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Effects of ERβ and ERα on OVX-induced changes in adiposity and insulin resistance.

Er β 和 er α 对 OVX 诱导的肥胖和胰岛素抵抗变化的影响。

  • 影响因子:4.44
  • DOI:10.1530/JOE-19-0321
  • 作者列表:"Zidon TM","Padilla J","Fritsche KL","Welly RJ","McCabe LT","Stricklin OE","Frank A","Park Y","Clegg DJ","Lubahn DB","Kanaley JA","Vieira-Potter VJ
  • 发表时间:2020-04-01
Abstract

:Loss of ovarian hormones leads to increased adiposity and insulin resistance (IR), increasing the risk for cardiovascular and metabolic diseases. The purpose of this study was to investigate whether the molecular mechanism behind the adverse systemic and adipose tissue-specific metabolic effects of ovariectomy requires loss of signaling through estrogen receptor alpha (ERα) or estrogen receptor β (ERβ). We examined ovariectomized (OVX) and ovary-intactwild-type (WT), ERα-null (αKO), and ERβ-null (βKO) female mice (age ~49 weeks; n = 7-12/group). All mice were fed a phytoestrogen-free diet (<15 mg/kg) and either remained ovary-intact (INT) or were OVX and followed for 12 weeks. Body composition, energy expenditure, glucose tolerance, and adipose tissue gene and protein expression were analyzed. INT αKO were ~25% fatter with reduced energy expenditure compared to age-matched INT WT controls and βKO mice (all P < 0.001). Following OVX, αKO mice did not increase adiposity or experience a further increase in IR, unlike WT and βKO, suggesting that loss of signaling through ERα mediates OVX-induced metabolic dysfunction. In fact, OVX in αKO mice (i.e., signaling through ERβ in the absence of ERα) resulted in reduced adiposity, adipocyte size, and IR (P < 0.05 for all). βKO mice responded adversely to OVX in terms of increased adiposity and development of IR. Together, these findings challenge the paradigm that ERα mediates metabolic protection over ERβ in all settings. These findings lead us to suggest that, following ovarian hormone loss, ERβ may mediate protective metabolic benefits.

摘要

卵巢激素的丢失导致肥胖和胰岛素抵抗 (IR) 增加,增加心血管和代谢疾病的风险。本研究的目的是探讨卵巢切除的不良全身和脂肪组织特异性代谢效应背后的分子机制是否需要通过雌激素受体 α (er α) 丢失信号或雌激素受体 β (er β)。我们检查了去卵巢 (OVX) 和卵巢-intactwild 型 (WT) 、 er α-null (α ko) 和 er β-null (β ko) 雌性小鼠 (年龄 ~ 49 周; n = 7-12/组)。所有小鼠均饲喂无植物雌激素饮食 (<15 mg/kg),保持卵巢完整 (INT) 或 OVX,随访 12 周。分析身体成分、能量消耗、葡萄糖耐量、脂肪组织基因和蛋白表达。与年龄匹配的 INT WT 对照组和 β ko 小鼠相比,INT α ko 肥胖约 25%,能量消耗减少 (均 P <0.001)。OVX 后,α ko 小鼠没有增加肥胖或 IR 进一步增加,与 WT 和 β ko 不同,提示通过 er α 的信号丢失介导 OVX 诱导的代谢功能障碍。事实上,α ko 小鼠中的 OVX (即在没有 er α 的情况下通过 er β 信号传导) 导致肥胖、脂肪细胞大小和 IR 减少 (P 均 <0.05)。Β ko 小鼠对 OVX 有不利反应,增加了肥胖和 IR 的发展。这些发现共同挑战了 er α 在所有情况下介导 er β 代谢保护的范式。这些发现使我们认为,卵巢激素丢失后,er β 可能介导保护性代谢获益。

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DOI:10.1111/jhn.12736
作者列表:["Hone M","Nugent AP","Walton J","McNulty BA","Egan B"]

METHODS:BACKGROUND:Given the importance of habitual dietary protein intake, distribution patterns and dietary sources in the aetiology of age-related declines of muscle mass and function, the present study examined these factors as a function of sex and age in Irish adults aged 18-90 years comprising The National Adult Nutrition Survey (NANS). METHODS:In total, 1051 (males, n = 523; females, n = 528) undertook a 4-day semi-weighed food diary. Total, body mass relative intake and percentage contribution to total energy intake of dietary protein were determined in addition to protein distribution scores (PDS), as well as the contribution of food groups, animal- and plant-based foods to total protein intake. RESULTS:Total and relative protein intake [mean (SD)] were highest in those aged 18-35 years [96 (3) g day , 1.32 (0.40) g kg day ], with lower protein intakes with increasing age (i.e. in adults aged ≥65 years [82 (22) g, 1.15 (0.34) g kg day , P < 0.001 for both]. Differences in protein intake between age groups were more pronounced in males compared to females. Protein distribution followed a skewed pattern for all age groups [breakfast, 15 (10) g; lunch, 30 (15) g; dinner, 44 (17) g]. Animal-based foods were the dominant protein source within the diet [63% (11%) versus 37% (11%) plant protein, P < 0.001]. CONCLUSIONS:Protein intake and the number of meals reaching the purported threshold for maximising post-prandial anabolism were highest in young adults, and lower with increasing age. For main meals, breakfast provided the lowest quantity of protein across all age categories and may represent an opportunity for improving protein distribution, whereas, in older adults, increasing the number of meals reaching the anabolic threshold regardless of distribution pattern may be more appropriate.

翻译标题与摘要 下载文献
影响因子:2.76
发表时间:2020-01-30
DOI:10.1152/japplphysiol.00631.2019
作者列表:["Bonomi AG","Ten Hoor GA","De Morree HM","Plasqui G","Sartor F"]

METHODS:BACKGROUND:Low cardiorespiratory fitness (CRF) increases risk of all-cause mortality and cardiovascular events. Periodic CRF assessment can have an important preventive function. OBJECTIVE:To develop a protocol-free method to estimate CRF in daily life based on heart rate (HR) and body acceleration measurements. METHODS:Acceleration and HR data were collected from 37 subjects (M=49%) while performing a standardized laboratory activity protocol (sitting, walking, running, cycling) and during a 5-days free-living monitoring period. CRF was determined by oxygen uptake (VO2max) during maximal exercise testing. A doubly-labeled water validated equation was used to predict total energy expenditure (TEE) from acceleration data. A fitness index was defined as the ratio between TEE and HR (TEE-pulse). Activity recognition techniques were used to process acceleration features and classify sedentary, ambulatory and other activity types. Regression equations based on TEE-pulse data from each activity type were developed to predict VO2max. RESULTS:TEE-pulse measured within each activity type of the laboratory protocol was highly correlated to VO2max (r from 0.74 to 0.91). Averaging the outcome of each activity-type specific equation based on TEE-pulse from the laboratory data led to accurate estimates of VO2max (RMSE: 300.0 mlO2/min or 10%). The difference between laboratory and free-living determined TEE-pulse was 3.7 ± 11% (r =0.85). The prediction method preserved the prediction accuracy when applied to free-living data (RMSE: 367 mlO2/min or 12%). CONCLUSIONS:Measurements of body acceleration and HR can be used to predict VO2max in daily life. Activity-specific prediction equations are needed to achieve highly accurate estimates of CRF.

翻译标题与摘要 下载文献
影响因子:3.76
发表时间:2020-01-31
DOI:10.1152/ajpgi.00386.2018
作者列表:["Farr S","Stankovic B","Hoffman S","Masoudpoor H","Baker C","Taher J","Dean A","Anakk S","Adeli K"]

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