Network


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

Hotspot


Dive into the research topics where Michal Juraska is active.

Publication


Featured researches published by Michal Juraska.


Nature | 2012

Increased HIV-1 vaccine efficacy against viruses with genetic signatures in Env V2

Morgane Rolland; Paul T. Edlefsen; Brendan B. Larsen; Sodsai Tovanabutra; Eric Sanders-Buell; Tomer Hertz; Allan C. deCamp; Chris Carrico; Sergey Menis; Craig A. Magaret; Hasan Ahmed; Michal Juraska; Lennie Chen; Philip Konopa; Snehal Nariya; Julia N. Stoddard; Kim Wong; Haishuang Zhao; Wenjie Deng; Brandon Maust; Meera Bose; Shana Howell; A Bates; Michelle Lazzaro; Annemarie O'Sullivan; Esther Lei; Andrea Bradfield; Grace Ibitamuno; Vatcharain Assawadarachai; Robert J. O'Connell

The RV144 trial demonstrated 31% vaccine efficacy at preventing human immunodeficiency virus (HIV)-1 infection. Antibodies against the HIV-1 envelope variable loops 1 and 2 (Env V1 and V2) correlated inversely with infection risk. We proposed that vaccine-induced immune responses against V1/V2 would have a selective effect against, or sieve, HIV-1 breakthrough viruses. A total of 936 HIV-1 genome sequences from 44 vaccine and 66 placebo recipients were examined. We show that vaccine-induced immune responses were associated with two signatures in V2 at amino acid positions 169 and 181. Vaccine efficacy against viruses matching the vaccine at position 169 was 48% (confidence interval 18% to 66%; P = 0.0036), whereas vaccine efficacy against viruses mismatching the vaccine at position 181 was 78% (confidence interval 35% to 93%; P = 0.0028). Residue 169 is in a cationic glycosylated region recognized by broadly neutralizing and RV144-derived antibodies. The predicted distance between the two signature sites (21 ± 7 Å) and their match/mismatch dichotomy indicate that multiple factors may be involved in the protection observed in RV144. Genetic signatures of RV144 vaccination in V2 complement the finding of an association between high V1/V2-binding antibodies and reduced risk of HIV-1 acquisition, and provide evidence that vaccine-induced V2 responses plausibly had a role in the partial protection conferred by the RV144 regimen.


The New England Journal of Medicine | 2015

Genetic diversity and protective efficacy of the RTS,S/AS01 malaria vaccine

Daniel E. Neafsey; Michal Juraska; Trevor Bedford; David Benkeser; Clarissa Valim; Allison D. Griggs; Marc Lievens; Salim Abdulla; Samuel Adjei; Tsiri Agbenyega; Selidji Todagbe Agnandji; Pedro Aide; Scott Anderson; Daniel Ansong; John J. Aponte; Kwaku Poku Asante; Philip Bejon; Ashley J. Birkett; Myriam Bruls; Kristen M. Connolly; Umberto D'Alessandro; Carlota Dobaño; Samwel Gesase; Brian Greenwood; Jonna Grimsby; Halidou Tinto; Mary J. Hamel; Irving Hoffman; Portia Kamthunzi; Simon Kariuki

