Brain region-specific roles of brain-derived neurotrophic factor in social stress-induced depressive-like behavior.

Brain-derived neurotrophic factor is a key factor in stress adaptation and avoidance of a social stress behavioral response. Recent studies have shown that brain-derived neurotrophic factor expression in stressed mice is brain region-specific, particularly involving the corticolimbic system, including the ventral tegmental area, nucleus accumbens, prefrontal cortex, amygdala, and hippocampus. Determining how brain-derived neurotrophic factor participates in stress processing in different brain regions will deepen our understanding of social stress psychopathology. In this review, we discuss the expression and regulation of brain-derived neurotrophic factor in stress-sensitive brain regions closely related to the pathophysiology of depression. We focused on associated molecular pathways and neural circuits, with special attention to the brain-derived neurotrophic factor-tropomyosin receptor kinase B signaling pathway and the ventral tegmental area-nucleus accumbens dopamine circuit. We determined that stress-induced alterations in brain-derived neurotrophic factor levels are likely related to the nature, severity, and duration of stress, especially in the above-mentioned brain regions of the corticolimbic system. Therefore, BDNF might be a biological indicator regulating stress-related processes in various brain regions.

Fabrication of Highly Dispersed Ru Catalysts on CeO2 for Efficient C3H6 Oxidation.

Emissions of volatile organic compounds (VOCs) threaten both the environment and human health. To realize the elimination of VOCs, Ru/CeO2 catalysts have been intensively investigated and applied. Although it has been widely acknowledged that the catalytic performance of platinum group metal catalysts was highly determined by their dispersion and coordination environment, the most reactive structures on Ru/CeO2 catalysts for VOCs oxidation are still ambiguous. In this work, starting from Ce-BTC (BTC = 1,3,5-benzenetricarboxylic acid) materials, atomically dispersed Ru catalysts and agglomerated Ru catalysts were successfully created via one-step hydrothermal method (Ru-CeO2-BTC) and conventional incipient wetness impregnation method (Ru/CeO2-BTC), respectively. In a typical model reaction of C3H6 oxidation, atomically dispersed Ruδ+ species with the formation of abundant Ru-O-Ce linkages on Ru-CeO2-BTC were found to perform much better than agglomerated RuOx species on Ru/CeO2-BTC. Further characterizations and mechanism study disclosed that Ru-CeO2-BTC catalyst with atomically dispersed Ru ions and more superior low temperature redox performance compared to Ru/CeO2-BTC could better facilitate the adsorption/activation of C3H6 and the decomposition/desorption of intermediates, thus exhibiting superior C3H6 oxidation activity. This work elucidated the reactive sites on Ru/CeO2 catalysts in the C3H6 oxidation reaction and provided insightful guidance for designing efficient Ru/CeO2 catalysts to eliminate VOCs.

Rebuilding vascular access: from the viewpoint of mechanics and materials.

This review presents a comprehensive analysis of vascular access in hemodialysis, focusing on the current modalities, their associated challenges, and recent technological advancements. It closely examines the status of three primary types of vascular access: arteriovenous fistulas, arteriovenous grafts, and central venous catheters. The review delves into the complications and pathologies associated with these access types, emphasizing the mechanobiology-related pathogenesis of arteriovenous access. Furthermore, it explores recent clinical trials, biomaterials, and device innovations, highlighting novel pharmaceutical approaches, advanced materials, device designs, and cutting-edge technologies aimed at enhancing the efficacy, safety, and longevity of vascular access in hemodialysis. This synthesis of current knowledge and emerging trends underscores the dynamic evolution of vascular access strategies and their critical role in improving patient care in hemodialysis.

Assessment of the quality of online information on dietary recommendations for inflammatory bowel disease.

