SlideShare uma empresa Scribd logo
1 de 19
Baixar para ler offline
Biology Services


        Randy Jones, D.V.M., Ph.D.
           Diplomate A.B.V.T. & A.B.T.


      Vice President Biology Services
         Ricerca Biosciences, LLC



                May 23, 2007
Introduction

• Animal models screen drug candidates for potential
  therapeutic efficacy
• Confounded by species of animal, metabolism,
  pharmacokinetics, organ system anatomy, and physiology
• An initial opportunity to integrate biology and chemistry
• Anti-infective, oncology screening, and anti-inflammation
  models are likely to remain important for development of
  drug candidates for an aging population
• Established disease models require less time and
  development expense but may lack specificity
• Brief application of anti-infectivity models, in vivo anti-tumor
  assays, and anti-inflammatory models will be presented
Biotech Business Model

Is the Bio-Entrepreneur more successful
than Pharma at drug development?

• Typical biotech customer proceeds cautiously with one or two
  projects and moves to combinations of biology and chemistry

• Need to develop their “one-and-only” lead into an IND

• Cash Flow – “do or die”

• Smaller organizations – fewer layers
Overview

    Animal models of human disease are used to screen
    drug candidates for potential therapeutic efficacy
    focusing on pharmacology and mechanism of action
•    Ethical considerations support the judicious use of animals
     prior to first-in-human use

•    Drugs are not used to treat normal people

•    Drug candidates are tested for toxicity on physiologically normal,
     juvenile animals (rodent & non-rodent)

•    Pharmacology vs toxicology endpoints

•    Mechanism of action – homology, specificity….
Overview        (Continued)




The predictive nature of the model and its potential to
extrapolate to a human disease is impacted by:

• Species of animal

• Metabolism – constitutive and inducible capacity

• Pharmacokinetics – drug-ability

• Organ system anatomy

• Physiology
Metabolite Profile

                                                       %Loss of Parent Compound


                           120



                                                                                                                         Risk Management
                           100
      % Loss of Parent




                            80

                            60

                                                                                                                         Cyn vs Rh
                                                                                                                     !
                            40

                            20

                                                                                                                         Teenage athlete vs
                                                                                                                     !
                                0
                                    0           5       10        15         20         25           30         35
                                                                                                                         Geriatric poly-pharmacy
                                                              Incubation Time (min.)

                                    Dog     Cyn Monkey         Rh Monkey          Human        Mouse        Rat
                                                                                                                         Therapeutic index
                                                                                                                     !
                                                    %Increase in Metabolite Formation
                                                                                                                         Clinical Indication
                                                                                                                     !
% Increase in Metabolite




                           60

                                                                                                                         Bimodal or uniform
                                                                                                                     !
                           50


                                                                                                                         pharmacogenomics
                           40

                           30


                                                                                                                         FDA/ICH guidelines
                           20
                                                                                                                     !
                           10

                           0
                                0           5          10        15         20          25       30             35

                                                                  Time (min.)
                           Dog            Cyn Monkey         Rh Monkey          Human        Mouse        Rat
Pharmacokinetics

Rapid In Vivo screening            Parent (Pro-drug)
                                         700


Pharmacokinetic Parameters               600
                                         500
                                   ng/
                                         400                                                                   IV
                                   mL


  • AUC, volume of distribution,
                                         300                                                                   oral
                                         200
                                         100


    half-life, Cmax, clearance,
                                          0
                                               0       2       4       6       8    10 12 14 16 18 20 22 24
                                                                                     Time (hr)


    bioavailability
                                   Active Metabolite

                                         10000



Test Material Requirements
                                         8000
                                   ng/   6000                                                                  IV
                                   mL
                                                                                                               oral
                                         4000


  • Limited amount                       2000

                                               0
                                                   0       2       4       6       8 10 12 14 16 18 20 22 24

  • Radiolabel not necessary                                                         Time (hr)
Integration of Biology and Chemistry

                 • Saltability
                 • Crystallinity
                   - HS-PLM, XRD, DSC, TGA
                 • Hygroscopicity
                    - Hydration states
                 • Solubility
                 • Stability
                 • Polymorphism
                 • Powder Properties
Why is this a Problem?

