Predicting myofiber cross‐sectional area and triglyceride content with electrical impedance myography: A study in db/db mice

Pandeya, Sarbesh; Nagy, Janice A.; Riveros, Daniela; Semple, Carson; Taylor, Rebecca S.; Mortreux, Marie; Sanchez, Benjamin; Kapur, Kush; Rutkove, Seward B.

doi:10.1002/mus.27095

Cited by 19 publications

(37 citation statements)

References 54 publications

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“…Data were collected via in vivo surface and ex vivo approaches using different arrays as described in what follows. 17…”

Section: Eim Methodsmentioning

confidence: 99%

“…Because the number of independent impedance features was significantly larger than the chosen sample, we used the LASSO [15][16][17]31 approach to perform a penalized regression procedure to perform feature selection. As described elsewhere, we employed NLOOCV 17 The average RMSE from all of the individual outer loops became our generalized RMSE. 32 The RMSE and Pearson correlation coefficient in the outer loop that was closest to the generalized RMSE and averaged Pearson correlation were selected to be the final model parameters.…”

Section: Statistical Modeling and Predictionmentioning

confidence: 99%

“…16 Most recently, we have used a similar approach to estimate muscle CSA and triglyceride (TG) content in db/db obese diabetic mice. 17 In this last study, we refined our LASSO predictive methodology by incorporating a nested leave-one-out cross-validation (NLOOCV) so as to avoid overfitting. 17 The rootmean-square error (RMSE) in predicting CSA in these studies ranged from 12% to 15%, [15][16][17] and the RMSE in estimating TG content was larger at 30%.…”

Section: Introductionmentioning

confidence: 99%

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Estimating myofiber cross‐sectional area and connective tissue deposition with electrical impedance myography: A study in D2‐mdx mice

et al. 2021

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Introduction: Surface electrical impedance myography (sEIM) has the potential for providing information on muscle composition and structure noninvasively. We sought to evaluate its use to predict myofiber size and connective tissue deposition in the D2-mdx model of Duchenne muscular dystrophy (DMD).Methods: We applied a prediction algorithm, the least absolute shrinkage and selection operator, to select specific EIM measurements obtained with surface and ex vivo EIM data from D2-mdx and wild-type (WT) mice (analyzed together or separately). We assessed myofiber cross-sectional area histologically and hydroxyproline (HP), a surrogate measure for connective tissue content, biochemically.Results: Using WT and D2-mdx impedance values together in the algorithm, sEIM gave average root-mean-square errors (RMSEs) of 26.6% for CSA and 45.8% for HP, which translate into mean errors of ±363 μm 2 for a mean CSA of 1365 μm 2 and of ±1.44 μg HP/mg muscle for a mean HP content of 3.15 μg HP/mg muscle. Stronger predictions were obtained by analyzing sEIM data from D2-mdx animals alone (RMSEs of 15.3% for CSA and 34.1% for HP content). Predictions made using ex vivo EIM data from D2-mdx animals alone were nearly equivalent to those obtained with sEIM data (RMSE of 16.59% for CSA), and slightly more accurate for HP (RMSE of 26.7%).Discussion: Surface EIM combined with a predictive algorithm can provide estimates of muscle pathology comparable to values obtained using ex vivo EIM, and can be used as a surrogate measure of disease severity and progression and response to therapy.

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“…Data were collected via in vivo surface and ex vivo approaches using different arrays as described in what follows. 17…”

Section: Eim Methodsmentioning

confidence: 99%

Section: Statistical Modeling and Predictionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Estimating myofiber cross‐sectional area and connective tissue deposition with electrical impedance myography: A study in D2‐mdx mice

et al. 2021

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“…While EIM has not yet gained significant attention in the aging field, a significant number of animal (>50) and human (>150) studies on primary and secondary muscle disorders have been published in the extant literature over the past 20 years. This literature base includes studies comparing EIM to muscle histology (Jafarpoor et al, 2013;Arnold et al, 2017;Kapur et al, 2018a,b;Mortreux et al, 2019;Pandeya et al, 2021), theoretical studies assessing current flow (Wang et al, 2011;Pacheck et al, 2016;Kwon et al, 2019), and clinical studies showing EIM's sensitivity to disease progression and loss of muscle function (Esper et al, 2006;Garmirian et al, 2009;Li et al, 2015;Rutkove et al, 2017;Shefner et al, 2018;Roy et al, 2020). While these investigations are from a relatively small group of investigators and have involved seriously debilitating neuromuscular conditions, they underscore the potential utility of EIM in disorders that impact muscle health, such as age-related skeletal muscle function deficits.…”

