Publication: The temporal dynamics of humoral immunity to Rickettsia typhi infection in murine typhus patients
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Issued Date
2019-01-01
Resource Type
ISSN
14690691
1198743X
1198743X
Other identifier(s)
2-s2.0-85075852101
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Mahidol University
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SCOPUS
Bibliographic Citation
Clinical Microbiology and Infection. (2019)
Suggested Citation
K. Phakhounthong, M. Mukaka, S. Dittrich, A. Tanganuchitcharnchai, N. P.J. Day, L. J. White, P. N. Newton, S. D. Blacksell The temporal dynamics of humoral immunity to Rickettsia typhi infection in murine typhus patients. Clinical Microbiology and Infection. (2019). doi:10.1016/j.cmi.2019.10.022 Retrieved from: https://repository.li.mahidol.ac.th/handle/123456789/52300
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Title
The temporal dynamics of humoral immunity to Rickettsia typhi infection in murine typhus patients
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Abstract
© 2019 The Author(s) Objectives: This study examined individuals with Rickettsia typhi infection in the Lao People's Democratic Republic (Lao PDR) to (a) investigate humoral immune dynamics; (b) determine the differences in reference diagnostic results and recommend appropriate cut-offs; (c) determine differences in immune response after different antibiotic treatments; and (d) determine appropriate diagnostic cut-off parameters for indirect immunofluorescence assay (IFA). Methods: Sequential serum samples from 90 non-pregnant, adults were collected at seven time-points (days 0, 7, 14, 28, 90, 180 and 365) as part of a clinical antibiotic treatment trial. Samples were tested using IFA to determine IgM and IgG antibody reciprocal end-point titres against R. typhi and PCR. Results: For all 90 individuals, reciprocal R. typhi IgM and IgG antibody titres ranged from <400 to ≥3200. The median half-life of R. typhi IgM was 126 days (interquartile range 36–204 days) and IgG was 177 days (interquartile range 134–355 days). Overall median patient titres for R. typhi IgM and IgG were significantly different (p < 0.0001) and at each temporal sample collection point (range p < 0.0001 to p 0.0411). Using Bayesian latent class model analysis, the optimal diagnostic cut-off reciprocal IFA titer on patient admission for IgM was 800 (78.6%, 95% CI 71.6%–85.2% sensitivity; 89.9%, 95% CI 62.5%–100% specificity), and for IFA IgG 1600 (77.3%; 95% CI 68.2%–87.6% sensitivity; 99%, 95% CI 95%–100% specificity). Conclusions: This study suggests suitable diagnostic cut-offs for local diagnostic laboratories and other endemic settings and highlights antibody persistence following acute infection. Further studies are required to validate and define cut-offs in other geographically diverse locations.