Harnessing the Power of Sugar-Based Nanoparticles: A Drug-Free Approach to Enhance Immune Checkpoint Inhibition against Glioblastoma and Pancreatic Cancer.

Cancer cells have a high demand for sugars and express diverse carbohydrate receptors, offering opportunities to improve delivery with multivalent glycopolymer materials. However, effectively delivering glycopolymers to tumors while inhibiting cancer cell activity, altering cellular metabolism, and reversing tumor-associated macrophage (TAM) polarization to overcome immunosuppression remains a challenging area of research due to the lack of reagents capable of simultaneously achieving these objectives. Here, the glycopolymer-like condensed nanoparticle (∼60 nm) was developed by a one-pot carbonization reaction with a single precursor, promoting multivalent interactions for the galactose-related receptors of the M2 macrophage (TAM) and thereby regulating the STAT3/NF-κB pathways. The subsequently induced M2-to-M1 transition was increased with the condensed level of glycopolymer-like nanoparticles. We found that the activation of the glycopolymer-like condensed galactose (CG) nanoparticles influenced monocarboxylate transporter 4 (MCT-4) function, which caused inhibited lactate efflux (similar to inhibitor effects) from cancer cells. Upon internalization via galactose-related endocytosis, CG NPs induced cellular reactive oxygen species (ROS), leading to dual functionalities of cancer cell death and M2-to-M1 macrophage polarization, thereby reducing the tumor's acidic microenvironment and immunosuppression. Blocking the nanoparticle-MCT-4 interaction with antibodies reduced their toxicity in glioblastoma (GBM) and affected macrophage polarization. In orthotopic GBM and pancreatic cancer models, the nanoparticles remodeled the tumor microenvironment from "cold" to "hot", enhancing the efficacy of anti-PD-L1/anti-PD-1 therapy by promoting macrophage polarization and activating cytotoxic T lymphocytes (CTLs) and dendritic cells (DCs). These findings suggest that glycopolymer-like nanoparticles hold promise as a galactose-elicited adjuvant for precise immunotherapy, particularly in targeting hard-to-treat cancers.

Colchicine prevents perioperative myocardial injury in cardiac surgery by inhibiting the formation of neutrophil extracellular traps: evidence from rat models.

OBJECTIVES: Colchicine, an anti-inflammatory agent, has been reported to improve myocardial infarction prognosis by inhibiting neutrophil extracellular traps release. However, its role in cardiac surgery and the mechanisms behind neutrophil extracellular traps suppression remain unclear. This study aimed to explore colchicine's cardioprotective effects against perioperative myocardial injury in cardiac surgery, focusing on neutrophil extracellular traps inhibition as a novel therapeutic strategy. METHODS: Male Sprague-Dawley rats were pre-treated with colchicine (0.1 mg/kg/day) or CI-amidine (10 mg/kg/day) for seven days before undergoing cardiopulmonary bypass and myocardial ischaemia/reperfusion injury. The model was created by subjecting the rats to cardiopulmonary bypass and myocardial ischaemia/reperfusion injury. Under 4.0% sevoflurane anaesthesia, cardiopulmonary bypass was initiated by cannulating the tail artery and right atrium, and perfusion was maintained for 4 hours. Immunofluorescence detected neutrophil extracellular traps, and Hematoxylin and Eosin staining assessed inflammatory cell. RESULTS: We found colchicine treatment significantly reduced perioperative myocardial injury in rats. Furthermore, we observed a notable elevation of neutrophil extracellular traps in the myocardial tissue of animal models. Moreover, suppressing peptidylarginine deiminase 4(PAD-4) was found to markedly diminish perioperative myocardial injury in rats. Additionally, colchicine can mitigate the release of neutrophil extracellular traps by inhibiting PAD-4. CONCLUSIONS: NETs were significantly elevated during the perioperative period of cardiac surgery. Colchicine significantly mitigated myocardial injury in cardiac surgery by inhibiting neutrophil extracellular traps formation, with PAD-4 inhibition being one of its mechanisms.

Routine single-incision laparoscopic common bile duct exploration with concomitant cholecystectomy for elderly patients: a 6-year retrospective comparative study.