Objective: The internet has become a preferred source for people seeking health information, including diet recommendations which are pivotal in the management of inflammatory bowel disease (IBD). Hence, we aimed to assess the quality of online information in China regarding IBD dietary recommendations. Methods: The search engines Baidu and Bing were used to screen for their top 25 webpages using the keywords "inflammatory bowel disease diet," "ulcerative colitis diet," "Crohn's disease diet," "inflammatory bowel disease nutrition," "ulcerative colitis nutrition," and "Crohn's disease nutrition." The quality of information was assessed by two physicians according to the Journal of the American Medical Association (JAMA) benchmark, the Global Quality Score (GQS), and the DISCERN instrument. Results: One hundred and eight webpages were selected for evaluation. The mean scores for JAMA, GQS, and DISCERN were 1.48, 3.11, and 36.20, respectively. Articles from professionals and non-profit organizations demonstrated superior quality compared to those from commercial and health portal websites. Many webpages failed to provide an explicit source of information or support for shared decision-making. The information on several pages lacked comprehensive descriptions of food types for IBD, with some pages even containing inaccuracies. No statistically significant differences in scores were observed between Baidu and Bing. Conclusions: The quality of online information on IBD dietary recommendations in China is moderate to low and exhibits significant variation across different sources. This warrants joint efforts from online authors, internet platforms, and regulators, to improve the quality of popular medical information.

Application of real-time shear wave elastography to Achilles tendon hardness evaluation in older adults.

BACKGROUND: Real-time shear wave elastography (SWE) is a non-invasive imaging technique used to measure tissue stiffness by generating and tracking shear waves in real time. This advanced ultrasound-based method provides quantitative information regarding tissue elasticity, offering valuable insights into the mechanical properties of biological tissues. However, the application of real-time SWE in the musculoskeletal system and sports medicine has not been extensively studied. AIM: To explore the practical value of real-time SWE for assessing Achilles tendon hardness in older adults. METHODS: A total of 60 participants were enrolled in the present study, and differences in the elastic moduli of the bilateral Achilles tendons were compared among the following categories: (1) Age: 55-60, 60-65, and 65-70-years-old; (2) Sex: Male and female; (3) Laterality: Left and right sides; (4) Tendon state: Relaxed and tense state; and (5) Tendon segment: Proximal, middle, and distal. RESULTS: There were no significant differences in the elastic moduli of the bilateral Achilles tendons when comparing by age or sex (P > 0.05). There were, however, significant differences when comparing by tendon side, state, or segment (P < 0.05). CONCLUSION: Real-time SWE plays a significant role compared to other examination methods in the evaluation of Achilles tendon hardness in older adults.

Calculation of Porosity and CO2 Content in CO2-Bearing Gas Formations Based on Density and Neutron Logging Forward and Inverse Methods.

When the gas reservoir contains CO2, the logging response tends to be complex. When calculating porosity with neutron and density curves, the accuracy of porosity calculation is reduced due to the uncertainty of fluid parameters, which in turn affects the evaluation of CO2 content. It increases the uncertainty of reserve evaluation. In this paper, a forward modeling model of density logging is established based on the equivalent volume model, and the method of neutron logging is formed by putting forward the nonlinear formula of the reciprocal of the comprehensive deceleration length. The key parameters and their variation rules of neutron logging and density logging forward modeling under different temperature and pressure conditions are obtained by experimental means and Monte Carlo method, respectively. The variation law of the influence of different CO2 content on neutron logging and density logging curves is simulated. The research shows that with the increase of CO2 content, the neutron logging value of gas reservoir decreases, while the density logging value increases, and the greater the porosity of gas reservoir, the more obvious this change trend is. Compared with CH4, CO2 has a more significant impact on the excavation effect of neutron logging. On this basis, combined with the conductivity model of the study area, the porosity and CO2 content of CO2 bearing gas reservoir are solved by the least-square method. The practice shows that the relative error of porosity calculation is within ±4% and the error of CO2 content calculation is within ±10%, which proves the reliability of this method.

LncRNA-MM2P regulates retinal neovascularization through M2 macrophage polarization.

