Plasma sphingolipids predict advanced liver fibrosis development in patients with type 2 diabetes.

IF 5.7 2区 医学 Q1 ENDOCRINOLOGY & METABOLISM
Sarah Béland-Bonenfant, Damien Denimal, Jean-Paul Pais-de-Barros, Hélène Choubley, Alexia Rouland, Isabelle Simoneau, Laurence Duvillard, Ludwig-Serge Aho-Glélé, Benjamin Bouillet, Jean-Michel Petit, Bruno Vergès
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Abstract

Aims: Patients with type 2 diabetes (T2D) are at an elevated risk of developing metabolic dysfunction-associated steatotic liver disease (MASLD), with a significant likelihood of progression to advanced liver fibrosis (AF)-a stage linked to adverse outcomes. Considering the critical role of lipids in the pathophysiology of MASLD and AF, we aimed to identify lipidomic biomarkers that could predict the development of AF in individuals with T2D.

Materials and methods: We included 67 T2D patients, followed for a mean duration of 10.2 ± 3.9 years. We measured baseline plasma concentrations of 148 molecular species of phospholipids, sphingolipids, and free fatty acids. We assessed the development of AF during the follow-up period using liver stiffness measurement (AF if ≥8.0 kPa). Patients who developed ultrasonographic signs of cirrhosis were classified as having AF.

Results: AF developed in 14 patients (20.9%) during the follow-up period. Univariate analysis revealed that baseline plasma levels of two sphingolipids among 148 lipid species assessed, namely d18:1/18:0 sphingomyelin and d18:0/20:0 dihydroceramide, were significantly predictive of AF development. Machine-learning multivariate approaches identified baseline plasma levels of d18:0/20:0 dihydroceramide and d18:1/18:0 sphingomyelin as the most predictive variables for AF development, independently of follow-up duration, baseline body mass index, and baseline levels of transaminases, gamma-glutamyl transferase, and the fibrosis-4 index.

Conclusions: Baseline levels of two plasma sphingolipid species are independent predictors of AF development in patients with T2D. These findings could help identify T2D patients at elevated risk of adverse hepatic and extrahepatic outcomes, potentially allowing for new targeted therapeutic interventions.

血浆鞘脂预测2型糖尿病患者晚期肝纤维化发展
目的:2型糖尿病(T2D)患者发生代谢功能障碍相关脂肪变性肝病(MASLD)的风险升高,且极有可能发展为晚期肝纤维化(AF),这一阶段与不良结局相关。考虑到脂质在MASLD和房颤病理生理中的关键作用,我们旨在确定能够预测T2D患者房颤发展的脂质组学生物标志物。材料和方法:我们纳入67例T2D患者,平均随访时间为10.2±3.9年。我们测量了148种磷脂、鞘脂和游离脂肪酸分子的基线血浆浓度。我们通过肝硬度测量(≥8.0 kPa的房颤)评估随访期间房颤的发展情况。结果:随访期间,14例(20.9%)患者出现房颤。单因素分析显示,在评估的148种脂质中,两种鞘脂的基线血浆水平,即d18:1/18:0鞘磷脂和d18:0/20:0二氢神经酰胺,可显著预测房颤的发展。机器学习多变量方法确定d18:0/20:0二氢神经酰胺和d18:1/18:0鞘磷脂的基线血浆水平是房颤发展的最具预测性的变量,独立于随访时间、基线体重指数、转氨酶、γ -谷氨酰转移酶和纤维化-4指数的基线水平。结论:两种血浆鞘脂的基线水平是T2D患者房颤发展的独立预测因子。这些发现可以帮助识别有肝脏和肝外不良预后风险升高的T2D患者,潜在地允许新的靶向治疗干预。
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来源期刊
Diabetes, Obesity & Metabolism
Diabetes, Obesity & Metabolism 医学-内分泌学与代谢
CiteScore
10.90
自引率
6.90%
发文量
319
审稿时长
3-8 weeks
期刊介绍: Diabetes, Obesity and Metabolism is primarily a journal of clinical and experimental pharmacology and therapeutics covering the interrelated areas of diabetes, obesity and metabolism. The journal prioritises high-quality original research that reports on the effects of new or existing therapies, including dietary, exercise and lifestyle (non-pharmacological) interventions, in any aspect of metabolic and endocrine disease, either in humans or animal and cellular systems. ‘Metabolism’ may relate to lipids, bone and drug metabolism, or broader aspects of endocrine dysfunction. Preclinical pharmacology, pharmacokinetic studies, meta-analyses and those addressing drug safety and tolerability are also highly suitable for publication in this journal. Original research may be published as a main paper or as a research letter.
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