Drug Resistance Mutations Research Articles

Transmitted Antiretroviral Drug Resistance to Integrase Strand Transfer Inhibitors Class in São Paulo Metropolitan Area, Brazil.

A newer integrase strand transfer inhibitor (INSTI) cabotegravir was recently approved for both therapy and prophylaxis and can play an essential role in the fight against AIDS. It shares similar resistance profile to dolutegravir, the cornerstone of Brazilian antiretroviral (ARV) treatment, with about 600 thousand people living with HIV in Brazil currently on regimens that contain this INSTI. Health services in the São Paulo metropolitan area are responsible for a large proportion of ARV dispensation in the country. Estimating transmitted drug resistance mutation (TDRM) in the area before cabotegravir introduction may provide a useful baseline information. Partial HIV-1 pol gene was sequenced (Sanger) from 192 newly diagnosed individuals from São Paulo and nearby cities (2020 to March 2023) at integrase, with 85 also at protease/reverse transcriptase regions. Retrotranscribed plasma RNA, amplified with nested PCR, was edited (Recall or Sequencher) and analyzed at Rega and Stanford db. Surveillance drug resistance mutations (SDRM) to INSTI class was detected in three cases (1.6%; 95% CI: 0.5%-5%), two E138K and one R263K, with 7.8% (95% CI: 5%-13%) with resistance mutations (major or accessory). SDRM for nucleoside reverse transcriptase inhibitors, non-nucleoside reverse transcriptase inhibitors, and PI classes were identified in 7 (8.2% CI: 95% 4%-16%) cases. Subtype B predominated (69%), followed by subtype C (16%), now the second most prevalent infection in this area. Among 131 patients treated for over 6 months, 92% were virally suppressed below 200 copies/mL, with low TCD4 counts independently associated to failure. SDRM to INSTI class is rare in the area. Intermediate rates of transmitted resistance to other ARV classes are comparable to previous estimates. Viral suppression rates may depend on TCD4 counts, another negative impact of late diagnosis in care that deserves more attention.

Characterization of a novel multi-resistant Pseudomonas juntendi strain from China with chromosomal blaVIM-2 and a megaplasmid coharboring blaIMP-1-like and blaOXA-1.

Pseudomonas juntendi is a newly identified opportunistic pathogen, of which we have limited understanding. P. juntendi strains are often multidrug resistant, which complicates clinical management of infection. A strain of Pseudomonas juntendi (strain L4326) isolated from feces was characterized by MALDI-TOF-MS and Average Nucleotide Identity BLAST. This strain was further subject to whole-genome sequencing and Maximum Likelihood phylogenetic analysis. The strain was phenotypically characterized by antimicrobial susceptibility testing and conjugation assays. We have isolated the novel P. juntendi strain L4236, which was multidrug resistant, but retained sensitivity to amikacin. L4236 harbored a megaplasmid that encoded blaOXA-1 and a novel blaIMP-1 resistance gene variant. P. juntendi strain L4236 was phylogenetically related to P. juntendi strain SAMN30525517. A rare P. juntendi strain was isolated from human feces in southern China with a megaplasmid coharboring blaIMP-1-like and blaOXA-1. Antimicrobial selection pressures may have driven acquisition of drug-resistance gene mutations and carriage of the megaplasmid.

Celastrol induces DNA damage and cell death in BCR-ABL T315I-mutant CML by targeting YY1 and HMCES

