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Balmaseda, A.

Publications and source records attributed to Balmaseda, A..

14 recordsLinked to original sources

Dengue virus-specific memory B cell subsets differ as a function of infection history

The four dengue virus serotypes (DENV1-4) are a major global health threat. Infection generates protective immunity over multiple exposures with different serotypes. Virus-specific memory B cells (MBCs) can contribute to lasting protection, yet their development over multiple DENV infections remains undefined. We comprehensively evaluated frequencies of nine DENV-specific B cell subsets in 58 samples from dengue cases, comparing groups with primary (1{degrees}) versus secondary (2{degrees}) DENV infection history. Longitudinal sampling from acute infection to 18 months post-symptom onset enabled assessment of DENV-specific MBC temporal dynamics. Critically, we found that DENV-specific B cell frequency differed substantially at the level of phenotypic subsets in 1{degrees} versus 2{degrees} immunity, despite no significant difference in total frequency of DENV-specific B cells. In particular, DENV-specific IgG+, IgM+, atypical, and class-switched IgD-MBCs were durable until 18 months and accumulated with multiple exposures, representing a bona fide memory compartment against DENV. Also, naive-like IgD+/IgM+ DENV-specific B cells were found. Interestingly, the peak of certain DENV-specific MBCs occurred >3-months post-symptom onset in 2{degrees} DENV immunity, suggesting potential for long-term MBC maturation. We demonstrate that DENV-specific MBC subsets differ as a function of infection history, suggesting that 2{degrees} DENV immunity does not simply generate a quantitative boost, but a qualitative reprogramming of the memory pool. Significance StatementThe four dengue virus serotypes (DENV1-4) cause the most prevalent human mosquito-borne viral disease. Dengue is a febrile disease that often results in debilitating body pain and can rapidly progress to severe disease involving shock. People are generally protected after multiple exposures to different serotypes. Memory B cells (MBCs) can contribute to lasting protection against subsequent dengue. To understand how these rare DENV-specific MBCs develop over multiple exposures, we compared samples from cases with primary versus secondary (i.e., multiple) DENV infections. We found that instead of a higher frequency of total DENV-specific MBCs, particular subsets of DENV-specific MBCs were higher and peaked later after multiple exposures. This suggests that a qualitative shift in DENV-specific MBCs may contribute to protective immunity.

immunology↗

Identification of immunogenic and cross-reactive chikungunya virus-specific CD4+ T cell epitopes in chronic chikungunya viral arthritic disease in humans

Chikungunya virus (CHIKV), a mosquito-borne alphavirus, causes acute febrile illness that can progress into chronic chikungunya virus disease (CHIKVD) marked by persistent debilitating arthralgia. At present, the exact cause of chronic CHIKVD is not understood, and in humans, the targets of CD4+ T cells in CHIKV are currently unknown. Here, by stimulating peripheral blood mononuclear cells (PBMCs) collected from patients suffering from chronic CHIKVD with peptides spanning the entire CHIKV genome, we provide a comprehensive landscape of CHIKV CD4+ T cell epitopes. We identified 123 novel CD4+ T cell epitopes and three immunodominant regions in E1, nsP1 and CP proteins. The immunodominance of these E1, nsP1 and CP regions was mapped to optimal epitopes, characterized by the capacity to bind to many common HLA class II allelic variants. In addition, we designed and validated a new CHIKV-specific CD4+ T cell epitope megapool, spanning both structural and non-structural proteins, which can be a useful tool to study CHIKV-specific T cell responses in small blood volumes, typically available in pediatric or clinical samples. Finally, by in silico assessment of the conservation of the CHIKV proteome in a diverse set of alphaviruses, we defined CHIKV epitopes conserved across arthritogenic and encephalitic viruses. Overall, our work is the first to identify CD4+ T cell targets of CHIKV in humans, expanding our capacity to study the role of T cells in CHIKV pathogenesis and mapping targets of alphaviruses for vaccine design.

immunology↗

A novel method for characterizing cell-cell interactions at single-cell resolution reveals unique signatures in blood T cell-monocyte complexes during infection

