CD73 alleviates osteoarthritis by maintaining anabolism and suppressing catabolism of chondrocytes extracellular matrix.

Background: Osteoarthritis (OA) is the most common degenerative joint disease, with articular cartilage degeneration as primary manifestation. Intra-articular injection of exogenous liposomal adenosine in mice knee has been shown to alleviate OA progression. However, the role of CD73, the rate-limiting enzyme of extracellular adenosine synthesis, in OA is still unknown. Methods: In this work, we explored the expression changes of adenosine-related molecules via bioinformatic analysis. In addition, the expression level of these molecules was detected in OA cartilage. We also conducted a case-control study to investigate the genetic variants of selected SNPs on genes encoded adenosine-related molecules. To further explore the function of CD73 in chondrocytes, we knocked down the expression of CD73 with small interfering RNA and overexpressed CD73 with the use of lentivirus, and detected the expression of markers for anabolism and catabolism in mouse primary chondrocytes with or without IL-1ß treatment. We also conducted in vivo experiments to explore the role of CD73 in OA. Results: We found that the expression of CD73 was upregulated in OA, and the variants of SNP rs2229523 (base A to G) on NT5E (the encoding gene of CD73) were significantly higher in OA population, which might cause the amino acid encoded by this SNP change from threonine to alanine. The original helix structure in the adjacent region of amino acid encoded by SNP rs2229523 would be deconstructed after its mutation. Furthermore, we found that CD73 promoting the expression of Col2a1 but suppressing the expression of Mmp13 expression in mouse primary chondrocytes under inflammatory environment. The overexpression of CD73 attenuated bone remodeling and alleviated cartilage degeneration in DMM mice. Moreover, the physical activities were also improved in DMM mice overexpressed CD73 with the use of adeno-associated virus. Conclusions: The variants of SNP rs2229523 (base A to G) on NT5E were significantly higher in OA population, and CD73 could alleviate OA by maintaining anabolism and suppressing catabolism of chondrocytes extracellular matrix. The Translational Potential of this Article: This work showed that CD73 might be one of the biological therapeutic targets of OA, which would provide a reference for future novel treatment strategy of OA.

Hairpin probe-based one-pot multiplex isothermal amplification combined with bifunctional G-quadruplex (IHP-GT) for the detection of alkaline phosphatase.

Abnormal alkaline phosphatase (ALP) levels have been linked to breast cancer, prostate cancer, bone damage, gingivitis and abnormal liver function. Monitoring ALP levels is important for better diagnosis and treatment of these diseases. Detection of ALP by colorimetric methods is very portable in terms of signal reading, but still suffers from low sensitivity. SERS can achieve high sensitivity detection, but cannot be separated from large precision instruments. Therefore, researchers have worked to optimize various aspects of the sensor, such as sensitivity, detection time, and operating procedures, to enable portable and rapid ALP detection. Isothermal amplification using simple system components meets the current demand for rapid, portable assays. We have developed a novel one-pot high-efficiency ALP assay strategy called IHP-GT. IHP-GT performs a one-step cascade amplification using only one probe (IGHP) as a template. The phosphorylated primer P binds to IGHP, forming a P/IGHP structure. At this point, the G-quadruplex closes and no signal is generated. In the presence of ALP, primer P is dephosphorylated to remove the restriction and then amplified in a cascade using IGHP as a template to release the full G-quadruplex structure. The single-stranded G-quadruplex will bend to form a secondary structure, facilitating secondary amplification starting with primer AT to produce PrG and P'. The PrG structure will trigger triple amplification, enabling cascade amplification. The G-quadruplex structure produced by cascade amplification has the dual role of promoting amplification of primer AT and binding to ThT to produce a fluorescent signal. The IHP-GT method provides a highly sensitive detection of ALP in less than 90 min and has been successfully used to analyze ALP in human serum samples. In addition, IHP-GT can be used to screen for ALP inhibitors. Importantly, we lyophilized the IHP-GT reaction components into powder form for user-friendly poc testing.

Dual responsive drug-loaded nanomotor based on zwitterionic materials for the treatment of peritoneal metastatic cancer.