BackgroundChronic myeloid leukemia (CML) is driven primarily by the constitutively active BCR-ABL fusion oncoprotein. Although the development of tyrosine kinase inhibitors has markedly improved the prognosis of CML patients, it remains a significant challenge to overcome drug-resistant mutations, such as the T315I mutation of BCR-ABL, and achieve treatment-free remission in the clinic. PurposeThe identification of new intervention targets beyond BCR-ABL could provide new perspectives for future research and therapeutic intervention. A network pharmacology analysis was conducted to identify the most promising natural product with anti-CML activity. Celastrol was selected for further analysis to gain insights into its mechanism of action (MoA), with the aim of identifying potential new intervention targets for BCR-ABL T315I-mutant CML. MethodsTranscriptomic and proteomic analyses were conducted to systematically investigate the molecular MoA of celastrol in K562T315I cells. To identify the target proteins of celastrol, mass spectrometry-coupled cellular thermal shift assay (MS-CETSA) was carried out, followed by validations with genetic knockdown and overexpression, cell proliferation assay, comet assay, Western blotting, celastrol probe-based in situ labeling and pull-down assay, molecular docking, and biolayer interferometry. ResultsOur multi-omics analyses revealed that celastrol primarily induces DNA damage accumulation and the unfolded protein response in K562T315I cells. Among the twelve most potential celastrol targets, experimental evidence demonstrated that the direct interaction of celastrol with YY1 and HMCES increases the levels of DNA damage, leading to cell death. ConclusionThis study represents the first investigation utilizing a proteome-wide label-free target deconvolution approach, MS-CETSA, to identify the protein targets of celastrol. This study also develops a new systems pharmacology strategy. The findings provide new insights into the multifaceted mechanisms of celastrol and, more importantly, highlight the potential of targeting proteins in DNA damage and repair pathways, particularly YY1 and HMCES, to combat drug-resistant CML.

National genomic profiling of Plasmodium falciparum antimalarial resistance in Zambian children participating in the 2018 Malaria Indicator Survey.

The emergence of antimalarial drug resistance is a major threat to malaria control and elimination. Using whole genome sequencing of 282 P. falciparum samples collected during the 2018 Zambia National Malaria Indicator Survey, we determined the prevalence and spatial distribution of known and candidate antimalarial drug resistance mutations. High levels of genotypic resistance were found across Zambia to pyrimethamine, with over 94% (n=266) of samples having the Pfdhfr triple mutant (N51I, C59R, and S108N), and sulfadoxine, with over 84% (n=238) having the Pfdhps double mutant (A437G and K540E). In northern Zambia, 5.3% (n=15) of samples also harbored the Pfdhps A581G mutation. Although 29 mutations were identified in Pfkelch13, these mutations were present at low frequency (<2.5%), and only three were WHO-validated artemisinin partial resistance mutations: P441L (n=1, 0.35%), V568M (n=2, 0.7%) and R622T (n=1, 0.35%). Notably, 91 (32%) of samples carried the E431K mutation in the Pfatpase6 gene, which is associated with artemisinin resistance. No specimens carried any known mutations associated with chloroquine resistance in the Pfcrt gene (codons 72-76). P. falciparum strains circulating in Zambia were highly resistant to sulfadoxine and pyrimethamine but remained susceptible to chloroquine and artemisinin. Despite this encouraging finding, early genetic signs of developing artemisinin resistance highlight the urgent need for continued vigilance and expanded routine genomic surveillance to monitor these changes.

The relevance of ultradeep sequencing for low HIV-1 viral loads and proviruses in the clinical setting.

Improving the therapeutic management of HIV-positive persons is a major public health issue and includes better detection of drug resistance mutations (DRMs). The aim of this study was (i) to explore DRMs in HIV-1-positive persons presenting a blood viral load (VL) < 1000 genomes copies (gc)/mL, including the analyze of cerebrospinal fluid (CSF) and HIV-DNA from peripheral blood mononuclear cells using ultradeep sequencing (UDS) and (ii), to evaluate how these DRMs could influence the clinical practices. For each patient (n = 12), including five low-VL patients (i.e., <1000 gc/mL), HIV-1 UDS targeting the protease, reverse transcriptase and integrase genes was performed on plasma, proviral DNA, and CSF when available. Sequencing discordances or failures were mostly found in samples from low-VL patients. A 5% UDS cut-off allowed to increase the sensitivity to detect DRMs in different compartments, excepted in CSF. Patients with the highest viral quasispecies heterogeneity were naïve of treatment or presented a medical history suggesting low selection pressure or virological failures. When analyzing compartmentalization and following-up patients: low-frequency variants (LFVs) were responsible for 47% (n = 8) and 76% (n = 13) of changes in drug resistance interpretation, respectively. In such cases, we conclude that UDS is a robust technique, which still could be improved by increase the RNA and/or DNA extraction in low-VL samples to detect LFVs. Further studies are needed to define the impact of LFVs on antiretroviral treatments. At last, when considering a DRM, the use of mutational load would probably be more suitable than frequencies.

An ultrasensitive DNA-enhanced amplification method for detecting cfDNA drug-resistant mutations in non-small cell lung cancer with selective FEN-assisted degradation of dominant somatic fragments.

