Digitalisierung im Metabolismus-Labor

Size: px

Start display at page:

Download "Digitalisierung im Metabolismus-Labor"

Tobias Oliver
5 years ago
Views:

1 Digitalisierung im Metabolismus-Labor N. Kohl, H. Krüger, K. Schmeer, Grünenthal GmbH 3. Analytik-Tag, IUTA,

2 Contents 1. Metabolism, definition and tasks 2. Lab organisation 3. Linking-up; ULI 4. Conclusions 3. Analytik-Tag, IUTA,

3 Xenobiotics 3. Analytik-Tag, IUTA,

4 Metabolism (gr: μεταβολή, "change")???? Identification of an unknown number of unknown metabolites in complex matrices Determination of involved enzymes Establishing species dependent biotransformation pathways 3. Analytik-Tag, IUTA,

CYP450-phenotyping 12 enzymes, 7 time intervals plus end point & control trapping ( 13 C 15 N-GSH, K 13 C 15 N) with CYPs involved Chemical Development structures Kinetics, clin.

5 Work-flow, cross-links structure chem. reg., pks, log P, tuning in ESI/APCI, +/-, acidic/basic, scouting gradient with rat-mics, 3h BioAnalytics method dev. I. stability test/impurities 0,1 M HCl, 40 C, 0,1 M NaOH, 40 C, 0,3 % H 2 O 2, 25 C 0 h, 2 h, 24 h, 72 h II. CYP450-phenotyping 12 enzymes, 7 time intervals plus end point & control trapping ( 13 C 15 N-GSH, K 13 C 15 N) with CYPs involved Chemical Development structures Kinetics, clin. Pharm polymorphic CYPs? >1 CYP? CYP-ranking Anal. Chem. (NMR) Allele comparison K M and v max III. Species comparison Mics: man, rat, dog, monkey, mini-pig, rabbit, mouse, 7 time intervals plus end point & control Toxicology safety BioAnalytics Metabolite definition Hepatocytes or S9-mix fortified with PAPS&UDPGA: man, rat, dog, monkey, minipig, rabbit, mouse, 7 time intervals plus end point & control 3. Analytik-Tag, IUTA,

6 Lab organisation, work-flow substance arrival prep. stock solution LC-MS/MS method incubation analysis data mining report physchem data metabolism in silico fragmentation parent software available? VIH/TZHH Gihlgvgbtitolgh Ieruzmv b tzblä08dtznbbk nkt7mlzlznn Tiesnl.ö-öioöä Hnjkl.öö.vfj software assisted software based or mechanized 3. Analytik-Tag, IUTA,

7 Calculation of PhysChem data LogD LogP PhysChem PK a LogS 3. Analytik-Tag, IUTA,

8 Metabolism in silico 3. Analytik-Tag, IUTA,

Incubation at 37 C on shaker for 120 min Transfer into 96 well plates (stop with ACN) Stop of reaction by addition

9 work-flow: incubations Incubation vial 96 well plate Mix buffer, microsomes, regenerating system Start of reaction by addition of substrate Incubation at 37 C on shaker for 60 min Remove six aliquots at fixed time points Incubation at 37 C on shaker for 120 min Transfer into 96 well plates (stop with ACN) Stop of reaction by addition of ACN Protein precipitation centrifugation Evaporate to dryness Reconstitute with eluent 3. Analytik-Tag, IUTA,

10 Lab organisation, work-flow substance arrival prep. stock solution LC-MS/MS method incubation analysis data mining report physchem data metabolism in silico fragmentation parent software available? VIH/TZHH Gihlgvgbtitolgh Ieruzmv b tzblä08dtznbbk nkt7mlzlznn Tiesnl.ö-öioöä Hnjkl.öö.vfj software assisted software based or mechanized 3. Analytik-Tag, IUTA,

11 Intens. x PK1925 rat h urin ms_rb5_01_10958.d: +MS, min # m/z Lab organisation, data analysis Intens. x PK1925 rat h urin ms_rb5_01_10958.d: +MS, min # m/z 3. Analytik-Tag, IUTA,

fragmentation parent data mining report VIH/TZHH Gihlgvgbtitolgh

12 Lab organisation, work-flow substance arrival prep. stock solution LC-MS/MS method physchem data metabolism in silico fragmentation parent data mining report VIH/TZHH Gihlgvgbtitolgh Ieruzmv b tzblä08dtznbbk nkt7mlzlznn Tiesnl.ö-öioöä Hnjkl.öö.vfj 3. Analytik-Tag, IUTA,

5 d 1 0.5 d 1 Lab robot measurement 5 d 2 5 d 2 5 d 2 data mining 15 d 15 d 4 d archiving/ storage 1 d 1 d 0.

