ライフサイエンスコーパス: lean mass

1 ve evidence that FTO gene is associated with lean mass.

2 e as a result of their greater reductions in lean mass.

3 ergy expenditure while increasing peripheral lean mass.

4 n both groups, but only the RT+CR group lost lean mass.

5 PAEE was associated with higher appendicular lean mass.

6 fat mass, and the latter was associated with lean mass.

7 expressed in the offspring, which influences lean mass.

8 e to decreased fat mass, without a change in lean mass.

9 creased energy expenditure despite decreased lean mass.

10 tment for age, sex, race, comorbidities, and lean mass.

11 sibly attributable to decreased appendicular lean mass.

12 -I87N mice is due to a reduced proportion of lean mass.

13 total, visceral, or hepatic fat or preserve lean mass.

14 s not associated with offspring adiposity or lean mass.

15 l adipose mass (P = 0.0187) without altering lean mass.

16 one mineral density, body fat mass (FM), and lean mass.

17 asurement of total and regional body fat and lean mass.

18 asurement of total and regional body fat and lean mass.

19 w-up (P < 0.001), but there was no effect on lean mass.

20 of BMI to differentiate between body fat and lean mass.

21 ystatin C, a measure that does not depend on lean mass.

22 e closely associated with fat mass than with lean mass.

23 d by obesity and relatively low appendicular lean mass.

24 related increases in height, maturation, and lean mass.

25 o investigate the origins of South Asian low lean mass.

26 = 2,003), South Asian skeletons indicate low lean mass.

27 T3 or AAT3 decreases adiposity and increases lean mass.

28 ts revealed increased fat mass and decreased lean mass.

29 F%, suggesting association with both fat and lean mass.

30 ntrations (THg) in relation to reductions in lean mass.

31 ue to a greater increase in fat mass than in lean mass (0.45 kg and 0.17 kg/birth year, respectively)

32 ody fat mass (-6.9 +/- 0.5 kg), appendicular lean mass (-0.7 +/- 0.1 kg), and appendicular fat mass (

33 011] SDS per allele; P = .009) and postnatal lean mass (1 year: beta [SE], 0.038 [0.014] SDS per alle

34 .29 +/- 0.001, P = 0.03), because of greater lean mass (1.44 +/- 0.09 versus 1.15 +/- 0.002, P = 0.00

35 abdominal fat (25.8%), trunk fat (18%), and lean mass (1.8%) were apparent (P < .001 for changes wit

36 es mean +/- SE: -7.9 +/- 0.6 kg), whole-body lean mass (-1.0 +/- 0.2 kg), whole-body fat mass (-6.9 +

37 in which the knockout females showed reduced lean mass (-12%), reduced total oxygen consumption rate

38 ch indicated greater fat mass accretion than lean mass accretion (P < 0.001).

39 cited greater gains in VO2max and stimulated lean mass accretion but did not improve skeletal muscle

40 t similarly, showed no differences in fat or lean mass accumulation, and displayed no changes in ener

41 ols 1.83 cm, 0.8 to 2.8, p<0.0001), and less lean mass (adjusted difference vs community controls -24

42 ercentage extremity fat, and lower extremity lean mass (adjusted for weight) are related to the hypog

43 was associated with significant deficits in lean mass after adjustment for height, age, race, and Ta

44 Participants lost more fat than lean mass after consumption of all diets, with no differ

45 ght loss, fat mass loss, and preservation of lean mass after higher-protein energy-restriction diets

46 aintained muscle quality (peak torque/kg leg lean mass) after 14 d of bed-rest inactivity (CON compar

47 strongly associated with BMI, fat mass, and lean mass (all p-values<0.001) and with childhood asthma

48 take with 3- and 6-y changes in appendicular lean mass (aLM) and gait speed and also 6-y incidence of

49 evaluated the relation between appendicular lean mass (ALM) and relative leukocyte telomere length (

50 ide association study (GWAS) on appendicular lean mass (ALM) in a population of 85,750 middle-aged (a

51 ietary pattern techniques) with appendicular lean mass (ALM), quadriceps strength (QS), and bone mine

52 ndex (BMI), total fat mass, and appendicular lean mass (aLM)] and C-reactive protein (CRP), interleuk

53 including lean body mass [LBM], appendicular lean mass [ALM], and fat mass); objective physical funct

54 Appendicular lean mass also decreased in RDA compared with 2RDA (P =

55 to the previously observed association with lean mass, an even distribution of daily protein intake