Blood cell-free DNA (cfDNA) can be a new reliable tool for detecting epidermal growth factor receptor (EGFR) mutations in non-small cell lung cancer (NSCLC) patients. However, the currently reported cfDNA assays have a limited role in detecting drug-resistant mutations due to their deficiencies in sensitivity, stability, or mutation detection rate. We developed an Archaeoglobus fulgidus-derived flap endonuclease (Afu FEN)-based DNA-enhanced amplification system of mutated cfDNA by designing a pair of hairpin probes to anneal with wild-type cfDNA to form two 5'-flaps, allowing for the specific cleavage of wild-type cfDNA by Afu FEN. When the dominant wild-type somatic cfDNA fragments were cleaved by structure-recognition-specific Afu FEN, the proportion of mutated cfDNA in the reaction system was greatly enriched. As the amount of mutated cfDNA in the system was further increased by PCR amplification, the mutation status could be easily detected through first-generation sequencing. In a mixture of synthetic wild-type and T790M EGFR DNA fragments, our new assay still could detect T790M mutation at the fg level with remarkably high sensitivity. We also tested its performance in detecting low variant allele frequency (VAF) mutations in clinical samples from NSCLC patients. The plasma cfDNA samples with low VAF (0.1 and 0.5 %) could be easily detected by DNA-enhanced amplification. This system with enhanced amplification of mutated cfDNA is an effective tool used for the early screening and individualized targeted therapy of NSCLC by providing arapid, sensitive, and economical way for the detection of drug-resistant mutations in tumors.

Novelties for the management of cytomegalovirus after kidney transplantation

Cytomegalovirus (CMV) infection is the main opportunistic infection observed after kidney transplantation. Despite the use of prevention strategies, CMV disease still occurs, especially in high-risk patients (donor seropositive/recipient seronegative). Patients may develop complicated CMV, i.e. recurrent, refractory or resistant CMV infection. CMV prevention relies on either universal prophylaxis or preemptive therapy. In high-risk patients, universal prophylaxis is usually preferred. Currently, valganciclovir is used in this setting. However, valganciclovir can be responsible for severe leucopenia and neutropenia. A novel anti-viral drug, letermovir, has been recently compared to valganciclovir. It was as efficient as valganciclovir to prevent CMV disease and induced less hematological side-effects. It is still not available in France in this indication. Recent studies suggest that immune monitoring by ELISPOT or Quantiferon can be useful to determine the duration of prophylaxis. Other studies suggest that prophylaxis may be skipped in CMV-seropositive kidney-transplant patients given mTOR inhibitors. Refractory CMV is defined by the lack of decrease of CMV DNAemia of at least 1 log10 at 2 weeks after effective treatment. In case of refractory CMV infection, drug resistant mutations should be looked for. Currently, maribavir is the gold standard therapy for refractory/resistant CMV. At 8 weeks therapy and 8 weeks later, it has been shown to be significantly more effective than other anti-viral drugs, i.e. high dose of ganciclovir, foscarnet or cidofovir. However, a high rate of relapse was observed after ceasing therapy. Hence, other therapeutic strategies should be evaluated in order to improve the sustained virological rate.

SATCAS: A CRISPR/Cas13a-based simultaneous amplification and testing platform for one-pot RNA detection and SNPs distinguish in clinical diagnosis

The clinical diagnosis of pathogen infectious diseases increasingly requires sensitive and rapid RNA detection technologies. The RNA-guided clustered regularly interspaced short palindromic repeats (CRISPR)/Cas13a system has shown immense potential in molecular diagnostics due to its trans-cleavage activity. However, most Cas13a-based detection methods require an amplicon transcription step, and the multi-step open-tube operations are prone to contamination, limiting their widespread application. Here, we propose an ultrasensitive (single-copy range, ∼aM) and rapid (within 40 min) isothermal one-pot RNA detection platform, termed SATCAS (Simultaneous Amplification and Testing platform based on Cas13a). This method effectively distinguishes viable bacteria (0%–100%) under constant total bacterial conditions, demonstrating its robustness and universality. SATCAS excels in identifying single nucleotide polymorphisms (SNPs), particularly detecting 0.5% drug-resistant mutations. We validated SATCAS by detecting infections in biological samples from 68 HBV, 23 EBV, and 48 SARS-CoV-2 patients, achieving 100% sensitivity, 92.86% specificity, and 97.06% accuracy in HBV infection testing. We anticipate that SATCAS has broad application potential in the early diagnosis, subtyping, drug resistance detection, and point-of-care monitoring of pathogen infectious diseases.

