Phenotypic patterns of metabolic dysfunction-associated steatotic liver disease in type 2 diabetes: The impact of insulin.

IF 4.4 3区 医学 Q1 MEDICINE, GENERAL & INTERNAL
Queralt Martín-Saladich, Rafael Simó, Andreea Ciudin, Julia Baguña, Clara Ramirez-Serra, Santiago Aguadé-Bruix, Albert Roque, Maria N Pizzi, Hug Cuéllar, Nuria Roson-Gradaille, Miguel A González Ballester, Juan M Pericàs, José Raul Herance
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引用次数: 0

Abstract

Background: Metabolic dysfunction-associated steatotic liver disease (MASLD) often leads to hepatic insulin resistance (IR), yet its link to liver-specific insulin-mediated glucose uptake (IGLU) in type 2 diabetes (T2D) remains unclear. We aimed to explore this MASLD-T2D relationship, addressing organ-specific IR for personalized management and risk prevention.

Methods: This cross-sectional study included 41 T2D participants enrolled in a clinical trial (NCT02248311) undergoing biochemical analyses, anthropometric measurements and [18F]FDG-PET/CT imaging before and after hyperinsulinemic euglycemic clamp (HEC).

Findings: Two MASLD-T2D phenotypes were identified according to their IGLU patterns, that is, with low (HepGluc[+], n = 21) and with high (HepGluc[-], n = 20) hepatic response to insulin. HepGluc[+] participants exhibited increased systemic IR (HOMA-IR, p = .012), inflammation (interleukin 6, p = .005); alanine and aspartate aminotransferase ALT, AST (p = .015 and p = .007); gamma-glutamyl transferase GGT (p = .019) and steatosis markers (liver volume, p = .006); NAFLD liver fat score, p = .0017; hepatic steatosis index, p = .02; fatty liver index, p = .008; liver stiffness measurements (LSM) (p = .049). No statistical differences in serum-based liver fibrosis scores were shown. To identify MASLD-T2D phenotypes in a friendly manner, the MASLD-T2D score based on support vector machines was developed using AST, ALT and GGT (AUC = .83), as well as with MASLD indices including LSM and NAFLD liver fat score (AUC = .90).

Implications: Two new MASLD-T2D phenotypes have been identified, HepGluc[+] and HepGluc[-], according to IGLU patterns, with HepGluc[+] being more deleterious due to higher systemic IR, steatosis and inflammation. Phenotypes can be identified using a new function, the MASLD-T2D score.

2型糖尿病代谢功能障碍相关脂肪变性肝病的表型模式:胰岛素的影响
背景:代谢功能障碍相关的脂肪变性肝病(MASLD)常导致肝脏胰岛素抵抗(IR),但其与2型糖尿病(T2D)中肝脏特异性胰岛素介导的葡萄糖摄取(IGLU)的关系尚不清楚。我们的目的是探索MASLD-T2D的关系,解决器官特异性IR的个性化管理和风险预防。方法:本横断面研究纳入了41名T2D参与者,他们参加了一项临床试验(NCT02248311),在高胰岛素正糖钳夹(HEC)前后进行了生化分析、人体测量和[18F]FDG-PET/CT成像。结果:根据其IGLU模式鉴定出MASLD-T2D两种表型,即胰岛素肝反应低(HepGluc[+], n = 21)和高(HepGluc[-], n = 20)。HepGluc[+]参与者表现出增加的全身IR (HOMA-IR, p = 0.012),炎症(白细胞介素6,p = 0.005);丙氨酸和天冬氨酸转氨酶ALT, AST (p =。015和p = .007);γ -谷氨酰转移酶GGT (p = 0.019)和脂肪变性标志物(肝体积,p = 0.006);NAFLD肝脂肪评分,p = 0.0017;肝脂肪变性指数,p = .02;脂肪肝指数,p = 0.008;肝脏硬度测量(LSM) (p = 0.049)。血清肝纤维化评分无统计学差异。为了更友好地识别MASLD- t2d表型,我们利用AST、ALT和GGT (AUC = .83)以及LSM和NAFLD肝脂肪评分(AUC = .90)等MASLD指标,建立了基于支持向量机的MASLD- t2d评分。根据IGLU模式,已经确定了两种新的MASLD-T2D表型,HepGluc[+]和HepGluc[-],其中HepGluc[+]由于更高的全身IR,脂肪变性和炎症而更有害。表型可以通过一种新的功能——MASLD-T2D评分来识别。
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来源期刊
CiteScore
9.50
自引率
3.60%
发文量
192
审稿时长
1 months
期刊介绍: EJCI considers any original contribution from the most sophisticated basic molecular sciences to applied clinical and translational research and evidence-based medicine across a broad range of subspecialties. The EJCI publishes reports of high-quality research that pertain to the genetic, molecular, cellular, or physiological basis of human biology and disease, as well as research that addresses prevalence, diagnosis, course, treatment, and prevention of disease. We are primarily interested in studies directly pertinent to humans, but submission of robust in vitro and animal work is also encouraged. Interdisciplinary work and research using innovative methods and combinations of laboratory, clinical, and epidemiological methodologies and techniques is of great interest to the journal. Several categories of manuscripts (for detailed description see below) are considered: editorials, original articles (also including randomized clinical trials, systematic reviews and meta-analyses), reviews (narrative reviews), opinion articles (including debates, perspectives and commentaries); and letters to the Editor.
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