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Recent Zika outbreaks in South America, accompanied by unexpectedly severe clinical complications have brought much interest in fast and reliable screening methods for ZIKV (Zika virus) identification. Reverse-transcriptase polymerase chain reaction (RT-PCR) is currently the method of choice to detect ZIKV in biological samples. This approach, nonetheless, demands a considerable amount of time and resources such as kits and reagents that, in endemic areas, may result in a substantial financial burden over affected individuals and health services veering away from RT-PCR analysis. This study presents a powerful combination of high-resolution mass spectrometry and a machine-learning prediction model for data analysis to assess the existence of ZIKV infection across a series of patients that bear similar symptomatic conditions, but not necessarily are infected with the disease. By using mass spectrometric data that are inputted with the developed decision-making algorithm, we were able to provide a set of features that work as a “fingerprint” for this specific pathophysiological condition, even after the acute phase of infection. Since both mass spectrometry and machine learning approaches are well-established and have largely utilized tools within their respective fields, this combination of methods emerges as a distinct alternative for clinical applications, providing a diagnostic screening—faster and more accurate—with improved cost-effectiveness when compared to existing technologies.

An arbovirus belonging to the Flaviviridae family and the Flavivirus genus, the Zika virus (ZIKV), has profoundly transformed global health perception. Historically, ZIKV infections were considered infrequent, with generally mild manifestations. However, this perception changed dramatically when the virus quickly spread from Asia to the Americas, impacting many nations. It was alarming that there was a connection between ZIKV infection in pregnant women and the beginning of microcephaly in their offspring. ZIKV control and treatment are further complicated because Aedes mosquitoes, which primarily bite during the day, are the primary vectors of the virus. ZIKV diagnostic processes are complex since the virus shares symptoms with other illnesses like dengue and chikungunya. Despite the effectiveness of current diagnostic methods like real-time reverse transcription-polymerase chain reaction (RT-PCR) and enzyme-linked immunosorbent assay (ELISA), there is a clear need for more accurate antibody tests. This is especially true given that many people undergo testing while asymptomatic or after the ideal detection window. The capacity of ZIKV to infect human-derived neural progenitor cells raises worrying possibilities for severe neurological effects. With all these characteristics and their connection to birth abnormalities, research efforts into the virus's efficient treatment and prevention have increased. Overall, the emergence of ZIKV has demonstrated the necessity of a comprehensive and team-based strategy to address its myriad problems. This entails comprehending its transmission dynamics, enhancing diagnostic accuracy, and creating efficient therapies and preventive measures, all crucial to lessening the threat that ZIKV poses to the world's health., Competing Interests: The authors have declared that no competing interests exist., (Copyright © 2023, Bhandari et al.)

Background: Zika virus (ZIKV) infection is associated with severe complications. Recently, reports have raised the possibility of cardiovascular complications. However, the complications that are reported are in case reports and occur immediately after infection. Our aim is to evaluate the cardiovascular complications of ZIKV infection in a younger patient population., Methods: We conducted a prospective cohort and included patients with a one-year history of prior confirmed ZIKV infection. We performed an echocardiogram, a 24-hour automated blood pressure, and a 24-hour Holter. Our primary outcome included a composite of having diastolic dysfunction, left ventricular hypertrophy, arrhythmias, valvular regurgitation, premature beats, or non-dipper status., Results: We included 47 patients with ZIKV and 16 patients without ZIKV. Patients with ZIKV had a similar age as controls (p>0.05). Having had a prior ZIKV infection was associated with diastolic dysfunction, left ventricular hypertrophy, valvular regurgitation, arrhythmias or premature beats, and non-dipper status (p<0.05). The adjusted OR of having the primary outcome was 2.3; 95% CI 1.3-2.7. After one year, IL-10 and C-reactive protein (CRP) were higher in ZIKV-infected patients compared to controls (p<0.05)., Conclusions: Our study found that young patients with a prior ZIKV infection have more echocardiographic, arrhythmic, and blood pressure changes when compared to similar-aged controls., Competing Interests: The authors have declared that no competing interests exist., (Copyright © 2023, Vasquez et al.)

Zika virus (ZIKV) is a mosquito-borne Flavivirus discovered in Uganda in the 1940s. To date, three major ZIKV outbreaks have been reported. ZIKV infections have known to be primarily asymptomatic while causing mild illness in a few cases. However, the recent emergence and spread of ZIKV in the Americas has resulted in the declaration of "Public Health Emergency of International Concern" due to the potential association between the infection and prenatal microcephaly or other brain anomalies. In Brazil, a 20-fold increase in prenatal microcephaly cases and 19% increase in Guillain-Barré Syndrome (GBS) cases were reported in 2015, as compared to the preceding year. The probable deleterious effects of ZIKV infection prompt the urgent development of diagnostics and therapeutics. To this end, the existing evidences supporting the increasingly common prenatal microcephaly and GBS association and the current known ZIKV transmission dynamics, modes of detection (molecular and serology-based), and current control strategies are summarized in this review. This review also emphasizes the importance of understanding ZIKV transmission in order to design a sensitive yet cost and time-efficient detection technique. Development of an efficient detection technique would subsequently allow for better surveillance and control of ZIKV infection. Currently, limited literature is available on the pathogenesis of ZIKV, hence, focusing on the modes of ZIKV transmission could potentially contribute to the understanding of the disease spectrum and formulation of targeted treatment and control. [ABSTRACT FROM AUTHOR]