BACKGROUND The RTS,S/AS01 vaccine targets the circumsporozoite protein of Plasmodium falciparum and has partial protective efficacy against clinical and severe malaria disease in infants and children. We investigated whether the vaccine efficacy was specific to certain parasite genotypes at the circumsporozoite protein locus. METHODS We used polymerase chain reaction-based next-generation sequencing of DNA extracted from samples from 4985 participants to survey circumsporozoite protein polymorphisms. We evaluated the effect that polymorphic positions and haplotypic regions within the circumsporozoite protein had on vaccine efficacy against first episodes of clinical malaria within 1 year after vaccination. RESULTS In the per-protocol group of 4577 RTS,S/AS01-vaccinated participants and 2335 control-vaccinated participants who were 5 to 17 months of age, the 1-year cumulative vaccine efficacy was 50.3% (95% confidence interval [CI], 34.6 to 62.3) against clinical malaria in which parasites matched the vaccine in the entire circumsporozoite protein C-terminal (139 infections), as compared with 33.4% (95% CI, 29.3 to 37.2) against mismatched malaria (1951 infections) (P=0.04 for differential vaccine efficacy). The vaccine efficacy based on the hazard ratio was 62.7% (95% CI, 51.6 to 71.3) against matched infections versus 54.2% (95% CI, 49.9 to 58.1) against mismatched infections (P=0.06). In the group of infants 6 to 12 weeks of age, there was no evidence of differential allele-specific vaccine efficacy. CONCLUSIONS These results suggest that among children 5 to 17 months of age, the RTS,S vaccine has greater activity against malaria parasites with the matched circumsporozoite protein allele than against mismatched malaria. The overall vaccine efficacy in this age category will depend on the proportion of matched alleles in the local parasite population; in this trial, less than 10% of parasites had matched alleles. (Funded by the National Institutes of Health and others.).


PLOS Computational Biology | 2015

Comprehensive Sieve Analysis of Breakthrough HIV-1 Sequences in the RV144 Vaccine Efficacy Trial

Paul T. Edlefsen; Morgane Rolland; Tomer Hertz; Sodsai Tovanabutra; Andrew J. Gartland; Allan C. deCamp; Craig A. Magaret; Hasan Ahmed; Raphael Gottardo; Michal Juraska; Connor O. McCoy; Brendan B. Larsen; Eric Sanders-Buell; Chris Carrico; Sergey Menis; Meera Bose; Rv Sequencing Team; Miguel A. Arroyo; Robert J. O’Connell; Sorachai Nitayaphan; Punnee Pitisuttithum; Jaranit Kaewkungwal; Supachai Rerks-Ngarm; Merlin L. Robb; Tatsiana Kirys; Ivelin S. Georgiev; Peter D. Kwong; Konrad Scheffler; Sergei L. Kosakovsky Pond; Jonathan M. Carlson

The RV144 clinical trial showed the partial efficacy of a vaccine regimen with an estimated vaccine efficacy (VE) of 31% for protecting low-risk Thai volunteers against acquisition of HIV-1. The impact of vaccine-induced immune responses can be investigated through sieve analysis of HIV-1 breakthrough infections (infected vaccine and placebo recipients). A V1/V2-targeted comparison of the genomes of HIV-1 breakthrough viruses identified two V2 amino acid sites that differed between the vaccine and placebo groups. Here we extended the V1/V2 analysis to the entire HIV-1 genome using an array of methods based on individual sites, k-mers and genes/proteins. We identified 56 amino acid sites or “signatures” and 119 k-mers that differed between the vaccine and placebo groups. Of those, 19 sites and 38 k-mers were located in the regions comprising the RV144 vaccine (Env-gp120, Gag, and Pro). The nine signature sites in Env-gp120 were significantly enriched for known antibody-associated sites (p = 0.0021). In particular, site 317 in the third variable loop (V3) overlapped with a hotspot of antibody recognition, and sites 369 and 424 were linked to CD4 binding site neutralization. The identified signature sites significantly covaried with other sites across the genome (mean = 32.1) more than did non-signature sites (mean = 0.9) (p < 0.0001), suggesting functional and/or structural relevance of the signature sites. Since signature sites were not preferentially restricted to the vaccine immunogens and because most of the associations were insignificant following correction for multiple testing, we predict that few of the genetic differences are strongly linked to the RV144 vaccine-induced immune pressure. In addition to presenting results of the first complete-genome analysis of the breakthrough infections in the RV144 trial, this work describes a set of statistical methods and tools applicable to analysis of breakthrough infection genomes in general vaccine efficacy trials for diverse pathogens.


Statistical Methods in Medical Research | 2017

Finite-sample corrected generalized estimating equation of population average treatment effects in stepped wedge cluster randomized trials.

