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While certain members of ubiquitin-coupled enzymes (E2s) have garnered attention as potential therapeutic targets across diverse diseases, research progress on Ubiquitin-Conjugating Enzyme 5 (UBC5)-a pivotal member of the E2s family involved in crucial cellular processes such as apoptosis, DNA repair, and signal transduction-has been relatively sluggish. Previous findings suggest that UBC5 plays a vital role in the ubiquitination of various target proteins implicated in diseases and homeostasis, particularly in various cancer types. This review comprehensively introduces the structure and biological functions of UBC5, with a specific focus on its contributions to the onset and advancement of diverse diseases. It suggests that targeting UBC5 holds promise as a therapeutic approach for disease therapy. Recent discoveries highlighting the high homology between UBC5, UBC1, and UBC4 have provided insight into the mechanism of UBC5 in protein degradation and the regulation of cellular functions. As our comprehension of the structural distinctions among UBC5 and its homologues, namely UBC1 and UBC4, advances, our understanding of UBC5's functional significance also expands.

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Stroke, a leading cause of death and disability, often results from ischemic events that cut off the brain blood flow, leading to neuron death. Despite treatment advancements, survivors frequently endure lasting impairments. A key focus is the ischemic penumbra, the area around the stroke that could potentially recover with prompt oxygenation; yet its monitoring is complex. Recent progress in bioluminescence-based oxygen sensing, particularly through the Green enhanced Nano-lantern (GeNL), offers unprecedented views of oxygen fluctuations in vivo. Utilized in awake mice, GeNL has uncovered hypoxic pockets within the cerebral cortex, revealing the brain's oxygen environment as a dynamic landscape influenced by physiological states and behaviors like locomotion and wakefulness. These findings illuminate the complexity of oxygen dynamics and suggest the potential impact of hypoxic pockets on ischemic injury and recovery, challenging existing paradigms and highlighting the importance of microenvironmental oxygen control in stroke resilience. This review examines the implications of these novel findings for stroke research, emphasizing the criticality of understanding pre-existing oxygen dynamics for addressing brain ischemia. The presence of hypoxic pockets in non-stroke conditions indicates a more intricate hypoxic scenario in ischemic brains, suggesting strategies to alleviate hypoxia could lead to more effective treatments and rehabilitation. By bridging gaps in our knowledge, especially concerning microenvironmental changes post-stroke, and leveraging new technologies like GeNL, we can pave the way for therapeutic innovations that significantly enhance outcomes for stroke survivors, promising a future where an understanding of cerebral oxygenation dynamics profoundly informs stroke therapy.

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Background: The available data exhibit inconsistent findings regarding the association between obesity and sleep problems among older adults. The objective of this study was to assess the potential association between obesity and sleep disorders in the older population. Methods: The data utilised in this cross-sectional investigation was obtained from the National Health and Nutritional Examination Survey (NHANES) conducted between 2005 and 2018. The study employed a multivariate logistic regression model and conducted subgroup analysis to evaluate the association between obesity and sleep disturbance. Results: The investigation consisted of 2,570 older people who provided complete information, out of which 324 individuals satisfied the criteria for sleep disturbance. The findings from the multivariable adjusted logistic regression model indicate that individuals in the overweight and normal weight groups exhibited decreased odds of experiencing sleep disorder, as evidenced by the adjusted odds ratios (AOR) of 0.46 (95% confidence interval [CI] = 0.34-0.61) and 0.33 (95% CI = 0.22-0.47), respectively. These results were statistically significant (p < 0.001) when compared to individuals in the obese group. The investigation of age and gender subgroups demonstrated similar associations between various BMI categories and sleep disorders in the older population. Conclusion: In summary, there exists a correlation between obesity and sleep disorders in the senior population. A significant association was observed between BMI and the likelihood of experiencing sleep disorders, indicating a dose-response relationship. Individuals with a higher BMI demonstrated a heightened likelihood of experiencing sleep disorders compared to those with a lower BMI.

