{"title":"马达加斯加艾滋病毒感染者中艾滋病毒-1 基因多样性高,传播耐药性流行率低。","authors":"Fetra Angelot Rakotomalala , Christelle Butel , Tahinamandranto Rasamoelina , Laetitia Serrano , Nicole Vidal , Santatriniaina Hajanirina Dauphin Randriarimanana , Luca Maharavo , Hajanirina Nathanaella Randriamananjara , Nicolas Fernandez-Nuñez , Felana Ranaivo Rabetokotany , Danielle Aurore Doll Rakoto , Eric Delaporte , Martine Peeters , François-Xavier Babin , Luc Hervé Samison , Eric Nerrienet , Ahidjo Ayouba","doi":"10.1016/j.meegid.2024.105679","DOIUrl":null,"url":null,"abstract":"<div><h3>Background and objectives</h3><div>Data on HIV drug resistance in Madagascar are rare and outdated. In this study, we assessed the prevalence of HIV drug resistance mutations to antiretrovirals (ARVs) and genetic diversity of circulating strains in treatment-naive people living with HIV (PLHIV) in Madagascar.</div></div><div><h3>Materials and methods</h3><div>We amplified the protease (PR), fragments of the Reverse Transcriptase (RT) and Integrase (IN) genes according to the French ANRS protocol. The amplicons were sequenced using next-generation sequencing technology on an Illumina platform (MiSeq). We determined HIV-1 subtypes through phylogenetic analysis using maximum likelihood in PhyML. Resistance interpretation was performed using the Stanford algorithm (version 9.5.1).</div></div><div><h3>Results</h3><div>We included 239 HIV-infected adults and children, sampled between January 2019 and November 2023, with a median age of 30 years and a mean plasma HIV viral load of 6.3 Log copies/mL. We sequenced at least one genomic fragment (PR or RT or IN) of the 239 samples, but 9 were excluded from analysis (mean depth < 10,000×). Phylogenetic analysis of 230 sequences revealed the presence of subtype C (33.91 %), A1 (11.30 %), B (11.30 %), CRF02_AG (9.56 %), subtype G (3.04 %), subtype D (0.43 %), CRF01_AE (0.43 %), and a significant proportion of unique recombinant forms (URFs) (30.30 %). The prevalence of transmitted drug resistance (TDR) was 4.95 % (10/202) among patients aged 15 years and older. When stratified by ARV class, this prevalence was 4.79 % for non-nucleoside reverse transcriptase inhibitors (NNRTIs), 0.59 % for Nucleoside Reverse Transcriptase inhibitors (NRTIs), and 0.50 % for integrase strand transfer inhibitors (INSTIs). Among children under 15 years old (<em>n</em> = 28), the prevalence of TDR was 14.28 % (4/28), with all mutations conferring resistance to NNRTIs. No mutation conferring resistance to protease inhibitors was found, neither in children nor in adults.</div></div><div><h3>Conclusion</h3><div>Our results show a low prevalence of ARV resistance mutations among adult treatment-naive PLHIV in Madagascar. In children under 15 years old, 92 % were infants under two years old, the high resistance rate is likely related to mother-to-child transmission. No resistance mutation to dolutegravir was detected. We also observed high frequencies of subtypes C, B, A1 and a high proportion of URFs, highlighting an ongoing dynamic epidemic.</div></div>","PeriodicalId":54986,"journal":{"name":"Infection Genetics and Evolution","volume":"125 ","pages":"Article 105679"},"PeriodicalIF":2.6000,"publicationDate":"2024-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"High HIV-1 genetic diversity and low prevalence of transmitted drug resistance among treatment-naive people living with HIV in Madagascar\",\"authors\":\"Fetra Angelot Rakotomalala , Christelle Butel , Tahinamandranto Rasamoelina , Laetitia Serrano , Nicole Vidal , Santatriniaina Hajanirina Dauphin Randriarimanana , Luca Maharavo , Hajanirina Nathanaella Randriamananjara , Nicolas Fernandez-Nuñez , Felana Ranaivo Rabetokotany , Danielle Aurore Doll Rakoto , Eric Delaporte , Martine Peeters , François-Xavier Babin , Luc Hervé Samison , Eric Nerrienet , Ahidjo Ayouba\",\"doi\":\"10.1016/j.meegid.2024.105679\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Background and objectives</h3><div>Data on HIV drug resistance in Madagascar are rare and outdated. In this study, we assessed the prevalence of HIV drug resistance mutations to antiretrovirals (ARVs) and genetic diversity of circulating strains in treatment-naive people living with HIV (PLHIV) in Madagascar.