Communication between immune cells through direct contact is a critical feature of immune responses. Here, we developed a novel high-throughput method to study the transcriptome and adaptive immune receptor repertoire of single cells forming complexes without needing bioinformatic deconvolution. We found that T cells and monocytes forming complexes in blood during active tuberculosis (TB) and dengue hold unique transcriptomic signatures indicative of TCR/MCH-II immune synapses. Additionally, T cells in complexes showed enrichment for effector phenotypes, imaging and transcriptomic features of active TCR signaling, and increased immune activity at diagnosis compared to after anti-TB therapy. We also found evidence for bidirectional RNA exchange between T cells and monocytes, since complexes were markedly enriched for "dual-expressing" cells (i.e., co-expressing T cell and monocyte genes). Thus, studying immune cell complexes at a single-cell resolution offers novel perspectives on immune synaptic interactions occurring in blood during infection. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=59 SRC="FIGDIR/small/612103v1_ufig1.gif" ALT="Figure 1"> View larger version (17K): org.highwire.dtl.DTLVardef@f90023org.highwire.dtl.DTLVardef@178007corg.highwire.dtl.DTLVardef@167e53corg.highwire.dtl.DTLVardef@1faff48_HPS_FORMAT_FIGEXP M_FIG C_FIG

immunology↗

Perturbed pediatric serum metabolome in mild and severe dengue disease

Dengue viruses (DENVs) are the most prevalent arboviruses affecting humans. Four billion people are at risk of infection and this burden is rapidly increasing due to geographic expansion of the mosquito vector. Infection with any of the four serotypes of DENV can result in a self-limiting disease but debilitating febrile illness (DF), and some infections progress to severe disease with manifestations such as hemorrhage and shock. DENV infection drives the metabolic state of host cells for viral benefit and induces a host-immune response that has metabolic implications that link to disease. In this study, a dynamic metabolic response to DENV infection and disease was measured in 535 pediatric patient sera using liquid chromatography-mass spectrometry. The metabolome was interrogated to discover biochemical pathways and identify key metabolites perturbed in severe dengue disease. A biomarker panel of thirty-two perturbed metabolites was utilized to classify DF, and severe dengue hemorrhagic fever (DHF) and dengue shock syndrome (DSS) with high sensitivity and specificity equating to a balanced accuracy of 96.9%. Some metabolites that were structurally confirmed here belong to important biochemical pathways of omega-3 and omega-6 fatty acids, sphingolipids, purines, and tryptophan metabolism. A previously reported trend between serotonin and platelets in DHF patients has been expanded upon here to reveal a major depletion of serotonin, but not platelets, in DSS patients. This study differentiated and classified DF and DHF/DSS using a serum metabolic biomarker panel based on perturbed biochemical pathways that have potential implications for severe dengue disease. One sentence summary: Metabolic biomarkers distinguish dengue hemorrhagic fever and dengue shock syndrome from dengue fever and lend insight to severe disease pathology

systems biology↗

Tracking the genetic diversity of SARS-CoV-2 variants in Nicaragua throughout the COVID-19 Pandemic

The global circulation of SARS-CoV-2 has been extensively documented, yet the dynamics within Central America, particularly Nicaragua, remain underexplored. This study characterizes the genomic diversity of SARS-CoV-2 in Nicaragua from March 2020 through December 2022, utilizing 1064 genomes obtained via next-generation sequencing. These sequences were selected nationwide and analyzed for variant classification, lineage predominance, and phylogenetic diversity. We employed both Illumina and Oxford Nanopore Technologies for all sequencing procedures. Results indicated a temporal and spatial shift in dominant lineages, initially from B.1 and A.2 in early 2020 to various Omicron subvariants towards the studys end. Significant lineage shifts correlated with changes in COVID-19 positivity rates, underscoring the epidemiological impact of variant dissemination. The comparative analysis with regional data underscored the low diversity of circulating lineages in Nicaragua and their delayed introduction compared to other countries in the Central American region. The study also linked specific viral mutations with hospitalization rates, emphasizing the clinical relevance of genomic surveillance. This research advances the understanding of SARS-CoV-2 evolution in Nicaragua and provide valuable information regarding its genetic diversity for public health officials in Central America. We highlight the critical role of ongoing genomic surveillance in identifying emergent lineages and informing public health strategies.

genomics↗

A numbers game: Mosquito-based arbovirus surveillance in two distinct geographic regions of Latin America

