{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,5]],"date-time":"2026-10-05T18:26:32Z","timestamp":1791224792759,"version":"4.1.0"},"reference-count":49,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2022,5,30]],"date-time":"2022-05-30T00:00:00Z","timestamp":1653868800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/100000199","name":"U.S. Department of Agriculture","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100000199","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000062","name":"National Institute of Diabetes and Digestive and Kidney Diseases","doi-asserted-by":"publisher","award":["K24 DK102595"],"award-info":[{"award-number":["K24 DK102595"]}],"id":[{"id":"10.13039\/100000062","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000062","name":"National Institute of Diabetes and Digestive and Kidney Diseases","doi-asserted-by":"publisher","award":["R01 DK088925"],"award-info":[{"award-number":["R01 DK088925"]}],"id":[{"id":"10.13039\/100000062","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000062","name":"National Institute of Diabetes and Digestive and Kidney Diseases","doi-asserted-by":"publisher","award":["T32DK007665"],"award-info":[{"award-number":["T32DK007665"]}],"id":[{"id":"10.13039\/100000062","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","award":["R01 DK100651"],"award-info":[{"award-number":["R01 DK100651"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100006108","name":"National Center for Advancing Translational Sciences","doi-asserted-by":"publisher","award":["1UL1RR025011"],"award-info":[{"award-number":["1UL1RR025011"]}],"id":[{"id":"10.13039\/100006108","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100006108","name":"National Center for Advancing Translational Sciences","doi-asserted-by":"publisher","award":["9U54TR000021"],"award-info":[{"award-number":["9U54TR000021"]}],"id":[{"id":"10.13039\/100006108","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100006108","name":"National Center for Advancing Translational Sciences","doi-asserted-by":"publisher","award":["KL2TR002374"],"award-info":[{"award-number":["KL2TR002374"]}],"id":[{"id":"10.13039\/100006108","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100006108","name":"National Center for Advancing Translational Sciences","doi-asserted-by":"publisher","award":["UL1TR002373"],"award-info":[{"award-number":["UL1TR002373"]}],"id":[{"id":"10.13039\/100006108","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100010495","name":"Department of Radiology, University of Wisconsin-Madison","doi-asserted-by":"publisher","award":["#1204-001"],"award-info":[{"award-number":["#1204-001"]}],"id":[{"id":"10.13039\/100010495","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["frontiersin.org"],"crossmark-restriction":true},"short-container-title":["Front. Rehabilit. Sci."],"abstract":"<jats:sec>\n                    <jats:title>Purpose<\/jats:title>\n                    <jats:p>Establish bedside biomarkers of myosteatosis for sarcopenia and cachexia. We compared ultrasound biomarkers against MRI-based percent fat, histology, and CT-based muscle density among healthy adults and adults undergoing treatment for lung cancer.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>\n                      We compared ultrasound and MRI myosteatosis measures among young healthy, older healthy, and older adults with non-small cell lung cancer undergoing systemic treatment, all without significant medical concerns, in a cross-sectional pilot study. We assessed each participant's rectus femoris ultrasound-based echo intensity (EI), shear wave elastography-based shear wave speed, and MRI-based proton density fat-fraction (PDFF). We also assessed BMI, rectus femoris thickness and cross-sectional area. Rectus femoris biopsies were taken for all older adults (\n                      <jats:italic>n<\/jats:italic>\n                      = 20) and we analyzed chest CT scans for older adults undergoing treatment (\n                      <jats:italic>n<\/jats:italic>\n                      = 10). We determined associations between muscle assessments and BMI, and compared these assessments between groups.