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Lin M, Li YR, Lan QW, Long LJ, Liu JQ, Chen YW, Cao XJ, Wu GY, Li YP, Guo XG. Evaluation of GeneXpert EV assay for the rapid diagnosis of enteroviral meningitis: a systematic review and meta-analysis. Ann Clin Microbiol Antimicrob 2022; 21:25. [PMID: 35681153 PMCID: PMC9185958 DOI: 10.1186/s12941-022-00517-3] [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: 08/25/2021] [Accepted: 05/26/2022] [Indexed: 11/25/2022] Open
Abstract
Background GeneXpert enterovirus Assay is a PCR-based assay for Enterovirus meningitis diagnosis. However, there is currently no research about the performance of GeneXpert enterovirus assay in the diagnosis of enterovirus meningitis. Thus, a systematic review and meta-analysis is significant on the topic. Methods Embase, Cochrane Library, Web of Science, and PubMed were systematically reviewed with retrieval types. Some criteria were used to filter the studies. Only studies published in English, that made a comparison between GeneXpert enterovirus assay and RT-PCR, and could be formulated in a 2*2 table, were included. The quality of the included studies was evaluated by QUADAS-2. The effect of the GeneXpert enterovirus assay was assessed by the Sensitivity, Specificity, Positive Likelihood Ratio, Negative Likelihood Ratio, Diagnosis Odds Ratio, and summary receiver operating characteristic (SROC) curve. Publication bias and heterogeneity were evaluated by the Deeks' funnel test and Bivariate Box plot respectively. Results 7 studies were recruited in the analysis. The Pooled Sensitivity was 0.96 [95% CI (0.94–0.97)], Pooled Specificity was 0.99 [95% CI (0.98–0.99)], Positive Likelihood Ratio was 130.46 [95% CI (35.79–475.58)], Negative Likelihood Ratio was 0.04 [95% CI (0.02–0.10)], and Diagnostic Odds Ratio was 3648.23 (95% CI [963.99–13,806.72)]. In SROC Curve, Area Under Curve (AUC) was 0.9980, and Q*= 0.9849. In Deeks' funnel test, the P-value was 0.807 (P > 0.05), indicating no publication bias. The Bivariate Box plot indicated no evident heterogeneity. Conclusions The GeneXpert enterovirus assay demonstrated high diagnostic accuracy in diagnosing enterovirus meningitis. Supplementary Information The online version contains supplementary material available at 10.1186/s12941-022-00517-3.
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Affiliation(s)
- Min Lin
- Department of Clinical Laboratory Medicine, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510150, China.,Department of Chinese and Western Medicine in Clinical Medicine, The Clinical School of Chinese and Western Medicine, Guangzhou Medical University, Guangzhou, 511436, China
| | - Yun-Ran Li
- Department of Chinese and Western Medicine in Clinical Medicine, The Clinical School of Chinese and Western Medicine, Guangzhou Medical University, Guangzhou, 511436, China
| | - Qi-Wen Lan
- Department of Medical Imageology, The Second Clinical School of Guangzhou Medical University, Guangzhou, 511436, China
| | - Li-Jun Long
- Department of Medical Laboratory Technology, The KingMed School of Laboratory Medicine, Guangzhou Medical University, Guangzhou, 511436, China
| | - Jia-Qi Liu
- Department of Chinese and Western Medicine in Clinical Medicine, The Clinical School of Chinese and Western Medicine, Guangzhou Medical University, Guangzhou, 511436, China
| | - Ying-Wen Chen
- Department of Chinese and Western Medicine in Clinical Medicine, The Clinical School of Chinese and Western Medicine, Guangzhou Medical University, Guangzhou, 511436, China
| | - Xun-Jie Cao
- Department of Clinical Medicine, The Third Clinical School of Guangzhou Medical University, Guangzhou, 511436, China
| | - Ge-Yuan Wu
- Department of Chinese and Western Medicine in Clinical Medicine, The Clinical School of Chinese and Western Medicine, Guangzhou Medical University, Guangzhou, 511436, China
| | - Ya-Ping Li
- Department of Clinical Medicine, The Second Clinical School of Guangzhou Medical University, Guangzhou, 511436, China
| | - Xu-Guang Guo
- Department of Clinical Laboratory Medicine, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510150, China. .,Department of Clinical Medicine, The Third Clinical School of Guangzhou Medical University, Guangzhou, 511436, China. .,Key Laboratory for Major Obstetric Diseases of Guangdong Province, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510150, China. .,Department of Laboratory Medicine, Key Laboratory of Reproduction and Genetics of Guangdong Higher Education Institutes, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510150, China.
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Yin J, Suo Y, Zou Z, Sun J, Zhang S, Wang B, Xu Y, Darland D, Zhao JX, Mu Y. Integrated microfluidic systems with sample preparation and nucleic acid amplification. LAB ON A CHIP 2019; 19:2769-2785. [PMID: 31365009 PMCID: PMC8876602 DOI: 10.1039/c9lc00389d] [Citation(s) in RCA: 77] [Impact Index Per Article: 15.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/16/2023]
Abstract
Rapid, efficient and accurate nucleic acid molecule detection is important in the screening of diseases and pathogens, yet remains a limiting factor at point of care (POC) treatment. Microfluidic systems are characterized by fast, integrated, miniaturized features which provide an effective platform for qualitative and quantitative detection of nucleic acid molecules. The nucleic acid detection process mainly includes sample preparation and target molecule amplification. Given the advancements in theoretical research and technological innovations to date, nucleic acid extraction and amplification integrated with microfluidic systems has advanced rapidly. The primary goal of this review is to outline current approaches used for nucleic acid detection in the context of microfluidic systems. The secondary goal is to identify new approaches that will help shape future trends at the intersection of nucleic acid detection and microfluidics, particularly with regard to increasing disease and pathogen detection for improved diagnosis and treatment.
