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Chen X, Huang H, Su Y, Zhou X, Liao M, Li Y, Cheng Z, Jin M, Tian J, Wang H. Validation and evaluation of the performance of QIAstat-Dx gastrointestinal panel in pooled stool samples. Acta Trop 2025; 261:107514. [PMID: 39732309 DOI: 10.1016/j.actatropica.2024.107514] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2024] [Revised: 12/04/2024] [Accepted: 12/25/2024] [Indexed: 12/30/2024]
Abstract
In the current study, the analytical sensitivity, analytical specificity, reproducibility, anti-interferences ability, and clinical performance of the QIAstat-Dx Gastrointestinal Panel (GIP) system were evaluated using pooled stool samples. Results showed that the pooled sample test detected the selected ten targets exclusively, with no cross reaction with any other targets of common enteropathogens. The analytical sensitivity of the pooled sample test on QIAstat-Dx GIP system was 102 CFU/ml for Shigella spp., 103 CFU/ml for Salmonella spp., Y. enterocolitica, Enterotoxigenic Escherichia coli, Enteropathogenic E. coli, 104 CFU/ml for V. cholerae, 102 copies/ml for Norovirus, 103 copies/ml for Rotavirus, Astrovirus, Sapovirus, respectively. The Coefficients of variation (CV) during the detection of V. cholerae, Salmonella spp., Y. enterocolitica, Enterotoxigenic E. coli, Enteropathogenic E. coli, Shigella spp., Rotavirus, Norovirus, Astrovirus, and Sapovirus detection was 2.3 %, 2.7 %, 3.9 %, 4.2 %, 1.7 %, 2.6 %, 6.7 %, 1.4 %, 1.3 % and 2.7 %, respectively, indicating the high reproducibility of the pooled sample test, except for Rotavirus. When potentially interfering agents were added, the shifted Ct value was less than the cut off value, suggesting the good anti-interferences ability. During clinical evaluation, the pooled sample test was 97.8 % concordant with gold standard methods (bacterial culture for bacteria and qPCR for viruses). Our results suggest that QIAstat-Dx GIP system could be used for pooled sample test for enteropathogens screening, which would be more economical and could improve throughput while provide comparable test performance.
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Affiliation(s)
- Xinbin Chen
- Key Laboratory of Diarrhea Disease Detection, Zhuhai International Travel Healthcare Center, Zhuhai 519020, Guangdong, PR China
| | - Huina Huang
- Key Laboratory of Diarrhea Disease Detection, Zhuhai International Travel Healthcare Center, Zhuhai 519020, Guangdong, PR China
| | - Ying Su
- Key Laboratory of Diarrhea Disease Detection, Zhuhai International Travel Healthcare Center, Zhuhai 519020, Guangdong, PR China
| | - Xiaojian Zhou
- Key Laboratory of Diarrhea Disease Detection, Zhuhai International Travel Healthcare Center, Zhuhai 519020, Guangdong, PR China
| | - Menghua Liao
- Key Laboratory of Diarrhea Disease Detection, Zhuhai International Travel Healthcare Center, Zhuhai 519020, Guangdong, PR China
| | - Yanhua Li
- Key Laboratory of Diarrhea Disease Detection, Zhuhai International Travel Healthcare Center, Zhuhai 519020, Guangdong, PR China
| | - Zidong Cheng
- Key Laboratory of Diarrhea Disease Detection, Zhuhai International Travel Healthcare Center, Zhuhai 519020, Guangdong, PR China
| | - Muzi Jin
- Hohhot International Travel Healthcare Center, Hohhot 010000, Inner Mongolia, PR China
| | - Jie Tian
- Science and Technology Research Center of China Customs, Beijing 100026, PR China
| | - Haibo Wang
- Key Laboratory of Diarrhea Disease Detection, Zhuhai International Travel Healthcare Center, Zhuhai 519020, Guangdong, PR China.