    Physical-chemical
•
    properties of each
    form are different            Solubility
                              •

                                  Dissolution Rate
                              •
    The intermolecular
•
                                  Chemical Stability
    forces in a solid         •
    contribute to the             Physical Stability
                              •
    properties of the solid
                                  Processability
                              •

                                  Rate of Elimination
                              •

                                  Bioavailability
                              •
Animal Models


 In Vivo Efficacy
    •   Anti-infective
    •   Anti-cancer
    •   Anti-inflammation
    •   Others
         • Obesity
         • Diabetes
         • Gene Therapy


 Work with Clients to Customize Models


 Dedicated BSL-2 Animal Rooms
Animal Models of Infection
(Anti-Infective)

Infectious agent introduced & the ability of the drug candidate
to relieve the experimental disease process is evaluated
• Thigh Infection Model – bacterial agents (mouse or rat)
      Neutropenic animal, end points and target tissues

      Antimicrobial efficacy of the drug candidate – plate count data CFU/gram
      thigh tissue

      Pharmacokinetics

      Clinical pathology
• In Vitro Assay Support
• Minimum inhibitory concentration, minimum bactericidal
  concentration, time-kill kinetic assays
Animal Models of Infection
(Anti-Infective)
An infectious agent is introduced and the ability of
the drug candidate to relieve the experimental
disease process is evaluated
• Mouse Sepsis Model – Staphylococcus aureus (MSSA
  and MRSA), S. pneumonia, E. Coli, P aeruginosa,
  Candida albicans (anti-fungal)
   – End points and target tissues
                                  100

                                   90

                                   80

                                   70
                                                                           ---- Infectedcontrol
                                                                                          control
                                                                                 Infected
                                                                           ---- Vancomycin
                                   60                                            Vancomycin
                     % survival




                                                                           ---- TA-1 (solution)
                                                                                 REP0897 (solution)
                                   50
                                                                           ---- TA-1 (suspension)
                                                                                 REP0897 (suspension)
                                                                                 REP0318 (solution)
                                                                           ---- TA-2 (solution)
                                   40
                                                                                 REP0318 (suspension)
                                                                           ---- TA-2 (suspension)
                                   30

                                   20

                                   10

                                    0
                                        -1   5   11   17    23   29   35
                                                      Day
Oncology Screening Models
(Anti-cancer)

In Vivo Anti-tumor Assays (Xenograft models)

•   Severe combined immunodeficient (SCID) mice, single subcutaneous
    injection x 7 day for tumor induction followed by drug candidate dosing
    by applicable route and dose levels x 7 days.
          Currently established tumor models at Ricerca:

                            Cell Line        Species          Cancer Type
                             C-33A            human              cervical
                             Ramos            human           B lymphocyte
                              PC-3            human              prostate
                             A-549            human        lung, non-small cell
                             HL-60            human          leukemia, PML
                             B16-F0           mouse            melanoma



•   End points - tumor size, histopathology of the induced lesion, clinical
    pathology

•   Pharmacokinetics
Oncology Screening Models
(Anti-cancer)

In Vitro Assays

•               Anti-proliferation

•               Acute cytotoxicity – lethality or induction of apoptosis

               100                                                           100
                80                                                           80
% Inhibition




                                                              % Inhibition
                60                                                           60
                40                                                           40
                20                                                           20
                 0                                                             0
                                                                             -200.10   1.00     10.00     100.00   1000.00
               -200.10    1.00               10.00   100.00
                                                                                              Conc (!M)
                                 Conc (!M)
Anti-Inflammation Model

An acute efficacy screening model to evaluate impact
on the inflammatory response:

LPS Induction of TNF! Release in Balb-c Mice

• Drug candidate administered orally, intraperitoneal, sub-cutaneously

• Lipopolysaccharide (LPS) dosed IP - optimized to provide maximal
 release of TNF!


• End points – serum/plasma TNF! by ELISA
    – Pharmacokinetic satellite group
    – Biomarkers
Effect on LPS Induced TNF! Release in Mice
by Single Oral Dose of Test Article
 Percent reduction from LPS control




                                      100%
                                      90%
                                                                                                  1 hour
                                      80%
                                                                                                  between
                                      70%                                                         oral dose
                                      60%                                                         and LPS
                                                                                                  dose
                                      50%
                                                                                                  4 Hours
                                      40%                                                         between
                                      30%                                                         oral dose
                                                                                                  and LPS
                                      20%
                                                                                                  dose
                                      10%
                                       0%
                                                            0




                                                                                 0



                                                                                         ,10
                                                  0




                                                                      0
                                                        2, 1




                                                                             4, 1
                                               1,1




                                                                   3,1




                                                                                       PC
                                             TA




                                                                 TA
                                                      TA




                                                                           TA




                                               Test Article dosed and dose administered (mg/kg)
Summary


• Animal models screen drug candidates for potential
  therapeutic efficacy
• Confounded by species of animal, metabolism,
  pharmacokinetics, organ system anatomy, and
  physiology
• An initial opportunity to integrate biology and
  chemistry
• Anti-infectivity models
• Anti-tumor assays
• Anti-inflammatory models
Thank you!

