool. CHEMOSPHERE 2024; 352:141269. [PMID: 38307334 DOI: 10.1016/j.chemosphere.2024.141269] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/20/2023] [Revised: 01/08/2024] [Accepted: 01/18/2024] [Indexed: 02/04/2024]
Abstract
In the recent years, researchers from all over the world have become interested in the fabrication of advanced and innovative electrochemical and/or biosensors for respiratory virus detection with the use of nanotechnology. These fabricated sensors demonstrated a number of benefits, including precision, affordability, accessibility, and miniaturization which makes them a promising test method for point-of-care (PoC) screening for SARS-CoV-2 viral infection. In order to comprehend the principles of electrochemical sensing and the role of various types of sensing interfaces, we comprehensively explored the underlying principles of electroanalytical methods and terminologies related to it in this review. In addition, it is addressed how to fabricate electrochemical sensing devices incorporating nanomaterials as graphene, metal/metal oxides, metal organic frameworks (MOFs), MXenes, quantum dots, and polymers. We took an effort to carefully compile current developments, advantages, drawbacks, possible solutions in nanomaterials based electrochemical sensors.
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Affiliation(s)
- Pattan Siddappa Ganesh
- Interaction Laboratory, Advanced Technology Research Center, Future Convergence Engineering, Korea University of Technology and Education, Cheonan-si, Chungcheongnam-do, 330-708, Republic of Korea.
| | - Saheed Eluwale Elugoke
- Centre for Material Science, College of Science, Engineering and Technology, University of South Africa, Johannesburg 1709, South Africa; Institute for Nanotechnology and Water Sustainability (iNanoWS), College of Science, Engineering and Technology, University of South Africa, Johannesburg 1709, South Africa
| | - Seok-Han Lee
- Interaction Laboratory, Advanced Technology Research Center, Future Convergence Engineering, Korea University of Technology and Education, Cheonan-si, Chungcheongnam-do, 330-708, Republic of Korea
| | - Sang-Youn Kim
- Interaction Laboratory, Advanced Technology Research Center, Future Convergence Engineering, Korea University of Technology and Education, Cheonan-si, Chungcheongnam-do, 330-708, Republic of Korea.
| | - Eno E Ebenso
- Centre for Material Science, College of Science, Engineering and Technology, University of South Africa, Johannesburg 1709, South Africa; Institute for Nanotechnology and Water Sustainability (iNanoWS), College of Science, Engineering and Technology, University of South Africa, Johannesburg 1709, South Africa.
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47
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Li Y, Guan C, Liu C, Li Z, Han G. Disease diagnosis and application analysis of molecularly imprinted polymers (MIPs) in saliva detection. Talanta 2024; 269:125394. [PMID: 37980173 DOI: 10.1016/j.talanta.2023.125394] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2023] [Revised: 10/30/2023] [Accepted: 11/03/2023] [Indexed: 11/20/2023]
Abstract
Saliva has significantly evolved as a diagnostic fluid in recent years, giving a non-invasive alternative to blood analysis. A high protein concentration in saliva is delivered directly from the bloodstream, making it a "human mirror" that reflects the body's physiological state. It plays an essential role in detecting diseases in biomedical and fitness monitoring. Molecularly imprinted polymers (MIPs) are biomimetic materials with custom-designed synthetic recognition sites that imitate biological counterparts renowned for sensitive analyte detection. This paper reviews the progress made in research about MIP biosensors for detecting saliva biomarkers. Specifically, we investigate the link between saliva biomarkers and various diseases, providing detailed insights into the corresponding biosensors. Furthermore, we discuss the principles of molecular imprinting for disease diagnostics and application analysis, including recent advances in integrated MIP-sensor technologies for high-affinity analyte detection in saliva. Notably, these biosensors exhibit high discrimination, allowing for the detection of saliva biomarkers linked explicitly to chronic stress disorders, diabetes, cancer, bacterial or viral-induced illnesses, and exposure to illicit toxic substances or tobacco smoke. Our findings indicate that MIP-based biosensors match and perhaps surpass their counterparts featuring integrated natural antibodies in terms of stability, signal-to-noise ratios, and detection limits. Additionally, we highlight the design of MIP coatings, strategies for synthesizing polymers, and the integration of advanced biodevices. These tailored biodevices, designed to assess various salivary biomarkers, are emerging as promising screening or diagnostic tools for real-time monitoring and self-health management, improving quality of life.
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Affiliation(s)
- Yanan Li
- Department of Oral Geriatrics, Hospital of Stomatology, Jilin University, Changchun, 130021, PR China
| | - Changjun Guan
- School of Electrical and Electronic Engineering, Changchun University of Technology, Changchun, 130012, PR China
| | - Chaoran Liu
- Department of Oral Geriatrics, Hospital of Stomatology, Jilin University, Changchun, 130021, PR China
| | - Ze Li
- Department of Oral Geriatrics, Hospital of Stomatology, Jilin University, Changchun, 130021, PR China
| | - Guanghong Han
- Department of Oral Geriatrics, Hospital of Stomatology, Jilin University, Changchun, 130021, PR China.
