gabriele cruciani, laura goracci - unipr.it · efsa parma, 11-13 june 2019 gabriele cruciani...
TRANSCRIPT
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Gabriele CrucianiEFSA Parma, 11-13 June 2019
Gabriele Cruciani, Laura GoracciDepartment of Chemistry, Biology and Biotechnology, University of Perugia, Italy
& Molecular Discovery, London
Photos from Perugia, Umbria, Italy
Risks & benefits of the use of computational methods
Parma Summer School 2019 EFSA Parma, 11-13 June 2019
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Gabriele CrucianiEFSA Parma, 11-13 June 2019
Outline
1. Approaches for structure-property relationships
2. Limits of QSAR (QSPR) methods
3. Phenotype descriptors using –omics approach
4. Examples
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Gabriele CrucianiEFSA Parma, 11-13 June 2019
DRUG-impurities
Foodingredients-
toxins
Detergents
Tox
UNWANTED EFFECTS
1st approach: Structure-Property Relationships
Risk-benefit assessment of medicinal products (A. Kouroumalis)
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Gabriele CrucianiEFSA Parma, 11-13 June 2019
DRUG-impurities
Foodingredients-
toxins
Detergents
Tox
UNWANTED EFFECTS
1st approach: Structure-Property Relationships
xenobiotics
Chemical description01100011100010101
Risk-benefit assessment of medicinal products (A. Kouroumalis)
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Gabriele CrucianiEFSA Parma, 11-13 June 2019
DRUG-impurities
Foodingredients-
toxins
Detergents
Tox
UNWANTED EFFECTS
QSPR
1st approach: Structure-Property Relationships
xenobiotics
Chemical description01100011100010101
Risk-benefit assessment of medicinal products (A. Kouroumalis)
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Gabriele CrucianiEFSA Parma, 11-13 June 2019
1st approach: Structure-Property Relationships
Chemical description01100011100010101
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Gabriele CrucianiEFSA Parma, 11-13 June 2019
1st approach: Structure-Property Relationships
Chemical description01100011100010101
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Gabriele CrucianiEFSA Parma, 11-13 June 2019
1st approach: Structure-Property Relationships
Chemical description01100011100010101
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Gabriele CrucianiEFSA Parma, 11-13 June 2019
1st approach: Structure-Property Relationships
Chemical description01100011100010101
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Gabriele CrucianiEFSA Parma, 11-13 June 2019
DRUG-impurities
Foodingredients-
toxins
Detergents
Tox
UNWANTED EFFECTS
QSPR
1st approach: Structure-Property Relationships
AI
xenobiotics
Chemical description01100011100010101
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Gabriele CrucianiEFSA Parma, 11-13 June 2019
DRUG-impurities
Foodingredients-
toxins
Detergents
Tox
xenobiotics
UNWANTED EFFECTS
METABOLITES
Phase I metabolites
Phase II metabolites
Kinetics
2nd approach: Structure-Property Relationships
Chemical descriptions01100011100010101
hitroxen
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Gabriele CrucianiEFSA Parma, 11-13 June 2019
DRUG-impurities
Foodingredients-
toxins
Detergents
Tox
xenobiotics
UNWANTED EFFECTS
METABOLITES
Phase I metabolites
Phase II metabolites
Kinetics
3rd approach: Structure-Property Relationships
phenotype description01100011100010101
METABOLOMICS
LIPIDOMICS
organoids
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Gabriele CrucianiEFSA Parma, 11-13 June 2019
noTox Tox
example
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Gabriele CrucianiEFSA Parma, 11-13 June 2019
noTox Tox
example
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Gabriele CrucianiEFSA Parma, 11-13 June 2019
o
Troglitazone
Hepatotoxic
Pioglitazone Thiazolidinediones tox pathway:
Oxidative CYP3A4Kassahun et. al. Chem. Res. Toxicol.
(14), 62-70, 2001
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Gabriele CrucianiEFSA Parma, 11-13 June 2019
o
Troglitazone
Hepatotoxic
Pioglitazone Thiazolidinediones tox pathway:
Oxidative CYP3A4Kassahun et. al. Chem. Res. Toxicol.
(14), 62-70, 2001
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Gabriele CrucianiEFSA Parma, 11-13 June 2019
Pioglitazone Troglitazone12 days human MIT hepatocye
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Gabriele CrucianiEFSA Parma, 11-13 June 2019
PioglitazoneTroglitazone12 days human MIT hepatocyte
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Gabriele CrucianiEFSA Parma, 11-13 June 2019
Tamoxifen DILI+(Steatohepatitis)
Benefit: prevent breast cancer
Risk: increased risk of uterine cancer, stroke
Risk / Benefit ??
Personalised approach
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Gabriele CrucianiEFSA Parma, 11-13 June 2019
564,2558
Medium
563,2183
Medium
358,2353
Medium
& lipids
374,2368
Medium
medium
374,2368
Medium
lipids
Ultra fast automatic MetID
& lipidomic for phenotypic
fingerprint
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Gabriele CrucianiEFSA Parma, 11-13 June 2019
2 days4 days6 days8 days11
days
14 days
LipoTox Technology Platform
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Gabriele CrucianiEFSA Parma, 11-13 June 2019
Tamoxifen DILI+(Steatohepatitis)
Toxicity increases
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Gabriele CrucianiEFSA Parma, 11-13 June 2019
• Analyze overall toxicity profiles• Profile characteristics
• Unsupervised and supervised approaches to compare profiles
• Focus on individual endpoints• Correlate to external data
• Build an understanding of clinical mechanisms
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What Can We Do With LipoTox Profile Data?
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Gabriele CrucianiEFSA Parma, 11-13 June 2019
• Compound characterization
• ADME Property profiles
• Pathways, possible clinical indications
• Mechanism of action
• Unexpected off-targets (toxicity)
• Support therapeutic hypotheses
• Compare to competitor molecules, clinical standards of care
• Identify translational biomarkers
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Applications
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Gabriele CrucianiEFSA Parma, 11-13 June 2019
• Challenges for studying drug combinations:
• System may include more drugs
• Suitably robust to capture combination effects
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Drug Combinations
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Gabriele CrucianiEFSA Parma, 11-13 June 2019
MALDI (DESI) Metab-Lipid-omics (looking for locations in space)
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Gabriele CrucianiEFSA Parma, 11-13 June 2019
Alessandra Di Veroli
Aurora Valeri
Fabien Fontain
Laura Goracci
Massimo Baroni
Paolo Benedetti
Paolo Tiberi
Sara Tortorella
Stefano di Bona
Molecular Discovery
Thanks to …
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Gabriele CrucianiEFSA Parma, 11-13 June 2019
Rosso di sera .. bel tempo si spera !!
Red sky at night, shepherd’s delight
Thanks all …