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The Universal Pill IGEM Presentation 17th July 09 James Field Dineka Khurmi Nuri Purswani Kun Xue Project Description Problem for oral delivery of peptides • 1 pill = 1 drug • High manufacturing cost • Variable peptide half life Solution… • User defined drug production… Specification Design Modelling Implementation Testing/Validation The Universal Pill • Multiple inputs enable drug selection • Offers uniformity • Direct packaging • Fresh peptide production Capsule • Dosage control Bacteria • Reduced loss of peptide Specification Design Modelling Implementation Testing/Validation Current Methods Peptide delivery Polysaccharides Basic Mechanism Hydrogel encapsulation Polyethylene glycol (PEG) Conjugates to - Proteins not proteins forming denatured amphiphilic complex - Can cross mucosa - May alter biological function of protein Liposomes Phospholipid bilayer carriers - Targeting - Manufacturing Symbiotic Microbe Secretion - Sustained drug production - Multiple drug outputs - Difficult to regulate Specification Design Modelling Main Advantages - Safe - Biodegradable Implementation Main Disadvantages - Hard to encapsulate peptides Testing/Validation Integrated Solution Peptide delivery Polysaccharides Basic Mechanism Hydrogel encapsulation Polyethylene glycol (PEG) Conjugates to - Proteins not proteins forming denatured amphiphilic complex - Can cross mucosa - May alter biological function of protein Liposomes Phospholipid bilayer carriers - Targeting - Manufacturing Symbiotic Microbe Secretion - Sustained drug production - Multiple drug outputs - Difficult to regulate Specification Design Modelling Main Advantages - Safe - Biodegradable Implementation Main Disadvantages - Hard to encapsulate peptides Testing/Validation Chosen Solution Capsule Polysaccharide encapsulation of chassis Bacteria Combining polysaccharide & symbiotic microbe delivery offers the following advantages: • Synthesis on demand without risk of GMO • Protein is not denatured during storage & transport Specification Design Modelling Implementation Testing/Validation Mechanism Overview Encapsulate Express • Polysaccharide encapsulation of chassis. • Peptide synthesis prior to consumption. Kill Release Specification Design Modelling Implementation Testing/Validation Light Trigger Logic Circuit 0 B R 0 Drug 1 Drug 2 Drug 3 Specification Design Modelling R=0 B=0 No production R=0 B=1 Drug 1 R=1 B=0 Drug 2 R=1 B=1 Drug 3 Implementation Testing/Validation Proposed Applications Disease General description Treatment drug Description Diabetes Mellitus Inability to metabolize glucose. - GLP-1 Insulin production Glucagon production Beta cell mass and insulin gene expression Acid secretion and gastric emptying in the stomach Food intake by hunger Haemophilia Hereditary disorder impairing body’s ability to control blood clotting or coagulation. - Factor VIII in haemophilia A - Factor IX in haemophilia B - Co-factor associated in the blood clotting cascade mechanism Hay fever Allergic rhinitis frequently caused by pollen. - Antigen - Reduces allergic reaction symptoms Chassis Criteria • Non pathogenic strain • Large Biobrick availability • Expertise in college • Freeze dry Testing/Validation Chassis considerations Considerations Chassis Non – pathogenic Large bio-brick availability Expertise Freeze dry In college E.coli Yes Large Yes (most) 50% survival B.subtilis Yes Few Yes est. 80% survival S.cerevisiae Yes few Yes 10% survival Capsule Design Overview 1) Encapsulation 2) Storage 3) Protein expression 4) Acid resistance 5) Release 1) Encapsulation • enhances cell resistance to freezing and freeze-drying (for storage) • added convenience and reduced packaging costs • longer stability and viability during storage Encapsulation Method Comparison Cell Encapsulation method Mechanism Advantages Disadvantages Alginate hydrogels Sodium alginate forms solid gel with Ca2+ -mild -low cost -leaking (for pure alginate) Spray coating Dissolved in of fats polymer and trapped in dried particle - short contact time, good for labile particles - Must be heat resistant for