# Childhood Liver Disease Research Network (ChiLDReN) - UCSF (CC)

> **NIH NIH U01** · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · 2021 · $127,788

## Abstract

Project Summary/Abstract
UCSF is currently one of the ten original sites of the Childhood Liver Disease Research and Education
Network (ChiLDREN) now referred to as the Childhood Liver Disease Research Network (ChiLDReN). The
specific objectives of the ChiLDReN include but are not limited to: 1) Continuation of the ChiLDReN
prospective longitudinal studies of children to continue to provide data and biospecimens for ancillary studies
aimed at discovering new diagnostics, etiologic and treatment options for children both pre and post liver
transplantation.2) Identification and validation of non-invasive markers of liver disease in our ChiLDReN
patients including but not limited to new imaging modalities with the FORCE fibroscan machine. 3) Phase I/II
study of new agents to treat cholestasis in children. 4) Study of modifier genes in Alagille Syndrome and Alpha-
1-antitrypsin deficiency 5) Expansion to include other diseases of cholestasis in children with industry and
patient advocacy group support. 6) Continue to provide support for small pilot and demonstration projects
within the Network.7) Continue to provide education about pediatric liver diseases to the scientific and lay
communities through publications and the website.

## Key facts

- **NIH application ID:** 10200015
- **Project number:** 5U01DK062500-20
- **Recipient organization:** UNIVERSITY OF CALIFORNIA, SAN FRANCISCO
- **Principal Investigator:** PHILIP ROSENTHAL
- **Activity code:** U01 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2021
- **Award amount:** $127,788
- **Award type:** 5
- **Project period:** 2002-09-15 → 2024-05-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10200015

## Citation

> US National Institutes of Health, RePORTER application 10200015, Childhood Liver Disease Research Network (ChiLDReN) - UCSF (CC) (5U01DK062500-20). Retrieved via AI Analytics 2026-05-26 from https://api.ai-analytics.org/grant/nih/10200015. Licensed CC0.

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