Metabolomic analysis during glucose infusion

Post on 16-Apr-2015

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Metabolomics (GC/TOF, mass spectrometry) and informatics (PCA, PLS, networks)

Transcript of Metabolomic analysis during glucose infusion

Identification of OGGT associated changes

in primary metabolism

Dmitry Grapov, et al.

Study Design

•Overweight women (12-15, obese sedentary)

–14 week diet and exercise intervention

–Weight management and exercise (4 days/week, 30-40 min)

•Endpoints: pre and post intervention

–During Exercise

–During oral glucose tolerance test (OGTT)

•Primary metabolites (n > 300) by GC/TOF

•Clinical panel: insulin, glucose, lipids

•0, 30, 60, 90, 120 minutes

Goals: Identify and Interpret

•Effect on primary metabolite levels by:

–diet and exercise intervention

–exercise

–OGTT (talking about next)

•Analysis/Tools

–ANCOVA

–PCA

–Covariate adjusted PLS modeling

–Mapped Chemical Similarity Network

Exploratory Data Analysis: PCA

no scaling or centering

PCA: Scores and Loadings

no scaling or centering

glucose

219021

PCA: Interpretation

PCA: Data Scaling effect on perceived complexity

no scaling or centering autoscaling

PCA: autoscaled

Goal: Identify OGTT associated changes

•PLS model for time during OGTT

–NIPALS

–LOO cross-validation

•Data pre-treatment:

–Covariate adjustment for intervention effects

–Autoscaled

•Model validation

–Permutation tests

–Training/testing

Intervention adjusted PLS model: Scores

How can we interpret the model within a

biochemical context? (hint: mapped network)

Time 0 – 120 minutes

USE: Chemical Similarity Network (CSN)

•Vertices/nodes =

metabolites

•Edges =

chemical similarity

based on Tanimoto

distances

Mapping results:•Vertex

•Size = importance, |PLS coefficient|

•Color = direction of change, sign of coeff.

•Border = p-value < 0.05 (ANCOVA)

•Edges

•similarity > 70

pink (↑)

cyan (↓)

Making a CSN layout

1. Use pubchem CIDs to get chemical similarity indices

• http://pubchem.ncbi.nlm.nih.gov//score_matrix/score_matrix.cgi

2. Convert square symmetric matrix to edge list

(Metamapp or R)

• Visualize connections (Cytoscape)

To encode results using vertex aesthetics:

3. Make vertex attributes file

4. Map attributes to vertex visual properties

NOW A DEMO