Innovative treatments for peritoneal metastatic cancer have attracted widespread attention from researchers. Here, we propose a drug-loaded nanomotor (PSBMA/l-Arg/DOX, PLD) based on zwitterionic materials for the treatment of peritoneal metastatic cancer through intraperitoneal injection. Zwitterionic polymer nanocarriers (PSBMA NPs) are obtained by radical polymerization with zwitterionic SBMA as the polymerization monomer and N,N'-Bis(acryloyl)cystamine (BAC) as the cross-linking agent. The zwitterionic substrate of this nanomotor has the ability to resist non-specific protein adsorption in ascites. The loaded l-arginine enables the nanomotor to have the ability to chemotaxis towards high concentrations of ROS/iNOS in tumors and be catalyzed to produce NO, achieving deep penetration into tumor tissue. Furthermore, the disulfide bond (SS) carried by the crosslinking agent used in the preparation of the nanomotor can respond to the high expression of reducing glutathione in the tumor microenvironment and undergo degradation, releasing a large amount of loaded drug DOX. Cell and animal disease model experiments confirme the good therapeutic effect of this drug-loaded nanomotor, providing new therapeutic concepts and strategies for the treatment of peritoneal metastatic cancer.

Whole tumour- and subregion-based radiomics of contrast-enhanced mammography in differentiating HER2 expression status of invasive breast cancers: A double-centre pilot study.

OBJECTIVES: To explore the value of whole tumour- and subregion-based radiomics of contrast-enhanced mammography (CEM) in differentiating the HER2 expression status of breast cancers. METHODS: 352 patients underwent preoperative CEM from two centres were consecutively enroled and divided into the training, internal validation, and external validation cohorts. The lesions were divided into HER2-positive and HER2-negative groups. Besides the radiological features, radiomics features capturing the whole tumour-based (wITH) and subregion-based intratumoral heterogeneity (sITH) were extracted from the craniocaudal view of CEM recombined images. The XGBoost classifier was applied to develop the radiological, sITH, and wITH models. A combined model was constructed by fusing the prediction results of the three models. RESULTS: The mean age of the patients was 51.1 ± 10.7 years. Two radiological features, four wITH features, and three sITH features were selected to establish the models. The combined model significantly improved the AUC to 0.80 ± 0.03 (95% CI: 0.73-0.86), 0.79 ± 0.06 (95% CI: 0.67-0.90), and 0.79 ± 0.05 (95% CI: 0.69-0.89) in the training, internal validation, and external validation cohorts, respectively (All P < 0.05). The combined model showed good agreement between the predicted and observed probabilities and favourable net clinical benefit in the validation cohorts. CONCLUSIONS: Both whole tumour- and subregion-based ITH radiomics features of CEM exhibited potential for differentiating the HER2 expression status. Combining conventional radiological features and ITH features can improve the model's performance.

Distribution and co-occurrence of microplastics and co-existing pollutants in bottom water and sediment of the East China Sea.

Microplastics (MPs) contamination in marine environment has been an emerging issue worldwide, notably due to the potential ecological risks of MPs with co-existing environmental contaminants and released toxic plastic additives. To verify the co-occurrence characteristics of MPs and co-existing pollutants in the benthic boundary layer (BBL), the distribution characteristics of MPs, and selected heavy metals (HMs) and halogenated flame retardants (Polybrominated diphenyl ethers, PBDEs, and Dechlorane Plus) in the bottom water and sediment were comprehensively investigated in the East China Sea (ECS). The sampling sites were selected along the coast of ECS, where might be significantly affected by terrigenous inputs and anthropogenic sources. MPs were abundant in the bottom water (62.8-480.2 items/L) and sediment (80.1-1346.7 items/kg d.w.) with polyester, polyethylene, and polypropylene being as the most abundant types and characterized as fiber/line, particle size 200-500 µm, and transparent/white. The abundance and characteristics of MPs demonstrated strong correlations within the bottom water and sediment, which might be due to the frequent exchange of materials. In addition, the abundance of MPs was significantly positively correlated with HMs (Cd, Cr, Pb) in the bottom water and PBDEs in sediment, respectively. According to the scanning electron microscopy/energy dispersive X-ray spectrometry analysis, MPs might act as carriers to transport and co-sediment the co-existing pollutants in water, and physically adsorb or chemically bind with pollutants in sediment. These results could help to elucidate the sources, migration, and fate, and verify the occurrence and potential risks of MPs and their co-existing pollutants in BBL, thus realize the management and control of MPs contamination in marine.

