MétaCan
Menu
Retour à la cohorte
Enregistrement W2063397858 · doi:10.1097/00126334-200309010-00016

Polymorphism in Protease and Reverse Transcriptase and Phenotypic Drug Resistance of HIV-1 Recombinant CRF02_AG Isolates From Patients With No Prior Use of Antiretroviral Drugs in Abidjan, Côte d'Ivoire

2003· letter· en· W2063397858 sur OpenAlexaboutno aff
Christiane Adjé-Touré, Ebi Bilé, Marie-Yolande Borget, Kurt Hertog, Chantal Maurice, Monica Nolan, John N. Nkengasong

Notice bibliographique

RevueJAIDS Journal of Acquired Immune Deficiency Syndromes · 2003
Typeletter
Langueen
DomaineMedicine
ThématiqueHIV/AIDS drug development and treatment
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésGenotypingDrug resistanceVirologyReverse transcriptaseGenotypeBiologyHuman immunodeficiency virus (HIV)HIV drug resistanceCote d ivoireLentivirusGeneticsViral loadPolymerase chain reactionViral diseaseGeneAntiretroviral therapy

Résumé

récupéré en direct d'OpenAlex

To the Editor: Access to antiretroviral drug therapy (ART) is increasing in Africa. 1,2 For instance, today about 3200 HIV-infected patients have initiated ART in Côte d'Ivoire as part of the UNAIDS Drug Access Initiative. Because most drugs were designed, tested, and validated against HIV-1 subtype B viruses, a wider implementation of ART in Africa requires evaluation of the role of drug resistance since limited data exist regarding resistance profiles of HIV-1 non-B strains. In Côte d'Ivoire and most of West Africa, about 75% of HIV-1 strains are CRF02_AG, 3 which is a complex mosaic with subtypes A or G in the pol region. Limited studies of naive persons infected with HIV-1 non-B subtypes have examined mutational resistance profiles in the protease region 4,5 or protease and reverse transcriptase regions of HIV-1. 6,7 However, only limited phenotypic testing, which is a direct measure of resistance in the presence of drugs, has been done. Here we describe baseline polymorphism and phenotypic antiretroviral drug-resistant mutational profiles of patients infected with HIV-1 CRF02_ AG recombinant forms in Abidjan, Côte d'Ivoire. We analyzed ART drug resistance among a consecutively enrolled subset of 20 ART-naive HIV-1-infected patients who participated in the UNAIDS Drug Initiative (DAI). For sequencing of the Pol genes, we have used the TrueGene HIV-1 genotyping assay (version 2.5) (Visible Genetics, Toronto, Ontario, Canada). 3 Amino acid sequences obtained were compared with a reference HIV-1 sequence HXBr2, using the ADRA program from Los Alamos, New Mexico. Mutations were classified as primary or secondary and associated or not associated with ARV drug resistance, according to the consensus statement on ARV drug resistance. 3 The Bioedit (http://www.mbio.nesu.edu) program was used to align the 20 HIV pol sequence with the HXBr2 HIV-1 reference sequence. For identification of secondary HIV-1 resistance mutations or baseline polymorphisms we used the ADRA program from http://www.hiv.lanl.gov site. Phenotypic resistance was performed by a recombinant virus assay technology (Antivirogram, Virco NV, Mechelen, Belgium) as described previously. 8 Of the 20 patients, 8 (40%) were men; all the patients were infected with the HIV-1 CRF02_AG strains. Median age was 38 years (interquartile range [IQR] 30–40], median CD4+ T-cell count was 84 cells/μL (IQR, 13–137), and median viral load was 5.0 log10 RNA copies/mL (IQR, 5.0–6.0). We successfully sequenced all 20 protease and 19 RT regions. Compared with the HIV-1 subtype B (HXBr2) amino acid sequence, the RT gene was less conserved than protease gene. No primary genotypic resistance mutation was observed in any of the 20 protease or 19 RT sequences. Baseline polymorphisms were restricted to the following positions in the protease: M36I (n = 20, 100%), K20I (n = 19, 95%), L63P/H/L/S (n = 6, 30%), L10I/V (n = 4, 21%). Secondary mutations for the RT were at positions: L214F (n = 16, 84%), I135V (n = 12, 60%), R211K (n = 6, 31.6%), L283I (n = 2, 10.5%), V189I (n = 1, 5.3%), and W88S (n = 1, 5.3%) for the RT. Of the 20 patients' viruses, 12 (60%) had 2 protease mutations, and 8 (45%) had >2 mutations. Of the 19 RT sequences, 3 (15.8%) had a single mutation, 9 (47.4%) had 2 mutations, and 7 (36.8%) >2 mutations. We observed polymorphisms at positions not yet described to be genotypic resistance mutations in the protease and in the RT deduced amino acids. Of the 19 HIV-1 patients' viruses tested for phenotypic resistance, we observed low-level phenotypic resistance in 4 patients (21%) (Table 1). No correlation was observed between any secondary genotypic mutations and phenotypic resistance, as not all patients with the R211K, L214F, I135V, and L210M mutations had phenotypic resistance (Table 1). One patient had a 5.1-fold resistance to delarvidine (DLV) and had the I135V, the R211K, and L214F mutations. One patient had a 4.4-fold resistance to DLV but no sequence information was available for the RT gene. Lastly, one patient's virus had a 6-fold resistance to EFV and had the L214F and I135V mutations. Our results show that none of the 20 patients infected with the recombinant virus CRF02_AG had primary genotypic resistance mutations; however, low levels of phenotypic resistance were found in 4 patients' viruses. The high proportion of M36I (100%) and K20I (94%) in the protease region is comparable with what others have reported with other HIV-1 non-B subtypes. 5,6 We found a high percentage of the R211K (31.6%), L214F (84%), and I135V (60%) mutations in the 19 HIV-1 RT sequences analyzed. The R211K mutation has also been shown to be present in high percentage in non-B subtype. 6 The 135 and 283 RT positions have been strongly associated with reduced susceptibility to efavirenz, nevirapine, and delavirdine. 9 In the present study these mutations are observed in 13 samples but reduced susceptibility to drugs was observed in only 3 samples. Our findings that 4 ART-naive HIV-1 patients had low levels of phenotypic resistance are not clear. However, natural resistance to nevirapine (NVP) has been reported in HIV-1 ART-naive patients. 10 Taken together, our results suggest that persons infected with the CRF02_AG strains predominant in West Africa do not harbor naturally occurring genotypic mutations or phenotypic resistance and should respond appropriately to ART.TABLE 1: Phenotypic Sensitivity and Genotypic Mutations of 20 HIV-1 CRF02_AG Recombinant Viruses From Antiretroviral-Naive Patients in the UNAIDS-Drug Access Initiative in Abidjan, Cote d'IvoireChristiane Adjé-Touré Célestin E. Bilé Marie-Yolande Borget Kurt Hertog Chantal Maurice Monica L. Nolan John N. Nkengasong

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,002
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,011
Score d'incertitude au seuil0,023

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,002
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,001
Études des sciences et des technologies0,0010,000
Communication savante0,0010,000
Science ouverte0,0010,000
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0020,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,009
Tête enseignante GPT0,204
Écart entre enseignants0,195 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations24
Publié2003
Routes d'admission1
Résumé présentoui

Explorer davantage

Même revueJAIDS Journal of Acquired Immune Deficiency SyndromesMême sujetHIV/AIDS drug development and treatmentTravaux en français237 207