# Clinical Trail 1

> **NIH NIH U54** · CINCINNATI CHILDRENS HOSP MED CTR · 2020 · $138,242

## Abstract

Project Summary/Abstract
This Consortium of Eosinophilic Gastrointestinal Researchers (CEGIR) study will enroll approximately 150
families to assess how SARS-COV-2 differentially affects children with Eosinophilic Gastrointestinal
Disorders (EGIDs) compared to children without these disorders. The proposed work is part of the larger
Human Epidemiology and Response to SARS-CoV-2 (HEROS) study that allows a comparison between
children with atopic conditions and children without those conditions. Although asthma has not been
identified as a clear risk factor for severe COVID-19 disease, there is evidence that children with asthma
and other atopic conditions have increased susceptibility to viral respiratory infections (Esquivel et
al, AJRCCM, PMC5649984) and that viral respiratory infections may result in worsening of underlying
airway disease (Jartti et al, J Allergy Clin Immunol, PMID 28987219). No data currently exist as to
whether this is true for SARS-CoV-2 infection or whether allergic airway disease could be
protective. Enrolled families will participate for 6 months completing surveys and biological sample
collections. These children and their families are already enrolled in the CEGIR NIH funded studies and
therefore will overcome many challenges for clinical study implementation. This proposed work
remains in scope to the parent award and is responsive to the NOT-AI-20-031.

## Key facts

- **NIH application ID:** 10242556
- **Project number:** 3U54AI117804-07S1
- **Recipient organization:** CINCINNATI CHILDRENS HOSP MED CTR
- **Principal Investigator:** GLENN T FURUTA
- **Activity code:** U54 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $138,242
- **Award type:** 3
- **Project period:** 2020-06-16 → 2022-08-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10242556

## Citation

> US National Institutes of Health, RePORTER application 10242556, Clinical Trail 1 (3U54AI117804-07S1). Retrieved via AI Analytics 2026-05-23 from https://api.ai-analytics.org/grant/nih/10242556. Licensed CC0.

---

*[NIH grants dataset](/datasets/nih-grants) · CC0 1.0*