对 2 型糖尿病成人患者进行为期 12 周的碳水化合物和能量限制与自由生活控制对比后的肝功能和 beta 细胞功能指数进行二次分析。

IF 3.9 2区 医学 Q2 NUTRITION & DIETETICS
Cody Durrer, Hashim Islam, Haoning Howard Cen, Maria Dolores Moya Garzon, Xuchao Lyu, Sean McKelvey, Joel Singer, Alan M Batterham, Jonathan Z Long, James D Johnson, Jonathan P Little
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引用次数: 0

摘要

背景:2 型糖尿病(T2D)患者大幅减轻体重可减少对降糖药物的需求,同时将血糖降至疾病诊断阈值以下。此外,减肥干预还能改善 2 型糖尿病病理生理学中与肝脏异位脂肪和胰腺 beta 细胞功能有关的方面。因此,本次二次分析的目的是探讨低碳水化合物和能量限制(LCER)饮食干预能在多大程度上改善 2 型糖尿病患者的 beta 细胞压力/功能、肝脏脂肪堆积和代谢相关肝功能指标:我们对一项规模更大的基于社区的务实平行组随机对照试验的血液样本进行了二次分析,该试验涉及药剂师实施的为期 12 周的 LCER 饮食(Pharm-TCR:2)。主要结果包括 C 肽与原胰岛素比率、循环 microRNA 375 (miR375)、稳态模型评估 (HOMA) β 细胞功能 (B)、脂肪肝指数 (FLI)、肝脏脂肪变性指数 (HSI)、HOMA 胰岛素抵抗 (IR) 以及循环胎盘素-A 和成纤维细胞生长因子 21 (FGF21)。数据采用线性回归分析,基线为协变量:结果:未观察到 miR375(p = 0.42)、C 肽与胰岛素比值(p = 0.17)或 HOMA B(p = 0.15)的变化。FLI和HSI降低了-25.1(p 结论:Pharm-TCR干预并没有改善患者的血糖水平:Pharm-TCR干预并没有改善β细胞压力的空腹指数;但是,肝脏脂肪堆积和肝功能指标得到了改善,这表明LCER饮食可以改善T2D潜在病理生理学的某些方面:试验注册:Clinicaltrials.gov (NCT03181165)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A secondary analysis of indices of hepatic and beta cell function following 12 weeks of carbohydrate and energy restriction vs. free-living control in adults with type 2 diabetes.

Background: Substantial weight loss in people living with type 2 diabetes (T2D) can reduce the need for glucose-lowering medications while concurrently lowering glycemia below the diagnostic threshold for the disease. Furthermore, weight-loss interventions have also been demonstrated to improve aspects of underlying T2D pathophysiology related to ectopic fat in the liver and pancreatic beta-cell function. As such, the purpose of this secondary analysis was to explore the extent to which a low-carbohydrate and energy-restricted (LCER) diet intervention improves markers of beta-cell stress/function, liver fat accumulation, and metabolic related liver function in people with type 2 diabetes.

Methods: We conducted secondary analyses of blood samples from a larger pragmatic community-based parallel-group randomized controlled trial involving a 12-week pharmacist implemented LCER diet (Pharm-TCR: <50 g carbohydrates; ~850-1100 kcal/day; n = 20) versus treatment-as-usual (TAU; n = 16). Participants were people with T2D, using ≥ 1 glucose-lowering medication, and a body mass index of ≥ 30 kg/m2. Main outcomes were C-peptide to proinsulin ratio, circulating microRNA 375 (miR375), homeostatic model assessment (HOMA) beta-cell function (B), fatty liver index (FLI), hepatic steatosis index (HSI), HOMA insulin resistance (IR), and circulating fetuin-A and fibroblast growth factor 21 (FGF21). Data were analysed using linear regression with baseline as a covariate.

Results: There was no observed change in miR375 (p = 0.42), C-peptide to proinsulin ratio (p = 0.17) or HOMA B (p = 0.15). FLI and HSI were reduced by -25.1 (p < 0.0001) and - 4.9 (p < 0.0001), respectively. HOMA IR was reduced by -46.5% (p = 0.011). FGF21 was reduced by -161.2pg/mL (p = 0.035) with a similar tendency found for fetuin-A (mean difference: -16.7ng/mL; p = 0.11). These improvements in markers of hepatic function were accompanied by reductions in circulating metabolites linked to hepatic insulin resistance (e.g., diacylglycerols, ceramides) in the Pharm TCR group.

Conclusions: The Pharm-TCR intervention did not improve fasting indices of beta-cell stress; however, markers of liver fat accumulation and and liver function were improved, suggesting that a LCER diet can improve some aspects of the underlying pathophysiology of T2D.

Trial registration: Clinicaltrials.gov (NCT03181165).

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来源期刊
Nutrition & Metabolism
Nutrition & Metabolism 医学-营养学
CiteScore
8.40
自引率
0.00%
发文量
78
审稿时长
4-8 weeks
期刊介绍: Nutrition & Metabolism publishes studies with a clear focus on nutrition and metabolism with applications ranging from nutrition needs, exercise physiology, clinical and population studies, as well as the underlying mechanisms in these aspects. The areas of interest for Nutrition & Metabolism encompass studies in molecular nutrition in the context of obesity, diabetes, lipedemias, metabolic syndrome and exercise physiology. Manuscripts related to molecular, cellular and human metabolism, nutrient sensing and nutrient–gene interactions are also in interest, as are submissions that have employed new and innovative strategies like metabolomics/lipidomics or other omic-based biomarkers to predict nutritional status and metabolic diseases. Key areas we wish to encourage submissions from include: -how diet and specific nutrients interact with genes, proteins or metabolites to influence metabolic phenotypes and disease outcomes; -the role of epigenetic factors and the microbiome in the pathogenesis of metabolic diseases and their influence on metabolic responses to diet and food components; -how diet and other environmental factors affect epigenetics and microbiota; the extent to which genetic and nongenetic factors modify personal metabolic responses to diet and food compositions and the mechanisms involved; -how specific biologic networks and nutrient sensing mechanisms attribute to metabolic variability.
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