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Uppal GK, Poolsup S, Zaripov E, Gu Y, Berezovski MV. Comparative analysis of aptamers binding to SARS-CoV-2 N protein using capillary electrophoresis and bio-layer interferometry. Anal Bioanal Chem 2024; 416:1697-1705. [PMID: 38305861 DOI: 10.1007/s00216-024-05174-3] [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: 11/08/2023] [Revised: 01/12/2024] [Accepted: 01/24/2024] [Indexed: 02/03/2024]
Abstract
Aptamers are increasingly employed in SARS-CoV-2 theragnostics in recent years. Characterization of aptamers, testing affinity and kinetic parameters (e.g., equilibrium dissociation constant (KD), kon, and koff), can be done by several methods and influenced by many factors. This study aims to characterize the binding of aptamers to SARS-CoV-2 nucleocapsid (N) protein using capillary electrophoresis (CE) and bio-layer interferometry (BLI). These two analytical methods differ by how the aptamer binds to its target protein once the aptamer, as a capture ligand, is partitioned in solution (CE) or immobilized on the biosensor (BLI). With CE, the KD values of the N-binding aptamers (tNSP1, tNSP2, and tNSP3) were determined to be 18 ± 4 nM, 45 ± 11 nM, and 32 ± 7 nM, respectively, while the KD measurements by BLI yielded 4.8 ± 0.6, 4.5 ± 0.5, and 2.9 ± 0.3 nM, respectively. CE results showed a higher KD across all aptamers tested. The differences in the steric hindrance and confirmational structures of the aptamers immobilized on the BLI biosensors versus those suspended in the CE sample solution affect the molecular interactions between aptamers and the target proteins. Moreover, the buffer composition including pH and ionic strength can influence the stability of aptamer structures, or aptamer-protein complexes. All these variables affect the binding and calculated KD. In this sense, a KD value alone is not sufficient to make comparisons between aptamers; instead, the entire experimental setup should also be considered. This is particularly important when implementing aptamers in different bioanalytical systems.
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Affiliation(s)
- Gurcharan K Uppal
- Department of Chemistry and Biomolecular Sciences, University of Ottawa, Ottawa, ON, K1N 6N5, Canada
| | - Suttinee Poolsup
- Department of Chemistry and Biomolecular Sciences, University of Ottawa, Ottawa, ON, K1N 6N5, Canada
| | - Emil Zaripov
- Department of Chemistry and Biomolecular Sciences, University of Ottawa, Ottawa, ON, K1N 6N5, Canada
| | - Yuxuan Gu
- Department of Chemistry and Biomolecular Sciences, University of Ottawa, Ottawa, ON, K1N 6N5, Canada
| | - Maxim V Berezovski
- Department of Chemistry and Biomolecular Sciences, University of Ottawa, Ottawa, ON, K1N 6N5, Canada.
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El-Daly MM. Advances and Challenges in SARS-CoV-2 Detection: A Review of Molecular and Serological Technologies. Diagnostics (Basel) 2024; 14:519. [PMID: 38472991 DOI: 10.3390/diagnostics14050519] [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: 01/05/2024] [Revised: 02/20/2024] [Accepted: 02/24/2024] [Indexed: 03/14/2024] Open
Abstract
The urgent need for accurate COVID-19 diagnostics has led to the development of various SARS-CoV-2 detection technologies. Real-time reverse transcriptase polymerase chain reaction (RT-qPCR) remains a reliable viral gene detection technique, while other molecular methods, including nucleic acid amplification techniques (NAATs) and isothermal amplification techniques, provide diverse and effective approaches. Serological assays, detecting antibodies in response to viral infection, are crucial for disease surveillance. Saliva-based immunoassays show promise for surveillance purposes. The efficiency of SARS-CoV-2 antibody detection varies, with IgM indicating recent exposure and IgG offering prolonged detectability. Various rapid tests, including lateral-flow immunoassays, present opportunities for quick diagnosis, but their clinical significance requires validation through further studies. Challenges include variations in specificity and sensitivity among testing platforms and evolving assay sensitivities over time. SARS-CoV-2 antigens, particularly the N and S proteins, play a crucial role in diagnostic methods. Innovative approaches, such as nanozyme-based assays and specific nucleotide aptamers, offer enhanced sensitivity and flexibility. In conclusion, ongoing advancements in SARS-CoV-2 detection methods contribute to the global effort in combating the COVID-19 pandemic.
