[Evaluation of early and rapid etiological diagnosis of measles by detection of measles virus RNA using nested RT-PCR].
Bibliographic record
Abstract
OBJECTIVES: To develop techniques which can be used to detect genetic material of measles virus from clinical samples to make diagnosis and differentiate atypical measles from other exanthematous infections early in clinical course. METHODS: A nested reverse transcriptase-polymerase chain reaction (RT-PCR) was developed to amplify gene fragment with the size of 301 bps from N gene of measles virus in throat swabs and urine samples collected from infants and children who were suspected measles cases. Before the test was used for clinical samples, preliminary tests were performed to determine the sensitivity and specificity of the test. The sensitivity of the test was determined by plaque assay using measles virus strain Edmonton and the specificity of the test was determined by cross-reaction with rubella virus, respiratory syncytial virus, influenza A and B viruses, enterovirus, adenovirus, human cytomegalovirus (hCMV), EB virus, and herpes simplex virus I. Serum specific IgM antibody against measles virus was also tested by ELISA. RESULTS: Measles virus with the titer of 0.53 pfu could be detected by using the nested RT-PCR developed in this study. No amplification was found with the nested RT-PCR when rubella virus, respiratory syncytial virus, influenza A and B virus, enterovirus, adenovirus, hCMV, EB virus, and herpes simplex virus I were used as templates. Out of 116 throat swabs collected from suspected measles cases, 70 (60.3%) were measles RNA positive. For urine samples, 48 out of 74 (64.9%) were positive. Both throat swab and urine samples were collected simultaneously from 73 patients. Among those, 71 (97.3%) showed consistent results. Serum specimens were collected from 110 suspected patients. Among those, 65 (59.1%) and 61 (55.5%) were measles virus specific IgM antibody positive detected with ELISA kits from two different sources, respectively. Out of 110 sera samples, 106 (96.4%) showed consistent results. The consistency of the gene amplification and specific IgM antibody detection was 80.8% as shown by 84 out of 104 patients from whom throat swab and sera were collected at the same time. CONCLUSION: The data indicate that the nested RT-PCR developed in this study is sensitive and specific for detection of gene fragment of measles virus from clinical samples. The test is superior to the commonly used specific IgM antibody detection because of identifying gene material in early clinical stage, and even single clinical sample can be tested.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".