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Xu N, Qu C, Sai L, Wen S, Yang L, Wang S, Yang H, Liu H, Wang G. Evaluating the efficacy of serological testing of clinical specimens collected from patients with suspected brucellosis. PLoS Negl Trop Dis 2023; 17:e0011131. [PMID: 36802393 PMCID: PMC9942959 DOI: 10.1371/journal.pntd.0011131] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2022] [Accepted: 01/30/2023] [Indexed: 02/23/2023] Open
Abstract
BACKGROUND This study aims to evaluate the efficacy of the standard agglutination test (SAT), the Brucellacapt test and enzyme-linked immunosorbent assay (ELISA) in clinical specimens collected from patients with suspected brucellosis. METHODS A prospective study was conducted from December 2020 to December 2021. Brucellosis was diagnosed on the basis of clinical evidence, and confirmed by isolation of Brucella or a four-fold rise in SAT titer. All samples were tested by the SAT, ELISA and the Brucellacapt test. Titers ≥1:100 were considered as SAT positive; ELISA was considered positive when an index greater than 11 was detected, while titers ≥1/160 indicated positivity on the Brucellacapt test. The specificity, sensitivity, and positive (PPVs) and negative predictive values (NPVs) of the three different methods were calculated. RESULTS A total of 149 samples were collected from patients with suspected brucellosis. The sensitivities for the SAT, IgG, and IgM detection were 74.42%, 88.37% and 74.42%, respectively. The specificities were 95.24%, 93.65%, and 88.89%, respectively. The simultaneous measurement of IgG and IgM improved the sensitivity (98.84%) but reduced the specificity (84.13%) compared to each antibody test separately. The Brucellacapt test had excellent specificity (100%) and a high PPV (100%); however, the sensitivity and NPV were 88.37% and 86.30%, respectively. The combination of IgG detection by ELISA and the Brucellacapt test had excellent diagnostic performance, with 98.84% sensitivity and 93.65% specificity. CONCLUSION This study showed that the simultaneous performance of IgG detection by ELISA and the Brucellacapt test has the potential to overcome the current limitations of detection.
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Affiliation(s)
- Nannan Xu
- Department of Infectious Disease, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan Shandong, China
| | - Chunmei Qu
- Department of Infectious Disease, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan Shandong, China
| | - Lintao Sai
- Department of Infectious Disease, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan Shandong, China
| | - Sai Wen
- Department of Infectious Disease, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan Shandong, China
| | - Lulu Yang
- Department of Infectious Disease, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan Shandong, China
| | - Shanshan Wang
- Department of Infectious Disease, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan Shandong, China
| | - Hui Yang
- Department of Infectious Disease, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan Shandong, China
| | - Hui Liu
- Institute of Bacterial Disease, Jinan Center for Disease Control and Prevention, Jinan Shandong, China
- * E-mail: (HL); (GW)
| | - Gang Wang
- Department of Infectious Disease, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan Shandong, China
- * E-mail: (HL); (GW)
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Khoshnood S, Pakzad R, Koupaei M, Shirani M, Araghi A, Irani GM, Moradi M, Pakzad I, Sadeghifard N, Heidary M. Prevalence, diagnosis, and manifestations of brucellosis: A systematic review and meta-analysis. Front Vet Sci 2022; 9:976215. [PMID: 36619963 PMCID: PMC9813401 DOI: 10.3389/fvets.2022.976215] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2022] [Accepted: 11/17/2022] [Indexed: 12/24/2022] Open
Abstract
Objectives Brucellosis is one of the most prevalent zoonotic diseases common between humans and animals. Despite eradication efforts, the burden of the disease is well-known in endemic countries and in countries where brucellosis has not been an important health issue until recently. The aim of this study was to evaluate the prevalence, diagnosis, and manifestations of brucellosis. Methods In this study, PubMed, Web of Science, Scopus, Embase, and Google scholar databases were systematically searched to find studies published from 2011 to 2021. The search was conducted using text words and Medical Subject Headings (MeSH) Terms on the prevalence of brucellosis. Stata software 14.0 was used for all analyses. Results Based on the results, the pooled prevalence of brucellosis was 15.27% (95% CI: 9.68-21.86; heterogeneity I 2 index: 97.43; p < 0.001) for man and 15.33% (95% CI: 7.19-25.75; heterogeneity I 2 index: 98.19; p < 0.001) for woman. Age (coefficient: 0.240; p = 0.480), gender (coefficient: -0.017; p = 0.800), and publication year (coefficient: 0.114; p = 0.861) showed no significant effect on heterogeneity among studies. Egger's test indicated a significant publication bias for the prevalence of brucellosis (coefficient 3.894; p < 0.001). Moreover, the trim-and-fill method exhibited that the adjusted prevalence of brucellosis (18.30%, 95% CI: 14.10-22.52) was not significantly different from the original prevalence of brucellosis. Conclusion The pooled estimate for brucellosis prevalence was estimated as 15.53%. To better understand the epidemiology of brucellosis globally, more extensive studies are needed to be conducted throughout the world, especially in developing and low-income countries.
