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Abavisani M, Karbas Foroushan S, Khayami R, Sahebkar A. Mycobacterium tuberculosis Detection Using CRISPR Technology: An Updated Systematic Review and Meta-analysis. Mol Diagn Ther 2024:10.1007/s40291-024-00741-x. [PMID: 39212838 DOI: 10.1007/s40291-024-00741-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/12/2024] [Indexed: 09/04/2024]
Abstract
BACKGROUND Rapid and precise detection of Mycobacterium tuberculosis (MTB) is paramount for effective management and control of tuberculosis. Clustered regularly interspaced short palindromic repeats (CRISPR) technology has emerged as a promising tool for pathogenic diagnosis owing to its specificity and adaptability. This systematic review and meta-analysis aimed to appraise the diagnostic accuracy of CRISPR-based techniques in identifying MTB. METHODS A meticulous search was conducted in Medline, Scopus, Embase, and ISI Web of Science to retrieve relevant studies, adhering to Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Quality was assessed using the Joanna Briggs Institute checklist. Data synthesis and analyses, including subgroup analyses, were performed with R v 4.3.1, examining variables like CRISPR variants, gene targets, pre-amplification techniques, and signal readout methods. RESULTS From 389 identified studies, 14 met the inclusion criteria, encompassing 2175 MTB strains. The pooled sensitivity and specificity of CRISPR-based techniques were 0.93 (95% CI 0.85-0.99) and 0.97 (95% CI 0.94-0.99), respectively. The pooled diagnostic odds ratio was 273.4379 (95% CI 103.3311-723.5794), with an area under the curve of 0.97 for the summary receiver operating characteristic (SROC) curve, denoting excellent diagnostic accuracy. Subgroup analyses illustrated variations in diagnostic metrics based on factors like CRISPR variant utilized, target gene, and pre-amplification methods. For instance, CRISPR-Cas12 exhibited a sensitivity and specificity of 0.93 (95% CI 0.78-0.98) and 0.98 (95% CI 0.93-1), respectively. Moreover, this technology showed a sensitivity of 96% and specificity of 100% in detecting resistant MTB. CONCLUSION CRISPR-based methods exhibit substantial diagnostic sensitivity and specificity for detecting MTB, with notable variances across different CRISPR variants and methodological approaches. Further studies must be conducted to optimize CRISPR's potential as a diagnostic tool for MTB in a variety of clinical and research settings.
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Affiliation(s)
- Mohammad Abavisani
- Student Research Committee, Mashhad University of Medical Sciences, Mashhad, Iran
| | | | - Reza Khayami
- Student Research Committee, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Amirhossein Sahebkar
- Center for Global Health Research, Saveetha Medical College and Hospitals, Saveetha Institute of Medical and Technical Sciences, Saveetha University, Chennai, India.
- Biotechnology Research Center, Pharmaceutical Technology Institute, Mashhad University of Medical Sciences, Mashhad, Iran.
- Applied Biomedical Research Center, Mashhad University of Medical Sciences, Mashhad, Iran.
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Costa M, Caria JP, Caiano JB, Caeiro A, Maltez F. Tuberculous Meningitis: An Endemic Cause of Intracranial Hypertension. Cureus 2024; 16:e51532. [PMID: 38304681 PMCID: PMC10831199 DOI: 10.7759/cureus.51532] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/02/2024] [Indexed: 02/03/2024] Open
Abstract
Tuberculous meningitis (TBM) presents a complex clinical scenario, often marked by delayed recognition and high mortality. Our case involves a 27-year-old woman from Nepal with no significant medical history, presented with a two-week history of fatigue, altered consciousness, dizziness, vomiting, fever, holocranial headache, and photophobia. Initial examination revealed signs consistent with meningitis, including fever, hypertensive state, prostration, bilateral exophthalmos, sixth cranial nerve paresis, and positive Kernig/Brudzinski signs. Cerebrospinal fluid (CSF) exhibited characteristics typical of TBM: turbidity, lymphocytic-predominant pleocytosis, low glucose, and elevated protein. The patient was promptly started on meningeal doses of vancomycin, ceftriaxone, and acyclovir. However, persistent fever, neurological deterioration, and signs of increased intracranial pressure led to the decision to initiate conventional empiric treatment of tuberculosis (TB) with isoniazid, rifampicin, pyrazinamide, and ethambutol (HRZE) and dexamethasone 1 week before cultural positivity for Mycobacterium tuberculosis of CSF. The case underscores the importance of considering TBM in patients from endemic regions, interpreting CSF findings, and initiating empirical treatment in critical scenarios, contributing to a positive patient outcome despite the diagnostic challenges.