HIV-1 subtype-specific drug resistance on dolutegravir-based antiretroviral therapy: protocol for a multicentre study (DTG RESIST)

IntroductionHIV drug resistance poses a challenge to the United Nation’s goal of ending the HIV/AIDS epidemic. The integrase strand transfer inhibitor (InSTI) dolutegravir, which has a higher resistance barrier, was...

Viral DNA polymerase structures reveal mechanisms of antiviral drug resistance

DNA polymerases are important drug targets, and many structural studies have captured them in distinct conformations. However, a detailed understanding of the impact of polymerase conformational dynamics on drug resistance is lacking. We determined cryoelectron microscopy (cryo-EM) structures of DNA-bound herpes simplex virus polymerase holoenzyme in multiple conformations and interacting with antivirals in clinical use. These structures reveal how the catalytic subunit Pol and the processivity factor UL42 bind DNA to promote processive DNA synthesis. Unexpectedly, in the absence of an incoming nucleotide, we observed Pol in multiple conformations with the closed state sampled by the fingers domain. Drug-bound structures reveal how antivirals may selectively bind enzymes that more readily adopt the closed conformation. Molecular dynamics simulations and the cryo-EM structure of a drug-resistant mutant indicate that some resistance mutations modulate conformational dynamics rather than directly impacting drug binding, thus clarifying mechanisms that drive drug selectivity.

Application of molecular epidemiology in revealing HIV-1 transmission network and recombination patterns in Tianjin, China.

Using a comprehensive molecular epidemiological approach, we characterized the transmission dynamics of HIV-1 among the MSM population in Tianjin, China. Our findings revealed that 38.56% (386/1001) of individuals clustered across 109 molecular transmission clusters (TCs), with MSM aged 50 and below being the group most commonly transmitting HIV-1. Among the identified TCs, CRF01_AE predominated, followed by CRF07_BC. Notably, CRF07_BC demonstrated a higher propensity for forming large clusters compared to CRF01_AE. Birth-death skyline analyses of the two largest clusters indicated that the HIV/AIDS transmission may be at a critical point, nearly all had Re approximately 1 by now. A retrospective analysis revealed that the rapid expansion of these large clusters was primarily driven by the introduction of viruses in 2021, highlighting the crucial importance of continuous molecular surveillance in identifying newly emerging high-risk transmission chains and adapting measures to address evolving epidemic dynamics. Furthermore, we detected the transmission of drug-resistant mutations (DRMs) within the TCs, particularly in the CRF07_BC clusters (K103N, Y181C, and K101E) and CRF01_AE clusters (P225H and K219R), emphasizing the importance of monitoring to support the continued efficacy of first-line therapies and pre-exposure prophylaxis (PrEP). Recombination analyses indicated that complex recombinant patterns, associated with increased amino acid variability, could confer adaptive traits to the viruses, potentially providing a competitive advantage in certain host populations or regions. Our study highlights the potential of integrating molecular epidemiological and phylodynamic approaches to inform targeted interventions.

A multi-AS-PCR-coupled CRISPR/Cas12a assay for the detection of ten single-base mutations

Single-nucleotide polymorphism (SNP) detection is critical for diagnosing diseases, and the development of rapid and accurate diagnostic tools is essential for treatment and prevention. Allele-specific polymerase chain reaction (AS-PCR) is widely used for detecting SNPs with multiplexing capabilities, while CRISPR-based technologies provide high sensitivity and specificity in targeting mutation sites through specific guide RNAs (gRNAs).In this study, we have integrated the high sensitivity and specificity of CRISPR technology with the multiplexing capabilities of AS-PCR, achieving the simultaneous detection of ten single-base mutations. As for Multi-AS-PCR, our research identified that competitive inhibition of primers targeting the same loci, coupled with divergent amplification efficiencies of these primers, could result in diminished amplification efficiency. Consequently, we adjusted and optimized primer combinations and ratios to enhance the amplification efficacy of Multi-AS-PCR. Finally, we successfully developed a novel nested Multi-AS-PCR-Cas12a method for multiplex SNPs detection. To evaluate the clinical utility of this method in a real-world setting, we applied it to diagnose rifampicin-resistant tuberculosis (TB). The limit of detection (LoD) for the nested Multi-AS-PCR-Cas12a was 102 aM, achieving sensitivity, specificity, positive predictive value, and negative predictive value of 100 %, 93.33 %, 90.00 %, and 100 %, respectively, compared to sequencing.In summary, by employing an innovative design that incorporates a universal reverse primer alongside ten distinct forward allele-specific primers, the nested Multi-AS-PCR-Cas12a technique facilitates the parallel detection of ten rpoB gene SNPs. This method also holds broad potential for the detection of drug-resistant gene mutations in infectious diseases and tumors, as well as for the screening of specific genetic disorders.

