Susanne B. Votruba
Mayo Clinic
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Featured researches published by Susanne B. Votruba.
Proceedings of the National Academy of Sciences of the United States of America | 2010
Yourka D. Tchoukalova; Susanne B. Votruba; Tamara Tchkonia; Nino Giorgadze; James L. Kirkland; Michael D. Jensen
Body fat distribution is an important predictor of the metabolic consequences of obesity, but the cellular mechanisms regulating regional fat accumulation are unknown. We assessed the changes in adipocyte size (photomicrographs) and number in response to overfeeding in upper- and lower-body s.c. fat depots of 28 healthy, normal weight adults (15 men) age 29 ± 2 y. We analyzed how these changes relate to regional fat gain (dual energy X-ray absorptiometry and computed tomography) and baseline preadipocyte proliferation, differentiation [peroxisome proliferator-activated receptor-γ2 (PPARγ2) and CCAAT/enhancer binding protein-α (C/EBPα) mRNA]), and apoptotic response to TNF-α. Fat mass increased by 1.9 ± 0.2 kg in the upper body and 1.6 ± 0.1 kg in the lower body. Average abdominal s.c. adipocyte size increased by 0.16 ± 0.06 μg lipid per cell and correlated with relative upper-body fat gain (r = 0.74, P < 0.0001). However, lower-body fat responded to overfeeding by fat-cell hyperplasia, with adipocyte number increasing by 2.6 ± 0.9 × 109 cells (P < 0.01). We found no depot-differences in preadipocyte replication or apoptosis that would explain lower-body adipocyte hyperplasia and abdominal s.c. adipocyte hypertrophy. However, baseline PPARγ2 and C/EBPα mRNA were higher in abdominal than femoral s.c. preadipocytes (P < 0.005 and P < 0.03, respectively), consistent with the ability of abdominal s.c. adipocytes to achieve a larger size. Inherent differences in preadipocyte cell dynamics may contribute to the distinct responses of different fat depots to overfeeding, and fat-cell number increases in certain depots in adults after only 8 wk of increased food intake.
Obesity | 2010
Yourka D. Tchoukalova; Christina Koutsari; Susanne B. Votruba; Tamara Tchkonia; Nino Giorgadze; Thomas Thomou; James L. Kirkland; Michael D. Jensen
To elucidate cellular mechanisms of sex‐related differences in fat distribution, we determined body fat distribution (dual‐energy X‐ray absorptiometry and single‐slice abdominal computed tomography (CT)), adipocyte size, adipocyte number, and proportion of early‐differentiated adipocytes (aP2+CD68−) in the stromovascular fraction (SVF) in the upper and lower body of normal‐weight healthy men (n = 12) and premenopausal women (n = 20) (age: 18–49 years, BMI: 18–26 kg/m2). Women had more subcutaneous and less visceral fat than men. The proportion of early differentiated adipocytes in the subcutaneous adipose tissue SVF of women was greater than in men (P = 0.01), especially in the femoral depot, although in vitro adipogenesis, as assessed by peroxisome proliferator activated receptor‐γ (PPARγ) expression, was not increased in femoral preadipocytes cultured from women compared with men. In women, differentiation of femoral preadipocytes was less than that of abdominal subcutaneous preadipocytes (P = 0.04), and femoral subcutaneous preadipocytes tended to be more resistant to tumor necrosis factor‐α (TNFα)–induced apoptosis (P = 0.06). Thus, turnover and utilization of the preadipocyte pool may be reduced in lower vs. the upper‐body fat in women. Collectively, these data indicate that the microenvironment, rather than differences in inherent properties of preadipocytes between genders, may explain the gynoid obesity phenotype and higher percent body fat in women compared to men.
