Gene/Protein Disease Symptom Drug Enzyme Compound
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Query: EC:2.7.7.49 (reverse transcriptase)
 31,746 document(s) hit in 31,850,051 MEDLINE articles (0.00 seconds)

Hepatitis C virus (HCV) infection is common in hemodialysis patients, as determined by antibody assays and qualitative polymerase chain reaction (PCR) analysis of serum HCV RNA. To further characterize HCV infection in this population, we measured the viral load in infected hemodialysis patients by a quantitative, competitive PCR assay (QC-PCR) for HCV RNA. Hepatitis C virus RNA levels were correlated with serologic, biochemical, and demographic features of a cohort of hemodialysis patients. Sera from 208 hemodialysis patients were screened for HCV RNA (5' conserved region) by reverse transcriptase PCR (RT-PCR) and HCV-specific antibody. Forty-four patients were antibody positive (21%); among these patients, 34 (77%) were HCV RNA positive. No viremic, seronegative patients were identified. Hepatitis C virus RNA levels quantitated by QC-PCR ranged from 3 x 10(5) to 10(8) molecules of HCV RNA/mL. Male patients had significantly higher mean and median HCV RNA levels (10(7) molecules/mL) compared with female patients (3.6 x 10(6) molecules/mL and 3 x 10(6) molecules/mL, respectfully; P = 0.02). No other demographic or clinical feature of this cohort correlated with HCV RNA levels. Intravenous drug abuse was the most frequently identified risk factor (29% of seropositive patients) for infection with HCV in this population. No association between HCV RNA levels and hepatic enzyme levels (alanine aminotransferase, aspartate aminotransferase, gamma-glutamyl transferase, alkaline phosphatase) was apparent. Hepatitis C virus infection is highly prevalent in our hemodialysis population, and hemodialysis patients, particularly males, have high levels of HCV in serum.(ABSTRACT TRUNCATED AT 250 WORDS)
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PMID:Quantitation of hepatitis C viral RNA in sera of hemodialysis patients: gender-related differences in viral load. 797 21

Quantification of HIV-1 is important to quantify risk for disease progression as well as for acquiring infection associated with drug abuse. Prior quantification methods include immune and enzymatic procedures, e.g., quantifying HIV-1 p24 protein by ELISA and the Reverse Transcriptase by enzymatic assay. Improved quantification of HIV-1 RNA and cDNA was established using PCR. This paper describes a real-time PCR technique using the Applied Biosystems 5700 Sequence Detection System and Taqman reverse transcriptase PCR. We initially standardized the PCR method using ribosomal-RNA to obtain relative quantification. Pure gag RNA was used for standard curves, controls, and to obtain absolute RNA quantification. Pure HIV gag RNA was produced by T7-directed transcription of the plasmid pWISP98-85. Detailed statistical analyses describe using absolute standard curves, and intraassay and interassay coefficients of variation to validate the methods. The presented method is highly reproducible and the assay's performance is comparable to prior assays. The assay is validated with an 8-log range down to 80 copies.
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PMID:Quantification of HIV GAG RNA using real time reverse transcriptase PCR. 1557 56

As millions of patients with HIV/AIDS are put on treatment with the highly active antiretroviral therapy (HAART), drug interactions have become a major concern for healthcare providers. The use of HAART as a combination of 3 - 4 drugs creates potential for antiretroviral (ARV) drug interactions, and this is complicated by the addition of other drugs for treatment of other ailments such as comorbid chronic conditions and/or opportunistic infections. It has been observed that most ARV drug interactions involve drugs that interact with CYP enzymes. Specifically, protease inhibitors (PIs) and non-nucleoside reverse transcriptase inhibitors (NNRTIs) are the most implicated in ARV drug interactions and are metabolised by CYP isoenzymes. Because PIs and NNRTIs can also inhibit and induce some of the CYP isoenzymes, they often interfere with the metabolism of several drugs eliminated by CYP isoenzymes, and the converse is true. The drug groups most implicated in CYP-mediated interactions with ARV drugs include: rifamycins; statins; antibiotics; antifungals; antiulcer drugs; contraceptives; immunosuppressant drugs; drugs for erectile dysfunction; drugs of abuse; drugs for treatment of addiction; benzodiazepines; anticonvulsants; psychotropic agents; herbal products; antiarrhythmias; antimalarials; anticoagulants; and antiasthma drugs. Unfortunately, this information is published in different resources where it may not be accessible to many, and is also liable to misinterpretation if read in isolation. Here, this information has been pooled and discussed with a hope that it will enable appropriate use in patients with HIV/AIDS. The review was confined to CYP-associated ARV drug interactions to emphasise that prevention of ARV drug interactions requires thorough knowledge of CYP function and regulation by healthcare providers.
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PMID:The role of cytochrome P450 in antiretroviral drug interactions. 1769 8

To estimate the prevalence of human immunodeficiency virus (HIV) drug resistance (DR) in a population of men who have sex with men (MSM) from Henan Province of China and to identify the DR-associated HIV-1 mutations in these MSM. The HIV-positive status of the MSM subjects in this study was confirmed using ELISA and Western blotting. The MSM subjects were classified into non-treatment group (n = 106) and treatment group (n = 313). CD4(+) T-lymphocyte counts were obtained by flow cytometry, and viral load was measured by branched DNA (bDNA) signal amplification assay. HIV-1 genotypic resistance tests were performed by sequence analysis of the HIV-1 protease and reverse transcriptase genes. In the non-treatment group, 15 patients (14.2 %) displayed DR to non-nucleoside reverse transcriptase inhibitor (NNRTI). In the treatment group, the failure rate of viral suppression was 38.33 % and the DR rate was 33.2 %, which was higher than the rate observed in the non-treatment group (P < 0.05). The incidence of mutations corresponding to NNRTI resistance was significantly higher than the incidence of mutations corresponding to nucleoside reverse transcriptase inhibitor (NRTI) resistance (32.9 % vs. 26.5 %) in the cohort. After antiretroviral therapy (ART), the frequencies of K103N, G190A, Y181C, and V106A mutations were highly elevated. Logistic regression analysis results showed that duration of treatment, poor treatment compliance, drug abuse and homosexual orientation are the major risk factors for DR in this MSM population (all P < 0.05). Our results showed that DR-associated mutations in the HIV-1-infected MSM population increased significantly after ART. Furthermore, duration of treatment, poor treatment compliance, drug abuse and homosexual orientation were identified as the risk factors for DR in the MSM population from Henan Province in China.
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PMID:The prevalence and determinants of drug-resistance-associated mutations in the HIV-1-infected MSM population of Henan Province in China. 2607 16