ライフサイエンスコーパス: abdominal fat

1 raction [PDFF] and subcutaneous and visceral abdominal fat).

2 dback response by NPY leads to the growth of abdominal fat.

3 in a glucocorticoid-dependent manner in the abdominal fat.

4 ght gain can be assumed to be fat, including abdominal fat.

5 ng glucose, glycated hemoglobin, or visceral abdominal fat.

6 eous fat area (r = 0.760) but not with intra-abdominal fat.

7 Exercise training also reduces total and abdominal fat.

8 rweight, nor the detrimental effect of intra-abdominal fat.

9 ree fatty acid kinetics, and increased intra-abdominal fat.

10 retion of insulin, and 3) increases in intra-abdominal fat.

11 ntal in the accumulation of intrahepatic and abdominal fat.

12 djustment, whereas the opposite was seen for abdominal fat.

13 in a glucocorticoid-dependent manner in the abdominal fat.

14 Participants lost 2.3 +/- 0.2 kg (13.8%) abdominal fat: 1.5 +/- 0.2 kg (13.6%) subcutaneous fat a

15 [pmol/l]), P < 0.01) was decreased and intra-abdominal fat (117 +/- 10 vs. 81 +/- 9 cm(2), P < 0.05)

16 t (13.4%), subcutaneous (19.9%) and visceral abdominal fat (25.8%), trunk fat (18%), and lean mass (1

17 5% CI, -17.8 to 0.9 g/cm2), and subcutaneous abdominal fat (-28.8 g/cm2); 95% CI, -47.5 to -10.0 g/cm

18 GLUT4 mRNA and protein (30-52%) and reduced abdominal fat (5%) and plasma triglycerides (25%).

19 y fat (-1.0%; 95% CI, -1.6% to -0.4%), intra-abdominal fat (-8.6 g/cm2; 95% CI, -17.8 to 0.9 g/cm2),

20 Abdominal fat accumulation (visceral/hepatic) has been a

21 mia (Cushing's syndrome) is characterised by abdominal fat accumulation and gluteofemoral fat loss.

22 In HIV-associated abdominal fat accumulation and relative GH deficiency, l

23 iral-treated HIV-infected men and women with abdominal fat accumulation at Massachusetts General Hosp

24 ar diseases; recent findings have shown that abdominal fat accumulation can be an independent predict

25 We investigated the changes in abdominal fat accumulation that accompanied the change i

26 ion of kynurenine metabolism associated with abdominal fat accumulation to be a potential source of i

27 d studies, men and women with HIV-associated abdominal fat accumulation were randomly assigned (ratio

28 bo-controlled trial of 56 patients with HIV, abdominal fat accumulation, and reduced GH secretion (pe

29 t the diabetic rats develop liver steatosis, abdominal fat accumulation, nephropathy, atrophy of panc

30 liminary study of HIV-infected patients with abdominal fat accumulation, tesamorelin administered for

31 Gluteo-femoral, in contrast to abdominal, fat accumulation appears protective against d

32 from veins draining subcutaneous femoral and abdominal fat and compared with arterialized blood sampl

33 ved from lipolysis of intrahepatic and intra-abdominal fat and de novo lipogenesis.

34 ssociations of infant feeding practices with abdominal fat and hepatic fat trajectories in childhood.

35 y contribute to the abnormal distribution of abdominal fat and hepatic steatosis, as well as to insul

36 robic exercise intensity affects the loss of abdominal fat and improvement in cardiovascular disease

37 d similar leptin levels, whereas their intra-abdominal fat and insulin sensitivity remained different

38 h AE and RE alone are effective for reducing abdominal fat and intrahepatic lipid in obese adolescent

39 od for quantifying subcutaneous and visceral abdominal fat and its distribution in preadolescents and

40 alpha-MSH decreased intra-abdominal fat and markedly enhanced the actions of insul

41 The correlation between abdominal fat and metabolic dysfunction has since been v

42 ificantly related to changes in body weight, abdominal fat and metabolic measures associated with imp

43 Bone mineral density and abdominal fat and paraspinal muscle areas were quantifie

44 s of predominately white ethnicity had intra-abdominal fat and subcutaneous fat areas measured as par

45 nventional anthropometric indices with intra-abdominal fat and subcutaneous fat areas measured by mag

46 Intra-abdominal fat and subcutaneous fat areas were quantified

47 expressed in lipogenic tissue (i.e., liver, abdominal fat and the mammary gland).