Journal of the American College of Cardiology | 2010
Abel Romero-Corral; Fatima H. Sert-Kuniyoshi; Justo Sierra-Johnson; Marek Orban; Apoor S. Gami; Diane E. Davison; Prachi Singh; Snigdha Pusalavidyasagar; Christine Huyber; Susanne B. Votruba; Francisco Lopez-Jimenez; Michael D. Jensen; Virend K. Somers
OBJECTIVES The aim of this study was to determine the impact of fat gain and its distribution on endothelial function in lean healthy humans. BACKGROUND Endothelial dysfunction has been identified as an independent predictor of cardiovascular events. Whether fat gain impairs endothelial function is unknown. METHODS A randomized controlled study was conducted to assess the effects of fat gain on endothelial function. Forty-three normal-weight healthy volunteers were recruited (mean age 29 years; 18 women). Subjects were assigned to gain weight (approximately 4 kg) (n=35) or to maintain weight (n=8). Endothelial function (brachial artery flow-mediated dilation [FMD]) was measured at baseline, after fat gain (8 weeks), and after weight loss (16 weeks) for fat gainers and at baseline and follow-up (8 weeks) for weight maintainers. Body composition was measured by dual-energy X-ray absorptiometry and abdominal computed tomographic scans. RESULTS After an average weight gain of 4.1 kg, fat gainers significantly increased their total, visceral, and subcutaneous fat. Blood pressure and overnight polysomnography did not change after fat gain or loss. FMD remained unchanged in weight maintainers. FMD decreased in fat gainers (9.1+/-3% vs. 7.8+/-3.2%, p=0.003) but recovered to baseline when subjects shed the gained weight. There was a significant correlation between the decrease in FMD and the increase in visceral fat gain (rho=-0.42, p=0.004), but not with subcutaneous fat gain (rho=-0.22, p=0.15). CONCLUSIONS In normal-weight healthy young subjects, modest fat gain results in impaired endothelial function, even in the absence of changes in blood pressure. Endothelial function recovers after weight loss. Increased visceral rather than subcutaneous fat predicts endothelial dysfunction. (Fat Gain and Cardiovascular Disease Mechanisms; NCT00589498).
Diabetes | 2007
Susanne B. Votruba; Rebecca Mattison; Daniel A. Dumesic; Christina Koutsari; Michael D. Jensen
OBJECTIVE—Differential meal fat uptake into adipose tissue depots may be a determinant of body fat distribution. RESEARCH DESIGN AND METHODS—We used the meal fat tracer/adipose tissue biopsy approach to compare the effects of meal fat content on the fat uptake into visceral and upper and lower body subcutaneous fat depots in 21 premenopausal women. [3H]triolein was used to trace the fate of fatty acids from a normal-fat or high-fat meal. RESULTS—The proportion of dietary fat uptake into the three depots did not differ between meals; visceral fat accounted for only ∼5% of meal fat disposal irrespective of visceral fat mass. For the women consuming the normal-fat meal, the uptake of meal fatty acid into femoral fat (milligrams meal fat per gram lipid) increased as a function of leg fat mass (r = 0.68, P < 0.05), which we interpret as increased efficiency of uptake. The opposite pattern was seen in omental fat with the normal-fat meal and in all depots after the high-fat meal. For both meals, ∼40% of meal fat was oxidized (3H2O production) after 24 h. CONCLUSIONS—We conclude that greater thigh adipose tissue in women is associated with greater efficiency of meal fat storage under conditions of energy balance, whereas the opposite is seen with visceral fat. These findings imply that different mechanisms may regulate fatty acid uptake in different depots, which may in turn impact on body fat distribution.
International Journal of Obesity | 2014
Christopher M. Weise; Maximilian G. Hohenadel; Jonathan Krakoff; Susanne B. Votruba
Background:Obesity is the result of chronic positive energy balance. The mechanisms underlying the regulation of energy homeostasis and food intake are not understood. Despite large increases in fat mass (FM), recent evidence indicates that fat-free mass (FFM) rather than FM is positively associated with intake in humans.Methods:In 184 humans (73 females/111 males; age 34.5±8.8 years; percentage body fat: 31.6±8.1%), we investigated the relationship of FFM index (FFMI, kg m−2), FM index (FMI, kg m−2); and 24-h energy expenditure (EE, n=127) with ad-libitum food intake using a 3-day vending machine paradigm. Mean daily calories (CAL) and macronutrient intake (PRO, CHO, FAT) were determined and used to calculate the relative caloric contribution of each (%PRO, %CHO, %FAT) and percent of caloric intake over weight maintaining energy needs (%WMENs).Results:FFMI was positively associated with CAL (P<0.0001), PRO (P=0.0001), CHO (P=0.0075) and FAT (P<0.0001). This remained significant after adjusting for FMI. Total EE predicted CAL and macronutrient intake (all P<0.0001). FMI was positively associated with CAL (P=0.019), PRO (P=0.025) and FAT (P=0.0008). In models with both FFMI and FMI, FMI was negatively associated with CAL (P=0.019) and PRO (P=0.033). Both FFMI and FMI were negatively associated with %CHO and positively associated with %FAT (all P<0.001). EE and FFMI (adjusted for FMI) were positively (EE P=0.0085; FFMI P=0.0018) and FMI negatively (P=0.0018; adjusted for FFMI) associated with %WMEN.Conclusion:Food and macronutrient intake are predicted by FFMI and to a lesser degree by FMI. FFM and FM may have opposing effects on energy homeostasis.
