18 resultados para Drug Therapy.


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Urines from patients administered mutagenic antineoplastic drugs were significantly mutagenic in the Ames assay, and hence may pose a genotoxic hazard to hospital personnel or family members caring for the patient. The urines were tested for mutagenicity in several different strains of Salmonella typhimurium that were uvr positive or negative (TA98, TA100, TA102, UTH8413, UTH8414). The urines were fractionated by high pressure liquid chromatography (HPLC) and the fractions assayed for mutagenicity in the strains in which the whole urine was mutagenic. Only fractions of urines containing the parent compound (cisplatin, doxorubicin, or mitomycin) were mutagenic; no other fraction showed significant mutagenicity. However, urine containing cyclophosphamide had two fractions that were mutagenic. One fraction, the fraction containing cyclophosphamide, required metabolic activation for mutagenicity. The other fraction did not require activation for mutagenicity.^ The chemical and mutagenic stability of these urines at room temperature was assayed over a 14 day period. The parent compound degraded within the first seven days, but the urines remained mutagenic. Cis-platinum was chemically stable in the urine; however, the urine decreased in mutagenicity. The decrease was probably the result of stable ligands binding to the platinum.^ Inactivation methods were developed to reduce the genotoxic hazard. Urine containing cisplatin was inactivated by complexing the cisplatin with diethyldithiocarbamate (DDTC). Oxidation with NaOCl of urines containing mitomycin and doxorubicin (sodium thiosulfate must be added to the doxorubicin urine) results in mutagenic inactivation. Inactivation of urine containing cyclophosphamide requires oxidation with alkaline potassium permaganate and trapping of active degradation products with sodium thiosulfate. Urines containing these drugs can be inactivated, but not always by the same method that inactivates the drug alone in solution. Therefore, in the future development of inactivation methods, both chemical and mutagenic assays are necessary to determine effectiveness. Methods of inactivation of mutagenic excreta developed in this study are both effective and practical. ^

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Response to pharmacological treatment is variable among individuals. Some patients respond favorably to a drug while others develop adverse reactions. Early investigations showed evidence of variation in genes that code for drug receptors, drug transporters, and drug metabolizing enzymes; and pharmacogenetics appeared as the science that studies the relationship between drug response and genetic variation. Thiazide diuretics are the recommended first-line monotherapy for hypertension (i.e. SBP>140 or DBP>90). Even so, diuretics are associated with adverse metabolic side effects, such as hyperglycemia, which increase the risk of developing type 2 diabetes. Published approaches testing variation in candidate genes (e.g. the renin-angiotensin-aldosteron system (RAAS) and salt–sensitivity genes) have met with only limited success. We conducted the first genome wide association study to identify genes influencing hyperglycemia as an adverse effect of thiazide diuretics in non-Hispanic White hypertensive patients participating in the Genetic Epidemiology of Responses to Antihypertensives (GERA) and Pharmacogenomic Evaluation of Antihypertensive Responses (PEAR) clinical trials. No SNP reached the a priori defined threshold of statistical significance (p<5x10-8). We detected 50 SNPs in 9 genomic regions with suggestive p-values (p<1x10-5). Two of them, rs6870564 (p-value=3.28 X 10-6) and rs7702121 (p-value=5.09 X 10-6), were located close to biologic candidate genes, MYO and MGAT1, and one SNP in a genomic region in chromosome 6, rs7762018 (p-value=4.59 X 10-6) has been previously related to Insulin-Dependent Diabetes Mellitus (IDDM8). I conclude that 1) there are unlikely to be common SNPs with large effects on the adverse metabolic effects to hydrochlorothiazide treatment and 2) larger sample sizes are needed for pharmacogenetic studies of inter-individual variation in response to commonly prescribed medication.

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Prostate cancer (PCa) is one of the leading malignancies affecting men in the Western world. Although tremendous effort has been made towards understanding PCa development and developing clinical treatments in the past decades, the exact mechanisms of PCa are still not clearly understood. Emerging evidence has postulated that a population of stem cell-like cells inside a tumor, termed ‘cancer stem cells (CSCs)’, may be the cells responsible for tumor initiation, progression, recurrence, metastasis and therapy resistance. Like CSC studies in other cancer types, it has been reported that PCa also contains CSCs. However, there remain several unresolved questions that need to be clarified. First, the relationship between prostate CSCs (PCSCs) and therapy resistance (chemo- and radio-) is not known. Herein, we have found that not all CSCs are drug-tolerant, and not all drug-tolerant cells are CSCs. Second, whether primary human PCa (HPCa) actually contain PCSCs remains unclear, due to the well-known fact that we have yet to establish a reliable assay system that can reproducibly and faithfully reconstitute tumor regeneration from single HPCa cells. Herein, after utilizing more than 114 HPCa samples we have provided evidence that immortalized bone marrow-derived stromal cells (Hs5) can help dissociated HPCa cells generate undifferentiated tumors in immunodeficient NOD/SCID-IL2Rγ-/- mice, and the undifferentiated PCa cells seem to have a survival advantage to generate tumors. Third, the evolution of PCa from androgen dependent to the lethally castration resistant (CRPC) stage remains enigmatic, and the cells responsible for CRPC development have not been identified. Herein, we have found a putative cell population, ALDH+CD44+α2β1+ PCa cells that may represent a cell-of-origin for CRPC. Taken together, our work has improved our understanding of PCSC properties, possibly highlighting a potential therapeutic target for CRPC.