JoAnna Scott; Allan deCamp; Michal Juraska; Michael P Fay; Peter B. Gilbert

Stepped wedge designs are increasingly commonplace and advantageous for cluster randomized trials when it is both unethical to assign placebo, and it is logistically difficult to allocate an intervention simultaneously to many clusters. We study marginal mean models fit with generalized estimating equations for assessing treatment effectiveness in stepped wedge cluster randomized trials. This approach has advantages over the more commonly used mixed models that (1) the population-average parameters have an important interpretation for public health applications and (2) they avoid untestable assumptions on latent variable distributions and avoid parametric assumptions about error distributions, therefore, providing more robust evidence on treatment effects. However, cluster randomized trials typically have a small number of clusters, rendering the standard generalized estimating equation sandwich variance estimator biased and highly variable and hence yielding incorrect inferences. We study the usual asymptotic generalized estimating equation inferences (i.e., using sandwich variance estimators and asymptotic normality) and four small-sample corrections to generalized estimating equation for stepped wedge cluster randomized trials and for parallel cluster randomized trials as a comparison. We show by simulation that the small-sample corrections provide improvement, with one correction appearing to provide at least nominal coverage even with only 10 clusters per group. These results demonstrate the viability of the marginal mean approach for both stepped wedge and parallel cluster randomized trials. We also study the comparative performance of the corrected methods for stepped wedge and parallel designs, and describe how the methods can accommodate interval censoring of individual failure times and incorporate semiparametric efficient estimators.


Blood Advances | 2017

Innate transcriptional effects by adjuvants on the magnitude, quality, and durability of HIV envelope responses in NHPs

Joseph R. Francica; Caitlyn Linde; Emilio Siena; Carrie Johnson; Michal Juraska; Nicole L. Yates; Bronwyn M. Gunn; Ennio De Gregorio; Barbara J. Flynn; Nicholas M. Valiante; Padma Malyala; Susan W. Barnett; Pampi Sarkar; Manmohan Singh; Siddhartha Jain; Margaret E. Ackerman; Munir Alam; Guido Ferrari; Georgia D. Tomaras; Derek T. O’Hagan; Alan Aderem; Galit Alter; Robert A. Seder

Adjuvants have a critical role for improving vaccine efficacy against many pathogens, including HIV. Here, using transcriptional RNA profiling and systems serology, we assessed how distinct innate pathways altered HIV-specific antibody responses in nonhuman primates (NHPs) using 8 clinically based adjuvants. NHPs were immunized with a glycoprotein 140 HIV envelope protein (Env) and insoluble aluminum salts (alum), MF59, or adjuvant nanoemulsion (ANE) coformulated with or without Toll-like receptor 4 (TLR4) and 7 agonists. These were compared with Env administered with polyinosinic-polycytidylic acid:poly-L-lysine, carboxymethylcellulose (pIC:LC) or immune-stimulating complexes. Addition of the TLR4 agonist to alum enhanced upregulation of a set of inflammatory genes, whereas the TLR7 agonist suppressed expression of alum-responsive inflammatory genes and enhanced upregulation of antiviral and interferon (IFN) genes. Moreover, coformulation of the TLR4 or 7 agonists with alum boosted Env-binding titers approximately threefold to 10-fold compared with alum alone, but remarkably did not alter gene expression or enhance antibody titers when formulated with ANE. The hierarchy of adjuvant potency was established after the second of 4 immunizations. In terms of antibody durability, antibody titers decreased ∼10-fold after the final immunization and then remained stable after 65 weeks for all adjuvants. Last, Env-specific Fc-domain glycan structures and a series of antibody effector functions were assessed by systems serology. Antiviral/IFN gene signatures correlated with Fc-receptor binding across all adjuvant groups. This study defines the potency and durability of 8 different clinically based adjuvants in NHPs and shows how specific innate pathways can alter qualitative aspects of Env antibody function.