48 Subcutaneous abdominal fat and waist to hip ratio decreased significa

49 FRDA patients had increased abdominal fat and were insulin resistant.

50 n of symptoms was associated with changes in abdominal fat and whether such changes were associated w

51 tion and sex-specific thresholds for muscle, abdominal fat, and abdominal aortic calcium measures at

52 s, low sexual desire, bone loss, increase in abdominal fat, and adverse changes in metabolic health.

53 Porcine MSCs were cultured from abdominal fat, and EVs characterized for expression of t

54 icantly reduced body-weight gain, diminished abdominal fat, and increased nonalcoholic steatohepatiti

55 Absolute measures (total fat, abdominal fat, and lean body mass) were secondary outcom

56 This study examines ASE in breast muscle, abdominal fat, and liver of commercial broiler chickens

57 th highest levels in mesenteric lymph nodes, abdominal fat, and ovaries.

58 algorithms that quantifies skeletal muscle, abdominal fat, aortic calcification, bone density, and s

59 e association between birth weight and adult abdominal fat appeared to be specific to visceral fat.

60 DXA measures of abdominal fat are suitable for use in Indian populations

61 atios of hypertension for quartiles of intra-abdominal fat area (1 = lowest; 4 = highest) were 5.07 (

62 The abdominal fat area (AFA) and subcutaneous fat thickness

63 Intra-abdominal fat area (IAFA) was associated with a higher p

64 Both baseline intra-abdominal fat area (P = 0.002) and HOMA-IR (P < 0.001) w

65 Visceral adiposity was measured as intra-abdominal fat area at the umbilicus level.

66 Direct measurement of intra-abdominal fat area by magnetic resonance imaging, while

67 r percentages of the total variance in intra-abdominal fat area for men than for women.

68 st : hip ratio was linearly related to intra-abdominal fat area in both sexes.

69 mass index is used as a surrogate for intra-abdominal fat area in men, a quadratic term should be in

70 This study shows that CT-measured abdominal fat area is associated with kidney function be

71 Intra-abdominal fat area remained a significant predictor of i

72 The intra-abdominal fat area remained a significant risk factor fo

73 On average, women had a lower intra-abdominal fat area than men (109.5 cm2 vs. 152.9 cm2) bu

74 The intra-abdominal fat area was associated with an increased risk

75 After adjustment for age, intra-abdominal fat area was quadratically associated with bod

76 bsorptiometry and measured the preperitoneal abdominal fat area with the use of ultrasound.

77 Bone mineral density, abdominal fat area, and paraspinal muscle area were inve

78 ea was defined as total fat area minus intra-abdominal fat area.

79 t 10-11 years in models that contained intra-abdominal fat area.

80 e sum of these fat areas excluding the intra-abdominal fat area.

81 ertension in models that contained the intra-abdominal fat area.

82 iance in subcutaneous fat area than in intra-abdominal fat area.

83 etermine the association between CT-measured abdominal fat areas and kidney function before and after

84 ed positively with visceral and subcutaneous abdominal fat areas and negatively with lower-body fat m

85 Total, visceral, and subcutaneous abdominal fat areas were measured by abdominal computed

86 The subcutaneous and intra-abdominal fat areas, determined by computed tomography,

87 t body fat, intra-abdominal and subcutaneous abdominal fat areas, resting metabolic rate, substrate o

88 rmance of immunoelectron microscopy (IEM) of abdominal fat aspirates from 745 consecutive patients wi

89 IEM of abdominal fat aspirates is an effective tool in the rout

90 Subcutaneous abdominal fat aspiration is the easiest, most common dia

91 Furthermore, abdominal fat aspiration showed amyloid deposition and c

92 Intra-abdominal fat, assessed by computed tomography, is incre

93 otal body, intra-abdominal, and subcutaneous abdominal fat at 12 months.

94 Women appear to deposit intra-abdominal fat at a constant rate as they gain weight, ev

95 rth weight, circulating IGF-I, and total and abdominal fat at age 2 weeks.

96 ut not between birth weight and subcutaneous abdominal fat (B = -0.01, P = 0.3).