Aedes mosquitoes, as vectors of medically important arthropod-borne viruses (arboviruses), constitute a major public health threat that requires entomological and epidemiological surveillance to guide vector control programs to prevent and reduce disease transmission. In this study, we present the collaborative effort of one year of mosquito-based arbovirus surveillance in two geographically distinct regions of Latin America (Nicaragua and Ecuador). Adult female mosquitoes were collected using backpack aspirators in over 2,800 randomly selected households (Nicaragua, Ecuador) and 100 key sites (Nicaragua) from eight distinct communities (Nicaragua: 2, Ecuador: 6). A total of 1,358 mosquito female pools were processed for RNA extraction and viral RNA detection using real-time RT-PCR. Ten positive dengue virus (DENV) pools were detected (3 in Nicaragua and 7 in Ecuador), all of which were found during the rainy season and matched the serotypes found in humans (Nicaragua: DENV-1 and DENV-4; Ecuador: DENV-2). Infection rates ranged from 1.13 to 23.13, with the Nicaraguan communities having the lowest infection rates. Our results demonstrate the feasibility of detecting DENV-infected Aedes mosquitoes in low-resource settings and underscore the need for targeted mosquito arbovirus sampling and testing, providing valuable insights for future surveillance programs in the Latin American region.

ecology↗

Integrated Drivers of Basal and Acute Immunity in Diverse Human Populations

Prior studies have identified genetic, infectious, and biological associations with immune competence and disease severity; however, there have been few integrative analyses of these factors and study populations are often limited in demographic diversity. Utilizing samples from 1,705 individuals in 5 countries, we examined putative determinants of immunity, including: single nucleotide polymorphisms, ancestry informative markers, herpesvirus status, age, and sex. In healthy subjects, we found significant differences in cytokine levels, leukocyte phenotypes, and gene expression. Transcriptional responses also varied by cohort, and the most significant determinant was ancestry. In influenza infected subjects, we found two disease severity immunophenotypes, largely driven by age. Additionally, cytokine regression models show each determinant differentially contributes to acute immune variation, with unique and interactive, location-specific herpesvirus effects. These results provide novel insight into the scope of immune heterogeneity across diverse populations, the integrative effects of factors which drive it, and the consequences for illness outcomes.

immunology↗

Combining genotypes and T cell receptor distributions to infer genetic loci determining V(D)J recombination probabilities

Every T cell receptor (TCR) repertoire is shaped by a complex probabilistic tangle of genetically determined biases and immune exposures. T cells combine a random V(D)J recombination process with a selection process to generate highly diverse and functional TCRs. The extent to which an individuals genetic background is associated with their resulting TCR repertoire diversity has yet to be fully explored. Using a previously published repertoire sequencing dataset paired with high-resolution genome-wide genotyping from a large human cohort, we infer specific genetic loci associated with V(D)J recombination probabilities using genome-wide association inference. We show that V(D)J gene usage profiles are associated with variation in the TCRB locus and, specifically for the functional TCR repertoire, variation in the major histocompatibility complex locus. Further, we identify specific variations in the genes encoding the Artemis protein and the TdT protein to be associated with biasing junctional nucleotide deletion and N-insertion, respectively. These results refine our understanding of genetically-determined TCR repertoire biases by confirming and extending previous studies on the genetic determinants of V(D)J gene usage and providing the first examples of trans genetic variants which are associated with modifying junctional diversity. Together, these insights lay the groundwork for further explorations into how immune responses vary between individuals.

immunology↗

Prior dengue immunity enhances Zika virus infection of the maternal-fetal interface in rhesus macaques

Concerns have arisen that pre-existing immunity to dengue virus (DENV) could enhance Zika virus (ZIKV) disease, due to the homology between ZIKV and DENV and the observation of antibody-dependent enhancement (ADE) among DENV serotypes. To date, no study has examined the impact of pre-existing DENV immunity on ZIKV pathogenesis during pregnancy in a translational non-human primate model. Here we show that prior DENV-2 exposure enhanced ZIKV infection of maternal-fetal interface tissues in macaques. However, pre-existing DENV immunity had no detectable impact on ZIKV replication kinetics in maternal plasma, and all pregnancies progressed to term without adverse outcomes or gross fetal abnormalities detectable at delivery. Understanding the risks of ADE to pregnant women worldwide is critical as vaccines against DENV and ZIKV are developed and licensed and as DENV and ZIKV continue to circulate.

microbiology↗

T cell responses induced by attenuated flavivirus vaccination are specific and show limited cross-reactivity with other flavivirus species.