                    Ricerca Contacts

   Ann L. O’Leary, Ph.D.
   Manager, Animal Models/Microbiology
   440-357-3561
   oleary_a@ricerca.com

   Prabu Devanesan, Ph.D.
   Manager, In Vitro DMPK
   440-357-3106
   devanesan_p@ricerca.com

   Andrea Hubbell
   Scientist, In Vitro DMPK
   440-357-3753
   hubbell_a@ricerca.com
Biology Services


        Randy Jones, D.V.M., Ph.D.
           Diplomate A.B.V.T. & A.B.T.


      Vice President Biology Services
         Ricerca Biosciences, LLC



              February 5, 2007

Mais conteúdo relacionado

Mais de MaRS Discovery District

Supporting the commercialization of new energy technology by Celine Bak
Supporting the commercialization of new energy technology by  Celine BakSupporting the commercialization of new energy technology by  Celine Bak
Supporting the commercialization of new energy technology by Celine Bak
MaRS Discovery District
 
Supporting the commercialization of new energy technology by Annette Verschuren
Supporting the commercialization of new energy technology by Annette VerschurenSupporting the commercialization of new energy technology by Annette Verschuren
Supporting the commercialization of new energy technology by Annette Verschuren
MaRS Discovery District
 
Emerging energy generation and storage technology by Ken Nakahara
Emerging energy generation and storage technology by Ken NakaharaEmerging energy generation and storage technology by Ken Nakahara
Emerging energy generation and storage technology by Ken Nakahara
MaRS Discovery District
 
Emerging energy generation and storage technology by Ted Sargent
Emerging energy generation and storage technology by  Ted SargentEmerging energy generation and storage technology by  Ted Sargent
Emerging energy generation and storage technology by Ted Sargent
MaRS Discovery District
 
Emerging energy generation and storage technology by Mark Tinkler
Emerging energy generation and storage technology by Mark TinklerEmerging energy generation and storage technology by Mark Tinkler
Emerging energy generation and storage technology by Mark Tinkler
MaRS Discovery District
 
Emerging energy generation and storage technology by John MacRitchie
Emerging energy generation and storage technology by John MacRitchieEmerging energy generation and storage technology by John MacRitchie
Emerging energy generation and storage technology by John MacRitchie
MaRS Discovery District
 
Combining different energy sources and uses by David Teichroeb
Combining different energy sources and uses by  David TeichroebCombining different energy sources and uses by  David Teichroeb
Combining different energy sources and uses by David Teichroeb
MaRS Discovery District
 
Combining different energy sources and uses by Joe Cargnelli
Combining different energy sources and uses by  Joe CargnelliCombining different energy sources and uses by  Joe Cargnelli
Combining different energy sources and uses by Joe Cargnelli
MaRS Discovery District
 
Combining different energy sources and uses by Murray McCaig
Combining different energy sources and uses by Murray McCaigCombining different energy sources and uses by Murray McCaig
Combining different energy sources and uses by Murray McCaig
MaRS Discovery District
 
Designing the grid of the future by Ravi Seethapathy
Designing the grid of the future by Ravi SeethapathyDesigning the grid of the future by Ravi Seethapathy
Designing the grid of the future by Ravi Seethapathy
MaRS Discovery District
 
Designing the grid of the future by Darren Finkbeiner
Designing the grid of the future by Darren FinkbeinerDesigning the grid of the future by Darren Finkbeiner
Designing the grid of the future by Darren Finkbeiner
MaRS Discovery District
 
Designing the grid of the future by Stefan Kuppers
Designing the grid of the future by Stefan KuppersDesigning the grid of the future by Stefan Kuppers
Designing the grid of the future by Stefan Kuppers
MaRS Discovery District
 
Using the power of data by David Wollman
Using the power of data by David WollmanUsing the power of data by David Wollman
Using the power of data by David Wollman
MaRS Discovery District
 

Mais de MaRS Discovery District (20)

Supporting the commercialization of new energy technology by Celine Bak
Supporting the commercialization of new energy technology by  Celine BakSupporting the commercialization of new energy technology by  Celine Bak
Supporting the commercialization of new energy technology by Celine Bak
 
Supporting the commercialization of new energy technology by Annette Verschuren
Supporting the commercialization of new energy technology by Annette VerschurenSupporting the commercialization of new energy technology by Annette Verschuren
Supporting the commercialization of new energy technology by Annette Verschuren
 