BACKGROUND: While single-incision laparoscopic cholecystectomy (SILC) has gained more popularity in recent years, its application to elderly patients needs further evaluation. Few SILC studies regarded this rapidly growing vulnerable population, and single-incision laparoscopic common bile duct exploration (SILCBDE) was never mentioned. We conducted an observational study of 146 routine SILCBDE to address this issue. METHODS: One hundred forty-six consecutive patients underwent SILCBDE with concomitant cholecystectomies during a period of 6 years (July 2012-June 2016 and July 2018-July 2020). Forty patients with an age of 65 years or older were the study target. Characteristics and operative outcomes were compared with the remaining 106 younger patients by retrospective chart review. The primary outcomes include complications and mortality, while the secondary outcomes contain intraoperative blood loss, operative time, procedural conversions, postoperative length of hospital stay, and bile duct stone recurrence. RESULTS: There was no mortality. The bile duct stone clearance rate was 98.6%. The elderly group had higher American Society of Anesthesiologists (ASA) scores, higher comorbidity rate, higher acute cholangitis rate, lower completion intraoperative cholangiography (IOC) rate, longer operative time, more blood loss, longer postoperative hospital stay (p < .001), longer total hospital stay (p < .001), higher procedural conversion rate (p < .05), higher complication rate (p < .001), and the exclusive open conversion (2.5%). The difference in complications derived from Clavien-Dindo grade I. CONCLUSION: Routine SILCBDE with concomitant cholecystectomy by experienced surgeons is safe and efficacious for elderly patients as for younger patients. Randomized controlled trials are anticipated.

Circulating T-lymphocyte subsets as promising biomarkers for the identification of sepsis-induced acute kidney injury.

BACKGROUND: This retrospective study investigated whether disturbances in circulating T-lymphocyte subsets could predict the incidence of acute kidney injury (AKI) and in-hospital mortality in patients with sepsis. METHODS: Clinical data from patients with sepsis admitted to the intensive care unit were reviewed. Logistic regression analyses were used to identify independent predictors of in-hospital mortality and the development of AKI. RESULTS: Of 81 patients with sepsis, 50 developed AKI. Both non-survivors and patients with septic AKI exhibited dramatically higher Sequential Organ Failure Assessment (SOFA) and Acute Physiology and Chronic Health Evaluation (APACHE) II scores. Non-survivors exhibited more organ damage, with significantly lower levels of peripheral T-lymphocyte subsets, including total circulating lymphocytes, and CD3+, CD3+CD4+, and CD3+CD8+ T-lymphocytes. Patients with septic AKI exhibited fewer total peripheral lymphocytes and fewer CD3+, CD3+CD4+, and CD3+CD8+ T-lymphocytes, with higher serum lactate levels and lower nadir platelet counts. Independent predictors of 30-day hospital mortality included maximum SOFA and APACHE II scores, occurrence of encephalopathy, and peripheral CD3+ and CD3+CD8+ T lymphocyte counts. Moreover, the maximum SOFA score and CD3+ and CD3+CD8+ T-lymphocyte counts demonstrated good predictive power for AKI in receiver operating characteristic curve (ROC) analyses, with an area under the ROC curve of 0.810 (95% confidence interval [CI] 0.712-0.908) for SOFA score, 0.849 (95% CI 0.764-0.934) for CD3+ T-lymphocytes, and 0.856 (95% CI 0.772-0.941) for CD3+CD8+ T-lymphocytes. CONCLUSION: Patients with sepsis-induced AKI experienced T lymphopenia and increased in-hospital mortality. Higher maximum SOFA scores and reduced peripheral CD3+ and CD3+CD8+ T-lymphocyte levels were associated with in-hospital mortality and the development of AKI in patients with sepsis.

Assessing post-COVID-19 respiratory dynamics: a comprehensive analysis of pulmonary function, bronchial hyperresponsiveness and bronchodilator response.