Members of the flavivirus genus share a high level of sequence similarity and often circulate in the same geographical regions. However, whether T cells induced by one viral species cross-react with other related flaviviruses has not been globally addressed. Here, we tested pools of epitopes derived from dengue (DENV), zika (ZIKV), Japanese Encephalitis (JEV), West Nile (WNV), and yellow fever (YFV) viruses by Intracellular Cytokine Staining (ICS) using PBMCs of individuals naturally exposed to DENV or immunized with DENV (TV005) or YF17D vaccines. CD8 T cell responses recognized epitopes from multiple flaviviruses, however, the magnitude of cross-reactive responses was consistently several-fold lower than those to the autologous epitope pools, and associated with lower expression of activation markers such as CD40L, CD69, and CD137. Next, we characterized the antigen sensitivity of short-term T cell lines (TCL) representing twenty-nine different individual epitope/donor combinations. TCL derived from DENV monovalent vaccinees induced CD8 and CD4 T cells that cross-reacted within the DENV serocomplex but were consistently associated with more than 100-fold lower antigen sensitivity for most other flaviviruses, with no cross-recognition of YFV derived peptides. CD8 and CD4 TCL from YF17D vaccinees were associated with very limited cross-reactivity with any other flaviviruses, and in five out of eight cases more than 1000-fold lower antigen sensitivity. Overall, our data suggest limited cross-reactivity for both CD4 and CD8 T cell responses between flaviviruses and has implications for understanding immunity elicited by natural infection, and strategies to develop live attenuated vaccines against flaviviral species. ImportanceThe envelope (E) protein is the dominant target of neutralizing antibodies for dengue virus (DENV) and yellow fever virus (YFV). Accordingly, several DENV vaccine constructs use the E protein in a live attenuated vaccine format, utilizing a backbone derived from a heterologous flavivirus (such as YF) as a delivery vector. This backbone comprises the non-structural (NS) and capsid (C) antigens which are dominant targets of T cell responses. Here, we demonstrate that cross-reactivity at the level of T cell responses amongst different flaviviruses is very limited, despite high levels of sequence homology. Thus, the use of heterologous flavivirus species as a live attenuated vaccine vector is not likely to generate optimal T cell responses, and might thus impair vaccine performance.

immunology↗

Peptide Arrays of Three Collections of Human Sera from Patients Infected with Mosquito-Borne Viruses

Global outbreaks and epidemics caused by emerging or re-emerging mosquito-borne viruses are becoming more common. These viruses belong to multiple genera including Flavivirus and Alphavirus and often cause non-specific or asymptomatic infection, which can confound viral prevalence studies. In addition, many acute phase diagnostic tests rely on the detection of viral components such as RNA or antigen. Standard serological tests are often not reliable for diagnosis after the acute phase due to cross-reactivity among viruses (e.g. flaviviruses). In order to contribute to development efforts for mosquito-borne serodiagnostics, we incubated 137 human sera on individual custom peptide arrays that consisted of over 866 unique peptides in quadruplicate. Our bioinformatics workflow to analyze these data incorporated machine learning, statistics, and B-cell epitope prediction. The unprocessed array data can be useful in separate meta-analyses that can be applicable to diverse efforts including the development of new pan-flavivirus antibodies, more accurate epitope mapping, and vaccine development against these viral pathogens.

