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临床试验/NCT02931955
NCT02931955已完成不适用

Applying Systems Immunology to the Search for Personalized Biomarkers of Clinical Efficacy: Predicting the T Cell Activation Potential in Vivo From Resting T Cells of Patients

Luxembourg Institute of Health1 个研究点 分布在 1 个国家目标入组 50 人开始时间: 2016年8月最近更新:
适应症

试验速览

阶段
不适用
状态
已完成
入组人数
50
试验地点
1
主要终点
Predicting the effectiveness of immunotherapy against insect venom and pollens in allergic patients with use of gene expression networks.

研究概览

简要总结

Study Objective: Allergies affect up to 20% of the population of developed countries and can cause substantial individual disease burden. For some allergies, immunotherapeutic regimens ("hyposensitization") have been established, e.g. for insect venom allergies and pollen allergies. This project aims at identifying the T cell activation potential in vivo from resting T cells of patients undergoing immunotherapy (IT) via a systems biology approach. For the participants, it involves blood draws and stool collection as well as gathering some basic medical information. The participation takes one week for patients undergoing insect venom IT and three months for patients undergoing pollen IT. A control group without a clinical history of allergies is recruited. Blood and stool samples are collected in the same time frames as in allergic patients.

This study is a cooperation project between the Centre Hospitalier de Luxembourg (CHL), the Luxemburg Institute of Health (LIH), the University of Luxembourg and the Integrated Biobank of Luxemburg (IBBL).

详细描述

Summary of the study: Applying systems immunology to the search for personalized biomarkers of clinical efficacy: Predicting the T cell activation potential in vivo from resting T cells of patients.

Introduction Allergy affects more than 20% of the populations of most developed countries. The major allergic diseases, allergic rhinitis, asthma, food allergies and urticaria, are chronic, cause major disability, and are costly both to the individual and to the society (World Allergy Organisation (WAO) white book 2013). Besides occupational allergies, the most common allergies are caused by food, pollen, dust, mold, animal dander, insect sting, medications...Allergic phenomena are due to an exacerbated response of the immune system to antigens that are tolerated by non-allergic patients.

After exposure to antigens, naive CD4+ (cluster of differentiation 4) T cells can be differentiated in different subsets of T helper (Th) cells (Th1, Th2, Th9, Th17, Th22, Tfh) and induced suppressive regulatory T cells characterized by different cytokine expression patterns, transcription factors and other surface markers, which will orchestrate adaptive and innate immune responses to these stimuli. Th2 cells are central players in all the various forms of Immunoglobulin E (IgE)-associated allergic diseases and are thus regarded as the most dominant T cell subset sustaining the allergic response. Upon antigen uptake and processing by antigen-presenting cells, CD4+ T cells are polarized towards a Th2 phenotype, leading to the expression of Th2 cell-associated cytokines such as Interleukin (IL)-4, -5, -9, -13, switching B cell response toward IgE production (sensitization or early phase). Allergen-specific IgE bind to a high-affinity receptor (FcεRI) of innate immune cells including basophils and mast cells, triggering the release of anaphylactogenic mediators (cytokines, chemokines, histamine, heparin, serotonin and proteases) responsible for inflammatory cell recruitment and allergic symptoms (effector or late phase). Identifying networks of genes expressed in resting and activated Th2 cells from allergic patients would help distinguish gene candidates predicting immune tolerance to allergens.

Allergies are diseases involving many cell subsets. The specific reactivities and contributions to the clinical picture are closely interdependent and not fully deciphered yet. The interplay between the different actors of the cellular immune system is further complexified by the existence of the commensal intestinal flora, also called the microbiota. Gut microbiota is partially under supervision of the immune system, and dysregulations or changes in the composition of the microbiota, for example due to antibiotics uptake during childhood and /or different eating habits, may impact adaptative and innate immune functions. Characterization of the gut microbiota of human hosts undergoing immunotherapy might be of high interest to delineate interactions between microbiota and adaptive immune system.

Despite substantial improvements in medications relieving daily allergy symptoms, a percentage of patients still experience uncontrolled severe symptoms. For these patients, strictly avoiding the allergen and keeping emergency medications within reach are the best recommendations so far, and the burden of living with allergy ultimately results in psychosocial, health, occupational and economic problems by impacting public health costs. In these cases, the best and feasible solution to improve quality of life is to apply an immunotherapeutic approach to induce allergen tolerance.

研究设计

研究类型
Observational
观察模型
Cohort
时间视角
Prospective

入排标准

年龄范围
18 Years 至 —(Adult, Older Adult)
性别
All
接受健康志愿者

入选标准

  • patients undergoing subcutaneous immunotherapy for insect venom or pollen allergy

排除标准

  • patients < 18 years
  • medical conditions preventing patients in participating in the immunotherapy
  • lack of consent or lack to give consent to participate in the study

结局指标

主要结局

Predicting the effectiveness of immunotherapy against insect venom and pollens in allergic patients with use of gene expression networks.

时间窗: Through study completion, an average of 1.5 years/April 2018

This study will allow to predict the T cell activation potential (by evaluating gene expression networks) in vivo before start of immunotherapy for insect venom or pollen allergy meaning that the investigators will be able to predict which patients will profit from standard immunotherapy and which patients will need to receive altered immunotherapy strategies (i.e. higher doses, longer maintenance). As this is an observational pilot study the investigators define this as outcome measure.

次要结局

未报告次要终点

研究者

申办方类型
Other Gov
责任方
Principal Investigator
主要研究者

Sebastian Bode, MD

Clinician Scientist

Luxembourg Institute of Health

研究点 (1)

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