{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,23]],"date-time":"2026-07-23T16:12:30Z","timestamp":1784823150326,"version":"3.55.0"},"reference-count":33,"publisher":"Walter de Gruyter GmbH","issue":"1","license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,1,1]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Motivation<\/jats:title>\n                    <jats:p>Anorexia Nervosa (AN) is characterized by a severe reduction in caloric intake resulting in substantial weight loss. Methods to evaluate muscle loss specifically during AN or following a weight recovery intervention are difficult to administer and expensive.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Purpose<\/jats:title>\n                    <jats:p>To evaluate the utility of electrical impedance myography (EIM) to assess changes to muscle mass during simulated AN and different durations of weight recovery in rats.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>Female Sprague-Dawley rats (n=11\/group, total of 66 rats, 8 weeks old) were divided into simulated AN or healthy control conditions. Simulated AN included 30 days of 50\u201360% food restriction. Following AN intervention, rats were further subdivided into recovery cohorts which included five, fifteen, or thirty days of ab libitum food consumption to elicit weight gain. EIM was assessed at various stages of weight loss and recovery and correlated to metrics of muscle mass.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>Various EIM parameters detected changes in muscle mass both during simulated AN and following weight restoration. The resistance parameter produced the most consistent results during simulated AN and following various stages of weight recovery. Moreover, the resistance parameter had the highest correlation with gastrocnemius mass (r = ~0.50, p&lt;0.05). Maximal tetanic plantar flexion was also analyzed but did not correlate with any EIM parameters.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>EIM can non-invasively detect changes to muscle mass during AN and following various states of weight recovery.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.2478\/joeb-2025-0014","type":"journal-article","created":{"date-parts":[[2025,8,14]],"date-time":"2025-08-14T05:00:52Z","timestamp":1755147652000},"page":"107-114","source":"Crossref","is-referenced-by-count":1,"title":["Electrical impedance myography as a marker of muscle mass in rats with simulated Anorexia Nervosa"],"prefix":"10.2478","volume":"16","author":[{"given":"Megan E.","family":"Rosa-Caldwell","sequence":"first","affiliation":[{"name":"Energy Availability and Muscle Metabolism Laboratory, Exercise Science Research Center , Department of Health, Human Performance, and Recreation , University of Arkansas , Fayetteville , AR"},{"name":"Beth Israel Deaconess Medical Center and Harvard Medical School , Department of Neurology , Boston , MA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Buket Sonbas","family":"Cobb","sequence":"additional","affiliation":[{"name":"Beth Israel Deaconess Medical Center and Harvard Medical School , Department of Neurology , Boston , MA"},{"name":"Department of Electrical and Electronic Engineering , Harran University , Sanliurfa , Turkey"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lauren","family":"Breithaupt","sequence":"additional","affiliation":[{"name":"Department of Psychiatry , Harvard Medical School, Eating