Development of a prognostic model for NSCLC based on differential genes in tumour stem cells.

Non-small cell lung cancer (NSCLC) constitutes a significant portion of lung cancers and cytotoxic drugs (e.g. cisplatin) are currently the first-line treatment. However, NSCLC has developed resistance to this drug, which limits the therapeutic effect and thus affects prognosis. NSCLC sc-RNA-seq data were downloaded from the GEO database and Ku Leuven Laboratory for Functional Epigenetics, and bulk RNA-seq data were obtained from the TCGA database. The "Seurat" package was employed for scRNA-seq data processing, and the uniform manifold approximation and projection (UMAP) were applied for downscaling and cluster identification. Use the FindAllMarkers function to find differential genes (DEGs) for tumor stem cells. Then, we performed univariate regression analyses on the DEGs to identify potential prognostic genes. We created a machine learning framework based on potential prognostic genes, which combines 10 machine learning methods and their 101 combinations to get the optimal prognostic risk model. The model was evaluated in the training set and validation set. A nomogram was developed to provide physicians with a quantitative tool for prognosis prediction. Finally, we evaluated the expression and functionality of SLC2A1. We discovered 22 cell clusters containing 218379 cells by examining single-cell RNA sequencing datasets (GSE148071, KU_lom, GSE131907, GSE136246, GSE127465). Tumour cells were isolated for subpopulation analysis and 162 differential genes from SOX2_cancer were obtained. After univariate Cox analysis, we found 23 genes with prognostic potential prognostic value and utilized them to develop 101­combination machine learning computational framework. We eventually picked the best performing 'StepCox[both] + RSF', which includes 8 genes. The model has a relatively high prediction accuracy in both TCGA and GEO datasets. In in vitro investigations, targeted suppression of the SLC2A1 gene resulted in significant reductions in proliferation, invasion and migration in A549 cells. In addition, a significant reduction in cisplatin resistance was seen in A549/DDP cells. The outcomes demonstrated the precision and credibility of the prognostic model for NSCLC, highlighting its potential significance in the treatment and prognosis of individuals affected by this disease. SLC2A1 may become a promising prognostic marker and a potential therapeutic target, offering valuable insights to inform clinical treatment decisions.

Incorporation of small extracellular vesicles in PEG/HA-Bio-Oss hydrogel composite scaffold for bone regeneration.

Stem cell derived small extracellular vesicles (sEVs) have emerged as promising nanomaterials for the repair of bone defects. However, low retention of sEVs affects their therapeutic effects. Clinically used natural substitute inorganic bovine bone mineral (Bio-Oss) bone powder lacks high compactibility and efficient osteo-inductivity that limit its clinical application in repairing large bone defects. In this study, a poly ethylene glycol/hyaluronic acid (PEG/HA) hydrogel was used to stabilize Bio-Oss and incorporate rat bone marrow stem cell-derived sEVs (rBMSCs-sEVs) to engineer a PEG/HA-Bio-Oss (PEG/HA-Bio) composite scaffold. Encapsulation and sustained release of sEVs in hydrogel scaffold can enhance the retention of sEVs in targeted area, achieving long-lasting repair effect. Meanwhile, synergistic administration of sEVs and Bio-Oss in cranial defect can improve therapeutic effects. The PEG/HA-Bio composite scaffold showed good mechanical properties and biocompatibility, supporting the growth of rBMSCs. Furthermore, sEVs enhancedin vitrocell proliferation and osteogenic differentiation of rBMSCs. Implantation of sEVs/PEG/HA-Bio in rat cranial defect model promotedin vivobone regeneration, suggesting the great potential of sEVs/PEG/HA-Bio composite scaffold for bone repair and regeneration. Overall, this work provides a strategy of combining hydrogel composite scaffold systems and stem cell-derived sEVs for the application of tissue engineering repair.

Comprehensive analysis to identify IL7R as a immunotherapy biomarker from pan-cancer analysis to in vitro validation.