Diabetes | 2008
Christina Koutsari; Daniel A. Dumesic; Bruce W. Patterson; Susanne B. Votruba; Michael D. Jensen
OBJECTIVE— We assessed the direct (VLDL-triglycerides [VLDL-TG] independent) storage of circulating free fatty acids (FFAs) in visceral and subcutaneous fat in postabsorptive women. RESEARCH DESIGN AND METHODS— Twelve women (BMI 29.6 ± 6.6 kg/m2) received an identical, intravenous bolus dose of [1-14C]oleate followed by timed subcutaneous fat biopsies (abdominal and femoral) and then omental fat biopsy during tubal ligation surgery. Regional fat masses were assessed by combining dual-energy X-ray absorptiometry and computed tomography scanning. Separately, we assessed the fraction of FFA tracer entering VLDL-TG over the time representing the delay in collecting omental fat. RESULTS— Site-specific fat specific activity (SA) (dpm/g lipid) decreased as a function of fat mass in both upper-body subcutaneous (UBSQ) and visceral fat depots. These patterns are consistent with dilution of a relatively fixed amount of FFA tracer within progressively greater amounts of fat. Interestingly, femoral SA did not vary as a function of lower-body subcutaneous (LBSQ) fat mass. [1-14C]oleate storage per million LBSQ adipocytes was positively associated with LBSQ fat mass, but no significant relationships were observed in UBSQ or visceral fat depot. The fraction of [1-14C]oleate stored in UBSQ, LBSQ, and visceral fat was 6.7 ± 3.2, 4.9 ± 3.4, and 1.0 ± 0.3%, respectively. Only ∼4% of the tracer traversed VLDL-TG over 9.5 h. CONCLUSIONS— The increase in FFA tracer storage per adipocyte as a function of LBSQ fat mass implies that LBSQ adipocytes, in contrast to UBSQ and omental adipocytes, store more FFA in women with greater adiposity. The direct FFA storage pathway might play a role in favoring lower-body fat accumulation in women.
The Journal of Clinical Endocrinology and Metabolism | 2010
Manpreet S. Mundi; Maksym V. Karpyak; Christina Koutsari; Susanne B. Votruba; Peter C. O'Brien; Michael D. Jensen
CONTEXT It is unclear whether adipocyte size or body fat distribution is most strongly linked to the metabolic complications of obesity. OBJECTIVE Our objective was to test whether adipocyte size better predicts metabolic characteristics of obesity than body composition. DESIGN, PARTICIPANTS, AND SETTING We analyzed the relationship between metabolic and anthropometric data collected from 432 largely Caucasian research volunteers (264 women) participating in studies conducted in the Mayo General Clinical Research Center between 1995 and 2008. MAIN OUTCOME MEASURES Metabolic variables included fasting plasma glucose, insulin, and triglyceride concentrations. Anthropometric variables included body composition, fat distribution, and sc abdominal and femoral adipocyte size. RESULTS Using both univariate and multivariate regression analysis, fasting triglyceride in both men and women was best predicted by computed tomography of visceral fat area. Fasting insulin concentrations were best predicted by sc abdominal fat area in women (r(2) = 0.40; P < 0.01) and body mass index in men (r(2) = 0.53; P < 0.0001); adipocyte size did not contribute independently. In men, fasting glucose concentrations were predicted by femoral adipocyte size (partial r(2) = 0.07; P = 0.002), body mass index (partial r(2) = 0.03; P = 0.07), and age (partial r(2) = 0.02; P = 0.06). In women, fasting glucose was predicted by abdominal sc fat area (partial r(2) = 0.12; P < 0.0001) and age (partial r(2) = 0.03; P = 0.01). CONCLUSIONS Our hypothesis that adipocyte size is the best predictor of metabolic characteristics was not supported in this population. The alternative explanation is that fat mass and body fat distribution have more influence on metabolic responses than adipocyte size.
