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1 penia, and 14.4% vs. 8.4%, p = 0.002 for pre-sarcopenia).
2 [BMI] <20 kg/m(2)) or skeletal muscle mass (sarcopenia).
3 esis (inactivity), or an alteration in both (sarcopenia).
4 related decline in muscle mass and function (sarcopenia).
5 ift to a fibrogenic phenotype, and modulates sarcopenia.
6 dystrophy, Charcot-Marie-Tooth disease, and sarcopenia.
7 t culminate in poor outcomes associated with sarcopenia.
8 ting mTORC1 as a therapeutic target to treat sarcopenia.
9 d represent a novel therapeutic approach for sarcopenia.
10 nflammation was associated with at-diagnosis sarcopenia.
11 nd therapeutic options for the management of sarcopenia.
12 nt to avoid protein calorie malnutrition and sarcopenia.
13 al muscle and plays a key role in initiating sarcopenia.
14 s (T2DM) with the risk of sarcopenia and pre-sarcopenia.
15 d with increased risks of sarcopenia and pre-sarcopenia.
16 nctional decline with ageing, culminating in sarcopenia.
17 emic loss of muscle mass and function termed sarcopenia.
18 emerging as an effective countermeasure for sarcopenia.
19 adults is a risk factor for muscle loss and sarcopenia.
20 te was used to identify SNPs associated with sarcopenia.
21 f satellite cell activity is also a cause of sarcopenia.
22 with satellite cell senescence and premature sarcopenia.
23 ondrial disease, inflammatory myopathies and sarcopenia.
24 on to myofibre homeostasis to play a part in sarcopenia.
25 ogram and might therefore reduce the risk of sarcopenia.
26 uscle recovery may contribute to age-related sarcopenia.
27 ights into therapeutic targets for combating sarcopenia.
28 ect in muscle but instead leads to premature sarcopenia.
29 ge-induced loss of muscle mass and function, sarcopenia.
30 mic inflammation are all key contributors to sarcopenia.
31 sufficient to induce molecular signatures of sarcopenia.
32 cations for treating muscular dystrophies or sarcopenia.
33 and inflammation have potential for treating sarcopenia.
34 lated and most significantly correlated with sarcopenia.
35 s in available satellite cells and premature sarcopenia.
36 pment and testing of novel interventions for sarcopenia.
37 l muscle and has been recommended to prevent sarcopenia.
38 e useful for the prevention and treatment of sarcopenia.
39 ght therefore be useful for the treatment of sarcopenia.
40 atrophy, our findings have implications for sarcopenia.
41 a suitable therapeutic target for countering sarcopenia.
42 mass (WBLM) is a heritable trait predicting sarcopenia.
43 ics of WBLM and enhance our understanding of sarcopenia.
44 tions to prevent individuals from developing sarcopenia.
45 g aging and may therefore reduce the risk of sarcopenia.
46 orbidity had higher odds of low SMD, but not sarcopenia.
47 cell number and function and contributes to sarcopenia.
48 d to predict graft survival in patients with sarcopenia.
49 ia was significantly higher in patients with sarcopenia (62.6 +/- 17.7 versus 41.4 +/- 16.1 mug/dL, P
50 teatosis (62.5% versus 12.5%, P < 0.001) and sarcopenia (84% versus 31%, P < 0.001) were more frequen
53 pharmacological interventions available for sarcopenia, a progressive age-associated loss of muscle
54 ide an integrated molecular profile of human sarcopenia across ethnicities, demonstrating a fundament
57 ic pathways show potential benefit to combat sarcopenia although further research is required, partic
58 s of ACLF in the WL, while CysC >= 1.5 mg/L, sarcopenia and albumin were independent predictors of mo
66 ); predictive ability did not differ between sarcopenia and frailty prediction model, reflected by ch
70 -muscle divergence in the primary drivers of sarcopenia and identify the neuromuscular junction as a
76 idered a therapeutic approach for preventing sarcopenia and maintaining physical independence in olde
78 risk regression analysis, CysC >= 1.5 mg/L, sarcopenia and MELD-Na were independent predictors of AC
80 molecular changes that correlated best with sarcopenia and might contribute to its pathogenesis, we
86 were 20 deaths among the 59 patients who had sarcopenia and only 7 deaths in the nonsarcopenic group.
87 tic computed tomography (CT) scans to assess sarcopenia and osteopenia as indicators of underlying fr
88 Among the 408 who survived to discharge, sarcopenia and osteopenia were associated with higher ri
89 74 were retrospectively diagnosed with both sarcopenia and osteopenia, 167 with sarcopenia only, 48
97 e marrow cells into old recipients prevented sarcopenia and prevented age-related change in muscle fi
98 observed heterogeneity in the prevalence of sarcopenia and sarcopenic obesity in the 10/66 settings.