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Affiliation(s)
- Saeed Khoshnood
- Clinical Microbiology Research Center, Ilam University of Medical Sciences, Ilam, Iran
- Student Research Committee, Ilam University of Medical Sciences, Ilam, Iran
| | - Reza Pakzad
- Student Research Committee, Ilam University of Medical Sciences, Ilam, Iran
- Department of Epidemiology, Faculty of Health, Ilam University Medical Sciences, Ilam, Iran
| | - Maryam Koupaei
- Department of Microbiology and Immunology, School of Medicine, Kashan University of Medical Sciences, Kashan, Iran
| | - Maryam Shirani
- Toxicology Research Center, Medical Basic Sciences Research Institute, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
| | - Almas Araghi
- Department of Microbiology, Faculty of Biological Sciences, North Tehran Islamic Azad University, Tehran, Iran
| | - Golnaz Mokhtari Irani
- Department of Virology, School of Medicine, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
| | - Melika Moradi
- Department of Microbiology, School of Medicine, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
| | - Iraj Pakzad
- Clinical Microbiology Research Center, Ilam University of Medical Sciences, Ilam, Iran
- Department of Medical Microbiology, Faculty of Medicine, Ilam University of Medical Science, Ilam, Iran
| | - Nourkhoda Sadeghifard
- Clinical Microbiology Research Center, Ilam University of Medical Sciences, Ilam, Iran
| | - Mohsen Heidary
- Department of Laboratory Sciences, School of Paramedical Sciences, Sabzevar University of Medical Sciences, Sabzevar, Iran
- Cellular and Molecular Research Center, Sabzevar University of Medical Sciences, Sabzevar, Iran
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Chen H, Liu H, Cui C, Zhang W, Zuo Y. Recombinant protein G/Au nanoparticles/graphene oxide modified electrodes used as an electrochemical biosensor for Brucella Testing in milk. JOURNAL OF FOOD SCIENCE AND TECHNOLOGY 2022; 59:4653-4662. [PMID: 36276517 PMCID: PMC9579256 DOI: 10.1007/s13197-022-05544-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Revised: 06/14/2022] [Accepted: 06/19/2022] [Indexed: 06/16/2023]
Abstract
In this study, a simple label-free biosensor for Brucella was constructed, which based on the screen-printed carbon electrode (SPCE) modified by Recombinant protein G/gold nanoparticles/graphene oxide (RpG/Au/GO). The impedance responses of the proposed biosensor were measured by electrochemical AC impedance method in Brucella antigen gradient concentration solutions. The results showed that the linear range of this biosensor was from 1.6 × 102 CFU/mL to 1.6 × 108 CFU/mL with the minimum detection limit of 3.2 × 102 CFU/mL (S/N = 3). Moreover, the biosensor for Brucella detection possessed acceptable reproducibility with a relative standard deviation of 5.15% and acceptable stability with a relative standard deviation of 4.68%. The spiked recovery rate in actual pasteurized milk samples was more than 92%. Therefore, the developed biosensor exhibits excellent prospects in the selective quantification detection of Brucella abortus. Supplementary Information The online version contains supplementary material available at 10.1007/s13197-022-05544-8.