Exploring disparities in HIV-1 pretreatment and acquired drug resistance in China from 2003 to 2022.

To investigate the epidemic patterns of pretreatment drug resistance (PDR) and acquired drug resistance (ADR) in HIV-1 sequences from China. HIV-1 pol sequences and associated epidemiological data were collected from the Los Alamos HIV Sequence Database, NCBI, HIV Gene Sequence Database and PubMed. Genotypic resistance and subtypes were identified using the Stanford HIV Drug Resistance Database. A total of 36 263 sequences from ART-naïve individuals and 1548 sequences from ART-experienced individuals with virological failure were evaluated. PDR prevalence was 6.64%, initially decreasing and then increasing to 7.84% (2018-22) due to NNRTI. Pooled ADR prevalence (44.96%) increased, with NNRTI and NRTI aligning with the overall trend. The percentage of multidrug resistance was more than that of single-drug resistance in PDR and especially ADR annually. PDR was most prevalent in Central China followed by Southwest and North. ADR prevalence was highest in North China followed by Northwest and Southwest. In ADR sequences, high-level resistance was more common, especially in NRTI. PDR sequences exhibited low-level or intermediate resistance, especially PI. Drug resistance mutations revealed distinct patterns in PDR and ADR. CRF01_AE, the predominant subtype in China, exhibited the highest proportions among most ART drugs and drug resistance mutations, with a few exceptions where CRF07_BC (prominent in the Northwest), CRF55_01B and CRF08_BC (prominent in the Southwest) showed the highest proportions. HIV-1 PDR and ADR prevalence in China exhibited diverse epidemiological characteristics, underscoring the importance of ongoing national monitoring of PDR, ADR and subtype; patient education on adherence; and personalized regimens.

Calculating Protein-Ligand Residence Times through State Predictive Information Bottleneck Based Enhanced Sampling.

Understanding drug residence times in target proteins is key to improving drug efficacy and understanding target recognition in biochemistry. While drug residence time is just as important as binding affinity, atomic-level understanding of drug residence times through molecular dynamics (MD) simulations has been difficult primarily due to the extremely long time scales. Recent advances in rare event sampling have allowed us to reach these time scales, yet predicting protein-ligand residence times remains a significant challenge. Here we present a semi-automated protocol to calculate the ligand residence times across 12 orders of magnitude of time scales. In our proposed framework, we integrate a deep learning-based method, the state predictive information bottleneck (SPIB), to learn an approximate reaction coordinate (RC) and use it to guide the enhanced sampling method metadynamics. We demonstrate the performance of our algorithm by applying it to six different protein-ligand complexes with available benchmark residence times, including the dissociation of the widely studied anticancer drug Imatinib (Gleevec) from both wild-type Abl kinase and drug-resistant mutants. We show how our protocol can recover quantitatively accurate residence times, potentially opening avenues for deeper insights into drug development possibilities and ligand recognition mechanisms.

HIV Drug Resistance in Newly Diagnosed Young Children in the Western Cape, South Africa.