56 blood lactate concentration (lactate time), lean mass, anaerobic and aerobic capacities) and IPAQ sc

57 change was due to an accelerated decrease in lean mass and an initial increase and a later decrease i

58 erform bivariate GWAS analyses of total body lean mass and bone mass density in children, and show ge

59 girls (P < 0.001) after correction for total lean mass and energy intake (which explained 5% of the v

60 ociations of tCys and tHcy with fat mass and lean mass and examined whether changes in these aminothi

61 ic metabolic capacity, and childhood height, lean mass and fat mass as independent indices of metabol

62 en weight loss or weight gain and changes in lean mass and fat mass in older adults.

63 m litters exposed to 0.8 ppm ozone had lower lean mass and fat mass than pooled control offspring.

64 Lean mass and fat mass were estimated from bioelectric i

65 Whole-body and appendicular bone-free lean mass and fat mass were measured by using dual-energ

66 Adjusting for height, lean mass and fat mass, the association of systolic BP a

67 d positively associated with each of height, lean mass and fat mass.

68 To identify associations between lean mass and FTO gene, we performed a genome-wide assoc

69 f PRT proved safe and effective in restoring lean mass and function in patients with RA.

70 milar to that of controls but an increase in lean mass and glycolytic muscle fibers and reduced fat m

71 GTx-026 significantly increased body weight, lean mass and grip strength by 60-80% over vehicle-treat

72 denosumab over 3 years improved appendicular lean mass and handgrip strength compared to no treatment

73 protein intake may contribute to programming lean mass and IGF-I around the time of puberty in boys,

74 g, positively predicted percentage extremity lean mass and inversely predicted percentage trunk fat a

75 The participants had substantially greater lean mass and leg strength gains when PS and RET were us

76 fat) and skeletal muscle (low percentage of lean mass and low cardiorespiratory fitness) are likely

77 Our findings show LY treatment increases lean mass and might improve functional measures of muscl

78 In mdx mice SR8278 increased lean mass and muscle function, and decreased muscle fibr

79 timulated appetite and weight gain, improved lean mass and muscle function, reduced energy expenditur

80 hey gained less body weight, with sparing of lean mass and preferential reduction of body fat, consis

81 improved in response to GHRH, with increased lean mass and reduced truncal and visceral fat.

82 itiating ART with TDF/FTC, no differences in lean mass and regional fat were found with RAL when comp

83 tput, whole body weight and composition, leg lean mass and skeletal muscle fibre area all remained un

84 We analysed proxies for lean mass and stature among South Asian skeletons spanni

85 We found that leg lean mass and strength decreased in older but not younge

86 tation restored bed rest-induced deficits in lean mass and strength in older adults.

87 de increased facial and body hair, increased lean mass and strength, decreased fat mass, deepening of

88 owever, the difference between the change in lean mass and that in fat mass was more pronounced with

89 Lean mass and thigh-muscle area decreased in men receivi

90 training program improved body composition (lean mass and total body skeletal muscle mass), weight,

91 Current lean mass and weight-bearing physical activity were more

92 On the other hand, current lean mass and weight-bearing physical activity were posi

93 on is reported to increase adiposity, reduce lean mass and white adipose tissue inflammation, and inc

94 dy-mass index, waist circumference, fat, and lean mass), and cardiometabolic risk factors (blood pres

95 l data, and associations with BMI, fat mass, lean mass, and asthma were estimated.

96 orticoid therapy leads to obesity, decreased lean mass, and distorted distributions of fat and lean.

97 th age, namely, to produce less fat and more lean mass, and enhances insulin sensitivity and energy e

98 ive interventions reduced total body weight, lean mass, and fat mass and increased daily urinary cort

99 ly blocked and reversed loss of body weight, lean mass, and fat mass in juvenile SIV-infected rhesus

100 ive mating for age, weight, body mass index, lean mass, and fat mass.

101 apacity, left ventricular ejection fraction, lean mass, and heart rate variability (all p < 0.05 vs.

102 epatic triglyceride content, preservation of lean mass, and improved insulin signal transduction via

103 tHcy was not associated with lean mass, and it became significantly inversely associa

104 reduced body weight, body length, fat mass, lean mass, and leptin levels.

