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Probing polypharmacy, ageing and sex effects on physical function using different tests.

Gizem Gemikonakli1, John Mach1, Trang Tran1

  • 1Laboratory of Ageing and Pharmacology, Kolling Institute, Faculty of Medicine and Health, The University of Sydney and the Northern Sydney Local Health District, Sydney, New South Wales, Australia.

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Summary
This summary is machine-generated.

Ageing, sex, and polypharmacy significantly impact mouse physical function. Polypharmacy reduced grip strength across all groups, with varied effects on other tests, highlighting the need for careful study design.

Keywords:
ageingbalanceendurancegrip strengthphysical function

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Area of Science:

  • Gerontology and Pharmacology
  • Animal Models of Aging
  • Neuroscience and Behavior

Background:

  • Physical function declines with age, and is influenced by sex and polypharmacy.
  • Understanding these interactions is crucial for aging research and clinical practice.

Purpose of the Study:

  • To investigate the combined effects of aging, sex, and polypharmacy on mouse physical function.
  • To compare grip strength, balance beam, and wire hang test results across different subgroups.
  • To correlate performance across various physical function tests.

Main Methods:

  • Young and old male and female C57BL/6J mice were assessed for grip strength, balance beam, and wire hang.
  • Mice received either a control diet or a high Drug Burden Index (DBI) polypharmacy regimen for 6-8 weeks.
  • Physical function was reassessed after the treatment period.

Main Results:

  • Both aging and high DBI polypharmacy altered physical function across all tested groups.
  • Sex differences in performance were observed, particularly in control groups.
  • Polypharmacy significantly reduced grip strength in all subgroups and affected wire hang and balance beam performance in old females.

Conclusions:

  • Age, sex, and polypharmacy exert variable effects on different physical function tests.
  • Behavioral measures are valuable for assessing performance and reveal significant within-group variability.
  • Findings can inform the design and sample size of future aging and polypharmacy studies.