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Affiliation(s)
- Miguel Costa
- Internal Medicine, Hospital Viana do Castelo, Viana do Castelo, PRT
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Liu L, Li M, Liu G, He J, Liu Y, Chen X, Tu Y, Lin J, Feng Y, Xia X. A novel, highly sensitive, one-tube nested quantitative real-time PCR for Brucella in human blood samples. Microbiol Spectr 2023; 11:e0058223. [PMID: 37791776 PMCID: PMC10714840 DOI: 10.1128/spectrum.00582-23] [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: 02/22/2023] [Accepted: 08/08/2023] [Indexed: 10/05/2023] Open
Abstract
IMPORTANCE This study developed a highly sensitive and efficient method for the detection of brucellosis by introducing a one-tube nested quantitative real-time PCR (qPCR) approach, representing a remarkable advance in the field. The method demonstrated an impressive analytical sensitivity of 100 fg/μL, surpassing conventional qPCR and enabling the detection of even low levels of Brucella DNA. In addition, the study's comprehensive evaluation of 250 clinical samples revealed a specificity of 100% and a sensitivity of 98.6%, underscoring its reliability and accuracy. Most importantly, the new method significantly improved the detection rate of low-burden samples, reducing cycle threshold values by an average of 6.4. These results underscore the immense potential of this approach to facilitate rapid and accurate brucellosis diagnosis, which is critical for effective disease management and control.
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Affiliation(s)
- Li Liu
- Faculty of Life Science and Technology, Kunming University of Science and Technology, Kunming, Yunnan, China
| | - Mengyao Li
- Faculty of Life Science and Technology, Kunming University of Science and Technology, Kunming, Yunnan, China
| | - Gaowen Liu
- Yunnan Kecan Biotechnology Co., Ltd, Kunming, China
| | - Jian He
- The Affiliated Anning First People’s Hospital, Kunming University of Science and Technology, Kunming, China
| | - Yang Liu
- Faculty of Life Science and Technology, Kunming University of Science and Technology, Kunming, Yunnan, China
- Yunnan SCISPARK Genetic Testing Lab, Yunnan SCISPARK Biotechnology Co., Ltd, Kunming, China
| | - Xuesong Chen
- The Affiliated Anning First People’s Hospital, Kunming University of Science and Technology, Kunming, China
| | - Yungui Tu
- The Affiliated Anning First People’s Hospital, Kunming University of Science and Technology, Kunming, China
| | - Jie Lin
- The Affiliated Anning First People’s Hospital, Kunming University of Science and Technology, Kunming, China
| | - Yue Feng
- Faculty of Life Science and Technology, Kunming University of Science and Technology, Kunming, Yunnan, China
- The Affiliated Anning First People’s Hospital, Kunming University of Science and Technology, Kunming, China
| | - Xueshan Xia
- Faculty of Life Science and Technology, Kunming University of Science and Technology, Kunming, Yunnan, China
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Kamra E, Alam D, Singh V, Kumar M, Chauhan M, Mehta PK. Diagnosis of urogenital tuberculosis by multiplex-nested PCR targeting mpt64 (Rv1980c) and IS6110: comparison with multiplex PCR and GeneXpert® MTB/RIF. Lett Appl Microbiol 2022; 75:857-868. [PMID: 35673975 DOI: 10.1111/lam.13758] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2021] [Revised: 05/23/2022] [Accepted: 06/01/2022] [Indexed: 11/29/2022]
Abstract
A multiplex-nested PCR (M-nested PCR) targeting mpt64 (Rv1980c) + IS6110 was designed to detect Mycobacterium tuberculosis (Mtb) DNA within urine (n = 35), endometrial biopsies (n = 22) and menstrual blood (n = 3) of male/female UGTB patients, and results were compared with M-PCR using the same targets. Detection limit of the purified Mtb DNA was found to be 1 fg by M-nested PCR, which was 106 -fold lower than M-PCR. Moreover, sensitivities of 100% and 81·8% were obtained in confirmed (n = 5) and clinically suspected UGTB (n = 55) cases, respectively, by M-nested PCR, with a specificity of 97·1% (n = 70). Sensitivities attained by M-nested PCR were significantly higher (p < 0·05) than M-PCR in both clinically suspected and total UGTB (n = 60) cases. To confirm the true PCR-negative results, an internal amplification control, that is, human β-globin gene (hbb) was incorporated in the M-nested PCR/M-PCR assays, wherein all the clinical specimens (positive/negative for mpt64/IS6110) were found to be positive for hbb. Some UGTB specimens (n = 35) were also subjected to GeneXpert® MTB/RIF assay that revealed a significantly lower (p < 0·001) sensitivity (17·1 vs 88·6%) than M-nested PCR, although high specificity (100%) was attained with GeneXpert. After validating the results in a higher number of UGTB specimens, our M-nested PCR may be translated into an attractive diagnostic kit.
