| Literature DB >> 29168299 |
Frederik J Steyn1,2,3, Shyuan T Ngo1,2,3,4,5, Vicky Ping Chen6, Lora C Bailey-Downs7, Teresa Y Xie8, Martin Ghadami8, Stephen Brimijoin6, Willard M Freeman9,10,11, Marcelo Rubinstein12,13,14, Malcolm J Low14, Michael B Stout7,10,11.
Abstract
Weight loss is an effective intervention for diminishing disease burden in obese older adults. Pharmacological interventions that reduce food intake and thereby promote weight loss may offer effective strategies to reduce age-related disease. We previously reported that 17α-estradiol (17α-E2) administration elicits beneficial effects on metabolism and inflammation in old male mice. These observations were associated with reduced calorie intake. Here, we demonstrate that 17α-E2 acts through pro-opiomelanocortin (Pomc) expression in the arcuate nucleus (ARC) to reduce food intake and body mass in mouse models of obesity. These results confirm that 17α-E2 modulates appetite through selective interactions within hypothalamic anorexigenic pathways. Interestingly, some peripheral markers of metabolic homeostasis were also improved in animals with near complete loss of ARC Pomc transcription. This suggests that 17α-E2 might have central and peripheral actions that can beneficially affect metabolism cooperatively or independently.Entities:
Keywords: 17α-estradiol; aging; food intake; hypothalamus; obesity; pro-opiomelanocortin
Mesh:
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Year: 2017 PMID: 29168299 PMCID: PMC5770854 DOI: 10.1111/acel.12703
Source DB: PubMed Journal: Aging Cell ISSN: 1474-9718 Impact factor: 9.304
Figure 117α‐E2 reverses high‐fat diet (HFD)‐mediated perturbations in adiposity and metabolism by reducing dietary intake. (a) Change in body mass in mice fed chow, HFD, or HFD switched to HFD+17α‐E2. (b) Body mass, (c) fat and fat‐free mass, and (d) epididymal (Epi) and inguinal (SubQ) adipose mass at necropsy. (e) Normalized blood glucose, area under the curve (AUC), and blood insulin levels during intraperitoneal glucose tolerance testing (IP‐GTT) during week 23 of the study. (f) Fasting blood glucose and insulin prior to IP‐GTT. Phenotypic measures collected during week 20 of the study, including (g) energy intake over a representative 24‐hour sampling period, (h) cumulative weekly food, and (i) energy intake, (j) average daily energy intake during light and dark periods, (k) daily activity over a representative 24‐hour sampling period, (l) cumulative weekly activity, (m) averaged daily activity during light and dark periods, (n) oxygen consumption (VO 2) normalized to body mass over a representative 24‐hour sampling period, and (o) averaged VO 2 normalized to body mass over the 7‐day assessment period during light and dark periods. Change in (p) body mass, (q) body composition, and (r) averaged daily energy intake in mice implanted with subcutaneous cholesterol matrix pellets releasing either 0.0 (placebo), 0.1, or 0.3 μg/day 17α‐E2. All data are expressed as mean ± SEM (A‐0: N = 6/group; P‐R: N = 5/group). For A‐O, p < .05 considered statistically different from chow (*) or HFD (#) treated mice. For P‐Q, p < .05 from baseline (*). For R, p < .05 from baseline (*, days −5 to 0), or placebo (#) during respective treatment periods
Figure 217α‐E2‐mediated effects on food intake, body mass, and adiposity are dependent upon hypothalamic Pomc gene transcription. (a) Change in body mass, normalized to baseline, following administration of 17α‐E2. (b) Actual (left) and percent change (right) in body mass relative to baseline at necropsy. (c) Hypothalamic Pomc expression in Pomc , Pomc , Pomc , and Pomc mice at necropsy. (d) Daily energy intake before and following administration of 17α‐E2. (e) Percent change in energy intake, normalized to body mass, before and following 17α‐E2 treatment. Weekly (f) food intake, (g) body mass, and (h) fat and fat‐free mass, normalized to baseline, following 17α‐E2 treatment. (i) Fasting glucose, (j) fasting insulin, and (k) homeostatic model assessment of insulin resistance (HOMA‐IR) at baseline and week 3 of the study following administration of 17α‐E2. All data are expressed as mean ± SEM (Pomc N = 12; PomcΔ2 N = 7; PomcΔ1 N = 9; Pomcneo N = 7) with p < .05 considered statistically different from baseline (*; panels a–b,d–k) or Pomc (*; panels b–c)