Polyunsaturated fatty acids regulate protein kinase C zeta levels in immature (cord blood) T cells, their maturation towards a Th1 cytokine bias and its significance in reducing allergy risk 3443
Bibliographic record
Abstract
Abstract Description A significant number of babies born to women with a family history of allergy have transiently low levels of cord blood T cell protein kinase C (PKC)ζ, and increased incidence of allergic sensitisation by 2.5 y of age. We have provided compelling evidence for the role of PKCζ in regulating neonatal T cell development toward a Th1 cytokine propensity. We have now defined the transient deficient period after birth and show that interaction with nutrients during this period can increase and ‘normalise’ the PKCζ levels in immature T cells. In particular, we have demonstrated that polyunsaturated fatty acids are effective modulators of PKCζ levels. The results also identify which fatty acid structures are critical for achieving these changes and the fatty acid metabolic products responsible for their effects. These polyunsaturated fatty acids effects were reflected in the development of neonatal T cells from an immature allergy Th2 cytokine profile to a mature Th1 cytokine bias. The data identify a protein amenable to modulation by nutrients early after birth, representing a modification of the ‘hygiene hypothesis’ for preventing allergic sensitisation. Funding Sources Women’s and Children’s Research Foundation: Perveen_2025 Topic Categories Immune Response Regulation: Molecular Mechanisms (IRM)
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".