Chikungunya virus (CHIKV) is a single-stranded positive RNA virus that belongs to the genus and is transmitted to humans by infected and bites. In humans, CHIKV usually causes painful symptoms during acute and chronic stages of infection. Conversely, virus-vector interaction does not disturb the mosquito's fitness, allowing a persistent infection. Herein, we studied CHIKV infection of Aag-2 cells (multiplicity of infection (MOI) of 0.1) for 48 h through label-free quantitative proteomic analysis and transmission electron microscopy (TEM). TEM images showed a high load of intracellular viral cargo at 48 h postinfection (hpi), as well as an unusual elongated mitochondria morphology that might indicate a mitochondrial imbalance. Proteome analysis revealed 196 regulated protein groups upon infection, which are related to protein synthesis, energy metabolism, signaling pathways, and apoptosis. These Aag-2 proteins regulated during CHIKV infection might have roles in antiviral and/or proviral mechanisms and the balance between viral propagation and the survival of host cells, possibly leading to the persistent infection.
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http://dx.doi.org/10.3389/fcimb.2022.920425 | DOI Listing |
Eur J Med Chem
December 2024
Department of Natural Products and Medicinal Chemistry, CSIR-IICT Hyderabad, India; Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, 201002, India. Electronic address:
Investigations into fruit and vegetable processing residues (FVPRs) offer huge opportunities to discover novel therapeutics against many diseases. In this study, detailed investigation of Garcinia mangostana fruit peel extract led to the isolation and identification of ten known compounds (1-10). Further, a new series of α-mangostin derived sulphonyl piperzines, aryl alkynes and 1,2,3-triazole derivatives were synthesized using Huisgen 1,3-dipolar cyclo-addition reaction ("click" chemistry).
View Article and Find Full Text PDFMult Scler
January 2025
Department of Internal Medicine, Max Rady College of Medicine, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB, Canada.
Background: Many common symptoms in post-acute sequelae following severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection (PASC) overlap with those of multiple sclerosis (MS). We examined symptoms and performance of the PASC score, developed in the general population, in MS based on infection history.
Methods: We surveyed North American Research Committee on Multiple Sclerosis (NARCOMS) registry participants regarding infections and categorized participants based on infection history.
J Virol
December 2024
Key Laboratory of Virology and Biosafety, Wuhan Institute of Virology, Chinese Academy of Sciences, Wuhan, Hubei, China.
Chikungunya virus (CHIKV), an enveloped positive-sense RNA virus, is a member of the alphaviruses and cause fever and arthralgia in humans. We performed genome-wide CRISPR/Cas9-based screens and identified Y-box binding protein 1 (YBX1) as an essential cellular factor for CHIKV. Deficiency of YBX1 inhibited CHIKV RNA replication and impaired virus production.
View Article and Find Full Text PDFACS Infect Dis
January 2025
Kusuma School of Biological Sciences, Indian Institute of Technology Delhi, Hauz Khas, New Delhi 110016, India.
Alphaviruses, a genus of vector-borne viruses in the family, encode a small ion-channel-forming protein, 6K, and its transframe variant (TF) during infections. Although 6K/TF have vital roles in glycoprotein transport, virus assembly, and budding, there is no mechanistic explanation for these functions. We investigated the distinct biochemical functionalities of 6K and TF from the mosquito-borne alphavirus, Chikungunya Virus.
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.
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