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Record W4415742625 · doi:10.1053/j.ajkd.2025.10.004

Effects of Empagliflozin on Urine Biomarkers in EMPA-KIDNEY

2025· article· en· W4415742625 on OpenAlexafffund
Greco Mark Malijan, Rebecca J. Sardell, Natalie Staplin, Olivier Devuyst, Daniel S. Chapman, Michael Hill, Nadine Nägele, Stewart Moffat, Dilushi Wijayaratne, Killian Donovan, Doreen Zhu, Dominik Steubl, Sibylle J. Hauske, Michaela Petrini, Sarah Y A Ng, Roberto Pontremoli, David Z.I. Cherney, Katherine R. Tuttle, Martin Landray, Christoph Wanner, Colin Baigent, Michael G. Shlipak, Richard Haynes, Parminder K. Judge, Joachim H Ix, William G. Herrington

Bibliographic record

VenueAmerican Journal of Kidney Diseases · 2025
Typearticle
Languageen
FieldMedicine
TopicDiabetes Treatment and Management
Canadian institutionsUniversity of TorontoUniversity Health Network
FundersMedical Research CouncilCenters for Disease Control and PreventionUniversität ZürichOxford University Hospitals NHS Foundation TrustTechnische Universität MünchenUniversität HeidelbergBoehringer IngelheimEuropean Society of CardiologyUniversity of OxfordRegeneron PharmaceuticalsNational Institutes of HealthU.S. Department of Veterans AffairsUniversity of TorontoSchweizerischer Nationalfonds zur Förderung der Wissenschaftlichen ForschungProvidence Health CareKidney Research UKBritish Heart FoundationEli Lilly and CompanyAstraZenecaNational Science FoundationUniversity of WashingtonNovo NordiskNational Institute for Health and Care ResearchPfizer
KeywordsEmpagliflozinTamm–Horsfall proteinKidneyAcute kidney injuryAlbuminuriaKidney diseaseUrine

Abstract

fetched live from OpenAlex

RATIONALE & OBJECTIVE: Sodium/glucose cotransporter 2 (SGLT2) inhibitors substantially slow progression of chronic kidney disease and reduce the risk of acute kidney injury, but their effects on kidney physiology are incompletely understood. This study assessed the effects of empagliflozin on a comprehensive set of urinary tubular and glomerular biomarkers. STUDY DESIGN: Randomized controlled trial. SETTING & PARTICIPANTS: 2,752 participants from EMPA-KIDNEY. EXPOSURE: Empagliflozin, 10 mg daily, versus placebo. OUTCOME: -microglobulin [A1M]); functional tubular reserve (epidermal growth factor [EGF], uromodulin [UMOD]); tubular injury/inflammation (kidney injury molecule-1 [KIM-1], neutrophil gelatinase-associated lipocalin [NGAL]); and tubular ischemia/stress (dickkopf-3 [DKK-3], monocyte chemoattractant protein-1 [MCP-1]). ANALYTICAL APPROACH: Mixed model repeated measures. RESULTS: Allocation to empagliflozin reduced urinary albumin by 19% (95% CI, -24% to -14%), total protein by 7% (-11% to -2%), and UMOD by 63% (-65% to -61%). It increased A1M by 29% (25%-34%), DKK-3 by 22% (16%-29%), and NGAL by 7% (0-13%). Overall, there were no significant effects on EGF (1% [-1% to 4%]), KIM-1 (2% [-1% to 6%]), and MCP-1 (0 [-4% to 3%]). The magnitude of effects on biomarker levels was generally similar at 2 and 18 months of follow-up. The large reductions in UMOD were evident regardless of baseline diabetes status, primary cause of kidney disease, and level of estimated glomerular filtration rate (eGFR) and/or albuminuria. Exploratory mediation analyses suggest that reductions in albuminuria and UMOD accounted for 32% (15% to 52%) of the beneficial effect of empagliflozin on chronic eGFR slope. LIMITATIONS: The mediation analyses cannot be used to formally confirm that UMOD reduction is a causal mediator for the kidney benefits of SGLT2 inhibitors. CONCLUSIONS: SGLT2 inhibition imparts a large and sustained reduction in urinary UMOD and also increases some biomarkers partially reabsorbed by proximal tubules without consistently affecting markers of tubular injury. These effects deserve further detailed experimental exploration, particularly the effect on thick ascending limb-derived UMOD, which could represent a novel mechanism of kidney protection. PLAIN-LANGUAGE SUMMARY: Sodium/glucose cotransporter 2 inhibitors or "flozins" are medications that prevent kidney failure and acute kidney injury in a broad range of patients with kidney disease. However, exactly how these drugs exert their kidney protective effects is incompletely understood. In a large clinical trial involving patients with varying causes of kidney disease, empagliflozin reduced excretion of 2 common proteins in the urine (albumin and uromodulin). The substantial reduction in uromodulin was unexpected and is of particular interest because uromodulin is manufactured in a later part of the kidney beyond the site of action of empagliflozin. New experiments are needed to understand these results and assess whether the effect on uromodulin can explain the benefits of flozins for the kidney.

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 imitation

Not 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.

metaresearch head score (Codex)0.006
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.031

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.003
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.003
GPT teacher head0.255
Teacher spread0.252 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations6
Published2025
Admission routes2
Has abstractyes

Explore more

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