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Kanwal K, Asif M, Khalid SG, Liu H, Qurashi AG, Abdullah S. Current Diagnostic Techniques for Pneumonia: A Scoping Review. SENSORS (BASEL, SWITZERLAND) 2024; 24:4291. [PMID: 39001069 PMCID: PMC11244398 DOI: 10.3390/s24134291] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 05/29/2024] [Revised: 06/22/2024] [Accepted: 06/28/2024] [Indexed: 07/16/2024]
Abstract
Community-acquired pneumonia is one of the most lethal infectious diseases, especially for infants and the elderly. Given the variety of causative agents, the accurate early detection of pneumonia is an active research area. To the best of our knowledge, scoping reviews on diagnostic techniques for pneumonia are lacking. In this scoping review, three major electronic databases were searched and the resulting research was screened. We categorized these diagnostic techniques into four classes (i.e., lab-based methods, imaging-based techniques, acoustic-based techniques, and physiological-measurement-based techniques) and summarized their recent applications. Major research has been skewed towards imaging-based techniques, especially after COVID-19. Currently, chest X-rays and blood tests are the most common tools in the clinical setting to establish a diagnosis; however, there is a need to look for safe, non-invasive, and more rapid techniques for diagnosis. Recently, some non-invasive techniques based on wearable sensors achieved reasonable diagnostic accuracy that could open a new chapter for future applications. Consequently, further research and technology development are still needed for pneumonia diagnosis using non-invasive physiological parameters to attain a better point of care for pneumonia patients.
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Affiliation(s)
- Kehkashan Kanwal
- College of Speech, Language, and Hearing Sciences, Ziauddin University, Karachi 75000, Pakistan
| | - Muhammad Asif
- Faculty of Computing and Applied Sciences, Sir Syed University of Engineering and Technology, Karachi 75300, Pakistan
| | - Syed Ghufran Khalid
- Department of Engineering, Faculty of Science and Technology, Nottingham Trent University, Nottingham B15 3TN, UK
| | - Haipeng Liu
- Research Centre for Intelligent Healthcare, Coventry University, Coventry CV1 5FB, UK
| | | | - Saad Abdullah
- School of Innovation, Design and Engineering, Mälardalen University, 721 23 Västerås, Sweden
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2
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Pickens CI, Gao CA, Morales-Nebreda L, Wunderink RG. Microbiology of Severe Community-Acquired Pneumonia and the Role of Rapid Molecular Techniques. Semin Respir Crit Care Med 2024; 45:158-168. [PMID: 38196061 DOI: 10.1055/s-0043-1777770] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2024]
Abstract
The microbiology of severe community acquired pneumonia (SCAP) has implications on management, clinical outcomes and public health policy. Therefore, knowledge of the etiologies of SCAP and methods to identify these microorganisms is key. Bacteria including Streptococcus pneumoniae, Staphylococcus aureus and Enterobacteriaceae continue to be important causes of SCAP. Viruses remain the most commonly identified etiology of SCAP. Atypical organisms are also important etiologies of SCAP and are critical to identify for public health. With the increased number of immunocompromised individuals, less common pathogens may also be found as the causative agent of SCAP. Traditional diagnostic tests, including semi-quantitative respiratory cultures, blood cultures and urinary antigens continue to hold an important role in the evaluation of patients with SCAP. Many of the limitations of the aforementioned tests are addressed by rapid, molecular diagnostic tests. Molecular diagnostics utilize culture-independent technology to identify species-specific genetic sequences. These tests are often semi-automated and provide results within hours, which provides an opportunity for expedient antibiotic stewardship. The existing literature suggests molecular diagnostic techniques may improve antibiotic stewardship in CAP, and future research should investigate optimal methods for implementation of these assays into clinical practice.
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Affiliation(s)
- Chiagozie I Pickens
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Feinberg School of Medicine, Northwestern University, Chicago, Illinois
| | - Catherine A Gao
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Feinberg School of Medicine, Northwestern University, Chicago, Illinois
| | - Luisa Morales-Nebreda
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Feinberg School of Medicine, Northwestern University, Chicago, Illinois
| | - Richard G Wunderink
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Feinberg School of Medicine, Northwestern University, Chicago, Illinois
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3
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Rapid Detection of Microbial Mass Spectra VITEK-MS for Campylobacter jejuni and Listeria monocytogenes. FOOD ANAL METHOD 2019. [DOI: 10.1007/s12161-019-01663-9] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/13/2023]
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Guo LY, Li CM, Wang S, Mu DS, Du ZJ. Lujinxingia litoralis gen. nov., sp. nov. and Lujinxingia sediminis sp. nov., two new representatives in the order Bradymonadales. Int J Syst Evol Microbiol 2019; 69:2767-2774. [PMID: 31237538 DOI: 10.1099/ijsem.0.003556] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Abstract
In this study, two bacterial strains designated B210T and SEH01T, isolated from coastal sediment sampled in Weihai, PR China, were characterized using a polyphasic approach. Strains were Gram-stain-negative, facultative anaerobic, rod-shaped and motile. According to the results of phylogenetic analyses based on their 16S rRNA genes, these two strains should be classified under the order Bradymonadales and they both show <90 % sequence similarities with Bradymonas sediminis FA350T. Moreover, strain B210T showed 98.6 % sequence similarity to strain SEH01T. Genomic characteristics including average nucleotide identity and in silico DNA-DNA hybridization values clearly separated strain B210T from strain SEH01T. The sole quinone of these two strains was menaquinone MK-7, and the major polar lipids were diphosphatidylglycerol, phosphatidylglycerol, phosphatidylethanolamine and an unidentified lipid. Iso-C15 : 0 was the major fatty acid in both strains B210T and SEH01T, and iso-C14 : 0 3-OH was also a major fatty acid for strain SEH01T. Based on the polyphasic analysis, these two strains represent two novel species of a new genus within the family Bradymonadaceae. Consequently, the novel genus Lujinxingia gen. nov. is proposed, containing two new species Lujinxingia litoralis gen. nov. sp. nov. and Lujinxingia sediminis sp. nov., with strain B210T (=KCTC 42951T=CGMCC 1.16770T) and strain SEH01T (=KCTC 42950T=DSM 101859T) as the type strains, respectively.
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Affiliation(s)
- Ling-Yun Guo
- Marine College, Shandong University, Weihai 264209, PR China
- State key Laboratory of Microbial Technology, Shandong University, Qingdao 266237, PR China
| | - Chang-Ming Li
- Marine College, Shandong University, Weihai 264209, PR China
- State key Laboratory of Microbial Technology, Shandong University, Qingdao 266237, PR China
| | - Shuo Wang
- Marine College, Shandong University, Weihai 264209, PR China
- State key Laboratory of Microbial Technology, Shandong University, Qingdao 266237, PR China
| | - Da-Shuai Mu
- Marine College, Shandong University, Weihai 264209, PR China
- State key Laboratory of Microbial Technology, Shandong University, Qingdao 266237, PR China
| | - Zong-Jun Du
- Marine College, Shandong University, Weihai 264209, PR China
- State key Laboratory of Microbial Technology, Shandong University, Qingdao 266237, PR China
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5
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Performance of the matrix-assisted laser desorption ionization time-of-flight mass spectrometry system for rapid identification of streptococci: a review. Eur J Clin Microbiol Infect Dis 2017; 36:1005-1012. [DOI: 10.1007/s10096-016-2879-2] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2016] [Accepted: 12/13/2016] [Indexed: 11/30/2022]
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6
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Hleba L, Kmeť V, Tóth T, Kačániová M. Resistance in bacteria and indirect beta-lactamase detection in E. coli isolated from Culex pipiens detected by matrix-assisted laser desorption ionization time of flight mass spectrometry. JOURNAL OF ENVIRONMENTAL SCIENCE AND HEALTH. PART. B, PESTICIDES, FOOD CONTAMINANTS, AND AGRICULTURAL WASTES 2017; 52:64-69. [PMID: 27726502 DOI: 10.1080/03601234.2016.1229466] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/06/2023]
Abstract
The aim of this study was detections of antibiotic resistance and resistance mechanism in bacteria isolated from mosquitos (Culex pipiens) living near humans. Therefore, antibiotic resistance in bacteria isolated from Culex pipiens was investigated by disk diffusion test and MIC E-test in this study. MALDI-TOF mass spectrometry was used for detection of resistant mechanism. In this study, hydrolytic breakdown products after a few hours of incubation of the bacteria isolated from Culex pipiens were detected. Results show that enzymatic destruction of ampicillin by beta-lactamases is able to be detected by MALDI-TOF mass spectrometry from wild strains of potential pathogens. The MALDI-TOF mass spectrometry is useful method for routine detection of beta-lactamases resistant mechanism, but overnight incubation of pure culture is necessary. The results are important for proper and fast intervention to limit the spread of beta-lactamase-producing wild bacteria and provide information for appropriate initial therapy of the infections caused by these microbes.
