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The bacterial microenvironment-activated nanocatalytic antibacterial strategy has attracted extensive attention owing to the high specificity to eliminate pathogens, which provides opportunities to solve antibiotic resistance. However, the relatively high pH value and insufficient endogenous H2O2 level in bacterial microenvironment limits the efficiency of Fenton reactions induced by these nanocatalytic agents, leading to unsatisfied antibacterial performance. Herein, bimetallic peroxide was first reported as a high-efficiency antibacterial nanocatalyst with high pH-activated, H2O2 self-supply and synergistic effect-enhanced cascade Fenton chemistry. An isolated spray vial was further developed to achieve in situ gelation at the wound site, adapt to irregular wound surface, and maintain long-term release of nanocatalyst. As a result, wound healing was efficiently promoted corresponding to excellent nanocatalytic antibacterial efficacy. Thus, our in situ sprayed nanocatalytic antibacterial gel provides a promising paradigm for high-efficiency bacterial infection therapy. [ABSTRACT FROM AUTHOR]

Six rare‐earth tantalate high‐entropy ceramics of (5RE.2)Ta3O9 (RE represents any five elements selected from La, Ce, Nd, Sm, Eu, Gd) were designed and prepared by spark plasma sintering process at 1400°C in this study. The (5RE.2)Ta3O9 ceramics only consist of a single‐phase solid solution with perovskite structure. Their relative densities are all above 90%, and the average grain size is in the range of 1.47–2.92 μm. The thermal conductivity of (5RE.2)Ta3O9 ceramics is in 2.24–1.90 W m−1 K−1 (25°C–500°C), which is much lower than that of yttria‐stabilized zirconia. In six samples, (La.2Nd.2Sm.2Gd.2Eu.2)Ta3O9 possesses a thermal conductivity of 1.90 W m−1 K−1, a thermal expansion coefficient of 3.47 × 10−6 K−1 (500°C), a Vickers hardness of about 7.33 GPa, and a fracture toughness of about 5.20 MPa m1/2, which are suitable for its application as thermal barrier coatings. [ABSTRACT FROM AUTHOR]

We aimed to investigate the role of microRNA-5100 (miRNA-5100) in oral squamous cell carcinoma (OSCC) and its underlying mechanisms. Material/Methods: The expression of miR-5100 and suppressor of cancer cell invasion (SCAI) in OSCC cell lines were examined. A luciferase reporter assay was applied to confirm the combination between miR-5100 and SCAI. Then, miR-5100 inhibitor or small hairpin RNA (shRNA)-SCAI were transfected into cells. Cell Counting Kit-8 assay was executed for testing cell proliferation ability. Flow cytometry assay was exploited for measuring cell cycle. Invasion and migration of OSCC cells were assessed using Transwell assay and wound healing assay. The expression of proteins were detected using western blotting. The results demonstrated that the level of miR-5100 was upregulated while SCAI was downregulated in OSCC cells. SCAI was verified as a direct target of miR-5100. MiR-5100 silencing suppressed proliferation of OSCC cells, increased cells in the G1 and G2 phases, and reduced those in the S phase, which was reversed after transfection with shRNA-SCAI. Moreover, miR-5100 inhibitor downregulated the expression of cyclin-dependent kinase-2 (CDK-2) and cyclinD1, accompanied by upregulation in p27 expression, whereas SCAI silencing had the opposite results. The invasion and migration abilities of OSCC cells were reduced after treatment with miR-5100 inhibitor, whereas SCAI silencing suppressed the effects of miR-5100 inhibitor on OSCC cell behaviors. These findings suggested that miR-5100 silencing inhibit proliferation, invasion and migration of OSCC cells via upregulating the expression of SCAI, which provides theoretical basis and treatment strategies for the treatment of OSCC. [ABSTRACT FROM AUTHOR]

