Resveratrol reduces the apoptosis induced by cigarette smoke extract by upregulating MFN2

<div><p>Purpose</p><p>The aim of this study was to investigate the effect of resveratrol (RSV) on cigarette smoke extract (CSE)-induced cell apoptosis and mitochondrial dysfunction in vitro, as well as changes in the MFN2 expression level.</p><p>Methods</p><p>Cultured human bronchial epithelial (HBE) cells were initially treated with CSE to induce apoptosis, followed by incubation either with or without RSV. Numerous techniques were used to evaluate the outcomes of the present study, including a cell counting kit-8 assay, real-time quantitative polymerase chain reaction (real-time qPCR), western blotting, JC-1 fluorescence, Hoechst 33342 staining, Annexin V-PI flow cytometry apoptosis analyses, and siRNA technology.</p><p>Results</p><p>A 24 h incubation in 3.5% CSE induced apoptosis in HBE cells, and pretreatment of HBE cells with RSV (20 μM) significantly suppressed the CSE-induced apoptosis, prevented the CSE-induced decrease in MFN2 levels, suppressed BAX translocation to the mitochondria, and prevented mitochondrial membrane potential loss and cytochrome C release. However, following the transfection of MFN2 siRNA, the anti-apoptotic effects of RSV were significantly attenuated.</p><p>Conclusion</p><p>The results of the present study demonstrated that RSV may protect bronchial epithelial cells from CS-induced apoptosis in vitro by preventing mitochondrial dysfunction, and MFN2 may be associated with the anti-apoptotic functions of RSV in HBE cells.</p></div

Supplementary document for Deconvolution Stimulated Raman Scattering Microscopy Enhanced by Quantum Light - 6718930.pdf

Supplementary Documen

Bessel Beam Beating-Based Spontaneous Raman Tomography Enables High-Contrast Deep Tissue Raman Measurements

We report on the development of a novel Bessel beam beating-based spontaneous Raman tomography (B3-SRT) technique for depth-resolved deep tissue Raman characterization without the need for mechanical z-scanning. The tissue Raman signal is successfully modulated longitudinally for the first time by B3-SRT for depth information encoding and retrieval of the tissue Raman signal. To accomplish B3-SRT, we conceived a unique method by designing a coaxial Bessel beam dynamic beating excitation associated with the Bessel-shaped collection scheme, such that the depth-resolved Raman information is encoded by the Bessel beam dynamic beating generated, and then the depth-encoded Raman spectra along the Bessel beam excitation region are collected simultaneously by a Bessel-shaped collection optical design. Depth-resolved Raman spectra can be rapidly retrieved using inverse fast Fourier transformation. We demonstrated the ability of B3-SRT for high contrast deep tissue Raman measurements in a highly scattering two-layer tissue phantom (e.g., fat–bone tissue model). With the use of a nondiffracting Bessel beam in turbid tissue, the B3-SRT technique provides an approximately ∼3.7-fold improvement in deep tissue Raman detection compared to confocal Raman spectroscopy. Further, with the benefit of the effective suppression of the randomly scattered photon interference enabled by the Bessel beam dynamic beating excitation and the Bessel-shaped collection, B3-SRT gives ∼1.5-fold enhancement in deep tissue Raman spectral contrast in comparison with confocal Raman spectroscopy. We anticipate that the B3-SRT technique developed has the potential to facilitate high contrast depth-resolved deep tissue Raman measurements in biomedical systems

DataSheet_1_Extracellular proteins as potential biomarkers in Sepsis-related cerebral injury.pdf

BackgroundSepsis can cause brain damage known as septic encephalopathy (SAE), which is linked to higher mortality and poorer outcomes. Objective clinical markers for SAE diagnosis and prognosis are lacking. This study aimed to identify biomarkers of SAE by investigating genes and extracellular proteins involved in sepsis-induced brain injury.MethodsExtracellular protein differentially expressed genes (EP-DEGs) from sepsis patients’ brain tissue (GSE135838) were obtained from Gene Expression Omnibus (GEO) and evaluated by protein annotation database. The function and pathways of EP-DEGs were examined using GO and KEGG. Protein-protein interaction (PPI) networks were built and crucial EP-DEGs were screened using STRING, Cytoscape, MCODE, and Cytohubba. The diagnostic and prognostic accuracy of key EP-DEGs was assessed in 31 sepsis patients’ blood samples and a rat cecal ligation and puncture (CLP)-induced sepsis model. Cognitive and spatial memory impairment was evaluated 7-11 days post-CLP using behavioral tests. Blood and cerebrospinal fluid from 26 rats (SHAM n=14, CLP n=12) were collected 6 days after CLP to analyze key EP-DEGs.ResultsThirty-one EP-DEGs from DEGs were examined. Bone marrow leukocytes, neutrophil movement, leukocyte migration, and reactions to molecules with bacterial origin were all enhanced in EP-DEGs. In comparison to the sham-operated group, sepsis rats had higher levels of MMP8 and S100A8 proteins in their venous blood (both pConclusionThe extracellular proteins MMP8, CSF3, IL-6, and S100A8 may be crucial in the pathophysiology of SAE. S100A8 and MMP8 are possible biomarkers for SAE’s onset and progression. This research may help to clarify the pathogenesis of SAE and improve the diagnosis and prognosis of the disease.</p

Knowledge mapping of therapeutic cancer vaccine from 2013 to 2022: A bibliometric and visual analysis

The investigation of therapeutic cancer vaccines has been ongoing for the past century. Herein, we used VOSviewer and CiteSpace to perform the first global bibliometric analysis of the literature on therapeutic cancer vaccines from 2013 to 2022 aiming to explore the current status and potential research trends. The findings revealed a consistent upward trend in both publication counts and citations. The United States emerged as the leading contributor with the highest number of published papers. Additionally, the analysis of references and keywords indicated that therapeutic cancer vaccines have long been popular topics, whereas neoantigen vaccines, mRNA vaccines, combination strategies, and vaccine delivery systems are emerging research hotspots. This bibliometric study provides a comprehensive and important overview of the current knowledge and potential developments in therapeutic cancer vaccines from 2013 to 2022, which may serve as a valuable reference for scholars interested in further exploring this promising field.</p