Puer University

Gliomas are the most prevalent and aggressive primary tumors of the central nervous system, with glioblastoma (GBM) exhibiting rapid progression, high recurrence, and poor prognosis. Therapeutic resistance, particularly to radiotherapy and chemotherapy, remains a major clinical challenge. RNA-binding proteins and RNA methyltransferases have emerged as regulators of tumor progression and immune modulation. ZCCHC4, a zinc finger CCHC domain-containing RNA methyltransferase, has been implicated in cancer, but its biological role and mechanisms in glioma remain largely unexplored. Gene expression profiles and clinical data from TCGA and CGGA databases were analyzed to assess ZCCHC4 expression and its correlation with clinicopathological features and patient prognosis. Immunohistochemistry, qRT-PCR, and western blotting were performed to evaluate ZCCHC4 expression in glioma tissues and cell lines. Functional assays, including CCK-8, colony formation, wound healing, and transwell migration assays, were conducted to investigate the effects of ZCCHC4 knockdown in vitro. In vivo xenograft models were used to assess tumor growth. RNA sequencing and pathway analyses (GO/KEGG/GSEA) were applied to explore transcriptomic changes, and ssGSEA was used to infer immune-associated signatures. ZCCHC4 expression was elevated in glioma tissues and cell lines and was associated with higher WHO grade, IDH wild-type status, and unfavorable survival. ZCCHC4 knockdown suppressed glioma cell proliferation and motility in vitro and reduced xenograft growth in vivo. Transcriptomic profiling indicated that ZCCHC4 depletion was accompanied by downregulation of DNA replication/cell-cycle–related programs and upregulation of ER-stress/unfolded protein response–related signatures. ssGSEA-based immune deconvolution suggested that higher ZCCHC4 expression was associated with increased inferred Th2-related and macrophage signatures and decreased inferred cytotoxic T-cell and NK-cell signatures. ZCCHC4 is upregulated in glioma and associated with adverse clinicopathological features and survival. ZCCHC4 depletion attenuated proliferative and motility-related phenotypes in vitro and reduced xenograft growth in vivo, while transcriptomic analyses suggested links to DNA replication/cell-cycle and ER-stress/UPR programs.

Previous research on the relationship between sleep and creativity has focused primarily on biological and cognitive mechanisms, with relatively insufficient attention given to positive psychology perspectives. A cross-sectional study was conducted with 926 Chinese college students (425 males and 501 females) to assess their sleep quality, positive emotions, psychological capital, and creativity. Sleep quality was measured using the Pittsburgh Sleep Quality Index (PSQI), positive emotions were assessed with the Positive and Negative Affect Schedule (PANAS), psychological capital was evaluated using the Positive Psychological Capital Scale (PCQ), and creativity was measured with the Williams Creative Aptitude Test (CAT). Structural equation modelling was employed to analyse the mediating effect of positive emotions between sleep quality and creativity, as well as the moderating effect of psychological capital. The results revealed that sleep quality was significantly and positively associated with college students’ levels of creativity (β = 0.130, p < 0.001). Sleep quality was significantly and positively related to college students’ creativity through positive emotions (β = 0.023, 95% CI [0.00, 0.04]). Psychological capital significantly moderated both the path from sleep quality to positive emotions (interaction β = 0.126, 95% CI [0.07, 0.18]) and the direct path from sleep quality to creativity (interaction β = 0.066, 95% CI [0.00, 0.13]). These findings extend the understanding of the mechanisms through which sleep quality influences creativity from a positive psychology perspective and provide practical intervention pathways for colleges to enhance students’ creativity.

This study evaluated the knowledge, attitudes, and practices (KAP) of resident and intern physicians regarding narrative medicine in Yunnan Province, China, in August 2024. A cross-sectional design was employed, utilizing a self-designed questionnaire to gather demographic information and assess knowledge and attitude. The practice was evaluated by Narrative Competence Scale. Out of 482 valid responses, 62.03% of participants were female, with 43.58% in their first year of residency and 46.06% having received narrative medicine training. The mean scores for knowledge, attitude, and practice were 49.32 ± 11.72 (possible range: 14–70), 21.99 ± 2.66 (possible range: 6–30), and 143.87 ± 23.52 (possible range: 27–189), respectively. Structural equation modeling revealed significant relationships: knowledge positively and directly impacted both attitudes (β = 0.550, P < 0.001) and practices (β = 0.341, P < 0.001), while attitudes directly influenced practices (β = 0.190, P < 0.001). Furthermore, knowledge affected practice indirectly through attitudes (β = 0.104, P < 0.001). The study concluded that resident and intern physicians exhibited moderate knowledge, moderate attitudes, and low engagement with narrative medicine. It suggested that incorporating narrative medicine into medical training could enhance KAP, thereby improving patient-centered care and communication in clinical settings.

