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Lee HW, Yu HJ, Kim H, Yun SA, Suh E, Kang M, Kim TY, Huh HJ, Lee NY. Comparative evaluation of the STANDARD M10 and Xpert C. difficile assays for detection of toxigenic Clostridioides difficile in stool specimens. J Clin Microbiol 2024; 62:e0052424. [PMID: 38934589 PMCID: PMC11250526 DOI: 10.1128/jcm.00524-24] [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: 04/05/2024] [Accepted: 06/11/2024] [Indexed: 06/28/2024] Open
Abstract
This study compared the performance of two commercial molecular assays, the STANDARD M10 Clostridioides difficile assay (M10) and the Xpert C. difficile assay (Xpert), for detecting toxigenic C. difficile in stool specimens. A total of 487 consecutive stool specimens submitted for routine C. difficile testing between June and November 2023 were included. Following routine testing using C. DIFF QUIK CHEK COMPLETE (QCC), M10 and Xpert were tested in parallel, alongside toxigenic culture (reference standard). Additionally, two-step algorithms, using QCC on the first step and either M10 or Xpert on the second step, were assessed. Both M10 and Xpert demonstrated a sensitivity and negative predictive value (NPV) of 100%. M10 exhibited significantly higher specificity and positive predictive value (PPV; 91.9% and 64.2%, respectively) than Xpert (90.3% and 59.8%, respectively). Both two-step algorithms showed a sensitivity and NPV of 98.4% and 99.8%, respectively. The specificity and PPV of the two-step algorithm using M10 (95.2% and 75.0%, respectively) were slightly higher than those of the one using Xpert (94.8% and 73.2%, respectively), without statistical significance. Receiver operating characteristic curve analysis, assessing the predictive ability of cycle threshold (Ct) values for the detection of free toxin, exhibited an area under the curve of 0.825 for M10 and 0.843 for Xpert. This indicates the utility of Ct values as predictors for the detection of free toxin in both assays. In conclusion, M10 proves to be an effective diagnostic tool with performance comparable to Xpert, whether utilized independently or as part of a two-step algorithm.
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Affiliation(s)
- Hyun-Woo Lee
- Department of Laboratory Medicine and Genetics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
| | - Hui-Jin Yu
- Department of Laboratory Medicine, Seoul Medical Center, Seoul, South Korea
| | - Heejung Kim
- Department of Laboratory Medicine, Seoul Medical Center, Seoul, South Korea
| | - Sun Ae Yun
- Center for Clinical Medicine, Samsung Biomedical Research Institute, Samsung Medical Center, Seoul, South Korea
| | - Eunsang Suh
- Department of Laboratory Medicine and Genetics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
| | - Minhee Kang
- Biomedical Engineering Research Center, Smart Healthcare Research Institute, Samsung Medical Center, Seoul, South Korea
- Department of Medical Device Management and Research, Samsung Advanced Institute for Health Sciences and Technology, Sungkyunkwan University, Seoul, South Korea
| | - Tae Yeul Kim
- Department of Laboratory Medicine and Genetics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
| | - Hee Jae Huh
- Department of Laboratory Medicine and Genetics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
| | - Nam Yong Lee
- Department of Laboratory Medicine and Genetics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
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Bocchetti M, Ferraro MG, Melisi F, Grisolia P, Scrima M, Cossu AM, Yau TO. Overview of current detection methods and microRNA potential in Clostridioides difficile infection screening. World J Gastroenterol 2023; 29:3385-3399. [PMID: 37389232 PMCID: PMC10303512 DOI: 10.3748/wjg.v29.i22.3385] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/25/2023] [Revised: 03/23/2023] [Accepted: 05/04/2023] [Indexed: 06/06/2023] Open
Abstract
Clostridioides difficile (formerly called Clostridium difficile, C. difficile) infection (CDI) is listed as an urgent threat on the 2019 antibiotic resistance threats report in the United States by the Centers for Disease Control and Prevention. Early detection and appropriate disease management appear to be essential. Meanwhile, although the majority of cases are hospital-acquired CDI, community-acquired CDI cases are also on the rise, and this vulnerability is not limited to immunocompromised patients. Gastrointestinal treatments and/or gastrointestinal tract surgeries may be required for patients diagnosed with digestive diseases. Such treatments could suppress or interfere with the patient’s immune system and disrupt gut flora homeostasis, creating a suitable microecosystem for C. difficile overgrowth. Currently, stool-based non-invasive screening is the first-line approach to CDI diagnosis, but the accuracy is varied due to different clinical microbiology detection methods; therefore, improving reliability is clearly required. In this review, we briefly summarised the life cycle and toxicity of C. difficile, and we examined existing diagnostic approaches with an emphasis on novel biomarkers such as microRNAs. These biomarkers can be easily detected through non-invasive liquid biopsy and can yield crucial information about ongoing pathological phenomena, particularly in CDI.