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BACKGROUND: Enhancing psychosocial functioning is crucial for reducing relapse in depression, but methods for monitoring and recovery are unclear. METHOD: A 1-year follow-up study assessed psychosocial functioning in 182 patients with remitted depression at baseline (T0) as well as at 1, 2, 6, 9, and 12 months post-remission (T1-T5). Using generalized estimating equations (GEE) and multiple linear regression (MLR), we analyzed the impact of changes in psychosocial functioning on relapse/recurrence risk, and assessed the influence of various factors. RESULTS: An increase in psychosocial functioning significantly lowered relapse/recurrence odds by 54.2 %, averaging a risk reduction of 3.1 %. GEE analyses indicated subjective depressive symptoms (ß = -0.315) most significantly impacted psychosocial functioning, followed by social support (ß = 0.236), positive coping (ß = 0.225), and negative automatic thoughts (ß = -0.183). Negative coping and expressed emotion exhibited non-significant effects. MLR revealed that the impact of negative automatic thoughts was most significant at initial remission, but the relative importance of residual subjective depressive symptoms, positive coping, and social support on psychosocial functioning remained stable over time. LIMITATIONS: Predetermined follow-up assessments may not fully capture psychosocial functioning at relapse/recurrence, and the inclusion of factors might not be sufficiently comprehensive. CONCLUSIONS: Recovery of psychosocial functioning significantly reduces relapse risk in post-remission patients with depression more than residual subjective depressive symptoms. The degree of influence of factors on psychosocial functioning can change with the length of remission time.

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Intracellular cargo delivery is crucial for drug evaluation, nanomedicine development, and gene therapy, in which high efficiency while maintaining cell viability is needed for downstream analysis. Here, an acoustic-mediated precise drug delivering mechanism is proposed by directly modulating cell micro-oscillation mode and membrane permeability. Through phase shifting keying-based spatiotemporal acoustic tweezers, controllable oscillating cell arrays can be achieved in shaking potentials. At the same time, continually oscillating radiation force and fluid shear stress exerted on cells effectively disturbs cellular membrane mobility and enhances permeability, thereby facilitating nanodrug entrance. In experiments, cell oscillation is tunable in frequency (10-2 to 102 Hz), shaking direction, amplitude (0 to quarter acoustic wavelength), and speed. Doxorubicin is actively delivered across cellular membranes and accumulates in inner cells, with a concentration more than 8 times that of the control group. Moreover, there is no obvious compromise in cell activity during oscillation, exhibiting excellent biocompatibility. This "dancing acoustic waves" scheme introduces a new dimension of cell manipulation in both space and time domains and an effective drug delivering strategy, offering advantages of flexibility, gentleness, and high throughput. It may advance related fields like nanobiological research, drug and nanomedicine development, and medical treatment.

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Ultrasonic treatment and optimal cultivation techniques are both conducive to the high yield of super rice in South China. Many previous studies have shown that the increase in intercepted photosynthetically active radiation (IPAR) and radiation use efficiency (RUE) is an important reason for high rice yield. Field experiments were conducted over two years to evaluate the effects of IPAR and RUE on the yield under different treatments (CK: conventional cultivation technique without ultrasonic treatment; T1: conventional cultivation technique with ultrasonic treatment; T2: super rice-specific cultivation technique without ultrasonic treatment and T3: super rice-specific cultivation technique with ultrasonic treatment), with two representative rice varieties, Wufengyou-615 (WFY) and Jingnongsimiao (JNSM) during the late seasons of rice cultivation in South China. The super rice-specific cultivation technique and the ultrasonic treatment could significantly increase the yield, which was significantly (p < 0.01) and positively correlated with panicle number, grain-filling rate, and aboveground total dry weight. The higher grain yield depended more highly on higher RUE in the mid-tillering stage and maturity stage. The results of multiple-regression models also showed that the contributions of IPAR and RUE to yield were significant (p < 0.01). Conclusively, IPAR and RUE contributed a lot to yield progress of super rice in both super rice-specific cultivation techniques with fewer times of topdressing and ultrasonic treatment in South China. It is worth further studying how to reasonably improve the RUE of high-RUE varieties through other means.