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Affiliation(s)
- Juxin Yin
- Research Centre for Analytical Instrumentation, Institute of Cyber-Systems and Control, State Key Laboratory of Industrial Control Technology, Zhejiang University, Hangzhou, 310058, China.
| | - Yuanjie Suo
- Research Centre for Analytical Instrumentation, Institute of Cyber-Systems and Control, State Key Laboratory of Industrial Control Technology, Zhejiang University, Hangzhou, 310058, China.
| | - Zheyu Zou
- Research Centre for Analytical Instrumentation, Institute of Cyber-Systems and Control, State Key Laboratory of Industrial Control Technology, Zhejiang University, Hangzhou, 310058, China.
| | - Jingjing Sun
- Research Centre for Analytical Instrumentation, Institute of Cyber-Systems and Control, State Key Laboratory of Industrial Control Technology, Zhejiang University, Hangzhou, 310058, China.
| | - Shan Zhang
- Research Centre for Analytical Instrumentation, Institute of Cyber-Systems and Control, State Key Laboratory of Industrial Control Technology, Zhejiang University, Hangzhou, 310058, China.
| | - Beng Wang
- Cancer Institute (Key Laboratory of Cancer Prevention and Intervention, National Ministry of Education), The Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, 310009 China and Institute of Translational Medicine, Zhejiang University, Hangzhou, 310029 China
| | - Yawei Xu
- College of Biological and Pharmaceutical Engineering, Jilin Agricultural Science and Technology University, Jilin, 132000 China
| | - Diane Darland
- Department of Biology, University of North Dakota, USA.
| | | | - Ying Mu
- Research Centre for Analytical Instrumentation, Institute of Cyber-Systems and Control, State Key Laboratory of Industrial Control Technology, Zhejiang University, Hangzhou, 310058, China.
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Donatin E, Drancourt M. DNA microarrays for the diagnosis of infectious diseases. Med Mal Infect 2012; 42:453-9. [PMID: 23058632 PMCID: PMC7127767 DOI: 10.1016/j.medmal.2012.07.017] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2012] [Revised: 07/01/2012] [Accepted: 07/29/2012] [Indexed: 11/26/2022]
Abstract
The diagnosis of bacterial infections relies on isolation of the bacterium, which is rarely achieved when needed for patient management. Furthermore, culture is poorly suited to the diagnosis of polymicrobial infections. Finally, a syndromic approach should target both bacteria and viruses causing the same syndrome. The detection of specific DNA sequences in clinical specimen, using DNA microarrays, is an alternative. Microarrays were first used as a diagnostic tool in 1993, to identify a hantavirus associated with an outbreak of acute respiratory diseases. The main advantage of microarrays is multiplexing, enabling exploration of the microbiota and pathogen detection in bacteremia, respiratory infections, and digestive infections: circumstance in which DNA arrays may lack sensitivity and provide false negatives. Enrichment of sampling can increase sensitivity. Furthermore, chips allow typing Streptococcus pneumoniae and detecting resistance in Staphylococcus aureus (MRSA) and Mycobacterium tuberculosis (rifampicin, isoniazid, fluoroquinolones). However, the cost and high technical requirements remain a problem for routine use of this bacterial infection diagnostic technology.
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Affiliation(s)
- E Donatin
- URMITE, UMR CNRS 7278, IRD 198, Inserm 1095, unité des rickettsies, Aix-Marseille université, Marseille cedex, France
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Donatin E, Drancourt M. Diagnostic des infections bactériennes par les puces à ADN. BIO TRIBUNE MAGAZINE 2011. [PMCID: PMC7149027 DOI: 10.1007/s11834-011-0051-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
Le diagnostic des infections bactériennes repose sur l’isolement du pathogène, qui ne peut pas être réalisé dans le temps du soin. Egalement, la culture est mal adaptée au diagnostic des infections polymicrobiennes. Une alternative est la détection de séquences ADN spécifiques dans l’échantillon clinique par les puces à ADN. La première utilisation des puces à ADN en tant qu’outil diagnostic date de 1995. Cette revue porte sur la mise au point de différentes puces à ADN pour la détection des bactéries pathogènes au cours des infections respiratoires, digestives et systémiques. Ces études ont permis de montrer que les puces à ADN sont un outil fiable, rapide et reproductible pour le diagnostic des maladies infectieuses d’origine bactérienne. Le coût et la technicité demeurent deux freins au déploiement en routine de cette technologie pour le diagnostic des infections bactériennes.
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Affiliation(s)
- E. Donatin
- Unité de Recherche sur les Maladies Infectieuses et Tropicales Emergentes, UMR CNRS 6236 IRD 3R198, IFR 48 Institut Hospitalier Universitaire POLMIT, Université de la Méditerranée, Marseille, France
| | - M. Drancourt
- Unité de Recherche sur les Maladies Infectieuses et Tropicales Emergentes, UMR CNRS 6236 IRD 3R198, IFR 48 Institut Hospitalier Universitaire POLMIT, Université de la Méditerranée, Marseille, France
- Faculté de Médecine, Unité des Rickettsies, 27, Boulevard Jean Moulin, cedex 5, France
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