The study aims to investigate the effects and potential mechanisms of lncRNA-MM2P on retinal neovascularization in a mouse model of oxygen-induced retinopathy (OIR). The OIR model was established in C57BL/6J mice. RAW264.7 cell line and bone marrow-derived macrophages (BMDMs) from mice were used for in vitro studies. RT-qPCR was used to analyze the expressions of lncRNA and mRNAs. The protein expression levels were determined by western blotting. The size of avascular areas and neovascular tufts were assessed based on isolectin B4 immunofluorescence staining images. The human retinal endothelial cells (HRECs) were used to evaluate the proliferation, migration, and tube formation of endothelial cells. The expression of lncRNA-MM2P was significantly upregulated from P17 to P25 in OIR retinas. Knockdown of lncRNA-MM2P levels in vivo led to a significant reduction in the neovascular tufts and avascular areas in the retinas of OIR mice. Knockdown of lncRNA-MM2P levels in vitro suppressed the expression of M2 markers in macrophages. Moreover, we found a significant inhibition of avascular areas and neovascular tufts in OIR mice injected intravitreally with M2 macrophages treated by shRNA-MM2P. The cellular functions of proliferation, migration, and tube formation were significantly attenuated in HRECs cultured with a supernatant of shRNA-MM2P-treated M2 macrophages. Our results indicate that lncRNA-MM2P regulates retinal neovascularization by inducing M2 polarization of macrophages in OIR mice. Therefore, lncRNA-MM2P may be a potential molecular target for immunoregulation of retinal neovascularization.

Isomer of per- and polyfluoroalkyl substances and red blood cell indices in adults: The Isomers of C8 Health Project in China.

This study aimed to explore the isomer-specific, sex-specific, and joint associations of PFAS and red blood cell indices. We used data of 1,238 adults from the Isomers of C8 Health Project in China. Associations of PFAS isomers and red blood cell indices were explored using multiple linear regression models, Bayesian Kernel Machine Regression models and subgroup analysis across sex. We found that serum concentration of linear (n-) and branched (Br-) isomers of perfluorooctane sulfonate (PFOS) and perfluorohexanesulfonic acid (PFHxS) were significantly associated with red blood cell indices in single-pollutant models, with stronger associations observed for n-PFHxS than Br-PFHxS, in women than in men. For instance, the estimated percentage change in hemoglobin concentration for n-PFHxS (3.65%; 95% CI: 2.95%, 4.34%) was larger than that for Br-PFHxS (0.96%; 95% CI: 0.52%, 1.40%). The estimated percentage change in red blood cell count for n-PFHxS in women (2.55%; 95% CI: 1.81%, 3.28%) was significantly higher than that in men (0.12%; 95% CI: -1.04%, 1.29%) (Pinter < 0.001). Similarly, sex-specific positive association of PFAS mixture and outcomes was observed. Therefore, the structure, susceptive population, and joint effect of PFAS isomers should be taken into consideration when evaluating the health risk of chemicals.

Biomass-inspired fabrication of eco-friendly, durable flame retardant and ultraviolet resistant lyocell fabric.

The pursuit of environmental friendliness, efficiency, and durability is paramount in the realm of flame retardant textile modification. Therefore, an innovative approach was designed to develop a gallic acid-derived intumescent flame retardant (GADPP), which contained reactive (-P(=O)(O-NH4+)2) and (-P(=O)(OCH2CH3)2) groups, facilitating functional modification of lyocell fabric. The GADPP modification effectively improved both flame retardancy and ultraviolet (UV) resistance of lyocell fabric. Fourier transform infrared spectroscopy, X-ray photoelectron spectroscopy, and scanning electron microscopy has substantiated the uniform distribution and covalent bond grafting of GADPP onto the fabric. Remarkably, even after 50 laundering cycles (LCs), the limiting oxygen index and UV protection factor values of lyocell fabric modified with 30 wt% GADPP remained at 29.8 % and 117.69, respectively. These results highlighted the synergistic effect of GADPP on enhancing the flame retardancy and UV resistance of lyocell fabric. Furthermore, this multi-functional modification strategy provides a sustainable path for the enduring enhancement of flame retardant and UV protective properties in lyocell fabrics.

Rapid Remission With Upadacitinib in a Child With Refractory Crohn's Disease and ATM Mutation: A Case Report.

Managing pediatric Crohn's disease (PCD) presents challenges due to severe complications and higher biologic therapy needs. Transitioning from anti-tumor necrosis factor agents to off-label therapies adds complexity. Although upadacitinib has demonstrated efficacy and tolerability in adult inflammatory bowel disease and pediatric atopic dermatitis, there are limited data for its application in PCD. This case report delineates successful remission with upadacitinib in a child with CD refractory to infliximab, ustekinumab, adalimumab, thalidomide, and prednisone. Notably, the patient carried an ataxia telangiectasia mutated (ATM) gene mutation. These findings provide valuable evidence for PCD management and highlight the potential benefits of upadacitinib in this population.