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Affiliation(s)
- Lukáš Hleba
- a Department of Microbiology, Faculty of Biotechnology and Food Sciences , Slovak University of Agriculture , Nitra , Slovakia
| | - Vladimír Kmeť
- b Institute of Animal Physiology, Slovak Academy of Science , Soltesovej, Kosice , Slovakia
| | - Tomáš Tóth
- a Department of Microbiology, Faculty of Biotechnology and Food Sciences , Slovak University of Agriculture , Nitra , Slovakia
| | - Miroslava Kačániová
- a Department of Microbiology, Faculty of Biotechnology and Food Sciences , Slovak University of Agriculture , Nitra , Slovakia
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7
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Guo LY, Li DQ, Sang J, Chen GJ, Du ZJ. Marinagarivorans algicola gen. nov., sp. nov., isolated from marine algae. Int J Syst Evol Microbiol 2016; 66:1593-1599. [DOI: 10.1099/ijsem.0.000925] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Affiliation(s)
- Ling-Yun Guo
- College of Marine Science, Shandong University at Weihai, Weihai 264209, PR China
| | - Dong-Qi Li
- College of Marine Science, Shandong University at Weihai, Weihai 264209, PR China
| | - Jin Sang
- College of Marine Science, Shandong University at Weihai, Weihai 264209, PR China
| | - Guan-Jun Chen
- College of Marine Science, Shandong University at Weihai, Weihai 264209, PR China
- State key Laboratory of Microbial Technology, Shandong University, Jinan 250100, PR China
| | - Zong-Jun Du
- State key Laboratory of Microbial Technology, Shandong University, Jinan 250100, PR China
- College of Marine Science, Shandong University at Weihai, Weihai 264209, PR China
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8
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Liu QQ, Li J, Xiao D, Lu JX, Chen GJ, Du ZJ. Saccharicrinis marinus sp. nov., isolated from marine sediment. Int J Syst Evol Microbiol 2015; 65:3427-3432. [DOI: 10.1099/ijsem.0.000436] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Abstract
A novel bacterial strain, designated Y11T, was isolated from marine sediment at Weihai in China. Comparative analysis of 16S rRNA gene sequences demonstrated that the novel isolate showed highest similarity to Saccharicrinis fermentans DSM 9555T (94.0 %) and Saccharicrinis carchari SS12T (92.7 %). Strain Y11T was a Gram-stain-negative, rod-shaped, non-endospore-forming, yellow-pigmented bacterium and was able to hydrolyse agar weakly. It was catalase-negative, oxidase-positive, facultatively anaerobic and motile by gliding. Optimal growth occurred at 28–30 °C, at pH 7.0–7.5 and in the presence of 2–3 % (w/v) NaCl. The DNA G+C content was 34.4 mol%. The strain contained MK-7 as the prevalent menaquinone. The major cellular fatty acids were iso-C15 : 0, anteiso-C15 : 0 and C15 : 1ω6c. The predominant polar lipids were phosphatidylethanolamine and two unknown lipids. Data from the present polyphasic taxonomic study clearly place the strain as representing a novel species within the genus Saccharicrinis, for which the name Saccharicrinis marinus sp. nov. is proposed. The type strain is Y11T ( = CICC10837T = KCTC42400T).
