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Visualizing DNA polymerase ι catalyze Hoogsteen-directed DNA synthesis
Systematic review of post-COVID condition in Nordic population-based registry studies
Abstract The long-term effects of COVID-19, known as post-COVID condition (PCC), are still not fully understood. This systematic review synthesizes findings from Nordic registry studies to highlight long-term outcomes after COVID-19 infection. Twenty-two studies, primarily reflecting the pre-omicron and early vaccination phases, reveal increased primary care use for respiratory issues and fatigue in the sub-acute and chronic phases, with PCC incidence estimated below 2% in the general population. Most individuals returned to work within three months post-infection, and the risk of new neurological or mental disorders did not exceed that in patients with other infections. The review demonstrates the value of high-quality Nordic health registries in capturing reliable, population-wide data, though generalizability may be limited to similar healthcare systems. Findings suggest the need for targeted follow-up in patients with severe COVID-19, particularly those requiring intensive care, to manage potential new-onset diseases and guide resource allocation in the pandemic’s endemic phase.
Light-driven phenotypic plasticity in the depth-generalist coral, Pavona varians
Climate change is causing shifts in the spatial distribution of species and a reshuffling of the composition of multiple community types. On coral reefs, deep water can act as both refuges and refugia for corals from the combined negative effects of heat and light stress. Phenotypically plastic generalists that can tolerate both low and high light environments could be disproportionately important on future reefs, persisting in refugia and colonizing vacant shallow reefs. We performed a common garden experiment to investigate the effect of light on three different wild-collected genotypes of the abundant, depth-generalist coral Pavona varians. We measured the growth response and reaction norms of six other morphological and functional traits in full sunlight, 75%, and 90% shade. We also modeled the combined effects of light and temperature on growth. P. varians had positive growth in all three treatments, but increased both skeletal mass and 2-D colony footprint most in 90% shade, with a higher density of corallites, and a less rugose skeleton that may enhance light capture. Areas of the colony corresponding to new growth had greater fluorescence of Symbiodiniaceae communities in the darkest treatment. Light did not alter the functional lipid ratio, nor did communities of Symbiodiniaceae vary with light treatments. The model revealed additively negative, but not synergistic, effects of light and temperature on growth. This additively negative relationship in the model is consistent with the hypothesis that reductions in bleaching at depth could be the product of reduced light stress at depth rather than reduced temperature stress. Light-associated plasticity likely allows P.varians to live in a wide variety of habitats and across a broad depth gradient. In reduced light conditions, this species may mitigate some of the negative effects of bleaching temperatures on growth. We predict that P. varians is likely one of a minority of species that may benefit from deep reef refugia.
Efficacy and safety of a novel multivalent mRNA vaccine against SARS-CoV-2 in experimental animals
Potential role of TNFRSF12A in linking glioblastoma and alzheimer’s disease via shared tumour suppressor pathways
Abstract Tumor suppressor genes (TSGs) are critical regulators of cellular homeostasis and are extensively studied in cancer biology. However, their roles in neurodegenerative diseases, particularly Alzheimer’s disease (AD), remain poorly understood. Recent evidence of an inverse association between cancer and AD suggests the existence of shared molecular mechanisms. We conducted an integrative analysis to identify TSGs with potential involvement in both AD and glioblastoma (GBM), using Mendelian randomization, transcriptomic profiling (bulk and single-cell RNA-seq), cell–cell communication inference, and in vitro validation. Among 1,217 TSGs screened, TNFRSF12A was consistently dysregulated in both GBM and AD datasets. Further analysis revealed its association with immune-related pathways and transcriptional programs relevant to both diseases. Knockdown of TNFRSF12A in glioma cells altered the expression of genes associated with amyloid precursor protein (APP) processing and Wnt signaling pathways. This study identifies TNFRSF12A as a cross-disease candidate gene in GBM and AD, based on transcriptomic convergence and partial functional validation. Our findings suggest that TSGs may contribute to shared molecular programs in neurodegeneration and cancer, and warrant further mechanistic investigation.
