Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Jean L. Mbisa is active.

Publication


Featured researches published by Jean L. Mbisa.


Journal of Clinical Microbiology | 2016

Comparison of Next-Generation Sequencing Technologies for Comprehensive Assessment of Full-Length Hepatitis C Viral Genomes.

Emma C. Thomson; Camilla L. C. Ip; Anjna Badhan; Mette T. Christiansen; Walt Adamson; M. Azim Ansari; David F. Bibby; Judith Breuer; Anthony Brown; Rory Bowden; Josie Bryant; David Bonsall; Ana da Silva Filipe; Chris Hinds; Emma Hudson; Paul Klenerman; Kieren Lythgow; Jean L. Mbisa; John McLauchlan; Richard Myers; Paolo Piazza; Sunando Roy; Amy Trebes; Vattipally B. Sreenu; Jeroen Witteveldt; Eleanor Barnes; Peter Simmonds

ABSTRACT Affordable next-generation sequencing (NGS) technologies for hepatitis C virus (HCV) may potentially identify both viral genotype and resistance genetic motifs in the era of directly acting antiviral (DAA) therapies. This study compared the ability of high-throughput NGS methods to generate full-length, deep, HCV sequence data sets and evaluated their utility for diagnostics and clinical assessment. NGS methods using (i) unselected HCV RNA (metagenomics), (ii) preenrichment of HCV RNA by probe capture, and (iii) HCV preamplification by PCR implemented in four United Kingdom centers were compared. Metrics of sequence coverage and depth, quasispecies diversity, and detection of DAA resistance-associated variants (RAVs), mixed HCV genotypes, and other coinfections were compared using a panel of samples with different viral loads, genotypes, and mixed HCV genotypes/subtypes [geno(sub)types]. Each NGS method generated near-complete genome sequences from more than 90% of samples. Enrichment methods and PCR preamplification generated greater sequence depth and were more effective for samples with low viral loads. All NGS methodologies accurately identified mixed HCV genotype infections. Consensus sequences generated by different NGS methods were generally concordant, and majority RAVs were consistently detected. However, methods differed in their ability to detect minor populations of RAVs. Metagenomic methods identified human pegivirus coinfections. NGS provided a rapid, inexpensive method for generating whole HCV genomes to define infecting genotypes, RAVs, comprehensive viral strain analysis, and quasispecies diversity. Enrichment methods are particularly suited for high-throughput analysis while providing the genotype and information on potential DAA resistance.


PLOS ONE | 2016

De Novo Assembly of Human Herpes Virus Type 1 (HHV-1) Genome, Mining of Non-Canonical Structures and Detection of Novel Drug-Resistance Mutations Using Short- and Long-Read Next Generation Sequencing Technologies

Timokratis Karamitros; Ian Harrison; Renata Piorkowska; Aris Katzourakis; Gkikas Magiorkinis; Jean L. Mbisa

Human herpesvirus type 1 (HHV-1) has a large double-stranded DNA genome of approximately 152 kbp that is structurally complex and GC-rich. This makes the assembly of HHV-1 whole genomes from short-read sequencing data technically challenging. To improve the assembly of HHV-1 genomes we have employed a hybrid genome assembly protocol using data from two sequencing technologies: the short-read Roche 454 and the long-read Oxford Nanopore MinION sequencers. We sequenced 18 HHV-1 cell culture-isolated clinical specimens collected from immunocompromised patients undergoing antiviral therapy. The susceptibility of the samples to several antivirals was determined by plaque reduction assay. Hybrid genome assembly resulted in a decrease in the number of contigs in 6 out of 7 samples and an increase in N(G)50 and N(G)75 of all 7 samples sequenced by both technologies. The approach also enhanced the detection of non-canonical contigs including a rearrangement between the unique (UL) and repeat (T/IRL) sequence regions of one sample that was not detectable by assembly of 454 reads alone. We detected several known and novel resistance-associated mutations in UL23 and UL30 genes. Genome-wide genetic variability ranged from <1% to 53% of amino acids in each gene exhibiting at least one substitution within the pool of samples. The UL23 gene had one of the highest genetic variabilities at 35.2% in keeping with its role in development of drug resistance. The assembly of accurate, full-length HHV-1 genomes will be useful in determining genetic determinants of drug resistance, virulence, pathogenesis and viral evolution. The numerous, complex repeat regions of the HHV-1 genome currently remain a barrier towards this goal.