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Affiliation(s)
- E Kamra
- Centre for Biotechnology, Maharshi Dayanand University, Rohtak, India
| | - D Alam
- Centre for Biotechnology, Maharshi Dayanand University, Rohtak, India
| | - V Singh
- Department of Geriatric Medicine, All India Institute of Medical Sciences, New Delhi, India
| | - M Kumar
- Department of Urology, Pandit Bhagwat Dayal Sharma University of Health Sciences (UHS), Rohtak, India
| | - M Chauhan
- Department of Obstetrics and Gynaecology, UHS, Rohtak, India
| | - P K Mehta
- Centre for Biotechnology, Maharshi Dayanand University, Rohtak, India
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Antonello M, Scutari R, Lauricella C, Renica S, Motta V, Torri S, Russo C, Gentile L, Cento V, Colagrossi L, Mattana G, Codecasa LR, Vismara C, Scaglione F, Veronese SM, Bonoldi E, Bandera A, Gori A, Mazzola E, Perno CF, Alteri C. Rapid Detection and Quantification of Mycobacterium tuberculosis DNA in Paraffinized Samples by Droplet Digital PCR: A Preliminary Study. Front Microbiol 2021; 12:727774. [PMID: 34589075 PMCID: PMC8475183 DOI: 10.3389/fmicb.2021.727774] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2021] [Accepted: 08/16/2021] [Indexed: 01/23/2023] Open
Abstract
Background: Rapid and reliable diagnosis of tuberculosis (TB) represents a diagnostic challenge in compartmentalized extrapulmonary TB infection because of the small number of mycobacteria (MTB) and the frequent lack of fresh samples to perform culture. Here, we estimate the performances of homemade droplet digital PCR (ddPCR)-based assays against culture in 89 biopsies, for those fresh and formalin-fixed and paraffin-embedded (FFPE) subsamples were available. Methods: MTB diagnosis in fresh subsamples was performed by culture. Fresh subsamples were also analyzed for acid-fast bacilli smear-microscopy (AFB) and Xpert® MTB/RIF (Xpert). MTB examination was repeated in blind in the 89 FFPE subsamples by in-house ddPCR assays targeting the IS6110 and rpoB. Analytical sensitivity of ddPCR assays was evaluated using serial dilution of H37Rv strain. Limit of detection (LOD) was calculated by probit analysis. Results were expressed in copies/106 cells. Results: IS6110 and rpoB ddPCR assays showed a good linear correlation between expected and observed values (R2: 0.9907 and 0.9743, respectively). Probit analyses predicted a LOD of 17 and 40 copies/106 cells of MTB DNA for IS6110 and rpoB, respectively. Of the 89 biopsies, 68 were culture positive and 21 were culture negative. Considering mycobacterial culture as reference method, IS6110 assay yielded positive results in 67/68 culture-positive samples with a median interquartile range (IQR) of 1,680 (550–8,444) copies/106 cells (sensitivity: 98.5%; accuracy: 98.9). These performances were superior to those reported by the rpoB assay in FFPE subsamples (sensitivity: 66.20%; accuracy: 74.1) and even superior to those reported by Xpert and AFB in fresh subsamples (sensitivity: 79.4 and 33.8%, respectively; accuracy: 84.3 and 49.4, respectively). When Xpert and AFB results were stratified according to mycobacterial load detected by rpoB and IS6110 ddPCR, bacterial load was lower in Xpert and AFB negative with respect to Xpert and AFB-positive samples (p = 0.003 and 0.01 for rpoB and p = 0.01 and 0.11 for IS6110), confirming the poor sensitivity of these methods in paucibacillary disease. Conclusion: ddPCR provides highly sensitive, accurate, and rapid MTB diagnosis in FFPE samples, as defined by the high concordance between IS6110 assay and culture results. This approach can be safely introduced in clinical routine to accelerate MTB diagnosis mainly when culture results remain unavailable.
