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Rami Kantor

Publications and source records attributed to Rami Kantor.

12 recordsLinked to original sources

K103N mutation in antiretroviral therapy-naive African patients infected with HIV type 1.

Most of the information about genetic sequencing and drug susceptibility of human immunodeficiency virus type 1 (HIV-1) is derived from the study of HIV-1 subtype B. Worldwide, most people infected with HIV-1 are infected with non-subtype B viruses and live in developing countries. We report 3 cases of antiretroviral-naive African immigrants infected with HIV-1 strains possessing the K103N mutation in the reverse transcriptase gene, which confers high-level resistance to all nonnucleoside reverse transcriptase inhibitors.

Amino Acid Substitution↗

Evolution of resistance to drugs in HIV-1-infected patients failing antiretroviral therapy.

BACKGROUND AND OBJECTIVE: The optimal time for changing failing antiretroviral therapy (ART) is not known. It involves balancing the risk of exhausting future treatment options against the risk of developing increased drug resistance. The frequency with which new drug-resistance mutations (DRM) developed and their potential consequences in patients continuing unchanged treatment despite persistent viremia were assessed. DESIGN: A retrospective study of consecutive sequence samples from 106 patients at one institution with viral load (VL) of more than 400 copies/ml, with no change in ART for more than 2 months despite virologic failure. METHODS: Two consecutive pol sequences, CD4 cell counts and VL were analyzed to quantify the development of new DRM and to identify changes in immunologic and virologic parameters. Genotypic susceptibility scores (GSS) and viral drug susceptibilities were calculated by a computer program (HIVDB). Poisson log-linear regression models were used to predict the expected number of mutations at the second time point. RESULTS: : After a median of 14 months of continued ART, 75% (80 of 106) of patients acquired new DRM and were assigned a significantly lower GSS, potentially limiting the success of future ART. The development of new DRM was proportional to the time between the two sequences and inversely proportional to the number of DRM in the first sequence. However, the development of DRM was not associated with significant changes in CD4 or VL counts. CONCLUSIONS: Despite stable levels of CD4 and VL over time, maintaining a failing therapeutic regimen increases drug resistance and may limit future treatment options.

Adult↗

Drug resistance in non-subtype B HIV-1.

Treatment of HIV-1 with antiretroviral therapy may select mutations in the pol gene associated with resistance to reverse transcriptase inhibitors and protease inhibitors. To provide durable clinical benefit, emergence of drug resistance is countered by prescription of alternative drug regimens. Data on sequential treatments that are effective after virologic failure and the selection of drug resistance is largely confined to HIV-1 subtype B, the clade that has circulated in North America and Europe. However, HIV-1 subtype B currently accounts for only 12% of the estimated 40 million HIV infected individuals worldwide. The global HIV-1 epidemic includes infection with nine identified HIV-1 group M subtypes (A-K), as well as distinct sub-subtypes and numerous chimerical or recombinant forms. Increasing access to treatment of HIV-1 in the developing world and increasing non-subtype B infection through travel and migration pose new questions about the susceptibility and response of these diverse HIV-1 viruses to antiretroviral drugs. Here we review HIV diversity and the published literature on drug resistance, comparing the known resistance mutations in individuals infected with subtype B to the growing experience in the treatment of non-subtype B HIV-1 worldwide.

Anti-HIV Agents↗

A mutated CCR5 gene may have favorable prognostic implications in MS.

The authors investigated the association between Delta32CCR5, a mutated allele of the chemokine receptor CCR5, and disease progression in 256 patients with multiple sclerosis (MS). The mutated allele frequency in the study cohort was 7.4%, similar to that reported in the general Israeli population. Progression to disability was prolonged in Delta32CCR5 homozygotes and heterozygotes compared with MS patients with the CCR5 wild-type genotype (p < 0.005). Mutated CCR5 allele may be considered a favorable prognostic factor in MS.

Adult↗

Extended spectrum of HIV-1 reverse transcriptase mutations in patients receiving multiple nucleoside analog inhibitors.