BACKGROUND: Immunotherapy faces a major challenge in treatment resistance, highlighting the need for efficacy biomarkers identification. The tumor microenvironment (TME) significantly influences treatment outcomes, necessitating molecular TME exploration to address immunotherapy resistance. METHODS: The study initially pinpointed IL7R as a pivotal TME gene and then examined its impact on TME's CD8 + T cells at the single-cell level. Bulk-RNA analysis investigated IL7R function, immune cell infiltration related to IL7R in TCGA pan-cancer samples with its expression verified in clinical samples through immunohistochemistry. Genome instability and immune-related molecular expression associated with IL7R were also assessed. Furthermore, the clinical efficacy of IL7R was evaluated in various immunotherapy treatment cohorts. RESULTS: Our single-cell analyses and cell-cased experiment revealed that T cells with high IL7R expression tended to be non-terminal and correlated with favorable immunotherapy responses. High IL7R expression corresponded to increased immune and stromal cell signiture, immune pathway enrichment, and an immune-inflamed environment in Bulk-RNA analysis and immunohistochemistry verification. These patients exhibited higher proportions of memory T cells and M1 cells within the TME, along with frequent genome instability and immune molecular upregulation. While IL7R had varied prognostic impact across the TCGA dataset, patients with high IL7R expression showed extended survival under immunotherapy. CONCLUSION: IL7R plays a critical role in shaping TME diversity across cancer types and holds promise as a relevant biomarker for predicting immunotherapy benefits.

Effects of different surgical extents on prognosis of patients with malignant ovarian sex cord-stromal tumors: a retrospective cohort study.

Malignant ovarian sex cord-stromal tumors are rare neoplasms that account for approximately 5-7% of all ovarian malignancies, and they are primarily treated with surgery. The prognosis of patients with different surgical extents remains controversial. Therefore, the effects of different surgical extents on the prognosis of patients were explored in this retrospective cohort study. Patients with malignant ovarian sex cord-stromal tumors who underwent surgical treatment from January 2000 to December 2019 were selected. Disease-free survival and overall survival rates were calculated by the Kaplan-Meier method and compared by the log-rank test. Prognosis factors were identified by Cox regression analysis. P < 0.05 was considered a statistically significant difference. A total of 278 patients with an average age at onset of 42 (8-78) years old were enrolled. The median follow-up time was 73 months. There was no significant difference in disease-free survival and overall survival rates between patients who underwent fertility-sparing surgery and those who underwent Non-fertility-sparing surgery, and between patients underwent staging surgery and those underwent Non-staging surgery. Age < 40 years (P = 0.024), stage II-III (P = 0.038), a high CA125 level (P = 0.035) and WT-1 (+) (P = 0.016) were independent risk factors for recurrence. In conclusion, different surgical extents have no significant influence on recurrence and survival status of patients with malignant ovarian sex cord-stromal tumors.

PRSS50-mediated inhibition of MKP3/ERK signaling is crucial for meiotic progression and sperm quality.

Serine protease 50 (PRSS50/TSP50) is highly expressed in spermatocytes. Our study investigated its role in testicular development and spermatogenesis. Initially, PRSS50 knockdown was observed to impair DNA synthesis in spermatocytes. To further explore this, we generated PRSS50 knockout ( Prss50 -/- ) mice ( Mus musculus), which exhibited abnormal spermatid nuclear compression and reduced male fertility. Furthermore, dysplastic seminiferous tubules and decreased sex hormones were observed in 4-week-old Prss50 -/- mice, accompanied by meiotic progression defects and increased apoptosis of spermatogenic cells. Mechanistic analysis indicated that PRSS50 deletion resulted in increased phosphorylation of extracellular signal-regulated protein kinases 1 and 2 (ERK1/2) and elevated levels of MAP kinase phosphatase 3 (MKP3), a specific ERK antagonist, potentially accounting for testicular dysplasia in adolescent Prss50 -/- mice. Taken together, these findings suggest that PRSS50 plays an important role in testicular development and spermatogenesis, with the MKP3/ERK signaling pathway playing a significant role in this process.

Safety and Risk Assessment of No-Prescription Online Semaglutide Purchases.

This qualitative study assesses the quality, amount of active ingredient, and characteristics associated with counterfeiting of semaglutide purchased from illegal online pharmacies without a prescription.

The role of lncRNA NEAT1 in human cancer chemoresistance.

