Evidence map›Paper›PMID 38254669›Full record

ReviewBiomolecules2024

Leveraging Biomaterial Platforms to Study Aging-Related Neural and Muscular Degeneration.

Veronica Hidalgo-Alvarez, Christopher M Madl

Abstract readReview
In one paragraph

Review in Biomolecules, 2024. 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

2 authors.

Veronica Hidalgo-AlvarezDepartment of Materials Science and Engineering, University of Pennsylvania, Philadelphia, PA 19104, USA.
Christopher M MadlDepartment of Materials Science and Engineering, University of Pennsylvania, Philadelphia, PA 19104, USA.ORCID 0000-0003-3221-5041

Funding

Elucidating Effects of Fibrosis on Aged Stem Cells with Dynamic BiomaterialsR00AG071738 · NIA · UNIVERSITY OF PENNSYLVANIA · PI MADL, CHRISTOPHER MATTHEW · 2023 to 2025
$742k
NIA NIH HHS R00 AG071738NIH HHS R00 AG071738
6 · The paper itself

Abstract

Aging is a complex multifactorial process that results in tissue function impairment across the whole organism. One of the common consequences of this process is the loss of muscle mass and the associated decline in muscle function, known as sarcopenia. Aging also presents with an increased risk of developing other pathological conditions such as neurodegeneration. Muscular and neuronal degeneration cause mobility issues and cognitive impairment, hence having a major impact on the quality of life of the older population. The development of novel therapies that can ameliorate the effects of aging is currently hindered by our limited knowledge of the underlying mechanisms and the use of models that fail to recapitulate the structure and composition of the cell microenvironment. The emergence of bioengineering techniques based on the use of biomimetic materials and biofabrication methods has opened the possibility of generating 3D models of muscular and nervous tissues that better mimic the native extracellular matrix. These platforms are particularly advantageous for drug testing and mechanistic studies. In this review, we discuss the developments made in the creation of 3D models of aging-related neuronal and muscular degeneration and we provide a perspective on the future directions for the field.

Indexed as

Nerve TissueSarcopeniaBiocompatible MaterialsHumansQuality of LifeBiocompatible Materials3D muscular models3D neural modelsagingbiomaterials

Identifiers

PMID38254669
PMCPMC10813704

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.