Clinical Infectious Diseases | 2015

Evidence of Self-Sustaining Drug Resistant HIV-1 Lineages Among Untreated Patients in the United Kingdom

Jean L. Mbisa; Esther Fearnhill; David Dunn; Deenan Pillay; David Asboe; Patricia A. Cane

BACKGROUND About 10% of new diagnoses of subtype B human immunodeficiency virus type 1 (HIV-1) in the United Kingdom are with viruses showing transmitted drug resistance (TDR). However, there is discordance between the mutation patterns observed in HIV-infected patients failing therapy and those seen in TDR. METHODS We extracted all subtype B HIV-1 pol gene sequences from treatment-naive patients within the United Kingdom HIV Drug Resistance Database sampled between 1997 and 2011 and carrying the most common protease inhibitors, nonnucleoside and nucleotide reverse transcriptase inhibitors TDR mutations, namely, L90M, K103N, and T215Y/F/rev, respectively (n = 1140). Transmission clusters (n ≥ 2 sequences) were identified by maximum-likelihood phylogeny using a genetic distance cutoff of ≤ 1.5%. The time of origin and the basic reproductive number (R0) of clusters were estimated by Bayesian methods. RESULTS T215rev was present alone in 47% of the sequences (n = 540), K103N in 31% (n = 359), and L90M in 10% (n = 109). The remaining sequences contained T215Y or combinations of L90M, K103N, and T215rev. Fifty-five percent (n = 624) of the sequences formed highly supported transmission clusters (n = 193) containing between 2 and 15 sequences. The time of origin of 10 large clusters (≥ 8 sequences) was estimated to be between 2000 (1999-2002; 95% highest posterior density [HPD]) and 2006 (2005-2007; 95% HPD). The oldest cluster had persisted for nearly 8 years. All 10 clusters had R0s ranging from 1.3 (0.4-2.5; 95% HPD) to 2.8 (0.6-6.5; 95% HPD). CONCLUSIONS A high proportion of the most common TDR in subtype B infections in the United Kingdom is derived by onward transmission from treatment-naive patients.


Journal of General Virology | 2014

Contribution of Gag and protease to variation in susceptibility to protease inhibitors between different strains of subtype B human immunodeficiency virus type 1

Katherine A. Sutherland; Jean L. Mbisa; Patricia A. Cane; Deenan Pillay; Chris M. Parry

Recent reports have shown that human immunodeficiency virus type 1 (HIV-1) Gag can directly affect susceptibility to protease inhibitors (PIs) in the absence of known resistance mutations in protease. Inclusion of co-evolved Gag alongside protease in phenotypic drug susceptibility assays can alter PI susceptibility in comparison with protease with a WT Gag. Using a single-replication-cycle assay encompassing full-length Gag together with protease we demonstrated significant variation in PI susceptibility between a number of PI-naïve subtype B viruses. Six publicly available subtype B molecular clones, namely HXB2, NL4-3, SF2, YU2, JRFL and 89.6, displayed up to nine-fold reduced PI susceptibility in comparison with the assay reference strain. For two molecular clones, YU2 and JRFL, Gag contributed solely to the observed reduction in susceptibility, with the N-terminal region of Gag contributing significantly. Gag and protease from treatment-naïve, patient-derived viruses also demonstrated significant variation in susceptibility, with up to a 17-fold reduction to atazanavir in comparison with the assay reference strain. In contrast to the molecular clones, protease was the main determinant of the reduced susceptibility. Common polymorphisms in protease, including I13V, L63P and A71T, were shown to contribute to this reduction in PI susceptibility, in the absence of major resistance mutations. This study demonstrated significant variation in PI susceptibility of treatment-naïve patient viruses, and provided further evidence of the independent role of Gag, the protease substrate and in particular the N-terminus of Gag in PI susceptibility. It also highlighted the importance of considering co-evolved Gag and protease when assessing PI susceptibility.