Background: Coronavirus disease 2019 (COVID-19) has a considerable impact on the global healthcare system. Individuals who have recovered from COVID often experience chronic respiratory symptoms that affect their daily lives. This study aimed to assess respiratory dynamics such as airway hyperresponsiveness (AHR) and bronchodilator response in post-COVID patients. Methods: This study included 282 adults with respiratory symptoms who underwent provocation tests. The demographic details, clinical symptoms and medical histories were recorded. Baseline spirometry, methacholine challenge tests (MCT) and post-bronchodilator spirometry were performed. Patients were divided into the following four groups: Group 1: non-COVID-19 and negative MCT; Group 2: post-COVID-19 and negative MCT; Group 3: non-COVID-19 and positive MCT; and Group 4: post-COVID-19 and positive MCT. Results: Most post-COVID-19 patients (43.7%) experienced AHR, and wheezing was more common. Patients in Group 4 exhibited increased intensities of dyspnoea, cough and wheezing with the lowest pulmonary function test (PFT) parameters at baseline. Moreover, significant decreases in PFT parameters after the MCT were observed in these patients. Although the prevalence of a low forced expiratory volume in 1 s to forced vital capacity ratio (<70%) was initially 2% in Group 4, it increased to 29% after MCT. No significant differences in allergic history or underlying diseases were observed between the groups. Conclusions: These findings provide comprehensive insights into the AHR and respiratory symptoms of post-COVID-19 individuals, highlighting the characteristics and potential exacerbations in patients with positive MCT results. This emphasises the need of MCT to address respiratory dynamics in post-COVID-19 individuals.

Porous Organic Cage-Based Quasi-Solid-State Electrolyte with Cavity-Induced Anion-Trapping Effect for Long-Life Lithium Metal Batteries.

Porous organic cages (POCs) with permanent porosity and excellent host-guest property hold great potentials in regulating ion transport behavior, yet their feasibility as solid-state electrolytes has never been testified in a practical battery. Herein, we design and fabricate a quasi-solid-state electrolyte (QSSE) based on a POC to enable the stable operation of Li-metal batteries (LMBs). Benefiting from the ordered channels and cavity-induced anion-trapping effect of POC, the resulting POC-based QSSE exhibits a high Li+ transference number of 0.67 and a high ionic conductivity of 1.25 × 10-4 S cm-1 with a low activation energy of 0.17 eV. These allow for homogeneous Li deposition and highly reversible Li plating/stripping for over 2000 h. As a proof of concept, the LMB assembled with POC-based QSSE demonstrates extremely stable cycling performance with 85% capacity retention after 1000 cycles. Therefore, our work demonstrates the practical applicability of POC as SSEs for LMBs and could be extended to other energy-storage systems, such as Na and K batteries.

Dim light at night unmasks sex-specific differences in circadian and autonomic regulation of cardiovascular physiology.

Shift work and artificial light at night disrupt the entrainment of endogenous circadian rhythms in physiology and behavior to the day-night cycle. We hypothesized that exposure to dim light at night (dLAN) disrupts feeding rhythms, leading to sex-specific changes in autonomic signaling and day-night heart rate and blood pressure rhythms. Compared to mice housed in 12-hour light/12-hour dark cycles, mice exposed to dLAN showed reduced amplitudes in day-night feeding, heart rate, and blood pressure rhythms. In female mice, dLAN reduced the amplitude of day-night cardiovascular rhythms by decreasing the relative sympathetic regulation at night, while in male mice, it did so by increasing the relative sympathetic regulation during the daytime. Time-restricted feeding to the dim light cycle reversed these autonomic changes in both sexes. We conclude that dLAN induces sex-specific changes in autonomic regulation of heart rate and blood pressure, and time-restricted feeding may represent a chronotherapeutic strategy to mitigate the cardiovascular impact of light at night.

Effect of Heart Rate Variability Biofeedback on Cardiac Autonomic Activation and Diabetes Self-Care in Patients with Type II Diabetes Mellitus.