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Johansen RL, Schouw CH, Madsen TV, Nielsen XC, Engberg J. Epidemiology of gastrointestinal infections: lessons learned from syndromic testing, Region Zealand, Denmark. Eur J Clin Microbiol Infect Dis 2023; 42:1091-1101. [PMID: 37468662 PMCID: PMC10427544 DOI: 10.1007/s10096-023-04642-5] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2023] [Accepted: 07/09/2023] [Indexed: 07/21/2023]
Abstract
The aim of this study was to investigate the value of syndromic diagnostic testing for a better understanding of the epidemiology of gastrointestinal infections in Denmark. Here we evaluated the QIAstat-Dx® Gastrointestinal (GI) Panel 1 assay on 18,610 fecal samples requested for analysis for enteric pathogens in Region Zealand, Denmark, in 1 year (October 1, 2021, to September 30, 2022). In total, 6905 (37%) samples were detected positive for one or more diarrhoeal bacteria, viruses, and protozoa. The most common bacterial, viral, and parasitic pathogens detected with the QIAstat-Dx® Gastrointestinal Panel 1 were EPEC (in patients ≥ 2 years of age) (n = 1420 (20.6%)), rotavirus (n = 948 (13.7%)), and Cryptosporidium spp. (n = 196 (2.84%)). We identified a large diversity in infections likely reflecting substantial differences in the epidemiology including origin of infections, mode of transmission, seasonality, age-dependent susceptibility to disease, severity, and travel history. All pathogens were detected as both single and coinfections. Viral infections peaked in March with a positive rate of 31.6%, and bacterial infections peaked in August with a positive rate of 35.3%. ETEC, Shigella/EIEC, EAEC, and P. shigelloides were most related to travel activity, and coinfections were frequent. The distribution of Ct values varied significantly between the pathogens, with the lowest Ct values (median 17-18) observed in astrovirus, adenovirus, and rotavirus. Our results highlight the value of providing extensive diagnostic testing on fecal samples for sufficient detection of relevant diarrhoeal pathogens for optimal clinical care.
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Affiliation(s)
- Rikke Lykke Johansen
- The Regional Department of Clinical Microbiology, Zealand University Hospital, Koege, Ingemannsvej 46, DK-4200, Slagelse, Denmark
| | - Christian Højte Schouw
- The Regional Department of Clinical Microbiology, Zealand University Hospital, Koege, Ingemannsvej 46, DK-4200, Slagelse, Denmark
| | - Tina Vasehus Madsen
- The Regional Department of Clinical Microbiology, Zealand University Hospital, Koege, Ingemannsvej 46, DK-4200, Slagelse, Denmark
| | - Xiaohui Chen Nielsen
- The Regional Department of Clinical Microbiology, Zealand University Hospital, Koege, Ingemannsvej 46, DK-4200, Slagelse, Denmark
| | - Jørgen Engberg
- The Regional Department of Clinical Microbiology, Zealand University Hospital, Koege, Ingemannsvej 46, DK-4200, Slagelse, Denmark.
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Fang X, Kang L, Qiu YF, Li ZS, Bai Y. Yersinia enterocolitica in Crohn’s disease. Front Cell Infect Microbiol 2023; 13:1129996. [PMID: 36968108 PMCID: PMC10031030 DOI: 10.3389/fcimb.2023.1129996] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2022] [Accepted: 02/13/2023] [Indexed: 03/11/2023] Open
Abstract
Increasing attention is being paid to the unique roles gut microbes play in both physiological and pathological processes. Crohn’s disease (CD) is a chronic, relapsing, inflammatory disease of the gastrointestinal tract with unknown etiology. Currently, gastrointestinal infection has been proposed as one initiating factor of CD. Yersinia enterocolitica, a zoonotic pathogen that exists widely in nature, is one of the most common bacteria causing acute infectious gastroenteritis, which displays clinical manifestations similar to CD. However, the specific role of Y. enterocolitica in CD is controversial. In this Review, we discuss the current knowledge on how Y. enterocolitica and derived microbial compounds may link to the pathogenesis of CD. We highlight examples of Y. enterocolitica-targeted interventions in the diagnosis and treatment of CD, and provide perspectives for future basic and translational investigations on this topic.