Chemotherapy is currently one of the most effective methods in clinical cancer treatment. However, chemotherapy resistance is an important reason for poor chemotherapy efficacy and prognosis, which has become an urgent problem to be solved in the field of cancer chemotherapy. Therefore, it is very important to deeply study and analyze the mechanism of cancer chemotherapy resistance and its regulatory factors. Long non-coding RNA nuclear paraspeckle assembly transcript 1 (LncRNA NEAT1) has been shown to be closely associated with chemotherapy resistance in cancer. NEAT1 induces cancer cell resistance to chemotherapeutic drugs by regulating cell apoptosis, cell cycle, drug transport and metabolism, DNA damage repair, EMT, autophagy, cancer stem cell characteristics, and metabolic reprogramming. This indicates that NEAT1 may be an important target to overcome chemotherapy resistance and is expected to be a potential biomarker to predict the effect of chemotherapy. This article summarizes the expression characteristics and clinical characteristics of NEAT1 in different cancers, and deeply discusses the regulatory role of NEAT1 in cancer chemotherapy resistance and related molecular mechanisms, aiming to clarify NEAT1 as a new target to overcome cancer chemotherapy resistance and the feasibility of chemotherapy sensitizers, with a view to providing a potential therapeutic direction for overcoming the dilemma of cancer resistance in the future.

Efficacy and safety of Lianhua Qingwen granule combined with azithromycin for mycoplasma pneumoniae pneumonia in children: a systematic review with meta-analysis and trial sequential analysis.

Background: Lianhua Qingwen (LHQW) granule, a botanical drug preparation, is frequently utilized as an adjuvant treatment for mycoplasma pneumoniae pneumonia (MPP). Nevertheless, the clinical efficacy and safety of this treatment remain uncertain. Purpose: This study aims to evaluate the efficacy and safety of LHQW granule combined with azithromycin (AZM) in treating MPP in children. Method: To identify all randomized controlled trials (RCTs) of LHQW granule plus AZM, a search was conducted in eight Chinese and English databases (CNKI, Wan Fang, VIP, Sinomed, PubMed, Embase, Web of Science, and Cochrane Library) from their inception until 25 December 2023. Meta-regression and subgroup analysis were employed to investigate heterogeneity. Sensitivity analysis and trial sequential analysis (TSA) were conducted to assess the robustness of the findings. Additionally, the Grading of Recommendations Assessment, Development and Evaluation (GRADE) system was utilized to evaluate the quality of evidence. Results: A total of 15 RCTs involving 1909 participants were included in this study. The meta-analysis results indicated combination therapy of LHQW granule and AZM is significant different from AZM alone in both efficacy and safety, which are specifically observed in the following outcomes: response rate (RR = 1.17, 95% CI: 1.12 to 1.22, p < 0.01), antipyretic time (MD = -1.32, 95% CI: -1.66 to -0.98, p < 0.01), cough disappearance time (MD = -1.76, 95% CI: -2.47 to -1.05, p < 0.01), pulmonary rale disappearance time (MD = -1.54, 95% CI: -2.06 to -1.02, p < 0.01), c-reactive protein (CRP) (MD = -5.50, 95% CI: -6.92 to -4.07, p < 0.01), procalcitonin (PCT) (MD = -0.31, 95% CI: -0.38 to -0.24, p < 0.01), interleukin 6 (IL-6) (MD = -5.97, 95% CI: -7.39 to -4.54, p<0.01), tumor necrosis factor α (TNF-α) (MD = -5.74, 95% CI: -7.44 to -4.04, p < 0.01), forced vital capacity (FVC) (SMD = 0.48, 95% CI: 0.34 to 0.62, p < 0.01), forced expiratory volume in the first second (FEV1) (SMD = 0.55, 95% CI: 0.44 to 0.67, p < 0.01), FEV1/FVC (SMD = 0.49, 95% CI: 0.32 to 0.67, p < 0.01), CD4+ T lymphocyte (CD4+) (MD = 4.04, 95% CI: 3.09 to 4.98, p < 0.01), CD8+ T lymphocyte (CD8+) (MD = -3.32, 95% CI: 4.27 to 2.38, p < 0.01) and adverse events (RR = 0.65, 95% CI: 0.43 to 0.96, p < 0.01). Conclusion: The combination therapy of LHQW granule and AZM may be a better strategy to treat MPP in children. However, the clinical efficacy and safety of LHQW granule require further validation. Systematic Review Registration: https://www.crd.york.ac.uk/PROSPERO/.

The immunoregulatory role of gut microbiota in the incidence, progression, and therapy of breast cancer.