97 e association between birth weight and total abdominal fat [B (partial regression coefficient express

98 a = -0.043, 95%CI: -0.061; -0.025), visceral abdominal fat (beta = -0.006, 95%CI: -0.009; -0.003), an

99 crown-like structures (CLS) in subcutaneous abdominal fat biopsy samples.

100 Ablation of abdominal fat bodies had a strong and persistent effect

101 ction), and transcriptional changes in queen abdominal fat body and brain tissues.

102 t known as a yolk protein synthesized in the abdominal fat body, acts as an antioxidant to promote lo

103 Correlations between higher levels of abdominal fat/body mass index and reduced fMRI activatio

104 ows lower metabolic fluxes than subcutaneous abdominal fat, but differs in its relative preference fo

105 absorptiometry and visceral and subcutaneous abdominal fat by computed tomography.

106 ergy X-ray absorptiometry, and preperitoneal abdominal fat by using ultrasound.

107 investigated the contributions of different abdominal fat compartments.

108 -PET/CT), 68 cardiometabolic biomarkers, and abdominal fat composition (measured by CT) at week 16 an

109 ased with age (r = -0.32) and was related to abdominal fat content (r = -0.65).

110 ce (WC) were used as measures of overall and abdominal fat content, respectively.

111 rization techniques to examine whether intra-abdominal fat contributes a greater portion of hepatic F

112 Thus, accumulation of intra-abdominal fat correlates with insulin resistance, wherea

113 easures of total, subcutaneous, and visceral abdominal fat decreased with training, whereas total bod

114 C-reactive protein (beta=-0.20, P<0.002) and abdominal fat deposit (beta=-0.20, P<0.003); for tissue

115 eta=-0.43, P<0.0001); for tissue E velocity, abdominal fat deposit (beta=-0.30, P<0.0001), PICP (beta

116 e S velocity, PICP (beta=-0.21, P<0.002) and abdominal fat deposit (beta=-0.43, P<0.0001); for tissue

117 independently associated with the extent of abdominal fat deposit, profibrotic state (as reflected b

118 to associate with more adverse change in the abdominal fat deposition in the high-fat diet group than

119 In the general adult population, abdominal fat deposition may play a role in the impairme

120 sults indicate that among men, greater intra-abdominal fat deposition rates occur at relatively low b

121 es evident in both subcutaneous and visceral abdominal fat depots (P = 0.047 and P = 0.042, respectiv

122 bstantially enhanced the positive effects on abdominal fat depots in children with overweight or obes

123 opsy samples were obtained from subcutaneous abdominal fat depots, and preadipocytes were isolated an

124 bsorptiometry (DXA) can be used to determine abdominal fat depots, being more accessible and less cos

125 ood." (iii) GCs act systemically to increase abdominal fat depots.

126 The distribution of abdominal fat differs significantly by RA status.

127 Patterns of abdominal fat distribution (for example, a high vs. low

128 MI and dual-energy X-ray absorptiometry) and abdominal fat distribution (measured by magnetic resonan

129 pemia and contribute to the relation between abdominal fat distribution and cardiovascular disease ri

130 risk of metabolic diseases but the effect on abdominal fat distribution and liver fat content is uncl

131 ent plant-based diet indices and measures of abdominal fat distribution and liver fat content.

132 Computed tomography was used to assess abdominal fat distribution and to estimate liver fat con

133 nuclear magnetic resonance spectroscopy and abdominal fat distribution by magnetic resonance imaging

134 is known about the effect of weight loss on abdominal fat distribution in different races.

135 f NPY variant rs16147 on central obesity and abdominal fat distribution in response to dietary interv

136 ts of diet-induced weight loss on changes in abdominal fat distribution in white and black women.

137 Hepatic triglyceride content (HTG) and abdominal fat distribution were assessed using magnetic

138 cleotide polymorphism on central obesity and abdominal fat distribution were modified by dietary fat.

139 g, and East Asians have the most deleterious abdominal fat distribution.

140 ere used to quantify hepatic fat content and abdominal fat distribution.

141 and 4) magnetic resonance imaging to measure abdominal fat distribution.

142 t-to-hip ratio adjusted for BMI, a marker of abdominal fat distribution.

143 during pregnancy with childhood general and abdominal fat-distribution measures.