Abstract Background Negative pressure wound therapy (NPWT) is widely used to promote wound healing, yet the mechanotransduction mechanisms underlying its efficacy remain unclear because of the absence of precise and controllable in vitro negative pressure loading devices for cellular-level studies. Methods We developed a high-precision negative pressure (NP) loading device compatible with six-well plates, facilitating independent and intelligent control over NP values, durations, and modes for each well. To validate the uniformity and stability of the NP environment, finite element analysis (FEA) was implemented. The mechanism was explored using proteomic profiling of NP-treated fibroblasts, complemented by molecular interrogation of Piezo1 expression and calcium signaling dynamics. The results of functional studies integrated genetic silencing and pharmacological modulation of the pathway, with in vivo confirmation through SD rat-based NPWT experiments. Results FEA confirmed a stable pressure distribution within the NP chamber. The cells experienced predominantly compressive stresses that scaled linearly with the applied pressure, reaching −2 kPa at −40 mmHg. We found that applying a continuous NP of −40 mmHg for 2 hours significantly activated dermal fibroblasts (DFs). TMT-based proteomic analysis revealed the upregulation of Piezo1 in NP-treated DFs, which was further confirmed by molecular and immunohistochemical analyses of both cellular and granulation tissue samples. Pharmacological inhibition or knockdown of Piezo1 attenuated NP-induced DF activation in vivo and in vitro. Mechanistically, we determined that Piezo1-mediated Ca2+ influx and the calcineurin/NFAT3 signaling pathway are critically enhanced during this process. Conclusion This study revealed that the Piezo1-Ca2+-NFAT3 mechanotransduction axis is the central pathway that mediates the therapeutic effects of NPWT. This work lays the foundational groundwork for elucidating the biomechanical mechanisms of negative pressure and reveals new approaches for research in tissue engineering and regenerative medicine.

ABSTRACT This study employs data from Chinese listed firms between 2011 and 2022 to examine the impact of financial misallocation on digital transformation. The empirical analysis adopts a two‐way fixed effects model, supplemented by instrumental variable techniques and multiple robustness checks to mitigate endogeneity concerns. The results show that financial misallocation traps firms in a “resource scarcity” dilemma, thereby reducing their willingness and capacity to pursue digital transformation. Specifically, financial misallocation curtails real investment and R&amp;D expenditures, which in turn hinder the digital transformation process. Moreover, the negative effect is more pronounced for non‐state‐owned firms, high‐tech firms, and smaller firms relative to their state‐owned, non‐high‐tech, and large‐scale counterparts. Further analysis reveals that heightened economic policy uncertainty compels firms to accelerate digital transformation as an adaptive response. Overall, the research provides empirical evidence for accurately assessing the economic consequences of financial misallocation and for formulating differentiated financial policies to support firms' digital transformation.

IntroductionAccurately assessing the natural recovery processes of forest ecosystems remains a key challenge in restoration ecology. The concept of dark diversity—the set of species absent from a site but belonging to its habitat-specific species pool—provides a novel lens for this assessment.MethodsIn this study, we developed and applied an integrated diagnostic framework that synthesizes dark diversity, functional traits, and diagnostic species. We applied this framework to a chronosequence of recovering forest ecosystems in subtropical China, representing early, middle, and late recovery stages.ResultsOur results demonstrated that the Community Completeness Index (CCI), derived from dark diversity, increased significantly during recovery, with its stabilization indicating the approach to a stable state. The framework identified stagespecific early-warning species: the absence of light-demanding, acquisitive transitional species in the mid-stage signaled successful progression, while the absence of shade-tolerant, conservative climax species in the late-stage signaled potential degradation. Crucially, analysis using Dark Diversity Affinity (DDA) revealed that the functional traits of species (e.g., seed mass, mycorrhizal type, leaf economics) were the primary filters determining species absence, exhibiting a stronger influence than local environmental conditions. These filters shifted predictably across stages, from dispersal and establishment limitations early on to competitive interactions later.DiscussionThe proposed framework translates dark diversity theory into an actionable tool for restoration. It moves beyond simple observation to diagnose recovery success, pinpoint specific bottlenecks, and inform targeted interventions such as assisted dispersal or canopy management. This provides a mechanism-based approach for guiding precision restoration in forest ecosystems.

Error in Figure [...].