6 research outputs found

    Analysis of the immunological biomarker profile during acute Zika virus infection reveals the overexpression of CXCL10, a chemokine linked to neuronal damage.

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    BACKGROUND: Infection with Zika virus (ZIKV) manifests in a broad spectrum of disease ranging from mild illness to severe neurological complications and little is known about Zika immunopathogenesis. OBJECTIVES: To define the immunologic biomarkers that correlate with acute ZIKV infection. METHODS: We characterized the levels of circulating cytokines, chemokines, and growth factors in 54 infected patients of both genders at five different time points after symptom onset using microbeads multiplex immunoassay; comparison to 100 age-matched controls was performed for statistical analysis and data mining. FINDINGS: ZIKV-infected patients present a striking systemic inflammatory response with high levels of pro-inflammatory mediators. Despite the strong inflammatory pattern, IL-1Ra and IL-4 are also induced during the acute infection. Interestingly, the inflammatory cytokines IL-1β, IL-13, IL-17, TNF-α, and IFN-γ; chemokines CXCL8, CCL2, CCL5; and the growth factor G-CSF, displayed a bimodal distribution accompanying viremia. While this is the first manuscript to document bimodal distributions of viremia in ZIKV infection, this has been documented in other viral infections, with a primary viremia peak during mild systemic disease and a secondary peak associated with distribution of the virus to organs and tissues. MAIN CONCLUSIONS: Biomarker network analysis demonstrated distinct dynamics in concurrence with the bimodal viremia profiles at different time points during ZIKV infection. Such a robust cytokine and chemokine response has been associated with blood-brain barrier permeability and neuroinvasiveness in other flaviviral infections. High-dimensional data analysis further identified CXCL10, a chemokine involved in foetal neuron apoptosis and Guillain-Barré syndrome, as the most promising biomarker of acute ZIKV infection for potential clinical application

    Analysis of the immunological biomarker profile during acute zika virus infection reveals the overexpression of CXCL10, a chemokine linked to neuronal damage

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    BACKGROUND Infection with Zika virus (ZIKV) manifests in a broad spectrum of disease ranging from mild illness to severe neurological complications and little is known about Zika immunopathogenesis. OBJECTIVES To define the immunologic biomarkers that correlate with acute ZIKV infection. METHODS We characterized the levels of circulating cytokines, chemokines, and growth factors in 54 infected patients of both genders at five different time points after symptom onset using microbeads multiplex immunoassay; comparison to 100 age-matched controls was performed for statistical analysis and data mining. FINDINGS ZIKV-infected patients present a striking systemic inflammatory response with high levels of pro-inflammatory mediators. Despite the strong inflammatory pattern, IL-1Ra and IL-4 are also induced during the acute infection. Interestingly, the inflammatory cytokines IL-1β, IL-13, IL-17, TNF-α, and IFN-γ; chemokines CXCL8, CCL2, CCL5; and the growth factor G-CSF, displayed a bimodal distribution accompanying viremia. While this is the first manuscript to document bimodal distributions of viremia in ZIKV infection, this has been documented in other viral infections, with a primary viremia peak during mild systemic disease and a secondary peak associated with distribution of the virus to organs and tissues. MAIN CONCLUSIONS Biomarker network analysis demonstrated distinct dynamics in concurrence with the bimodal viremia profiles at different time points during ZIKV infection. Such a robust cytokine and chemokine response has been associated with blood-brain barrier permeability and neuroinvasiveness in other flaviviral infections. High-dimensional data analysis further identified CXCL10, a chemokine involved in foetal neuron apoptosis and Guillain-Barré syndrome, as the most promising biomarker of acute ZIKV infection for potential clinical application. © 2018, Fundacao Oswaldo Cruz. All rights reserved

    A profile of Latinos with poorly controlled diabetes in South Florida

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    Introduction: Latinos are the largest minority group in the United States and diabetes or pre-diabetes affects more than 70% of Latinos aged 45 years and older. Miami-Dade County is home to one of the highest populations of diverse Latinos. In this descriptive manuscript, we present baseline characteristics of participants enrolled in the Miami Healthy Heart Initiative (MHHI). This was a study conducted to determine the effects of a community health worker (CHW) intervention among Latinos with poorly controlled diabetes in South Florida. Methods: We recruited 300 diverse Latino adults with suboptimal diabetes outcomes (HbA1c≥8) into MHHI. This randomized control trial examined the impact of a 1-year CHW-led intervention on glycemic control, blood pressure, and cholesterol levels. At baseline, physiologic measures, including HbA1c, LDL, blood pressure, and BMI, were assessed. Data on socio-demographic characteristics and additional determinants of health such as depression status, provider communication, diet, exercise, cigarette smoking, readiness to change diabetes management behaviors (stages of change), and confidence in ability to improve diabetes self-care (self-efficacy) were collected. Results: Participants came from 20 different countries, with Cuban Americans representing 38% of the sample. Most had lived in the US for more than 10 years, had completed at least 12 years of school, and had high levels of health literacy, yet 48% had very low acculturation. Nearly 80% had poor self-efficacy, 80% met the criteria for depression, and 83% were not adherent to their medications. More than half the population was not at their target for blood pressure, 50% were above the recommended LDL goal, and most were obese. Conclusion: In a diverse population of Latinos with poorly controlled diabetes in Miami, we found high rates of depression, obesity, medication non-adherence, poor self-efficacy, and provider communication. These may contribute to poor diabetes control, high blood pressure, and elevated cholesterol