144 age, manifesting as hypertension, increased abdominal fat, elevated leptin and total cholesterol con

145 f other GWAS risk SNPs were tissue-specific; abdominal fat emerged as an important gene-regulatory si

146 dy mass index, waist circumference, visceral abdominal fat, fat mass index, and android/gynoid fat ra

147 (n=7) had a greater loss in body-mass index, abdominal fat, fat tissue, and lean tissue, compared wit

148 her measures included subcutaneous and intra-abdominal fat from computed tomography scans, weight, an

149 component of central adiposity, subcutaneous abdominal fat has as strong an association with insulin

150 ning associations between discrimination and abdominal fat have yielded mixed results.

151 Waist circumference, visceral abdominal fat, hepatic fat content, blood pressure, and

152 minal fat, subcutaneous abdominal fat, total abdominal fat, high total cholesterol level, high low-de

153 the insulin sensitivity index (Si) and intra-abdominal fat (IAF) and subcutaneous fat (SCF) areas.

154 Intra-abdominal fat (IAF) area (square centimeters) was measur

155 Increasing intra-abdominal fat (IAF) area, quantified by computed tomogra

156 mined the accuracy of DXA for measurement of abdominal fat in an Indian population by comparison with

157 ancy are associated with higher body fat and abdominal fat in childhood.

158 of these variants exhibited reduced percent abdominal fat in DEXA imaging.

159 h weight and adult visceral and subcutaneous abdominal fat in the population-based Fenland study.

160 nts into tertiles based on the proportion of abdominal fat in the visceral depot.

161 ipids (decreasing weight, fat percentage and abdominal fat) in otherwise healthy subjects not using d

162 Abdominal fat increased in the HFHS-frequency group (+63

163 differ between conditions (P = 0.710), total abdominal fat increased only during sleep restriction (P

164 with high meal frequency increased IHTG and abdominal fat independent of caloric content and body we

165 Xenosterol accumulation leads to loss of abdominal fat, infertility, and premature death.

166 Excess abdominal fat is a major determinant in the development

167 These data suggest that although intra-abdominal fat is a strong determinant of insulin sensiti

168 Intra-abdominal fat is abundantly present in both the peritone

169 Higher tomographic abdominal fat is associated with lower BSA-standardized

170 This study was undertaken to investigate how abdominal fat is distributed in rheumatoid arthritis (RA

171 Abdominal fat is more related to health risk than is who

172 for quantifying skeletal muscle (L3 level), abdominal fat (L3 level), and abdominal aortic calcium w

173 tage, intrahepatic lipid content, muscle and abdominal fat, liver enzymes, cardiometabolic risk facto

174 c restriction correlated with a preferential abdominal fat loss.

175 appeared to be safe and was associated with abdominal fat loss.

176 tric wall, pancreas, spleen, kidney, muscle, abdominal fat, lower thoracic spine, vertebral body, and

177 udies have evaluated the association between abdominal fat mass (AFM) and bone health beyond its weig

178 only slightly overestimated MRI measures of abdominal fat mass (mean difference in L1L4 region: 2% (

179 ight gain, accompanied by marked increase in abdominal fat mass and metabolic abnormalities, includin

180 epilepsy (TLE), exhibited gross expansion of abdominal fat mass and significant weight gain several m

181 However, this could be confounded by abdominal fat mass before pregnancy because it is unknow

182 easurement of hepatic fat fraction (HFF) and abdominal fat mass distribution, along with lipid profil

183 In conclusion, obesity and high abdominal fat mass doubles the risk of psoriasis, and lo

184 ecreased ovarian reserve and increased intra-abdominal fat mass in granddaughters, accompanied by acc

185 ography showed no significant differences in abdominal fat mass or fat distribution.

186 was associated with a tendency for a higher abdominal fat mass percentage (quartile 4 compared with

187 ly greater percent body fat and subcutaneous abdominal fat mass than did the never-obese women, and t

188 Abdominal fat mass was also higher.

189 interscapular brown adipose tissue and intra-abdominal fat mass, and increased extra-abdominal subcut

190 ist circumference, as estimates of total and abdominal fat mass, are now accepted as predictors of th

191 fore pregnancy because it is unknown whether abdominal fat mass, independently of body size, affects

192 D (CaD) may play a role in the regulation of abdominal fat mass.

193 ated with smaller infant birth size and less abdominal fat mass.