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      A total of 10 young healthy adults, 10 older healthy adults, and 10 older adults undergoing treatment were recruited. PDFF was lower in young adults than in older healthy adults and older adults undergoing treatment (0.3 vs. 2.8 vs. 2.9%, respectively,\n                      <jats:italic>p<\/jats:italic>\n                      = 0.01). Young adults had significantly lower EI than older healthy adults, but not older adults undergoing treatment (48.6 vs. 81.8 vs. 75.4,\n                      <jats:italic>p<\/jats:italic>\n                      = 0.02). When comparing associations between measures, PDFF was strongly associated with EI (\u03c1 = 0.75,\n                      <jats:italic>p<\/jats:italic>\n                      &amp;lt; 0.01) and moderately negatively associated with shear wave speed (\u03c1 = \u22120.49,\n                      <jats:italic>p<\/jats:italic>\n                      &amp;lt; 0.01) but not BMI, whole leg cross-sectional area, or rectus femoris cross-sectional area. Among participants with CT scans, paraspinal muscle density was significantly associated with PDFF (\u03c1 = \u22120.70,\n                      <jats:italic>p<\/jats:italic>\n                      = 0.023). Histological markers of inflammation or degradation did not differ between older adult groups.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>PDFF was sensitive to myosteatosis between young adults and both older adult groups. EI was less sensitive to myosteatosis between groups, yet EI was strongly associated with PDFF unlike BMI, which is typically used in cachexia diagnosis. Our results suggest that ultrasound measures may serve to determine myosteatosis at the bedside and are more useful diagnostically than traditional weight assessments like BMI. These results show promise of using EI, shear wave speed, and PDFF proxies of myosteatosis as diagnostic and therapeutic biomarkers of sarcopenia and cachexia.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.3389\/fresc.2022.896114","type":"journal-article","created":{"date-parts":[[2022,5,30]],"date-time":"2022-05-30T00:38:41Z","timestamp":1653871121000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":17,"title":["Myosteatosis as a Shared Biomarker for Sarcopenia and Cachexia Using MRI and Ultrasound"],"prefix":"10.3389","volume":"3","author":[{"given":"Jevin","family":"Lortie","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Benjamin","family":"Rush","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Katie","family":"Osterbauer","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"T. J.","family":"Colgan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Daiki","family":"Tamada","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sujay","family":"Garlapati","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Toby C.","family":"Campbell","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Anne","family":"Traynor","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ticiana","family":"Leal","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Viharkumar","family":"Patel","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jeffrey J.","family":"Helgager","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kenneth","family":"Lee","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Scott B.","family":"Reeder","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Adam J.","family":"Kuchnia","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1965","published-online":{"date-parts":[[2022,5,30]]},"reference":[{"key":"B1","doi-asserted-by":"publisher","first-page":"412","DOI":"10.1093\/ageing\/afq034","article-title":"Sarcopenia: European consensus on definition and diagnosis: Report of the European Working Group on Sarcopenia in Older People","volume":"39","author":"Cruz-Jentoft","year":"2010","journal-title":"Age Ageing."