Diagnostic dilemma: application of real-time PCR assays for the detection of Dientamoeba fragilis in medical and veterinary specimens

被引:0
|
作者
Hall, Luke M. [1 ]
Ellis, John T. [1 ]
Stark, Damien J. [2 ]
机构
[1] Univ Technol Sydney, Sch Life Sci, Broadway, NSW 2007, Australia
[2] St Vincents Hosp, Div Microbiol, SydPath, Darlinghurst, NSW 2010, Australia
来源
PARASITES & VECTORS | 2025年 / 18卷 / 01期
关键词
<italic>Dientamoeba fragilis</italic>; Zoonosis; Molecular detection; Diagnostics; GASTROINTESTINAL SYMPTOMS; LIFE-CYCLE; PREVALENCE; CHILDREN; INFECTION; CYST; DNA;
D O I
10.1186/s13071-025-06730-1
中图分类号
R38 [医学寄生虫学]; Q [生物科学];
学科分类号
07 ; 0710 ; 09 ; 100103 ;
摘要
BackgroundReal-time PCR (qPCR) diagnostics developed for use in human clinical settings have been implemented to identify new animal hosts of the gastrointestinal protozoan Dientamoeba fragilis. The gut microbiome varies between species; unrecognised cross-reactivity could occur when applying these assays to new animal hosts. The use of qPCR diagnostics was assessed for the identification of new animal hosts of the gastrointestinal protozoan Dientamoeba fragilis.MethodsForty-nine cattle, 84 dogs, 39 cats and 254 humans were screened for D. fragilis using two qPCR assays: EasyScreen (Genetic Signatures) and a laboratory-based assay commonly used in Europe. The reliability of the identifications made by these assays were assessed using melt curve analysis of qPCR products, conventional PCR targeting the SSU rDNA sequencing and NGS amplicon sequencing of qPCR product.ResultsPCR products from the D. fragilis identified in cattle had a 9 degrees C cooler melt curve than when detected in humans. This melt curve discrepancy, indicative of cross-reactivity with an unknown organism, was investigated further. DNA sequencing determined that Simplicimonas sp. was the genera responsible for this cross-reactivity in cattle specimens. Dientamoeba fragilis was not detected in either dogs or cats. There was a discrepancy in the number of positive samples detected using the two qPCR assays when applied to human samples. The EasyScreen assay detected 24 positive samples; the laboratory-based assay detected an additional 34 positive samples. Of the discrepant samples, 5 returned sequence data for D. fragilis, and 29 were unsupported (false) positive samples.ConclusionsAnalysis of the melt curve after the qPCR reaction is a valuable technique to help differentiate samples containing D. fragilis compared to cross-reactions with non-target organisms. The identification of new animal hosts requires further evidence from either microscopy or DNA sequencing to confirm the presence of D. fragilis. Additionally, to reduce the risk of false-positive results due to non-specific amplification, we recommend reducing the number of PCR cycles to less than 40. Based on these results, we consider the ramifications of this identified cross-reactivity to the known host species distribution of D. fragilis.
引用
收藏
页数:10
相关论文
共 50 条
  • [21] Comparison of six real-time PCR assays for the detection of herpes simplex virus in clinical specimens
    Berry, J. C.
    Smith, T. F.
    Espy, M. J.
    Irish, C. L.
    Manahan, K. M.
    Schneider, S. K.
    JOURNAL OF MOLECULAR DIAGNOSTICS, 2006, 8 (05): : 648 - 648
  • [22] Detection of monkeypox virus with real-time PCR assays
    Li, Yu
    Olson, Victoria A.
    Laue, Thomas
    Laker, Miriam T.
    Damon, Inger K.
    JOURNAL OF CLINICAL VIROLOGY, 2006, 36 (03) : 194 - 203
  • [23] Evaluation of Five Commercial Real-Time PCR Assays for Detection of Mycoplasma pneumoniae in Respiratory Tract Specimens
    Touati, A.
    Benard, A.
    Hassen, A. Ben
    Bebear, C. M.
    Pereyre, S.
    JOURNAL OF CLINICAL MICROBIOLOGY, 2009, 47 (07) : 2269 - 2271
  • [24] Mpox detection in clinical specimens by three commercial real-time PCR assays demonstrates comparable results
    Hurley, Siobhan
    Kim, Ki Wook
    Domazetovska, Ana
    Yau, Cynthia
    Yeang, Malinna
    Donovan, Linda
    Kok, Jen
    Rawlinson, William
    PATHOLOGY, 2024, 56 (05)
  • [25] Development, Optimisation and Validation of a Novel Multiplex Real-Time PCR Method for the Simultaneous Detection of Cryptosporidium spp., Giardia duodenalis and Dientamoeba fragilis
    Sanchez, Isbene
    Dashti, Alejandro
    Koster, Pamela C.
    Bailo, Begona
    Gonzalez, Nuria
    Allende, Janire
    Stensvold, Christen Rune
    Carmena, David
    Gonzalez-Barrio, David
    PATHOGENS, 2022, 11 (11):
  • [26] Real-Time Reverse Transcription PCR Assay for Detection of Senecavirus A in Swine Vesicular Diagnostic Specimens
    Bracht, Alexa J.
    O'Hearn, Emily S.
    Fabian, Andrew W.
    Barrette, Roger W.
    Sayed, Abu
    PLOS ONE, 2016, 11 (01):
  • [27] Real-time PCR assays for detection and quantification of sweetpotato viruses
    Kokkinos, C. D.
    Clark, C. A.
    PLANT DISEASE, 2006, 90 (06) : 783 - 788
  • [28] Towards fluorescence anisotropy detection for real-time PCR assays
    Crane, B
    Sudo, H
    Thilly, WG
    Hunter, IW
    PROCEEDINGS OF THE 25TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-4: A NEW BEGINNING FOR HUMAN HEALTH, 2003, 25 : 3060 - 3063
  • [29] Real-time PCR assays for the detection and quantification of Streptococcus pneumoniae
    Park, Hee Kuk
    Lee, Hee Jung
    Kim, Wonyong
    FEMS MICROBIOLOGY LETTERS, 2010, 310 (01) : 48 - 53
  • [30] Detection of Coccidioides species in clinical specimens by real-time PCR
    Binnicker, M. J.
    Buckwalter, S. P.
    Eisberner, J. J.
    Stewart, R. A.
    McCullough, A. E.
    Wohlfiel, S. L.
    Wengenack, N. L.
    JOURNAL OF CLINICAL MICROBIOLOGY, 2007, 45 (01) : 173 - 178