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Metabolomics: The Basics

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Title: Metabolomics: The Basics


1
Metabolomics The Basics
  • David Wishart
  • Depts. Comp. Sci and Bio. Sci.
  • University of Alberta
  • david.wishart_at_ualberta.ca

July 16, 2005, 8th Banff Symposium
2
The Pyramid of Life
Metabolomics Proteomics Genomics
1400 Chemicals
2500 Enzymes
25,000 Genes
3
Metabolomics
Perturbation
Primary Molecules
Filtration
Secondary Molecules
Dilution
Concentration
Resorption
Chemical Fingerprint
4
Metabonomics Metabolomics
  • MetabonomicsThe quantitative measurement of the
    time-related total metabolic response of
    vertebrates to pathophysiological (nutritional,
    xenobiotic, surgical or toxic stimuli)
  • MetabolomicsThe quantitative measurement of the
    metabolic profiles of model organisms to
    characterize their phenotype or phenotypic
    response to genetic or nutritional perturbations

5
Metabolomics Is Growing
6
What is a Metabolite?
  • Any organic molecule detectable in the body with
    a MW lt 1000 Da
  • Includes peptides, oligonucleotides, sugars,
    nucelosides, organic acids, ketones, aldehydes,
    amines, amino acids, lipids, steroids, alkaloids
    and drugs (xenobiotics)
  • Includes human microbial products
  • Concentration gt 1mM

7
Why 1 mM?
  • Equals 200 ng/mL
  • Limit of detection by NMR
  • Limit of facile isolation/separation by many
    analytical methods
  • Excludes environmental pollutants
  • Most IEM indicators and other disease indicators
    have concentrations gt1 mM
  • Need to draw the line somewhere

8
Why Are Metabolites Relevant?
Metabolites are the Canaries of the Genome
9
Why is Metabolomics Relevant?
  • Generate metabolic signatures
  • Monitor/measure metabolite flux
  • Monitor enzyme/pathway kinetics
  • Assess/identify phenotypes
  • Monitor gene/environment interactions
  • Track effects from toxins/drugs/surgery
  • Monitor consequences from gene KOs
  • Identify functions of unknown genes

10
Medical Metabolomics
  • Generate metabolic signatures for disease
    states or host responses
  • Obtain a more holistic view of metabolism (and
    treatment)
  • Accelerate assessment diagnosis
  • More rapidly and accurately (and cheaply)
    assess/identify disease phenotypes
  • Monitor gene/environment interactions
  • Rapidly track effects from drugs/surgery

11
Traditional Metabolite Analysis
HPLC, GC, CE, MS
12
Problems with Traditional Methods
  • Requires separation followed by identification
    (coupled methodology)
  • Requires optimization of separation conditions
    each time
  • Often requires multiple separations
  • Slow (up to 72 hours per sample)
  • Manually intensive (constant supervision, high
    skill, tedious)

13
Whats the Difference Between Metabolomics and
Traditional Clinical Chemistry?
  • Throughput
  • (more metabolites, greater accuracy, higher speed)

14
New Metabolomics Approaches
15
Advantages
  • Measure multiple (10s to 100s) of metabolites
    at once no separation!!
  • Allows metabolic profiles or fingerprints to be
    generated
  • Mostly automated, relatively little sample
    preparation or derivitization
  • Can be quantitative (esp. NMR)
  • Analysis results in lt 60 s

16
NMR versus MS
  • Quantitative, fast
  • Requires no work up or separation
  • Allows ID of 300 cmpds at once
  • Good for CHOs
  • Not sensitive
  • Needs MS or 2D NMR for positive ID
  • Very fast
  • Very sensitive
  • Allows analysis or ID of 3000 cmpds at once
  • Not quantitative
  • Not good for CHOs
  • Requires work-up
  • Needs NMR for ID

17
2 Routes to Metabolomics
Quantitative Methods
Chemometric (Pattern) Methods
18
Quantitative vs. Chemometric
  • Identifies compounds
  • Quantifies compds
  • Concentration range of 1 mM to 1 M
  • Handles wide range of samples/conditions
  • Allows identification of diagnostic patterns
  • Limited by DB size
  • No compound ID
  • No compound conc.
  • No compound concentration range
  • Requires strict sample uniformity
  • Allows identification of diagnostic patterns
  • Limited by training set