Disorders Clinical and Research Program, Massachusetts General Hospital , Boston , MA"},{"name":"Mass General Brigham Multidisciplinary Eating Disorders Research Collaborative, Mass General Brigham , Boston , MA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Seward B.","family":"Rutkove","sequence":"additional","affiliation":[{"name":"Beth Israel Deaconess Medical Center and Harvard Medical School , Department of Neurology , Boston , MA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"374","published-online":{"date-parts":[[2025,8,6]]},"reference":[{"key":"2026041206301638303_j_joeb-2025-0014_ref_001","doi-asserted-by":"crossref","unstructured":"Micali N, Martini MG, Thomas JJ, et al. Lifetime and 12-month prevalence of eating disorders amongst women in mid-life: a population-based study of diagnoses and risk factors. BMC Med. 2017;15:12. https:\/\/doi.org\/10.1186\/s12916-016-0766-4","DOI":"10.1186\/s12916-016-0766-4"},{"key":"2026041206301638303_j_joeb-2025-0014_ref_002","doi-asserted-by":"crossref","unstructured":"Smink FR, van Hoeken D, Hoek HW. Epidemiology, course, and outcome of eating disorders. Curr Opin Psychiatry. 2013;26(6):543\u2013548. https:\/\/doi.org\/10.1097\/YCO.0b013e328365a24f","DOI":"10.1097\/YCO.0b013e328365a24f"},{"key":"2026041206301638303_j_joeb-2025-0014_ref_003","doi-asserted-by":"crossref","unstructured":"Galmiche M, D\u00e9chelotte P, Lambert G, Tavolacci MP. Prevalence of eating disorders over the 2000\u20132018 period: a systematic literature review. The American Journal of Clinical Nutrition. 2019;109(5): 1402\u20131413. https:\/\/doi.org\/10.1093\/ajcn\/nqy342","DOI":"10.1093\/ajcn\/nqy342"},{"key":"2026041206301638303_j_joeb-2025-0014_ref_004","doi-asserted-by":"crossref","unstructured":"Rosa-Caldwell ME, Eddy KT, Rutkove SB, Breithaupt L. Anorexia nervosa and muscle health: A systematic review of our current understanding and future recommendations for study. The International Journal of Eating Disorders. 2022;56(3):483\u2013500. https:\/\/doi.org\/10.1002\/eat.23878","DOI":"10.1002\/eat.23878"},{"key":"2026041206301638303_j_joeb-2025-0014_ref_005","doi-asserted-by":"crossref","unstructured":"Rosa-Caldwell ME, Breithaupt L, et al. A refined rodent model of anorexia nervosa: Simulating state-specific effects of caloric restriction and weight restoration. Physiological Reports. 2024;12:e16092. https:\/\/doi.org\/10.14814\/phy2.16092","DOI":"10.14814\/phy2.16092"},{"key":"2026041206301638303_j_joeb-2025-0014_ref_006","doi-asserted-by":"crossref","unstructured":"Lavalle S, Scapaticci R, Masiello E, et al. Advancements in sarcopenia diagnosis: from imaging techniques to non-radiation assessments. Frontiers in Medical Technology. 2024;6. https:\/\/doi.org\/10.3389\/fmedt.2024.1467155","DOI":"10.3389\/fmedt.2024.1467155"},{"key":"2026041206301638303_j_joeb-2025-0014_ref_007","doi-asserted-by":"crossref","unstructured":"Sanchez B, Rutkove SB. Present Uses, Future Applications, and Technical Underpinnings of Electrical Impedance Myography. Current Neurology and Neuroscience Reports. 2017;17(11):86. https:\/\/doi.org\/10.1007\/s11910-017-0793-3","DOI":"10.1007\/s11910-017-0793-3"},{"key":"2026041206301638303_j_joeb-2025-0014_ref_008","doi-asserted-by":"crossref","unstructured":"Rutkove SB, Chen ZZ, Pandeya S, et al. Surface Electrical Impedance Myography Detects Skeletal Muscle Atrophy in Aged Wildtype Zebrafish and Aged gpr27 Knockout Zebrafish. Biomedicines. 