In type 2 diabetes mellitus (T2DM), decreased autonomic activation and heightened negative emotions may worsen glycemic control. This study investigated the effects of heart rate variability biofeedback (HRVB) on autonomic activation, negative emotions, diabetes self-care, and glycemic control in patients with T2DM. A total of 61 participants with T2DM were assigned to either the HRVB group (n = 30; 62.67 ± 7.28 years; 14 females) or the control group (n = 31; 63.39 ± 6.96 years; 14 females). Both groups received the treatment as usual, and the HRVB group received 60 min of HRVB sessions weekly for 6 weeks. Participants completed psychological questionnaires, a resting electrocardiogram (ECG), and breathing rate assessments at pre- and post-tests. Heart rate variability (HRV) indices were derived from ECG data, and glycated hemoglobin (HbA1c) levels were collected from the electronic medical records. The analysis revealed significant Group × Time interaction effects on HRV indices, breathing rate, depression symptoms, and diabetes self-care behavior. The HRVB group demonstrated higher HRV indices, lower breathing rate, and improved diabetes self-care behavior compared to the control group. Moreover, the HRVB group showed enhanced HRV indices and diabetes self-care behavior, as well as reduced breathing rate and depression in the post-test compared to the pre-test. However, there was no significant interaction effect on HbA1c levels. Six sessions of HRVB proved effective as a complementary therapy for T2DM, enhancing HRV indices, alleviating depressive symptoms, and promoting better diabetes self-care behaviors.

High-Precision Automated Soybean Phenotypic Feature Extraction Based on Deep Learning and Computer Vision.

The automated collection of plant phenotypic information has become a trend in breeding and smart agriculture. Four YOLOv8-based models were used to segment mature soybean plants placed in a simple background in a laboratory environment, identify pods, distinguish the number of soybeans in each pod, and obtain soybean phenotypes. The YOLOv8-Repvit model yielded the most optimal recognition results, with an R2 coefficient value of 0.96 for both pods and beans, and the RMSE values were 2.89 and 6.90, respectively. Moreover, a novel algorithm was devised to efficiently differentiate between the main stem and branches of soybean plants, called the midpoint coordinate algorithm (MCA). This was accomplished by linking the white pixels representing the stems in each column of the binary image to draw curves that represent the plant structure. The proposed method reduces computational time and spatial complexity in comparison to the A* algorithm, thereby providing an efficient and accurate approach for measuring the phenotypic characteristics of soybean plants. This research lays a technical foundation for obtaining the phenotypic data of densely overlapped and partitioned mature soybean plants under field conditions at harvest.

Instrumented timed up and go test and machine learning-based levodopa response evaluation: a pilot study.

BACKGROUND: The acute levodopa challenge test (ALCT) is a universal method for evaluating levodopa response (LR). Assessment of Movement Disorder Society's Unified Parkinson's Disease Rating Scale part III (MDS-UPDRS III) is a key step in ALCT, which is some extent subjective and inconvenience. METHODS: This study developed a machine learning method based on instrumented Timed Up and Go (iTUG) test to evaluate the patients' response to levodopa and compared it with classic ALCT. Forty-two patients with parkinsonism were recruited and administered with levodopa. MDS-UPDRS III and the iTUG were conducted in both OFF-and ON-medication state. Kinematic parameters, signal time and frequency domain features were extracted from sensor data. Two XGBoost models, levodopa response regression (LRR) model and motor symptom evaluation (MSE) model, were trained to predict the levodopa response (LR) of the patients using leave-one-subject-out cross-validation. RESULTS: The LR predicted by the LRR model agreed with that calculated by the classic ALCT (ICC = 0.95). When the LRR model was used to detect patients with a positive LR, the positive predictive value was 0.94. CONCLUSIONS: Machine learning based on wearable sensor data and the iTUG test may be effective and comprehensive for evaluating LR and predicting the benefit of dopaminergic therapy.

Increased altitudes change sleep status among Chinese population.