19
Principles of Quantitative Metabolomics
20
Quantitative Metabolomics with Eclipse
21
Sample Compound List
  • L-Isoleucine
  • L-Lactic Acid
  • L-Lysine
  • L-Methionine
  • L-phenylalanine
  • L-Serine
  • L-Threonine
  • L-Valine
  • Malonic Acid
  • Methylamine
  • Mono-methylmalonate
  • N,N-dimethylglycine
  • N-Butyric Acid
  • Pimelic Acid
  • Propionic Acid
  • Pyruvic Acid
  • Salicylic acid
  • Sarcosine
  • ()-(-)-Methylsuccinic Acid
  • 2,5-Dihydroxyphenylacetic Acid
  • 2-hydroxy-3-methylbutyric acid
  • 2-Oxoglutaric acid
  • 3-Hydroxy-3-methylglutaric acid
  • 3-Indoxyl Sulfate
  • 5-Hydroxyindole-3-acetic Acid
  • Acetamide
  • Acetic Acid
  • Acetoacetic Acid
  • Acetone
  • Acetyl-L-carnitine
  • Alpha-Glucose
  • Alpha-ketoisocaproic acid
  • Benzoic Acid
  • Betaine
  • Beta-Lactose
  • Citric Acid
  • Creatine
  • DL-Carnitine
  • DL-Citrulline
  • DL-Malic Acid
  • Ethanol
  • Formic Acid
  • Fumaric Acid
  • Gamma-Amino-N-Butyric Acid
  • Gamma-Hydroxybutyric Acid
  • Gentisic Acid
  • Glutaric acid
  • Glycerol
  • Glycine
  • Glycolic Acid
  • Hippuric acid
  • Homovanillic acid
  • Hypoxanthine
  • Imidazole
  • Inositol
  • isovaleric acid

22
Metabolic Profiling The Possibilities
  • Genetic Disease Tests
  • Nutritional Analysis
  • Clinical Blood Analysis
  • Clinical Urinalysis
  • Cholesterol Testing
  • Drug Compliance
  • Dialysis Monitoring
  • MRS and fMRI
  • Toxicology Testing
  • Clinical Trial Testing
  • Fermentation Monitoring
  • Food Beverage Tests
  • Nutraceutical Analysis
  • Drug Phenotyping
  • Water Quality Testing
  • Organ Transplantation

23
Metabolomics and Drug Toxicology
Principal Component Analysis
24
Disease Diagnosis via NMR (140 Detectable
Conditions)
  • Adenine Phosphoribosyltransferase Deficency
  • Adenylosuccinase Deficiency
  • Alcaptonuria
  • a-Aminoadipic Aciduria
  • b-Aminoisobutyric Aciduria
  • a-Aminoketoadipic Aciduria
  • Anorexia Nervosa
  • Argininemia
  • Argininosuccinic Aciduria
  • Aspartylglycosaminuria
  • Asphyxia
  • Biopterin Disorders
  • Biotin-responsive Multiple Carboxylase Deficiency
  • Canavans Disease
  • Carcinoid Syndrome
  • Carnosinemia
  • Cerebrotendinous Xanthomatosis/sterol
    27-hydroxylaseDeficiency
  • Citrullinemia
  • Cystathioninemia
  • Dicarboxylic Aminoaciduria
  • Dichloromethane Ingestion
  • Dihydrolipoyl Dehydrogenase Deficiency
  • Dihydropyrimidine Dehydrogenase Deficiency
  • Dimethylglycine Dehydrogenase Deficiency
  • Essential Fructosuria
  • Ethanolaminosis
  • Ethylmalonic Aciduria
  • Familial Iminoglycinuria
  • Fanconis Syndrome
  • Folate Disorder
  • Fructose Intolerance
  • Fulminant Hepatitis
  • Fumarase Deficiency
  • Galactosemia
  • Glucoglycinuria
  • Glutaric Aciduria Types 1 2
  • Glutathionuria
  • Glyceroluria (GKD)
  • Histidinemia
  • Histidinuria
  • Homocystinsufonuria
  • Homocystinuria
  • 4-Hydroxybutyric Aciduria
  • 2-Hydroxyglutaric Aciduria
  • Hydroxykynureninuria
  • Hydroxylysinemia
  • Hydroxylysinuria
  • 3-Hydroxy-3-methylglutaric Aciduria
  • 3-Hydroxy-3-methylglutaryl-Co A Lyase Deficiency
  • Hydroxyprolinemia
  • Hyperalaninemia
  • Hyperargininemia (Argininemia)
  • Hyperglycinuria
  • Hyperleucine-Isoleucinemia
  • Hyperlysinemia
  • Hyperornithinemia
  • Hyperornithinemia-Hyperammonemia-Homocitrullinuria
    Syndrome (HHH)