spray-dry encapsulation RennetGelling -milk is common food item -storage problem Milk proteins form gels upon Rennet action Encapsulation details An in situ method for cultivating microorganisms using a double encapsulation technique Eitan Ben-Dov1,2, Esti Kramarsky-Winter3,4 & Ariel Kushmaro1,5 2) Storage Short term storage-up to a month Nutrient agar Keep in a sealable container Storage in refrigerator Long term storage Inclusion of glycerol storage in freeze-dried form freeze at -20°C or -80°C Freeze drying 3) Protein expression Transparency to light important for light inputs reaching cells Alginate is transparent Transparency type nutrient agar Protein Deposition Proteins expressed are exported from the cell into the nutrient agar Proteins stored in pores of nutrient agar until release 4) Resistance to stomach acidity Exposure of bifidobacteria to simulated gastric juice at pH 2.0 Diameters of 40–80 μm - insignificant protection 1–3 mm - microspheres protected entrapped cells Encapsulation in alginate-coated gelatin microspheres improves survival of the probiotic Bifidobacterium adolescentis 15703T during exposure to simulated gastro-intestinal conditions N.T. Annana, A.D. Borzaa and L. Truelstrup Hansen Resistance to Acidity When pH is lowered below the pKa values of d-mannuronic and l-guluronic acid (3.6 and 3.7, respectively), alginate is converted to alginic acid with release of calcium ions Stomach pH is at 1-3 Disintegration times for alginate-coating was 120 min 5) Release Full degradation of alginate coat in intestines Protein in nutrient agar now released The Vision LOADDRUG PILL SELECT SELECT COMPETE DOSE Black Box Light Chemical BLACK BOX: Modules Drug Control Dose Control Light Sensing Wavelength Peptide synthesis Frequency Timer Restriction enzyme synthesis INPUT: Encoding with Light Wavelength: Pulse: Cph8 1 YcgF/YcgE Drug Choice 0 Time Dosage Wavelength Encoding Input A B C 1, 0 1, 1 0, 1 Output Genetic Simulation COMMAND = ACTIVATE A A P1 G1 G2 P2 G3 G4 P3 G5 A B C P4 G6 Genetic Simulation COMMAND = ACTIVATE B A P1 G1 G2 P2 G3 G4 P3 G5 B B C P4 G6 Genetic Simulation COMMAND = ACTIVATE C A P1 G1 G2 P2 G3 G4 P3 G5 C B C P4 G6 Pulse Encoding Input Output 1 1 1 0 0 0 Time Time Time Excitable protein output Protein Time Specification Design Modelling Implementation Testing/Validation Comparator Specifications 1: Strong Biobrick characterisation. 2: Precise relationship between coexpressed drug and reporter group. 3: Defined time in which to compute required pulse frequency. Timer Specifications 1: Responsive to 1st light pulse only. 2: Restriction enzymes expressed at end of time period. Threshold Protein Time Operation Summary Select desired drug INPUT MODULATION Select desired dosage COMPARATOR MODULATION Light Chemical Summary Light Receptor Start Timer Wavelength Processing Threshold detector Pulse Processing Restriction Enzyme Synthesis Drug Synthesis & Secretion Modelling considerations: Components Protein controlled timer: ◦ Simple logic gate representations Timer block: ◦ Rate of protein expression and degradation (ETH 07) ◦ Threshold mechanism: “Schmitt trigger” (Taipei 07) Encapsulation efficiency: ◦ Particle size, morphology, swelling (Martins et al 2007) Metabolic considerations: ◦ Behaviour of bacteria inside the capsule (Wen-tao Qi et al. 2005) ◦ Comparison with free in culture medium Model parameters Protein controlled timer: - Light absorbance, pigment formation: Directly indicative of amount of protein present? Encapsulation efficiency: - Diffusion of drug through capsule Metabolic considerations: - Bacterial growth rate, population consumption Questions we would expect our models to answer Protein controlled timer: - Obtain optimal input light conditions for protein degradation. Encapsulation efficiency: - Find out optimal dimensions for maximal diffusion of substances through capsule. Metabolic considerations: - Find optimal nutrient agar composition to obtain indication of bacterial survival. Summary Solution: User defined drug production for oral administration • 1 pill = 1 drug • High manufacturing cost • Variable peptide half life