The Journal of Infectious Diseases | 2018

Neutralizing Antibody Correlates Analysis of Tetravalent Dengue Vaccine Efficacy Trials in Asia and Latin America

Zoe Moodie; Michal Juraska; Ying Huang; Yingying Zhuang; Youyi Fong; Lindsay N. Carpp; Steven G. Self; Laurent Chambonneau; Robert Small; Nicholas Jackson; Fernando Noriega; Peter B. Gilbert

Background In the CYD14 and CYD15 Phase 3 trials of the CYD-TDV dengue vaccine, estimated vaccine efficacy (VE) against symptomatic, virologically confirmed dengue (VCD) occurring between months 13 and 25 was 56.5% and 60.8%, respectively. Methods Neutralizing antibody titers to the 4 dengue serotypes in the CYD-TDV vaccine insert were measured at month 13 in a randomly sampled immunogenicity subcohort and in all VCD cases through month 25 (2848 vaccine, 1574 placebo) and studied for their association with VCD and with the level of VE to prevent VCD. Results For each trial and serotype, vaccinees with higher month 13 titer to the serotype had significantly lower risk of VCD with that serotype (hazard ratios, 0.19-0.43 per 10-fold increase). Moreover, for each trial, vaccinees with higher month 13 average titer to the 4 serotypes had significantly higher VE against VCD of any serotype (P < .001). Conclusions Neutralizing antibody titers postdose 3 correlate with CYD-TDV VE to prevent dengue. High titers associate with high VE for all serotypes, baseline serostatus groups, age groups, and both trials. However, lowest titers do not fully correspond to zero VE, indicating that other factors influence VE.


Statistical Communications in Infectious Diseases | 2017

Basis and Statistical Design of the Passive HIV-1 Antibody Mediated Prevention (AMP) Test-of-Concept Efficacy Trials

Peter B. Gilbert; Michal Juraska; Allan C. deCamp; Shelly Karuna; Srilatha Edupuganti; Nyaradzo Mgodi; Deborah Donnell; Carter Bentley; Nirupama Sista; Philip Andrew; Abby Isaacs; Yunda Huang; Lily Zhang; Edmund V. Capparelli; Nidhi Kochar; Jing Wang; Susan H. Eshleman; Kenneth H. Mayer; Craig A. Magaret; John Hural; James G. Kublin; Glenda Gray; David C. Montefiori; Margarita M Gomez; David N. Burns; Julie McElrath; Julie E. Ledgerwood; Barney S. Graham; John R. Mascola; Myron S. Cohen

Abstract Background Anti-HIV-1 broadly neutralizing antibodies (bnAbs) have been developed as potential agents for prevention of HIV-1 infection. The HIV Vaccine Trials Network and the HIV Prevention Trials Network are conducting the Antibody Mediated Prevention (AMP) trials to assess whether, and how, intravenous infusion of the anti-CD4 binding site bnAb, VRC01, prevents HIV-1 infection. These are the first test-of-concept studies to assess HIV-1 bnAb prevention efficacy in humans. Methods The AMP trials are two parallel phase 2b HIV-1 prevention efficacy trials conducted in two cohorts: 2700 HIV-uninfected men and transgender persons who have sex with men in the United States, Peru, Brazil, and Switzerland; and 1500 HIV-uninfected sexually active women in seven countries in sub-Saharan Africa. Participants are randomized 1:1:1 to receive an intravenous infusion of 10 mg/kg VRC01, 30 mg/kg VRC01, or a control preparation every 8 weeks for a total of 10 infusions. Each trial is designed (1) to assess overall prevention efficacy (PE) pooled over the two VRC01 dose groups vs. control and (2) to assess VRC01 dose and laboratory markers as correlates of protection (CoPs) against overall and genotype- and phenotype-specific infection. Results Each AMP trial is designed to have 90 % power to detect PE > 0 % if PE is ≥ 60 %. The AMP trials are also designed to identify VRC01 properties (i. e., concentration and effector functions) that correlate with protection and to provide insight into mechanistic CoPs. CoPs are assessed using data from breakthrough HIV-1 infections, including genetic sequences and sensitivities to VRC01-mediated neutralization and Fc effector functions. Conclusions The AMP trials test whether VRC01 can prevent HIV-1 infection in two study populations. If affirmative, they will provide information for estimating the optimal dosage of VRC01 (or subsequent derivatives) and identify threshold levels of neutralization and Fc effector functions associated with high-level protection, setting a benchmark for future vaccine evaluation and constituting a bridge to other bnAb approaches for HIV-1 prevention.