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BACKGROUND: The high sensitivity of HBsAg quantitative tests has led to some challenges in the qualitative interpretation of weakly positive specimens. This study aimed to explore the clinical utility of neutralization confirma-tory testing for specimens with low positive hepatitis B surface antigen (HBsAg). METHODS: A retrospective analysis was conducted on outpatient and inpatient cases, from January 2021 to January 2022, at the Zhongshan City People's Hospital, Zhongshan. Confirmatory testing as well as enzyme-linked immunosorbent assay (ELISA) was applied to reanalyze 382 samples with low positive HBsAg detected by chemilumi-nescence microparticle immunoassay (CMIA). A retrospective analysis of hepatitis B serum markers, including e-antigen, e-antibody, and core antibody patterns, was also performed. RESULTS: When the HBsAg value ranged from 0.05 - 0.09 IU/mL, the positivity rate of the confirmatory testing was 34.5%. The HBsAg true positivity levels were all between 0.07 and 0.09. In the range of 0.10 - 0.49, the positivity rate of confirmatory testing was 96.1%. The three methods exhibited a high consistency, when testing samples with relatively high HBsAg values. A receiver operating characteristic (ROC) analysis showed that the optimal sensitivity and specificity were achieved at 0.14 IU/mL. For the HBV e-antigen-positive and negative groups, the positivity rate of confirmatory testing was 100% and 93.8%, with no statistical difference between them. CONCLUSIONS: For specimens with weakly positive, low-value HBsAg, particularly when the hepatitis B surface an-tigen level is less than 0.14 IU/mL, neutralization confirmatory testing can serve as a means for further confirmation.

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OBJECTIVE: To explore the genetic basis for a child with developmental delay and intellectual deficit (DD/ID). METHODS: A child who was admitted to the Maternal and Child Health Care Hospital of Longhua District of Shenzhen City on June 3, 2023 due to DD/ID, craniofacial malformations, and recurrent infections of upper respiratory tract was selected as the study subject. G-banded chromosomal karyotyping was carried out for the child and her parents. Low-depth genome-wide copy number variation sequencing (CNV-seq) and chromosomal microarray analysis (CMA) were used to screen for genome-wide copy number variations (CNV), and fluorescence in situ hybridization (FISH) was used to verify the origin of candidate CNV. RESULTS: The child, an 8-year-old girl, had featured unexplained growth and intellectual development delay, multiple craniofacial malformations, and recurrent infections of the upper respiratory tract. She was found to have a karyotype of 46,XX,der(6)add(6)(q23), while both of her parents were normal. Both CNV-seq and CMA showed that the child has harbored a 21.38 Mb interstitial duplication at 6p25.3p22.3 and a 0.78 Mb terminal deletion at 6p25. FISH verified that both the duplication and deletion had occurred de novo. CONCLUSION: The abnormal phenotype of the child may be attributed to the 6p duplication and terminal deletion.

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Purpose: Iliac vein stenting is the primary treatment for patients with iliac vein compression syndrome (IVCS). However, post-stent placement, patients often experience in-stent restenosis and thrombosis. Despite this, the role of lower limb movements in the functioning of stents and veins in IVCS patients remains unclear. This study aimed to address this knowledge gap by developing a computational model using medical imaging techniques to simulate IVCS after stent placement. Methods: This research used a patient-specific model to analyze the effects of lower extremity exercises on hemodynamics post-stent placement. We conducted a comprehensive analysis to evaluate the impact of specific lower limb movements, including hip flexion, ankle movement and pneumatic compression on the hemo-dynamic characteristics within the treated vein. The analysis assessed parameters such as wall shear stress (WSS), oscillatory shear index (OSI), and residence time (RRT). Results: The results demonstrated that hip flexion significantly disrupts blood flow dynamics at the iliac vein bifurcation after stenting. Bilateral and left hip flexion were associated with pronounced regions of low WSS and high OSI at the iliac-vena junction and the stent segment. Additionally, active ankle exercise (AAE) and intermittent pump compression (IPC) therapy were found to enhance the occurrence of low WSS regions along the venous wall, potentially reducing the risk of thrombosis post-stent placement. Consequently, both active joint movements (hip and ankle) and passive movements have the potential to influence the local blood flow environment within the iliac vein after stenting. Conclusions: The exploration of the impact of lower limb movements on hemodynamics provides valuable insights for mitigating adverse effects associated with lower limb movements post iliac-stenting. Bilateral and left hip flexions negatively impacted blood flow, increasing thrombosis risk. However, active ankle exercise and intermittent pump compression therapies effectively improve the patency.