Breast cancer (BrCa) is the most prevalent malignant tumor in women and one of the leading causes of female mortality. Its occurrence and progression are influenced by various factors, including genetics, environment, lifestyle, and hormones. In recent years, the gut microbiota has been identified as a significant factor affecting BrCa. The gut microbiota refers to the collective population of various microorganisms in the human gastrointestinal tract. Gut microbiota is closely associated with human health and disease development, participating in crucial physiological functions such as digestion, metabolism, immune response, and neural regulation. It has been found to influence the occurrence and treatment of BrCa through a variety of mechanisms. This article aims to review the immunomodulatory role of the gut microbiota in the development and treatment of BrCa.

The role of water bridge on gas adsorption and transportation mechanisms in organic shale.

This work introduces and discusses the impacts of the water bridge on gas adsorption and diffusion behaviors in a shale gas-bearing formation. The density distribution of the water bridge has been analyzed in micropores and meso-slit by molecular dynamics. Na+ and Cl- have been introduced into the system to mimic a practical encroachment environment and compared with pure water to probe the deviation in water bridge distribution. Additionally, practical subsurface scenarios, including pressure and temperature, are examined to reveal the effects on gas adsorption and diffusion properties, determining the shale gas transportation in realistic shale formation. The outcomes suggest carbon dioxide (CO2) usually has higher adsorption than methane (CH4) with a water bridge. Increasing temperature hinders gas adsorption, density distribution decreases in all directions. Increasing pressure facilitates gas adsorption, particularly as a bulk phase in the meso-slit, whereas it restricts gas diffusion by enhancing the interaction strength between gas and shale. Furthermore, ions make the water bridge distributes more unity and shifts to the slit center, impeding gas adsorption onto shale while encouraging gas diffusion. This study provides updated guidelines for gas adsorption and transportation characteristics and supports the fundamental understanding of industrial shale gas exploration and transportation.

A cutting-edge deep learning-and-radiomics-based ultrasound nomogram for precise prediction of axillary lymph node metastasis in breast cancer patients ≥ 75 years.

Objective: The objective of this study was to develop a deep learning-and-radiomics-based ultrasound nomogram for the evaluation of axillary lymph node (ALN) metastasis risk in breast cancer patients ≥ 75 years. Methods: The study enrolled breast cancer patients ≥ 75 years who underwent either sentinel lymph node biopsy or ALN dissection at Fudan University Shanghai Cancer Center. DenseNet-201 was employed as the base model, and it was trained using the Adam optimizer and cross-entropy loss function to extract deep learning (DL) features from ultrasound images. Additionally, radiomics features were extracted from ultrasound images utilizing the Pyradiomics tool, and a Rad-Score (RS) was calculated employing the Lasso regression algorithm. A stepwise multivariable logistic regression analysis was conducted in the training set to establish a prediction model for lymph node metastasis, which was subsequently validated in the validation set. Evaluation metrics included area under the curve (AUC), accuracy, sensitivity, specificity, positive predictive value, negative predictive value, and F1-score. The calibration of the model's performance and its clinical prediction accuracy were assessed using calibration curves and decision curves respectively. Furthermore, integrated discrimination improvement and net reclassification improvement were utilized to quantify enhancements in RS. Results: Histological grade, axillary ultrasound, and RS were identified as independent risk factors for predicting lymph node metastasis. The integration of the RS into the clinical prediction model significantly improved its predictive performance, with an AUC of 0.937 in the training set, surpassing both the clinical model and the RS model alone. In the validation set, the integrated model also outperformed other models with AUCs of 0.906, 0.744, and 0.890 for the integrated model, clinical model, and RS model respectively. Experimental results demonstrated that this study's integrated prediction model could enhance both accuracy and generalizability. Conclusion: The DL and radiomics-based model exhibited remarkable accuracy and reliability in predicting ALN status among breast cancer patients ≥ 75 years, thereby contributing to the enhancement of personalized treatment strategies' efficacy and improvement of patients' quality of life.

Combining hybrid cell membrane modified magnetic nanoparticles and inverted microfluidic chip for in situ CTCs capture and inactivation.