PLOS ONE | 2017

Sieve analysis of breakthrough HIV-1 sequences in HVTN 505 identifies vaccine pressure targeting the CD4 binding site of Env-gp120

Allan C. deCamp; Morgane Rolland; Paul T. Edlefsen; Eric Sanders-Buell; Breana Hall; Craig A. Magaret; Andrew J. Fiore-Gartland; Michal Juraska; Lindsay N. Carpp; Shelly Karuna; Meera Bose; Steven LePore; Shana Miller; Annemarie O'Sullivan; Kultida Poltavee; Hongjun Bai; Kalpana Dommaraju; Hong Zhao; Kim Wong; Lennie Chen; Hasan Ahmed; Derrick Goodman; Matthew Zirui Tay; Raphael Gottardo; Richard A. Koup; Robert T. Bailer; John R. Mascola; Barney S. Graham; Mario Roederer; Robert J. O’Connell

Although the HVTN 505 DNA/recombinant adenovirus type 5 vector HIV-1 vaccine trial showed no overall efficacy, analysis of breakthrough HIV-1 sequences in participants can help determine whether vaccine-induced immune responses impacted viruses that caused infection. We analyzed 480 HIV-1 genomes sampled from 27 vaccine and 20 placebo recipients and found that intra-host HIV-1 diversity was significantly lower in vaccine recipients (P ≤ 0.04, Q-values ≤ 0.09) in Gag, Pol, Vif and envelope glycoprotein gp120 (Env-gp120). Furthermore, Env-gp120 sequences from vaccine recipients were significantly more distant from the subtype B vaccine insert than sequences from placebo recipients (P = 0.01, Q-value = 0.12). These vaccine effects were associated with signatures mapping to CD4 binding site and CD4-induced monoclonal antibody footprints. These results suggest either (i) no vaccine efficacy to block acquisition of any viral genotype but vaccine-accelerated Env evolution post-acquisition; or (ii) vaccine efficacy against HIV-1s with Env sequences closest to the vaccine insert combined with increased acquisition due to other factors, potentially including the vaccine vector.


Lifetime Data Analysis | 2016

Mark-specific hazard ratio model with missing multivariate marks

Michal Juraska; Peter B. Gilbert

An objective of randomized placebo-controlled preventive HIV vaccine efficacy (VE) trials is to assess the relationship between vaccine effects to prevent HIV acquisition and continuous genetic distances of the exposing HIVs to multiple HIV strains represented in the vaccine. The set of genetic distances, only observed in failures, is collectively termed the ‘mark.’ The objective has motivated a recent study of a multivariate mark-specific hazard ratio model in the competing risks failure time analysis framework. Marks of interest, however, are commonly subject to substantial missingness, largely due to rapid post-acquisition viral evolution. In this article, we investigate the mark-specific hazard ratio model with missing multivariate marks and develop two inferential procedures based on (i) inverse probability weighting (IPW) of the complete cases, and (ii) augmentation of the IPW estimating functions by leveraging auxiliary data predictive of the mark. Asymptotic properties and finite-sample performance of the inferential procedures are presented. This research also provides general inferential methods for semiparametric density ratio/biased sampling models with missing data. We apply the developed procedures to data from the HVTN 502 ‘Step’ HIV VE trial.