Sleep is integral to human health. Accumulating evidence has revealed that sleep characteristics could be influenced by altitudes. However, few studies explored what the trajectories of sleep status are along with the altitudes. Therefore, this study aims to find the relationship between altitudes and sleep status using data from CHARLS, a nationwide survey data from China. The generalized additive model and generalized additive mixed-effects model were used to explore the association between sleep status and altitudes. Age, gender, education level, and other common confounding factors were included in the models as covariates. The sleep duration showed a rapid increase trend after the altitude of 1600 m. The probabilities of long sleep duration were increased with the evaluation of altitudes (edf = 1.945, P = 0.004), while the similar statistically significant change was not observed for short sleep duration (edf = 2.204, P = 0.193). Gender, residence, and ethnicity were the main influencing factors for the increase in sleep duration as altitude increased. The high-altitude environment could have effects on the sleep status of individuals, especially on the sleep duration. Long sleep duration was found more prevalent among highlanders. This study shed light on the underlying relationship between altitudes and sleep status which could provide clues for further mechanism studies. Supplementary Information: The online version contains supplementary material available at 10.1007/s41105-024-00527-y.

Steerable Interfacial Assembly of 1D Amyloid-Like Protein Nanocomposites for Enhanced Nanoherbicide Utilization.

Conventional herbicide formulations suffer from serious problems such as easy drift, run-off and scouring into the environment, which pose enormous threats to human health and environmental safety. Herein, an innovative strategy is proposed to prepare oil-in-water nanoemulsions with long-term stability, enhanced droplet deposition, and improved nanoherbicide adhesion via steerable interfacial assembly of 1D amyloid-like protein nanocomposites. Bovine serum albumin (BSA) undergoes rapid amyloid-like aggregation upon reduction of its disulfide bond. The resulting phase-transitioned BSA (PTB) oligomers instantly self-assemble on the surface of cellulose nanofibers (CNF) to form the 1D PTB/CNF nanocomposites, which greatly expands the parameter space for interfacial assembly of amyloid-like proteins. The PTB/CNF nanocomposites exhibit excellent interfacial activity, enabling spontaneous adsorption at the oil-water interface to stabilize nanoemulsion. The excess PTB/CNF nanocomposites would also self-assemble at the air-aqueous interface upon spraying, resulting in efficient droplet deposition on (super)hydrophobic leaves. The deposited nanoherbicides show excellent resistance to wind/rain corrosion due to the robust amyloid-mediated adhesion, with a retention rate of more than 80% after severe scouring. Consequently, herbicide applications can be reduced by at least 30% compared to commercial emulsifiable concentrates, showing greater herbicidal efficiency. This study provides novel insights and approaches to promote sustainable agricultural development.

Contagion of depression: a double-edged sword.

Depression is a significant mental health issue with extensive economic implications, and recent studies suggest it may be transmitted between individuals. However, the mechanisms of this contagion remain unclear, and the social buffering effect has been understudied. This research employs three rodent models, including stress crossover, cohabitation-induced, and non-contact induced depression contagion models, to explore these mechanisms. Here, we report that that naive mice cohabiting with depressed mice showed increased corticosterone levels and depressive behaviors, unlike those with stressed mice, who did not exhibit these changes and even mitigated desperation in stressed mice. Non-contact cohabitation did not produce significant behavioral differences, but exposure to bedding from depressed mice reduced sucrose preference in naive mice. This study introduces reliable models of depression contagion, suggesting it operates independently of stress transmission. The interplay between depression contagion and social buffering may vary in different contexts. These findings provide new insights into the mechanisms of depression contagion and potential strategies for preventing depressive disorders.

Fabrication of one-dimensional nanostructures standing vertically on a substrate through layer-by-layer deposition.

Layer-by-layer deposition has been widely used to prepare heterogeneous nanocomposites with controllable properties, where the controllability of nanocomposite properties can be further enhanced by combining the self-assembly of hard materials, such as nanocrystals, and soft materials, such as polymer matrices. However, the self-assembled structure of nanocrystals in a polymer matrix is limited by thermodynamics. Herein, we introduced the strong interaction between nanocrystals and a substrate to generate a thermodynamically unfavorable one-dimensional nanostructure standing vertically on the substrate. Two different shapes-"wire-like" and "steeple-like" or "antenna-like"-of one-dimensional nanostructures standing vertically on the substrate can be obtained using cube-like nanocrystals as building blocks and carefully controlling their size in each deposited layer. This low-cost and massively parallel scale synthesis method to generate one-dimensional nanostructures standing vertically on a substrate can be used to replace the expensive and time-consuming "lithography" synthesis method. This synthesis method also provides a simple way to design and fabricate one-dimensional nanostructures with desired properties standing vertically on a substrate by controlling nanocrystal properties in each deposited layer.

