A systemic evaluation of COVID-19 vaccination drives in LICs, LMICs, UMICs, and HICs: Preparedness for future pandemics.

Introduction: The COVID-19 pandemic has significantly impacted global healthcare systems. Vaccination is an effective strategy to battle the disease. Policies and distribution frameworks have varied widely across countries.

Therapeutic Role of Scutellarein in Neurological Disorders.

Scutellarein, a flavone found in the perennial herb Scutellaria baicalensis, has a wide range of pharmacological actions, such as antioxidant, anti-inflammatory, and neuroprotective. Increasing evidence has emphasized the developing significance of scutellarein in several neurological illnesses, such as Alzheimer's and Parkinson's disease, cerebral ischemia, and neuroblastoma. This review is centered on the molecular processes that underlie the neuroprotective properties of scutellarein in various neurological disorders, as indicated by recent pre-clinical research.

Differential Transcriptional Landscape of Vero Cells During Dengue Virus 2 Infection in the Presence of Sinococuline.

Dengue virus (DENV) is transmitted by genus mosquitoes and is responsible for dengue fever (DF) and other severe diseases, posing a significant challenge to the global health system. Currently, anti-dengue pharmacological treatment options are not available. Earlier, we demonstrated that Sinococuline has potent anti-dengue activity and prevents virus infection.

Phase Characterization and Bioactivity Evaluation of Nucleic Acid-Encapsulated Biomimetically Mineralized ZIF-8.

Metal-organic frameworks (MOFs) provide diverse applications across a wide range of scientific disciplines, including drug/nucleic acid (NA) delivery. In the subclass of MOFs, zeolitic imidazolate framework-8 (ZIF-8) is well regarded due to its exceptional physicochemical properties. Biomolecules can be encapsulated and released under precise conditions within ZIF, making it an important material for materials science and biomedical applications.

Quantification of L-lactic acid in human plasma samples using Ni-based electrodes and machine learning approach.

This work presents a robust strategy for quantifying overlapping electrochemical signatures originating from complex mixtures and real human plasma samples using nickel-based electrochemical sensors and machine learning (ML). This strategy enables the detection of a panel of analytes without being limited by the selectivity of the transducer material and leaving accommodation of interference analysis to ML models. Here, we fabricated a non-enzymatic electrochemical sensor for L-lactic acid detection in complex mixtures and human plasma samples using nickel oxide (NiO) nanoparticle-modified glassy carbon electrodes (GCE).