FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2806331313> ?p ?o ?g. }

• W2806331313 endingPage "e0198089" @default.
• W2806331313 startingPage "e0198089" @default.
• W2806331313 abstract "Muscle wasting occurs during various chronic diseases and precedes death in humans as in mice. The evaluation of the degree of muscle atrophy in diseased mouse models is often overlooked since it requires the sacrifice of the animals for muscle examination or expensive instrumentation and highly qualified personnel, such as Magnetic Resonance Imaging (MRI). Very often behavioral tests for muscle strength evaluation are used as an outcome measurement in preclinical therapeutic trials. However, these tests are easy to perform serially, but not enough sensitive to detect early muscle changes during disease progression. Monitoring muscle loss in living animals could allow to perform more informative preclinical trials with a better evaluation of therapeutic benefit with respect to muscle wasting. We developed a non-invasive procedure based on micro-computed tomography (micro-CT) without contrast agents to monitor hind limb muscle wasting in mouse models of amyotrophic lateral sclerosis (ALS) and cancer cachexia: the transgenic SOD1G93A mouse and the colon adenocarcinoma C26-bearing mouse, respectively. We established the scanning procedure and the parameters to consider in the reconstructed images to calculate the Index of Muscle Mass (IMM). The coefficient of variance for the whole procedure was 2.2%. We performed longitudinally micro-CT scan of hind limbs in SOD1G93A mice at presymptomatic and symptomatic stages of the disease and calculated the IMM. We found that IMM in SOD1G93A mice was lower than age-matched controls even before symptom onset. We also detected a further decrease in IMM as disease progresses, most markedly just before disease onset. We performed the same analyses in the C26-based mouse model losing quickly body and muscle mass because of cancer cachexia. Overall, we found that the reduced muscle content detected by micro-CT mirrored the reduced muscle weight in both disease models. We developed a fast, precise and easy-to-conduct imaging procedure to monitor hind limb muscle mass, useful in therapeutic preclinical trials but also in proof-of-principle studies to identify the onset of muscle wasting. This method could be widely applied to other disease models characterized by muscle wasting, to assist drug development and search for early biomarkers of muscle atrophy. Moreover, reducing the number of mice needed for the experiments and being less distressing are in line with the 3R principle embodied in national and international directives for animal research." @default.
• W2806331313 created "2018-06-13" @default.
• W2806331313 creator A5025424147 @default.
• W2806331313 creator A5026115463 @default.
• W2806331313 creator A5043890990 @default.
• W2806331313 creator A5049819360 @default.
• W2806331313 creator A5052424293 @default.
• W2806331313 creator A5060876047 @default.
• W2806331313 creator A5090753291 @default.
• W2806331313 date "2018-05-29" @default.
• W2806331313 modified "2023-09-25" @default.
• W2806331313 title "Micro-computed tomography for non-invasive evaluation of muscle atrophy in mouse models of disease" @default.
• W2806331313 cites W1534582737 @default.
• W2806331313 cites W1539373078 @default.
• W2806331313 cites W1574948200 @default.
• W2806331313 cites W1828817591 @default.
• W2806331313 cites W1915809219 @default.
• W2806331313 cites W1968767714 @default.
• W2806331313 cites W1969963261 @default.
• W2806331313 cites W1987264999 @default.
• W2806331313 cites W1989580298 @default.
• W2806331313 cites W1993365657 @default.
• W2806331313 cites W2002215733 @default.
• W2806331313 cites W2006440723 @default.
• W2806331313 cites W2011268646 @default.
• W2806331313 cites W2014739853 @default.
• W2806331313 cites W2016366890 @default.
• W2806331313 cites W2019218018 @default.
• W2806331313 cites W2020950228 @default.
• W2806331313 cites W2021615692 @default.
• W2806331313 cites W2028405388 @default.
• W2806331313 cites W2038013283 @default.
• W2806331313 cites W2040826906 @default.
• W2806331313 cites W2040880675 @default.
• W2806331313 cites W2040891140 @default.
• W2806331313 cites W2050404989 @default.
• W2806331313 cites W2066116743 @default.
• W2806331313 cites W2069742282 @default.
• W2806331313 cites W2070720564 @default.
• W2806331313 cites W2075731468 @default.
• W2806331313 cites W2080732549 @default.
• W2806331313 cites W2084860871 @default.
• W2806331313 cites W2092361675 @default.
• W2806331313 cites W2093298208 @default.
• W2806331313 cites W2096386031 @default.
• W2806331313 cites W2103014404 @default.
• W2806331313 cites W2107768418 @default.
• W2806331313 cites W2111401548 @default.
• W2806331313 cites W2112751298 @default.
• W2806331313 cites W2127424726 @default.
• W2806331313 cites W2135826900 @default.
• W2806331313 cites W2139343303 @default.
• W2806331313 cites W2141645735 @default.
• W2806331313 cites W2145280166 @default.
• W2806331313 cites W2148428406 @default.
• W2806331313 cites W2151283204 @default.
• W2806331313 cites W2164665289 @default.
• W2806331313 cites W2171418530 @default.
• W2806331313 cites W2259223733 @default.
• W2806331313 cites W2309749151 @default.
• W2806331313 cites W2401027603 @default.
• W2806331313 cites W2520489804 @default.
• W2806331313 cites W2528096562 @default.
• W2806331313 cites W2530725881 @default.
• W2806331313 cites W2557277725 @default.
• W2806331313 cites W2573888447 @default.
• W2806331313 cites W2600470683 @default.
• W2806331313 cites W2611192109 @default.
• W2806331313 cites W29694633 @default.
• W2806331313 cites W4236884331 @default.
• W2806331313 cites W4253140965 @default.
• W2806331313 doi "https://doi.org/10.1371/journal.pone.0198089" @default.
• W2806331313 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/5973599" @default.
• W2806331313 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/29813127" @default.
• W2806331313 hasPublicationYear "2018" @default.
• W2806331313 type Work @default.
• W2806331313 sameAs 2806331313 @default.
• W2806331313 citedByCount "13" @default.
• W2806331313 countsByYear W28063313132019 @default.
• W2806331313 countsByYear W28063313132020 @default.
• W2806331313 countsByYear W28063313132021 @default.
• W2806331313 countsByYear W28063313132023 @default.
• W2806331313 crossrefType "journal-article" @default.
• W2806331313 hasAuthorship W2806331313A5025424147 @default.
• W2806331313 hasAuthorship W2806331313A5026115463 @default.
• W2806331313 hasAuthorship W2806331313A5043890990 @default.
• W2806331313 hasAuthorship W2806331313A5049819360 @default.
• W2806331313 hasAuthorship W2806331313A5052424293 @default.
• W2806331313 hasAuthorship W2806331313A5060876047 @default.
• W2806331313 hasAuthorship W2806331313A5090753291 @default.
• W2806331313 hasBestOaLocation W28063313131 @default.
• W2806331313 hasConcept C105702510 @default.
• W2806331313 hasConcept C121608353 @default.
• W2806331313 hasConcept C126322002 @default.
• W2806331313 hasConcept C126838900 @default.
• W2806331313 hasConcept C142724271 @default.
• W2806331313 hasConcept C143409427 @default.
• W2806331313 hasConcept C2776214593 @default.

• next