Literature DB >> 16421789

Conjunctival chlamydial 16S ribosomal RNA expression in trachoma: is chlamydial metabolic activity required for disease to develop?

Matthew J Burton1, Martin J Holland, David Jeffries, David C W Mabey, Robin L Bailey.   

Abstract

BACKGROUND: Nucleic acid amplification testing frequently detects conjunctival Chlamydia trachomatis infection in subjects without clinical signs of trachoma. It is unclear whether such subjects are actually infected. We measured chlamydial 16S ribosomal RNA (rRNA) expression, a marker of chlamydial metabolic activity, in comparison with the quantitation of a chlamydial DNA target in subjects exposed to trachoma.
METHODS: Subjects from 2 Gambian villages where trachoma was endemic were examined. Conjunctival samples were tested for the presence of C. trachomatis DNA using a quantitative real-time polymerase chain reaction (PCR) assay for the omp1 gene and for the expression of C. trachomatis 16S rRNA using a 1-step, real-time reverse-transcriptase PCR assay.
RESULTS: A total of 248 people were examined. The prevalence of clinically active trachoma was 16.9%. C. trachomatis was detected in 19.8% and 6.8% of subjects by the omp1 and 16S rRNA assays, respectively. For subjects with positive results for both tests, the number of copies of 16S rRNA was approximately 100-fold greater than the number of copies of the omp1 gene. In samples from subjects in whom the omp1 gene was detected in the absence of 16S rRNA, typically only a few copies of omp1 were present. The expression of 16S rRNA was strongly associated with the presence of clinical signs of active trachoma.
CONCLUSIONS: The use of 16S rRNA expression for the detection of chlamydial metabolic activity appears to usefully discriminate established infections from the inoculation of the conjunctiva with dead or subviable organisms, which probably occurs frequently in settings in which trachoma is endemic. The data support conclusions from primate challenge studies that live Chlamydiae species or antigens derived from them are needed to provoke the clinical signs of disease.

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Year:  2006        PMID: 16421789     DOI: 10.1086/499814

Source DB:  PubMed          Journal:  Clin Infect Dis        ISSN: 1058-4838            Impact factor:   9.079


  11 in total

1.  rRNA-based tests for chlamydial infection in trachoma.

Authors:  Robin Bailey
Journal:  Br J Ophthalmol       Date:  2007-03       Impact factor: 4.638

2.  Active trachoma and ocular Chlamydia trachomatis infection in two Gambian regions: on course for elimination by 2020?

Authors:  Emma M Harding-Esch; Tansy Edwards; Ansumana Sillah; Isatou Sarr; Chrissy H Roberts; Paul Snell; Esther Aryee; Sandra Molina; Martin J Holland; David C W Mabey; Robin L Bailey
Journal:  PLoS Negl Trop Dis       Date:  2009-12-22

3.  Comparison of an rRNA-based and DNA-based nucleic acid amplification test for the detection of Chlamydia trachomatis in trachoma.

Authors:  Jon L Yang; Julius Schachter; Jeanne Moncada; Dereje Habte; Mulat Zerihun; Jenafir I House; Zhaoxia Zhou; Kevin C Hong; Kathryn Maxey; Bruce D Gaynor; Thomas M Lietman
Journal:  Br J Ophthalmol       Date:  2006-10-18       Impact factor: 4.638

4.  The natural history of trachoma infection and disease in a Gambian cohort with frequent follow-up.

Authors:  Nicholas C Grassly; Michael E Ward; Shirley Ferris; David C Mabey; Robin L Bailey
Journal:  PLoS Negl Trop Dis       Date:  2008-12-02

Review 5.  Laboratory diagnosis of persistent human chlamydial infection.

Authors:  Mirja Puolakkainen
Journal:  Front Cell Infect Microbiol       Date:  2013-12-17       Impact factor: 5.293

6.  Profiling and validation of individual and patterns of Chlamydia trachomatis-specific antibody responses in trachomatous trichiasis.

Authors:  Harry Pickering; Sarah E Burr; Tamsyn Derrick; Pateh Makalo; Hassan Joof; Richard D Hayward; Martin J Holland
Journal:  Parasit Vectors       Date:  2017-03-13       Impact factor: 3.876

7.  Spatial clustering of high load ocular Chlamydia trachomatis infection in trachoma: a cross-sectional population-based study.

Authors:  Anna Last; Sarah Burr; Neal Alexander; Emma Harding-Esch; Chrissy H Roberts; Meno Nabicassa; Eunice Teixeira da Silva Cassama; David Mabey; Martin Holland; Robin Bailey
Journal:  Pathog Dis       Date:  2017-07-31       Impact factor: 3.166

8.  Population-based analysis of ocular Chlamydia trachomatis in trachoma-endemic West African communities identifies genomic markers of disease severity.

Authors:  A R Last; H Pickering; C H Roberts; F Coll; J Phelan; S E Burr; E Cassama; M Nabicassa; H M B Seth-Smith; J Hadfield; L T Cutcliffe; I N Clarke; D C W Mabey; R L Bailey; T G Clark; N R Thomson; M J Holland
Journal:  Genome Med       Date:  2018-02-26       Impact factor: 11.117

9.  Detection of Chlamydiaceae and Chlamydia-like organisms on the ocular surface of children and adults from a trachoma-endemic region.

Authors:  Ehsan Ghasemian; Aleksandra Inic-Kanada; Astrid Collingro; Florian Tagini; Elisabeth Stein; Hadeel Alchalabi; Nadine Schuerer; Darja Keše; Balgesa Elkheir Babiker; Nicole Borel; Gilbert Greub; Talin Barisani-Asenbauer
Journal:  Sci Rep       Date:  2018-05-09       Impact factor: 4.379

10.  Trachoma and Relative Poverty: A Case-Control Study.

Authors:  Esmael Habtamu; Tariku Wondie; Sintayehu Aweke; Zerihun Tadesse; Mulat Zerihun; Zebideru Zewdie; Kelly Callahan; Paul M Emerson; Hannah Kuper; Robin L Bailey; David C W Mabey; Saul N Rajak; Sarah Polack; Helen A Weiss; Matthew J Burton
Journal:  PLoS Negl Trop Dis       Date:  2015-11-23
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