Journal of Antimicrobial Chemotherapy | 2015

HIV-1 subtype influences susceptibility and response to monotherapy with the protease inhibitor lopinavir/ritonavir

Katherine A. Sutherland; Jade Ghosn; John Gregson; Jean L. Mbisa; Marie-Laure Chaix; I. Cohen Codar; J. F. Delfraissy; Constance Delaugerre; Ravindra K. Gupta

Objective PI susceptibility results from a complex interplay between protease and Gag proteins, with Gag showing wide variation across HIV-1 subtypes. We explored the impact of pre-treatment susceptibility on the outcome of lopinavir/ritonavir monotherapy. Methods Treatment-naive individuals who experienced lopinavir/ritonavir monotherapy failure from the MONARK study were matched (by subtype, viral load and baseline CD4 count) with those who achieved virological response (‘successes’). Successes were defined by viral load <400 copies/mL after week 24 and <50 copies/mL from week 48 to week 96. Full-length Gag–protease was amplified from patient samples for in vitro phenotypic susceptibility testing, with susceptibility expressed as fold change (FC) relative to a subtype B reference strain. Results Baseline lopinavir susceptibility was lower in viral failures compared with viral successes, but the differences were not statistically significant (median lopinavir susceptibility: 4.4 versus 8.5, respectively, P = 0.17). Among CRF02_AG/G patients, there was a significant difference in lopinavir susceptibility between the two groups (7.1 versus 10.4, P = 0.047), while in subtype B the difference was not significant (2.7 versus 3.4, P = 0.13). Subtype CRF02_AG/G viruses had a median lopinavir FC of 8.7 compared with 3.1 for subtype B (P = 0.001). Conclusions We report an association between reduced PI susceptibility (using full-length Gag–protease sequences) at baseline and subsequent virological failure on lopinavir/ritonavir monotherapy in antiretroviral-naive patients harbouring subtype CRF02_AG/G viruses. We speculate that this may be important in the context of suboptimal adherence in determining viral failure.


Journal of Virology | 2014

Intercontinental Dispersal of HIV-1 Subtype B Associated with Transmission among Men Who Have Sex with Men in Japan

Yutaka Takebe; Yuki Naito; Jayna Raghwani; Esther Fearnhill; Takako Sano; Shigeru Kusagawa; Jean L. Mbisa; Hongyi Zhang; Tetsuro Matano; Andrew J. Brown; Oliver G. Pybus; David Dunn; Makiko Kondo

ABSTRACT Transmission clusters of HIV-1 subtype B uniquely associated with the epidemic among men who have sex with men (MSM) in East Asia have recently been identified. Using the Los Alamos HIV sequence database and the UK HIV drug resistance database, we explored possible links between HIV MSM epidemics in East Asia and the rest of the world by using phylogenetic and molecular clock analyses. We found that JP.MSM.B-1, a subtype B MSM variant that accounts for approximately one-third of the infections among Japanese MSM, was detected worldwide, in the United Kingdom (n = 13), mainland China (n = 3), the United States, Germany, Canada, and Taiwan (n = 1 each). Interestingly, 10 United Kingdom samples plus two from Germany and the United States formed a distinct monophyletic subgroup within JP.MSM.B-1. The estimated divergence times of JP.MSM.B-1 and the latter subgroup were ∼1989 and ∼1999, respectively. These dates suggest that JP.MSM.B-1 was circulating for many years in Japan among MSM before disseminating to other countries, most likely through global MSM networks. A significant number of other Asian MSM HIV lineages were also detected in the UK HIV drug resistance database. Our study provides insight into the regional and global dispersal of Asian MSM HIV lineages. Further study of these strains is warranted to elucidate viral migration and the interrelationship of HIV epidemics on a global scale. IMPORTANCE We previously identified several transmission clusters of HIV-1 subtype B uniquely associated with the epidemic among men who have sex with men (MSM) in East Asia. Using the Los Alamos HIV sequence database and the UK HIV drug resistance database, we explored the possible interplay of HIV MSM epidemics in the different geographic regions and found previously unrecognized interrelationships among the HIV-1 epidemics in East Asia, the United Kingdom, and the rest of the world. Our study provides insight into the regional and global dispersal of Asian MSM HIV lineages and highlights the importance of strengthening HIV monitoring efforts and the need for implementing effective control measures to reduce HIV transmission on a global scale.


