Probing cellular health at the muscle level-Multi-frequency bioimpedance in Parkinson's disease.
Marko CelicaninAdrian Paul HarrisonJack Kvistgaard OlsenLise KorboAnnemette LøkkegårdCharlotte Bjerg PetersenBente Danneskiold-SamsøeHartwig Roman SiebnerTihomir IlicElse Marie BartelsPublished in: Physiological reports (2022)
Bioimpedance (mfBIA) non-invasively assesses cellular muscle health. Our aim was to explore whether mfBIA captures abnormal cellular muscle health in patients with Parkinson's Disease (PD) and how such changes are modulated with the use of Parkinson's medication. In patients with PD (n = 20) mfBIA measurements were made of biceps brachii, triceps, and extensor carpi radialis longus muscles of the more affected arm whilst at rest, using a mobile mfBIA device (IMPEDIMED, Australia). mfBIA and assessment of motor symptoms were performed in a pragmatic off-medication state, as well as one and 3 h after oral intake of 200 mg levodopa. Age and sex-matched healthy subjects (HC; n = 20) served as controls. PD and HC mfBIA parameters were compared by applying an unpaired two-tailed adjusted t-test and ANOVA with Tukey's correction for multiple comparisons (p ≤ 0.05). The PD group consisted of 13 men (71 ± 17 years) and 7 women (65 ± 7 years). Independent of medication, internal (R i ) and external resistance (R e ) were found to be significantly higher, and membrane capacitance (Mc) significantly lower, in m.biceps brachii in PD subjects compared to HC. Center frequency (fc) was significantly higher in m.biceps brachii of PD subjects in the "medication-off" state. There was no difference between PD and HC in mfBIA parameters in the measured extensor muscles. The upper limb flexor muscle shows a difference in mfBIA parameters in PD compared to HC. mfBIA may be useful in the diagnosis and assessment of PD patients and is objective, non-invasive, reliable, and easy to use.
Keyphrases
- healthcare
- public health
- skeletal muscle
- mental health
- body composition
- upper limb
- randomized controlled trial
- end stage renal disease
- emergency department
- newly diagnosed
- physical activity
- social media
- prognostic factors
- insulin resistance
- health promotion
- polycystic ovary syndrome
- weight loss
- parkinson disease
- patient reported outcomes
- weight gain