105 duction was due to decreases in both fat and lean mass, and modest but significant body weight reduct

106 mone agonists decrease bone mineral density, lean mass, and muscle size and increase fat mass in men

107 orotic fractures in relation to body weight, lean mass, and other confounders.

108 S) for weight, length/height, BMI, fat mass, lean mass, and percentage of body fat at birth as well a

109 ht(2), percentage of fat mass, percentage of lean mass, and the lean mass:fat mass ratio.

110 r implantation prevents anorexia and loss of lean mass, and their inhibition after symptom onset reve

111 e independent contributions of adiposity and lean mass are not fully defined.

112 Monitoring and preservation of BMI and lean mass are vital, especially in those with the identi

113 weight losers and weight gainers, changes in lean mass as a percentage of initial lean mass were subs

114 n in adipose tissue weight with no change in lean mass, assessed by magnetic resonance imaging.

115 position, with increasing fat and decreasing lean mass associated with higher HAQ scores.

116 rate and movement monitoring), with fat and lean mass at ages 60-64 years in 1,162 British participa

117 It was not associated with lean mass at any of the ages studied.

118 man plot showed that the differences in mean lean masses between the studied technique and the refere

119 bA1c, weight, waist circumference, fat mass, lean mass, blood pressure, and triglyceride levels, decr

120 (in kg/m(2))]) and body composition (fat and lean mass, body fat percentage) between predominantly br

121 an +/- SD percentage body fat, fat mass, and lean mass (bone-free) were 28 +/- 5%, 24 +/- 7 kg, and 5

122 Body composition, including fat mass, lean mass, bone mineral content, and bone mineral densit

123 gth, waist circumference, total tissue mass, lean mass, bone mineral content, or bone mineral density

124 of weight, the ability to separately examine lean mass, bone, and fat should shed light on the underl

125 iotropic effects on bone mineral density and lean mass.Bone mineral density and lean skeletal mass ar

126 0.3 kg (12.4%) fat and 2.1 +/- 0.3 kg (3.5%) lean mass (both P < 0.0001 compared with baseline values

127 h the more common James formulation for body lean mass breaks down and shows low SUL values in very o

128 flecting primarily a substantial decrease in lean mass but not fat mass.

129 g adults with CD had significant deficits in lean mass but preserved fat mass, which is consistent wi

130 both DEXA-derived lean and fat mass, greater lean mass, but not fat mass, was associated with low BNP

131 Weight loss reduces body fat and lean mass, but whether these changes are influenced by m

132 THg increased 0.4 ppm for each gram of lean mass catabolized in the higher dose birds.

133 accounted for by decreased fat mass but not lean mass, compared to sham-operated mice on the high fa

134 normalized weight gain, and improved fat and lean mass content in CKD mice.

135 Lean mass decreased less in the combination and resistan

136 ray absorptiometry (DXA) derived measures of lean mass demonstrate strong associations with magnetic

137 Appendicular fat and lean mass demonstrated the strongest association per kil

138 Formula-fed infants gained more lean mass (difference: 303 g; 95% CI: 137, 469 g) than b

139 e and body weight and preserved fat mass and lean mass during cachexia and LPS-induced anorexia.

140 Birds lost 6-16% of their lean mass during the fast, and THg increased an average

141 ith weight (EA: P = 0.008; AA: P = 0.05) and lean mass (EA: P= 0.003; AA: P = 0.03).

142 ty was defined as >= 3 of the following: low lean mass, exhaustion, low energy expenditure, walking l

143 Regression models including age and lean mass explained the most variation in bone mineral d

144 Measures of body composition (lean mass, fat mass) were estimated from bioelectric imp

145 decreased food intake, leading to decreased lean mass, fat mass, and body weight.

146 amount of testosterone required to maintain lean mass, fat mass, strength, and sexual function varie

147 For women, a one-unit gain in lean mass:fat mass ratio reduced the report of limitatio

148 f fat mass, percentage of lean mass, and the lean mass:fat mass ratio.

149 ablished early in the disablement process by lean mass:fat mass ratio.

150 ipose tissue inflammation and have increased lean mass, femoral length, and bone volume.

151 ded body weight, body composition of fat and lean mass, food consumption, body length, and blood leve

152 Analyses were adjusted for age, log fat and lean mass, food preferences, and intake during a buffet

153 ge, advanced maturation for age, and greater lean mass for height (all P < 0.001).