Profiles of growth mindset and grit among rural Chinese students and their associations with math anxiety, motivation, and self-efficacy
Assessment of the effect of pomegranate seed extracts on prostate cancer through cellular and animal models
Codon-deoptimized single-round infectious virus for therapeutic and vaccine applications
Robot assisted sentinel lymph node biopsy using indocyanine green combined with carbon nanoparticles staining improved detection rates in breast cancer
Development and usability evaluation of a mHealth application for prehospital triage
Halotolerant bacteria isolated from the soils of Indian mangrove ecosystem for metal removal and NPK enhancement
Exploitable mechanisms of antibody and CAR mediated macrophage cytotoxicity
Abstract Macrophages infiltrate solid tumors and either support survival or induce cancer cell death through phagocytosis or cytotoxicity. To uncover regulators of macrophage cytotoxicity towards cancer cells, we perform two co-culture CRISPR screens using CAR-macrophages targeting different tumor associated antigens. Both identify ATG9A as an important regulator of this cytotoxic activity. In vitro and in vivo, ATG9A depletion in cancer cells sensitizes them to macrophage-mediated killing. Proteomic and lipidomic analyses reveal that ATG9A deficiency impairs the cancer cell response to macrophage-induced plasma membrane damage through defective lysosomal exocytosis, reduced ceramide production, and disrupted caveolar endocytosis. Depleting non-cytotoxic macrophages using CSF1R inhibition while preventing ATG9A-mediated tumor membrane repair enhances the anti-tumor activity of therapeutic antibodies in mice. Thus, macrophage cytotoxicity plays an important role in tumor elimination during antibody or CAR-macrophage treatment, and inhibiting tumor membrane repair via ATG9A, particularly in combination with cytotoxic macrophage enrichment through CSF1R inhibition, improves tumor-targeting macrophage efficacy.
Measuring error rates of mid-circuit measurements
Bulk Measurement of Membrane Permeability for Random Cyclic Peptides in Living Cells to Guide Drug Development
Abstract Cyclic peptides are attractive for drug discovery due to their excellent binding properties and the potential to cross cell membranes. However, by far, not all cyclic peptides are cell permeable, and measuring or predicting their membrane permeability is not trivial. In this work, we assessed the membrane permeability of thioether‐cyclized peptides, a widely used format in drug discovery. We developed a strategy for synthesizing hundreds of cyclic peptides carrying a short chloroalkane tag for the bulk quantification of membrane permeability in live cells using the chloroalkane penetration assay. Permeability data for random cyclic peptides established design rules, indicating the probability of peptides entering cells is strongly increasing if the molecular weight is below 800 Da, the polar surface is smaller than 250 Å 2 , or if there are less than six hydrogen bond donors. From this, machine learning could predict the membrane permeability of random peptides with good confidence, facilitating the future development of membrane‐permeable cyclic peptide drugs.
Computer-assisted rehabilitation system in the use of motor function recovery: A protocol for scoping review
Backgrounds Motor dysfunction, a prevalent sequela of neurological disorders such as stroke, Parkinson’s disease, and cerebral palsy, profoundly compromises patients’ capacity to perform daily activities and participate in social interactions. To address this challenge, computer-assisted rehabilitation systems (CARS) have emerged as innovative tools for facilitating motor function recovery. However, the rapid proliferation of diverse CARS modalities—encompassing novel technical approaches, interdisciplinary integrations, and heterogeneous clinical applications—has resulted in a fragmented and poorly delineated research landscape. This scoping review protocol aims to systematically map the current evidence, clarify conceptual boundaries, identify key research themes, and highlight critical knowledge gaps within the CARS field. Methods Following PRISMA-ScR guidelines, a comprehensive search across English (PubMed, Embase, Web of Science) and Chinese (CNKI, Wanfang, VIP, SinoMed) databases (inception to May 2025) will retrieve peer-reviewed studies using controlled vocabulary (MeSH: Rehabilitation/methods) and keywords (“computer-assisted rehabilitation system*”). After deduplication (EndNote X9) and manual verification, two reviewers will independently screen titles/abstracts and full texts, resolving discrepancies via third-party arbitration. Data extraction will categorize studies into study characteristics (design, population), technical specifications (sensors, AI), and clinical contexts (outcome measures, motor domains). Quantitative synthesis will map publication trends, geographic distributions, and methodological profiles using PRISMA diagrams and heatmaps. Thematic analysis will identify dominant research clusters (e.g., robotics, VR) and interdisciplinary linkages. Results will be disseminated via interactive evidence maps and narrative summaries emphasizing clinical translation. Any protocol deviations will be explicitly documented to ensure methodological transparency. Discussion This review will synthesize the heterogeneous CARS field into a structured framework, guiding future research prioritization and clinical implementation. By delineating technical innovations, clinical efficacy, and knowledge gaps, findings aim to optimize rehabilitation strategies for neurological populations. Detail of this review project can be found in Open Science Framework: https://doi.org/10.17605/OSF.IO/HXDT8.