Immune infiltrates have been increasingly recognized as robust prognostic factors for human cancer. Here, we developed and validated a seven‐immune‐feature‐based prognostic score (7IFBPS) for patients with oral squamous cell carcinoma (OSCC) after curative resection. Fourteen immune features regarding detailed locations and densities of seven types of tumor‐infiltrating immune cells (TIIs) were characterized in clinical samples from 269 eligible patients in three independent cohorts by immunohistochemistry coupled with digital quantitation. Optimal cutoff values for individual immune features were yielded using X‐tile software. The 7IFBPS was constructed by Kaplan–Meier and Cox regression model in training cohort and verified in testing, validation and combined cohorts. Concordance index (C‐index), receiver operating characteristics and calibration curves were employed to define the performance of 7IFBPS in prognostic prediction. High CD3 IM (invasive margin), CD3 CT (center of tumor), CD8 CT, CD45RO IM, CD45RO CT, FOXP3 IM and FOXP3 CT significantly associated with improved survival. The 7IFBPS score was calculated using the formula: 1.041 × CD3 IM + 1.24 × CD3 CT + 1.701 × CD8 CT + 1.127 × CD45RO IM + 1.348 × CD45RO CT + 1.089 × FOXP3 IM + 1.483 FOXP3 CT. High 7IFBPS significantly associated with improved survival in all cohorts and served as an independent prognostic predictor. The C‐index of 7IFBPS for predicting survival was 0.668 (95% CI, 0.609–0.726). Calibration curves for survival probability showed good agreement between prediction by 7IFBPS and actual observation. Collectively, our findings established the 7IFBPS as a novel powerful prognostic classifier for resectable OSCC. It holds potentials to be incorporated into current prognostic regime to better patient stratification. What's new? Current prognostic biomarkers for oral squamous cell carcinoma (OSCC) remain far from optimal. Comprehensive and simultaneous characterization of tumor‐infiltrating immune cells (TIIs) in solid tumors has been proposed as a novel and robust approach to predict clinical outcome. However, comprehensive immune profiling and its clinical significance in OSCC have been incompletely explored thus far. Here, a 7‐immune‐feature‐based prognostic score (7IFBPS) for patients with OSCC after curative resection was developed and validated as a novel powerful prognostic classifier. The integrative immune classifier holds great potential to be incorporated into current prognostic approaches to improve patient stratification, treatment‐decision making, and follow‐up scheduling. [ABSTRACT FROM AUTHOR]

Introduction: Osteoporosis diagnosis often utilizes quantitative computed tomography (QCT). This study explored the validity of applying lumbar bone mineral density (LBMD) standards to thoracic vertebrae (T8-T10) for osteoporosis detection during CT lung cancer screenings. This study investigated the utility of thoracic BMD (BMD-T8-T10) for detecting osteoporosis in older persons during CT lung cancer screening., Methods: We studied 701 participants who underwent QCT scans for both LBMD and BMD-T8-T10. Osteoporosis was diagnosed using ACR criteria based on LBMD. We determined BMD-T8-T10 thresholds via a receiver operating characteristic (ROC) curve and translated BMD-T8+T9+T10 to LBMD (TTBMD) using linear regression. Kappa test was used to evaluate the accuracy of BMD-T8-T10 thresholds and TTBMD in diagnosing osteoporosis., Results: Raw BMD-T8-T10 poorly identified osteoporosis (kappa = 0.51). ROC curve analysis identified BMD-T8-T10 thresholds for osteopenia (138 mg/cm3) and osteoporosis (97 mg/cm3) with areas under the curve of 0.97 and 0.99, respectively. We normalized BMD-T8-T10 to TTBMD based on the formula: TTBMD = 0.9 × BMD-T8-T10 - 2.56. These thresholds (kappa = 0.74) and TTBMD performed well in detecting osteoporosis/osteopenia (kappa = 0.74)., Conclusion: Both calculating BMD-T8-T10 threshold (138.0 mg/cm 3 for osteopenia and 97 mg/cm 3 for osteoporosis) and normalizing BMD-T8-T10 to LBMD demonstrated good performance in identifying osteoporosis in older adults during CT lung cancer screening., Competing Interests: The authors report no conflicts of interest in this work., (© 2024 Li et al.)

Alternative splicing of pre-mRNAs expands the coding abilities of genomes by generating distinct transcription variants from individual genes. It contributes to the marvelous complexity of the transcriptome in neurons. Given the differential expression of alternative splicing regulators and diversity in alternative splicing programs in neuronal subpopulations, it is urgent and necessary to develop methods to efficiently isolate diverse subgroups of neurons and analyze their transcriptomic diversity. Here, we describe a protocol to isolate RNA from specific neuronal types using a fluorescence-activated cell sorting (FACS)-based method to analyze alternative splicing events in a cell type-specific manner. The method is universally applicable to analyze alternative splicing in fluorescent protein-labeled neuronal types. It was optimized to preserve the transcription state and improve efficiency in cell suspension purification. With our protocol, fluorescent protein-labeled neurons could be efficiently purified. The transcription states suitable for gene expression and alternative splicing analysis could be well-preserved., (© 2022. The Author(s), under exclusive license to Springer Science+Business Media, LLC, part of Springer Nature.)