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1.
J Parkinsons Dis ; 12(5): 1645-1653, 2022.
Article in English | MEDLINE | ID: mdl-35466950

ABSTRACT

BACKGROUND: More efficient screening methods are needed to improve the ability to identify and follow genetic cohorts in Parkinson's disease (PD). OBJECTIVE: To explore the use of the electronic medical records (EMRs) to identify participants with PD. METHODS: Using an algorithm previously developed in collaboration with Maccabi Healthcare Services (MHS), approximately 5,200 participants with PD were identified, more than 3,200 were screened, and 837 participants were enrolled and genotyped for leucine-rich repeat kinase 2 (LRRK2) and beta-glucocerebrosidase (GBA) variants. Questionnaires were completed to ascertain Ashkenazi Jewish (AJ) ancestry and family history of PD. RESULTS: Among 837 participants with PD, 82% were 65 years and older and 72% had a family history of AJ ancestry. Among those with AJ ancestry, 15.6% reported having relatives with PD. The frequency of observed mutations for LRRK2 and GBA genes combined was approximately 15.4%. The frequency of observed LRRK2 mutation was 6.1% overall and 7.2% from those with AJ ancestry; and for GBA mutation was 9.3% overall and 11.2% from those with AJ ancestry. CONCLUSION: Although the frequency of observed mutations in this study was lower than anticipated, mutation carriers were enriched among those with a family history of AJ ancestry increasing nearly 2-3-fold, from 3% -7% (LRRK2) and 4% -11% (GBA). The identification (and selection) of PD patients through EMRs prior to genotyping is a viable approach, to establish a genetically defined cohort of patients with PD for clinical research.


Subject(s)
Parkinson Disease , Electronic Health Records , Feasibility Studies , Glucosylceramidase/genetics , Humans , Leucine-Rich Repeat Serine-Threonine Protein Kinase-2/genetics , Mutation , Parkinson Disease/genetics
2.
Pharmacogenet Genomics ; 17(8): 657-66, 2007 Aug.
Article in English | MEDLINE | ID: mdl-17622942

ABSTRACT

Genetic-based optimization of treatment prescription is becoming a central research focus in the management of chronic diseases, such as multiple sclerosis, which incur a prolonged drug-regimen adjustment. This study was aimed to identify genetic markers that can predict response to glatiramer acetate (Copaxone) immunotherapy for relapsing multiple sclerosis. For this purpose, we genotyped fractional cohorts of two glatiramer acetate clinical trials for HLA-DRB1*1501 and 61 single nucleotide polymorphisms within a total of 27 candidate genes. Statistical analyses included single nucleotide polymorphism-by-single nucleotide polymorphism and haplotype tests of drug-by-genotype effects in drug-treated versus placebo-treated groups. We report the detection of a statistically significant association between glatiramer acetate response and a single nucleotide polymorphism in a T-cell receptor beta (TRB@) variant replicated in the two independent cohorts (odds ratio=6.85). Findings in the Cathepsin S (CTSS) gene (P=0.049 corrected for all single nucleotide polymorphisms and definitions tested, odds ratio=11.59) in one of the cohorts indicate a possible association that needs to be further investigated. Additionally, we recorded nominally significant associations of response with five other genes, MBP, CD86, FAS, IL1R1 and IL12RB2, which are likely to be involved in glatiramer acetate's mode-of-action, both directly and indirectly. Each of these association signals in and of itself is consistent with the no-association null-hypothesis, but the number of detected associations is surprising vis-à-vis chance expectation. Moreover, the restriction of these associations to the glatiramer acetate-treated group, rather than the placebo group, clearly demonstrates drug-specific genetic effects. These findings provide additional progress toward development of pharmacogenetics-based personalized treatment for multiple sclerosis.


Subject(s)
Multiple Sclerosis, Relapsing-Remitting/drug therapy , Multiple Sclerosis, Relapsing-Remitting/genetics , Peptides/therapeutic use , Confidence Intervals , Genetic Markers , Genetic Predisposition to Disease , Glatiramer Acetate , HLA-DR Antigens , HLA-DRB1 Chains , Haplotypes , Humans , Logistic Models , Odds Ratio , Pharmacogenetics , Placebos , Polymorphism, Single Nucleotide/genetics
3.
Exp Cell Res ; 281(1): 148-56, 2002 Nov 15.
Article in English | MEDLINE | ID: mdl-12441138

ABSTRACT

Accumulation of putrescine in ornithine decarboxylase overproducing cells provokes apoptotic death that is inhibited by 2-difluoromethylornithine, a specific inhibitor of ODC. The apoptotic process provoked by putrescine involves the release of cytochrome c from the mitochondria and activation of caspases cascades demonstrated by the cleavage of caspase-2, polyA-ribose polymerase (PARP), and proteolytic cleavage of the translation initiation factor 4G (eIF4G). The general caspases inhibitor BD-fmk inhibits PARP cleavage but not cell death. Aminoguanidine, an inhibitor of amine oxidases, inhibits the cleavage of PARP and cell death, whereas the antioxidant BHA inhibits PARP cleavage but not cell death. The intracellular Ca2+ chelator 1,2-bis(o-aminophenoxy)ethane-N,N,N',N'-tetraacetic acid tetra(acetoxymethyl) ester (BAPTA/AM) inhibits both PARP cleavage and cell death. Although the ability of BAPTA/AM to inhibit the induction of apoptosis may suggest that the accumulating putrescine stimulates the release of Ca2+, such a Ca2+ elevation was not observed. We suggest that the accumulation of putrescine leads to oxidative stress that causes cell death.


Subject(s)
Apoptosis/drug effects , Egtazic Acid/analogs & derivatives , Multiple Myeloma/pathology , Ornithine Decarboxylase/metabolism , Oxidative Stress/drug effects , Putrescine/pharmacology , Animals , Blotting, Western , Calcium/antagonists & inhibitors , Calcium/metabolism , Caspase 2 , Caspases/metabolism , Chelating Agents/pharmacology , Cytochrome c Group/metabolism , Egtazic Acid/pharmacology , Enzyme Inhibitors/pharmacology , Guanidines/pharmacology , Humans , Mice , Mitochondria/metabolism , Multiple Myeloma/enzymology , Nitric Oxide Synthase/antagonists & inhibitors , Ornithine Decarboxylase/genetics , Poly(ADP-ribose) Polymerases/metabolism , Polyamines/metabolism , Time Factors , Tumor Cells, Cultured/drug effects , Up-Regulation , tert-Butylhydroperoxide/pharmacology
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