The effect of ageing on skeletal muscle as assessed by quantitative MR imaging: an association with frailty and muscle strength.


Journal

Aging clinical and experimental research
ISSN: 1720-8319
Titre abrégé: Aging Clin Exp Res
Pays: Germany
ID NLM: 101132995

Informations de publication

Date de publication:
Feb 2021
Historique:
received: 27 01 2020
accepted: 04 03 2020
pubmed: 22 3 2020
medline: 3 3 2021
entrez: 22 3 2020
Statut: ppublish

Résumé

Skeletal muscles undergo changes with ageing which can cause sarcopenia that can result in frailty. Quantitative MRI may detect the muscle-deficit component of frailty which could help improve the understanding of ageing muscles. To investigate whether quantitative MRI measures of T2, fat fraction (FF), diffusion tensor imaging and muscle volume can detect differences within the muscles between three age groups, and to assess how these measures compare with frailty index, gait speed and muscle power. 18 'young' (18-30 years), 18 'middle-aged' (31-68 years) and 18 'older' (> 69 years) healthy participants were recruited. Participants had an MRI of their dominant thigh. Knee extension and flexion power and handgrip strength were measured. Frailty (English Longitudinal Study of Ageing frailty index) and gait speed were measured in the older participants. Young participants had a lower muscle MRI T2, FF and mean diffusivity than middle-aged and older participants; middle-aged participants had lower values than older participants. Young participants had greater muscle flexion and extension power, muscle volume and stronger hand grip than middle-aged and older participants; middle-aged participants had greater values than the older participants. Quantitative MRI measurements correlated with frailty index, gait speed, grip strength and muscle power. Quantitative MRI and strength measurements can detect muscle differences due to ageing. Older participants had raised T2, FF and mean diffusivity and lower muscle volume, grip strength and muscle power. Quantitative MRI measurements correlate with frailty and muscle function and could be used for identifying differences across age groups within muscle.

Sections du résumé

BACKGROUND BACKGROUND
Skeletal muscles undergo changes with ageing which can cause sarcopenia that can result in frailty. Quantitative MRI may detect the muscle-deficit component of frailty which could help improve the understanding of ageing muscles.
AIMS OBJECTIVE
To investigate whether quantitative MRI measures of T2, fat fraction (FF), diffusion tensor imaging and muscle volume can detect differences within the muscles between three age groups, and to assess how these measures compare with frailty index, gait speed and muscle power.
METHODS METHODS
18 'young' (18-30 years), 18 'middle-aged' (31-68 years) and 18 'older' (> 69 years) healthy participants were recruited. Participants had an MRI of their dominant thigh. Knee extension and flexion power and handgrip strength were measured. Frailty (English Longitudinal Study of Ageing frailty index) and gait speed were measured in the older participants.
RESULTS RESULTS
Young participants had a lower muscle MRI T2, FF and mean diffusivity than middle-aged and older participants; middle-aged participants had lower values than older participants. Young participants had greater muscle flexion and extension power, muscle volume and stronger hand grip than middle-aged and older participants; middle-aged participants had greater values than the older participants. Quantitative MRI measurements correlated with frailty index, gait speed, grip strength and muscle power.
DISCUSSION CONCLUSIONS
Quantitative MRI and strength measurements can detect muscle differences due to ageing. Older participants had raised T2, FF and mean diffusivity and lower muscle volume, grip strength and muscle power.
CONCLUSIONS CONCLUSIONS
Quantitative MRI measurements correlate with frailty and muscle function and could be used for identifying differences across age groups within muscle.

Identifiants

pubmed: 32198628
doi: 10.1007/s40520-020-01530-2
pii: 10.1007/s40520-020-01530-2
pmc: PMC7914187
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

291-301

Subventions

Organisme : Department of Health
ID : ICA-CL-2016-02-017
Pays : United Kingdom

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Auteurs

M Farrow (M)

Leeds Institute of Rheumatic and Musculoskeletal Medicine, Chapel Allerton Hospital, University of Leeds, Leeds, UK.
NIHR Leeds Biomedical Research Centre, Leeds Teaching Hospitals NHS Trust, Leeds, UK.
School of Pharmacy and Medical Sciences, University of Bradford, Bradford, UK.

J Biglands (J)

NIHR Leeds Biomedical Research Centre, Leeds Teaching Hospitals NHS Trust, Leeds, UK.
Medical Physics and Engineering, Leeds Teaching Hospitals NHS Trust, Leeds, UK.

S F Tanner (SF)

NIHR Leeds Biomedical Research Centre, Leeds Teaching Hospitals NHS Trust, Leeds, UK.
Medical Physics and Engineering, Leeds Teaching Hospitals NHS Trust, Leeds, UK.

A Clegg (A)

Academic Unit of Ageing and Stroke Research, University of Leeds, Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, UK.

L Brown (L)

Academic Unit of Ageing and Stroke Research, Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, UK.

E M A Hensor (EMA)

Leeds Institute of Rheumatic and Musculoskeletal Medicine, Chapel Allerton Hospital, University of Leeds, Leeds, UK.
NIHR Leeds Biomedical Research Centre, Leeds Teaching Hospitals NHS Trust, Leeds, UK.

P O'Connor (P)

NIHR Leeds Biomedical Research Centre, Leeds Teaching Hospitals NHS Trust, Leeds, UK.

P Emery (P)

Leeds Institute of Rheumatic and Musculoskeletal Medicine, Chapel Allerton Hospital, University of Leeds, Leeds, UK.
NIHR Leeds Biomedical Research Centre, Leeds Teaching Hospitals NHS Trust, Leeds, UK.

A L Tan (AL)

Leeds Institute of Rheumatic and Musculoskeletal Medicine, Chapel Allerton Hospital, University of Leeds, Leeds, UK. A.L.Tan@leeds.ac.uk.
NIHR Leeds Biomedical Research Centre, Leeds Teaching Hospitals NHS Trust, Leeds, UK. A.L.Tan@leeds.ac.uk.

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