Section: Could Electrical Impedance Myography Be a Feasible Tool To Evaluate Age-related Skeletal Muscle Function Deficits?mentioning

confidence: 99%

“…Using a similar Lasso technique to that described above, EIM values were recently shown to tightly correlate with muscle triglyceride content in the db/db mouse model of obesity (Figure 4; Pandeya et al, 2021) and connective tissue content in the mdx muscular dystrophy mouse model (Li et al, 2014).…”

Section: Eim Provides a Means Of Quantifying Fat And Connective Tissue Depositionmentioning

confidence: 99%

Potential Utility of Electrical Impedance Myography in Evaluating Age-Related Skeletal Muscle Function Deficits

et al. 2021

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Skeletal muscle function deficits associated with advancing age are due to several physiological and morphological changes including loss of muscle size and quality (conceptualized as a reduction in the intrinsic force-generating capacity of a muscle when adjusted for muscle size). Several factors can contribute to loss of muscle quality, including denervation, excitation-contraction uncoupling, increased fibrosis, and myosteatosis (excessive levels of inter- and intramuscular adipose tissue and intramyocellular lipids). These factors also adversely affect metabolic function. There is a major unmet need for tools to rapidly and easily assess muscle mass and quality in clinical settings with minimal patient and provider burden. Herein, we discuss the potential for electrical impedance myography (EIM) as a tool to evaluate muscle mass and quality in older adults. EIM applies weak, non-detectible (e.g., 400 μA), mutifrequency (e.g., 1 kHz–1 MHz) electrical currents to a muscle (or muscle group) through two excitation electrodes, and resulting voltages are measured via two sense electrodes. Measurements are fast (~5 s/muscle), simple to perform, and unaffected by factors such as hydration that may affect other simple measures of muscle status. After nearly 2 decades of study, EIM has been shown to reflect muscle health status, including the presence of atrophy, fibrosis, and fatty infiltration, in a variety of conditions (e.g., developmental growth and maturation, conditioning/deconditioning, and obesity) and neuromuscular diseases states [e.g., amyotrophic lateral sclerosis (ALS) and muscular dystrophies]. In this article, we describe prior work and current evidence of EIM’s potential utility as a measure of muscle health in aging and geriatric medicine.

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Design and pilot testing of a 26‐gauge impedance‐electromyography needle in wild‐type and ALS mice

Rutkove

Ruehr

et al. 2022

Muscle and Nerve

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Introduction/Aims: Needle impedance-electromyography (iEMG) is a diagnostic modality currently under development that combines intramuscular electrical impedance with concentric electromyography (EMG) in a single needle. We designed, manufactured, and tested a prototype iEMG needle in a cohort of wild-type (WT) and SOD1G93A amyotrophic lateral sclerosis (ALS) mice to assess its ability to record impedance and EMG data.Methods: A new six-electrode, 26-gauge, iEMG needle was designed, manufactured and tested. Quantitative impedance and qualitative "gestalt" EMG were performed sequentially on bilateral quadriceps of 16-wk-old SOD1G93A ALS (N = 6) and WT (N = 6) mice by connecting the needle first to an impedance analyzer (with the animal at rest) and then to a standard EMG system (with the animal fully under anesthesia to measure spontaneous activity and briefly during awakening to measure voluntary activity). The needle remained in the muscle throughout the measurement period.Results: EMG data were qualitatively similar to that observed with a commercially available concentric EMG needle; fibrillation potentials were observed in 84% of the ALS mice and none of the WT mice; motor unit potentials were also readily identified. Impedance data revealed significant differences in resistance, reactance, and phase values between the two groups, with ALS animals having reduced reactance and resistance values.Discussion: This work demonstrates the feasibility of a single iEMG needle conforming to standard dimensions of size and function. Further progress of iEMG technology for enhanced neuromuscular diagnosis and quantification of disease status is currently in development.

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Predicting myofiber cross‐sectional area and triglyceride content with electrical impedance myography: A study in db/db mice

Cited by 19 publications

References 54 publications

Estimating myofiber cross‐sectional area and connective tissue deposition with electrical impedance myography: A study in D2‐mdx mice

Estimating myofiber cross‐sectional area and connective tissue deposition with electrical impedance myography: A study in D2‐mdx mice

Potential Utility of Electrical Impedance Myography in Evaluating Age-Related Skeletal Muscle Function Deficits

Design and pilot testing of a 26‐gauge impedance‐electromyography needle in wild‐type and ALS mice

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