Exam VI - Gene Therapy Flashcards
Diseases with Mendelian Inheritance
Myotonic and Duchenne muscular dystrophies Cystic fibrosis Neurofibromatosis type 1 Sickle cell anemia Huntington chorea
Diseases with Multifactorial Inheritance
Breast, ovarian, and colon cancers
Neurofibromatosis Type 1
Autosomal dominant inheritance Gene locus on chromosome 17q11 Mutation in the NF1 gene Gene product neurofibromin Café-au-lait spots- patches of hyperpigmentation Cutaneous and subcutaneous tumors
Neurofibromas: nerve sheath neoplasms that develop along the peripheral nerve fibers, and enlarge causing major disfigurement and bone erosion
Peripheral nerve structures damaged
Lisch nodule: small hamartoma in the iris of majority of patients
Neurofibromatosis Type 2
Central neurofibromatosis Few skin manifestations Primarily bilateral acoustic neuromas: deafness and intracranial and paraspinal neoplasms (meningiomas and gliomas) Autosomal dominant inheritance Gene locus- 22q11-13 Mutation in the NF2 gene Gene product merlin
Some people think it is responsible for elephant man’s disease: Proteus syndrome
Huntington chorea
A neurodegenerative disorder
Onset in third or fourth decade (20s/30s)
Characterized by: chorea (involuntary movements) and dementia
Autosomal dominant inheritance with complete penetrance= all who have the gene have the phenotype
Cause: mutation associated with trinucleotide repeat expansion in the Huntington gene (HD) on chromosome 4p
Genomics, Genetics, and Proteomics
The genome is the gene complement of an organism
Genome sequence= comprises the information of the entire genetic material of an organism
Genetics studies single genes and their role in heredity
Genomics= determination of the complete DNA sequence for all the genes of an organism (DNA,RNA, and protein level)
Functional genomics = functional proteomics
Aims for determination of proteome function
Proteome: all proteins encoded by the genome
Structural Genomics
Its goal: Determination of complete structure of entire proteome aka structure of proteins
Tools: X-ray crystallography, NMR spectroscopy
Indirect by interpreting DNA/mRNA sequence
Pharmacogenomics
Move away from “One-Size-Fits-All” therapeutics
Find correlation between DNA variants and individual responses to medication
Customize drugs for groups of patients that have similar response to medical treatment
Adverse responses to drugs kill over 100,000 yearly
Over 2 million people: have side effects or have no benefit at all
More effective, specific drugs require correlation between patient’s genetic make-up and response to drug
Drug-protein binding can have genetic correlation
Pharmacogenomics application: human gene therapy, protein therapy, drug targets combining chemistry and genomic, drug design
Ab and Cellular Immunotherapeutics
Certain gene families present themselves as targets for new drugs based on sequenced human genome
Protease- protease inhibitors
Small-molecule drugs
Associating targets with disease processes and pathways aims at producing specifically designed small molecule therapeutics
Antibody immunotherapeutics- monoclonal Abs and magic bullet (Ab + drug = target only bad cells)
Cellular immunotherapeutics: transfected WBC, dendritic cells
SNPs
Single nucleotide polymorphisms
One amino acid encoded by multiple codons
Do these differences matter in drug response?
This could offer an opportunity for drug adaptation to fit the individual’s genetic makeup
Personalized drugs supposed to work effectively and safely without side effects
Herceptin
Herceptin is the oldest Ab “personalized” drug
shrank tumors and prolonged lives
Prescribed for: metastatic breast cancer
Only 30% of patients have HER2 + tumors
Herceptin does not work for HER2- breast cancer patients
Monoclonal antibody specific for HER2 antigen
It binds to HER2 and slows tumor growth
Powerful Medicines
Drugs based on knowledge of disease association with:
Proteins (receptors and enzymes) and RNA molecules (genes)
Targeting of drugs to specific diseases
Improve therapeutic effect
Less collateral damage of healthy cells
result of pharmacogenomics
Higher Drug Safety
Matching drug therapy and disease to patient’s genetic profile leads to improved drug choice, individualized or almost
Safer drug: it works from the first time, adverse side effects less likely, faster recovery
due to pharmacogenomics
Drug Dosage Accuracy
Dosage is based now on: weight, age, gender
Adding patient’s genetics as a major factor for determining drug and dosage makes overdose less likely by taking into consideration:
Specific drug processing in the body of the individual and speed of drug metabolism
due to pharmacogenomics
Improved Disease Screening and Prevention
Genetics based prediction of disease susceptibility
Establishing MHC (HLA) ID of diseases that might affect an individual: diabetes, ankylosing spondylitis
Can facilitate: lifestyle fine tuning to genetic makeup, improved monitoring, better treatment, personal environment based on genetics aides in disease prevention or making it milder at least
due to pharmacogenomics
Recombinant Vaccines
Current vaccines often depend on whole killed or attenuated live (OPV polio vaccine; Sabin) pathogen
Unnecessarily challenge the immune system with too many antigens
DNA vaccines: elicit immune response specifically for exposed antigens with no infection, no disease from vaccine
Cover multiple strains of the infectious agent by combining genes on one plasmid
DNA storage: easy, stable and economic
Up to 6 months at rm. Temp.
due to pharmacogenomics