Immunological signatures unveiled by integrative systems vaccinology characterization of dengue vaccination trials and natural infection.

Introduction: Dengue virus infection is a global health problem lacking specific therapy, requiring an improved understanding of DENV immunity and vaccine responses. Considering the recent emerging of new dengue vaccines, here we performed an integrative systems vaccinology characterization of molecular signatures triggered by the natural DENV infection (NDI) and attenuated dengue virus infection models (DVTs). Methods and results: We analyzed 955 samples of transcriptomic datasets of patients with NDI and attenuated dengue virus infection trials (DVT1, DVT2, and DVT3) using a systems vaccinology approach. Differential expression analysis identified 237 common differentially expressed genes (DEGs) between DVTs and NDI. Among them, 28 and 60 DEGs were up or downregulated by dengue vaccination during DVT2 and DVT3, respectively, with 20 DEGs intersecting across all three DVTs. Enriched biological processes of these genes included type I/II interferon signaling, cytokine regulation, apoptosis, and T-cell differentiation. Principal component analysis based on 20 common DEGs (overlapping between DVTs and our NDI validation dataset) distinguished dengue patients by disease severity, particularly in the late acute phase. Machine learning analysis ranked the ten most critical predictors of disease severity in NDI, crucial for the anti-viral immune response. Conclusion: This work provides insights into the NDI and vaccine-induced overlapping immune response and suggests molecular markers (e.g., IFIT5, ISG15, and HERC5) for anti-dengue-specific therapies and effective vaccination development.

Integrative systems immunology uncovers molecular networks of the cell cycle that stratify COVID-19 severity.

Several perturbations in the number of peripheral blood leukocytes, such as neutrophilia and lymphopenia associated with Coronavirus disease 2019 (COVID-19) severity, point to systemic molecular cell cycle alterations during severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) infection. However, the landscape of cell cycle alterations in COVID-19 remains primarily unexplored. Here, we performed an integrative systems immunology analysis of publicly available proteome and transcriptome data to characterize global changes in the cell cycle signature of COVID-19 patients. We found significantly enriched cell cycle-associated gene co-expression modules and an interconnected network of cell cycle-associated differentially expressed proteins (DEPs) and genes (DEGs) by integrating the molecular data of 1469 individuals (981 SARS-CoV-2 infected patients and 488 controls [either healthy controls or individuals with other respiratory illnesses]). Among these DEPs and DEGs are several cyclins, cell division cycles, cyclin-dependent kinases, and mini-chromosome maintenance proteins. COVID-19 patients partially shared the expression pattern of some cell cycle-associated genes with other respiratory illnesses but exhibited some specific differential features. Notably, the cell cycle signature predominated in the patients' blood leukocytes (B, T, and natural killer cells) and was associated with COVID-19 severity and disease trajectories. These results provide a unique global understanding of distinct alterations in cell cycle-associated molecules in COVID-19 patients, suggesting new putative pathways for therapeutic intervention.

Alterações sistêmicas na assinatura do ciclo celular de pacientes com COVID-19 / Systemic changes in the cell cycle signature of patients with COVID-19

Com base nas perturbações fosfoproteômicas de moléculas associadas ao ciclo celular em células infectadas pelo coronavírus causador da síndrome respiratória aguda grave (SARSCoV)-2, a hipótese de inibidores do ciclo celular como uma terapia potencial para a doença de coronavírus 2019 (COVID-19) foi proposta. No entanto, o cenário das alterações do ciclo celular em COVID-19 permanece inexplorado. Aqui, realizamos uma análise integrativa de sistemas imunológicos de proteoma publicamente disponível (espectrometria de massa) e dados de transcriptoma (sequenciamento de RNA em massa e de célula única [scRNAseq]), com o objetivo de caracterizar mudanças globais na assinatura do ciclo celular de pacientes com COVID-19. Além de módulos de co-expressão de genes significativos enriquecidos associados ao ciclo celular, encontramos uma rede interconectada de proteínas diferencialmente expressas associadas ao ciclo celular (DEPs) e genes (DEGs) integrando dados moleculares de 1.480 indivíduos (974 pacientes infectados por SARS-CoV-2 e 506 controles [controles saudáveis ou indivíduos com outras doenças respiratórias]). Entre esses DEPs e DEGs estão várias ciclinas (CCNs), ciclo de divisão celular (CDCs), quinases dependentes de ciclinas (CDKs) e proteínas de manutenção de minicromossomos (MCMs). Embora os pacientes com COVID-19 compartilhem parcialmente o padrão de expressão de algumas moléculas associadas ao ciclo celular com outras doenças respiratórias, eles exibiram uma expressão significativamente maior de moléculas associadas ao ciclo celular relacionadas à gravidade da doença. Notavelmente, a assinatura do ciclo celular predominou nos leucócitos do sangue dos pacientes, mas não nas vias aéreas superiores. Os dados de scRNAseq de 229 indivíduos (159 pacientes com COVID- 19 e 70 controles) revelaram que as alterações das assinaturas do ciclo celular predominam nas células B, T e NK. Esses resultados fornecem uma compreensão global única das alterações nas moléculas associadas ao ciclo celular em pacientes com COVID-19, sugerindo novas vias putativas para intervenção terapêutica

Based on phosphoproteomics perturbations of cell cycle-associated molecules in severe acute respiratory syndrome coronavirus (SARS-CoV)-2-infected cells, the hypothesis of cell cycle inhibitors as a potential therapy for Coronavirus disease 2019 (COVID-19) has been proposed. However, the landscape of cell cycle alterations in COVID-19 remains mostly unexplored. Here, we performed an integrative systems immunology analysis of publicly available proteome (mass spectrometry) and transcriptome data (bulk and single-cell RNA sequencing [scRNAseq]), aiming to characterize global changes in the cell cycle signature of COVID-19 patients. Beyond significant enriched cell cycle-associated gene co-expression modules, we found an interconnected network of cell cycle-associated differentially expressed proteins (DEPs) and genes (DEGs) by integrating molecular data of 1,480 individuals (974 SARS-CoV- 2 infected patients and 506 controls [either healthy controls or individuals with other respiratory illness]). Among these DEPs and DEGs are several cyclins (CCNs), cell division cycle (CDCs), cyclin-dependent kinases (CDKs), and mini-chromosome maintenance proteins (MCMs). Although COVID-19 patients partially shared the expression pattern of some cell cycleassociated molecules with other respiratory illnesses, they exhibited a significantly higher expression of cell cycle-associated molecules associated with disease severity. Notably, the cell cycle signature predominated in the patients blood leukocytes but not in the upper airways. The scRNAseq data from 229 individuals (159 COVID-19 patients and 70 controls) revealed that the alterations of cell cycle signatures predominate in B, T, and NK cells. These results provide a unique global comprehension of the alterations in cell cycle-associated molecules in COVID-19 patients, suggesting new putative pathways for therapeutic intervention