Pretreatment of HIV drug resistance among children living with HIV (CLHIV) can compromise antiretroviral therapy (ART) effectiveness. Resistance may be transmitted directly from mothers or acquired following exposure to antiretrovirals consumed through breastfeeding or administered as prophylaxis. We performed resistance testing in children aged <3 years, newly diagnosed with HIV in Western Cape, South Africa (2021-2022), who either (1) acquired HIV via possible breastfeeding transmission from mothers who received ART (any regimen) during pregnancy/postpartum and/or (2) were exposed to protease inhibitors or integrase strand transfer inhibitors (INSTIs) in utero. Possible breastfeeding transmission was defined as testing HIV-polymerase chain reaction positive at age >28 days, after previously testing negative. We used surveillance drug-resistance mutation lists to define mutations. We included 135 CLHIV. Most mothers started ART prepregnancy (73%). Overall, 57% (77/135) of children had resistance mutations detected. Nonnucleoside reverse transcriptase inhibitor-associated, nucleoside reverse transcriptase inhibitor-associated, protease inhibitor-associated and INSTI-associated mutations were found in 55% (74/135), 10% (13/135), <1% (1/135) and <1% (1/122) of children tested, respectively. One child with breastfeeding transmission had high-level INSTI resistance detected at HIV diagnosis, aged 18 months (E138K and G118R mutations). Although not clinically relevant, nonnucleoside reverse transcriptase inhibitor-associated mutations were common. Dolutegravir is currently the preferred first-line treatment for adults and CLHIV age ≥4 weeks, and although very low INSTI resistance levels have been observed in adults, limited data exist on genotyping the integrase region in children. Pretreatment INSTI resistance in children is likely to be unusual, but future surveillance, including longitudinal studies with paired mother-child resistance testing, is needed.

Zanamivir and baloxavir combination to cure persistent influenza and coronavirus infections after hematopoietic stem cell transplant

ObjectivesImmunocompromised patients may experience prolonged shedding of influenza virus potentially leading to severe infections. Alternatives to monotherapy with neuraminidase inhibitors should be evaluated to entirely suppress viral replication and prevent drug-resistant mutations. MethodsWe investigated the clinical and virological evolution in a case of persistent influenza A and human coronavirus OC43 (HCoV-OC43) coinfection in a hematopoietic stem cell transplant recipient after different therapeutic strategies. ResultsSuccessive oseltamivir and zanamivir monotherapies failed to control both infections, with positive results persisting for over 110 days each. This led to the emergence of highly resistant oseltamivir strains due to neuraminidase mutations (E119V and R292K) followed by a deletion (del245-248), while maintaining sensitivity to zanamivir. The intra-host viral diversity data showed that the treatments impacted viral diversity of influenza virus, but not of HCoV-OC43. Considering the patient's underlying condition and the impact of prolonged viral shedding on pulmonary function, eradicating the influenza virus was necessary. A 10-day regimen combining zanamivir and baloxavir-marboxil effectively controlled influenza virus replication and was associated with the clearance of HCoV-OC43, finally resulting in comprehensive respiratory recovery. ConclusionThese observations underscore the importance of further investigating combination treatments as the primary approach to achieve influenza eradication in immunocompromised patients.

Resistance to protease inhibitors among persons living with HIV in Ghana: a case for viral load and drug resistance monitoring

ObjectiveRoutine viral load and drug resistance testing are well supported in most resource-rich settings and provide valuable benefits in the clinical care of PLWH in these communities. Undoubtedly, there exist financial and political constraints for the scale-up of viral load and drug resistance testing in Sub-Saharan Africa. To achieve the global UNAIDS 95/95/95 targets, there is the need to bridge this inequity in patient care and allow for a universal approach that leaves no community behind.MethodsVenous blood from 96 PLWH on second-line ART from Korle-Bu Teaching Hospital were collected and processed into plasma for CD4+ T- cell and viral load assessments. Ribonucleic acid (RNA) was extracted from stored plasma and the protease gene amplified, sequenced and analyzed for subtype and drug resistance mutations using the Stanford HIV drug resistance database.ResultsOut of the 96 PLWH, 37 experienced virological failure with 8 patients’ samples successfully sequenced. The predominant HIV-1 subtype identified was CRF02_AG (6/8, 75.0%) with 12.5% (1/8) each of CFR06_cpx infection and one case unable to subtype. The major PI resistance mutations identified were; M46I, I54V, V82A, I47V, I84V and L90M.ConclusionsPersons living with HIV who had experienced virologic failure in this study harboured drug resistance mutations to PI, thus compromise the effectiveness of the drugs in the second line. Resistance testing is strongly recommended prior to switching to a new regimen. This will help to inform the choice of drug and to achieve optimum therapeutic outcome among PLWH in Ghana.

Sequence Notes: Near Full-Length Genome Analysis of the First-Reported HIV-1 Circulating Recombinant Form (CRF)_10CD in Uganda.