</div></div><div><h3>Materials and methods</h3><div>We amplified the protease (PR), fragments of the Reverse Transcriptase (RT) and Integrase (IN) genes according to the French ANRS protocol. The amplicons were sequenced using next-generation sequencing technology on an Illumina platform (MiSeq). We determined HIV-1 subtypes through phylogenetic analysis using maximum likelihood in PhyML. Resistance interpretation was performed using the Stanford algorithm (version 9.5.1).</div></div><div><h3>Results</h3><div>We included 239 HIV-infected adults and children, sampled between January 2019 and November 2023, with a median age of 30 years and a mean plasma HIV viral load of 6.3 Log copies/mL. We sequenced at least one genomic fragment (PR or RT or IN) of the 239 samples, but 9 were excluded from analysis (mean depth < 10,000×). Phylogenetic analysis of 230 sequences revealed the presence of subtype C (33.91 %), A1 (11.30 %), B (11.30 %), CRF02_AG (9.56 %), subtype G (3.04 %), subtype D (0.43 %), CRF01_AE (0.43 %), and a significant proportion of unique recombinant forms (URFs) (30.30 %). The prevalence of transmitted drug resistance (TDR) was 4.95 % (10/202) among patients aged 15 years and older. When stratified by ARV class, this prevalence was 4.79 % for non-nucleoside reverse transcriptase inhibitors (NNRTIs), 0.59 % for Nucleoside Reverse Transcriptase inhibitors (NRTIs), and 0.50 % for integrase strand transfer inhibitors (INSTIs). Among children under 15 years old (<em>n</em> = 28), the prevalence of TDR was 14.28 % (4/28), with all mutations conferring resistance to NNRTIs. No mutation conferring resistance to protease inhibitors was found, neither in children nor in adults.</div></div><div><h3>Conclusion</h3><div>Our results show a low prevalence of ARV resistance mutations among adult treatment-naive PLHIV in Madagascar. In children under 15 years old, 92 % were infants under two years old, the high resistance rate is likely related to mother-to-child transmission. No resistance mutation to dolutegravir was detected. We also observed high frequencies of subtypes C, B, A1 and a high proportion of URFs, highlighting an ongoing dynamic epidemic.</div></div>\",\"PeriodicalId\":54986,\"journal\":{\"name\":\"Infection Genetics and Evolution\",\"volume\":\"125 \",\"pages\":\"Article 105679\"},\"PeriodicalIF\":2.6000,\"publicationDate\":\"2024-10-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Infection Genetics and Evolution\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1567134824001308\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"INFECTIOUS DISEASES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Infection Genetics and Evolution","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1567134824001308","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"INFECTIOUS DISEASES","Score":null,"Total":0}
High HIV-1 genetic diversity and low prevalence of transmitted drug resistance among treatment-naive people living with HIV in Madagascar
Background and objectives
Data on HIV drug resistance in Madagascar are rare and outdated. In this study, we assessed the prevalence of HIV drug resistance mutations to antiretrovirals (ARVs) and genetic diversity of circulating strains in treatment-naive people living with HIV (PLHIV) in Madagascar.