Circulating tumor cells (CTCs) serve as crucial indicators for tumor occurrence, progression, and prognosis monitoring. However, achieving high sensitivity and high purity capture of CTCs remains challenging. Additionally, in situ capture and synchronous clearance hold promise as methods to impede tumor metastasis, but further exploration is needed. In this study, biomimetic cell membrane-coated magnetic nanoparticles (NPs) were designed to address the issue of nonspecific adsorption of capture probes by the immune system during blood circulation. Membranes from human breast cancer cells (tumor cell membranes, TMs) and leukocytes (white blood cell membranes, WMs) were extracted and fused to form a hybrid membrane (HM), which was further modified onto the surface of porous magnetic NPs loaded with indocyanine green (ICG). The incorporation of TM enhanced the material's target specificity, thus increasing capture efficiency, while WM coating reduced interference from homologous white blood cells (WBCs), further enhancing capture purity. Additionally, in conjunction with our novel inverted microfluidic chip, this work introduces the first use of polymer photonic crystals as the capture interface for CTCs. Besides providing an advantageous surface structure for CTC attachment, the 808 nm photonic bandgap effectively amplifies the 808 nm excitation light at the capture surface position. Therefore, upon capturing CTCs, the ICG molecules in the probes facilitate enhanced photothermal (PTT) and photodynamic (PDT) synergistic effects, directly inactivating the captured CTCs. This method achieves capture efficiency and purity exceeding 95% and permits in situ inactivation post-capture, providing an important approach for future research on impeding tumor metastasis in vivo.

Cellular Scale Curvature in Bioceramic Scaffolds Enhanced Bone Regeneration by Regulating Skeletal Stem Cells and Vascularization.

Critical-sized segmental bone defects cannot heal spontaneously, leading to disability and significant increase in mortality. However, current treatments utilizing bone grafts face a variety of challenges from donor availability to poor osseointegration. Drugs such as growth factors increase cancer risk and are very costly. Here, a porous bioceramic scaffold that promotes bone regeneration via solely mechanobiological design is reported. Two types of scaffolds with high versus low pore curvatures are created using high-precision 3D printing technology to fabricate pore curvatures radius in the 100s of micrometers. While both are able to support bone formation, the high-curvature pores induce higher ectopic bone formation and increased vessel invasion. Scaffolds with high-curvature pores also promote faster regeneration of critical-sized segmental bone defects by activating mechanosensitive pathways. High-curvature pore recruits skeletal stem cells and type H vessels from both the periosteum and the marrow during the early phase of repair. High-curvature pores have increased survival of transplanted GFP-labeled skeletal stem cells (SSCs) and recruit more host SSCs. Taken together, the bioceramic scaffolds with defined micrometer-scale pore curvatures demonstrate a mechanobiological approach for orthopedic scaffold design.

Giant Effect of CO2 Injection on Multiphase Fluid Adsorption and Shale Gas Production: Evidence from Molecular Dynamics.

Carbon dioxide (CO2) injection in unconventional gas-bearing shale reservoirs is a promising method for enhancing methane recovery efficiency and mitigating greenhouse gas emissions. The majority of methane is adsorbed within the micropores and nanopores (≤50 nm) of shale, which possess extensive surface areas and abundant adsorption sites for the sequestration system. To comprehensively discover the underlying mechanism of enhanced gas recovery (EGR) through CO2 injection, molecular dynamics (MD) provides a promising way for establishing the shale models to address the multiphase, multicomponent fluid flow behaviors in shale nanopores. This study proposes an innovative method for building a more practical shale matrix model that approaches natural underground environments. The grand canonical Monte Carlo (GCMC) method elucidates gas adsorption and sequestration processes in shale gas reservoirs under various subsurface conditions. The findings reveal that previously overlooked pore slits have a significant impact on both gas adsorption and recovery efficiency. Based on the simulation comparisons of absolute and excess uptakes inside the kerogen matrix and the shale slits, it demonstrates that nanopores within the kerogen matrix dominate the gas adsorption while slits dominate the gas storage. Regarding multiphase, multicomponent fluid flow in shale nanopores, moisture negatively influences gas adsorption and carbon storage while promoting methane recovery efficiency by CO2 injection. Additionally, saline solution and ethane further impede gas adsorption while facilitating displacement. Overall, this work elucidates the substantial effect of CO2 injection on fluid transport in shale formations and advances the comprehensive understanding of microscopic gas flow and recovery mechanisms with atomic precision for low-carbon energy development.