Evidence map›Paper›PMID 41674334›Full record

ReviewNanomedicine (London, England)2026

Applying dendrimer nanoprobes to the diagnosis and evaluation of kidney fibrosis.

Xiaoxu Li, Leyuan Xu

Abstract readReview
In one paragraph

Review in Nanomedicine (London, England), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Xiaoxu LiDepartment of Internal Medicine/Section of Nephrology, Yale University School of Medicine, New Haven, USA.
Leyuan XuDepartment of Internal Medicine/Section of Nephrology, Yale University School of Medicine, New Haven, USA.

Funding

Targeting immune dysfunction during transition from AKI to CKDR01DK135689 · NIDDK · YALE UNIVERSITY · PI Leyuan Xu · 2023 to 2026
$1.5M
Developing imaging nanoprobes to advance prognosis of kidney fibrosisR03DK134791 · NIDDK · YALE UNIVERSITY · PI XU, LEYUAN · 2023 to 2024
$246k
NIDDK NIH HHS R01 DK135689NIDDK NIH HHS R03 DK134791
6 · The paper itself

Abstract

Renal fibrosis is the central pathological process driving the progression of chronic kidney disease (CKD), representing a major global health burden. Current diagnostics, like biopsy, are invasive and lack the sensitivity for early, repeated monitoring. This creates an urgent need for noninvasive, molecularly specific platforms. While conventional nanoparticles have been explored for imaging, they face critical structural and physiological hurdles, particularly navigating the glomerular filtration barrier (GFB), leading to unpredictable clearance and off-target accumulation. This review highlights the advantageous potential of dendrimers to address these limitations. Their hyperbranched, monodispersed architecture allows for precise size control, enabling predictable renal clearance. The functional multivalent surface of the dendrimer facilitates enhanced targeting avidity toward key myofibroblast markers. We discuss the rational design of dendrimer-based probes for MRI, PET, and near-infrared imaging, synthesizing preclinical evidence of their efficacy. Dendrimer nanotechnology offers a promising path to transform CKD management through early diagnosis and personalized theranostic guidance. [Databases searched: PubMed and Web of Science from 1994 to 2025.].

Indexed as

DendrimersFibrosisKidneyKidney DiseasesNanoparticlesRenal Insufficiency, ChronicAnimalsHumansMagnetic Resonance ImagingDendrimersdendrimerdiagnosisfibrosisKidneynanoparticle

Identifiers

PMID41674334
PMCPMC13060051

What Socratic holds

Textmetadata
Read underepoch 390

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 Socratic graph.