Emerging energy generation and storage technology by Ken Nakahara
Emerging energy generation and storage technology by Ken NakaharaEmerging energy generation and storage technology by Ken Nakahara
Emerging energy generation and storage technology by Ken Nakahara
 
Emerging energy generation and storage technology by Ted Sargent
Emerging energy generation and storage technology by  Ted SargentEmerging energy generation and storage technology by  Ted Sargent
Emerging energy generation and storage technology by Ted Sargent
 
Emerging energy generation and storage technology by Mark Tinkler
Emerging energy generation and storage technology by Mark TinklerEmerging energy generation and storage technology by Mark Tinkler
Emerging energy generation and storage technology by Mark Tinkler
 
Emerging energy generation and storage technology by John MacRitchie
Emerging energy generation and storage technology by John MacRitchieEmerging energy generation and storage technology by John MacRitchie
Emerging energy generation and storage technology by John MacRitchie
 
Lunch keynote by Minister Duguid
Lunch keynote by Minister DuguidLunch keynote by Minister Duguid
Lunch keynote by Minister Duguid
 
Combining different energy sources and uses by David Teichroeb
Combining different energy sources and uses by  David TeichroebCombining different energy sources and uses by  David Teichroeb
Combining different energy sources and uses by David Teichroeb
 
Combining different energy sources and uses by Joe Cargnelli
Combining different energy sources and uses by  Joe CargnelliCombining different energy sources and uses by  Joe Cargnelli
Combining different energy sources and uses by Joe Cargnelli
 
Combining different energy sources and uses by Murray McCaig
Combining different energy sources and uses by Murray McCaigCombining different energy sources and uses by Murray McCaig
Combining different energy sources and uses by Murray McCaig
 
Designing the grid of the future by Ravi Seethapathy
Designing the grid of the future by Ravi SeethapathyDesigning the grid of the future by Ravi Seethapathy
Designing the grid of the future by Ravi Seethapathy
 
Designing the grid of the future by Darren Finkbeiner
Designing the grid of the future by Darren FinkbeinerDesigning the grid of the future by Darren Finkbeiner
Designing the grid of the future by Darren Finkbeiner
 
Designing the grid of the future by Stefan Kuppers
Designing the grid of the future by Stefan KuppersDesigning the grid of the future by Stefan Kuppers
Designing the grid of the future by Stefan Kuppers
 
Using the power of data by David Wollman
Using the power of data by David WollmanUsing the power of data by David Wollman
Using the power of data by David Wollman
 
Introduction by ann cavoukian
Introduction by ann cavoukianIntroduction by ann cavoukian
Introduction by ann cavoukian
 
Introduction by ann cavoukian
Introduction by ann cavoukianIntroduction by ann cavoukian
Introduction by ann cavoukian
 
SR&ED: What you need to know about the changing landscape - MaRS Best Practices
SR&ED: What you need to know about the changing landscape - MaRS Best PracticesSR&ED: What you need to know about the changing landscape - MaRS Best Practices
SR&ED: What you need to know about the changing landscape - MaRS Best Practices
 
Vicki Cammack, Tyze Personal Networks
Vicki Cammack, Tyze Personal NetworksVicki Cammack, Tyze Personal Networks
Vicki Cammack, Tyze Personal Networks
 
Trevor van Mierlo, Evolution Health
Trevor van Mierlo, Evolution HealthTrevor van Mierlo, Evolution Health
Trevor van Mierlo, Evolution Health
 
Neil F. Gordon, INTERxVENT
Neil F. Gordon, INTERxVENTNeil F. Gordon, INTERxVENT
Neil F. Gordon, INTERxVENT
 

Último

VIP Independent Call Girls in Mumbai 🌹 9920725232 ( Call Me ) Mumbai Escorts ...
VIP Independent Call Girls in Mumbai 🌹 9920725232 ( Call Me ) Mumbai Escorts ...VIP Independent Call Girls in Mumbai 🌹 9920725232 ( Call Me ) Mumbai Escorts ...
VIP Independent Call Girls in Mumbai 🌹 9920725232 ( Call Me ) Mumbai Escorts ...
dipikadinghjn ( Why You Choose Us? ) Escorts
 
VIP Independent Call Girls in Taloja 🌹 9920725232 ( Call Me ) Mumbai Escorts ...
VIP Independent Call Girls in Taloja 🌹 9920725232 ( Call Me ) Mumbai Escorts ...VIP Independent Call Girls in Taloja 🌹 9920725232 ( Call Me ) Mumbai Escorts ...
VIP Independent Call Girls in Taloja 🌹 9920725232 ( Call Me ) Mumbai Escorts ...
dipikadinghjn ( Why You Choose Us? ) Escorts
 