Decisive gene strategy on osteoarthritis: a comprehensive whole-literature based approach for conclusive gene targets.

BACKGROUND: Previous meta-analyses only examined the association between single or several gene polymorphisms and osteoarthritis (OA), whereas no studies have concluded that there are existing all gene loci that associate with OA. OBJECTIVE: To assess whether a definite conclusion of the association between the gene loci and OA can be drawn. METHODS: Decisive gene strategy (DGS), a literature-based approach, was used to search PubMed, Embase, and Cochrane databases for all meta-analyses that associated gene polymorphisms and OA. Trial Sequential Analysis (TSA) examined the sufficiency of the cumulative sample size. Finally, we assessed the importance of gene loci in OA based on whether there were enough sample sizes and the heterogeneity of the literatures with I2 value. RESULTS: After excluding 179 irrelevant publications, 80 meta-analysis papers were recruited. Among Caucasians, SMAD3 rs12901499 (OR = 1.20, 95% CI: 1.12-1.29) was a risk factor with validation of sufficient sample sizes through TSA model. Among Asians, there were 3 gene loci risk factors with validation of sufficient sample sizes through TSA model: ESR1 rs2228480, SMAD3 rs12901499, and MMP-1 rs1799750 (OR = 1.35, 95% CI: 1.08-1.69; OR = 1.34, 95% CI: 1.07-1.69; OR = 1.43, 95% CI: 1.18-1.74, respectively). Besides, 3 gene loci, DVWA rs7639618, GDF5 rs143383, and VDR rs7975232 (OR = 0.78, 95% CI: 0.67-0.90; OR = 0.74, 95% CI: 0.67-0.81; OR = 0.56, 95% CI: 0.35-0.90, respectively) were identified as protective factors through TSA model. CONCLUSIONS: We used DGS to identify conclusive gene loci associated with OA. These findings provide implications of precision medicine in OA and may potentially advance genetic therapy.

Assessing the inhibitory effects of some secondary amines, thioureas and 1,3-dimethyluracil conjugates of (-)-cytisine and thermopsine on the RNA-dependent RNA polymerase of SARS-CoV-1 and SARS-CoV-2.

SARS-CoV-2 causes COVID-19, with symptoms ranging from mild to severe, including pneumonia and death. This beta coronavirus has a 30-kilobase RNA genome and shares about 80 % of its nucleotide sequence with SARS-CoV-1. The replication/transcription complex, essential for viral RNA synthesis, includes RNA-dependent RNA polymerase (RdRp, nsp12) enhanced by nsp7 and nsp8. Antivirals like molnupiravir and remdesivir, which are RdRp inhibitors, treat severe COVID-19 but have limitations, highlighting the need for new therapies. This study assessed (-)-cytisine, methylcytisine, and thermopsine derivatives against SARS-CoV-1 and SARS-CoV-2 in vitro, focusing on their RdRp inhibition. Selected compounds from a previous study were evaluated using a SARS-CoV-2 RNA polymerase assay kit to investigate their structure-activity relationships. Compound 17 (1,3-dimethyluracil conjugate with (-)-cytisine and thermopsine) emerged as a potent inhibitor of SARS-CoV-1 and SARS-CoV-2 RdRp, with an IC50 value of 7.8 µM against SARS-CoV-2 RdRp. It showed a dose-dependent reduction in cytopathic effects in cells infected with SARS-CoV-1 and SARS-CoV-2 replicon-based single-round infectious particles (SRIPs) and significantly inhibited SARS-CoV N protein expression, with EC50 values of 0.12 µM for SARS-CoV-1 and 1.47 µM for SARS-CoV-2 SRIPs. Additionally, compound 17 reduced viral subgenomic RNA levels in a concentration-dependent manner in SRIP-infected cells. The structure-activity relationships of compound 17 with SARS-CoV-1 and SARS-CoV-2 RdRp were also investigated, highlighting it as a promising lead for developing antiviral agents against SARS and COVID-19.