154 ss-for-height was positively correlated with lean mass-for height (r = 0.41, P < 0.0001); this associ

155 The mean (+/-SD) lean mass-for-height and fat mass-for-height z scores in

156 Mean total lean mass-for-height was 0.43 SD (95% CI: 0.15, 0.72) hi

157 CI: 0.15, 0.72) higher and mean appendicular lean mass-for-total-lean-mass was lower (-0.39 SD; 95% C

158 mostly accounted for by an increase in trunk lean mass found in 2RDA (+1.39 +/- 1.09 kg, P < 0.001).

159 ials (RCTs) reporting the efficacy of PS for lean mass gain, strength gain, and physical mobility imp

160 Our results indicate that low lean mass has characterised South Asians since at least

161 rgy X-ray absorptiometry (DXA) fat mass, DXA lean mass, height z score, and IGF-I concentration.

162 lly significant relations were shown between lean mass/height(2) and risk of death in crude but not a

163 nce, waist-to-hip ratio, fat mass/height(2), lean mass/height(2), percentage of fat mass, percentage

164 d metabolism were concomitant with a loss of lean mass, hypermetabolism, hepatic steatosis, dyslipide

165 d white fat mass and adipocyte size, reduced lean mass, impaired hypoglycemia-induced glucagon secret

166 -ray absorptiometry measurements of neonatal lean mass in 102 Southampton Women's Survey (SWS) infant

167 Fat and lean mass in AN boys was 69% and 86% of that in control

168 in lower body weight and fat mass and higher lean mass in animals and adult humans.

169 height, IGF-I, and measures of adiposity and lean mass in mid-childhood (median 7.7 y) and early adol

170 scriptional response to exercise and reduced lean mass in OLD men.

171 t affect lower-extremity power, strength, or lean mass in older community-dwelling adults.

172 The 96-week percentage changes in fat and lean mass in the 2 PI arms were not different, thus the

173 t and age leads to bigger body size and less lean mass in the elderly.

174 rol group, the CRC group also showed reduced lean mass in the legs and higher levels of the endotheli

175 Oxandrolone improves protein net balance and lean mass in the severely burned.

176 mass is regained to a greater degree than is lean mass in those who do experience some weight regain.

177 mass (in women only) and higher appendicular lean mass (in both sexes, after adjustment for fat mass)

178 Changes in body composition (fat and lean mass) in both groups were very similar (P = .85 and

179 Stature-adjusted lean mass increased significantly over time in South Asi

180 out mice, Mc3r(TB/TB) mice displayed reduced lean mass, increased fat mass, and accelerated diet-indu

181 atchup growth of SGA infants was confined to lean mass, independently of nutrition.

182 score (0.12 higher; 95% CI: 0.01, 0.23), DXA lean mass index (1.34% higher; 95% CI: -0.07%, 2.78%), a

183 Our goal was to determine the impact of lean mass index (LMI) and body fat (BF) on survival in p

184 gene-based genome-wide association study of lean mass index (LMI) in 1000 unrelated Caucasian subjec

185 ed a genome-wide association study (GWAS) of lean mass index (LMI) in 2207 unrelated Caucasian subjec

186 The fat mass index (FMI) and lean mass index (LMI) were surrogates of adiposity and s

187 ht and expressed as fat mass index (FMI) and lean mass index (LMI), respectively.

188 ndex (FMI, adipose tissue (kg)/height (m)2), lean mass index (LMI, lean tissue (kg)/height (m)2), and

189 No lean mass indicator was associated with risk of death.

190 l performance and overall functioning, while lean mass is less significant in absolute terms but is i

191 With a similar amount of total weight loss, lean mass is preserved, but there is not a preferential

192 Body weight, body fat and lean mass, liver steatosis, glucose tolerance and pancre

193 ual X-ray absorptiometry and examined as leg lean mass (LLM), ALM, and the ratio of ALM to body mass

194 Weight, height, and BC [fat mass (FM) and lean mass (LM) by DXA] were measured (n = 118).

195 lt translates into long-term preservation of lean mass (LM) in older adults remains unknown.

196 hn's disease (CD) is associated with growth, lean mass (LM), and fat mass (FM) deficits.

197 Changes in fat mass (FM), lean mass (LM), and percentage body fat between the inte

198 s and longitudinal changes in fat mass (FM), lean mass (LM), and waist circumference (WC) to the risk

199 fects on physical function, muscle strength, lean mass (LM), fat mass (FM), bone mineral content (BMC

200 e-induced improvements in total body and leg lean mass (LM), muscle strength, and executive function

201 ch may contribute to the age-related loss of lean mass (LM).