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Affiliation(s)
- Qian-Qian Liu
- College of Marine Science, Shandong University at Weihai, Weihai 264209, PR China
| | - Juan Li
- State Key Laboratory for Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Disease, National Institute for Communicable Disease Control and Prevention, China CDC, PO Box 5, Changping, Beijing 102206, PR China
| | - Di Xiao
- State Key Laboratory for Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Disease, National Institute for Communicable Disease Control and Prevention, China CDC, PO Box 5, Changping, Beijing 102206, PR China
| | - Jin-Xing Lu
- State Key Laboratory for Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Disease, National Institute for Communicable Disease Control and Prevention, China CDC, PO Box 5, Changping, Beijing 102206, PR China
| | - Guan-Jun Chen
- College of Marine Science, Shandong University at Weihai, Weihai 264209, PR China
| | - Zong-Jun Du
- College of Marine Science, Shandong University at Weihai, Weihai 264209, PR China
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9
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Xiao D, Zhang C, Zhang H, Li X, Jiang X, Zhang J. A novel approach for differentiating pathogenic and non-pathogenic Leptospira based on molecular fingerprinting. J Proteomics 2014; 119:1-9. [PMID: 25464365 DOI: 10.1016/j.jprot.2014.10.023] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2014] [Revised: 10/13/2014] [Accepted: 10/21/2014] [Indexed: 12/11/2022]
Abstract
UNLABELLED Leptospirosis is a worldwide, deadly zoonotic disease. Pathogenic Leptospira causes leptospirosis. The rapid and accurate identification of pathogenic and non-pathogenic Leptospira strains is essential for appropriate therapeutic management and timely intervention for infection control. The molecular fingerprint is a simple and rapid alternative tool for microorganisms identification, which is based on matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS). In this study, molecular fingerprint was performed to identify pathogenic strains of Leptospira. Phylogenetic analysis based on 16S rRNA gene sequences was used as the reference method. In addition, a label-free technique was used to reveal the different proteins of pathogenic or non-pathogenic Leptospira. A reference database was constructed using 30 Leptospira strains, including 16 pathogenic strains and 14 non-pathogenic strains. Two super reference spectra that were associated with pathogenicity were established. Overall, 33 Leptospira strains were used for validation, and 32 of 33 Leptospira strains could be identified on the species level and all the 33 could be classified as pathogenic or non-pathogenic. The super reference spectra and the major spectra projection (MSP) dendrogram correctly categorized the Leptospira strains into pathogenic and non-pathogenic groups, which was consistent with the 16S rRNA reference methods. Between the pathogenic and non-pathogenic strains, 108 proteins were differentially expressed. molecular fingerprint is an alternative to conventional molecular identification and can rapidly distinguish between pathogenic and non-pathogenic Leptospira strains. Therefore, molecular fingerprint may play an important role in the clinical diagnosis, treatment, surveillance, and tracking of epidemic outbreaks of leptospirosis. BIOLOGICAL SIGNIFICANCE Leptospirosis is a worldwide zoonosis that is caused by spirochetes of the genus Leptospira. Leptospirosis is a serious zoonotic disease that has become an important public health problem. Traditional serological methods are the gold standard for the detection of pathogenic strains of Leptospira. However, serological procedures are cumbersome, require more complex experimental techniques, and are based on a large number of international and domestic reference strains. Additionally, these experiments involve the immunization of animals with antigens from different serotypes to produce immune serum, and improper techniques may result in a rapid decrease in antibody titer, which would affect the final results. It is difficult to perform cumbersome detection procedures in a basic laboratory. Therefore, the use of conventional serological methods is limited, which significantly impacts daily leptospirosis epidemic surveillance, prevention, and control. Molecular biology methods, such as 16S rRNA and PCR-based methods, can be used to identify the pathogenic Leptospira. However, DNA extraction and gene sequencing methods are laborious and time consuming. Therefore, more rapid and reliable high-throughput identification methods are urgently needed for the clinical diagnosis of leptospirosis to improve epidemic control. Here, molecular fingerprinting technique was use to identify the pathogenicity. We constructed the reference spectra database and the super reference spectra of pathogenic and non-pathogenic Leptospira, which can rapidly identified Leptospira at the species level and the pathogenicity of these isolates can be simultaneously confirmed. Furthermore, the protein components of Leptospira pathogenicity were revealed. These findings thus provide a new way for Leptospira pathogenicity identification.