OBJECTIVE: To characterize reverse transcriptase (RT) mutations by their association with extent of nucleoside RT inhibitor (NRTI) therapy. To identify mutational clusters in RT sequences from persons receiving multiple NRTI. DESIGN: A total of 1210 RT sequences from persons with known antiretroviral therapy were analyzed: 641 new sequences were performed at Stanford University Hospital; 569 were previously published. METHODS: Chi-square tests and logistic regression were done to identify associations between mutations and NRTI therapy. Correlation studies were done to identify mutational clusters. The Benjamini-Hochberg procedure was used to correct for multiple comparisons. RESULTS: Mutations at 26 positions were significantly associated with NRTI including 17 known resistance mutations (positions 41, 44, 62, 65, 67, 69, 70, 74, 75, 77, 116, 118, 151, 184, 210, 215, 219) and nine previously unreported mutations (positions 20, 39, 43, 203, 208, 218, 221, 223, 228). The nine new mutations correlated linearly with number of NRTI; 777 out of 817 (95%) instances occurred with known drug resistance mutations. Positions 203, 208, 218, 221, 223, and 228 were conserved in untreated persons; positions 20, 39, and 43 were polymorphic. Most NRTI-associated mutations clustered into three groups: (i) 62, 65, 75, 77, 115, 116, 151; (ii) 41, 43, 44, 118, 208, 210, 215, 223; (iii) 67, 69, 70, 218, 219, 228. CONCLUSIONS: Mutations at nine previously unreported positions are associated with NRTI therapy. These mutations are probably accessory because they occur almost exclusively with known drug resistance mutations. Most NRTI mutations group into one of three clusters, although several (e.g., M184V) occur in multiple mutational contexts.

Base Sequence↗

Human immunodeficiency virus reverse transcriptase and protease sequence database.

The HIV reverse transcriptase and protease sequence database is an on-line relational database that catalogues evolutionary and drug-related sequence variation in the human immunodeficiency virus (HIV) reverse transcriptase (RT) and protease enzymes, the molecular targets of antiretroviral therapy (http://hivdb.stanford.edu). The database contains a compilation of nearly all published HIV RT and protease sequences, including submissions to GenBank, sequences published in journal articles and sequences of HIV isolates from persons participating in clinical trials. Sequences are linked to data about the source of the sequence, the antiretroviral drug treatment history of the person from whom the sequence was obtained and the results of in vitro drug susceptibility testing. Sequence data on two new molecular targets of HIV drug therapy--gp41 (cell fusion) and integrase--will be added to the database in 2003.

Amino Acid Sequence↗

High frequency of syncytium-inducing and CXCR4-tropic viruses among human immunodeficiency virus type 1 subtype C-infected patients receiving antiretroviral treatment.

Human immunodeficiency virus type 1 (HIV-1) subtype C viruses have been found to almost exclusively use the chemokine receptor CCR5 as a coreceptor for entry, even in patients with advanced AIDS. We have characterized subtype C virus isolates from 28 patients from Harare, Zimbabwe, 20 of whom were receiving antiretroviral treatment. Virus from 10 of the treated patients induced syncytium formation (SI virus) when cultured with MT2 cells. Only non-syncytium-inducing (NSI) virus was cultured from the peripheral blood mononuclear cells of the eight patients who had not received treatment. The majority of these subtype C SI viruses were capable of using both CCR5 and CXCR4 as coreceptors for viral entry, and the consensus V3 loop sequences from the SI viruses displayed a high net charge compared to those of NSI viruses. While those on treatment had reverse transcriptase (RT) and protease mutations, there was no clear association between RT and protease drug resistance mutations and coreceptor tropism. These results suggest that CXCR4-tropic viruses are present within the quasispecies of patients infected with subtype C virus and that antiretroviral treatment may create an environment for the emergence of CXCR4 tropism.

Amino Acid Sequence↗

Mutation patterns and structural correlates in human immunodeficiency virus type 1 protease following different protease inhibitor treatments.

Although many human immunodeficiency virus type 1 (HIV-1)-infected persons are treated with multiple protease inhibitors in combination or in succession, mutation patterns of protease isolates from these persons have not been characterized. We collected and analyzed 2,244 subtype B HIV-1 isolates from 1,919 persons with different protease inhibitor experiences: 1,004 isolates from untreated persons, 637 isolates from persons who received one protease inhibitor, and 603 isolates from persons receiving two or more protease inhibitors. The median number of protease mutations per isolate increased from 4 in untreated persons to 12 in persons who had received four or more protease inhibitors. Mutations at 45 of the 99 amino acid positions in the protease-including 22 not previously associated with drug resistance-were significantly associated with protease inhibitor treatment. Mutations at 17 of the remaining 99 positions were polymorphic but not associated with drug treatment. Pairs and clusters of correlated (covarying) mutations were significantly more likely to occur in treated than in untreated persons: 115 versus 23 pairs and 30 versus 2 clusters, respectively. Of the 115 statistically significant pairs of covarying residues in the treated isolates, 59 were within 8 A of each other-many more than would be expected by chance. In summary, nearly one-half of HIV-1 protease positions are under selective drug pressure, including many residues not previously associated with drug resistance. Structural factors appear to be responsible for the high frequency of covariation among many of the protease residues. The presence of mutational clusters provides insight into the complex mutational patterns required for HIV-1 protease inhibitor resistance.

Drug Resistance, Viral↗

Approaches for guideline versioning using GLIF.