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Affiliation(s)
- Maria Antonello
- Department of Oncology and Hemato-Oncology, University of Milan, Milan, Italy
| | - Rossana Scutari
- Department of Experimental Medicine, University of Rome "Tor Vergata,"Rome, Italy
| | - Calogero Lauricella
- Department of Pathology, ASST Grande Ospedale Metropolitano Niguarda, Milan, Italy
| | - Silvia Renica
- Department of Oncology and Hemato-Oncology, University of Milan, Milan, Italy
| | - Valentina Motta
- Department of Pathology, ASST Grande Ospedale Metropolitano Niguarda, Milan, Italy
| | - Stefania Torri
- Unit of Microbiology, Department of Chemical-Clinical and Microbiology Analyses, ASST Grande Ospedale Metropolitano Niguarda, Milan, Italy
| | - Cristina Russo
- Unit of Microbiology and Diagnostic Immunology, Bambino Gesù Children's Hospital, IRCCS, Rome, Italy
| | - Leonarda Gentile
- Unit of Microbiology and Diagnostic Immunology, Bambino Gesù Children's Hospital, IRCCS, Rome, Italy
| | - Valeria Cento
- Department of Oncology and Hemato-Oncology, University of Milan, Milan, Italy
| | - Luna Colagrossi
- Unit of Microbiology and Diagnostic Immunology, Bambino Gesù Children's Hospital, IRCCS, Rome, Italy
| | - Giordana Mattana
- Unit of Microbiology and Diagnostic Immunology, Bambino Gesù Children's Hospital, IRCCS, Rome, Italy
| | - Luigi Ruffo Codecasa
- Regional TB Reference Centre, Villa Marelli Institute, ASST Grande Ospedale Metropolitano Niguarda, Milan, Italy
| | - Chiara Vismara
- Unit of Microbiology, Department of Chemical-Clinical and Microbiology Analyses, ASST Grande Ospedale Metropolitano Niguarda, Milan, Italy
| | - Francesco Scaglione
- Department of Oncology and Hemato-Oncology, University of Milan, Milan, Italy.,Unit of Microbiology, Department of Chemical-Clinical and Microbiology Analyses, ASST Grande Ospedale Metropolitano Niguarda, Milan, Italy
| | | | - Emanuela Bonoldi
- Department of Pathology, ASST Grande Ospedale Metropolitano Niguarda, Milan, Italy
| | - Alessandra Bandera
- Infectious Disease Unit, Department of Internal Medicine, Fondazione IRCCS Ca' Granda, Ospedale Maggiore Policlinico, Milan, Italy.,Department of Pathophysiology and Transplantation, University of Milan, Milan, Italy
| | - Andrea Gori
- Infectious Disease Unit, Department of Internal Medicine, Fondazione IRCCS Ca' Granda, Ospedale Maggiore Policlinico, Milan, Italy.,Department of Pathophysiology and Transplantation, University of Milan, Milan, Italy
| | - Ester Mazzola
- Unit of Microbiology, Department of Chemical-Clinical and Microbiology Analyses, ASST Grande Ospedale Metropolitano Niguarda, Milan, Italy
| | - Carlo Federico Perno
- Unit of Microbiology and Diagnostic Immunology, Bambino Gesù Children's Hospital, IRCCS, Rome, Italy.,Multimodal Medicine Research Area, Bambino Gesù Children's Hospital, IRCCS, Rome, Italy
| | - Claudia Alteri
- Department of Oncology and Hemato-Oncology, University of Milan, Milan, Italy.,Multimodal Medicine Research Area, Bambino Gesù Children's Hospital, IRCCS, Rome, Italy
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