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Affiliation(s)
| | | | | | | | - Yu Bai
- *Correspondence: Zhao-Shen Li, ; Yu Bai,
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Savin C, Le Guern AS, Chereau F, Guglielmini J, Heuzé G, Demeure C, Pizarro-Cerdá J. First Description of a Yersinia pseudotuberculosis Clonal Outbreak in France, Confirmed Using a New Core Genome Multilocus Sequence Typing Method. Microbiol Spectr 2022; 10:e0114522. [PMID: 35863020 PMCID: PMC9431522 DOI: 10.1128/spectrum.01145-22] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2022] [Accepted: 06/18/2022] [Indexed: 12/04/2022] Open
Abstract
Yersinia pseudotuberculosis is an enteric pathogen causing mild enteritis that can lead to mesenteric adenitis in children and septicemia in elderly patients. Most cases are sporadic, but outbreaks have already been described in different countries. We report for the first time a Y. pseudotuberculosis clonal outbreak in France, that occurred in 2020. An epidemiological investigation based on food queries pointed toward the consumption of tomatoes as the suspected source of infection. The Yersinia National Reference Laboratory (YNRL) developed a new cgMLST scheme with 1,921 genes specific to Y. pseudotuberculosis that identified the clustering of isolates associated with the outbreak and allowed to perform molecular typing in real time. In addition, this method allowed to retrospectively identify isolates belonging to this cluster from earlier in 2020. This method, which does not require specific bioinformatic skills, is now used systematically at the YNRL and proves to display an excellent discriminatory power and is available to the scientific community. IMPORTANCE We describe in here a novel core-genome MLST method that allowed to identify in real time, and for the first time in France, a Y. pseudotuberculosis clonal outbreak that took place during the summer 2020 in Corsica. Our method allows to support epidemiological and microbiological investigations to establish a link between patients infected with closely associated Y. pseudotuberculosis isolates, and to identify the potential source of infection. In addition, we made this method available for the scientific community.
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Affiliation(s)
- Cyril Savin
- Institut Pasteur, Université de Paris Cité, Yersinia Research Unit, Paris, France
- Institut Pasteur, Université de Paris Cité, Yersinia National Reference Laboratory, Paris, France
- Institut Pasteur, Université de Paris Cité, WHO Collaborating Research & Reference Centre for Yersinia FRA-140, Paris, France
| | - Anne-Sophie Le Guern
- Institut Pasteur, Université de Paris Cité, Yersinia Research Unit, Paris, France
- Institut Pasteur, Université de Paris Cité, Yersinia National Reference Laboratory, Paris, France
- Institut Pasteur, Université de Paris Cité, WHO Collaborating Research & Reference Centre for Yersinia FRA-140, Paris, France
| | - Fanny Chereau
- French National Public Health Agency, Department of Infectious Diseases, Saint-Maurice, France
| | - Julien Guglielmini
- Institut Pasteur, Université de Paris Cité, Hub de Bioinformatique et Biostatistique, Paris, France
| | | | - Christian Demeure
- Institut Pasteur, Université de Paris Cité, Yersinia Research Unit, Paris, France
- Institut Pasteur, Université de Paris Cité, WHO Collaborating Research & Reference Centre for Yersinia FRA-140, Paris, France
| | - Javier Pizarro-Cerdá
- Institut Pasteur, Université de Paris Cité, Yersinia Research Unit, Paris, France
- Institut Pasteur, Université de Paris Cité, Yersinia National Reference Laboratory, Paris, France
- Institut Pasteur, Université de Paris Cité, WHO Collaborating Research & Reference Centre for Yersinia FRA-140, Paris, France
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Fox AS, Rao SN. Syndromic testing for the diagnosis of infectious diseases: the right test if used for the right patient. J Antimicrob Chemother 2021; 76:iii2-iii3. [PMID: 34555153 PMCID: PMC8460101 DOI: 10.1093/jac/dkab248] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Affiliation(s)
- Amy S Fox
- Albert Einstein College of Medicine, Bronx, New York, USA
- Montefiore Medical Center, Bronx, New York, USA
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