microbiology↗

The respiratory microbiome and susceptibility to influenza virus infection

Influenza is a major cause of morbidity and mortality worldwide. However, vaccine effectiveness has been low to moderate in recent years and vaccine coverage remains low, especially in low- and middle-income countries. Supplementary methods of prevention should be explored to reduce the high burden of influenza.\n\nA potential target is the respiratory tract microbiome, complex microbial communities which envelop the respiratory epithelium and play an important role in shaping host immunity. Using a household transmission study, we examined whether the nose/throat microbiota was associated with influenza susceptibility among participants exposed to influenza virus in the household. Further, we characterized changes in the nose/throat microbiota to explore whether community stability was influenced by influenza virus infection.\n\nUsing a generalized linear mixed effects model, we found a bacterial community type associated with decreased susceptibility to influenza. The community type was rare and transitory among young children but a prevalent and stable community type among adults. Using boosting and linear mixed effects models, we found associations between the nose/throat microbiota and influenza also existed at the taxa level, specifically with the relative abundance of Alloprevotella, Prevotella, and Bacteroides oligotypes.\n\nWe found high rates of change in the bacterial community among both secondary cases and household contacts who were not infected during follow up. Preliminary results suggest short-term changes in the bacterial community structure may differ between the two groups, but further work is needed to validate our observations.\n\nLastly, age was strongly associated with susceptibility to influenza and the nose/throat bacterial community structure. Although additional studies are needed to determine causality, our results suggest the nose/throat microbiome may be a potential target for reducing the burden of influenza.\n\nAuthor summaryMicrobiome research has transformed our understanding of microbes and human health. Resident bacteria can protect the host from pathogens by shaping immunological responses. These new insights suggest the microbiome could be a target for preventing influenza virus infection, a major cause of illness and death worldwide. In this study, we explored the relationship between the nose/throat microbiota and influenza virus in Nicaraguan households.\n\nHousehold members were enrolled immediately after one member was diagnosed with influenza virus infection. This study design allowed us to identify associations between the microbiota and influenza susceptibility. We also explored whether influenza virus infection altered the bacterial community structure and found short-term changes were common among both secondary cases and household members who remained influenza negative during follow up. Lastly, we found age played major roles in both influenza susceptibility and in short-terms changes in the microbiota. Although much work is needed to determine causal relationships, our findings suggest strategies that appropriately modify the microbiome might be useful in preventing influenza virus infections.

epidemiology↗

Early transcriptional responses after dengue vaccination mirror the response to natural infection and predict neutralizing antibody titers

BackgroundSeveral promising live attenuated virus (LAV) dengue vaccines are in development, but information about innate immune responses and early correlates of protection are lacking.\n\nMethodsWe characterized human genome-wide transcripts in whole blood from 10 volunteers at 11 time-points after immunization with the dengue virus type 3 (DENV-3) component of the NIH dengue vaccine candidate TV003 and from 30 hospitalized children with acute primary DENV-3 infection. We compared day-specific gene expression patterns with subsequent neutralizing antibody (NAb) titers.\n\nResultsThe transcriptional response to vaccination was largely confined to days 5-20 and was dominated by an interferon-associated signature and a cell cycle signature that peaked on days 8 and 14, respectively. Changes in transcript abundance were much greater in magnitude and scope in symptomatic natural infection than following vaccination (maximum fold-change >200 versus 21 post-vaccination; 3,210 versus 286 transcripts with significant fold-change), but shared gene modules were induced in the same sequence. The abundance of 131 transcripts on days 8 and 9 post-vaccination was strongly correlated with NAb titers measured 6 weeks post-vaccination.\n\nConclusionsLAV dengue vaccination elicits early transcriptional responses that mirror those found in symptomatic natural infection and provide candidate early markers of protection against DENV infection.\n\nClinical Trial Registration Number: NCT00831012 (available at clinicaltrials.gov)\n\nSummary: Interferon- and cell cycle-associated gene transcript abundance levels in the peripheral blood of dengue vaccine recipients on days 8 and 9 post-vaccination were associated with dengue neutralizing antibody titers on day 42, and mirrored responses in primary dengue infection, suggesting the possibility of predicting protective immunity.

immunology↗

Capturing diverse microbial sequence with comprehensive and scalable probe design

Metagenomic sequencing has the potential to transform microbial detection and characteri zation, but new tools are needed to improve its sensitivity. We developed CATCH (Compact Aggregation of Targets for Comprehensive Hybridization), a computational method to enhance nucleic acid capture for enrichment of diverse microbial taxa. CATCH designs compact probe sets that achieve full coverage of known sequence diversity and that scale well with this diversity. To illustrate applications of CATCH, we focused on capturing viral genomes. We designed, synthesized, and validated multiple probe sets, including one that targets whole genomes of the 356 viral species known to infect humans. Capture with these probe sets enriched unique viral content on average 18x and allowed us to assemble genomes that we could not otherwise recover, while accurately preserving within-sample diversity. We used this approach to recover genomes from the 2018 Lassa fever outbreak in Nigeria and to improve detection of viral infections in samples with unknown content. Together, this work demonstrates a path toward more sensitive, cost-effective metagenomic sequencing.

genomics↗