Identifying cardiovascular risk factors among patients withchronic kidney disease (CKD) is potentially useful for two mainreasons. First, such risk factors may be used to predict thefuture risk of an event, which may help physicians to plan treatment.Second, they may be targets for intervention to prevent suchevents. It is now clear that a large number of risk factorsindependently predict the risk of cardiovascular outcomes amongdialysis patients [1] and among patients with lesser degreesof renal impairment [2]. But, although a risk score based onindependent risk factors can be assembled without particularregard to whether they are causal, treatments which modify aparticular risk factor will only be effective for the preventionof vascular disease if that risk factor is a cause of such disease.   The starting point for identifying risk factors that might proveto be  相似文献   
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71.
Patients with very active rheumatoid arthritis that was being treated only with nonsteroidal antiinflammatory drugs had increased numbers of peripheral blood OKM1 + lymphocytes. In 3 patients, 90° light scatter analysis revealed a double lymphocyte peak. When sorted, the high scatter peak contained a large percentage of granular lymphocytes. Patients with mild-to-moderately active rheumatoid arthritis had normal levels of OKM1 + lymphocytes, but when the drugs were discontinued, the activity of the disease and the numbers of OKM1 + cells increased. Administration of piroxicam was associated with clinical improvement and a decrease in levels of OKM1 + cells. OKM1 + granular lymphocytes are increased in some rheumatoid arthritis patients, and their numbers may correlate with clinical disease activity and/or therapy.  相似文献   
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Marek’s disease virus (MDV) is a cell-associated alphaherpesvirus that induces rapid-onset T-cell lymphomas in poultry. MDV isolates vary greatly in pathogenicity. While some of the strains such as CVI988 are non-pathogenic and are used as vaccines, others such as RB-1B are highly oncogenic. Molecular determinants associated with differences in pathogenicity are not completely understood. Comparison of the genome sequences of phenotypically different strains could help to identify molecular determinants of pathogenicity. We have previously reported the construction of bacterial artificial chromosome (BAC) clones of RB-1B from which fully infectious viruses could be reconstituted upon DNA transfection into chicken cells. MDV reconstituted from one of these clones (pRB-1B-5) showed similar in vitro and in vivo replication kinetics and oncogenicity as the parental virus. However, unlike the parental RB-1B virus, the BAC-derived virus showed inability to spread between birds. In order to identify the unique determinants for oncogenicity and the ‘‘non-spreading phenotype’’ of MDV derived from this clone, we determined the full-length sequence of pRB-1B-5. Comparative sequence analysis with the published sequences of strains such as Md5, Md11, and CVI988 identified frameshift mutations in RLORF1, protein kinase (UL13), and glycoproteins C (UL44) and D (US6). Comparison of the sequences of these genes with the parental virus indicated that the RLORF1, UL44, and US6 mutations were also present in the parental RB-1B stock of the virus. However with regard to UL13 mutation, the parental RB-1B stock appeared to be a mixture of wild type and mutant viruses, indicating that the BAC cloning has selected a mutant clone. Although further studies are needed to evaluate the role of these genes in the horizontal-spreading defective phenotype, our data clearly indicate that mutations in these genes do not affect the oncogenicity of MDV.  相似文献   
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   Why measure risk factors for vascular disease?    Limitations of dialysis studies for identifying causes of vascular disease
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