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A novel automated method for enumeration of Chlamydia trachomatis inclusion forming units
Su Wang1, Lani Indrawati, Melissa Wooters
1Vaccine Basic Research, Merck Research Laboratories, West Point, PA 19486, USA.
Abstract:
Chlamydia trachomatis is an obligate intracellular pathogen that primarily infects epithelial cells. Traditional methods for quantification of inclusion forming units (IFUs) rely upon infection of epithelial cell monolayers in vitro. Following incubation for approximately 2 days, inclusion bodies that result from infection of cells are detected by immunofluorescent staining with an antibody conjugated to a fluorescent dye. These inclusion bodies are then manually counted by microscopic examination of multiple, randomly selected fields of view. This requires substantial operator time and is subject to investigator bias. We have developed a novel method in which we utilize an automated microplate ImmunoSpot reader to count C. trachomatis IFUs. Following infection of epithelial cells in a 96-well plate and subsequent incubation, IFUs are fixed and detected with an anti-C. trachomatis LPS monoclonal antibody. Immobilized antibody is detected with a biotinylated secondary antibody and visualized enzymatically with streptavidin-alkaline phosphatase and the colorimetric substrate nitro-blue tetrazolium chloride/5-bromo-4-chloro-3-indolyl-phospate (NBT/BCIP). IFUs are then enumerated with the ImmunoSpot system. This method has been used to quantify IFUs from all cell lines traditionally used for chlamydial propagation, including L929, McCoy, HeLa and HaK cells. IFU numbers obtained are comparable to those determined by traditional microscopic counting. In addition, the method can be applied to rapid determination of serum-neutralizing titers for vaccine studies, and we have also applied this approach to quantify Chlamydia recovered from vaginal swabs collected from infected animals. This method provides for rapid enumeration of IFU counts while minimizing investigator bias and has potential applications for both research and diagnostic use.
Insights
A new automated method accurately quantifies Chlamydia trachomatis inclusion-forming units (IFUs) using an ImmunoSpot reader. This technique reduces operator time and bias compared to manual microscopy for Chlamydia research and diagnostics.
Area of Science:
- Microbiology
- Immunology
- Cell Biology
Background:
- Chlamydia trachomatis is an obligate intracellular pathogen infecting epithelial cells.
- Traditional quantification of inclusion-forming units (IFUs) involves manual microscopic counting, which is time-consuming and prone to bias.
- Accurate IFU quantification is crucial for research, diagnostics, and vaccine development.
Purpose of the Study:
- To develop and validate a novel, automated method for quantifying Chlamydia trachomatis IFUs.
- To improve the efficiency and reduce bias in IFU enumeration.
- To explore applications in vaccine studies and clinical diagnostics.
Main Methods:
- Epithelial cells were infected with C. trachomatis in 96-well plates.
- Inclusions were fixed and detected using an anti-C. trachomatis LPS monoclonal antibody, followed by enzymatic visualization.
- Automated enumeration of IFUs was performed using an ImmunoSpot reader.
Main Results:
- The automated ImmunoSpot method accurately quantified IFUs across various cell lines (L929, McCoy, HeLa, HaK).
- IFU counts obtained were comparable to traditional manual microscopic methods.
- The method demonstrated utility in determining serum-neutralizing titers and quantifying Chlamydia from animal vaginal swabs.
Conclusions:
- The automated ImmunoSpot system provides a rapid and unbiased method for enumerating C. trachomatis IFUs.
- This novel approach has significant potential for both research and diagnostic applications in Chlamydia studies.
- The method facilitates efficient assessment of Chlamydia infection and immune responses.