2023;11(7):1938. https:\/\/doi.org\/10.3390\/biomedicines11071938","DOI":"10.3390\/biomedicines11071938"},{"key":"2026041206301638303_j_joeb-2025-0014_ref_009","doi-asserted-by":"crossref","unstructured":"Rutkove SB, Callegari S, Concepcion H, et al. Electrical impedance myography detects age-related skeletal muscle atrophy in adult zebrafish. Scientific Reports. 2023;13(1):7191. https:\/\/doi.org\/10.1038\/s41598-023-34119-6","DOI":"10.1038\/s41598-023-34119-6"},{"key":"2026041206301638303_j_joeb-2025-0014_ref_010","doi-asserted-by":"crossref","unstructured":"Taruta A, Hiyoshi T, Harada A, Nakashima M. Electrical impedance myography detects progressive pathological alterations in the hindlimb muscle of the PMP22-C3 mice, an animal model of CMT1A. Experimental Neurology. 2025;385:115111. https:\/\/doi.org\/10.1016\/j.expneurol.2024.115111","DOI":"10.1016\/j.expneurol.2024.115111"},{"key":"2026041206301638303_j_joeb-2025-0014_ref_011","doi-asserted-by":"crossref","unstructured":"Rosa-Caldwell ME, Pandeya S, Mortreux M, Rutkove SB. Predicting muscle function and mass with electrical impedance myography: A study in rat analogs of micro- and partial gravity. Acta Astronautica. 2024;223:384\u2013388. https:\/\/doi.org\/10.1016\/j.actaastro.2024.07.017","DOI":"10.1016\/j.actaastro.2024.07.017"},{"key":"2026041206301638303_j_joeb-2025-0014_ref_012","doi-asserted-by":"crossref","unstructured":"Chrzanowski SM, Nagy JA, Pandeya S, Rutkove SB. Electrical Impedance Myography Correlates with Functional Measures of Disease Progression in D2-mdx Mice and Boys with Duchenne Muscular Dystrophy. Journal of Neuromuscular Diseases. 2023;10(1):81\u201390. https:\/\/doi.org\/10.3233\/JND-210787","DOI":"10.3233\/JND-210787"},{"key":"2026041206301638303_j_joeb-2025-0014_ref_013","doi-asserted-by":"crossref","unstructured":"Semple C, Riveros D, Dung D-M, Nagy JA, Rutkove SB, Mortreux M. Using Electrical Impedance Myography as a Biomarker of Muscle Deconditioning in Rats Exposed to Micro- and Partial-Gravity Analogs. Frontiers in Physiology. 2020;11. https:\/\/doi.org\/10.3389\/fphys.2020.557796","DOI":"10.3389\/fphys.2020.557796"},{"key":"2026041206301638303_j_joeb-2025-0014_ref_014","doi-asserted-by":"crossref","unstructured":"Mortreux M, Rosa-Caldwell ME, Stiehl ID, et al. Hindlimb suspension in Wistar rats: Sex-based differences in muscle response. Physiological Reports. 2021;9(19):e15042. https:\/\/doi.org\/10.14814\/phy2.15042","DOI":"10.14814\/phy2.15042"},{"key":"2026041206301638303_j_joeb-2025-0014_ref_015","doi-asserted-by":"crossref","unstructured":"Rosa-Caldwell ME, Mortreux M, Wadhwa A, et al. Influence of gonadectomy on muscle health in micro- and partial-gravity environments in rats. Journal of Applied Physiology. 2023;134(6):1438\u20131449. https:\/\/doi.org\/10.1152\/japplphysiol.00023.2023","DOI":"10.1152\/japplphysiol.00023.2023"},{"key":"2026041206301638303_j_joeb-2025-0014_ref_016","doi-asserted-by":"crossref","unstructured":"Rosa-Caldwell ME, Mortreux M, Wadhwa A, et al. Sex differences in muscle health in simulated micro- and partial-gravity environments in rats. Sports Medicine and Health Science. 