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Affiliation(s)
- Hongshuo Chen
- College of Electrical Engineering, North China University of Science and Technology, Tangshan, 063210 People’s Republic of China
- College of Engineering, Shanxi Agricultural University, Taigu, 030801 People’s Republic of China
| | - Haibin Liu
- College of Life Sciences, North China University of Science and Technology, Tangshan, 063210 People’s Republic of China
| | - Chuanjin Cui
- College of Electrical Engineering, North China University of Science and Technology, Tangshan, 063210 People’s Republic of China
| | - Wensi Zhang
- College of Electrical Engineering, North China University of Science and Technology, Tangshan, 063210 People’s Republic of China
| | - Yueming Zuo
- College of Engineering, Shanxi Agricultural University, Taigu, 030801 People’s Republic of China
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Xu JH, Kang L, Yuan B, Feng ZH, Li SQ, Wang J, Wang YR, Xin WW, Gao S, Li JX, Sun YS, Wang JL, Yuan Y. Development and evaluation of a rapid RPA/CRISPR-based detection of Francisella tularensis. Front Microbiol 2022; 13:901520. [PMID: 36033876 PMCID: PMC9399789 DOI: 10.3389/fmicb.2022.901520] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2022] [Accepted: 07/11/2022] [Indexed: 11/13/2022] Open
Abstract
Francisella tularensis is a dangerous pathogen that causes an extremely contagious zoonosis in humans named tularemia. Given its low-dose morbidity, the potential to be fatal, and aerosol spread, it is regarded as a severe threat to public health. The US Centers for Disease Control and Prevention (CDC) has classified it as a category A potential agent for bioterrorism and a Tier 1 Select Agent. Herein, we combined recombinase polymerase amplification (RPA) with CRISPR/Cas12a system to select the F. tularensis target gene (TUL4), creating a two-pronged rapid and ultrasensitive diagnostic method for detecting F. tularensis. The real-time RPA (RT-RPA) assay detected F. tularensis within 10 min at a sensitivity of 5 copies/reaction, F. tularensis genomic DNA of 5 fg, and F. tularensis of 2 × 102 CFU/ml; the RPA-CRISPR/Cas12a assay detects F. tularensis within 40 min at a sensitivity of 0.5 copies/reaction, F. tularensis genomic DNA of 1 fg, and F. tularensis of 2 CFU/ml. Furthermore, the evaluation of specificity showed that both assays were highly specific to F. tularensis. More importantly, in a test of prepared simulated blood and sewage samples, the RT-RPA assay results were consistent with RT-PCR assay results, and the RPA-CRISPR/Cas12a assay could detect a minute amount of F. tularensis genomic DNA (2.5 fg). There was no nonspecific detection with blood samples and sewage samples, giving the tests a high practical application value. For example, in on-site and epidemic areas, the RT-RPA was used for rapid screening and the RPA-CRISPR/Cas12a assay was used for more accurate diagnosis.
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Affiliation(s)
- Jian-Hao Xu
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Academy of Military Medical Sciences (AMMS), Beijing, China
- School of Life Sciences, Fujian Agriculture and Forestry University, Fuzhou, China
| | - Lin Kang
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Academy of Military Medical Sciences (AMMS), Beijing, China
| | - Bing Yuan
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Academy of Military Medical Sciences (AMMS), Beijing, China
| | - Zi-Han Feng
- Department of Disease Control and Prevention, The No. 96609 Hospital of Chinese People's Liberation Army, Yinchuan, China
| | - Shi-Qing Li
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Academy of Military Medical Sciences (AMMS), Beijing, China
| | - Jing Wang
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Academy of Military Medical Sciences (AMMS), Beijing, China
| | - Ya-Ru Wang
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Academy of Military Medical Sciences (AMMS), Beijing, China
- Faculty of Life Science and Technology, Kunming University of Science and Technology, Kunming, China
| | - Wen-Wen Xin
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Academy of Military Medical Sciences (AMMS), Beijing, China
| | - Shan Gao
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Academy of Military Medical Sciences (AMMS), Beijing, China
| | - Jia-Xin Li
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Academy of Military Medical Sciences (AMMS), Beijing, China
| | - Yan-Song Sun
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Academy of Military Medical Sciences (AMMS), Beijing, China
- *Correspondence: Yan-Song Sun
| | - Jing-Lin Wang
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Academy of Military Medical Sciences (AMMS), Beijing, China
- School of Life Sciences, Fujian Agriculture and Forestry University, Fuzhou, China
- Jing-Lin Wang
| | - Yuan Yuan
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Academy of Military Medical Sciences (AMMS), Beijing, China
- Yuan Yuan
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Chen H, Liu H, Cui C, Zhang X, Yang W, Zuo Y. Highly sensitive detection of Brucella in milk by cysteamine functionalized nanogold/4-Mercaptobenzoic acid electrochemical biosensor. JOURNAL OF FOOD MEASUREMENT AND CHARACTERIZATION 2022. [DOI: 10.1007/s11694-022-01428-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
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