Epitope-based precision immunotherapy of Type 1 diabetes.
Epitope-based precision immunotherapy of Type 1 diabetes.
复制标题
DOI：
10.1080/21645515.2022.2154098
复制
发表时间：
2023-12-31
影响因子：
4.8
通讯作者：
中科院分区：
文献类型：
--
作者：
抗原特异性免疫疗法（ASITs）解决了治疗自身免疫性疾病的重要临床需求。然而，1型糖尿病是一种异质性疾病，其患者特征影响ASITs的反应性。精准医疗不仅针对疾病相关的T细胞群，还针对特定的患者群体，是实现有效治疗的新目标。hla限制性肽作为抗原比蛋白质具有优势，然而，抗原特异性T细胞的分析方法需要提高灵敏度、深度和通量，以促进表位的选择。递送方法是高度多样化的，说明了许多相关抗原呈递细胞群和解剖位置可以靶向耐受诱导的方法。抗原呈递的持久性在促进持久抗原特异性耐受中的作用需要进一步研究。根据ASIT试验的结果，该领域正朝着使用患者特异性变异来提高疗效的方向发展，但在为T1D患者群体提供更有效、更安全的治疗方法的道路上仍然存在挑战。
Antigen-specific immunotherapies (ASITs) address important clinical needs in treating autoimmune diseases. However, Type 1 diabetes is a heterogeneous disease wherein patient characteristics influence responsiveness to ASITs. Targeting not only disease-relevant T cell populations, but also specific groups of patients using precision medicine is a new goal toward achieving effective treatment. HLA-restricted peptides provide advantages over protein as antigens, however, methods for profiling antigen-specific T cells need to improve in sensitivity, depth, and throughput to facilitate epitope selection. Delivery approaches are highly diverse, illustrating the many ways relevant antigen-presenting cell populations and anatomical locations can be targeted for tolerance induction. The role of persistence of antigen presentation in promoting durable antigen-specific tolerance requires further investigation. Based on the outcome of ASIT trials, the field is moving toward using patient-specific variations to improve efficacy, but challenges still lie on the path to delivering more effective and safer treatment to the T1D patient population.
登录
查看更多内容
DOI：
10.1126/science.aad2791
发表时间：
2016-02-12
期刊：
Science (New York, N.Y.)
影响因子：
--
作者：
Delong T;Wiles TA;Baker RL;Bradley B;Barbour G;Reisdorph R;Armstrong M;Powell RL;Reisdorph N;Kumar N;Elso CM;DeNicola M;Bottino R;Powers AC;Harlan DM;Kent SC;Mannering SI;Haskins K
通讯作者：
Haskins K
影响因子：
5.5
作者：
通讯作者：
--
影响因子：
82.9
作者：
通讯作者：
--
影响因子：
17.1
作者：
Akbarpour, Mahzad;Goudy, Kevin S.;Roncarolo, Maria Grazia
通讯作者：
Roncarolo, Maria Grazia
影响因子：
64.8
作者：
Clemente-Casares, Xavier;Blanco, Jesus;Santamaria, Pere
通讯作者：
Santamaria, Pere