2023;5(4):319\u2013328. https:\/\/doi.org\/10.1016\/j.smhs.2023.09.002","DOI":"10.1016\/j.smhs.2023.09.002"},{"key":"2026041206301638303_j_joeb-2025-0014_ref_017","doi-asserted-by":"crossref","unstructured":"Mortreux M, Semple C, Riveros D, Nagy JA, Rutkove SB. Electrical impedance myography for the detection of muscle inflammation induced by lambda-carrageenan. PLoS One. 2019;14(10):e0223265. https:\/\/doi.org\/10.1371\/journal.pone.0223265","DOI":"10.1371\/journal.pone.0223265"},{"key":"2026041206301638303_j_joeb-2025-0014_ref_018","doi-asserted-by":"crossref","unstructured":"Ayll\u00f3n D, Gil-Pita R, Seoane F. Detection and Classification of Measurement Errors in Bioimpedance Spectroscopy. PloS One. 2016;11(6): e0156522. https:\/\/doi.org\/10.1371\/journal.pone.0156522","DOI":"10.1371\/journal.pone.0156522"},{"key":"2026041206301638303_j_joeb-2025-0014_ref_019","doi-asserted-by":"crossref","unstructured":"Wang Y, Freedman L, Buck M, Bohorquez J, Rutkove SB, Keel J. Electrical Impedance Myography for Assessing Paraspinal Muscles of Patients with Low Back Pain. Journal of Electrical Bioimpedance. 2019;10(1):103\u2013109. https:\/\/doi.org\/10.2478\/joeb-2019-0015","DOI":"10.2478\/joeb-2019-0015"},{"key":"2026041206301638303_j_joeb-2025-0014_ref_020","doi-asserted-by":"crossref","unstructured":"Rutkove SB, Fogerson PM, Garmirian LP, Tarulli AW. Reference values for 50-kHz electrical impedance myography. Muscle & Nerve. 2008;38(3):1128\u20131132. https:\/\/doi.org\/10.1002\/mus.21075","DOI":"10.1002\/mus.21075"},{"key":"2026041206301638303_j_joeb-2025-0014_ref_021","doi-asserted-by":"crossref","unstructured":"Hiyoshi T, Zhao F, Baba R, et al. Electrical impedance myography detects dystrophin-related muscle changes in mdx mice. Skeletal Muscle. 2023;13(1):19. https:\/\/doi.org\/10.1186\/s13395-023-00331-1","DOI":"10.1186\/s13395-023-00331-1"},{"key":"2026041206301638303_j_joeb-2025-0014_ref_022","doi-asserted-by":"crossref","unstructured":"Lechtig A, Hanna P, Nagy JA, Wixted J, Nazarian A, Rutkove SB. Electrical impedance myography for the early detection of muscle ischemia secondary to compartment syndrome: a study in a rat model. Scientific Reports. 2023;13(1):18252. https:\/\/doi.org\/10.1038\/s41598-023-45209-w","DOI":"10.1038\/s41598-023-45209-w"},{"key":"2026041206301638303_j_joeb-2025-0014_ref_023","doi-asserted-by":"crossref","unstructured":"Albano D, Gitto S, Vitale J, et al. Knee Muscles Composition Using Electrical Impedance Myography and Magnetic Resonance Imaging. Diagnostics. 2022;12(9):2217. https:\/\/doi.org\/10.3390\/diagnostics12092217","DOI":"10.3390\/diagnostics12092217"},{"key":"2026041206301638303_j_joeb-2025-0014_ref_024","doi-asserted-by":"crossref","unstructured":"Schwartz S, Geisbush TR, Mijailovic A, Pasternak A, Darras BT, Rutkove SB. Optimizing electrical impedance myography measurements by using a multifrequency ratio: a study in Duchenne muscular dystrophy. Clinical Neurophysiology. 2015;126(1):202\u2013208. https:\/\/doi.org\/10.1016\/j.clinph.2014.05.007","DOI":"10.1016\/j.clinph.2014.05.007"},{"key":"2026041206301638303_j_joeb-2025-0014_ref_025","doi-asserted-by":"crossref","unstructured":"Clark-Matott J, Nagy JA, Sanchez B, et al. Altered muscle electrical tissue properties in a mouse model of premature aging. Muscle & Nerve. 