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Affiliation(s)
- Di Xiao
- State Key Laboratory for Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China; Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Hangzhou 310003, China
| | - Cuicai Zhang
- State Key Laboratory for Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China; Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Hangzhou 310003, China
| | - Huifang Zhang
- State Key Laboratory for Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China; Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Hangzhou 310003, China
| | - Xiuwen Li
- State Key Laboratory for Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China; Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Hangzhou 310003, China
| | - Xiugao Jiang
- State Key Laboratory for Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China; Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Hangzhou 310003, China.
| | - Jianzhong Zhang
- State Key Laboratory for Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China; Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Hangzhou 310003, China.
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10
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Xiao D, Ye C, Zhang H, Kan B, Lu J, Xu J, Jiang X, Zhao F, You Y, Yan X, Wang D, Hu Y, Zhang M, Zhang J. The construction and evaluation of reference spectra for the identification of human pathogenic microorganisms by MALDI-TOF MS. PLoS One 2014; 9:e106312. [PMID: 25181391 PMCID: PMC4152241 DOI: 10.1371/journal.pone.0106312] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2014] [Accepted: 07/30/2014] [Indexed: 11/18/2022] Open
Abstract
Matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) is an emerging technique for the rapid and high-throughput identification of microorganisms. There remains a dearth of studies in which a large number of pathogenic microorganisms from a particular country or region are utilized for systematic analyses. In this study, peptide mass reference spectra (PMRS) were constructed and evaluated from numerous human pathogens (a total of 1019 strains from 94 species), including enteric (46 species), respiratory (21 species), zoonotic (17 species), and nosocomial pathogens (10 species), using a MALDI-TOF MS Biotyper system (MBS). The PMRS for 380 strains of 52 species were new contributions to the original reference database (ORD). Compared with the ORD, the new reference database (NRD) allowed for 28.2% (from 71.5% to 99.7%) and 42.3% (from 51.3% to 93.6%) improvements in identification at the genus and species levels, respectively. Misidentification rates were 91.7% and 57.1% lower with the NRD than with the ORD for genus and species identification, respectively. Eight genera and 25 species were misidentified. For genera and species that are challenging to accurately identify, identification results must be manually determined and adjusted in accordance with the database parameters. Through augmentation, the MBS demonstrated a high identification accuracy and specificity for human pathogenic microorganisms. This study sought to provide theoretical guidance for using PMRS databases in various fields, such as clinical diagnosis and treatment, disease control, quality assurance, and food safety inspection.