194 ociated with higher childhood total-body and abdominal fat mass.

195 ng behavior may influence long-term maternal abdominal fat mass.

196 tion by DXA greater in individuals with less abdominal fat (mean bias in leaner half of sample was 6%

197 6-month change in visceral and subcutaneous abdominal fat measured by magnetic resonance imaging and

198 95% CI: 17%, 29%) highly correlated with DXA abdominal fat measurements (mean, 26%; 95% CI: 21%, 31%)

199 erved between the anthropometric or CT-based abdominal fat measurements and THV, WMHV, or BI.

200 Abdominal fat measurements using computed tomography (CT

201 associated with higher childhood general and abdominal fat measures (P-trend < 0.05) but not with hig

202 examined the associations of total body and abdominal fat measures with respiratory resistance (Rint

203 omeostasis measures (SI, AIR, and DI) versus abdominal fat measures.

204 t, independent of total fat mass; therefore, abdominal fat might contribute to asthma development.

205 al wall (n = 7) and subcutaneous or visceral abdominal fat (n = 9) were most strongly implicated, joi

206 years, age range 20-70 years) diagnosed with abdominal fat necrosis (primary omental infarct) on CT i

207 phy (MSCT) findings and diagnosis of primary abdominal fat necrosis as a cause of acute abdomen.

208 Abdominal fat necrosis is a rare cause of abdominal acut

209 unique phenotype were highly enriched in the abdominal fat of normal mice, but their numbers were str

210 MSCs were harvested from subcutaneous abdominal fat of patients with renovascular disease and

211 on with age is related to increases in intra-abdominal fat or age per se, we studied 220 healthy subj

212 al port placement because of excessive intra-abdominal fat or limited abdominal domain.

213 differences in changes in body composition, abdominal fat, or hepatic fat between assigned macronutr

214 introduction of solid foods with general and abdominal fat outcomes are explained by sociodemographic

215 introduction of solid foods with general and abdominal fat outcomes in children.

216 depots; it was lower in femoral fat than in abdominal fat (P < 0.01).

217 fat or LBM, but rather preferential loss of abdominal fat (P < 0.05).

218 dipose lipid) was greater in gluteal than in abdominal fat (P = 0.022) in LOb women, but not in UOb w

219 n by femoral fat was also lower than that by abdominal fat (P = 0.05).

220 as inversely associated in men with visceral abdominal fat (P for trend = 0.02) and not significantly

221 ation seen between DeltaLAV and subcutaneous abdominal fat (P=0.47) or lower body fat (P=0.30).

222 The HFE hens had a lower abdominal fat pad and liver weight compared to LFE hens.

223 in spleen and were associated with increased abdominal fat pad mass in Zg16(-/-) animals.

224 moderately positively associated with BW and abdominal fat pad, but strongly positively associated wi

225 Oil rendered from their back and abdominal fat pads has good anti-oxidant and anti-inflam

226 ght, plasma volume, and the fluid content of abdominal fat pads, and decreased hematocrit.

227 exhibited poorer FE in early lay had heavier abdominal fat pads, heavier, fatter livers and were more

228 ipogenesis in obese adolescents with altered abdominal fat partitioning.

229 c syndrome, is the close interaction between abdominal fat patterning, total body adiposity, and insu

230 The ratio of visceral to subcutaneous abdominal fat predicted the largest degree of variance i

231 tudy explored the degree to which changes in abdominal fat quantity and quality are associated with c

232 age was associated with S(i), but both intra-abdominal fat (r = -0.198, P = 0.003) and age (r = -0.13

233 In multiple regression, intra-abdominal fat (r = -0.470, P < 0.001) but not age was as

234 .58), visceral fat (r = -0.52), subcutaneous abdominal fat (r = -0.61), and thigh fat (r = -0.38) and

235 s (r = 0.97), visceral (r = 0.96), and total abdominal fat (r = 0.97).

236 total lean tissue, muscle fat infiltration, abdominal fat ratio, weight to muscle ratio) in a dose-d

237 ther altered partitioning of myocellular and abdominal fat relates to abnormalities in glucose homoeo

238 n stepwise multiple regression, subcutaneous abdominal fat retained significance after adjusting for

239 and a proportional reduction in subcutaneous abdominal fat (SAT); the VAT-SAT ratio was unchanged in

240 large QTL affecting back fat and another for abdominal fat segregating on chromosome 4.

