Tissue injury, one of the most common traumatic injuries in daily life, easily leads to secondary wound infections. To promote wound healing and reduce scarring, various kinds of wound dressings, such as gauze, bandages, sponges, patches, and microspheres, have been developed for wound healing. Among them, microsphere-based tissue dressings have attracted increasing attention due to the advantage of easy to fabricate, excellent physicochemical performance and superior drug release ability. In this review, we first introduced the common methods for microspheres preparation, such as emulsification-solvent method, electrospray method, microfluidic technology as well as phase separation methods. Next, we summarized the common biomaterials for the fabrication of the microspheres including natural polymers and synthetic polymers. Then, we presented the application of the various microspheres from different processing methods in wound healing and other applications. Finally, we analyzed the limitations and discussed the future development direction of microspheres in the future.

Viruses are routinely isolated from infected cells through freeze–thaw (F–T) cycles or sonication. The aim of this study was to compare different methods for efficient isolation of Newcastle disease virus (NDV) particles from BSR-T7/5 (BSR) cells. The BSR cells were infected with NDV LaSota strain, and the virus particles were isolated via F–T, sonication, sonication followed by F–T, and F–T followed by sonication. The infection and proliferation kinetics of the virus were analyzed by cytopathic observation and monitoring of hemagglutination (HA) titers. The virus isolated by sequential F–T and sonication was amplified through five passages of BSR cells, and then used to infect the HepG2 cells. The viability and apoptosis rates of the infected cells were evaluated by Cell Counting Kit-8 assay and Annexin V-FITC/PI staining respectively. We successfully obtained NDV particles from persistently infected BSR cells through all four methods, which indicated that the LaSota can effectively replicate in BSR cells. However, F–T followed by sonication was optimum in terms of separation effect. The virus particles isolated by this method still exhibited cytolytic activity against HepG2 cells. Thus, our novel method can be applied to NDV production and generation of tumor vaccines.

Patients with acute ischemic stroke (AIS) who experience early neurological deterioration (END) often face significant neurological disability. Given the l

Background: Metabolic adaptation is a recognized feature of therapeutic resistance in hepatocellular carcinoma (HCC), but it is unclear whether transcriptional states exposed during acquired resistance are restricted to drug adaptation or reflect broader aggressive tumor biology. We tested whether metabolic programs derived from a lenvatinib-resistance model identify a clinically adverse transcriptional state in an independent HCC patient cohort. Methods: The discovery framework was based on GSE186191, comprising parental and acquired lenvatinib-resistant Hep3B and Huh7 cells. A pre-specified 33-gene lipid-source ledger served as a biological anchor, and three discovery-derived programs—MYC Targets V2, mTORC1 Signaling, and Fatty Acid Metabolism—were frozen before patient-level evaluation. In TCGA-LIHC, single-sample enrichment scores for the three programs were population-standardized and summed to generate an integrated metabolic score. Overall survival was assessed by Kaplan–Meier and Cox analyses. Whole-transcriptome differences between high– and low-score tumors were characterized by preranked gene set enrichment analysis (GSEA). Results: The survival cohort comprised 282 patients (118 deaths), with 141 patients in each median-defined score group. High-score patients had shorter overall survival (log-rank P=0.000419). The continuous score was associated with mortality in univariable analysis (HR 1.86, 95% CI 1.33–2.61; P=0.000293) and in the frozen model adjusted for age, sex, and stage indicators (HR 1.93, 95% CI 1.35–2.76; P=0.000350; n=277). In 327 primary tumors, Fatty Acid Metabolism was strongly depleted in high-score tumors (NES –2.06; FDR<0.001). MYC Targets V2 (NES 1.18; FDR=0.232) and mTORC1 Signaling (NES 1.11; FDR=0.229) showed positive directional enrichment without FDR significance. Conclusions: A lenvatinib-resistance-derived transcriptional program is associated with an adverse-survival state in HCC. The strongest patient-level pathway feature is depletion of canonical fatty-acid metabolism, accompanied by directional MYC/mTORC1 features rather than statistically established pathway activation. These findings support a testable model of metabolic identity remodeling but do not establish causality or clinical prediction of lenvatinib response.