Imcyse S.A, Avenue Pré-Aily 14, Liège, 4031, Belgium.
Institute of Diabetes Research, Helmholtz Zentrum München, German Research Center for Environmental Health, Munich-Neuherberg, Germany.
BMC Med. 2024 Jun 21;22(1):259. doi: 10.1186/s12916-024-03476-y.
IMCY-0098, a synthetic peptide developed to halt disease progression via elimination of key immune cells in the autoimmune cascade, has shown a promising safety profile for the treatment of type 1 diabetes (T1D) in a recent phase 1b trial. This exploratory analysis of data from that trial aimed to identify the patient biomarkers at baseline associated with a positive response to treatment and examined the associations between immune response parameters and clinical efficacy endpoints (as surrogates for mechanism of action endpoints) using an artificial intelligence-based approach of unsupervised explainable machine learning.
We conducted an exploratory analysis of data from a phase 1b, dose-escalation, randomized, placebo-controlled study of IMCY-0098 in patients with recent-onset T1D. Here, a panel of markers of T cell activation, memory T cells, and effector T cell response were analyzed via descriptive statistics. Artificial intelligence-based analyses of associations between all variables, including immune responses and clinical responses, were performed using the Knowledge Extraction and Management (KEM) v 3.6.2 analytical platform.
The relationship between all available patient data was investigated using unsupervised machine learning implemented in the KEM environment. Of 15 associations found for the dose C group (450 μg subcutaneously followed by 3 × 225 μg subcutaneously), seven involved human leukocyte antigen (HLA) type, all of which identified improvement/absence of worsening of disease parameters in DR4 patients and worsening/absence of improvement in DR4 patients. This association with DR4 and non-DR3 was confirmed using the endpoints normalized area under the curve C-peptide from mixed meal tolerance tests where presence of DR4 HLA haplotype was associated with an improvement in both endpoints. Exploratory immune analysis showed that IMCY-0098 dose B (150 μg subcutaneously followed by 3 × 75 μg subcutaneously) and dose C led to an increase in presumed/potentially protective antigen-specific cytolytic CD4 T cells and a decrease in pathogenic CD8 T cells, consistent with the expected mechanism of action of IMCY-0098. The analysis identified significant associations between immune and clinical responses to IMCY-0098.
Promising preliminary efficacy results support the design of a phase 2 study of IMCY-0098 in patients with recent-onset T1D.
ClinicalTrials.gov NCT03272269; EudraCT: 2016-003514-27.
IMCY-0098 是一种合成肽,旨在通过消除自身免疫级联反应中的关键免疫细胞来阻止疾病进展,在最近的 1b 期试验中,该药在治疗 1 型糖尿病(T1D)方面显示出了良好的安全性。本探索性分析旨在确定基线时与治疗反应呈阳性相关的患者生物标志物,并使用基于人工智能的无监督可解释机器学习方法,研究免疫反应参数与临床疗效终点(作为作用机制终点的替代指标)之间的关联。
我们对最近诊断为 T1D 的患者进行了 IMCY-0098 的 1b 期、剂量递增、随机、安慰剂对照研究的数据进行了探索性分析。在此,通过描述性统计分析了 T 细胞激活标志物、记忆 T 细胞和效应 T 细胞反应的标志物。使用 Knowledge Extraction and Management (KEM) v 3.6.2 分析平台对所有变量(包括免疫反应和临床反应)之间的关联进行了基于人工智能的分析。
使用 KEM 环境中实施的无监督机器学习方法研究了所有可用患者数据之间的关系。在剂量 C 组(450μg 皮下注射,然后 3×225μg 皮下注射)发现的 15 种关联中,有 7 种与人类白细胞抗原(HLA)类型有关,所有这些关联都确定了在 DR4 患者中改善/无疾病参数恶化,而在 DR4 患者中恶化/无改善。在混合餐耐量试验中,通过归一化曲线下面积 C 肽的终点证实了与 DR4 和非 DR3 的这种关联,其中存在 DR4 HLA 单倍型与两个终点的改善相关。探索性免疫分析显示,IMCY-0098 剂量 B(150μg 皮下注射,然后 3×75μg 皮下注射)和剂量 C 导致假定/潜在保护性抗原特异性细胞毒性 CD4 T 细胞增加,致病性 CD8 T 细胞减少,与 IMCY-0098 的预期作用机制一致。该分析确定了 IMCY-0098 的免疫和临床反应之间的显著关联。
有希望的初步疗效结果支持在最近诊断为 T1D 的患者中开展 IMCY-0098 的 2 期研究。
ClinicalTrials.gov NCT03272269;EudraCT:2016-003514-27。