A heart-brain-spleen axis controls cardiac remodeling to hypertensive stress
Bibliographic record
Abstract
Hypertensive heart disease (HTN-HD) meaningfully contributes to hypertension morbidity and mortality. Initially established as an adaptive response, HTN-HD progresses toward worsening of left ventricule (LV) function and heart failure (HF). Hypertensive stress elevates sympathetic nervous system (SNS) activity, a negative clinical predictor, and expands macrophages. How they interact in the compensatory phase of HTN-HD is unclear. We report that LV pressure overload recruited a brainstem neural circuit to enhance splenic SNS and induce placental growth factor (PlGF) secretion. During hypertensive stress, PlGF drove the proliferation of self-renewing cardiac resident macrophages (RMs) expressing its receptor neuropilin-1 (NRP1). Inhibition of the splenic neuroimmune axis or ablation of NRP1 in RM hindered the adaptive response to hypertensive stress, leading to HF. In humans, circulating PlGF correlated with cardiac hypertrophy, and failing hearts expressed NRP1 in RMs. Here, we discovered a multiorgan response driving a neural reflex to expand cardiac NRP1+ RM and counteract HF.
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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 | 0.001 |
| 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".