Alkaline Phosphatase-Instructed Peptide Assemblies for Imaging and Therapeutic Applications.

Self-assembly, a powerful strategy for constructing highly stable and well-ordered supramolecular structures, widely exists in nature and in living systems. Peptides are frequently used as building blocks in the self-assembly process due to their advantageous characteristics, such as ease of synthesis, tunable mechanical stability, good biosafety, and biodegradability. Among the initiators for peptide self-assembly, enzymes are excellent candidates for guiding this process under mild reaction conditions. As a crucial and commonly used biomarker, alkaline phosphatase (ALP) cleaves phosphate groups, triggering a hydrophilicity-to-hydrophobicity transformation that induces peptide self-assembly. In recent years, ALP-instructed peptide self-assembly has made breakthroughs in biological imaging and therapy, inspiring the development of self-assembly biomaterials for diagnosis and therapeutics. In this review, we highlight the most recent advancements in ALP-instructed peptide assemblies and provide perspectives on their potential impact. Finally, we briefly discuss the ongoing challenges for future research in this field.

Synergistic ROS Generation via Core-Shell Nanostructures with Increased Lattice Microstrain Combined with Single-Atom Catalysis for Enhanced Tumor Suppression.

This study emphasizes the innovative application of FePt and Cu core-shell nanostructures with increased lattice microstrain, coupled with Au single-atom catalysis, in significantly enhancing •OH generation for catalytic tumor therapy. The combination of core-shell with increased lattice microstrain and single-atom structures introduces an unexpected boost in hydroxyl radical (•OH) production, representing a pivotal advancement in strategies for enhancing reactive oxygen species. The creation of a core-shell structure, FePt@Cu, showcases a synergistic effect in •OH generation that surpasses the combined effects of FePt and Cu individually. Incorporating atomic Au with FePt@Cu/Au further enhances •OH production. Both FePt@Cu and FePt@Cu/Au structures boost the O2 → H2O2 → •OH reaction pathway and catalyze Fenton-like reactions. This enhancement is underpinned by DFT theoretical calculations revealing a reduced O2 adsorption energy and energy barrier, facilitated by lattice mismatch and the unique catalytic activity of single-atom Au. Notably, the FePt@Cu/Au structure demonstrates remarkable efficacy in tumor suppression and exhibits biodegradable properties, allowing for rapid excretion from the body. This dual attribute underscores its potential as a highly effective and safe cancer therapeutic agent.

The Exosomes of Stem Cells from Human Exfoliated Deciduous Teeth Suppress Inflammation in Osteoarthritis.

Hyaluronic acid injection is commonly used clinically to slow down the development of osteoarthritis (OA). A newly developed therapeutic method is to implant chondrocytes/stem cells to regenerate cartilage in the body. The curative effect of stem cell therapy has been proven to come from the paracrine of stem cells. In this study, exosomes secreted by stem cells from human exfoliated deciduous teeth (SHED) and hyaluronic acid were used individually to evaluate the therapeutic effect in slowing down OA. SHED was cultured in a serum-free medium for three days, and the supernatant was collected and then centrifuged with a speed difference to obtain exosomes containing CD9 and CD63 markers, with an average particle size of 154.1 nm. SW1353 cells were stimulated with IL-1ß to produce the inflammatory characteristics of OA and then treated with 40 µg/mL exosomes and hyaluronic acid individually. The results showed that the exosomes successfully inhibited the pro-inflammatory factors, including TNF-α, IL-6, iNOS, NO, COX-2 and PGE2, induced by IL-1ß and the degrading enzyme of the extrachondral matrix (MMP-13). Collagen II and ACAN, the main components of the extrachondral matrix, were also increased by 1.76-fold and 2.98-fold, respectively, after treatment, which were similar to that of the normal joints. The effect can be attributed to the partial mediation of SHED exosomes to the NF-κB pathway, and the ability of exosomes to inhibit OA is found not inferior to that of hyaluronic acid.