ReviewChemistryOpen2017
Light-Emitting Agents for Noninvasive Assessment of Kidney Function.
Review in ChemistryOpen, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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.
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.
Who cites it
12 citing papers in PubMed.
- Two Sides of the Same Coin-Mechanistic Insight, Diagnostic Application and Therapeutic Translation of Bacterial and Host-Derived Extracellular Vesicles.Journal of extracellular biology · 2025Review
- Multimeric Conjugates Using Engineered Peptide Scaffolds for Efficient siRNA Delivery.Bioconjugate chemistry · 2025Article
- Fluorescent Water-Soluble Polycationic Chitosan Polymers as Markers for Biological 3D Imaging.Chemical & biomedical imaging · 2024Article
- Where should siRNAs go: applicable organs for siRNA drugs.Experimental & molecular medicine · 2023Review
- A Novel Non-invasive Qualitative Assay Using Urinary Fluorescence Imaging to Assess Kidney Disease.Bio-protocol · 2023Article
- Clinical-grade human skin-derived ABCB5+ mesenchymal stromal cells exert anti-apoptotic and anti-inflammatory effectsFrontiers in immunology · 2023Article
- Murine models of renal ischemia reperfusion injury: An opportunity for refinement using noninvasive monitoring methods.Physiological reports · 2022Article
- Improving kidney targeting: The influence of nanoparticle physicochemical properties on kidney interactions.Journal of controlled release : official journal of the Controlled Release Society · 2021Review
- Role of Nanotechnology and Their Perspectives in the Treatment of Kidney Diseases.Frontiers in genetics · 2021Review
- A review of the application of nanoparticles in the diagnosis and treatment of chronic kidney disease.Bioactive materials · 2020Review
- Near-infrared fluorescent molecular probes for imaging and diagnosis of nephro-urological diseases.Chemical science · 2020Review
- Light-Emitting Agents for Noninvasive Assessment of Kidney Function.ChemistryOpen · 2017Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The noninvasive assessment of kidney function and diagnosis of kidney disease have long been challenges. Traditional methods are not routinely available, because the existing protocols are cumbersome, time consuming, and invasive. In the past few years, significant progress in the area of diagnosing kidney function and disease on the basis of light-emitting agents has been made. Herein, we briefly review light-emitting agents, including organic fluorescent agents and inorganic renal clearable luminescent nanoparticles for the noninvasive and real-time monitoring of kidney function and disease. Moreover, some significant requirements and strategies regarding the design of ideal glomerular filtration rate agents and renal clearable nanoparticles are discussed. Finally, we discuss future challenges in expediting clinical translation of these developed light-emitting agents, along with considerations of the efforts that need to be made to develop new agents and diagnosing kidney disease.
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Registered trials
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.