Khoramipour Kayvan, Rajizadeh Mohammad Amin, Khaksari Mohammad, Aminzadeh Mansour, Crespo-Escobar Paula, Santos-Lozano Alejandro, Arjmand Mohammad
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.
J Physiol Biochem. 2025 May 16. doi: 10.1007/s13105-025-01085-8.
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.
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。