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BACKGROUND: Resistance exercise leads to improved muscle function and metabolic homeostasis. Yet how circadian rhythm impacts exercise outcomes and its molecular transduction remains elusive. METHODS: Human volunteers were subjected to 4 weeks of resistance training protocols at different times of day to assess training outcomes and their associations with myokine irisin. Based on rhythmicity of Fibronectin type III domain containing 5 (FNDC5/irisin), we trained wild type and FNDC5 knockout mice at late active phase (high FNDC5/irisin level) or late rest phase (low FNDC5/irisin level) to analyze exercise benefits on muscle function and metabolic homeostasis. Molecular analysis was performed to understand the regulatory mechanisms of FNDC5 rhythmicity and downstream signaling transduction in skeletal muscle. RESULTS: In this study, we showed that regular resistance exercises performed at different times of day resulted in distinct training outcomes in humans, including exercise benefits and altered plasma metabolomics. We found that muscle FNDC5/irisin levels exhibit rhythmicity. Consistent with human data, compared to late rest phase (low irisin level), mice trained chronically at late active phase (high irisin level) gained more muscle capacity along with improved metabolic fitness and metabolomics/lipidomics profiles under a high-fat diet, whereas these differences were lost in FNDC5 knockout mice. Mechanistically, Basic helix-loop-helix ARNT like 1 (BMAL1) and Peroxisome proliferative activated receptor, gamma, coactivator 1 alpha 4 (PGC1α4) induce FNDC5/irisin transcription and rhythmicity, and the signaling is transduced via αV integrin in muscle. CONCLUSION: Together, our results offered novel insights that exercise performed at distinct times of day determines training outcomes and metabolic benefits through the rhythmic regulation of the BMAL1/PGC1α4-FNDC5/irisin axis.

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Serological detection of hepatitis B virus markers plays a vital role in the diagnosis, treatment, prognosis, and therapeutic surveillance of hepatitis B. To compare the diagnostic performance of Autolumo A2000Plus and Abbott Architect i2000 systems in the detection of hepatitis B infection markers. A total of 6 HBV seroconversion panels and 743 participants were enrolled in this study, including 383 HBV-infected patients and 360 healthy adults. Clinical diagnostic information, laboratory results, and HBV genotyping were collected to evaluate the diagnostic performance of the A2000Plus and i2000 systems in detecting HBV infection markers. The results showed that the total percent agreement of HBV markers was all >90 % in both detection systems among the six seroconversion panels and 743 serum samples from the population. The χ2 values of the Chi-square test among hepatitis B virus serological markers in both analyzers were between 550.7 and 743.0, p < 0.0001. HBV marker consistency test results show perfect consistency between the two analyzers, with Kappa values ranging from 0.854 to 1.000. For specific samples, including Hepatitis B patients with Genotype C, chronic hepatitis B, hepatitis B-related cirrhosis, and hepatocellular carcinoma, spearman correlation analysis showed HBsAg correlation coefficients ranging from 0.8532 to 0.9745, p < 0.001 in both analyzers. In conclusion, Autolumo A2000Plus diagnostic performance in consistency and correlation is comparable to Abbott Architect i2000 when detecting markers of hepatitis B infection. The Autolumo A2000Plus system can be used as a reliable instrument for HBV marker detection.

