Ex-vivo Confocal Imaging and Proteomic Profiling to Determine Treatment Response in Children With IBD

Trial statusNot yet recruiting
Trial phaseNot applicable
Trial typeInterventional
Biological sexAll
Age2-21
SponsorCook Children's Health Care System

About this trial

This study aims to test the overall hypothesis that the membrane tissue binding capacity of cytokines in the biopsied tissue of patients with Inflammatory Bowel Disease (IBD) is predictive of/strongly correlated to clinical response/outcomes observed.

The key questions under investigation are:

Aim 1: To assess the fluorescent signal intensity at baseline (control antibody with control biopsy and control antibody with IBD biopsy).

Aim 2: To characterize the cellular landscape by surveying surface markers using bar-coded antibodies and performing gene expression profiling on every cell within inflamed tissue of patients with IBD.

Aim 3: Develop algorithm using artificial intelligence to predict responders versus non-responders and to further subclassify IBD patients using phenotype data.

Eligibility criteria

This trial does not accept healthy volunteers

Qualifiers

None

Disqualifiers

Those with previous allergy to fluorescein

Pregnant and breastfeeding patients

Trial design

Design model

Single group

Treatments tested in this trial

  • Confocal Laser Endomicroscopy

    Device

    Patients will undergo Esophagogastroduodenoscopy (EGD) and/or Ileocolonoscopy (IC) EGD with CLE as per standard of care. Each participant will have 3-4 mucosal biopsies taken from the terminal ileum, rectosigmoid and cecum, ideally from the most affected areas of accessible segment. Ex vivo staining of biopsied tissue will be expanded to include FITC-labeled antibodies to cytokines IL12 and IL12/IL23 and to cytokine receptors IL12R and IL23R and possibly other cytokines, receptors and adhesion molecules. All biopsies tested for membrane bound antibodies will be done using CLE technology with artificial intelligence (AI). The cellular landscape will be characterized by surveying surface markers using bar-coded antibodies and performing gene expression profiling on every cell within inflamed tissue of patients with IBD. We will develop algorithm using AI to predict responders versus non-responders and to further subclassify IBD patients using phenotype data.

Treatment groups

40 Participants
are divided into 1 treatment group
Group A: InterventionExperimental treatment 1 intervention

Trial outcomes

Primary outcomes

1

Number of FITC tagged antibodies

Count of FITC tagged antibodies that maintain target specificity using fluorescence microplate reader. Used to establish baseline for fluorescent signal using FITC-tagged control antibody and control biopsy and IBD biopsy.

Time frame
Baseline

Secondary outcomes

Other outcomes

Sponsors and contacts

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This trial is not recruiting at the moment. You can still explore other options: