Literature DB >> 25889017

High level of HIV-1 drug resistance among patients with HIV-1 and HIV-1/2 dual infections in Guinea-Bissau.

Sanne Jespersen1,2, Martin Tolstrup3, Bo Langhoff Hønge4,5,6, Candida Medina7, David da Silva Té8, Svend Ellermann-Eriksen9, Lars Østergaard10, Christian Wejse11,12, Alex Lund Laursen13.   

Abstract

BACKGROUND: With the widespread use of antiretroviral treatment (ART) in Africa, the risk of drug resistance has increased. The aim of this study was to evaluate levels of HIV-1 resistance among patients with HIV-1 and HIV-1/2 dual infections, treated with ART, at a large HIV clinic in Guinea-Bissau.
FINDINGS: Patients were selected from the Bissau HIV cohort. All patients had HIV-1 or HIV-1/2 dual infection, a CD4 cell count performed before and 3-12 months after starting ART, and a corresponding available plasma sample. We measured viral load in patients with HIV-1 (n = 63) and HIV-1/2 dual (n = 16) infections a median of 184 days after starting ART (IQR: 126-235 days). In patients with virological failure (defined as viral load >1000 copies/ml) and with sufficient plasma available, we performed an HIV-1 genotypic resistance test. Thirty-six patients (46%) had virological failure. The CD4 cell count did not predict treatment failure. Of the 36 patients with virological failure, we performed a resistance test in 15 patients (42%), and nine patients (9/15; 60%) had resistance mutations. The most common mutation was K103N, which confers high-level resistance to non-nucleoside reverse transcriptase inhibitors (NNRTI). No major mutations against protease inhibitors (PI) were found.
CONCLUSIONS: Our results showed that patients with HIV-1 and HIV-1/2 dual infections in Guinea-Bissau had a high rate of virological failure and rapid development of NNRTI resistance. It remains to be determined whether a more robust, PI-based treatment regimen might benefit this population more than NNRTIs.

Entities:  

Mesh:

Substances:

Year:  2015        PMID: 25889017      PMCID: PMC4357169          DOI: 10.1186/s12985-015-0273-9

Source DB:  PubMed          Journal:  Virol J        ISSN: 1743-422X            Impact factor:   4.099


Findings

Widespread use of antiretroviral treatment (ART) in Africa has increased the risk of drug resistance [1]. Factors that contribute to drug resistance include lack of plasma viral load monitoring [2], treatment interruptions due to drug stocking discontinuities [3], and drug interactions [4]. Most patients in Africa initiate ART with two nucleoside/nucleotide reverse transcriptase inhibitors (NRTIs) and one non-nucleoside reverse transcriptase inhibitor (NNRTI) [5]. Africans have a high risk of developing the K103N NNRTI mutation, which is connected to poor adherence, due to a common genetic polymorphism that causes slow plasma NNRTI clearance and functional NNRTI monotherapy, when treatment is interrupted [6]. The West African country, Guinea-Bissau, has the highest HIV-2 prevalence worldwide [7-9]. HIV-2 is naturally resistant to NNRTIs [10], hence, patients with HIV-2 or HIV-1/2 dual infections must be treated with a protease inhibitor (PI)-based regimen. Differences in HIV-1 and HIV-2 resistance patterns may lead to complex drug resistance challenges for ART options in HIV-1/2 dual infections. This study is the first to report data on HIV resistance in Guinea-Bissau among patients with HIV-1 and HIV-1/2 dual infections. Based on data from neighboring countries, we suggest that HIV resistance may be a substantial problem [11-13].

Methods

This retrospective, follow-up study accessed data from a clinical HIV cohort at Hospital Nacional Simão Mendes, in Bissau, the capital of Guinea-Bissau [14]. Whenever a CD4 cell count is performed, surplus plasma is stored in a biorepository in Aarhus, Denmark. From this repository, we identified data for adult patients with HIV-1 or HIV-1/2 dual infections that had CD4 cell counts and stored plasma samples acquired before and after 3–12 months of ART. HIV-1/HIV-2 discrimination was performed with a SD Bioline HIV 1/2 3.0 test (Standard Diagnostics Inc, Kyonggi-do, South Korea). All stored plasma from patients with HIV-1/2 dual infections underwent an immunofluorescence discriminatory HIV-test (INNO-LIA; Innogenetics, Ghent, Belgium) [15]. When INNO-LIA and Bioline produced divergent results, INNO-LIA was considered the gold standard. HIV-1 viral load was measured at the Department of Clinical Microbiology, Aarhus University Hospital, Denmark, with COBAS® AmpliPrep/COBAS® TaqMan® (Roche Diagnostics GmbH, Mannheim, Germany). The lower limit of detection was 20 copies/ml. Virological failure was defined as a viral load >1000 copies/ml [5]. When sufficient plasma was available, we studied HIV-1 genotypic resistance in patients with virological failure by sequencing the protease and reverse transcriptase genes with ViroSeq® 2.0 (Abbott Laboratories, Illinois, USA). Mutations were classified as minor or major according to ART resistance consensus statements from the Stanford HIV RT and Protease Sequence database [16]. Subtype classifications were extracted from the Stanford database. We used the Chi-square test for categorical variables to compare characteristics of patients with HIV-1 and HIV-1/2 dual infections, and patients with or without virological failure. We compared continuous variables with the Wilcoxon rank-sum test (non-normal distributions). The significance level was set at 0.05. Statistical analyses were performed with Stata IC 11.0 (StataCorp, College Station, Texas, USA). All patients provided voluntary, signed, dated, informed consent, or fingerprints when illiterate, prior to enrolment into the cohort. The ongoing HIV cohort studies were approved by the national ethics committee of Guinea-Bissau (Parecer NCP/No.15/2007).

Results

Viral load was measured in stored plasma samples from patients with HIV-1 (n = 63) and HIV-1/2 dual (n = 16) infections, acquired before and 3 to 12 months after (median 184 days, interquartile range (IQR): 126–235 days) starting ART (Table 1). No patient was pregnant and no information was available regarding ART during previous pregnancies.
Table 1

Patient characteristics

Characteristic Number of patients (%), unless other indicated (total N = 79)
Sex
Females47 (59)
Males32 (41)
Age at inclusion, median years (IQR)36 (28–43)
HIV-type
HIV-163 (80)
HIV-1/216 (20)
Baseline CD4 cell count, median cells/μl (IQR)134 (62–207)
Baseline viral load, median copies/ml (IQR)73,473 (3,798-264,033)
Baseline ART
2 NRTIs + 1 NNRTI53 (67)
2 NRTIs + 1 PI23 (29)
3 NRTIs3 (4)
Post ART CD4 cell count, median cells/μl (IQR)217 (157–310)
Post ART viral load, median copies/ml (IQR)203 (0–25.153)

IQR: Interquartile range.

Patient characteristics IQR: Interquartile range. Patients with HIV-1 and HIV-1/2 dual infections showed no significant differences in HIV-1 viral load (85,373 vs. 39,555 copies/ml, p = 0.37) or CD4 cell count (114 vs. 177 cells/μl, p = 0.10). At 3–12 months after starting ART, 36 patients (46%) developed virological failure (Figure 1), but these patients were distributed similarly between HIV-1 and HIV-1/2 dual infection groups (30/63 = 48% vs. 6/16 = 38%, respectively; p = 0.47). The presence or absence of virological failure did not affect the proportion of patients (14% vs. 16%, respectively; p = 0.77) that showed decreased CD4 cell counts after starting ART.
Figure 1

Flow chart of patient selection. ART: antiretroviral treatment; NNRTI: non-nucleoside reverse transcriptase inhibitors; NRTI: nucleoside/nucleotide reverse transcriptase inhibitors; PI: protease inhibitors.

Flow chart of patient selection. ART: antiretroviral treatment; NNRTI: non-nucleoside reverse transcriptase inhibitors; NRTI: nucleoside/nucleotide reverse transcriptase inhibitors; PI: protease inhibitors. Of the 36 patients with virological failure, we performed successful resistance tests in 15 (42%). Of these, eight (60%) showed resistance to at least one antiretroviral drug: one (7%) patient was resistant to NRTIs, four (27%) to NNRTIs, and four (27%) to both. No patient showed major PI resistance. Twelve patients were taking NNRTIs; of these, seven (58%) were resistant to NNRTIs. The most common NNRTI resistance mutation was K103N (5/12, 42%), which caused high-level resistance against efavirenz and nevirapine. One male patient with NNRTI resistance had not received NNRTI treatment but PI treatment. Among the 15 patients tested for resistance (Table 2), the most common NRTI mutation was M184V (4/15 patients, 27%). Only one patient (1/15, 7%) had thymidine analogue mutations (TAMs). All resistance mutations are shown in Table 2. The most common HIV-1 subtype was circulating recombinant form 02_AG (CRF02_AG), found in 13/15 (87%) patients. After one year of ART, no patient had switched to second-line therapy.
Table 2

Distribution of resistance-associated mutations among 15 patients with viral loads > 1000 copies/ml, at 3–12 months after ART initiation

Patient Sex HIV type HIV-1 subtype Initial CD4 Baseline viral load ART Time from ART to re-sistance test (days) NNRTI resistance NRTI resistance PI resistance Predicted resistance to the following agents
1MHIV-1CRF02_AG32132,355AZT + 3TC + EFV319K103NM184M/VNoneEFV/NVP, 3TC/FTC.
2FHIV-1CRF02_AG3361,978AZT + 3TC + NVP362K103N Y188CYNoneL10I/V/F/R/YEFV/NVP. Resistance to most PIs when present with other mutations.
3FHIV-1/2CRF02_AG27911,348AZT + 3TC + IND/r177NoneNoneNoneNone
4MHIV-1/2CRF02_AG50360,158AZT + 3TC + IND/r161K101ENoneK20R/M/I/T/VIntermediate NVP. Low-level ETR, RPV, EFV. Potentially low-level NFV resistance.
5MHIV-1CRF02_AG20755,650AZT + 3TC + EFV114NoneNoneNoneNone
6MHIV-1CRF02_AG46360,978AZT + 3TC + EFV203K103N K101E/KM184MVNoneHigh-level 3TC/FTC.
Low-level ddI, ABC.
High-level EFV/NVP.
Low-level EFV, ETR, RPV.
7FHIV-1A40216,270AZT + 3TC + NVP126K103NM184VL10I/V/F/R/YHigh-level 3TC/FTC.
High-level EFV/NVP.
Resistance to most PIs when present with other mutations.
8FHIV-1/2CRF02_AG25846,763AZT + 3TC + IND/r189NoneNoneNoneNone.
9MHIV-1CRF02_AG159869,295AZT + 3TC + EFV281NoneNoneNoneNone.
10FHIV-1CRF02_AG94485,983AZT + 3TC + NVP98V106A Y188CNoneK20R/M/I/T/VHigh-level NVP, low-level EFV. Potentially low-level NFV resistance.
11FHIV-1CRF02_AG149212,560AZT + 3TC + NVP344K103NNoneNoneHigh-level EFV/NVP.
12MHIV-1CRF02_AG10734,698AZT + 3TC + EFV193NoneM184MV M184 V/IK20R/M/I/T/VHigh-level 3TC/FTC.
Low-level ABC, ddI. Potentially low-level NFV resistance.
13FHIV-1A7125,000,000D4T + 3TC + NVP98Y181CT69DL10I/V/R/YLow-level ddI.
High-level NVP.
Resistance to most PIs when present with other mutations.
14MHIV-1CRF02_AG147185AZT + 3TC + NVP91NoneNoneL33FContributed resistance to FPV/r, DRV/r, LPV/r, ATV/r, TPV/r.
15MHIV-1CRF02_AG252Un-detectableAZT + 3TC + EFV185NoneNoneNoneNone.

M: Male, F: Female, AZT: Zidovudine, D4T: Stavudine, 3TC: Lamivudine, NVP: Nevirapine, EFV: Efavirenz, IND/r: Ritonavir-boosted indinavir, ABC: Abacavir, ddI: Didanosine, FPV: Fosamprenavir, DRV: Darunavir, LPV: Lopinavir, ATV: Atazanavir, TPV: Tipranavir, NFV: Nelfinavir, ETR: Etravirine, RPV: Rilpivirine.

Distribution of resistance-associated mutations among 15 patients with viral loads > 1000 copies/ml, at 3–12 months after ART initiation M: Male, F: Female, AZT: Zidovudine, D4T: Stavudine, 3TC: Lamivudine, NVP: Nevirapine, EFV: Efavirenz, IND/r: Ritonavir-boosted indinavir, ABC: Abacavir, ddI: Didanosine, FPV: Fosamprenavir, DRV: Darunavir, LPV: Lopinavir, ATV: Atazanavir, TPV: Tipranavir, NFV: Nelfinavir, ETR: Etravirine, RPV: Rilpivirine.

Discussion

The main finding of this study was that a large proportion of HIV-1 and HIV-1/2 dual infections developed virological failure (46%) after a median follow-up of six months. Furthermore, over half of these patients developed resistance - predominantly to NNRTIs. The CD4 cell count was not an effective indicator of treatment failure. In the context of ART rollout, the most important drug resistance mutations in HIV-1 were single amino-acid mutations that conferred high-level resistance to NNRTIs. This finding was not surprising, because first-line ART and strategies for preventing mother-to-child transmission were based on NNRTIs. In this study, over half the patients with NNRTI resistance harbored the K103N mutation; thus, detection of this sentinel mutation may be useful in expanded surveillance activities for estimating the prevalence of NNRTI resistance. Although nine patients developed clinically important mutations to either NRTIs or NNRTIs or both, none had been identified and switched to second-line therapy. The CD4 cell count was a poor predictor of treatment failure, which underscored the need for implementing virological measures. This was the first study on HIV-1 resistance in Guinea-Bissau. Knowledge is scarce about resistance mutations in patients with HIV-1/2 dual infections. Thus, despite the small sample size, our results provided valuable information about this relatively unexplored population. Some patients with HIV-1 infections had been coincidentally treated with a first-line PI-based regimen, because they were assumed initially to be infected with HIV-1/2. This provided the opportunity to examine resistance in the context of a PI-based, rather than an NNRTI-based regimen. Unfortunately, we could not successfully measure resistance in all patients with virological failure, due to the lack of stored plasma or difficulties with the PCR assay for some samples. The latter problem could have been due to poor sample storage in Guinea-Bissau, where electricity is intermittent. Thus, we may have underestimated the proportion of patients with resistance. No baseline resistance tests had been performed; consequently, we could not determine whether the observed resistance was transferred or acquired. The one patient with an NNRTI-resistant virus that did not receive an NNRTI may represent a case of transmitted resistance; however, it also may represent a previous, unrecorded exposure to ART. In Senegal, the prevalence of transmitted drug resistance was 4.16% for NRTIs and 1.04% for PIs [13]. In Guinea-Conacry, the prevalence of primary resistance was 8.6% in patients naïve to ART [12]. In our study, at ART initiation, patients had low CD4 cell counts; this only occurs several years after primary infection. This finding argues against transferred resistance, because it is unlikely that this can be detected many years after a primary infection. Studies in low- and middle-income countries have indicated, that after 12 months of ART, 82-91% of patients achieve viral suppression [17]. However, a review of 89 studies from Sub-Saharan Africa showed 78% viral suppression after six months of ART [18]. The present study, showed only 54% viral suppression; however, our shorter follow-up time made comparisons with other studies difficult. A previous survey of acquired resistance showed that, among those experiencing therapy failure, 60-70% had developed drug resistance [17]. We identified drug resistance in 60% of patients with virological failure; this finding suggested that 40% developed treatment failure for reasons other than resistance. Thus, when viral load is used as the only indicator for switching to costlier second-line regimens, a large proportion of patients may switch unnecessarily. The majority of patients was infected with the CRF02_AG subtype, and a minority harbored subtype A, consistent with previous studies in this region [19]. Genetic differences between subtypes might influence drug resistance pathways; therefore it may be difficult to generalize our results to studies performed in different geographic regions [20,21]. In conclusion, we found a high virological failure rate and rapid development of NNRTI resistance among patients with HIV-1 and HIV-1/2 dual infections in Guinea-Bissau. It remains to be determined whether a more robust PI-based treatment regimen might benefit this population more than NNRTIs. Further studies are warranted on drug resistance in patients with HIV-1/2 dual infections.
  18 in total

1.  Genetic variability of CYP2B6 in populations of African and Asian origin: allele frequencies, novel functional variants, and possible implications for anti-HIV therapy with efavirenz.

Authors:  Kathrin Klein; Thomas Lang; Tanja Saussele; Eduardo Barbosa-Sicard; Wolf-Hagen Schunck; Michel Eichelbaum; Matthias Schwab; Ulrich M Zanger
Journal:  Pharmacogenet Genomics       Date:  2005-12       Impact factor: 2.089

2.  HIV-1 subtype C viruses rapidly develop K65R resistance to tenofovir in cell culture.

Authors:  Bluma G Brenner; Maureen Oliveira; Florence Doualla-Bell; Daniela D Moisi; Michel Ntemgwa; Fernando Frankel; Max Essex; Mark A Wainberg
Journal:  AIDS       Date:  2006-06-12       Impact factor: 4.177

3.  High prevalence of antiretroviral drug resistance among HIV-1-untreated patients in Guinea-Conakry and in Niger.

Authors:  Charlotte Charpentier; Pantxika Bellecave; Mohamed Cisse; Saidou Mamadou; Mandiou Diakite; Gilles Peytavin; Stéphanie Tchiombiano; Pierre Teisseire; Louis Pizarro; Alexandre Storto; Françoise Brun-Vézinet; Christine Katlama; Vincent Calvez; Anne-Geneviève Marcelin; Bernard Masquelier; Diane Descamps
Journal:  Antivir Ther       Date:  2011

Review 4.  Virological follow-up of adult patients in antiretroviral treatment programmes in sub-Saharan Africa: a systematic review.

Authors:  Roos E Barth; Maarten F Schim van der Loeff; Rob Schuurman; Andy I M Hoepelman; Annemarie M J Wensing
Journal:  Lancet Infect Dis       Date:  2010-03       Impact factor: 25.071

5.  Unnecessary antiretroviral treatment switches and accumulation of HIV resistance mutations; two arguments for viral load monitoring in Africa.

Authors:  Kim C E Sigaloff; Raph L Hamers; Carole L Wallis; Cissy Kityo; Margaret Siwale; Prudence Ive; Mariette E Botes; Kishor Mandaliya; Maureen Wellington; Akin Osibogun; Wendy S Stevens; Michèle van Vugt; Tobias F Rinke de Wit
Journal:  J Acquir Immune Defic Syndr       Date:  2011-09-01       Impact factor: 3.731

6.  Outcomes of nevirapine- and efavirenz-based antiretroviral therapy when coadministered with rifampicin-based antitubercular therapy.

Authors:  Andrew Boulle; Gilles Van Cutsem; Karen Cohen; Katherine Hilderbrand; Shaheed Mathee; Musaed Abrahams; Eric Goemaere; David Coetzee; Gary Maartens
Journal:  JAMA       Date:  2008-08-06       Impact factor: 56.272

7.  The epidemiology of HIV infection in a rural area of Guinea-Bissau.

Authors:  A Wilkins; D Ricard; J Todd; H Whittle; F Dias; A Paulo Da Silva
Journal:  AIDS       Date:  1993-08       Impact factor: 4.177

8.  HIV-2 infection in Bissau, West Africa, 1987-1989: incidence, prevalences, and routes of transmission.

Authors:  A G Poulsen; P Aaby; A Gottschau; B B Kvinesdal; F Dias; K Mølbak; E Lauritzen
Journal:  J Acquir Immune Defic Syndr (1988)       Date:  1993-08

9.  Changes in prevalence and incidence of HIV-1, HIV-2 and dual infections in urban areas of Bissau, Guinea-Bissau: is HIV-2 disappearing?

Authors:  Zacarias J da Silva; Inês Oliveira; Andreas Andersen; Francisco Dias; Amabélia Rodrigues; Birgitta Holmgren; Sören Andersson; Peter Aaby
Journal:  AIDS       Date:  2008-06-19       Impact factor: 4.177

10.  Impact of frequent natural polymorphisms at the protease gene on the in vitro susceptibility to protease inhibitors in HIV-1 non-B subtypes.

Authors:  Africa Holguín; Ellen Paxinos; Kurt Hertogs; Chad Womac; Vincent Soriano
Journal:  J Clin Virol       Date:  2004-11       Impact factor: 3.168

View more
  11 in total

1.  Life expectancy of HIV-infected patients followed at the largest hospital in Guinea-Bissau is one-fourth of life expectancy of the background population.