VIP Call Girl in Mira Road 💧 9920725232 ( Call Me ) Get A New Crush Everyday ...
VIP Call Girl in Mira Road 💧 9920725232 ( Call Me ) Get A New Crush Everyday ...VIP Call Girl in Mira Road 💧 9920725232 ( Call Me ) Get A New Crush Everyday ...
VIP Call Girl in Mira Road 💧 9920725232 ( Call Me ) Get A New Crush Everyday ...
dipikadinghjn ( Why You Choose Us? ) Escorts
 
From Luxury Escort Service Kamathipura : 9352852248 Make on-demand Arrangemen...
From Luxury Escort Service Kamathipura : 9352852248 Make on-demand Arrangemen...From Luxury Escort Service Kamathipura : 9352852248 Make on-demand Arrangemen...
From Luxury Escort Service Kamathipura : 9352852248 Make on-demand Arrangemen...
From Luxury Escort : 9352852248 Make on-demand Arrangements Near yOU
 
VIP Call Girl in Mumbai 💧 9920725232 ( Call Me ) Get A New Crush Everyday Wit...
VIP Call Girl in Mumbai 💧 9920725232 ( Call Me ) Get A New Crush Everyday Wit...VIP Call Girl in Mumbai 💧 9920725232 ( Call Me ) Get A New Crush Everyday Wit...
VIP Call Girl in Mumbai 💧 9920725232 ( Call Me ) Get A New Crush Everyday Wit...
dipikadinghjn ( Why You Choose Us? ) Escorts
 
Call Girls in New Ashok Nagar, (delhi) call me [9953056974] escort service 24X7
Call Girls in New Ashok Nagar, (delhi) call me [9953056974] escort service 24X7Call Girls in New Ashok Nagar, (delhi) call me [9953056974] escort service 24X7
Call Girls in New Ashok Nagar, (delhi) call me [9953056974] escort service 24X7
9953056974 Low Rate Call Girls In Saket, Delhi NCR
 
Call Girls Banaswadi Just Call 👗 7737669865 👗 Top Class Call Girl Service Ban...
Call Girls Banaswadi Just Call 👗 7737669865 👗 Top Class Call Girl Service Ban...Call Girls Banaswadi Just Call 👗 7737669865 👗 Top Class Call Girl Service Ban...
Call Girls Banaswadi Just Call 👗 7737669865 👗 Top Class Call Girl Service Ban...
amitlee9823
 

Último (20)

Booking open Available Pune Call Girls Wadgaon Sheri 6297143586 Call Hot Ind...
Booking open Available Pune Call Girls Wadgaon Sheri  6297143586 Call Hot Ind...Booking open Available Pune Call Girls Wadgaon Sheri  6297143586 Call Hot Ind...
Booking open Available Pune Call Girls Wadgaon Sheri 6297143586 Call Hot Ind...
 
VIP Independent Call Girls in Mumbai 🌹 9920725232 ( Call Me ) Mumbai Escorts ...
VIP Independent Call Girls in Mumbai 🌹 9920725232 ( Call Me ) Mumbai Escorts ...VIP Independent Call Girls in Mumbai 🌹 9920725232 ( Call Me ) Mumbai Escorts ...
VIP Independent Call Girls in Mumbai 🌹 9920725232 ( Call Me ) Mumbai Escorts ...
 
W.D. Gann Theory Complete Information.pdf
W.D. Gann Theory Complete Information.pdfW.D. Gann Theory Complete Information.pdf
W.D. Gann Theory Complete Information.pdf
 
Mira Road Memorable Call Grls Number-9833754194-Bhayandar Speciallty Call Gir...
Mira Road Memorable Call Grls Number-9833754194-Bhayandar Speciallty Call Gir...Mira Road Memorable Call Grls Number-9833754194-Bhayandar Speciallty Call Gir...
Mira Road Memorable Call Grls Number-9833754194-Bhayandar Speciallty Call Gir...
 
Stock Market Brief Deck (Under Pressure).pdf
Stock Market Brief Deck (Under Pressure).pdfStock Market Brief Deck (Under Pressure).pdf
Stock Market Brief Deck (Under Pressure).pdf
 
falcon-invoice-discounting-unlocking-prime-investment-opportunities
falcon-invoice-discounting-unlocking-prime-investment-opportunitiesfalcon-invoice-discounting-unlocking-prime-investment-opportunities
falcon-invoice-discounting-unlocking-prime-investment-opportunities
 
Call Girls in New Friends Colony Delhi 💯 Call Us 🔝9205541914 🔝( Delhi) Escort...
Call Girls in New Friends Colony Delhi 💯 Call Us 🔝9205541914 🔝( Delhi) Escort...Call Girls in New Friends Colony Delhi 💯 Call Us 🔝9205541914 🔝( Delhi) Escort...
Call Girls in New Friends Colony Delhi 💯 Call Us 🔝9205541914 🔝( Delhi) Escort...
 