13 Capacities A typical pre-clin. work package contains app. 500 samples (per NCE) manual labour + robotic support + robotic support + software incubation/ sample prep. 5 d 0.5 d d 1 Lab robot measurement 5 d 2 5 d 2 5 d 2 data mining 15 d 15 d 4 d archiving/ storage 1 d 1 d 0.5 d Metasense + data base (ACD) reporting 15 d 15 d 4 d total FTE capacity (well skilled personal mandatory!) 36 d 31.5 d 9 d 1 liquid handler 2 LC-MS/MS 3. Analytik-Tag, IUTA,

14 Linking-up, ULI Result table 3. Analytik-Tag, IUTA,

Linking-up, ULI Result table The goals in evaluating in vitro drug metabolism are: (1) to identify all of the major metabolic pathways that affect the test drug and its metabolites, including the

15 Linking-up, ULI Result table The goals in evaluating in vitro drug metabolism are: (1) to identify all of the major metabolic pathways that affect the test drug and its metabolites, including the specific enzymes responsible for elimination and the intermediates formed Guidance for Industry Drug Metabolism/Drug Interaction, Studies in the Drug Development Process: Studies In Vitro, April 1997 Technical Drug Development (LC, MS, UV, NMR) chemical stability/lability 3A4 structures Phys-chem. data Nomenclature pk s, logp, logd, IUPAC-names LC, MS, MS/MS, UV In silico metabolism species comparison hepatic metabolism tox species plasma metabolites Toxicology Contributing enzymes polymorphisms DDI s reactive species extrahepatic metabolism renal, intestinal 3. Analytik-Tag, IUTA,

ULI (Unified Lab Information) with courtesy

adequate systems to automatically collect

decision-making 1 1 Scientific Computing

Data Structured Homogeneous Unified Data

Accumulate Knowledge Create Intelligence and

16 ULI (Unified Lab Information) with courtesy from ACD-LABS 88% of R&D organizations lack adequate systems to automatically collect data for reporting, analysis, and decision-making 1 1 Scientific Computing Research Study % 88% One-to-Many Live Data Structured Homogeneous Unified Data Metadata for Search Analyze Repeatedly Accumulate Knowledge Create Intelligence and Gain Insight One-and-Done Dead Data Unstructured Heterogeneous Siloed Data Metadata for Search? Analyze Once Discrete Knowledge 3. Analytik-Tag, IUTA,

17 Data exchange Research Technol Modelling Head Bioanalysis In silico metabolism in vitro data in silico data Project scientists Metabolism, (LC-MS) Isotope chemistry MS-data NMR-data (NMR) Preclinical Drug Safety (DEREK) references Research Technol Laboratories Chem. Development 3. Analytik-Tag, IUTA, (LC, GC, LC-MS) 17

MS-data Data exchange Research Technol Isotope chemistry Bioanalysis references,

NMR-data MS-data (LC-SPE-NMR) 2 NMR-data (LC, GC, LC-MS) Head Project scientists

18 MS-data Data exchange Research Technol Isotope chemistry Bioanalysis references, intermediates synthesis schemes MS-data Metabolism 1 in siilico In vitro In vivo NMR-data MS-data (LC-SPE-NMR) 2 NMR-data (LC, GC, LC-MS) Head Project scientists Modelling toxicol. relevance structures SD-file Interface Tox., DEREK toxicol. relevance NMR-data Chem. Development Research Technol GI-DD-PDD-PK 1 non-glp Data exchange via ACD GI-DD-TDD-RT GI-DD-PDD-SY GI-DD-TDD-CD GI-DD-TDD-AD 2 non-gmp 3. Analytik-Tag, IUTA,

19 Conclusions Regulatory demands are constantly increasing Automation allows an efficiency increase at constant head count by replacing manual labour However: The full benefits of automation can only be obtained by implementing software solutions for data analysis A common data base allows fast and simple cross-functional data- and knowledge-transfer (ULI) Hurdels 1. Time & money 2. Human factors: staff needs to - have or acquire skills in laboratory robotics, liquid handling, pipetting robots, analytical technologies, sample tracking/data base management, laboratory software - accept new work-flows - overcome fears - be stable 3. Analytik-Tag, IUTA,

20 Acknowledgements Grünenthal: Nicole Kohl Heike Krüger Dr. Rolf Terlinden Dr. Klaus Pusecker Dr. Dieter Albert ACD: Dr. Barbara Brandau-Krug Dr. Gerd Rheinwald Dr. Hans debie Hamilton: Dr. Ulrich Zander Dr. Björn Kaiser Frank Schmitt Müller Industrie-Systeme: Andreas Müller IUTA: Dr. Thorsten Teutenberg 3. Analytik-Tag, IUTA,

21 Vielen Dank! 3. Analytik-Tag, IUTA,

Confirmation of In Vitro Nefazodone Metabolites using the Superior Fragmentation of the QTRAP 5500 LC/MS/MS System

Confirmation of In Vitro Nefazodone Metabolites using the Superior Fragmentation of the QTRAP 5500 LC/MS/MS System Claire Bramwell-German, Elliott Jones and Daniel Lebre AB SCIEX, Foster City, California