Evidence map›Paper›PMID 40923206›Full record

ReviewAdvanced materials (Deerfield Beach, Fla.)2026

Engineering Aging: Approaches to Model and Deconstruct Biological Complexity.

Habib Joukhdar, Sunny Shinchen Lee, Thomas R Cox, Yu Suk Choi, Steven G Wise, Jennifer L Young, Giselle C Yeo, Khoon S Lim

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Advanced materials (Deerfield Beach, Fla.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Review
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.

Habib JoukhdarSchool of Medical Sciences, University of Sydney, Sydney, NSW, 2006, Australia.
Sunny Shinchen LeeSchool of Life Sciences, University of Sydney, Sydney, NSW, 2006, Australia.
Thomas R CoxGarvan Institute of Medical Research, Sydney, NSW, 2010, Australia.
Yu Suk ChoiSchool of Human Sciences, University of Western Australia, Perth, WA, 6009, Australia.
Steven G WiseSchool of Medical Sciences, University of Sydney, Sydney, NSW, 2006, Australia.
Jennifer L YoungMechanobiology Institute, National University of Singapore, Singapore, 117411, Singapore.
Giselle C YeoSchool of Life Sciences, University of Sydney, Sydney, NSW, 2006, Australia.
Khoon S LimSchool of Medical Sciences, University of Sydney, Sydney, NSW, 2006, Australia.ORCID https://orcid.org/0000-0002-2486-196X

Funding

Australian Research Council DP250103558Australian Research Council FT230100249NSW Ministry of Health H22/98586
6 · The paper itself

Abstract

The disparity between the global increase in life expectancy and the steady decline in health outcomes with age has been a major driver for developing new ways to research aging. Although this current tools for studying aging outside of the human body-such as animal models and cells in a dish-have improved this fundamental understanding of the markers and key mechanisms underlying this process, several limitations remain. Animal models are poor biological representations of humans and have a weak track record of translating pre-clinical results into successful clinical applications. Similarly, current 2D cellular models do not recapitulate the dynamic 3D environment of human tissue. This gap between the need for accurate biological mimicry and the limitations of current aging models presents an exciting opportunity for the field of biofabrication. Over the past decade, the combination of biofabrication and advanced biomaterials has shown potential to engineer high-resolution features that change over time or respond to specific stimuli. In this perspective, the current state of in vitro aging models is reflected, identify the key features that new models must emulate, discuss the technologies available to meet these complex specifications, and consider some of the potential challenges facing the field.

Indexed as

AgingModels, BiologicalTissue EngineeringAnimalsBiocompatible MaterialsHumansBiocompatible Materialsagingbiofabricationbiomaterialstissue models

Identifiers

PMID40923206
PMCPMC12759218

What Socratic holds

Textmetadata
LicenceCC BY
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.