Evidence map›Paper›PMID 36824160›Full record

ReviewBiomaterials and biosystems2022

Advancements in nanomedicines for the detection and treatment of diabetic kidney disease.

Luke Tillman, Tanveer A Tabish, Nazila Kamaly, Primrose Moss, Amal El-Briri, Christoph Thiemermann, Md Zahidul I Pranjol, Muhammad M Yaqoob

Open access · goldAbstract readReview
In one paragraph

Review in Biomaterials and biosystems, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.3field-weighted citation impact, top 12% of its field
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

7 citing papers in PubMed, 16 citations in OpenAlex.

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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

8 authors at 6 institutions in 1 country.

Luke TillmanDepartment of Medical Sciences, University of Oxford, Oxford OX3 7DQ, United Kingdom.
Tanveer A TabishDepartment of Materials and London Centre for Nanotechnology, Imperial College London, London SW7 2AZ, United Kingdom.
Nazila KamalyDepartment of Chemistry, Molecular Sciences Research Hub, Imperial College London, London W12 0BZ, United Kingdom.
Primrose MossDepartment of Veterinary Medicine, University of Cambridge, Cambridge CB3 0ES, United Kingdom.
Amal El-BririThe William Harvey Research Institute, Barts and The London School of Medicine & Dentistry, Queen Mary University of London, London EC1M 6BQ, United Kingdom.
Christoph ThiemermannThe William Harvey Research Institute, Barts and The London School of Medicine & Dentistry, Queen Mary University of London, London EC1M 6BQ, United Kingdom.
Md Zahidul I PranjolSchool of Life Sciences, University of Sussex, Falmer, Brighton BN1 9QG, United Kingdom.
Muhammad M YaqoobThe William Harvey Research Institute, Barts and The London School of Medicine & Dentistry, Queen Mary University of London, London EC1M 6BQ, United Kingdom.
Queen Mary University of London · GBImperial College London · GBLondon Centre for Nanotechnology · GBUniversity of Cambridge · GBUniversity of Oxford · GBUniversity of Sussex · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the diabetic kidneys, morbidities such as accelerated ageing, hypertension and hyperglycaemia create a pro-inflammatory microenvironment characterised by extensive fibrogenesis. Radiological techniques are not yet optimised generating inconsistent and non-reproducible data. The gold standard procedure to assess renal fibrosis is kidney biopsy, followed by histopathological assessment. However, this method is risky, invasive, subjective and examines less than 0.01% of kidney tissue resulting in diagnostic errors. As such, less than 10% of patients undergo kidney biopsy, limiting the accuracy of the current diabetic kidney disease (DKD) staging method. Standard treatments suppress the renin-angiotensin system to control hypertension and use of pharmaceuticals aimed at controlling diabetes have shown promise but can cause hypoglycaemia, diuresis and malnutrition as a result of low caloric intake. New approaches to both diagnosis and treatment are required. Nanoparticles (NPs) are an attractive candidate for managing DKD due to their ability to act as theranostic tools that can carry drugs and enhance image contrast. NP-based point-of-care systems can provide physiological information previously considered unattainable and provide control over the rate and location of drug release. Here we discuss the use of nanotechnology in renal disease, its application to both the treatment and diagnosis of DKD. Finally, we propose a new method of NP-based DKD classification that overcomes the current systems limitations.

Indexed as

Diabetic kidney diseaseDiagnosisNanoparticlesTheranosticsTreatment

Identifiers

PMID36824160
PMCPMC9934479
OpenAlexW4220948979

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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 OpenQuestion graph.