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      HIV-1 diversity and pre-treatment drug resistance in the era of integrase inhibitor among newly diagnosed ART-naïve adult patients in Luanda, Angola

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          Abstract

          The surveillance of drug resistance in the HIV-1 naïve population remains critical to optimizing the effectiveness of antiretroviral therapy (ART), mainly in the era of integrase strand transfer inhibitor (INSTI) regimens. Currently, there is no data regarding resistance to INSTI in Angola since Dolutegravir-DTG was included in the first-line ART regimen. Herein, we investigated the HIV-1 genetic diversity and pretreatment drug resistance (PDR) profile against nucleoside/tide reverse transcriptase inhibitors (NRTIs), non-nucleoside reverse transcriptase inhibitors (NNRTIs), protease inhibitors (PIs), and INSTIs, using a next-generation sequencing (NGS) approach with MinION, established to track and survey DRMs in Angola. This was a cross-sectional study comprising 48 newly HIV-diagnosed patients from Luanda, Angola, screened between March 2022 and May 2023. PR, RT, and IN fragments were sequenced for drug resistance and molecular transmission cluster analysis. A total of 45 out of the 48 plasma samples were successfully sequenced. Of these, 10/45 (22.2%) presented PDR to PIs/NRTIs/NNRTIs. Major mutations for NRTIs (2.2%), NNRTIs (20%), PIs (2.2%), and accessory mutations against INSTIs (13.3%) were detected. No major mutations against INSTIs were detected. M41L (2%) and I85V (2%) mutations were detected for NRTI and PI, respectively. K103N (7%), Y181C (7%), and K101E (7%) mutations were frequently observed in NNRTI. The L74M (9%) accessory mutation was frequently observed in the INSTI class. HIV-1 pure subtypes C (33%), F1 (17%), G (15%), A1 (10%), H (6%), and D (4%), CRF01_AG (4%) were observed, while about 10% were recombinant strains. About 31% of detected HIV-1C sequences were in clusters, suggesting small-scale local transmission chains. No major mutations against integrase inhibitors were detected, supporting the continued use of INSTI in the country. Further studies assessing the HIV-1 epidemiology in the era of INSTI-based ART regimens are needed in Angola.

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          FastTree: Computing Large Minimum Evolution Trees with Profiles instead of a Distance Matrix

          Gene families are growing rapidly, but standard methods for inferring phylogenies do not scale to alignments with over 10,000 sequences. We present FastTree, a method for constructing large phylogenies and for estimating their reliability. Instead of storing a distance matrix, FastTree stores sequence profiles of internal nodes in the tree. FastTree uses these profiles to implement Neighbor-Joining and uses heuristics to quickly identify candidate joins. FastTree then uses nearest neighbor interchanges to reduce the length of the tree. For an alignment with N sequences, L sites, and a different characters, a distance matrix requires O(N 2) space and O(N 2 L) time, but FastTree requires just O(NLa + N ) memory and O(N log (N)La) time. To estimate the tree's reliability, FastTree uses local bootstrapping, which gives another 100-fold speedup over a distance matrix. For example, FastTree computed a tree and support values for 158,022 distinct 16S ribosomal RNAs in 17 h and 2.4 GB of memory. Just computing pairwise Jukes–Cantor distances and storing them, without inferring a tree or bootstrapping, would require 17 h and 50 GB of memory. In simulations, FastTree was slightly more accurate than Neighbor-Joining, BIONJ, or FastME; on genuine alignments, FastTree's topologies had higher likelihoods. FastTree is available at http://microbesonline.org/fasttree.
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            Multiplex PCR method for MinION and Illumina sequencing of Zika and other virus genomes directly from clinical samples

            This multiplex PCR enrichment protocol enables sequencing of Zika and other viral genomes of low abundance from clinical samples using the Illumina platform, or the portable MinION sequencer, facilitating direct application in field situations.
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              Nanopore sequencing technology, bioinformatics and applications

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                Author and article information

                Contributors
                cruz.sebastiao@inis.gov.ao
                victor.pimentel@ihmt.unl.pt
                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group UK (London )
                2045-2322
                10 July 2024
                10 July 2024
                2024
                : 14
                : 15893
                Affiliations
                [1 ]Centro de Investigação em Saúde de Angola (CISA), Caxito, Angola
                [2 ]Instituto Nacional de Investigação em Saúde (INIS), Luanda, Angola
                [3 ]Instituto de Ciências da Saúde (ICISA), Universidade Agostinho Neto (UAN), ( https://ror.org/0057ag334) Luanda, Angola
                [4 ]Global Health and Tropical Medicine, GHTM, Associate Laboratory in Translation and Innovation Towards Global Health, LA-REAL, Instituto de Higiene e Medicina Tropical, IHMT, Universidade NOVA de Lisboa, UNL, ( https://ror.org/02xankh89) Rua da Junqueira 100, 1349-008 Lisboa, Portugal
                [5 ]Instituto Nacional de Sangue (INS), Ministério da Saúde, ( https://ror.org/04es3ne34) Luanda, Angola
                [6 ]Instituto Nacional de Luta contra SIDA (INLS), Ministério da Saúde, ( https://ror.org/04es3ne34) Luanda, Angola
                [7 ]Centro Nacional de Investigação Científica (CNIC), Luanda, Angola
                [8 ]GRID grid.476683.8, ISNI 0000 0000 9393 8620, Laboratório de Biologia Molecular (LMCBM, SPC, CHLO-HEM), ; 1349-019 Lisbon, Portugal
                [9 ]Egas Moniz Center for Interdisciplinary Research (CiiEM), Egas Moniz School of Health & Sicence, ( https://ror.org/01prbq409) Caparica, Almada, Portugal
                [10 ]GRID grid.9657.d, ISNI 0000 0004 1757 5329, Department of Science and Technology for Humans and the Environment, , University of Campus Bio-Medico di Roma, ; Rome, Italy
                [11 ]H&TRC-Health & Technology Research Center, ESTeSL-Escola Superior de Tecnologia da Saúde, Instituto Politécnico de Lisboa, ( https://ror.org/04ea70f07) Lisbon, Portugal
                Author information
                http://orcid.org/0000-0003-1232-0119
                Article
                66905
                10.1038/s41598-024-66905-1
                11237101
                38987263
                32554854-b3d1-4052-af86-77fafabb7ab4
                © The Author(s) 2024

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 2 April 2024
                : 5 July 2024
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100005635, Fundação Calouste Gulbenkian;
                Award ID: HITOLA project (Number 250466)
                Award Recipient :
                Funded by: Africa Research Excellence Fund
                Award ID: AREF-312-CRUZ-F-C0931
                Award Recipient :
                Funded by: Science and Technology Development Project (PDCT)
                Award ID: MUTHIVAO project (Number 36 MESCTI/PDCT/2022)
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/501100001871, Fundação para a Ciência e a Tecnologia;
                Award ID: MARVEL project (PTDC/SAU-PUB/4018/2021)
                Categories
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                Custom metadata
                © Springer Nature Limited 2024

                Uncategorized
                hiv-1,genetic diversity,drug resistance mutations,insti,ngs,angola,hiv infections,epidemiology
                Uncategorized
                hiv-1, genetic diversity, drug resistance mutations, insti, ngs, angola, hiv infections, epidemiology

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