VIP Independent Call Girls in Taloja 🌹 9920725232 ( Call Me ) Mumbai Escorts ...
VIP Independent Call Girls in Taloja 🌹 9920725232 ( Call Me ) Mumbai Escorts ...VIP Independent Call Girls in Taloja 🌹 9920725232 ( Call Me ) Mumbai Escorts ...
VIP Independent Call Girls in Taloja 🌹 9920725232 ( Call Me ) Mumbai Escorts ...
 
Call Girls Rajgurunagar Call Me 7737669865 Budget Friendly No Advance Booking
Call Girls Rajgurunagar Call Me 7737669865 Budget Friendly No Advance BookingCall Girls Rajgurunagar Call Me 7737669865 Budget Friendly No Advance Booking
Call Girls Rajgurunagar Call Me 7737669865 Budget Friendly No Advance Booking
 
(INDIRA) Call Girl Mumbai Call Now 8250077686 Mumbai Escorts 24x7
(INDIRA) Call Girl Mumbai Call Now 8250077686 Mumbai Escorts 24x7(INDIRA) Call Girl Mumbai Call Now 8250077686 Mumbai Escorts 24x7
(INDIRA) Call Girl Mumbai Call Now 8250077686 Mumbai Escorts 24x7
 
Call Girls Service Pune ₹7.5k Pick Up & Drop With Cash Payment 9352852248 Cal...
Call Girls Service Pune ₹7.5k Pick Up & Drop With Cash Payment 9352852248 Cal...Call Girls Service Pune ₹7.5k Pick Up & Drop With Cash Payment 9352852248 Cal...
Call Girls Service Pune ₹7.5k Pick Up & Drop With Cash Payment 9352852248 Cal...
 
(Vedika) Low Rate Call Girls in Pune Call Now 8250077686 Pune Escorts 24x7
(Vedika) Low Rate Call Girls in Pune Call Now 8250077686 Pune Escorts 24x7(Vedika) Low Rate Call Girls in Pune Call Now 8250077686 Pune Escorts 24x7
(Vedika) Low Rate Call Girls in Pune Call Now 8250077686 Pune Escorts 24x7
 
VIP Call Girl in Mira Road 💧 9920725232 ( Call Me ) Get A New Crush Everyday ...
VIP Call Girl in Mira Road 💧 9920725232 ( Call Me ) Get A New Crush Everyday ...VIP Call Girl in Mira Road 💧 9920725232 ( Call Me ) Get A New Crush Everyday ...
VIP Call Girl in Mira Road 💧 9920725232 ( Call Me ) Get A New Crush Everyday ...
 
Vasai-Virar Fantastic Call Girls-9833754194-Call Girls MUmbai
Vasai-Virar Fantastic Call Girls-9833754194-Call Girls MUmbaiVasai-Virar Fantastic Call Girls-9833754194-Call Girls MUmbai
Vasai-Virar Fantastic Call Girls-9833754194-Call Girls MUmbai
 
From Luxury Escort Service Kamathipura : 9352852248 Make on-demand Arrangemen...
From Luxury Escort Service Kamathipura : 9352852248 Make on-demand Arrangemen...From Luxury Escort Service Kamathipura : 9352852248 Make on-demand Arrangemen...
From Luxury Escort Service Kamathipura : 9352852248 Make on-demand Arrangemen...
 
Top Rated Pune Call Girls Sinhagad Road ⟟ 6297143586 ⟟ Call Me For Genuine S...
Top Rated  Pune Call Girls Sinhagad Road ⟟ 6297143586 ⟟ Call Me For Genuine S...Top Rated  Pune Call Girls Sinhagad Road ⟟ 6297143586 ⟟ Call Me For Genuine S...
Top Rated Pune Call Girls Sinhagad Road ⟟ 6297143586 ⟟ Call Me For Genuine S...
 
VIP Call Girl in Mumbai 💧 9920725232 ( Call Me ) Get A New Crush Everyday Wit...
VIP Call Girl in Mumbai 💧 9920725232 ( Call Me ) Get A New Crush Everyday Wit...VIP Call Girl in Mumbai 💧 9920725232 ( Call Me ) Get A New Crush Everyday Wit...
VIP Call Girl in Mumbai 💧 9920725232 ( Call Me ) Get A New Crush Everyday Wit...
 