Computer-interpretable clinical guidelines (CIGs) aim to eliminate clinician errors, reduce practice variation, and promote best medical practices by delivering patient-specific advice during patient encounters. Clinical guidelines are being regularly updated and revised to handle expanding clinical knowledge. When revising CIGs, much effort can be saved by specifying changes among versions instead of encoding revised guidelines from scratch. A representation of differences between versions could focus the process of re-implementing CIGs in a clinical environment and help users understand and embrace changes. Guideline versioning has not been adequately dealt with by existing CIG formalisms. We present three approaches for CIG versioning. Focusing on one approach, we developed a versioning tool based on version 3 of the GuideLine Interchange Format (GLIF3), and used it to represent two guideline versions for management of community-acquired pneumonia (CAP) and the changes between them.

Algorithms↗

HIV-1 subtype C reverse transcriptase and protease genotypes in Zimbabwean patients failing antiretroviral therapy.

HIV-1 drug resistance mutations have been identified and characterized mostly in subtype B HIV-1 infection. The extent to which antiretroviral drugs select for drug resistance mutations in non-subtype B HIV-1 is not known. We obtained HIV-1 reverse transcriptase (RT) and protease sequences from 21 Zimbabwean patients failing antiretroviral drug therapy. We compared these sequences with 56 published RT and protease subtype C sequences from untreated patients, 990 RT and 1140 protease subtype B sequences from treated patients, and 340 RT and 907 protease subtype B sequences from untreated patients and identified four mutation categories of subtype C HIV-1. Seventeen of the 21 patients (81%) had known drug resistance mutations. Mutations at 15 RT and 11 protease positions were more common in subtype C isolates than in subtype B isolates. HIV-1 subtype C-infected individuals receiving antiretroviral therapy develop many of the known subtype B drug resistance mutations. Comparison of subtype C RT and protease sequences with a large database of subtype B sequences identified subtype C-specific polymorphisms and candidate drug resistance mutations.

Anti-HIV Agents↗

Evolution of primary protease inhibitor resistance mutations during protease inhibitor salvage therapy.

In order to track the evolution of primary protease inhibitor (PI) resistance mutations in human immunodeficiency virus type 1 (HIV-1) isolates, baseline and follow-up protease sequences were obtained from patients undergoing salvage PI therapy who presented initially with isolates containing a single primary PI resistance mutation. Among 78 patients meeting study selection criteria, baseline primary PI resistance mutations included L90M (42% of patients), V82A/F/T (27%), D30N (21%), G48V (6%), and I84V (4%). Despite the switching of treatment to a new PI, primary PI resistance mutations present at the baseline persisted in 66 of 78 (85%) patients. D30N persisted less frequently than L90M (50% versus 100%, respectively; P < 0.001) and V82A/F/T (50% versus 81%, respectively; P = 0.05). HIV-1 isolates from 38 (49%) patients failing PI salvage therapy developed new primary PI resistance mutations including L90M, I84V, V82A, and G48V. Common combinations of primary and secondary PI resistance mutations after salvage therapy included mutations at amino acid positions 10, 82, and 46 and/or 54 in 16 patients; 10, 90, and 71 and/or 73 in 14 patients; 10, 73, 84, 90, and 46 and/or 54 in 5 patients; 10, 48, and 82 in 5 patients; and 30, 88 and 90 in 5 patients. In summary, during salvage PI therapy, most HIV-1 isolates with a single primary PI resistance mutation maintained their original mutations, and 49% developed additional primary PI resistance mutations. The persistence of L90M, V82A/F/T, G48V, and I84V during salvage therapy suggests that these mutations play a role in clinical resistance to multiple PIs.

Drug Resistance, Microbial↗

Polymorphism in HIV-1 non-subtype B protease and reverse transcriptase and its potential impact on drug susceptibility and drug resistance evolution.

HIV-1 non-subtype B viruses are predominant worldwide. At least 9 different HIV-1 group M subtypes and 14 circulating recombinant forms differ from one another by 10-15% in their pol gene, which includes the coding regions for the viral protease and reverse transcriptase (RT), the current targets of antiretroviral drugs. Inter-subtype genotypic diversity includes polymorphism at amino acid residues known to be related to drug resistance in HIV-1 subtype B. Whether polymorphism alters protease and RT function, drug susceptibility, or clinical response to treatment, is unclear. Worldwide dissemination of non-subtype B viruses and increasing availability of antiretroviral drugs in the developing world will expand drug use and the likelihood of drug resistance in non-subtype B viruses. In this review we define and characterize inter-subtype RT and protease polymorphism, and examine the evidence for genotypic and phenotypic differences between HIV-1 subtypes as well as the potential for different clinical responses and evolution of drug resistance among non-B infected individuals.

Anti-HIV Agents↗