    The role of autoantibodies in post-chikungunya viral arthritis disease severity

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    ABSTRACT Post-chikungunya viral arthritis may persist for months to years after infection and is characterized by relapsing and remitting symptoms. This study investigates the relationship between autoantibodies and chikungunya arthritis severity, providing insights into arthritis pathogenesis. We assessed arthritis measures in a cohort of serologically confirmed chikungunya cases from Colombia between 2019 and 2021 (n = 144). We measured arthritis disease severity, flare intensity, pain, and disability, then plasma antibody levels of rheumatoid factor IgM, anti-cyclic citrullinated peptide (CCP), anti-citrullinated α-enolase peptide 1 (CEP-1), anti-nuclear antibody (ANA), anti-citrullinated vimentin (Sa), and immunoglobulins produced in response to chikungunya, Zika and Mayaro. Finally, we examined the correlation between the arthritis measures with the titers of antibodies hypothesized to play a potential role in arthritis pathogenesis. Cases were characterized by moderate disease severity (Disease Activity Score-28 mean, 3.66 ± 1.23) in current arthritis flare with moderate intensity (Flare Score, 25.42 ± 12.38), moderate pain (61.47 ± 27.23 on visual analog scale 0–100), and some disability (Health Assessment Questionnaire 0.77 ± 0.58). After Bonferroni adjustment, there were no statistically significant correlations between the levels of antibodies and arthritis measures. Weak correlations between rheumatoid factor IgM with arthritis severity and pain (P < 0.01) and anti-CEP1 with disability (P < 0.05) were observed when unadjusted for multiple comparisons. The data suggest that autoantibodies, such as RF, anti-CCP, and anti-CEP-1, do not correlate with post-chikungunya arthritis disease severity, thus unlikely to significantly contribute to pathogenesis. Exposure to other arboviral infections was not related to worse post-chikungunya arthritis. This suggests that other pathways for arthritis disease pathogenesis should be examined.IMPORTANCEThis cohort study describes the correlation between levels of autoantibodies, viral antibodies, and arthritis outcomes, suggesting that autoantibodies known to play an important role in other autoimmune diseases do not correlate with chikungunya arthritis relapse disease severity and are unlikely to contribute significantly to arthritis pathogenesis. This suggests that other pathways for arthritis disease pathogenesis should be examined to identify diagnostic and prognostic markers of alphaviral arthritis

    Analysis of the immunological biomarker profile during acute Zika virus infection reveals the overexpression of CXCL10, a chemokine already linked to neuronal damage

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    AbstractInfection with Zika virus (ZIKV) manifests in a broad spectrum of disease ranging from mild illness to severe neurological complications. To define immunologic correlates of ZIKV infection, we characterized the levels of circulating cytokines, chemokines and growth factors in 54 infected patients of both genders, at five different time-points after symptoms onset using microbeads multiplex immunoassay; statistical analysis and data mining compared to 100 age-matched controls. ZIKV-infected patients present a striking systemic inflammatory response with high levels of pro-inflammatory mediators. Despite the strong inflammatory pattern, IL-1Ra and IL-4 are also induced during acute infection. Interestingly, the inflammatory cytokines, IL-1β, IL-13, IL-17, TNF-α, IFN-γ; chemokines, CXCL8, CCL2, CCL5; and the growth factor G-CSF display a bimodal distribution accompanying viremia. While this is the first manuscript to document bimodal distributions of viremia in ZIKV infection, bimodal viremia has been documented in other viral infections with primary viremia peaks during mild systemic disease and a secondary viremia with distribution of the virus to organs and tissues. Moreover, biomarker network analysis demonstrated distinct dynamics in consonance with the bimodal viremia profiles at different time-points during ZIKV infection. Such robust cytokine and chemokine response has been associated with blood-brain barrier permeability and neuroinvasiveness in other flaviviral infections. High-dimensional data analysis further established CXCL10, a chemokine involved in fetal neuron apoptosis and Guillain-Barré syndrome, as the most promising biomarker of acute ZIKV infection for a potential clinical application.Author SummaryInfection with Zika virus manifests in a broad spectrum of disease ranging from mild illness to severe neurological complications. This study characterized the levels of circulating cytokines, chemokines and growth factors in Zika-infected patients showing an inflammatory immune response. Specifically, this study identified a chemokine, CXCL10, known to be involved in fetal neuron apoptosis and Guillain-Barré syndrome, as the most promising biomarker to characterize acute Zika virus infection.</jats:sec
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