# Omics Data Generation Center (ODGC) for the Acute to Chronic Pain Signatures (A2CPS) Program

> **NIH NIH U54** · UNIVERSITY OF CALIFORNIA, SAN DIEGO · 2021 · $973,999

## Abstract

Omics Data Generation Center (ODGC) for the Acute to Chronic Pain Signatures (A2CPS) Program
OVERALL
PROJECT SUMMARY
Chronic pain is a major health concern and one of the most common reasons adults seek medical care. It is
associated with substantial morbidity linked to reduced quality of life, restricted mobility, depression, and opioid
dependence. The biological mechanisms that prevent the resolution of acute pain after the initial insult and drive
the transition from acute to chronic pain are poorly understood. The lack of rigorously validated biomarkers to
predict which patients are more susceptible to the transition from acute to chronic pain states is thus a major gap
hindering the development and implementation of population-wide and individualized preventive pain
interventions. In the A2CPS Consortium, the Clinical Centers will recruit and collect clinical data and biofluid
samples from two longitudinal cohorts of 1800 subjects each. Biofluid samples will be collected 0, 3, and 6
months after an acute pain episode, consisting of a specific surgical procedure or a specific musculoskeletal
trauma. These samples will be used to generate multi-omic data to validate 40 primary outcome biomarkers
indicating susceptibility or resilience to development of chronic pain, as well as to identify new candidate
biomarkers. For the proposed A2CPS Omics Data Generation Center (ODGC), Aim 1, which will be executed in
Year 1, will involve close collaboration with other components of the A2CPS Consortium to establish the final
study design and protocols. All of the A2CPS Program investigators will work together to establish the 40 primary
outcome biomarkers. The ODGC and Clinical Center investigators will jointly decide on the specific sample
type(s) and collection/processing/storage methods. The ODGC and Data integration Resource Center/Data
Coordination Component (DIRC/DCC) investigators will establish Metadata and Data Standards and a workflow
for submission of metadata and raw data to the DCC. The Administrative Core of the ODGC will establish a LIMS
for sample and data tracking and recording of metadata. The ODGC will work closely with the DIRC/Data
Integration and Analysis Component (DIAC) to establish data analysis pipelines. ODGC investigators also
anticipate participating in integrative analyses with the DIRC/DIAC aimed at developing pain signatures
comprised of multiple biomarker types (including molecular, clinical, psychosocial, and/or imaging biomarkers)
indicating susceptibility/resilience to chronic pain, which can be used to develop personalized strategies for
prevention and treatment of chronic pain. Aims 2 and 3 will span Years 2-4, with Aim 2 focused on data
generation from the ~11,000 biofluid samples that will be collected by the Clinical Centers. Aim 3 will encompass
submission of metadata and data to the DIRC/DCC, quality control of the data, and data analysis and
interpretation. The primary goal of this project is to establish the A2...

## Key facts

- **NIH application ID:** 10224832
- **Project number:** 5U54DA049115-03
- **Recipient organization:** UNIVERSITY OF CALIFORNIA, SAN DIEGO
- **Principal Investigator:** Kathleen Marie Fisch
- **Activity code:** U54 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2021
- **Award amount:** $973,999
- **Award type:** 5
- **Project period:** 2019-09-01 → 2023-07-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10224832

## Citation

> US National Institutes of Health, RePORTER application 10224832, Omics Data Generation Center (ODGC) for the Acute to Chronic Pain Signatures (A2CPS) Program (5U54DA049115-03). Retrieved via AI Analytics 2026-05-23 from https://api.ai-analytics.org/grant/nih/10224832. Licensed CC0.

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