Nucleic Acid Sequence Based Amplification (NASBA) of Chlamydia pneumoniae Major Outer Membrane Protein (ompA) mRNA with Bioluminescent Detection
Bibliographic record
Abstract
Chlamydia pneumoniae has been associated with chronic conditions such as atherosclerosis and coronary heart disease but the precise role of this intracellular bacteria in the pathogenesis of these diseases is not well defined. Several techniques have been developed for detection of C. pneumoniae in atheromatous lesions, however it remains unclear whether persistent forms of the organism and/or actively replicating bacteria contribute to associated pathology. The aim of this study was to utilize nucleic acid sequence based amplification (NASBA) technology together with a highly sensitive aequorin bioluminescent hybridization assay for the detection of C. pneumoniae ompA mRNA transcripts. A NASBA targeting the ompA gene of C. pneumoniae was developed, and the sensitivity was evaluated using both C. pneumoniae ompA RNA generated in vitro, and purified C. pneumoniae inclusion forming units (IFU). C. pneumoniae NASBA was capable of detecting between 100 and 1000 ompA RNA molecules and could detect 0.2 IFU of C. pneumoniae using the aequorin bioluminescent assay. The sensitivity of the bioluminescent assay was at least 10-fold higher than Northern blot detection. The linearity of NASBA amplification was assessed in time-course amplification experiments with different input numbers of RNA molecules. When NASBA products were analyzed during the linear phase of amplification, the dynamic range of bioluminescent detection extended over 8-log units of input RNA copy number. NASBA amplification coupled with bioluminescent detection may prove to be a useful molecular tool for the detection, quantitation and analysis of differentially expressed chlamydial genes during various stages of infection and disease pathology or for other mRNAs of interest in different disease processes.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".