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Record W4414957485 · doi:10.1177/14703203251386305

Dose-dependent effects of the ACE inhibitor, ramipril, on kidney function and structure in the Alport COL4A3 <sup>−/−</sup> mouse

2025· article· en· W4414957485 on OpenAlexafffund
Yanling Zhang, Hai Wang, Linda Nghiem, Richard E. Gilbert

Bibliographic record

VenueJournal of the Renin-Angiotensin-Aldosterone System · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicReceptor Mechanisms and Signaling
Canadian institutionsSt. Michael's Hospital
FundersSt. Michael's Hospital Foundation
KeywordsRamiprilAlport syndromeACE inhibitorGlomerulosclerosisPodocyteRenal functionKidneyKidney disease

Abstract

fetched live from OpenAlex

Introduction ACE inhibitor treatment of Alport syndrome, undertaken when individuals are still presymptomatic/oligosymptomatic delays dialysis but substantial residual risk remains so that additional treatments are desperately needed. In contrast to humans, standard-dose ACE inhibition with ramipril 10 mg/kg/day in Alport mice almost completely prevents GFR loss, precluding the ability to test new add-on therapies. Accordingly, we sought to find a dose that mirrored the ∼50% improvement in GFR seen in humans. Material and methods Escalating doses of ramipril at 0.1, 1, 3 and 10 mg/kg/day, were administered to COL4A3 −/− mice. Results After four weeks, ramipril induced a logarithmic, dose-dependent decline in cystatin C, the primary GFR-based outcome, with efficacy apparent at 0.1 mg/kg/day and a 50% improvement at 1–3 mg/kg/day. Proteinuria, the study's secondary outcome, showed a similar dose-response. In contrast, structural improvements such as podocyte density, glomerulosclerosis and tubulointerstitial fibrosis were not evident below 3 mg/kg/day. Conclusion By exploring the dose-response relationship of RAS blockade in an Alport model, the present study shows that ramipril 1 mg/kg/day may be sufficient for examining additive effects of other agents on kidney function while 3 mg/kg/day is required in order to assess the effects of add-on therapy on kidney structure as well.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.520

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.004
GPT teacher head0.204
Teacher spread0.200 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2025
Admission routes2
Has abstractyes

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