presentazione di powerpoint - sisteweb.it dall'asta - universita...rupert et al., food...
TRANSCRIPT
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Metodologie omiche untarget per la caratterizzazione degli alimenti
Chiara Dall’Asta
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Metabolome: definition
Collection of all the small endogenous and exogenous molecules that can be found in a cell, organ, or organism Primary metabolism life-cycle related compounds Secondary metabolites response of the living organism to the external conditions
METABOLOMICS applied to FOOD
Characterization of the food
system
Food-Health interaction
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Co
mp
lexi
ty
Genomics
Epigenomics
Transcriptomics
Proteomics
Metabolomics
INTERACTION
PHENOTYPE
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Trace metabolites
Peptides
Neurotransmitters
Eicosanoids
Steroids
Nucleotides
Aminoacids
Lipids
Organic acids
pg/ml
ng/ml
µg/ml
mg/ml
NMR
MS-based techniques
Which technique?
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Metabolomics for Food & Health
METABOLOME
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Metabolomics
Metabolic profiling Metabolic
fingerprinting
Sample classification by rapid global
analysis
Specific matabolic pathways
Specific metabolites
Targeted metabolomics
Untargeted metabolomics
Quantification of a set of metabolites in a sample
(biomarkers)
Global metabolic pathway/network
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Untargeted metabolomics: fingerprinting
Sample classification by rapid global analysis of the metabolic fingerprint YOU DON’T KNOW WHAT YOU’RE MEASURING
(and you basically don’t care)
MODEL VALIDATION
CHEMOMETRICS
CLASSIFICATION
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IDENTIFICACIÓN
BIOMARCADORES
EXPERIMENTAL DESIGN
SEPARATION and DETECTION
DATA TREATMENT DATA PRE-TREATMENT
VALIDATION
MARKERS IDENTIFICATION
SELECTION of STATISTICAL VARIABLES
SAMPLE PREPARATION
BIOLOGICAL INTERPRETATION
UHPLC-HRMS analysis
Untargeted metabolomics workflow
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Righetti et al., Food Chemistry, 2018
Untargeted metabolomics: Fingerprinting for food authentication
•171 wheat samples
•7 varieties
•2 farming conditions
•2 harvest years
•52 wheat samples
•2 varieties
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Untargeted metabolomics: Fingerprinting for food authentication
Righetti et al., Food Chemistry, 2018
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Untargeted metabolomics: Fingerprinting for food authentication
- There’s a need of standardized methods and workflows - Bottleneck: authentic sample collection!
GUIDELINES FOR UNTARGETED MS-BASED METHODS FOR
FOOD FINGERPRINT
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Rupert et al., Food Chemistry, 2017
Untargeted metabolomics: Fingerprinting for biomarker elucidation
Sample classification by rapid global analysis of the metabolic fingerprint YOU DON’T KNOW WHAT YOU’RE MEASURING
(but you care!!)
86 wheat samples harvested in Czech Republic naturally contaminated by different
mycotoxins
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Rupert et al., Food Chemistry, 2017
555 features 369 features
Low infection Low infection High infection High infection
Untargeted metabolomics: Fingerprinting for biomarker elucidation
4 OXYLIPINS
4 DAG
2 PA
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Rupert et al., Food Chemistry, 2017
1.
Phosphatidic
acid (PA)
2.
Diacylglycerol
(DAG),
3. Oxylipins The lipid biosynthetic pathway
is involved in in the plant
defence responses.
Biomarkers are
under/overexpressed according
to the fungal infection
DISCLOSING THE LIPID SIGNATURE
Untargeted metabolomics: Fingerprinting for biomarker elucidation
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Untargeted metabolomics: Data collection and compound identificaton
LC-HRMS
• Untargeted screening • Unlimited number of monitored ions • Retrospective data analysis
LC-HR-IMS
• Isomer/Isobar compounds separation • Reduced and filtered background • Enhanced compounds identification
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Untargeted metabolomics: Data collection and compound identificaton
IM-MS allows the separation of ionized molecules based on their structural properties such as size and shape, in addition to their mass-to-charge ratio.
The time it takes for the charged species to transverse the drift tube can then be converted into a collision cross section
value, which is representative of a rotationally averaged surface area.
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CCS as a highly specific
molecular descriptor for
identification
A DATABASE OF CCS VALUES FOR PHYTOCOMPOUNDS IDENTIFICATION
- To overcome matrix effect - To overcome the lack of analytical standards - To allow identification of co-eluting isobars
Untargeted metabolomics: calculation of CCS values
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GRAZIE [email protected]
www.unipr.it
DEPARTMENT OF FOOD AND DRUG UNIVERSITY OF PARMA Gianni Galaverna Martina Cirlini Laura Righetti Luca Dellafiora Marco Spaggiari Tito Damiani EDMUND MACH FOUNDATION (TN) Josep Rubert
INSTITUTE OF CHEMICAL TECHNOLOGY, UNIVERSITY OF PRAGUE Jana Hajslova Milena Stranska-Zachariasova EURAC (BZ) Giuseppe Paglia BARILLA S.p.A. Michele Suman Daniele Cavanna WATERS Inc. Simona Scarpella Sara Staed