Materials and methods
We amplified the protease (PR), fragments of the Reverse Transcriptase (RT) and Integrase (IN) genes according to the French ANRS protocol. The amplicons were sequenced using next-generation sequencing technology on an Illumina platform (MiSeq). We determined HIV-1 subtypes through phylogenetic analysis using maximum likelihood in PhyML. Resistance interpretation was performed using the Stanford algorithm (version 9.5.1).
Results
We included 239 HIV-infected adults and children, sampled between January 2019 and November 2023, with a median age of 30 years and a mean plasma HIV viral load of 6.3 Log copies/mL. We sequenced at least one genomic fragment (PR or RT or IN) of the 239 samples, but 9 were excluded from analysis (mean depth < 10,000×). Phylogenetic analysis of 230 sequences revealed the presence of subtype C (33.91 %), A1 (11.30 %), B (11.30 %), CRF02_AG (9.56 %), subtype G (3.04 %), subtype D (0.43 %), CRF01_AE (0.43 %), and a significant proportion of unique recombinant forms (URFs) (30.30 %). The prevalence of transmitted drug resistance (TDR) was 4.95 % (10/202) among patients aged 15 years and older. When stratified by ARV class, this prevalence was 4.79 % for non-nucleoside reverse transcriptase inhibitors (NNRTIs), 0.59 % for Nucleoside Reverse Transcriptase inhibitors (NRTIs), and 0.50 % for integrase strand transfer inhibitors (INSTIs). Among children under 15 years old (n = 28), the prevalence of TDR was 14.28 % (4/28), with all mutations conferring resistance to NNRTIs. No mutation conferring resistance to protease inhibitors was found, neither in children nor in adults.
Conclusion
Our results show a low prevalence of ARV resistance mutations among adult treatment-naive PLHIV in Madagascar. In children under 15 years old, 92 % were infants under two years old, the high resistance rate is likely related to mother-to-child transmission. No resistance mutation to dolutegravir was detected. We also observed high frequencies of subtypes C, B, A1 and a high proportion of URFs, highlighting an ongoing dynamic epidemic.
期刊介绍:
(aka Journal of Molecular Epidemiology and Evolutionary Genetics of Infectious Diseases -- MEEGID)
Infectious diseases constitute one of the main challenges to medical science in the coming century. The impressive development of molecular megatechnologies and of bioinformatics have greatly increased our knowledge of the evolution, transmission and pathogenicity of infectious diseases. Research has shown that host susceptibility to many infectious diseases has a genetic basis. Furthermore, much is now known on the molecular epidemiology, evolution and virulence of pathogenic agents, as well as their resistance to drugs, vaccines, and antibiotics. Equally, research on the genetics of disease vectors has greatly improved our understanding of their systematics, has increased our capacity to identify target populations for control or intervention, and has provided detailed information on the mechanisms of insecticide resistance.
However, the genetics and evolutionary biology of hosts, pathogens and vectors have tended to develop as three separate fields of research. This artificial compartmentalisation is of concern due to our growing appreciation of the strong co-evolutionary interactions among hosts, pathogens and vectors.
Infection, Genetics and Evolution and its companion congress [MEEGID](http://www.meegidconference.com/) (for Molecular Epidemiology and Evolutionary Genetics of Infectious Diseases) are the main forum acting for the cross-fertilization between evolutionary science and biomedical research on infectious diseases.
Infection, Genetics and Evolution is the only journal that welcomes articles dealing with the genetics and evolutionary biology of hosts, pathogens and vectors, and coevolution processes among them in relation to infection and disease manifestation. All infectious models enter the scope of the journal, including pathogens of humans, animals and plants, either parasites, fungi, bacteria, viruses or prions. The journal welcomes articles dealing with genetics, population genetics, genomics, postgenomics, gene expression, evolutionary biology, population dynamics, mathematical modeling and bioinformatics. We also provide many author benefits, such as free PDFs, a liberal copyright policy, special discounts on Elsevier publications and much more. Please click here for more information on our author services .