Proceedings of the National Academy of Sciences of the United States of America | 2018

Viral genetic diversity and protective efficacy of a tetravalent dengue vaccine in two phase 3 trials

Michal Juraska; Craig A. Magaret; Jason Shao; Lindsay N. Carpp; Andrew J. Fiore-Gartland; David Benkeser; Yves Girerd-Chambaz; Edith Langevin; Carina Frago; Bruno Guy; Nicholas Jackson; Kien Duong Thi Hue; Cameron P. Simmons; Paul T. Edlefsen; Peter B. Gilbert

Significance Dengue virus (DENV) vaccine development is complicated by the existence of four genetically diverse DENV serotypes. A high degree of antigenic match between vaccine strains and circulating DENVs may be important to achieve high vaccine efficacy (VE). Using data from two phase 3 trials of the CYD-TDV vaccine, we assessed whether and how VE against virologically confirmed dengue varied with amino acid sequence characteristics and genotypes of the disease-causing DENVs. VE decreased with the degree of amino acid dissimilarity between the vaccine insert and disease-causing DENVs. After accounting for differential VE by serotype, this effect seemed to occur only for younger children, who also had lower baseline seropositivity and potentially a less broadly protective immune response. Two phase 3 placebo-controlled trials of the CYD-TDV vaccine, evaluated in children aged 2−14 y (CYD14) and 9−16 y (CYD15), demonstrated vaccine efficacy (VE) of 56.5% and 60.8%, respectively, against symptomatic virologically confirmed dengue (VCD). Sieve analyses were conducted to evaluate whether and how VE varied with amino acid sequence features of dengue viruses (DENVs). DENV premembrane/envelope amino acid sequences from VCD endpoint cases were aligned with the vaccine insert sequences, and extensions of the proportional hazards model were applied to assess variation in VE with amino acid mismatch proportion distances from vaccine strains, individual amino acid residues, and phylogenetic genotypes. In CYD14, VE against VCD of any serotype (DENV-Any) decreased significantly with increasing amino acid distance from the vaccine, whereas in CYD15, VE against DENV-Any was distance-invariant. Restricting to the common age range and amino acid distance range between the trials and accounting for differential VE by serotype, however, showed no evidence of VE variation with distance in either trial. In serotype-specific analyses, VE against DENV4 decreased significantly with increasing amino acid distance from the DENV4 vaccine insert and was significantly greater against residue-matched DENV4 at eight signature positions. These effects were restricted to 2- to 8-y-olds, potentially because greater seropositivity of older children at baseline might facilitate a broader protective immune response. The relevance of an antigenic match between vaccine strains and circulating DENVs was also supported by greater estimated VE against serotypes and genotypes for which the circulating DENVs had shorter amino acid sequence distances from the vaccine.

Collaboration


Dive into the Michal Juraska's collaboration.

Top Co-Authors

Avatar

Craig A. Magaret

Fred Hutchinson Cancer Research Center

View shared research outputs
Top Co-Authors

Avatar

Peter B. Gilbert

Fred Hutchinson Cancer Research Center

View shared research outputs
Top Co-Authors

Avatar

Allan C. deCamp

Fred Hutchinson Cancer Research Center

View shared research outputs
Top Co-Authors

Avatar

Paul T. Edlefsen

Fred Hutchinson Cancer Research Center

View shared research outputs
Top Co-Authors

Avatar

Eric Sanders-Buell

Walter Reed Army Institute of Research

View shared research outputs
Top Co-Authors

Avatar

Hasan Ahmed

Fred Hutchinson Cancer Research Center

View shared research outputs
Top Co-Authors

Avatar

Lindsay N. Carpp

Fred Hutchinson Cancer Research Center

View shared research outputs
Top Co-Authors

Avatar

Meera Bose

Walter Reed Army Institute of Research

View shared research outputs
Top Co-Authors

Avatar

Morgane Rolland

Walter Reed Army Institute of Research

View shared research outputs
Top Co-Authors

Avatar

Andrew J. Fiore-Gartland

Fred Hutchinson Cancer Research Center

View shared research outputs
Researchain Logo
Decentralizing Knowledge