The Zika virus (ZIKV) is a global health threat due to its rapid spread and severe health implications, including congenital abnormalities and neurological complications. Differentiating ZIKV from other arboviruses such as dengue virus (DENV) is crucial for effective diagnosis and treatment. This study presents the development of a biosensor for detecting the ZIKV non-structural protein 1 (NS1) using gold nanoparticles (AuNPs) functionalized with monoclonal antibodies employing dynamic light scattering (DLS). The biosensor named ZINS1-mAb-AuNP exhibited specific binding to the ZIKV NS1 protein, demonstrating high colloidal stability indicated by a hydrodynamic diameter (D) of 140 nm, detectable via DLS. In the absence of the protein, the high ionic strength medium caused particle aggregation. This detection method showed good sensitivity and specificity, with a limit of detection (LOD) of 0.96 μg mL, and avoided cross-reactivity with DENV2 NS1 and SARS-CoV-2 spike proteins. The ZINS1-mAb-AuNP biosensor represents a promising tool for the early and accurate detection of ZIKV, facilitating diagnostic and treatment capabilities for arboviral infections.
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http://dx.doi.org/10.1002/asia.202400826 | DOI Listing |
J Virol
December 2024
1Division of Gastroenterology, Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, Michigan, USA.
Flaviviruses utilize the cellular endoplasmic reticulum (ER) for all aspects of their lifecycle. Genome replication and other viral activities take place in structures called replication organelles (ROs), which are invaginations induced in the ER membrane. Among the required elements for RO formation is the biogenesis of viral nonstructural proteins NS4A and NS4B.
View Article and Find Full Text PDFVirol Sin
December 2024
Department of Medical Laboratory Science, University of Maiduguri, College of Medical Sciences, P.M.B. 1069, Maiduguri, Nigeria. Electronic address:
Am J Trop Med Hyg
December 2024
Department of Pathogenic Biology, Basic Medical College, Naval Medical University, Shanghai, China.
Rapidly identifying Anopheles-carrying malaria parasites is crucial for imported malaria prevention. However, suitable methods still lack quick detection in limited-resource situations. In this study, disc microfluidic isothermal amplification integrating loop-mediated isothermal amplification (LAMP) and microfluidic chip technology were applied to develop rapid and precise detection with low resource requirements.
View Article and Find Full Text PDFSci Rep
December 2024
Public Health and community medicine Department, Theodor Bilharz Research Institute, Helwan University, Cairo, Egypt.
Infectious diseases significantly impact both public health and economic stability, underscoring the critical need for precise outbreak predictions to effictively mitigate their impact. This study applies advanced machine learning techniques to forecast outbreaks of Dengue, Chikungunya, and Zika, utilizing a comprehensive dataset comprising climate and socioeconomic data. Spanning the years 2007 to 2017, the dataset includes 1716 instances characterized by 27 distinct features.
View Article and Find Full Text PDFNat Commun
December 2024
KU Leuven Department of Microbiology, Immunology and Transplantation, Virology, Antiviral Drug & Vaccine Research Group, Rega Institute for Medical Research, Leuven, Belgium.
The 2015-2016 Zika virus (ZIKV) outbreak in the Americas revealed the ability of ZIKV from the Asian lineage to cause birth defects, generically called congenital Zika syndrome (CZS). Notwithstanding the long circulation history of Asian ZIKV, no ZIKV-associated CZS cases were reported prior to the outbreaks in French Polynesia (2013) and Brazil (2015). Whether the sudden emergence of CZS resulted from an evolutionary event of Asian ZIKV has remained unclear.
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