# CNS-Met Metabolomics Core

> **NIH NIH P20** · UNIVERSITY OF KENTUCKY · 2024 · $385,385

## Abstract

Neurological disorders and central nervous system (CNS) injuries show clear metabolic defects, which in
turn disrupts bioenergetics balances, redox status, and neurotransmitter biosynthesis that are required for
maintaining, synaptic activity, neuronal homeostasis, and neuroinflammation. For these reasons, CNS
metabolism research has generated interest from those studying Alzheimer’s disease, traumatic brain injury,
epilepsy, spinal cord injury, Parkinson’s disease, and others. Modern metabolomics allows for the profiles of
hundreds of metabolites from a single sample. It is both informative and transformative, supports both
hypothesis-generating and hypothesis-driven research. Current applications of metabolomics include,
molecular basis of metabolic diseases, biomarker discovery, disease prediction, drug responses, and
personalized medicine.
 The overarching goal of the CNS-Met Metabolomics Core is to make cutting-edge metabolomics and
mitochondrial energetics techniques and analyses available to CNS-Met Research Project Leaders (RPL) and
pilot project PIs. The available expertise and instrumentation are well-aligned with the RPL proposals. The core
directors have worked with each RPL to generate exciting preliminary data. The core will engage with, assist in
experimental design, run samples, train personnel, and analyze brain metabolism data. The CNS-Met
Metabolomics Core will support the talented RPLs in the area of CNS metabolism and enhance their success
in competing for NIH R-level grants.
 To achieve these goals, the core will Aim 1: Provide experimental design consultation and project-specific
study planning. The core has worked closely with the RPLs, and will continue to do so, on experimental design,
data processing, and biostatistical analyses. Proper experimental design and sample preparation will lay the
foundation for a successful metabolomics experiment. Aim 2: Provide metabolomics expertise and training.
The core will house an Agilent 5977B GCMS, 2) Agilent 6545 quadrupole time of flight LC/CE-QTOF, and 3) a
Seahorse Biosciences XF24e and XFe96 Flux Analyzers as well as Oroboros O2KFluorometer. The core will
run samples, assist, train, and/or supervise data analysis from basic data reduction, incorporating procedural
control, normalization, pathway ontology matching, data interpretation, and offer possible next steps. Aim 3:
Perform sample processing, technical analyses, and data reduction-interpretation-presentation. The core will
assist users by performing sample preparation, instrument operation, mass spectrometry peak matching to
metabolites with a known compound library, sample normalization, and statistical analyses.
 The core will utilize integrated processes established by core leadership from experimental design though
rapid and consistent sample acquisition, sample fixation, sample extraction, data reduction, statistical analysis,
data analysis, and biological interpretation to ensure the success of the CNS-Met RPLs and...

## Key facts

- **NIH application ID:** 10841478
- **Project number:** 5P20GM148326-02
- **Recipient organization:** UNIVERSITY OF KENTUCKY
- **Principal Investigator:** Patrick G Sullivan
- **Activity code:** P20 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2024
- **Award amount:** $385,385
- **Award type:** 5
- **Project period:** 2023-05-15 → 2028-02-29

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10841478

## Citation

> US National Institutes of Health, RePORTER application 10841478, CNS-Met Metabolomics Core (5P20GM148326-02). Retrieved via AI Analytics 2026-06-01 from https://api.ai-analytics.org/grant/nih/10841478. Licensed CC0.

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