Vip Call US 📞 7738631006 ✅Call Girls In Sakinaka ( Mumbai )
Vip Call US 📞 7738631006 ✅Call Girls In Sakinaka ( Mumbai )Vip Call US 📞 7738631006 ✅Call Girls In Sakinaka ( Mumbai )
Vip Call US 📞 7738631006 ✅Call Girls In Sakinaka ( Mumbai )
 
Call Girls in New Ashok Nagar, (delhi) call me [9953056974] escort service 24X7
Call Girls in New Ashok Nagar, (delhi) call me [9953056974] escort service 24X7Call Girls in New Ashok Nagar, (delhi) call me [9953056974] escort service 24X7
Call Girls in New Ashok Nagar, (delhi) call me [9953056974] escort service 24X7
 
Call Girls Banaswadi Just Call 👗 7737669865 👗 Top Class Call Girl Service Ban...
Call Girls Banaswadi Just Call 👗 7737669865 👗 Top Class Call Girl Service Ban...Call Girls Banaswadi Just Call 👗 7737669865 👗 Top Class Call Girl Service Ban...
Call Girls Banaswadi Just Call 👗 7737669865 👗 Top Class Call Girl Service Ban...
 

Biology Services

  • 1. Biology Services Randy Jones, D.V.M., Ph.D. Diplomate A.B.V.T. & A.B.T. Vice President Biology Services Ricerca Biosciences, LLC May 23, 2007
  • 2. Introduction • Animal models screen drug candidates for potential therapeutic efficacy • Confounded by species of animal, metabolism, pharmacokinetics, organ system anatomy, and physiology • An initial opportunity to integrate biology and chemistry • Anti-infective, oncology screening, and anti-inflammation models are likely to remain important for development of drug candidates for an aging population • Established disease models require less time and development expense but may lack specificity • Brief application of anti-infectivity models, in vivo anti-tumor assays, and anti-inflammatory models will be presented
  • 3. Biotech Business Model Is the Bio-Entrepreneur more successful than Pharma at drug development? • Typical biotech customer proceeds cautiously with one or two projects and moves to combinations of biology and chemistry • Need to develop their “one-and-only” lead into an IND • Cash Flow – “do or die” • Smaller organizations – fewer layers
  • 4. Overview Animal models of human disease are used to screen drug candidates for potential therapeutic efficacy focusing on pharmacology and mechanism of action • Ethical considerations support the judicious use of animals prior to first-in-human use • Drugs are not used to treat normal people • Drug candidates are tested for toxicity on physiologically normal, juvenile animals (rodent & non-rodent) • Pharmacology vs toxicology endpoints • Mechanism of action – homology, specificity….
  • 5. Overview (Continued) The predictive nature of the model and its potential to extrapolate to a human disease is impacted by: • Species of animal • Metabolism – constitutive and inducible capacity • Pharmacokinetics – drug-ability • Organ system anatomy • Physiology
  • 6. Metabolite Profile %Loss of Parent Compound 120 Risk Management 100 % Loss of Parent 80 60 Cyn vs Rh ! 40 20 Teenage athlete vs ! 0 0 5 10 15 20 25 30 35 Geriatric poly-pharmacy Incubation Time (min.) Dog Cyn Monkey Rh Monkey Human Mouse Rat Therapeutic index ! %Increase in Metabolite Formation Clinical Indication ! % Increase in Metabolite 60 Bimodal or uniform ! 50 pharmacogenomics 40 30 FDA/ICH guidelines 20 ! 10 0 0 5 10 15 20 25 30 35 Time (min.) Dog Cyn Monkey Rh Monkey Human Mouse Rat
  • 7. Pharmacokinetics Rapid In Vivo screening Parent (Pro-drug) 700 Pharmacokinetic Parameters 600 500 ng/ 400 IV mL • AUC, volume of distribution, 300 oral 200 100 half-life, Cmax, clearance, 0 0 2 4 6 8 10 12 14 16 18 20 22 24 Time (hr) bioavailability Active Metabolite 10000 Test Material Requirements 8000 ng/ 6000 IV mL oral 4000 • Limited amount 2000 0 0 2 4 6 8 10 12 14 16 18 20 22 24 • Radiolabel not necessary Time (hr)
  • 8. Integration of Biology and Chemistry • Saltability • Crystallinity - HS-PLM, XRD, DSC, TGA • Hygroscopicity - Hydration states • Solubility • Stability • Polymorphism • Powder Properties
