Evidence map›Paper›PMID 38416386›Full record

ReviewDrug delivery and translational research2024

Chrono-tailored drug delivery systems: recent advances and future directions.

Christine T Butler, Aoife M Rodgers, Annie M Curtis, Ryan F Donnelly

Abstract readReview
In one paragraph

Review in Drug delivery and translational research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

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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

4 authors.

Christine T ButlerCurtis Clock Laboratory, School of Pharmacy and Biomolecular Sciences and Tissue Engineering Research Group (TERG), Royal College of Surgeons in Ireland RCSI, Dublin, Ireland.
Aoife M RodgersThe Wellcome Wolfson Institute for Experimental Medicine, Queen's University Belfast, 97 Lisburn Road, Belfast, BT9 7B, UK.
Annie M Curtis *Curtis Clock Laboratory, School of Pharmacy and Biomolecular Sciences and Tissue Engineering Research Group (TERG), Royal College of Surgeons in Ireland RCSI, Dublin, Ireland. anniecurtis@rcsi.ie.
Ryan F Donnelly *School of Pharmacy, Queen's University Belfast, Belfast, BT9 7BL, UK. r.donnelly@qub.ac.uk.ORCID 0000-0002-0766-4147

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Circadian rhythms influence a range of biological processes within the body, with the central clock or suprachiasmatic nucleus (SCN) in the brain synchronising peripheral clocks around the body. These clocks are regulated by external cues, the most influential being the light/dark cycle, in order to synchronise with the external day. Chrono-tailored or circadian drug delivery systems (DDS) aim to optimise drug delivery by releasing drugs at specific times of day to align with circadian rhythms within the body. Although this approach is still relatively new, it has the potential to enhance drug efficacy, minimise side effects, and improve patient compliance. Chrono-tailored DDS have been explored and implemented in various conditions, including asthma, hypertension, and cancer. This review aims to introduce the biology of circadian rhythms and provide an overview of the current research on chrono-tailored DDS, with a particular focus on immunological applications and vaccination. Finally, we draw on some of the key challenges which need to be overcome for chrono-tailored DDS before they can be translated to more widespread use in clinical practice.

Indexed as

Circadian RhythmDrug Delivery SystemsAnimalsDrug ChronotherapyHumansChrono-tailored drug delivery systemsCircadian rhythmDrug delivery

Identifiers

PMID38416386
PMCPMC11153310

What OpenQuestion holds

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Registered trials

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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.