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Previous studies in small samples have identified inconsistent cortical abnormalities in major depressive disorder (MDD). Despite genetic influences on MDD and the brain, it is unclear how genetic risk for MDD is translated into spatially patterned cortical vulnerability. Here, we initially examined voxel-wise differences in cortical function and structure using the largest multi-modal MRI data from 1660 MDD patients and 1341 controls. Combined with the Allen Human Brain Atlas, we then adopted transcription-neuroimaging spatial correlation and the newly developed ensemble-based gene category enrichment analysis to identify gene categories with expression related to cortical changes in MDD. Results showed that patients had relatively circumscribed impairments in local functional properties and broadly distributed disruptions in global functional connectivity, consistently characterized by hyper-function in associative areas and hypo-function in primary regions. Moreover, the local functional alterations were correlated with genes enriched for biological functions related to MDD in general (e.g., endoplasmic reticulum stress, mitogen-activated protein kinase, histone acetylation, and DNA methylation); and the global functional connectivity changes were associated with not only MDD-general, but also brain-relevant genes (e.g., neuron, synapse, axon, glial cell, and neurotransmitters). Our findings may provide important insights into the transcriptomic signatures of regional cortical vulnerability to MDD.

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Ammonia, with high energy density and easy transportation, holds significant potential to become an integral part of future energy systems. Among tremendous strategies, electrocatalytic ammonia production is no doubt an efficient and eco-friendly method. One particularly intriguing class of electrocatalysts for reducing nitrate to ammonia is transition metal oxides, which have been heavily researched. However, how these catalysts' oxygen vacancy (VO) affects their performance remains elusive. To address this, taking titania (the most important catalyst) as an example, we carried out experimental investigations and simulations. Contrary to the prevailing belief that the concentrated VO would increase the catalytic efficiency of nitrate reduction, it was found that a relatively low level of VO is favorable for maximizing catalytic efficiency. At low cathodic voltages, titania with minimal VO delivered both the highest reduction efficiency and the best selectivity among the different titania samples in this paper. In addition to outlining the merits of lower electron transfer resistance and accelerated reaction dynamics, we also put forth a previously unmentioned factor, the adsorption of hydrogen or the creation of an ordered hydrogen bond network, which put up a hydrogen-rich atmosphere for following nitrate reduction. Further simulation study revealed that within the hydrogen-rich atmosphere isolated VO serves as the ideal active center to enable the lowest energy barriers for the reduction of nitrate into ammonia. These findings offer fresh insights into the working mechanism of oxide-based electrocatalysts for ammonia production.

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Biomaterials with osteoinductivity are widely used for bone defect repair due to their unique structures and functions. Machine learning (ML) is pivotal in analyzing osteoinductivity and accelerating new material design. However, challenges include creating a comprehensive database of osteoinductive materials and dealing with low-quality, disparate data. As a standard for evaluating the osteoinductivity of biomaterials, ectopic ossification has been used. This paper compiles research findings from the past thirty years, resulting in a robust database validated by experts. To tackle issues of limited data samples, missing data, and high-dimensional sparsity, a data enhancement strategy is developed. This approach achieved an area under the curve (AUC) of 0.921, a precision of 0.839, and a recall of 0.833. Model interpretation identified key factors such as porosity, bone morphogenetic protein-2 (BMP-2), and hydroxyapatite (HA) proportion as crucial determinants of outcomes. Optimizing pore structure and material composition through partial dependence plot (PDP) analysis led to a new bone area ratio of 14.7 ± 7 % in animal experiments, surpassing the database average of 10.97 %. This highlights the significant potential of ML in the development and design of osteoinductive materials. STATEMENT OF SIGNIFICANCE: This study leverages machine learning to analyze osteoinductive biomaterials, addressing challenges in database creation and data quality. Our data enhancement strategy significantly improved model performance. By optimizing pore structure and material composition, we increased new bone formation rates, showcasing the vast potential of machine learning in biomaterial design.

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Solar-driven water-electricity cogeneration is a promising strategy for tackling water scarcity and power shortages. However, comprehensive reviews on performance, scalability, commercialization, and power density are lacking. This Perspective presents an overview of recent developments and insights into the challenges and future outlooks for practical applications in this area. We summarize recent advances in high-efficiency water production, focusing on rapid evaporation and condensation. Then we categorize power-water cogeneration systems by power generation mechanisms like steam, evaporation, salinity gradient, photovoltaics, and temperature gradient, providing a comprehensive summary of the performance and applicability of these systems in different scenarios. Finally, we highlight challenges in current systems, considering nanoscale mechanisms and large-scale manufacturing, while also exploring potential trends for future practical applications.