Journal of Antimicrobial Chemotherapy | 2013

Low frequency of genotypic resistance in HIV-1-infected patients failing an atazanavir-containing regimen: a clinical cohort study

David I. Dolling; David Dunn; Katherine A. Sutherland; Deenan Pillay; Jean L. Mbisa; Chris M. Parry; Frank Post; Caroline Sabin; Patricia A. Cane

Objectives To determine protease mutations that develop at viral failure for protease inhibitor (PI)-naive patients on a regimen containing the PI atazanavir. Methods Resistance tests on patients failing atazanavir, conducted as part of routine clinical care in a multicentre observational study, were randomly matched by subtype to resistance tests from PI-naive controls to account for natural polymorphisms. Mutations from the consensus B sequence across the protease region were analysed for association and defined using the IAS-USA 2011 classification list. Results Four hundred and five of 2528 (16%) patients failed therapy containing atazanavir as a first PI over a median (IQR) follow-up of 1.76 (0.84–3.15) years and 322 resistance tests were available for analysis. Recognized major atazanavir mutations were found in six atazanavir-experienced patients (P < 0.001), including I50L and N88S. The minor mutations most strongly associated with atazanavir experience were M36I, M46I, F53L, A71V, V82T and I85V (P < 0.05). Multiple novel mutations, I15S, L19T, K43T, L63P/V, K70Q, V77I and L89I/T/V, were also associated with atazanavir experience. Conclusions Viral failure on atazanavir-containing regimens was not common and major resistance mutations were rare, suggesting that adherence may be a major contributor to viral failure. Novel mutations were described that have not been previously documented.


Journal of Antimicrobial Chemotherapy | 2014

Phenotypic characterization of virological failure following lopinavir/ritonavir monotherapy using full-length gag–protease genes

Katherine A. Sutherland; Jean L. Mbisa; Jade Ghosn; Marie-Laure Chaix; Isabelle Cohen-Codar; Stéphane Hué; Jean-François Delfraissy; Constance Delaugerre; Ravindra K. Gupta

Objectives Major protease mutations are rarely observed following first-line failure with PIs and interpretation of genotyping results in this context may be difficult. We performed extensive phenotyping of viruses from five patients failing lopinavir/ritonavir monotherapy in the MONARK study without major PI mutations by standard genotyping. Methods Phenotypic susceptibility testing and viral infectivity assessments were performed using a single-cycle assay and fold changes (FC) relative to a lopinavir-susceptible reference strain were calculated. Results >10-fold reduced baseline susceptibility to lopinavir occurred in two of five patients and >5-fold in another two. Four of five patients exhibited phylogenetic evidence of a limited viral evolution between baseline and failure, with amino acid changes at drug resistance-associated positions in one: T81A emerged in Gag with M36I in the protease gene, correlating with a reduction in lopinavir susceptibility from FC 7 (95% CI 6–8.35) to FC 13 (95% CI 8.11–17.8). Reductions in darunavir susceptibility (>5 FC) occurred in three individuals. Discussion This study suggests both baseline reduced susceptibility and evolution of resistance could be contributing factors to PI failure, despite the absence of classical PI resistance mutations by standard testing methods. Use of phenotyping also reveals lower darunavir susceptibility, warranting further study as this agent is commonly used following lopinavir failure.