},{"key":"B2","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1038\/nrdp.2017.105","article-title":"Cancer-associated cachexia","volume":"4","author":"Baracos","year":"2018","journal-title":"Nat Rev Dis Primer."},{"key":"B3","doi-asserted-by":"publisher","first-page":"16","DOI":"10.1093\/ageing\/afz046","article-title":"Sarcopenia: revised European consensus on definition and diagnosis","volume":"48","author":"Cruz-Jentoft","year":"2019","journal-title":"Age Ageing."},{"key":"B4","doi-asserted-by":"publisher","first-page":"17","DOI":"10.4251\/wjgo.v7.i4.17","article-title":"Cancer cachexia, mechanism and treatment","volume":"7","author":"Aoyagi","year":"2015","journal-title":"World J Gastrointest Oncol."},{"key":"B5","doi-asserted-by":"publisher","first-page":"45","DOI":"10.1186\/2049-3258-72-45","article-title":"Sarcopenia: burden and challenges for public health","volume":"72","author":"Beaudart","year":"2014","journal-title":"Arch Public Health."},{"key":"B6","doi-asserted-by":"publisher","first-page":"12","DOI":"10.1002\/jpen.1669","article-title":"American society for parenteral and enteral nutrition clinical guidelines: the validity of body composition assessment in clinical populations","volume":"44","author":"Sheean","year":"2020","journal-title":"J Parenter Enter Nutr."},{"key":"B7","doi-asserted-by":"publisher","first-page":"5597","DOI":"10.2147\/CMAR.S261585","article-title":"Cancer cachexia: definition, staging, and emerging treatments","volume":"12","author":"Ni","year":"2020","journal-title":"Cancer Manag Res."},{"key":"B8","doi-asserted-by":"publisher","first-page":"748","DOI":"10.1093\/ageing\/afu115","article-title":"Prevalence of and interventions for sarcopenia in ageing adults: a systematic review. Report of the International Sarcopenia Initiative (EWGSOP and IWGS)","volume":"43","author":"Cruz-Jentoft","year":"2014","journal-title":"Age Ageing."},{"key":"B9","doi-asserted-by":"publisher","first-page":"871","DOI":"10.1007\/s11357-012-9384-z","article-title":"Defining sarcopenia: the impact of different diagnostic criteria on the prevalence of sarcopenia in a large middle aged cohort","volume":"35","author":"Bijlsma","year":"2013","journal-title":"Age."},{"key":"B10","doi-asserted-by":"publisher","first-page":"361","DOI":"10.1177\/0148607108325076","article-title":"Defining and classifying cancer cachexia: a proposal by the SCRINIO Working Group","volume":"33","author":"Bozzetti","year":"2009","journal-title":"J Parenter Enter Nutr."},{"key":"B11","doi-asserted-by":"publisher","first-page":"335","DOI":"10.1016\/j.clnu.2015.03.001","article-title":"Diagnostic criteria for malnutrition \u2013 An ESPEN Consensus Statement","volume":"34","author":"Cederholm","year":"2015","journal-title":"Clin Nutr."},{"key":"B12","doi-asserted-by":"publisher","first-page":"793","DOI":"10.1016\/j.clnu.2008.06.013","article-title":"Cachexia: a new definition","volume":"27","author":"Evans","year":"2008","journal-title":"Clin Nutr."},{"key":"B13","doi-asserted-by":"publisher","first-page":"20","DOI":"10.1177\/0884533616676264","article-title":"The use of technology for estimating body composition: strengths and weaknesses of common modalities in a clinical setting","volume":"32","author":"Teigen","year":"2017","journal-title":"Nutr Clin Pract."},{"key":"B14","doi-asserted-by":"publisher","first-page":"2891","DOI":"10.1016\/j.ultrasmedbio.2020.06.023","article-title":"Usability and pitfalls of shear-wave elastography for evaluation of muscle quality and its potential in assessing sarcopenia: a review","volume":"46","author":"Bastijns","year":"2020","journal-title":"Ultrasound Med Biol."},{"key":"B15","doi-asserted-by":"publisher","first-page":"582","DOI":"10.2214\/AJR.20.22874","article-title":"Value-added opportunistic CT: insights into osteoporosis and sarcopenia","volume":"215","author":"Boutin","year":"2020","journal-title":"Am J Roentgenol."