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Affiliation(s)
- Mai M El-Daly
- Special Infectious Agents Unit-BSL3, King Fahd Medical Research Center, King Abdulaziz University, Jeddah 21589, Saudi Arabia
- Department of Medical Laboratory Sciences, Faculty of Applied Medical Sciences, King Abdulaziz University, Jeddah 21589, Saudi Arabia
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50
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Balakittnen J, Ekanayake Weeramange C, Wallace DF, Duijf PHG, Cristino AS, Hartel G, Barrero RA, Taheri T, Kenny L, Vasani S, Batstone M, Breik O, Punyadeera C. A novel saliva-based miRNA profile to diagnose and predict oral cancer. Int J Oral Sci 2024; 16:14. [PMID: 38368395 PMCID: PMC10874410 DOI: 10.1038/s41368-023-00273-w] [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: 08/09/2023] [Revised: 11/13/2023] [Accepted: 12/25/2023] [Indexed: 02/19/2024] Open
Abstract
Oral cancer (OC) is the most common form of head and neck cancer. Despite the high incidence and unfavourable patient outcomes, currently, there are no biomarkers for the early detection of OC. This study aims to discover, develop, and validate a novel saliva-based microRNA signature for early diagnosis and prediction of OC risk in oral potentially malignant disorders (OPMD). The Cancer Genome Atlas (TCGA) miRNA sequencing data and small RNA sequencing data of saliva samples were used to discover differentially expressed miRNAs. Identified miRNAs were validated in saliva samples of OC (n = 50), OPMD (n = 52), and controls (n = 60) using quantitative real-time PCR. Eight differentially expressed miRNAs (miR-7-5p, miR-10b-5p, miR-182-5p, miR-215-5p, miR-431-5p, miR-486-3p, miR-3614-5p, and miR-4707-3p) were identified in the discovery phase and were validated. The efficiency of our eight-miRNA signature to discriminate OC and controls was: area under curve (AUC): 0.954, sensitivity: 86%, specificity: 90%, positive predictive value (PPV): 87.8% and negative predictive value (NPV): 88.5% whereas between OC and OPMD was: AUC: 0.911, sensitivity: 90%, specificity: 82.7%, PPV: 74.2% and NPV: 89.6%. We have developed a risk probability score to predict the presence or risk of OC in OPMD patients. We established a salivary miRNA signature that can aid in diagnosing and predicting OC, revolutionising the management of patients with OPMD. Together, our results shed new light on the management of OC by salivary miRNAs to the clinical utility of using miRNAs derived from saliva samples.
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Affiliation(s)
- Jaikrishna Balakittnen
- Saliva & Liquid Biopsy Translational Laboratory, Griffith Institute for Drug Discovery, Griffith University, Nathan, QLD, Australia
- Department of Medical Laboratory Sciences, Faculty of Allied Health Sciences, University of Jaffna, Jaffna, Sri Lanka
| | - Chameera Ekanayake Weeramange
- Saliva & Liquid Biopsy Translational Laboratory, Griffith Institute for Drug Discovery, Griffith University, Nathan, QLD, Australia
- Menzies Health Institute, Griffith University, Gold Coast, QLD, Australia
| | - Daniel F Wallace
- School of Biomedical Sciences, Faculty of Health, Queensland University of Technology, Brisbane, QLD, Australia
| | - Pascal H G Duijf
- Centre for Cancer Biology, Clinical and Health Sciences, University of South Australia & SA Pathology, Adelaide, SA, Australia
- Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway
- Department of Medical Genetics, Oslo University Hospital, Oslo, Norway
| | - Alexandre S Cristino
- Griffith Institute for Drug Discovery, Griffith University, Nathan, QLD, Australia
| | - Gunter Hartel
- QIMR Berghofer Medical Research Institute, Statistics Unit, Brisbane, QLD, Australia
- School of Public Health, The University of Queensland, Brisbane, QLD, Australia
- School of Nursing, Queensland University of Technology, Brisbane, QLD, Australia
| | - Roberto A Barrero
- eResearch, Research Infrastructure, Academic Division, Queensland University of Technology, Brisbane, QLD, Australia
| | - Touraj Taheri
- Department of Anatomical Pathology, Royal Brisbane and Women's Hospital, Herston, QLD, Australia
- Faculty of Medicine, The University of Queensland, Brisbane, QLD, Australia
| | - Liz Kenny
- Faculty of Medicine, The University of Queensland, Brisbane, QLD, Australia
- Royal Brisbane and Women's Hospital, Cancer Care Services, Herston, QLD, Australia
| | - Sarju Vasani
- Saliva & Liquid Biopsy Translational Laboratory, Griffith Institute for Drug Discovery, Griffith University, Nathan, QLD, Australia
- Royal Brisbane and Women's Hospital, Cancer Care Services, Herston, QLD, Australia
- Department of Otolaryngology, Royal Brisbane and Women's Hospital, Herston, QLD, Australia
| | - Martin Batstone
- Department of Oral and Maxillofacial Surgery, Royal Brisbane and Women's Hospital, Herston, QLD, Australia
| | - Omar Breik
- Royal Brisbane and Women's Hospital, Cancer Care Services, Herston, QLD, Australia
- Department of Oral and Maxillofacial Surgery, Royal Brisbane and Women's Hospital, Herston, QLD, Australia
| | - Chamindie Punyadeera
- Saliva & Liquid Biopsy Translational Laboratory, Griffith Institute for Drug Discovery, Griffith University, Nathan, QLD, Australia.
- Menzies Health Institute, Griffith University, Gold Coast, QLD, Australia.
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