P2Y2 receptor polymorphisms and haplotypes in cystic fibrosis and their impact on Ca2+ influx
Bibliographic record
Abstract
OBJECTIVE: Activation of P2Y2 receptors in airway epithelia by ATP and UTP stimulates a Ca2+-regulated Cl- channel, which regulates Cl- secretion in cystic fibrosis (CF). We hypothesized that genetic alterations in the P2Y2 receptor may act as disease modifiers in CF and thus analyzed the coding region of this gene for polymorphisms in 146 CF patients and 64 healthy controls. We also assessed the impact of the genetic variants on Ca2+-influx of P2Y2-null cells transfected with several P2Y2 receptor haplotypes. RESULTS: We identified three frequent nonsynonymous P2Y2 receptor polymorphisms: Leu46Pro; Arg312Ser and Arg334Cys, of which only Arg312Ser was significantly more common in CF: Arg = 0.80, Ser = 0.20 (CF) vs. Arg = 0.72, Ser = 0.28 (controls), P < 0.05; for Leu46Pro, Leu = 0.92, Pro = 0.08 (CF) vs. Leu = 0.96, Pro = 0.04 (controls), P = 0.65 and for Arg334Cys, Arg = 0.79, Cys = 0.21 (CF) vs. Arg = 0.84, Cys = 0.16 (controls), P = 0.79. The most frequent haplotype was Leu46Leu/Arg312Arg/Arg334Arg (28% in CF, 31% in controls) but 6% of CF patients and none of the controls had Leu46Leu/Ser312Ser/Arg334Cys or Leu46Leu/Arg312Arg/Cys334Cys. To assess function of the receptor haplotypes, we stably transfected 1321N1 (P2Y-null) cells to similar levels of mRNA expression with Leu46Leu/Arg312Arg/Arg334Arg (wild-type), Leu46Leu/Ser312Ser/Arg334Arg and Leu46Leu/Arg312Arg/Cys334Cys and measured ATP-stimulated transient Ca2+-influx. Cells expressing the homozygous Cys334 variant had significantly increased Ca2+-influx compared to wild-type (P<0.01). The increase in Ca2+-influx was more pronounced in cells carrying the homozygous Ser312 variant than in cells with the other two genotypes (P<0.01). CONCLUSIONS: These data indicate that P2Y2 receptor gene haplotypes influence intracellular Ca2+-release. Such genetic variants might therefore represent modifiers of Cl- secretion or of response to P2Y2 agonist therapy in CF.
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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 | 0.000 | 0.001 |
| 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) | 0.002 | 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".