2019;60(6):801\u2013810. https:\/\/doi.org\/10.1002\/mus.26714","DOI":"10.1002\/mus.26714"},{"key":"2026041206301638303_j_joeb-2025-0014_ref_026","doi-asserted-by":"crossref","unstructured":"Nagy JA, Kapur K, Taylor RS, Sanchez B, Rutkove SB. Electrical impedance myography as a biomarker of myostatin inhibition with ActRIIB-mFc: a study in wild-type mice. Future Science OA. 2018;4(6): FSO308. https:\/\/doi.org\/10.4155\/fsoa-2018-0002","DOI":"10.4155\/fsoa-2018-0002"},{"key":"2026041206301638303_j_joeb-2025-0014_ref_027","doi-asserted-by":"crossref","unstructured":"Arnold WD, Taylor RS, Li J, Nagy JA, Sanchez B, Rutkove SB. Electrical impedance myography detects age-related muscle change in mice. PloS One. 2017;12(10):e0185614. https:\/\/doi.org\/10.1371\/journal.pone.0185614","DOI":"10.1371\/journal.pone.0185614"},{"key":"2026041206301638303_j_joeb-2025-0014_ref_028","doi-asserted-by":"crossref","unstructured":"Wang LL, Spieker AJ, Li J, Rutkove SB. Electrical impedance myography for monitoring motor neuron loss in the SOD1 G93A amyotrophic lateral sclerosis rat. Clinical Neurophysiology. 2011;122(12):2505\u20132511. https:\/\/doi.org\/10.1016\/j.clinph.2011.04.021","DOI":"10.1016\/j.clinph.2011.04.021"},{"key":"2026041206301638303_j_joeb-2025-0014_ref_029","doi-asserted-by":"crossref","unstructured":"Hooijmans MT, Niks EH, Burakiewicz J, et al. Non-uniform muscle fat replacement along the proximodistal axis in Duchenne muscular dystrophy. Neuromuscular Disorders : NMD. 2017;27(5):458\u2013464. https:\/\/doi.org\/10.1016\/j.nmd.2017.02.009","DOI":"10.1016\/j.nmd.2017.02.009"},{"key":"2026041206301638303_j_joeb-2025-0014_ref_030","doi-asserted-by":"crossref","unstructured":"Clark BC, Rutkove S, Lupton EC, Padilla CJ, Arnold WD. Potential Utility of Electrical Impedance Myography in Evaluating Age-Related Skeletal Muscle Function Deficits. Frontiers in Physiology. 2021;12. https:\/\/doi.org\/10.3389\/fphys.2021.666964","DOI":"10.3389\/fphys.2021.666964"},{"key":"2026041206301638303_j_joeb-2025-0014_ref_031","doi-asserted-by":"crossref","unstructured":"Mortreux M, Rosa-Caldwell ME. Approaching Gravity as a Continuum Using the Rat Partial Weight-Bearing Model. Life. 2020;10(10):235. https:\/\/doi.org\/10.3390\/life10100235","DOI":"10.3390\/life10100235"},{"key":"2026041206301638303_j_joeb-2025-0014_ref_032","doi-asserted-by":"crossref","unstructured":"Mortreux M, Ko FC, Riveros D, Bouxsein ML, Rutkove SB. Longitudinal time course of muscle impairments during partial weight-bearing in rats. NPJ Microgravity. 2019;5:20. https:\/\/doi.org\/10.1038\/s41526-019-0080-5","DOI":"10.1038\/s41526-019-0080-5"},{"key":"2026041206301638303_j_joeb-2025-0014_ref_033","doi-asserted-by":"crossref","unstructured":"Pandeya SR, Nagy JA, Riveros D, et al. Relationships between in vivo surface and ex vivo electrical impedance myography measurements in three different neuromuscular disorder mouse models. PloS One. 2021;16(10): e0259071. https:\/\/doi.org\/10.1371\/journal.pone.0259071","DOI":"10.1371\/journal.pone.0259071"}],"container-title":["Journal of Electrical Bioimpedance"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/reference-global.com\/pdf\/10.2478\/joeb-2025-0014","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,4,12]],"date-time":"2026-04-12T06:30:31Z","timestamp":1775975431000},"score":1,"resource":{"primary":{"URL":"https:\/\/reference-global.com\/article\/10.2478\/joeb-2025-0014"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,1,1]]},"references-count":33,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2025,8,6]]},"published-print":{"date-parts":[[2025,1,1]]}},"alternative-id":["10.2478\/joeb-2025-0014"],"URL":"https:\/\/doi.org\/10.2478\/joeb-2025-0014","relation":{},"ISSN":["1891-5469"],"issn-type":[{"value":"1891-5469","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,1,1]]}}}