The American Journal of Clinical Nutrition | 2010
Colleen A. Venti; Susanne B. Votruba; Paul W. Franks; Jonathan Krakoff; Arline D. Salbe
BACKGROUND Accurate assessment of energy intake is difficult but critical for the evaluation of eating behavior and intervention effects. Consequently, methods to assess ad libitum energy intake under controlled conditions have been developed. OBJECTIVE Our objective was to evaluate the reproducibility of ad libitum energy intake with the use of a computerized vending machine system. DESIGN Twelve individuals (mean + or - SD: 36 + or - 8 y old; 41 + or - 8% body fat) consumed a weight-maintaining diet for 3 d; subsequently, they self-selected all food with the use of a computerized vending machine system for an additional 3 d. Mean daily energy intake was calculated from the actual weight of foods consumed and expressed as a percentage of weight-maintenance energy needs (%WMEN). Subjects repeated the study multiple times during 2 y. The within-person reproducibility of energy intake was determined through the calculation of the intraclass correlation coefficients (ICCs) between visits. RESULTS Daily energy intake for all subjects was 5020 + or - 1753 kcal during visit 1 and 4855 + or - 1615 kcal during visit 2. There were no significant associations between energy intake and body weight, body mass index, or percentage body fat while subjects used the vending machines, which indicates that intake was not driven by body size or need. Despite overconsumption (%WMEN = 181 + or - 57%), the reproducibility of intake between visits, whether expressed as daily energy intake (ICC = 0.90), %WMEN (ICC = 0.86), weight of food consumed (ICC = 0.87), or fat intake (g/d; ICC = 0.87), was highly significant (P < 0.0001). CONCLUSION Although ad libitum energy intake exceeded %WMEN, the within-person reliability of this intake across multiple visits was high, which makes this a reproducible method for the measurement of ad libitum intake in subjects who reside in a research unit. This trial was registered at clinicaltrials.gov as NCT00342732.
The American Journal of Clinical Nutrition | 2009
Susanne B. Votruba; Henriette Kirchner; Matthias H. Tschöp; Arline D Salbe; Jonathan Krakoff
BACKGROUND Ghrelin has a short-term orexigenic effect but may also be a marker of food intake over time. We previously found an inverse association between ghrelin concentrations and food intake. OBJECTIVES The objectives were to determine whether the fasting plasma ghrelin concentration is related to food intake and whether the previous days intake predicts the suppression of ghrelin. DESIGN Sixty-nine nondiabetic adults (40 men) aged 33 +/- 9 y were studied as inpatients at a Clinical Research Center. After 6 d of consuming a maintenance diet, the subjects self-selected their food from our vending machine system for 3 d. Total plasma ghrelin concentrations were measured every morning during the vending machine period. RESULTS The fasting ghrelin concentration was negatively correlated with body mass index (r = -0.31, P = 0.016) and weight (r = -0.26, P = 0.044). Mean morning ghrelin concentrations remained constant (149 +/- 59, 152 +/- 60, 148 +/- 61, and 145 +/- 59 pg/mL on days 1, 2, 3, and 4, respectively) even though the subjects overate while using the vending machines (160 +/- 42% of weight-maintenance needs). No associations were found between daily ghrelin concentrations and subsequent food intake on any day (day 1: r = -0.04, P = 0.76; day 2: r = -0.01, P = 0.95; day 3: r = -0.11, P = 0.38). Suppression of total ghrelin concentrations was not associated with the previous days intake or with subsequent food intake. CONCLUSION Morning plasma ghrelin concentrations do not affect acute increases in food intake. This trial was registered at clinicaltrials.gov as NCT00342732.
Obesity | 2011
Susanne B. Votruba; Michael D. Jensen
Although insulin resistance and type 2 diabetes (T2DM) are associated with upper body fat distribution, it is unknown whether insulin resistance predisposes to upper body fat gain or whether upper body fat gain causes insulin resistance. Our objective was to determine whether insulin sensitivity predicts abdominal (subcutaneous and/or visceral) fat gain in normal weight adults. Twenty‐eight (15 men) lean (BMI = 22.1 ± 2.5 kg/m2), healthy adults underwent ∼8 weeks of overfeeding to gain ∼4 kg fat. Body composition was assessed before and after overfeeding, using dual‐energy X‐ray absorptiometry (DXA) and abdominal computed tomography to measure total and regional (visceral, abdominal, and lower body subcutaneous) fat gain. We assessed insulin sensitivity with an intravenous glucose tolerance test (IVGTT) and the 24‐h insulin area under the curve (AUC). We found a wide range of insulin sensitivity and a relatively narrow range of body fat distribution in this normal weight cohort. Participants gained 3.8 ± 1.7 kg of body fat (4.6 ± 2.2 kg body weight). The baseline 24‐h AUC of insulin concentration was positively correlated with percent body fat (r = 0.43, P < 0.05). The contribution of leg fat gain to total fat gain ranged from 29 to 79%, whereas the contributions of abdominal subcutaneous fat and visceral fat gain to total fat gain ranged from 17 to 69% and −5 to 22%, respectively. Baseline insulin sensitivity, whether measured by an IVGTT (Si) or the 24‐h AUC insulin, did not predict upper body subcutaneous or visceral fat gain in response to overfeeding. We conclude that reduced insulin sensitivity is not an obligate precursor to upper body fat gain.