25
Applications in Clinical Analysis
  • 96 sensitivity and 100 specificity in ID of
    abnormal from normal by metabolite concentrations
  • 95.5 sensitivity and 92.4 specificity in ID of
    disease or condition by characteristic metabolite
    concentrations
  • 120 sec per sample
  • 14 propionic acidemia
  • 11 methylmalonic aciduria
  • 11 cystinuria
  • 6 alkaptonuria
  • 4 glutaric aciduria I
  • 3 pyruvate decarboxylase deficiency
  • 3 ketosis
  • 3 Hartnup disorder
  • 3 cystinosis
  • 3 neuroblastoma
  • 3 phenylketonuria
  • 3 ethanol toxicity
  • 3 glycerol kinase deficiency
  • 3 HMG CoA lyase deficiency
  • 2 carbamoyl PO4 synthetase deficiency

Clinical Chemistry 47, 1918-1921 (2001).
26
Applications in Metabolite Imaging
Lactate
N-acetyl-aspartate
Glutamate
Citrate
Alanine
27
Metabolic Microarrays
Acetic Acid Betaine Carnitine Citric
Acid Creatinine Dimethylglycine Dimethylamine Hipp
ulric Acid Lactic Acid Succinic
Acid Trimethylamine Trimn-N-Oxide Urea Lactose Sub
eric Acid Sebacic Acid Homovanillic
Acid Threonine Alanine Glycine Glucose
Normal Below Normal Above Norrmal Absent
Patient 1 Patient 2 Patient 3 Patient 4 Patient
5 Patient 6 Patient 7 Patient 8 Patient 9 Patient
10 Patient 11 Patient 12 Patient 13 Patient
14 Patient 15
28
Why Metabolomics For Transplants?
  • Relatively non-invasive (no need for biopsy, just
    collect urine, blood or bile)
  • Can be quite organ specific
  • Very fast (lt60 s for an answer) cheap
  • Metabolic changes happen in seconds, gene,
    protein and tissue changes happen in minutes,
    hours or days
  • Allows easy longitudinal monitoring of patient
    (or organ) function (prepost op)

29
Applications In Transplantation
30
Applications In Transplantation
31
Metabolites Function
  • Serum Creatinine
  • Late stage organ stress and tissue breakdown
  • TMAO
  • Early stage buffering response
  • Creatine, methyl-histidine, taurine, glycine
  • Tissue damage, muscle breakdown, remodelling
  • Citrate, lactate, acetate, acetone
  • Oxidative stress, apoptosis, anoxia, ischemia
  • Histamine, chlorotyrosine, thromoxane, NO3
  • Immune response, inflammation

32
Why NOT Metabolomics For Transplants?
  • Still an early stage technology not ready for
    prime time
  • Metabolites are not always organ specific and not
    always as informative as protein or gene measures
  • Still defining signature metabolites and their
    meaning
  • Still dont have a complete list of human
    metabolites

33
Human Metabolome Project
  • 7.5 million Genome Canada Project launched in
    Jan. 2005
  • Mandate to quantify (normal and abnormal ranges)
    and identify all metabolites in urine, CSF,
    plasma and WBCs
  • Make all data freely and electronically
    accessible (HMDB)
  • Make all cmpds publicly available (HML)

www.hmdb.ca
34
Human Metabolome Project
  • Purpose is to facilitate Metabolomics
  • Objective is to improve
  • Disease identification
  • Disease prognosis prediction
  • Disease monitoring
  • Drug metabolism and toxicology
  • Linkage between metabolome genome
  • Development of software for metabolomics

35
David Wishart Comp. Sci. U of Alberta Proj. Leader
Brian Sykes Biochemistry U of Alberta NMR spect.
Russ Greiner Comp. Sci. U of Alberta Bioinformatic
s
Hans Vogel Biochemistry U of Calgary NMR spect.
Fiona Bamforth Clin. Chemistry U of
Alberta Sample Acq.
Derrick Clive Chemistry U of Alberta Synthesis
Liang Li Chemistry. U of Alberta MS/Separation
Mike Ellison Biochemistry U of Alberta MS/Separati
on.
36
Concluding Comments
  • Metabolomics is rapidly becoming the new
    clinical chemistry
  • Metabolomics complements genomics, proteomics and
    histology
  • Metabolomics allows probing of rapid
    physiological changes or events that are not as
    easily detected by microarrays or histological
    methods
  • Canada is actually leading the way (at least for
    now) in this field

37
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