Scientific Reports | 2017

Efficient and unbiased metagenomic recovery of RNA virus genomes from human plasma samples

Carmen Manso; David F. Bibby; Jean L. Mbisa

RNA viruses cause significant human pathology and are responsible for the majority of emerging zoonoses. Mainstream diagnostic assays are challenged by their intrinsic diversity, leading to false negatives and incomplete characterisation. New sequencing techniques are expanding our ability to agnostically interrogate nucleic acids within diverse sample types, but in the clinical setting are limited by overwhelming host material and ultra-low target frequency. Through selective host RNA depletion and compensatory protocol adjustments for ultra-low RNA inputs, we are able to detect three major blood-borne RNA viruses – HIV, HCV and HEV. We recovered complete genomes and up to 43% of the genome from samples with viral loads of 104 and 103 IU/ml respectively. Additionally, we demonstrated the utility of this method in detecting and characterising members of diverse RNA virus families within a human plasma background, some present at very low levels. By applying this method to a patient sample series, we have simultaneously determined the full genome of both a novel subtype of HCV genotype 6, and a co-infecting human pegivirus. This method builds upon earlier RNA metagenomic techniques and can play an important role in the surveillance and diagnostics of blood-borne viruses.


Journal of Antimicrobial Chemotherapy | 2017

Enhanced surveillance of HIV-1 drug resistance in recently infected MSM in the UK

Emma Cunningham; Yuen-Ting Chan; Adamma Aghaizu; David F. Bibby; Gary Murphy; Jennifer Tosswill; Ross Harris; Richard Myers; Nigel Field; Valerie Delpech; Patricia A. Cane; O Noel Gill; Jean L. Mbisa

Objectives To determine the prevalence of inferred low-frequency HIV-1 transmitted drug resistance (TDR) in MSM in the UK and its predicted effect on first-line therapy. Methods The HIV-1 pol gene was amplified from 442 newly diagnosed MSM identified as likely recently infected by serological avidity testing in 2011–13. The PCR products were sequenced by next-generation sequencing with a mutation frequency threshold of >2% and TDR mutations defined according to the 2009 WHO surveillance drug resistance mutations list. Results The majority (75.6%) were infected with subtype B and 6.6% with rare complex or unique recombinant forms. At a mutation frequency threshold of >20%, 7.2% (95% CI 5.0%–10.1%) of the sequences had TDR and this doubled to 15.8% (95% CI 12.6%–19.6%) at >2% mutation frequency (P < 0.0001). The majority (26/42, 62%) of low-frequency variants were against PIs. The most common mutations detected at >20% and 2%–20% mutation frequency differed for each drug class, these respectively being: L90M (n = 7) and M46IL (n = 10) for PIs; T215rev (n = 9) and D67GN (n = 4) for NRTIs; and K103N (n = 5) and G190E (n = 2) for NNRTIs. Combined TDR was more frequent in subtype B than non-B (OR = 0.38; 95% CI = 0.17–0.88; P = 0.024) and had minimal predicted effect on recommended first-line therapies. Conclusions The data suggest differences in the types of low-frequency compared with majority TDR variants that require a better understanding of the origins and clinical significance of low-frequency variants. This will better inform diagnostic and treatment strategies.

Collaboration


Dive into the Jean L. Mbisa's collaboration.

Top Co-Authors

Avatar

David Dunn

University College London

View shared research outputs
Top Co-Authors

Avatar

David F. Bibby

Queen Mary University of London

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Deenan Pillay

University College London

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Gkikas Magiorkinis

National and Kapodistrian University of Athens

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Chris M. Parry

Medical Research Council

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Researchain Logo
Decentralizing Knowledge