Suppr超能文献

高强度间歇训练对2型糖尿病大鼠肝脏组织代谢损伤的影响:基于代谢组学的方法

Effects of high-intensity interval training on metabolic impairments in liver tissue of rats with type 2 diabetes: a metabolomics-based approach.

作者信息

Khoramipour Kayvan, Rajizadeh Mohammad Amin, Khaksari Mohammad, Aminzadeh Mansour, Crespo-Escobar Paula, Santos-Lozano Alejandro, Arjmand Mohammad

机构信息

i+HeALTH Strategic Research Group, Department of Health Sciences, Miguel de Cervantes European University (UEMC), Valladolid, 47012, Spain.

Physiology Research Center, Institute of Neuropharmacology, Kerman University of Medical Sciences, Kerman, Iran.

出版信息

J Physiol Biochem. 2025 May 16. doi: 10.1007/s13105-025-01085-8.

Abstract

Our aim was to study the metabolic effects of eight weeks of high-intensity interval training (HIIT) on the liver of rats with type 2 diabetes (T2D) using untargeted metabolomics. Twenty male Wistar rats, were divided into four groups (n = 5 per group): control (CTL), type 2 diabetes (DB), HIIT (EX), and type 2 diabetes + HIIT (DTX). A two months of a high-fat diet followed by a single dose of streptozotocin (35 mg/kg body weight) was used to induce T2D. Animals in the EX and DTX groups were trained for eight weeks (5 times per week, 4-10 running intervals at 80-100% of their maximum velocity). Metabolomic data were collected using proton nuclear magnetic resonance (¹H-NMR) to assess metabolic changes in the liver after training. Data were then pre-processed using ProMetab (MATLAB) for baseline correction, normalisation and binning. Fasting blood glucose (FBG) levels were analysed using a repeated-measures mixed ANOVA [i.e., time as the within-subject factor (Baseline - Month 0, Post-induction - Month 2, and Post-intervention - Month 4) and gruop (CTL, DB, HIIT, DTX) as the between-subject factor]. A one-way ANOVA with Tukey's post hoc test (p < 0.05) was applied to assess differences in Homeostatic Model Assessment for Insulin Resistance (HOMA-IR). Multivariate analysis - using sparse partial least squares discriminant analysis (sPLS-DA) - was performed to identify key metabolites, followed by pathway analysis (MetaboAnalyst) to determine significantly affected metabolic pathways. DB group showed higher HOMA-IR than CTL and DTX groups (p < 0.05). Furthermore, distinct clustering patterns was shown for metabolites by multivariate analysis. Key altered metabolic pathways included valine, leucine, and isoleucine biosynthesis; glutathione metabolism; pantothenate and coenzyme A biosynthesis; fructose and mannose metabolism; glycine, serine, and threonine metabolism; cysteine and methionine metabolism; arginine biosynthesis; tyrosine metabolism; histidine metabolism; beta-alanine metabolism; propanoate metabolism; glycolysis/gluconeogenesis; phenylalanine, tyrosine, and tryptophan biosynthesis; arginine and proline metabolism; and thiamine metabolism. These results suggest that eight weeks of HIIT may reverse metabolic changes induced by T2D in the rat liver, potentially contributing to reduced FBG and HOMA-IR levels. Clinical trial number: Not applicable.

摘要

我们的目的是使用非靶向代谢组学研究八周高强度间歇训练(HIIT)对2型糖尿病(T2D)大鼠肝脏的代谢影响。将20只雄性Wistar大鼠分为四组(每组n = 5):对照组(CTL)、2型糖尿病组(DB)、HIIT组(EX)和2型糖尿病 + HIIT组(DTX)。采用高脂饮食两个月后单次注射链脲佐菌素(35 mg/kg体重)诱导T2D。EX组和DTX组的动物进行八周训练(每周5次,以其最大速度的80 - 100%进行4 - 10次跑步间歇)。使用质子核磁共振(¹H-NMR)收集代谢组学数据,以评估训练后肝脏中的代谢变化。然后使用ProMetab(MATLAB)对数据进行预处理,以进行基线校正、归一化和分箱。使用重复测量混合方差分析[即时间作为组内因素(基线 - 第0个月、诱导后 - 第2个月和干预后 - 第4个月),组(CTL、DB、HIIT、DTX)作为组间因素]分析空腹血糖(FBG)水平。应用单因素方差分析和Tukey事后检验(p < 0.05)评估胰岛素抵抗稳态模型评估(HOMA-IR)的差异。进行多变量分析 - 使用稀疏偏最小二乘判别分析(sPLS-DA) - 以识别关键代谢物,随后进行通路分析(MetaboAnalyst)以确定受显著影响的代谢通路。DB组的HOMA-IR高于CTL组和DTX组(p < 0.05)。此外,多变量分析显示代谢物具有明显的聚类模式。关键的代谢途径改变包括缬氨酸、亮氨酸和异亮氨酸生物合成;谷胱甘肽代谢;泛酸和辅酶A生物合成;果糖和甘露糖代谢;甘氨酸、丝氨酸和苏氨酸代谢;半胱氨酸和甲硫氨酸代谢;精氨酸生物合成;酪氨酸代谢;组氨酸代谢;β-丙氨酸代谢;丙酸代谢;糖酵解/糖异生;苯丙氨酸、酪氨酸和色氨酸生物合成;精氨酸和脯氨酸代谢;以及硫胺素代谢。这些结果表明,八周的HIIT可能逆转T2D诱导的大鼠肝脏代谢变化,可能有助于降低FBG和HOMA-IR水平。临床试验编号:不适用。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验