RETRACTED ARTICLE: Clinical and immuno-proteomic approach on Lantana camara pollen allergy—a major health hazard
Post-publication record
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Bibliographic record
Abstract
BACKGROUND: The incidence of allergic diseases is increasing gradually and is a global burden affecting the socio-economic quality of life. Identification of allergens is the first step towards paving the way for therapeutic interventions against atopic diseases. Our previous investigation figured out that total pollen load correlated significantly with the rise of respiratory allergy in a subtropical city in India. The most dominant pollen responsible for IgE sensitivity in most patients emerged to be from Lantana camara (LC) an obnoxious weed growing in and around suburban areas of West Bengal. In this study, we identified allergenic components from this shrub using an immunoproteomic approach. METHODS: Determination of dominant pollen species was done using aerobiological sampling during two consecutive years and correlated with hospitalization and skin prick test. Serum was collected from LC positive patients and checked for in vitro allergenicity using ELISA and Histamine assay. Total proteome was profiled in SDS-PAGE, 2D PAGE and immunoblotted to detect IgE binding proteins which were further identified using mass spectrometry. RESULTS: Lantana camara pollen emerged as a significant contributor from the correlation study with hospital admission of the respiratory allergy sufferers and its extract demonstrated an elevated IgE response in ELISA and histamine release assay tests. Five IgE reactive bands/zones were observed in 1D blot which resolved to 12 allergo-reactive spots in the 2D blot. Mass spectrometric analysis identified nine spots that grouped into four diverse proteins. Pathogenesis-related Thaumatin-like protein was found to be one of the major allergens in Lantana camara. CONCLUSIONS: This is to our knowledge the first attempt to identify allergens from Lantana camara using a proteomic approach. The allergens identified thereof can be used to prepare hypoallergenic vaccine candidates and design immunotherapy trials against LC pollen and other aeroallergen carriers which are cross-reactive and harbor similar proteins.
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.006 | 0.004 |
| Insufficient payload (model declined to judge) | 0.020 | 0.009 |
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".