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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

43 Intra-abdominal fat and subcutaneous fat areas were quantified

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

45 Subcutaneous abdominal fat and waist to hip ratio decreased significa

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

81 Furthermore, abdominal fat aspiration showed amyloid deposition and c

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

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

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

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

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

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

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

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

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

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

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

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

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

95 investigated the contributions of different abdominal fat compartments.

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

144 c restriction correlated with a preferential abdominal fat loss.

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

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

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

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

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

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

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

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

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

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

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

156 Abdominal fat mass was also higher.

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

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

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

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

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

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

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

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

165 6-month change in visceral and subcutaneous abdominal fat measured by magnetic resonance imaging and

166 95% CI: 17%, 29%) highly correlated with DXA abdominal fat measurements (mean, 26%; 95% CI: 21%, 31%)

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

185 ipogenesis in obese adolescents with altered abdominal fat partitioning.

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

212 Abdominal fat was assessed by magnetic resonance imaging

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

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

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

216 Abdominal fat was quantified by magnetic resonance imagi

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

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

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

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

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

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

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

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

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

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

227 0.02) were associated with the percentage of abdominal fat, whereas SFA (b = 0.27; P = 0.04) and PUFA

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