Development of Conventional and Real-Time PCR Assays for the Rapid Detection of Group B Streptococci
Bibliographic record
Abstract
BACKGROUND: Group B streptococci (GBS), or Streptococcus agalactiae, are the leading bacterial cause of meningitis and bacterial sepsis in newborns. Currently available rapid methods to detect GBS from clinical specimens are unsuitable for replacement of culture methods, mainly because of their lack of sensitivity. METHODS: We have developed a PCR-based assay for the rapid detection of GBS. The cfb gene encoding the Christie-Atkins-Munch-Petersen (CAMP) factor was selected as the genetic target for the assay. The PCR primers were initially tested by a conventional PCR method followed by gel electrophoresis. The assay was then adapted for use with the LightCycler(TM). For this purpose, two fluorogenic adjacent hybridization probes complementary to the GBS-specific amplicon were designed and tested. In addition, a rapid sample-processing protocol was evaluated by colony-forming unit counting and PCR. A total of 15 vaginal samples were tested by both standard culture method and the two PCR assays. RESULTS: The conventional PCR assay was specific because it amplified only GBS DNA among 125 bacterial and fungal species tested, and was able to detect all 162 GBS isolates from various geographical areas. This PCR assay allowed detection of as few as one genome copy of GBS. The real-time PCR assay was comparable to conventional PCR assay in terms of sensitivity and specificity, but it was more rapid, requiring only approximately 30 min for amplification and computer-based data analysis. The presence of vaginal specimens had no detrimental effect on the sensitivity of the PCR with the sample preparation protocol used. All four GBS-positive samples identified by the standard culture method were detected by the two PCR assays. CONCLUSION: These assays provide promising tools for the rapid detection and identification of GBS.
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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 | 0.006 | 0.006 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| 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".