},{"key":"B16","doi-asserted-by":"publisher","first-page":"713","DOI":"10.1002\/jcsm.12213","article-title":"Development of a bedside viable ultrasound protocol to quantify appendicular lean tissue mass","volume":"8","author":"Paris","year":"2017","journal-title":"J Cachexia Sarcopenia Muscle."},{"key":"B17","doi-asserted-by":"publisher","first-page":"429","DOI":"10.1177\/1941738116664326","article-title":"Update in musculoskeletal ultrasound research","volume":"8","author":"Nwawka","year":"2016","journal-title":"Sports Health."},{"key":"B18","doi-asserted-by":"publisher","first-page":"1059","DOI":"10.1093\/gerona\/61.10.1059","article-title":"The loss of skeletal muscle strength, mass, and quality in older adults: the health, aging and body composition study","volume":"61","author":"Goodpaster","year":"2006","journal-title":"J Gerontol A Biol Sci Med Sci."},{"key":"B19","doi-asserted-by":"publisher","first-page":"963","DOI":"10.3389\/fphys.2020.00963","article-title":"Myosteatosis in the context of skeletal muscle function deficit: an interdisciplinary workshop at the National Institute on Aging","volume":"11","author":"Correa-de-Araujo","year":"2020","journal-title":"Front Physiol"},{"key":"B20","doi-asserted-by":"publisher","first-page":"1011","DOI":"10.1002\/jmri.23741","article-title":"Proton density fat-fraction: a standardized MR-based biomarker of tissue fat concentration","volume":"36","author":"Reeder","year":"2012","journal-title":"J Magn Reson Imaging."},{"key":"B21","doi-asserted-by":"crossref","first-page":"995","DOI":"10.1002\/jmri.25845","article-title":"MRI proton density fat fraction is robust across the biologically plausible range of triglyceride spectra in adults with nonalcoholic steatohepatitis","volume":"47","author":"Hong","year":"2018","journal-title":"J Magn Reson Imaging."},{"key":"B22","doi-asserted-by":"publisher","first-page":"5272","DOI":"10.1007\/s00330-020-06885-8","article-title":"Speed of sound ultrasound: comparison with proton density fat fraction assessed with Dixon MRI for fat content quantification of the lower extremity","volume":"30","author":"Ruby","year":"2020","journal-title":"Eur Radiol."},{"key":"B23","doi-asserted-by":"publisher","first-page":"302","DOI":"10.3390\/diagnostics11020302","article-title":"Association of thigh muscle strength with texture features based on proton density fat fraction maps derived from chemical shift encoding-based water\u2013fat MRI","volume":"11","author":"Dieckmeyer","year":"2021","journal-title":"Diagnostics."},{"key":"B24","doi-asserted-by":"publisher","first-page":"308","DOI":"10.1016\/j.cardfail.2019.11.021","article-title":"A novel model incorporating pectoralis muscle measures to predict mortality after ventricular assist device implantation: the minnesota pectoralis risk score","volume":"26","author":"Cogswell","year":"2020","journal-title":"J Card Fail."},{"key":"B25","doi-asserted-by":"publisher","DOI":"10.1259\/bjr.20190327","article-title":"Deep learning-based muscle segmentation and quantifcation at abdominal CT: application to a longitudinal adult screening cohort for sarcopenia assessment","author":"Graffy","year":"2019","journal-title":"Br J Radiol"},{"key":"B26","doi-asserted-by":"publisher","first-page":"386","DOI":"10.1186\/s13054-016-1563-3","article-title":"Skeletal muscle quality as assessed by CT-derived skeletal muscle density is associated with 6-month mortality in mechanically ventilated critically ill patients","volume":"20","author":"Looijaard","year":"2016","journal-title":"Crit Care."},{"key":"B27","doi-asserted-by":"publisher","first-page":"522","DOI":"10.1017\/9781139048842","article-title":"Association of chest CT-based quantitative measures of muscle and fat with post-lung transplant survival and morbidity: a single institutional retrospective cohort study in Korean population","volume":"20","author":"Cho","year":"2019","journal-title":"Korean J Radiol."