101 te cells neither accelerated nor exacerbated sarcopenia and that satellite cells did not contribute t
102 xercise is the only known strategy to combat sarcopenia and this is largely mediated through improvem
106 thy controls (14.8% vs. 11.2%, p = 0.035 for sarcopenia, and 14.4% vs. 8.4%, p = 0.002 for pre-sarcop
107 of cancer, cognitive decline, osteoporosis, sarcopenia, and affective disorders, are the world's big
110 stic systemic inflammation with at-diagnosis sarcopenia, and determine whether these factors interact
112 igher odds (OR: 6.19; 95% CI: 4.72, 8.11) of sarcopenia, and low SMD (OR: 17.81; 95% CI: 11.73, 27.03
116 d in related conditions, such as age-related sarcopenia, and supports the hypothesis that intrinsic c
117 xide disarrays, renal interstitial fibrosis, sarcopenia, and worsening proteinuria and kidney functio
125 nhibition of the mTORC1 pathway counteracted sarcopenia, as determined by observing an increase in mu
128 ed by ultrasound and the predictive value of sarcopenia at SICU admission for adverse outcome has not
129 as defined using the Asian Working Group for Sarcopenia (AWGS) criteria that include both muscle mass
131 key regulator of muscle fiber atrophy during sarcopenia but may play a key role in the decline of mit
133 ORC1 inhibition may delay the progression of sarcopenia by directly and indirectly modulating multipl
135 re compared with sex-specific thresholds for sarcopenia by using chi(2) tests and used to predict 2-y
136 equence of many primary conditions including sarcopenia, cachexia, osteoporosis, HIV/AIDS, and chroni
142 (SNPs) in FTO significantly associated with sarcopenia (combined p-values ranging from 5.92 x 10(-12
153 of skeletal muscle mass occurs during aging (sarcopenia), disease (cachexia), or inactivity (atrophy)
155 accumulation is postulated to play a role on sarcopenia during aging, which is believed to be due alt
157 ssociated with protein-energy wasting (PEW), sarcopenia, dynapenia, and other complications of CKD.
160 ociated with the %SMM and SMI definitions of sarcopenia; FTO rs9939609, ESR1 rs4870044, NOS3 rs179998
163 rising eGFR are potentially attributable to sarcopenia, hemodilution, and other indicators of clinic
168 was performed to determine the mechanisms of sarcopenia in alcoholic cirrhosis and potential reversal
170 as well as sarcomere disruption and striking sarcopenia in cardiac and skeletal muscle, a classical f
174 to form the North American Working Group on Sarcopenia in Liver Transplantation to use evidence from
177 ss Index (SMI) and European Working Group on Sarcopenia in Older People (EWGSOP) - were used to asses
182 nction, motor coordination and resistance to sarcopenia in rhesus monkeys have recently been reported
183 to study the prevalence and significance of sarcopenia in the multimodal management of locally advan
187 was significantly lower on those with higher sarcopenia index (-1 d for each 10 unit of sarcopenia in
188 r sarcopenia index (-1 d for each 10 unit of sarcopenia index [95% CI, -1.4 to -0.2; p = 0.006]).
192 rpose of this study was to describe a simple sarcopenia index using routinely available renal biomark
193 Evaluation III, body surface area, and age, sarcopenia index was independently predictive of both ho
210 ugh no consensus diagnosis has been reached, sarcopenia is increasingly defined by both loss of muscl
216 ted loss of muscle mass and function, termed sarcopenia, is a catastrophic process, which impacts sev
221 icle is to review the current definitions of sarcopenia, its potential causes and clinical consequenc
222 ronic mTOR inhibition is not associated with sarcopenia.Keywords: CT, MR-Imaging, Pediatrics(C) RSNA,
224 ween SMI and clinical response suggests that sarcopenia may be generally prognostic in this setting r
226 and imaging to assess muscle mass to detect sarcopenia, may provide insight into the likelihood of t
229 tionnaire (Groningen Frailty Indicator), and sarcopenia measurement (L3 muscle index) can accurately
230 ncreasing prevalence of obesity, obesity and sarcopenia occur simultaneously, a condition known as sa
233 ith both sarcopenia and osteopenia, 167 with sarcopenia only, 48 with osteopenia only, and 161 with n
236 M exhibited significantly increased risks of sarcopenia (OR = 1.37, 95% CI = 1.02-2.03) and pre-sarco
237 enia (OR = 1.37, 95% CI = 1.02-2.03) and pre-sarcopenia (OR = 1.73, 95% CI = 1.10-2.83) compared to n
239 is the relationship between low muscle mass (sarcopenia) or sarcopenic obesity and cancer prognosis?
254 re the differences between BMDs, obesity and sarcopenia related traits from different regional sites
256 ion patency (providing molecular evidence of sarcopenia-related functional denervation and neuromuscu
261 al muscle function, due to injury and aging (sarcopenia), results in a significantly decreased qualit
264 th physical activity, may delay the onset of sarcopenia, slow its progression, reduce the magnitude o
265 high Groningen Frailty Indicator score, and sarcopenia strongly predicted sepsis (P = 0.001; odds ra
266 2-/- muscles exhibited features of premature sarcopenia, such as selective type II fast fiber atrophy
267 f plasma inflammatory cytokines, anemia, and sarcopenia, suggesting that cancer-associated thrombosis
269 s and strength with ageing (a process termed sarcopenia) that increases the risk of functional depend
270 A key determinant of geriatric frailty is sarcopenia, the age-associated loss of skeletal muscle m
272 muscle mass, the optimal cut-off values for sarcopenia, the ideal timing and frequency of muscle mas
274 ar wasting conditions, including age-related sarcopenia, the mechanisms underlying cachexia remain po
275 mpare genome-wide transcriptional changes of sarcopenia versus age-matched controls in muscle biopsie
277 In a multivariate Cox regression model, sarcopenia was an independent predictor of higher mortal
294 (OR) with 95% confidence intervals (CI) for sarcopenia were higher for men 2.82 (2.22-3.57) and thos
296 type 2 diabetes, cardiovascular disease, and sarcopenia, which are strong risk factors of falls.
297 e-related muscle wasting and weakness termed sarcopenia, which directly impacts physical autonomy and
298 studies should evaluate whether recovery of sarcopenia with nutritional management in combination wi
299 cs of emphysema, venous vascular volume, and sarcopenia with the LV epicardial volume (LV(EV)) (myoca
300 as the progression of muscular dystrophy and sarcopenia, yet the mechanisms underlying the change in