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First-in-human, double-blind, randomized phase 1b study of peptide immunotherapy IMCY-0098 in new-onset type 1 diabetes: an exploratory analysis of immune biomarkers
by
Kindermans, Martin
, Carlier, Vincent
, Bovy, Nicolas
, Parmentier, Frédéric
, Boitard, Christian
, Vanderelst, Luc
, Van Mechelen, Marcelle
, Achenbach, Peter
, Vandepapelière, Pierre
, Van Rampelbergh, Jean
, Leslie, Richard David
in
Adolescent
/ Adult
/ Analysis
/ Antigens
/ Artificial intelligence
/ Beta cells
/ Biological markers
/ Biomarkers
/ Biomedicine
/ Care and treatment
/ CD4 antigen
/ CD8 antigen
/ Cell activation
/ Cells
/ Clinical trials
/ Data analysis
/ Development and progression
/ Diabetes
/ Diabetes mellitus (insulin dependent)
/ Diabetes Mellitus, Type 1 - drug therapy
/ Diabetes Mellitus, Type 1 - immunology
/ Diabetes therapy
/ Diagnosis
/ Disease
/ Double-Blind Method
/ Drug dosages
/ Effectiveness
/ Effector cells
/ Expected values
/ Exploratory analysis
/ Female
/ Flow cytometry
/ Haplotypes
/ Health services
/ Histocompatibility antigen HLA
/ Histocompatibility antigens
/ HLA histocompatibility antigens
/ Humans
/ Hypotheses
/ Hypothesis testing
/ Immune biomarker machine learning
/ Immune response
/ Immune system
/ Immunological memory
/ Immunological tolerance
/ Immunotherapy
/ Immunotherapy - methods
/ Insulin
/ Learning algorithms
/ Lymphocytes
/ Lymphocytes T
/ Machine learning
/ Male
/ Medical research
/ Medicine
/ Medicine & Public Health
/ Medicine, Experimental
/ Memory cells
/ Methods
/ Middle Aged
/ Parameter identification
/ Patient outcomes
/ Patients
/ Peptides
/ Peptides - administration & dosage
/ Peptides - therapeutic use
/ Protective antigen
/ Research Article
/ Statistical analysis
/ T cells
/ Testing
/ Treatment Outcome
/ Type 1 diabetes
/ Unsupervised learning
/ Young Adult
2024
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First-in-human, double-blind, randomized phase 1b study of peptide immunotherapy IMCY-0098 in new-onset type 1 diabetes: an exploratory analysis of immune biomarkers
by
Kindermans, Martin
, Carlier, Vincent
, Bovy, Nicolas
, Parmentier, Frédéric
, Boitard, Christian
, Vanderelst, Luc
, Van Mechelen, Marcelle
, Achenbach, Peter
, Vandepapelière, Pierre
, Van Rampelbergh, Jean
, Leslie, Richard David
in
Adolescent
/ Adult
/ Analysis
/ Antigens
/ Artificial intelligence
/ Beta cells
/ Biological markers
/ Biomarkers
/ Biomedicine
/ Care and treatment
/ CD4 antigen
/ CD8 antigen
/ Cell activation
/ Cells
/ Clinical trials
/ Data analysis
/ Development and progression
/ Diabetes
/ Diabetes mellitus (insulin dependent)
/ Diabetes Mellitus, Type 1 - drug therapy
/ Diabetes Mellitus, Type 1 - immunology
/ Diabetes therapy
/ Diagnosis
/ Disease
/ Double-Blind Method
/ Drug dosages
/ Effectiveness
/ Effector cells
/ Expected values
/ Exploratory analysis
/ Female
/ Flow cytometry
/ Haplotypes
/ Health services
/ Histocompatibility antigen HLA
/ Histocompatibility antigens
/ HLA histocompatibility antigens
/ Humans
/ Hypotheses
/ Hypothesis testing
/ Immune biomarker machine learning
/ Immune response
/ Immune system
/ Immunological memory
/ Immunological tolerance
/ Immunotherapy
/ Immunotherapy - methods
/ Insulin
/ Learning algorithms
/ Lymphocytes
/ Lymphocytes T
/ Machine learning
/ Male
/ Medical research
/ Medicine
/ Medicine & Public Health
/ Medicine, Experimental
/ Memory cells
/ Methods
/ Middle Aged
/ Parameter identification
/ Patient outcomes
/ Patients
/ Peptides