},{"key":"B28","doi-asserted-by":"publisher","first-page":"2277","DOI":"10.1111\/ajt.13732","article-title":"Systematic review and meta-analysis of the impact of computed tomography\u2013assessed skeletal muscle mass on outcome in patients awaiting or undergoing liver transplantation","volume":"16","author":"van Vugt","year":"2016","journal-title":"Am J Transplant."},{"key":"B29","doi-asserted-by":"publisher","first-page":"1242","DOI":"10.1002\/jcsm.12603","article-title":"Muscle wasting as an independent predictor of survival in patients with chronic heart failure","volume":"11","author":"von Haehling","year":"2020","journal-title":"J Cachexia Sarcopenia Muscle."},{"key":"B30","doi-asserted-by":"publisher","first-page":"172","DOI":"10.3389\/fnagi.2014.00172","article-title":"Quantitative ultrasound: measurement considerations for the assessment of muscular dystrophy and sarcopenia","volume":"6","author":"Harris-Love","year":"2014","journal-title":"Front Aging Neurosci"},{"key":"B31","doi-asserted-by":"publisher","first-page":"340","DOI":"10.3390\/jcm7100340","article-title":"The comparative associations of ultrasound and computed tomography estimates of muscle quality with physical performance and metabolic parameters in older men","volume":"7","author":"Harris-Love","year":"2018","journal-title":"J Clin Med."},{"key":"B32","doi-asserted-by":"publisher","first-page":"2207","DOI":"10.1016\/j.apmr.2014.07.007","article-title":"Ultrasound elastography: the new frontier in direct measurement of muscle stiffness","volume":"95","author":"Brandenburg","year":"2014","journal-title":"Arch Phys Med Rehabil."},{"key":"B33","doi-asserted-by":"publisher","first-page":"22","DOI":"10.1016\/j.clinbiomech.2014.11.011","article-title":"Shear wave elastography of passive skeletal muscle stiffness: influences of sex and age throughout adulthood","volume":"30","author":"Eby","year":"2015","journal-title":"Clin Biomech."},{"key":"B34","doi-asserted-by":"publisher","first-page":"59","DOI":"10.1016\/j.archger.2015.09.011","article-title":"Measurement of ageing effects on muscle tone and mechanical properties of rectus femoris and biceps brachii in healthy males and females using a novel hand-held myometric device","volume":"62","author":"Agyapong-Badu","year":"2016","journal-title":"Arch Gerontol Geriatr."},{"key":"B35","doi-asserted-by":"publisher","first-page":"1122","DOI":"10.1002\/mrm.21737","article-title":"Multiecho water-fat separation and simultaneous R estimation with multifrequency fat spectrum modeling","volume":"60","author":"Yu","year":"2008","journal-title":"Magn Reson Med."},{"key":"B36","doi-asserted-by":"publisher","first-page":"155","DOI":"10.1016\/j.jcm.2016.02.012","article-title":"A guideline of selecting and reporting intraclass correlation coefficients for reliability research","volume":"15","author":"Koo","year":"2016","journal-title":"J Chiropr Med."},{"key":"B37","doi-asserted-by":"publisher","first-page":"91","DOI":"10.1016\/j.tjem.2018.08.001","article-title":"User's guide to correlation coefficients","volume":"18","author":"Akoglu","year":"2018","journal-title":"Turk J Emerg Med."},{"key":"B38","doi-asserted-by":"publisher","first-page":"767","DOI":"10.1200\/JCO.2012.45.2722","article-title":"Cancer cachexia in the age of obesity: skeletal muscle depletion is a powerful prognostic factor, independent of body mass index","volume":"258","author":"Martin","year":"2013","journal-title":"J Clin Oncol."},{"key":"B39","doi-asserted-by":"publisher","DOI":"10.1148\/radiol.10100708","article-title":"Quantification of hepatic steatosis with T1-independent, T2*-corrected MR imaging with spectral modeling of fat: blinded comparison with MR spectroscopy","author":"Meisamy","year":"2011","journal-title":"Radiology"},{"key":"B40","doi-asserted-by":"publisher","first-page":"397","DOI":"10.1016\/j.mri.2015.12.038","article-title":"Intramuscular adipose tissue determined by T1-weighted MRI at 3 T primarily reflects extramyocellular lipids","volume":"34","author":"Akima","year":"2016","journal-title":"Magn Reson Imaging."