Oncologic Applications of Artificial Intelligence and Deep Learning Methods in CT Spine Imaging-A Systematic Review.

In spinal oncology, integrating deep learning with computed tomography (CT) imaging has shown promise in enhancing diagnostic accuracy, treatment planning, and patient outcomes. This systematic review synthesizes evidence on artificial intelligence (AI) applications in CT imaging for spinal tumors. A PRISMA-guided search identified 33 studies: 12 (36.4%) focused on detecting spinal malignancies, 11 (33.3%) on classification, 6 (18.2%) on prognostication, 3 (9.1%) on treatment planning, and 1 (3.0%) on both detection and classification. Of the classification studies, 7 (21.2%) used machine learning to distinguish between benign and malignant lesions, 3 (9.1%) evaluated tumor stage or grade, and 2 (6.1%) employed radiomics for biomarker classification. Prognostic studies included three (9.1%) that predicted complications such as pathological fractures and three (9.1%) that predicted treatment outcomes. AI's potential for improving workflow efficiency, aiding decision-making, and reducing complications is discussed, along with its limitations in generalizability, interpretability, and clinical integration. Future directions for AI in spinal oncology are also explored. In conclusion, while AI technologies in CT imaging are promising, further research is necessary to validate their clinical effectiveness and optimize their integration into routine practice.

Efficient protein extraction for assessing food allergy risk in complex alternative protein matrices.

Allergy to novel food proteins, due to diverse ingredients and innovative food processing technologies employed to achieve desired functional properties, is a major safety concern. Current allergy testing methods (ELISA and mass spectrometry) depend on high-quality protein extracts, meaning existing methods are often tailored to specific matrices. Therefore, a more efficient and general protein extraction method is desirable for comprehensive allergy risk assessment. Here, we developed a highly efficient and reproducible protein extraction method which achieved at least 80 % efficiency across several food matrices. Proteomics analysis of a plant-based meat using our optimized extraction method showed that higher extraction efficiency improved reproducibility of identified proteins. Moreover, higher protein extraction efficiency resulted in increased abundances of individual allergenic proteins. This underscores the relevance of our method for more accurate measurements of allergenic protein concentrations in allergy risk assessments.

Developing flame retardant, smoke suppression and self-healing polyvinyl alcohol composites by dynamic reversible cross-linked chitosan-based macromolecule.

With the increasing threat of white pollution to the public health and ecosystem, functional materials driven by green and sustainable biological macromolecule are attracting considerable attention. Inspired by the double-helix structure of DNA, a P-B-N ternary synergistic chitosan-based macromolecule (PBCS) was constructed to prepare flame retardant, smoke suppression and self-healing polyvinyl alcohol composite (PVA@PBCS) via dynamic reversible interactions. The limiting oxygen index value of PVA@PBCS increased from 19.6 % to 28.7 %, whereas the peak heat release rate and total heat release decreased by 47.04 % and 43.37 %, respectively. Besides, the peak smoke production rate and total smoke production of PVA@PBCS also decreased by 45.31 % and 54.98 %. With the presence of borate ester-based covalent and multiple hydrogen bonds, the tensile strength and elongation at break of PVA@PBCS increased by 19.50 % and 16.85 % compared to the control sample, and the healing efficiency for tensile strength and elongation at break was as high as 93.86 % and 90.57 %, respectively. This work developed an eco-friendly and effective scenario for fabricating flame retardant and smoke suppression PVA materials, stimulating the substantial potential of chitosan-based biomacromolecule and dynamic reversible cross-linked tactics in self-healing field.

Applications of Artificial Intelligence and Machine Learning in Spine MRI.

Diagnostic imaging, particularly MRI, plays a key role in the evaluation of many spine pathologies. Recent progress in artificial intelligence and its subset, machine learning, has led to many applications within spine MRI, which we sought to examine in this review. A literature search of the major databases (PubMed, MEDLINE, Web of Science, ClinicalTrials.gov) was conducted according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. The search yielded 1226 results, of which 50 studies were selected for inclusion. Key data from these studies were extracted. Studies were categorized thematically into the following: Image Acquisition and Processing, Segmentation, Diagnosis and Treatment Planning, and Patient Selection and Prognostication. Gaps in the literature and the proposed areas of future research are discussed. Current research demonstrates the ability of artificial intelligence to improve various aspects of this field, from image acquisition to analysis and clinical care. We also acknowledge the limitations of current technology. Future work will require collaborative efforts in order to fully exploit new technologies while addressing the practical challenges of generalizability and implementation. In particular, the use of foundation models and large-language models in spine MRI is a promising area, warranting further research. Studies assessing model performance in real-world clinical settings will also help uncover unintended consequences and maximize the benefits for patient care.