/ Peptides - administration & dosage
/ Peptides - therapeutic use
/ Protective antigen
/ Research Article
/ Statistical analysis
/ T cells
/ Testing
/ Treatment Outcome
/ Type 1 diabetes
/ Unsupervised learning
/ Young Adult
2024
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First-in-human, double-blind, randomized phase 1b study of peptide immunotherapy IMCY-0098 in new-onset type 1 diabetes: an exploratory analysis of immune biomarkers
by
Kindermans, Martin
, Carlier, Vincent
, Bovy, Nicolas
, Parmentier, Frédéric
, Boitard, Christian
, Vanderelst, Luc
, Van Mechelen, Marcelle
, Achenbach, Peter
, Vandepapelière, Pierre
, Van Rampelbergh, Jean
, Leslie, Richard David
in
Adolescent
/ Adult
/ Analysis
/ Antigens
/ Artificial intelligence
/ Beta cells
/ Biological markers
/ Biomarkers
/ Biomedicine
/ Care and treatment
/ CD4 antigen
/ CD8 antigen
/ Cell activation
/ Cells
/ Clinical trials
/ Data analysis
/ Development and progression
/ Diabetes
/ Diabetes mellitus (insulin dependent)
/ Diabetes Mellitus, Type 1 - drug therapy
/ Diabetes Mellitus, Type 1 - immunology
/ Diabetes therapy
/ Diagnosis
/ Disease
/ Double-Blind Method
/ Drug dosages
/ Effectiveness
/ Effector cells
/ Expected values
/ Exploratory analysis
/ Female
/ Flow cytometry
/ Haplotypes
/ Health services
/ Histocompatibility antigen HLA
/ Histocompatibility antigens
/ HLA histocompatibility antigens
/ Humans
/ Hypotheses
/ Hypothesis testing
/ Immune biomarker machine learning
/ Immune response
/ Immune system
/ Immunological memory
/ Immunological tolerance
/ Immunotherapy
/ Immunotherapy - methods
/ Insulin
/ Learning algorithms
/ Lymphocytes
/ Lymphocytes T
/ Machine learning
/ Male
/ Medical research
/ Medicine
/ Medicine & Public Health
/ Medicine, Experimental
/ Memory cells
/ Methods
/ Middle Aged
/ Parameter identification
/ Patient outcomes
/ Patients
/ Peptides
/ Peptides - administration & dosage
/ Peptides - therapeutic use
/ Protective antigen
/ Research Article
/ Statistical analysis
/ T cells
/ Testing
/ Treatment Outcome
/ Type 1 diabetes
/ Unsupervised learning
/ Young Adult
2024
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First-in-human, double-blind, randomized phase 1b study of peptide immunotherapy IMCY-0098 in new-onset type 1 diabetes: an exploratory analysis of immune biomarkers
Journal Article
First-in-human, double-blind, randomized phase 1b study of peptide immunotherapy IMCY-0098 in new-onset type 1 diabetes: an exploratory analysis of immune biomarkers
2024
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Overview
Background
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.
Methods
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.
Results
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.
Conclusions
Promising preliminary efficacy results support the design of a phase 2 study of IMCY-0098 in patients with recent-onset T1D.
Trial registration
ClinicalTrials.gov NCT03272269; EudraCT: 2016–003514-27.
Publisher
BioMed Central,BioMed Central Ltd,Springer Nature B.V,BMC
Subject
/ Adult
/ Analysis
/ Antigens
/ Cells
/ Diabetes
/ Diabetes mellitus (insulin dependent)
/ Diabetes Mellitus, Type 1 - drug therapy
/ Diabetes Mellitus, Type 1 - immunology
/ Disease
/ Female
/ Histocompatibility antigen HLA
/ HLA histocompatibility antigens
/ Humans
/ Immune biomarker machine learning
/ Insulin
/ Male
/ Medicine
/ Methods
/ Patients
/ Peptides
/ Peptides - administration & dosage
/ T cells
/ Testing
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