Evidence map›Paper›PMID 41480757›Full record

ReviewThe Journal of clinical investigation2026

The role of suPAR and related proteins in kidney, heart diseases, and diabetes.

Jochen Reiser, Salim S Hayek, Sanja Sever

Abstract readReview
In one paragraph

Review in The Journal of clinical investigation, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Trial
  2. Review
  3. Review
  4. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Jochen ReiserDepartment of Internal Medicine and.
Salim S HayekDepartment of Internal Medicine and.
Sanja SeverDepartment of Internal Medicine and.

Funding

Role of proteolytic suPAR fragment in insulin dependent diabetes and kidney diseaseR01DK133364 · NIDDK · UNIVERSITY OF TEXAS MED BR GALVESTON · PI Mehmet M Altintas, Sanja Sever · 2023 to 2026
$2.7M
suPAR and renal fibrosisR01DK125858 · NIDDK · UNIVERSITY OF TEXAS MED BR GALVESTON · PI WEI, DAVID CHANGLI · 2020 to 2024
$2.2M
NIDDK NIH HHS R01 DK125858NIDDK NIH HHS R01 DK133364
6 · The paper itself

Abstract

The urokinase plasminogen activator receptor (uPAR) is a membrane-bound protein found on the surface of immune cells. Through the action of proteases, uPAR is cleaved to produce several circulating proteins in the bloodstream, including the soluble form suPAR and the fragments D1 and D2D3. Initially studied in the context of infectious diseases and cancer, recent research has revealed roles for suPAR and its related proteins as mediators linking innate immunity to the pathogenesis of kidney and cardiovascular diseases, as well as insulin-dependent diabetes. While these proteins have long been recognized as prognostic biomarkers, growing clinical, experimental, and genetic evidence highlights their active involvement in the onset and progression of these diverse conditions. This Review examines suPAR's evolution from its discovery as a modulator of innate immunity to its current status as a key driver in chronic kidney and cardiovascular diseases. Furthermore, we explore the molecular mechanisms through which suPAR and D2D3 contribute to multiorgan damage, emphasizing emerging opportunities for therapeutic interventions across interconnected organ systems.

Indexed as

Diabetes Mellitus, Type 1Heart DiseasesImmunity, InnateKidney DiseasesReceptors, Urokinase Plasminogen ActivatorAnimalsBiomarkersCardiovascular DiseasesHumansBiomarkersPLAUR protein, humanReceptors, Urokinase Plasminogen ActivatorCardiologyChronic kidney diseaseImmunologyInnate immunityNephrology

Identifiers

PMID41480757
PMCPMC12721894

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.