# Core B - Analytical Core

> **NIH NIH P30** · UNIVERSITY OF KENTUCKY · 2022 · $352,318

## Abstract

The Phase III Analytical Core will support research into mechanisms linking obesity, lipid metabolism and
human disease risk through continued use of facility core instrumentation and resources to develop and
support a suite of analytical services tailored for studies of the relationship between diet, obesity and disease
mechanisms using preclinical models and clinical approaches. In addition, expansion of services in lipidomics
and stable isotope tracer studies will augment capabilities for small animal metabolic phenotyping. This core
has developed extensive instrumentation that enables quantitation of a broad range of small molecules,
untargeted profiling of lipids in complex mixtures, targeted quantification of biomarkers linking obesity to
disease, and methods for studies of glucose and fatty acid metabolism. Each of these analytical capabilities
are of direct relevance to studies focused on diet, nutrition, and obesity in disease development. This core has
contributed data for more than 110 peer reviewed publications since 2008 in high impact journals, provided
services for more than 60 investigators, and contributed to new grant awards in environmental sciences. The
core is well equipped, and with expanded services is anticipated to develop self-sustaining capacity in Phase
III of the COCVD.

## Key facts

- **NIH application ID:** 10458564
- **Project number:** 5P30GM127211-05
- **Recipient organization:** UNIVERSITY OF KENTUCKY
- **Principal Investigator:** ANDREW J MORRIS
- **Activity code:** P30 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2022
- **Award amount:** $352,318
- **Award type:** 5
- **Project period:** 2018-08-01 → 2025-07-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10458564

## Citation

> US National Institutes of Health, RePORTER application 10458564, Core B - Analytical Core (5P30GM127211-05). Retrieved via AI Analytics 2026-05-22 from https://api.ai-analytics.org/grant/nih/10458564. Licensed CC0.

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