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Affiliation(s)
- Di Xiao
- State Key Laboratory for Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
- Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Hangzhou, China
| | - Changyun Ye
- State Key Laboratory for Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
- Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Hangzhou, China
| | - Huifang Zhang
- State Key Laboratory for Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
- Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Hangzhou, China
| | - Biao Kan
- State Key Laboratory for Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
- Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Hangzhou, China
| | - Jingxing Lu
- State Key Laboratory for Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
- Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Hangzhou, China
| | - Jianguo Xu
- State Key Laboratory for Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
- Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Hangzhou, China
| | - Xiugao Jiang
- State Key Laboratory for Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
- Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Hangzhou, China
| | - Fei Zhao
- State Key Laboratory for Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
- Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Hangzhou, China
| | - Yuanhai You
- State Key Laboratory for Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
- Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Hangzhou, China
| | - Xiaomei Yan
- State Key Laboratory for Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
- Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Hangzhou, China
| | - Duochun Wang
- State Key Laboratory for Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
- Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Hangzhou, China
| | - Yuan Hu
- State Key Laboratory for Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
- Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Hangzhou, China
| | - Maojun Zhang
- State Key Laboratory for Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
- Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Hangzhou, China
| | - Jianzhong Zhang
- State Key Laboratory for Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
- Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Hangzhou, China
- * E-mail:
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11
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de Almeida VE, da Costa GB, de Sousa Fernandes DD, Gonçalves Dias Diniz PH, Brandão D, de Medeiros ACD, Véras G. Using color histograms and SPA-LDA to classify bacteria. Anal Bioanal Chem 2014; 406:5989-95. [DOI: 10.1007/s00216-014-8015-1] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2014] [Revised: 06/28/2014] [Accepted: 06/30/2014] [Indexed: 12/19/2022]
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12
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High natural variability bacteria identification and typing: Helicobacter pylori analysis based on peptide mass fingerprinting. J Proteomics 2014; 98:112-22. [DOI: 10.1016/j.jprot.2013.11.021] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2013] [Revised: 11/04/2013] [Accepted: 11/22/2013] [Indexed: 01/18/2023]
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13
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Nair GB, Niederman MS. Year in review 2012: Critical Care--respiratory infections. CRITICAL CARE : THE OFFICIAL JOURNAL OF THE CRITICAL CARE FORUM 2013; 17:251. [PMID: 24438847 PMCID: PMC4057239 DOI: 10.1186/cc12773] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
Abstract
Over the last two decades, considerable progress has been made in the understanding of disease mechanisms and infection control strategies related to infections, particularly pneumonia, in critically ill patients. Patient-centered and preventative strategies assume paramount importance in this era of limited health-care resources, in which effective targeted therapy is required to achieve the best outcomes. Risk stratification using severity scores and inflammatory biomarkers is a promising strategy for identifying sick patients early during their hospital stay. The emergence of multidrug-resistant pathogens is becoming a major hurdle in intensive care units. Cooperation, education, and interaction between multiple disciplines in the intensive care unit are required to limit the spread of resistant pathogens and to improve care. In this review, we summarize findings from major publications over the last year in the field of respiratory infections in critically ill patients, putting an emphasis on a newer understanding of pathogenesis, use of biomarkers, and antibiotic stewardship and examining new treatment options and preventive strategies.
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14
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Lau SKP, Tang BSF, Teng JLL, Chan TM, Curreem SOT, Fan RYY, Ng RHY, Chan JFW, Yuen KY, Woo PCY. Matrix-assisted laser desorption ionisation time-of-flight mass spectrometry for identification of clinically significant bacteria that are difficult to identify in clinical laboratories. J Clin Pathol 2013; 67:361-6. [PMID: 24143023 DOI: 10.1136/jclinpath-2013-201818] [Citation(s) in RCA: 36] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
AIMS Although the revolutionary matrix-assisted laser desorption ionisation time-of-flight mass spectrometry (MALDI-TOF MS) has been evaluated for identification of various groups of bacteria, its application in bacteria that are 'difficult-to-identify' by phenotypic tests has been less well studied. We aim to evaluate the usefulness of MALDI-TOF MS for identification of 'difficult-to-identify' bacterial isolates. METHODS We evaluated the performance of the Bruker MALDI-TOF MS system for a collection of 67 diverse clinically important bacterial isolates that were less commonly encountered, possessed ambiguous biochemical profiles or belonged to newly discovered species. The results were compared with 16S rRNA gene sequencing as a reference method for species identification. RESULTS Using 16S rRNA gene sequencing as the reference method, 30 (45%) isolates were identified correctly to species level (score ≥2.0), 20 (30%) were only identified to genus level (score ≥1.7), four (6%) were misidentified (incorrect species with score ≥2.0 or incorrect genus with score ≥1.7) and 13 (19%) showed 'no identification' (score <1.7). Aerobic Gram-positive bacteria showed the highest percentage of correct species identification, followed by aerobic Gram-negative, anaerobic Gram-positive and anaerobic Gram-negative bacteria. Sixteen isolates identified to genus level actually showed the correct species but with scores below the threshold for species identification. Most isolates which showed 'no identification' were due to the absence of the corresponding species in the Bruker database. CONCLUSIONS Expansion of commercial databases to include reference spectra of less commonly encountered and newly discovered species and to increase available spectra for each species is required to improve the accuracy of MALDI-TOF MS for identifying 'difficult-to-identify' bacteria.