202 Race- and sex-specific Z scores for lean mass (LM-ht-Z) and fat mass (FM-ht-Z) relative to h

203 body (4.8% and 4.1%) and total appendicular lean mass (LM; 3.0% and 2.1%) compared to AA genotype, w

204 position, particularly the amount of fat and lean mass located in the arms and legs, is strongly asso

205 teraction, P < 0.05), and reduced whole-body lean mass loss after 7 d (CON compared with LEU: -1.5 +/

206 ls, weight loss was strongly associated with lean mass loss in both men and women, especially in men

207 ow no particular differences in fat loss and lean mass maintenance.

208 -0.9 to 0.9, p = 0.96) and body composition (lean mass mean difference -0.1 kg, 95% CI -1.9 to 1.6 kg

209 Lean mass, MPS, LPB and strength were not different but

210 Changes in lean mass, muscle size, and muscle strength were similar

211 drogen deficiency accounted for decreases in lean mass, muscle size, and strength; estrogen deficienc

212 tion recipients, exercise is able to improve lean mass, muscle strength, and, as a consequence, aerob

213 e (grams per day) and BMD, ALM, appendicular lean mass normalized for height (ALM/ht(2)), and QS (200

214 After adjustment for maturation and lean mass, obesity was associated with significantly gre

215 The increased lean mass of MPSI and MPSIIIB mice suggests a shift in a

216 Differences in trunk and limb lean mass of white and AA children may explain some of t

217 by the average SUL (i.e., SUV normalized for lean mass) of the tumor (SUL(average)).

218 d causal RRs for the effects of fat mass and lean mass on asthma were 1.41 (95% CI 1.11-1.79) per 0.5

219 stigate causal effects of BMI, fat mass, and lean mass on current asthma at age 7(1/2) y in the Avon

220 e joint associations of appendicular fat and lean mass on HAQ were additive without significant inter

221 ology led to elevated fat mass and decreased lean mass on low-fat diet (LFD), accompanied by leptin r

222 lin sensitizing effects without compromising lean mass or affecting food intake.

223 ever, appear to be associated with lower leg lean mass or strength.

224 s associated with higher measures of fat and lean mass (P < .001) after adjustment for alcohol consum

225 an others to have low BMI (P = .004) and low lean mass (P < .001) post-HSCT.

226 +/- 2.1 versus 1.9 +/- 0.3 g; P < 0.001) and lean mass (P < 0.001) than pair-fed mice at 22 degrees C

227 nts had higher body fat (P = .002) and lower lean mass (P = .013) z scores than male patients, and bl

228 g lower weight (P = 0.03) and a 0.85-g lower lean mass (P = 0.01).

229 runk adipose mass (P = 0.0422) and increased lean mass (P = 0.0432).

230 versus the highest quartile of appendicular lean mass (P<0.001).

231 was associated with disproportionate loss of lean mass, particularly among men.

232 R signaling was not sufficient to rescue the lean mass phenotype or the regulation of behaviors antic

233 ther differences aligned with divergences in lean mass, protein turnover, insulin sensitivity and the

234 es were attributable to greater accretion of lean mass, rather than fat mass.

235 emale Tsc1 (tg) mice exhibit a higher fat to lean mass ratio at advanced ages than age-matched wild t

236 F-fed mice were equally obese and maintained lean mass regardless of genotype.

237 count for rising obesity, the origins of low lean mass remain unclear.

238 tayed within population norms, but those for lean mass remained below normal levels and diminished si

239 ed hypertrophy) when exercise was ceased and lean mass returned to baseline (pre-training) levels, id

240 Americans, whereas body fat distribution and lean mass showed stronger correlations with SIClamp in A

241 h 20.4 +/- 0.2%); lower percent appendicular lean mass (skeletal muscle) and bone mineral content; an

242 e/floxed littermates, with no differences in lean mass, skeletal muscle structure, fiber type, respir

243 an BMI >/=30 exhibited substantially greater lean mass (SMD: 0.53; 95% CI: 0.19, 0.87) and leg streng

244 tent with muscle deconditioning, whereas leg lean mass, strength, and work done during maximal exerci

245 riable models modified the effect of BMI and lean mass, such that measures of body composition were n

246 a bivariate GWAS meta-analysis of total-body lean mass (TB-LM) and total-body less head bone mineral

247 The CR-only group lost relatively more lean mass than did either exercise group (P < 0.05).

248 m age to 6-mo corrected age (CA) gained more lean mass than did those fed term formula (TF).

