T Cell Responses Are Better Correlates of Vaccine Protection in the Elderly
Why this work is in the frame
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Bibliographic record
Abstract
It is commonly held that increased risk of influenza in the elderly is due to a decline in the Ab response to influenza vaccination. This study prospectively evaluated the relationship between the development of influenza illness, and serum Ab titers and ex vivo cellular immune responses to influenza vaccination in community dwelling older adults including those with congestive heart failure (CHF). Adults age 60 years and older (90 subjects), and 10 healthy young adult controls received the 2003-04 trivalent inactivated influenza vaccine. Laboratory diagnosed influenza (LDI) was documented in 9 of 90 older adults. Pre- and postvaccination Ab titers did not distinguish between subjects who would subsequently develop influenza illness (LDI subjects) and those who would not (non-LDI subjects). In contrast, PBMC restimulated ex vivo with live influenza virus preparations showed statistically significant differences between LDI and non-LDI subjects. The mean IFN-gamma:IL-10 ratio in influenza A/H3N2-stimulated PBMC was 10-fold lower in LDI vs non-LDI subjects. Pre-and postvaccination granzyme B levels were significantly lower in CHF subjects with LDI compared with subjects without LDI. In non-CHF subjects with LDI, granzyme B levels increased to high levels at the time of influenza infection. In conclusion, measures of the ex vivo cellular immune response to influenza are correlated with protection against influenza while serum Ab responses may be limited as a sole measure of vaccine efficacy in older people. Ex vivo measures of the cell-mediated immune response should be incorporated into evaluation of new vaccines for older adults.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 it