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Affiliation(s)
- Susanna K P Lau
- State Key Laboratory of Emerging Infectious Diseases, The University of Hong Kong, , Hong Kong, China
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15
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Abstract
PURPOSE OF REVIEW Community-acquired pneumonia (CAP) contributes significantly to morbidity and mortality, especially in the elderly. Recent advances aimed at improving outcomes and reducing CAP disease burden are summarized. RECENT FINDINGS Emerging data suggests that newer CAP risk stratification indices based on disease severity hold promise in predicting intensive care need. Additional evidence supports a role of procalcitonin and pro-adrenomedullin as biomarkers of disease severity and for guiding antimicrobial therapy. New diagnostic tools have greatly contributed to early diagnosis and better-targeted therapy. There is increasing recognition of the role of coinfections in CAP. In patients with severe disease, therefore, current guidelines advise against monotherapy. Although inclusion of coverage for atypical pathogens in nonsevere CAP has been challenged, evidence suggests that such coverage is beneficial in patients with severe disease. Use of steroids as adjunctive therapy for CAP, however, is associated with complications and prolonged hospitalization. Updated prevention strategies include approval of pneumococcal conjugate vaccine (PCV13) for adults at risk. SUMMARY Despite these developments research aimed at further reducing CAP-related morbidity and mortality is required. Increasing global life expectancy is likely to expand the at-risk population; therefore, research directed at CAP prevention in view of changing demography is essential.
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Weidner S, Schultze RD, Enthaler B. Matrix-assisted laser desorption/ionization imaging mass spectrometry of pollen grains and their mixtures. RAPID COMMUNICATIONS IN MASS SPECTROMETRY : RCM 2013; 27:896-903. [PMID: 23495059 DOI: 10.1002/rcm.6523] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/07/2012] [Revised: 01/22/2013] [Accepted: 01/28/2013] [Indexed: 05/24/2023]
Abstract
RATIONALE The fast and univocal identification of different species in mixtures of pollen grains is still a challenge. Apart from microscopic evaluation and Raman spectroscopy, no other techniques are available. METHODS Matrix-assisted laser desorption/ionization (MALDI) imaging mass spectrometry was applied to the analysis of extracts of single pollen grains and pollen mixtures. Pollen grains were fixed, treated and covered with matrix directly on the MALDI target. RESULTS Clearly resolved MALDI ion intensity images could be obtained enabling the identification of single pollen grains in a mixture. CONCLUSIONS Our results demonstrate the potential and the suitability of MALDI imaging mass spectrometry as an additional method for the identification of pollen mixtures.
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Affiliation(s)
- Steffen Weidner
- BAM-Federal Institute for Materials Research and Testing, Richard Willstaetter-Strasse 11, D-12489, Berlin, Germany.
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Patel R. Matrix-assisted laser desorption ionization-time of flight mass spectrometry in clinical microbiology. Clin Infect Dis 2013; 57:564-72. [PMID: 23595835 DOI: 10.1093/cid/cit247] [Citation(s) in RCA: 121] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Despite widespread application of nucleic acid diagnostics, cultures remain integral in modern laboratories. Because cultures detect a large number of organism types, it is unlikely that they will disappear from clinical practice in the near future. Their downside is slow turn-around time, impacted by time to growth and identification of that growth. The latter is expedited using a new proteomic technology, matrix-assisted laser desorption ionization-time of flight mass spectrometry (MALDI-TOF MS).