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Affiliation(s)
- Marco Bocchetti
- Department of Precision Medicine, University of Campania “Luigi Vanvitelli,” Naples 80138, Italy
- Department of Molecular Oncology, Precision Medicine Laboratory and COVID19 Laboratory, Biogem Scarl, Ariano Irpino 83031, Italy
| | - Maria Grazia Ferraro
- School of Infection and Immunity, College of Medical Veterinary and Life Sciences, University of Glasgow, Glasgow G12 8QQ, United Kingdom
- Department of Pharmacy, School of Medicine and Surgery, University of Naples “Federico II,” Naples 80131, Italy
| | - Federica Melisi
- Department of Precision Medicine, University of Campania “Luigi Vanvitelli,” Naples 80138, Italy
- Department of Molecular Oncology, Precision Medicine Laboratory and COVID19 Laboratory, Biogem Scarl, Ariano Irpino 83031, Italy
| | - Piera Grisolia
- Department of Precision Medicine, University of Campania “Luigi Vanvitelli,” Naples 80138, Italy
- Department of Molecular Oncology, Precision Medicine Laboratory and COVID19 Laboratory, Biogem Scarl, Ariano Irpino 83031, Italy
| | - Marianna Scrima
- Department of Molecular Oncology, Precision Medicine Laboratory and COVID19 Laboratory, Biogem Scarl, Ariano Irpino 83031, Italy
| | - Alessia Maria Cossu
- Department of Precision Medicine, University of Campania “Luigi Vanvitelli,” Naples 80138, Italy
- Department of Molecular Oncology, Precision Medicine Laboratory and COVID19 Laboratory, Biogem Scarl, Ariano Irpino 83031, Italy
| | - Tung On Yau
- School of Science and Technology, Nottingham Trent University, Nottingham NG11 8NS, United Kingdom
- Department of Rural Land Use, Scotland’s Rural College, Aberdeen AB21 9YA, Scotland, United Kingdom
- Department of Health Science, University of the People, Pasadena, CA 9110112, United States
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Zhang X, Das S, Dunbar S, Tang YW. Molecular and non-molecular approaches to etiologic diagnosis of gastroenteritis. Adv Clin Chem 2020; 99:49-85. [PMID: 32951639 DOI: 10.1016/bs.acc.2020.02.007] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
Gastroenteritis is a major cause of mortality and morbidity globally and rapid identification of the causative pathogen is important for appropriate treatment and patient management, implementation of effective infection control measures, reducing hospital length of stay, and reducing overall medical costs. Although stool culture and microscopic examination of diarrheal stool has been the primary method for laboratory diagnosis, culture-independent proteomic and genomic tests are receiving increased attention. Antigen tests for stool pathogens are routinely implemented as rapid and simple analytics whereas molecular tests are now available in various formats from high complexity to waived point-of-care tests. In addition, metagenomic next-generation sequencing stands poised for use as a method for both diagnosis and routine characterization of the gut microbiome in the very near future. Analysis of host biomarkers as indicators of infection status and pathogenesis may also become important for prediction, diagnosis, and monitoring of gastrointestinal infection. Here we review current methods and emerging technologies for the etiologic diagnosis of gastroenteritis in the clinical laboratory. Benefits and limitations of these evolving methods are highlighted.
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Affiliation(s)
- Xin Zhang
- Sichuan Academy of Medical Sciences & Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China; Memorial Sloan Kettering Cancer Center, New York, NY, United States
| | | | | | - Yi-Wei Tang
- Memorial Sloan Kettering Cancer Center, New York, NY, United States; Weill Medical College of Cornell University, New York, NY, United States; Cepheid, Danaher Diagnostic Platform, Shanghai, China.
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Detection of C. difficile toxin as a model assay for performing fully automated high-throughput RT-PCR on clinical stool samples. J Microbiol Methods 2020; 172:105882. [DOI: 10.1016/j.mimet.2020.105882] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2019] [Revised: 02/27/2020] [Accepted: 02/27/2020] [Indexed: 01/02/2023]
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