A fluorimetric and colorimetric dual-mode sensor based on N, S co-doped carbon dots functionalized silver nanoparticles for glucose detection.

A fluorescent-colorimetric dual-signal platform, N, S co-doped carbon dots functionalized silver nanoparticles (NS-CDs-AgNPs), was designed in situ by reducing AgNO3 in the presence of N, S co-doped carbon dots (NS-CDs) under the assistance of microwave irradiation for glucose determination. With the formation of silver nanoparticles (AgNPs), the intrinsic fluorescence of NS-CDs was quenched, showing the fluorescence state was off. Whereas the fluorescence of NS-CDs can be switched on when a trace amount of H2O2 was added. Based on this novel phenomenon, the peroxidase-like activity of NS-CDs-AgNPs by using 3,3',5,5'-tetramethylbenzidine (TMB) chromogen and H2O2 as substrates was evaluated. The Km values of the prepared probe for H2O2 and TMB were 0.84 mM and 0.01 mM with the Vm of 6.65 × 10-8 M S-1 and 3.01 × 10-8 M S-1, respectively. The results showed that NS-CDs-AgNPs had good peroxidase-like activity and strong affinity to TMB and H2O2. It confirmed that there is a redox interaction between AgNPs and H2O2, and H2O2 can oxidize Ag to produce Ag+, which is the main reason that the fluorescence of NS-CDs-AgNPs can be activated by H2O2. The hydroxyl radical (·OH) was formed in the process of reaction, which can further oxidize TMB for color reaction. Meanwhile, glucose can be oxidized to produce H2O2 in the presence of glucose oxidase (GOx). Based on the phenomenon, a fluorimetric and colorimetric dual-mode sensor for glucose detection was established. Satisfactory results were obtained with the linear range of 0.1-80 µM for fluorimetric mode and 0.5-5 µM for colorimetric mode, respectively. Additionally, the LOD was below 0.32 µM and 0.21 µM, respectively. The method was successfully applied to determine the glucose in human serum with satisfactory recovery and RSD.

Salvage Cryoablation for Recurrent Prostate Cancer Following Radiation-A Comprehensive Review.

The treatment options for prostate cancer typically entail active surveillance, surgery, radiation, or a combination of the above. Disease recurrence remains a concern, with a wide range of recurrence rates having been reported in the literature. In the setting of recurrence, the salvage treatment options include salvage prostatectomy, salvage high-intensity focused ultrasound (HIFU), stereotactic body radiotherapy (SBRT), salvage brachytherapy, and salvage cryoablation. In this review, we analyze the currently available data related to salvage cryoablation for recurrent prostate cancer following radiation.

Efficacy of hyperbaric oxygen therapy as an adjunct therapy in the treatment of sleep disorders among patients with Parkinson's disease: a meta-analysis.