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Affiliation(s)
- Robin Patel
- Division of Clinical Microbiology, Department of Laboratory Medicine and Pathology and Division of Infectious Diseases, Department of Medicine, Mayo Clinic, Rochester, MN 55905, USA.
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Xiao D, You Y, Bi Z, Wang H, Zhang Y, Hu B, Song Y, Zhang H, Kou Z, Yan X, Zhang M, Jin L, Jiang X, Su P, Bi Z, Luo F, Zhang J. MALDI-TOF mass spectrometry-based identification of group A Streptococcus isolated from areas of the 2011 scarlet fever outbreak in china. INFECTION GENETICS AND EVOLUTION 2013; 14:320-6. [DOI: 10.1016/j.meegid.2012.12.007] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/03/2012] [Revised: 11/28/2012] [Accepted: 12/10/2012] [Indexed: 11/29/2022]
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Zhu B, Xiao D, Zhang H, Zhang Y, Gao Y, Xu L, Lv J, Wang Y, Zhang J, Shao Z. MALDI-TOF MS distinctly differentiates nontypable Haemophilus influenzae from Haemophilus haemolyticus. PLoS One 2013; 8:e56139. [PMID: 23457514 PMCID: PMC3573053 DOI: 10.1371/journal.pone.0056139] [Citation(s) in RCA: 37] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2012] [Accepted: 01/05/2013] [Indexed: 11/19/2022] Open
Abstract
Nontypable Haemophilus influenzae (NTHi) and Haemophilus haemolyticus exhibit different pathogenicities, but to date, there remains no definitive and reliable strategy for differentiating these strains. In this study, we evaluated matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) as a potential method for differentiating NTHi and H. haemolyticus. The phylogenetic analysis of concatenated 16S rRNA and recombinase A (recA) gene sequences, outer membrane protein P6 gene sequencing and single-gene PCR were used as reference methods. The original reference database (ORD, provided with the Biotyper software) and new reference database (NRD, extended with Chinese strains) were compared for the evaluation of MALDI-TOF MS. Through a search of the ORD, 76.9% of the NTHi (40/52) and none of the H. haemolyticus (0/20) strains were identified at the species level. However, all NTHi and H. haemolyticus strains used for identification were accurately recognized at the species level when searching the NRD. From the dendrogram clustering of the main spectra projections, the Chinese and foreign H. influenzae reference strains were categorized into two distinct groups, and H. influenzae and H. haemolyticus were also separated into two categories. Compared to the existing methods, MALDI-TOF MS has the advantage of integrating high throughput, accuracy and speed. In conclusion, MALDI-TOF MS is an excellent method for differentiating NTHi and H. haemolyticus. This method can be recommended for use in appropriately equipped laboratories.
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Affiliation(s)
- Bingqing Zhu
- State Key Laboratory for Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, People’s Republic of China
| | - Di Xiao
- State Key Laboratory for Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, People’s Republic of China
| | - Huifang Zhang
- State Key Laboratory for Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, People’s Republic of China
| | - Yongchan Zhang
- State Key Laboratory for Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, People’s Republic of China
| | - Yuan Gao
- State Key Laboratory for Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, People’s Republic of China
| | - Li Xu
- State Key Laboratory for Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, People’s Republic of China
| | - Jing Lv
- Hubei Provincial Center for Disease Control and Prevention, Wuhan, People’s Republic of China
| | - Yingtong Wang
- Hebei Provincial Center for Disease Control and Prevention, Shijiazhuang, People’s Republic of China
| | - Jianzhong Zhang
- State Key Laboratory for Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, People’s Republic of China
- * E-mail: (ZS); (JZ)
| | - Zhujun Shao
- State Key Laboratory for Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, People’s Republic of China
- * E-mail: (ZS); (JZ)
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