  • 9. Why is this a Problem? Physical-chemical • properties of each form are different Solubility • Dissolution Rate • The intermolecular • Chemical Stability forces in a solid • contribute to the Physical Stability • properties of the solid Processability • Rate of Elimination • Bioavailability •
  • 10. Animal Models In Vivo Efficacy • Anti-infective • Anti-cancer • Anti-inflammation • Others • Obesity • Diabetes • Gene Therapy Work with Clients to Customize Models Dedicated BSL-2 Animal Rooms
  • 11. Animal Models of Infection (Anti-Infective) Infectious agent introduced & the ability of the drug candidate to relieve the experimental disease process is evaluated • Thigh Infection Model – bacterial agents (mouse or rat) Neutropenic animal, end points and target tissues Antimicrobial efficacy of the drug candidate – plate count data CFU/gram thigh tissue Pharmacokinetics Clinical pathology • In Vitro Assay Support • Minimum inhibitory concentration, minimum bactericidal concentration, time-kill kinetic assays
  • 12. Animal Models of Infection (Anti-Infective) An infectious agent is introduced and the ability of the drug candidate to relieve the experimental disease process is evaluated • Mouse Sepsis Model – Staphylococcus aureus (MSSA and MRSA), S. pneumonia, E. Coli, P aeruginosa, Candida albicans (anti-fungal) – End points and target tissues 100 90 80 70 ---- Infectedcontrol control Infected ---- Vancomycin 60 Vancomycin % survival ---- TA-1 (solution) REP0897 (solution) 50 ---- TA-1 (suspension) REP0897 (suspension) REP0318 (solution) ---- TA-2 (solution) 40 REP0318 (suspension) ---- TA-2 (suspension) 30 20 10 0 -1 5 11 17 23 29 35 Day
  • 13. Oncology Screening Models (Anti-cancer) In Vivo Anti-tumor Assays (Xenograft models) • Severe combined immunodeficient (SCID) mice, single subcutaneous injection x 7 day for tumor induction followed by drug candidate dosing by applicable route and dose levels x 7 days. Currently established tumor models at Ricerca: Cell Line Species Cancer Type C-33A human cervical Ramos human B lymphocyte PC-3 human prostate A-549 human lung, non-small cell HL-60 human leukemia, PML B16-F0 mouse melanoma • End points - tumor size, histopathology of the induced lesion, clinical pathology • Pharmacokinetics
  • 14. Oncology Screening Models (Anti-cancer) In Vitro Assays • Anti-proliferation • Acute cytotoxicity – lethality or induction of apoptosis 100 100 80 80 % Inhibition % Inhibition 60 60 40 40 20 20 0 0 -200.10 1.00 10.00 100.00 1000.00 -200.10 1.00 10.00 100.00 Conc (!M) Conc (!M)
  • 15. Anti-Inflammation Model An acute efficacy screening model to evaluate impact on the inflammatory response: LPS Induction of TNF! Release in Balb-c Mice • Drug candidate administered orally, intraperitoneal, sub-cutaneously • Lipopolysaccharide (LPS) dosed IP - optimized to provide maximal release of TNF! • End points – serum/plasma TNF! by ELISA – Pharmacokinetic satellite group – Biomarkers
  • 16. Effect on LPS Induced TNF! Release in Mice by Single Oral Dose of Test Article Percent reduction from LPS control 100% 90% 1 hour 80% between 70% oral dose 60% and LPS dose 50% 4 Hours 40% between 30% oral dose and LPS 20% dose 10% 0% 0 0 ,10 0 0 2, 1 4, 1 1,1 3,1 PC TA TA TA TA Test Article dosed and dose administered (mg/kg)
  • 17. Summary • Animal models screen drug candidates for potential therapeutic efficacy • Confounded by species of animal, metabolism, pharmacokinetics, organ system anatomy, and physiology • An initial opportunity to integrate biology and chemistry • Anti-infectivity models • Anti-tumor assays • Anti-inflammatory models
  • 18. Thank you! Ricerca Contacts Ann L. O’Leary, Ph.D. Manager, Animal Models/Microbiology 440-357-3561 oleary_a@ricerca.com Prabu Devanesan, Ph.D. Manager, In Vitro DMPK 440-357-3106 devanesan_p@ricerca.com Andrea Hubbell Scientist, In Vitro DMPK 440-357-3753 hubbell_a@ricerca.com
  • 19. Biology Services Randy Jones, D.V.M., Ph.D. Diplomate A.B.V.T. & A.B.T. Vice President Biology Services Ricerca Biosciences, LLC February 5, 2007