HIV-1 is characterized by remarkable genetic diversity resulting from its high replication rate, error-prone reverse transcriptase enzyme and recombination events. In Uganda, HIV-1 subtype diversity is mostly dominated by subtypes A, D, and A1/D Unique Recombinant Forms (URFs). In this study, deep sequences of HIV from patients with known antiretroviral therapy (ART) status were analyzed to determine the subtypes and to identify drug-resistance mutations circulating in the study population. Of the 187 participant samples processed for next-generation sequencing (NGS), 137 (73%) were successfully classified. The majority of HIV-1 strains were classified as subtype A (75, 55%), D (43, 31%), with other subtypes including C (3, 2%), A1/D (9, 7%) and CRF10_CD (1, <1%). Recombinant analysis of nine complete A1/D HIV genomes identified novel recombination patterns described herein. Furthermore, we report for the first time in Uganda, an HIV-1 CRF10_CD strain from a fisherfolk in a Lake Victoria Island fishing community.

Use of next-generation sequencing on HIV-1 DNA to assess archived resistance in highly treatment-experienced people with multidrug-resistant HIV under virological control: data from the PRESTIGIO Registry.

To clarify whether next-generation sequencing (NGS) can be useful for resistance assessment in virologically suppressed highly treatment-experienced (HTE) individuals with MDR HIV. Ninety-one participants from the PRESTIGIO Registry were included. NGS was performed on HIV-DNA at 1%, 5% and 20% cut-offs; major drug resistance mutations (DRMs) were evaluated and compared with those detected in historical plasma genotypic resistance testing (h-GRT). APOBEC editing was also characterized. Participants had a complex and long treatment history [median 23 (IQR 21-25) years of ART exposure) and had been virologically suppressed since a median of 3 (IQR 2-5) years. Among all major DRMs detected by HIV-DNA NGS and/or h-GRT, 30% were exclusively found through NGS. The highest detection rate of historical major DRMs was reached with NGS set at 1%, but unusual substitutions and extensive APOBEC hypermutations suggest technical issues and poor clinical relevance in the 1%-5% interval. At NGS set at 5%, 67.2% of historical major DRMs were detected. The number of major DRMs detected exclusively by DNA-NGS as minority variants (frequency 5%-20%) was significantly higher in individuals who later experienced virological rebound compared with those who maintained virological control [median 2 (IQR 1-3) versus 1 (0-2), P = 0.030] and positively correlated with viraemia levels at rebound (rho = 0.474, P = 0.030). In non-viraemic people with an MDR virus, HIV-1 DNA NGS set at 5% is an acceptable technical cut-off that might help to reveal mutations with a potential clinical relevance. Moreover, the number of minority resistance mutations additionally detected by NGS might be associated with loss of virological control.

Retrospective study of the prevalence of acquired drug resistance after failed antiretroviral therapy in Libya

Background: The increasing rate of drug-resistant HIV mutations in Libya and other African countries threatens the efficacy of antiretroviral therapy (ART), thus necessitating urgent regional strategies to combat resistance and improve treatment outcomes. Aim: To characterize the frequency and pattern of acquired HIV drug resistance mutations in patients showing ART failure while using non-nucleoside reverse transcriptase inhibitors (NNRTI) prescribed by the Department of Infectious Diseases at Tripoli University Hospital, Libya. Methods: We collated retrospective data on 128 people living with HIV, aged 18 years or above, who experienced firstline treatment failure at Tripoli University Hospital, Libya, from 2014 to 2017. We analysed the extant HIV amino acid sequences to identify resistance mutations using algorithms from the Stanford University HIV drug resistance database. Findings: All included cases had at least one resistance mutation (n = 128; 100%) and 119 (93%) had both nucleoside reverse transcriptase inhibitors (NRTI) and NNRTI mutations. M184V/I was the most common NRTI mutation (n = 119; 93%) while K103N was the most common NNRTI mutation (n = 100; 78%). Thymidine analog mutations were detected in 51 cases (40%); featuring T215Y, D67N and M41L. Predicted full susceptibility was highest for Tenofovir (66.4%), followed by Etravirine (60%). Conclusion: We detected high level drug resistance and associated mutations among people living with HIV. Implementing drug regimens with high genetic barriers to resistance, coupled with rigorous monitoring and surveillance of HIV resistance development, could help mitigate such resistance in the future.