249 With weight change, a greater proportion of lean mass than of fat mass was conserved, but, especiall

250 d NT-proBNP are more closely associated with lean mass than with fat mass.

251 vantages to using DXA for the measurement of lean mass, the inability to accurately detect changes ov

252 A higher lean mass-to-fat mass ratio, a relative measure of body

253 ent x time P >= 0.60), nor did the change in lean mass (treatment x time P >= 0.89).

254 the accuracy of DXA at detecting changes in lean mass, using MRI-derived MV as a reference standard.

255 ait whereas genetic variants contributing to lean mass variation remain largely unknown.

256 and MBD3 genes was a novel locus underlying lean mass variation.

257 on BMI, but was confounded by differences in lean mass versus fat mass when modeled on weight.

258 n-exposed neonates were lighter with reduced lean mass versus insulin- or glyburide-exposed groups, i

259 Leg lean mass (via dual-energy X-ray absorptiometry; DXA) an

260 Loss of appendicular lean mass was also greater with HF (-419.9 versus -318.2

261 DXA thigh lean mass was compared to MRI mid-thigh MV, and percent

262 Adjusted appendicular lean mass was decreased among the lowest ALT deciles.

263 Lean mass was estimated by dual X-ray absorptiometry and

264 ihood of functional limitation, while higher lean mass was generally associated only with increased g

265 ergy expenditure adjusted for body weight or lean mass was increased (P < .05) in male, but not femal

266 Lean mass was inversely associated with SIClamp in Afric

267 especially in older men, significantly more lean mass was lost with weight loss than was gained with

268 More fat than lean mass was lost with weight loss, which resulted in b

269 The association between tHcy and lean mass was not significant.

270 Lean mass was positively associated with both the energy

271 Wasting of fat but not of lean mass was predictive of adverse outcome, suggesting

272 er and mean appendicular lean mass-for-total-lean-mass was lower (-0.39 SD; 95% CI: -0.64, -0.14) in

273 sulted in abnormal substrate utilization and lean mass wasting.

274 Whole body lean mass (WBLM) is a heritable trait predicting sarcope

275 omen with HF, loss of total and appendicular lean mass were also greater than in non-HF participants

276 Fat and lean mass were assessed by dual-energy X-ray absorptiome

277 Changes in LBM and regional lean mass were associated with changes in objective func

278 BMD, fat mass and lean mass were collected from Dual-energy X-ray absorpti

279 at, extremity fat, trunk lean, and extremity lean mass were divided by height squared and used to cat

280 Percentage extremity fat and extremity lean mass were lower in boys with AN (P = 0.003 and 0.00

281 ere measured by MRI; leg fat, total fat, and lean mass were measured by DXA.

282 of intervention, whole-body and appendicular lean mass were measured by using dual-energy X-ray absor

283 Fat mass and lean mass were measured using dual-energy-x-ray absorpti

284 Peripheral and central fat depots and lean mass were measured using standardized and centrally

285 DXA measures of change in lean mass were modestly associated with MRI measures of

286 Fat and lean mass were not independently associated with vitamin

287 Trunk and extremity lean mass were not independently related to increased AL

288 Gains in lean mass were significantly greater in the ActRIIB.Fc g

289 nges in lean mass as a percentage of initial lean mass were substantially smaller than changes in fat

290 Changes in the percentage of body fat and in lean mass were the primary outcomes.

291 Fat and lean masses were assessed by dual-energy X-ray absorptio

292 Body fat and lean masses were measured by using dual-energy X-ray abs

293 real bone mineral density (BMD), and fat and lean masses were measured.

294 0.2 kg) (P < 0.05), but increases in fat and lean masses were not significant.

295 body composition (percentage fat, total fat, lean mass) were measured by dual-energy X-ray absorptiom

296 d that activin A primarily triggered loss of lean mass, whereas IL6 was a major mediator of fat loss.

297 Weight loss may contribute to the loss of lean mass with age.

298 The associations of measures of fat and lean mass with disability, measured with the Health Asse

299 of absolute and relative measures of fat and lean mass with physical performance and self-reported fu

300 e of post-HSCT BMI (P < .001) and of fat and lean mass z scores (both P < .001).