Authors:  Thomas Engell-Sørensen; Andreas Rieckmann; Candida Medina; David da Silva Té; Amabelia Rodrigues; Ane Bærent Fisker; Peter Aaby; Christian Erikstrup; Sanne Jespersen; Christian Wejse; Bo Langhoff Hønge
Journal:  Infection       Date:  2021-02-02       Impact factor: 3.553

2.  Lack of awareness of treatment failure among HIV-1-infected patients in Guinea-Bissau - a retrospective cohort study.

Authors:  Sanne Jespersen; Bo Langhoff Hønge; Candida Medina; David da Silva Té; Faustino Gomes Correira; Alex Lund Laursen; Christian Erikstrup; Lars Østergaard; Christian Wejse
Journal:  J Int AIDS Soc       Date:  2015-09-29       Impact factor: 5.396

3.  Does antiretroviral treatment change HIV-1 codon usage patterns in its genes: a preliminary bioinformatics study.

Authors:  Navaneethan Palanisamy; Nathan Osman; Frédéric Ohnona; Hong-Tao Xu; Bluma Brenner; Thibault Mesplède; Mark A Wainberg
Journal:  AIDS Res Ther       Date:  2017-01-07       Impact factor: 2.250

4.  Drug resistance mutations and viral load in human immunodeficiency virus type 2 and dual HIV-1/HIV-2 infected patients in Ghana.

Authors:  Christopher Z Abana; Kwamena W C Sagoe; Evelyn Y Bonney; Edward K Maina; Ishmael D Aziati; Esinam Agbosu; Gifty Mawuli; Linda M Styer; Koichi Ishikawa; James A M Brandful; William K Ampofo
Journal:  Medicine (Baltimore)       Date:  2019-02       Impact factor: 1.817

5.  Prevalence of drug resistance mutations among ART-naive and -experienced HIV-infected patients in Sierra Leone.

Authors:  George A Yendewa; Foday Sahr; Sulaiman Lakoh; Marta Ruiz; Lucia Patiño; Andrés Tabernilla; Gibrilla F Deen; Momodu Sesay; Robert A Salata; Eva Poveda
Journal:  J Antimicrob Chemother       Date:  2019-07-01       Impact factor: 5.790

6.  Blueprint for building a biorepository in a resource-limited setting that follows international best practices.

Authors:  Alash'le G Abimiku; Talishea Croxton; Petronilla J Ozumba; Ndidi Agala; Olasinbo Balogun; Emmanuel Jonathan; Enzenwa Onyemata; Kachimi Ndifon; Sunji Nadoma; Thankgod Anazodo; Sam Peters; Christine M Beiswanger
Journal:  Afr J Lab Med       Date:  2019-08-28

Review 7.  HIV-2 as a model to identify a functional HIV cure.

Authors:  Joakim Esbjörnsson; Marianne Jansson; Sanne Jespersen; Fredrik Månsson; Bo L Hønge; Jacob Lindman; Candida Medina; Zacarias J da Silva; Hans Norrgren; Patrik Medstrand; Sarah L Rowland-Jones; Christian Wejse
Journal:  AIDS Res Ther       Date:  2019-09-05       Impact factor: 2.250

8.  Winning the battle and losing the war? Where public health is getting it wrong in the current fight against HIV-AIDS and tuberculosis in Sub-Saharan Africa.

Authors:  Luchuo Engelbert Bain; Nkeh Charles Clovis
Journal:  Pan Afr Med J       Date:  2015-05-29

Review 9.  Ethical issues surrounding the provider initiated opt--Out prenatal HIV screening practice in Sub-Saharan Africa: a literature review.

Authors:  Luchuo Engelbert Bain; Kris Dierickx; Kristien Hens
Journal:  BMC Med Ethics       Date:  2015-10-24       Impact factor: 2.652

10.  Prevalence of HIV-1 pretreatment drug resistance among treatment naïve pregnant women in Bissau, Guinea Bissau.

Authors:  Sten Wilhelmson; Fredrik Månsson; Jacob Lopatko Lindman; Ansu Biai; Joakim Esbjörnsson; Hans Norrgren; Marianne Jansson; Patrik Medstrand
Journal:  PLoS One       Date:  2018-10-31       Impact factor: 3.240

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.