Evidence map›Paper›PMID 37675638›Full record

ReviewBritish journal of clinical pharmacology2025

Optimizing preclinical models of ageing for translation to clinical trials.

Sarah J Mitchell, Michael R MacArthur, Alice E Kane

Open access · bronzeAbstract readReview
In one paragraph

Review in British journal of clinical pharmacology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.7field-weighted citation impact, top 27% 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

6 citing papers in PubMed, 8 citations in OpenAlex.

  1. Review
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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

3 authors at 2 institutions in 1 country.

Sarah J MitchellLudwig Princeton Branch, Princeton University, Princeton, New Jersey, USA.ORCID https://orcid.org/0000-0002-4027-3754
Michael R MacArthurLewis-Sigler Institute, Princeton University, Princeton, New Jersey, USA.ORCID https://orcid.org/0000-0003-3593-6995
Alice E KaneInstitute for Systems Biology, Seattle, Washington, USA.ORCID https://orcid.org/0000-0002-4303-0491
Princeton University · USUniversity of Washington · US

Funding

Development of a Predictive Frailty Clock & Longitudinal Investigation of its Epigenetic DeterminantsR00AG070102 · NIA · INSTITUTE FOR SYSTEMS BIOLOGY · PI KANE, ALICE E · 2023 to 2025
$1.0M
Lewi-Sigler Scholars Program, Princeton UniversityLudwig Princeton Branch Princeton University and Foundation for Prader Willi ResearchNational Institute of Aging R00AG070102NIA NIH HHS R00 AG070102
6 · The paper itself

Abstract

Preclinical models have been the backbone of translational research for more than a century. Rats and mice are critical models in the preliminary stages of drug testing, both for determining efficacy and ruling out potential human-relevant toxicities. Historically, most preclinical pharmacological studies have used young, relatively healthy, inbred male models in highly controlled environments. In the field of geriatric pharmacology, there is a growing focus on the importance of using more appropriate preclinical models both in the testing of therapeutics commonly used in older populations, and in the evaluation of potential geroprotective drug candidates. Here we provide a commentary on optimizing preclinical models of ageing for translation to clinical trials. We will discuss approaches to modelling clinically relevant contexts such as age, sex, genetic diversity, exposures and environment, as well as measures of clinically relevant outcomes such as frailty and healthspan. We will identify the strengths and limitations of these approaches and areas for improvement. We will also briefly cover new preclinical models that move beyond rodents. We hope this commentary will be a springboard for larger discussions on optimizing preclinical ageing models for testing therapeutics.

Indexed as

AgingDrug Evaluation, PreclinicalTranslational Research, BiomedicalAnimalsClinical Trials as TopicFemaleHumansMaleMiceModels, AnimalRatsCaenorhabditis elegansfrailtygerosciencehealthspankillifishmouse modelspolypharmacy

Identifiers

PMID37675638
PMCPMC11671336
OpenAlexW4386505463

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.