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Electrically powered solitons are particle-like field configurations in out-of-equilibrium nematics that have garnered significant interest. However, their random generation and lack of controllable motion have limited their application. Here, we present a reconfigurable optoelectronic approach capable of regulating the entire lifecycle of solitons by utilizing multi-strategy digital light projection to construct delicate patterning of virtual electrode. We demonstrate that optically actuated domains with diverse geometry enable the generation of multiple solitons and further allow in-situ formation of individual soliton by matching the light pattern to its dimension. Exquisitely engineered light intensity of patterns facilitates modulation of soliton velocity and transformation of propagating direction. The utilization of a light-guided channel enables the on-demand control of soliton trajectories along customized paths. Furthermore, dynamic light patterns that vary in space and time allow for collective motion such as migration, mimicking phototaxis in biological systems. This reconfigurable manipulation strategy, grounded in the photoconductive effect, proves highly versatile and effective in directing soliton dynamics, heralding the potential for their programmable control and offering a significant advantage in multitasking scenarios.

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Resistance to genotoxic therapies and tumor recurrence are hallmarks of glioblastoma (GBM), an aggressive brain tumor. In this study, we investigated functional drivers of post-treatment recurrent GBM through integrative genomic analyses, genome-wide genetic perturbation screens in patient-derived GBM models and independent lines of validation. Specific genetic dependencies were found consistent across recurrent tumor models, accompanied by increased mutational burden and differential transcript and protein expression compared to its primary GBM predecessor. Our observations suggest a multi-layered genetic response to drive tumor recurrence and implicate PTP4A2 (protein tyrosine phosphatase 4A2) as a modulator of self-renewal, proliferation and tumorigenicity in recurrent GBM. Genetic perturbation or small-molecule inhibition of PTP4A2 acts through a dephosphorylation axis with roundabout guidance receptor 1 (ROBO1) and its downstream molecular players, exploiting a functional dependency on ROBO signaling. Because a pan-PTP4A inhibitor was limited by poor penetrance across the blood-brain barrier in vivo, we engineered a second-generation chimeric antigen receptor (CAR) T cell therapy against ROBO1, a cell surface receptor enriched across recurrent GBM specimens. A single dose of ROBO1-targeted CAR T cells doubled median survival in cell-line-derived xenograft (CDX) models of recurrent GBM. Moreover, in CDX models of adult lung-to-brain metastases and pediatric relapsed medulloblastoma, ROBO1 CAR T cells eradicated tumors in 50-100% of mice. Our study identifies a promising multi-targetable PTP4A-ROBO1 signaling axis that drives tumorigenicity in recurrent GBM, with potential in other malignant brain tumors.

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Artificial periosteum is deemed a novel strategy for inducing endogenous bone regeneration, but ideal periosteum substitutes achieved by orchestrating a biomimetic microenvironment for bone regeneration remain a significant challenge. Here, we design and fabricate a hybridized nanofiber-based artificial periosteum with boosted osteoinduction properties. Via a "molecular cage" biomineralization strategy, nano-hydroxyapatite (nano-HAp) with a controllable size (∼22 nm) and excellent dispersion serves as unique nano-additives for water-soluble polyvinyl-alcohol (PVA)-based artificial periosteum. The PVA/HAp composite is electrospun into nanofibers to replicate the extracellular-matrix-inspired nanostructure for inducing cell adhesion, proliferation, and fate manipulation. A simple post-crosslinking treatment is subsequently applied to further booster its mechanical strength (6.6 MPa) and swelling stability. The optimized sample of C-PVA/HAp (10 wt% nano-HAp) artificial periosteum features excellent biocompatibility and remarkable in vitro mineralization. Cell experiments demonstrate that its effectively boasted cell modulation for enhanced osteogenesis without the aid of growth factors, showing a possible activation of the ERK/MAPK signaling pathway. This work provides an effective strategy for designing novel HAp nano-additives and expands the possibility of biomimetic fabrication for more advanced nanofiber-based artificial periosteum.

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