},{"key":"B41","doi-asserted-by":"publisher","first-page":"640","DOI":"10.1148\/radiol.2021202912","article-title":"Linearity and bias of proton density fat fraction as a quantitative imaging biomarker: a multicenter, multiplatform, multivendor phantom study","volume":"298","author":"Hu","year":"2021","journal-title":"Radiology."},{"key":"B42","doi-asserted-by":"publisher","first-page":"465","DOI":"10.1148\/radiol.2015150908","article-title":"Quantitative shear-wave US elastography of the supraspinatus muscle: reliability of the method and relation to tendon integrity and muscle quality","volume":"278","author":"Rosskopf","year":"2016","journal-title":"Radiology."},{"key":"B43","doi-asserted-by":"publisher","first-page":"2906","DOI":"10.1016\/j.ultrasmedbio.2015.07.011","article-title":"Age-related differences in muscle shear moduli in the lower extremity","volume":"41","author":"Akagi","year":"2015","journal-title":"Ultrasound Med Biol."},{"key":"B44","doi-asserted-by":"publisher","first-page":"885","DOI":"10.1093\/ajcn\/71.4.885","article-title":"Thigh adipose tissue distribution is associated with insulin resistance in obesity and in type 2 diabetes mellitus","volume":"71","author":"Goodpaster","year":"2000","journal-title":"Am J Clin Nutr."},{"key":"B45","doi-asserted-by":"publisher","first-page":"104","DOI":"10.1152\/jappl.2000.89.1.104","article-title":"Skeletal muscle attenuation determined by computed tomography is associated with skeletal muscle lipid content","volume":"89","author":"Goodpaster","year":"2000","journal-title":"J Appl Physiol."},{"key":"B46","doi-asserted-by":"publisher","first-page":"11765","DOI":"10.1038\/s41598-020-68797-3","article-title":"Body composition analysis using CT and MRI: intra-individual intermodal comparison of muscle mass and myosteatosis","volume":"10","author":"Faron","year":"2020","journal-title":"Sci Rep."},{"key":"B47","doi-asserted-by":"publisher","first-page":"928","DOI":"10.1002\/jmri.22701","article-title":"Reproducibility of MRI-determined proton density fat fraction across two different MR scanner platforms","volume":"34","author":"Kang","year":"2011","journal-title":"J Magn Reson Imag"},{"key":"B48","doi-asserted-by":"publisher","first-page":"608","DOI":"10.1007\/s12603-018-1021-9","article-title":"Selenium concentrations and mortality among community-dwelling older adults: results from IlSIRENTE Study","volume":"22","author":"Giovannini","year":"2018","journal-title":"J Nutr Health Aging."},{"key":"B49","doi-asserted-by":"publisher","first-page":"388","DOI":"10.1152\/japplphysiol.00746.2021","article-title":"Skeletal muscle mitochondrial dysfunction and muscle and whole body functional deficits in cancer patients with weight loss","volume":"132","author":"Kunz","year":"2022","journal-title":"J Appl Physiol."}],"updated-by":[{"DOI":"10.3389\/fresc.2022.982949","type":"corrigendum","label":"Corrigendum","source":"publisher","updated":{"date-parts":[[2022,7,15]],"date-time":"2022-07-15T00:00:00Z","timestamp":1657843200000}}],"container-title":["Frontiers in Rehabilitation Sciences"],"original-title":[],"link":[{"URL":"https:\/\/www.frontiersin.org\/articles\/10.3389\/fresc.2022.896114\/full","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,7,15]],"date-time":"2022-07-15T04:21:37Z","timestamp":1657858897000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.frontiersin.org\/articles\/10.3389\/fresc.2022.896114\/full"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,5,30]]},"references-count":49,"alternative-id":["10.3389\/fresc.2022.896114"],"URL":"https:\/\/doi.org\/10.3389\/fresc.2022.896114","relation":{},"ISSN":["2673-6861"],"issn-type":[{"value":"2673-6861","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,5,30]]},"article-number":"896114"}}