241 h insulin resistance or whether subcutaneous abdominal fat shares this link has generated controversy

242 en with higher baseline percentage trunk and abdominal fat showed increases in LOC eating episode fre

243 on energy storage by surgically ablating the abdominal fat stores from half of the females in each re

244 The relationship between RSL and visceral abdominal fat, subcutaneous abdominal fat, total abdomin

245 djusted for BMI (WHRadjBMI), a surrogate for abdominal fat that is causally linked to type 2 diabetes

246 ents on indinavir treatment accumulate intra-abdominal fat that may cause abdominal symptoms.

247 0.05) with berberine supplementation and the abdominal fat thickness (in the peri-umbilical area) was

248 ulating drug usage including measurements of abdominal fat tissue, cardiovascular health, and lipid m

249 of liposomes (Kliposome/water), (iii) human abdominal fat tissues (KAFT/water) from seven individual

250 Back and abdominal fat tissues from 11 adult emus were biopsied a

251 RSL and visceral abdominal fat, subcutaneous abdominal fat, total abdominal fat, high total cholester

252 that the THRSPalpha locus is associated with abdominal fat traits in a broilerxLeghorn resource popul

253 magnetic resonance spectroscopy ((1) H-MRS), abdominal fat using magnetic resonance imaging (MRI), an

254 c function, and computed tomography visceral abdominal fat (VAF) measurements at baseline and 6 month

255 intrathoracic fat, pericardial fat, visceral abdominal fat (VAT), coronary artery calcification, and

256 y was associated with a decrease in visceral abdominal fat (VAT; -1115 [819] vs 1191 [699] mm(2); P =

257 Hyperinsulinemia and increased visceral/abdominal fat (VF) are common features of human aging.

258 Specifically, subcutaneous fat (SF), intra-abdominal fat (VF), external muscle (EM) and psoas muscl

259 Increased intra-abdominal fat (visceral adiposity) with CHD is independe

260 xperiences of discrimination and subtypes of abdominal fat (visceral, subcutaneous) in a population-b

261 Exercise reduced visceral abdominal fat volume from 348 mL +/- 57 to 219 mL +/- 33

262 to 219 mL +/- 33 (P < .01), and subcutaneous abdominal fat volume remained unchanged (P = .9).

263 irway sizes and soft tissue, tongue fat, and abdominal fat volumes were quantified.

264 diet indices with visceral and subcutaneous abdominal fat volumes, LSI, and FLD were assessed in lin

265 Abdominal fat was assessed by magnetic resonance imaging

266 rs where we found that the lowest tertile of abdominal fat was associated with reduced odds of any fr

267 Abdominal fat was highest with low protein intakes (<16%

268 rgy X-ray absorptiometry assessment of total abdominal fat was performed.

269 A gain in abdominal fat was positively associated with risk, indep

270 Abdominal fat was quantified by magnetic resonance imagi

271 Intra-abdominal fat was the best variable predicting insulin s

272 no differences in (mobilization of) HTG and abdominal fat were detected.

273 coefficients between DXA and MRI measures of abdominal fat were high (0.98 for both regions).

274 Changes in weight and intra-abdominal fat were not significantly different between g

275 dy fat, percentage trunk fat, and percentage abdominal fat were related to greater body dissatisfacti

276 Neurons to abdominal fat were the most abundant in males, whereas f

277 a greater percentage trunk fat, specifically abdominal fat, were at highest risk of developing LOC ea

278 -) female mice having a higher proportion of abdominal fat when compared with wild-type female mice.

279 ved, but there is not a preferential loss of abdominal fat when either moderate- or vigorous-intensit

280 hs of age displayed aberrant accumulation of abdominal fat when maintained on standard rodent chow, w

281 0.02) were associated with the percentage of abdominal fat, whereas SFA (b = 0.27; P = 0.04) and PUFA

282 uals predict increases in total and visceral abdominal fat with treatment initiation.

283 d waist circumference (a surrogate for intra-abdominal fat) with cause-specific mortality and all-cau

284 que that allows rapid noninvasive imaging of abdominal fat without the potentially harmful effects of