Coagulation Factor XIIa-kinin-mediated contribution to hypertension of chronic kidney disease
Bibliographic record
Abstract
BACKGROUND: Activated coagulation Factor XII (FXIIa) infusion increases peripheral resistance (TPR) and mean arterial pressure (MAP) of Brown Norway but not plasma kininogen deficient Brown Norway Katholiek (BNK) rats. FXIIa concentrations are elevated in hypertensive end-stage renal disease patients receiving conventional haemodialysis (CHD). Conversion to nocturnal haemodialysis (NHD) lowers peripheral resistance and MAP. OBJECTIVE: To determine whether the plasma coagulation FXIIa-kallikrein-kinin axis contributes to the hypertension of chronic kidney disease (CKD). METHODS: Plasma FXIIa and haemodynamic data were acquired in 11 CHD patients before and after 2 months of NHD. Cardiac and systemic haemodynamics of Brown Norway and BNK rats rendered hypertensive and uremic by 5/6 nephrectomy (NX) were determined before and after acute FXIIa inhibition. RESULTS: FXIIa was increased three-fold in CHD patients relative to control plasma (P < 0.05). After conversion to NHD, both ΔMAP and ΔTPR correlated with ΔFXIIa. In rats, plasma FXIIa was three-fold higher in both NX groups than respective SHAM controls (all P < 0.05), but MAP (147 ± 4 vs. 133 ± 2 mmHg; P < 0.05) and TPR (2.8 ± 0.2 vs. 2.3 ± 0.2 units; P < 0.05) were greater in Brown Norway NX (n = 16) than in BNK (n = 15) NX rats. FXIIa correlated with MAP only in Brown Norway NX, and plasma catecholamines were increased relative to SHAM only in Brown Norway NX (P < 0.05). In Brown Norway NX rats, FXIIa inhibitor infusion decreased MAP (-12 mmHg) and TPR (-0.5 Units) (both P < 0.05), and halved catecholamines (P < 0.05). No such changes occurred in BNK NX rats. CONCLUSION: FXIIa-kininogen mediated vasoconstriction contributes significantly to CKD hypertension in Brown Norway rats; this novel mechanism may be active in humans with CKD.
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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 | 0.000 |
| 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) | 0.001 | 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".