Objective: To systematically evaluate the efficacy of hyperbaric oxygen therapy (HBOT) as an adjunct therapy for treating sleep disorders in patients with Parkinson's disease (PD). Methods: We conducted comprehensive searches in eight databases from inception through September 2023, including PubMed, Cochrane Library, Embase, Web of Science, SinoMed, China National Knowledge Infrastructure (CNKI), China Science and Technology Periodical Database (VIP), and Wanfang Database. The objective was to identify randomized controlled trials (RCTs) evaluating HBOT's effectiveness in alleviating sleep disorder symptoms in PD patients as an adjunct therapy. Literature screening and data extraction were independently executed by the authors. Meta-analyses were performed using Review Manager 5.3 software, and publication bias and sensitivity analyses were assessed using Stata 17.0 software. Results: Seven RCTs involving 461 participants were included. The findings revealed that the addition of HBOT significantly enhanced sleep efficiency (MD = 15.26, 95% CI [10.89, 19.63], p < 0.00001), increased time in bed (MD = 69.65, 95% CI [43.01, 96.30], p < 0.00001), total sleep time (MD = 75.87, 95% CI [25.42, 126.31], p = 0.003), slow-wave sleep (SWS) time (MD = 6.14, 95% CI [3.95, 8.34], p < 0.00001), and rapid eye movement sleep (REM) time (MD = 4.07, 95% CI [2.05, 6.08], p < 0.0001), and reduced awakening frequency (MD = -11.55, 95% CI [-15.42, -7.68], p < 0.00001) and sleep latency (MD = -6.60, 95% CI [-9.43, -3.89], p < 0.00001). Additionally, significant improvements were observed in the Pittsburgh Sleep Quality Index (PSQI) (MD = -2.52, 95% CI [-2.85, -2.18], p < 0.00001), Epworth Sleepiness Scale (ESS) (MD = -2.90, 95% CI [-3.34, -2.47], p < 0.00001), Unified Parkinson's Disease Rating Scale Part III (UPDRS III) (MD = -1.32, 95% CI [-2.16, -0.47], p = 0.002), and Hoehn and Yahr grading (H-Y grading) (MD = -0.15, 95% CI [-0.28, -0.01], p = 0.03). Conclusion: The current meta-analysis supports the efficacy of HBOT as an adjunct therapy in managing sleep disorders in PD patients. It is recommended for PD patients experiencing sleep disturbances.Systematic review registration:https://www.crd.york.ac.uk/, identifier: CRD42023462201.

Single-cell RNA sequencing in diabetic kidney disease: a literature review.

Diabetic kidney disease (DKD) is the leading cause of end-stage renal disease (ESRD), and its pathogenesis has not been clarified. Current research suggests that DKD involves multiple cell types and extra-renal factors, and it is particularly important to clarify the pathogenesis and identify new therapeutic targets. Single-cell RNA sequencing (scRNA-seq) technology is high-throughput sequencing of the transcriptomes of individual cells at the single-cell level, which is an effective technology for exploring the development of diseases by comparing genetic information, reflecting the differences in genetic information between cells, and identifying different cell subpopulations. Accumulating evidence supports the role of scRNA-seq in revealing the pathogenesis of diabetes and strengthening our understanding of the molecular mechanisms of DKD. We reviewed the scRNA-seq data this time. Then, we analyzed and discussed the applications of scRNA-seq technology in DKD research, including annotation of cell types, identification of novel cell types (or subtypes), identification of intercellular communication, analysis of cell differentiation trajectories, gene expression detection, and analysis of gene regulatory networks, and lastly, we explored the future perspectives of scRNA-seq technology in DKD research.

Green Synthesis and Chemical Characterization of Silver Nanoparticles by Tribulus terrestris for the Treatment of Myocardial Infarction.

Silver nanoparticles (AgNPs) are commonly utilized in the medical sector, particularly in cardiovascular applications. Nevertheless, there is a studies scarcity examining the impact of AgNPs on myocardial infarction protection. A green formulation of AgNPs was documented in the research. Different spectroscopic methods were utilized to examine the AgNPs, and their potential for treating myocardial infarction was explored. The NPs exhibited a spherical morphology upon formation. Isoproterenol (85 mg/kg) was administered to induce myocardial infarction in mice. The mice were categorized into four distinct groups (n = 15): (1) untreated; (2) normal; (3,4) AgNPs + isoproterenol at various doses (5 and 50 µg/kg). The activation of PPAR-Υ/NF-κB and subsequent cytokine release induced by lipopolysaccharide were quantified using real-time PCR and western blot techniques. Subsequent to the administration of AgNPs at different doses, the evaluation of cardiac function was conducted through biochemical, histochemical, and electrocardiogram (ECG) analysis. AgNPs significantly inhibit the levels of myocardial injury markers, reduce the incidence of mortality, and improve the condition of ventricular wall infarction. In addition, the administration of AgNPs effectively prevents the characteristic ST segment depression when compared to animals with myocardial infarction. The positive effects of AgNPs could potentially be attributed to the restoration of normal gene expression in PPAR-Υ/NF-κB/ΙκB-α/ΙΚΚα/ß and PPAR-Υ phosphorylation pathways. Additionally, the application of AgNPs led to a reduction in the levels of pro-inflammatory cytokines in the hearts of mice suffering from myocardial infarction. The expression suppression of inflammation cytokines and cell death was significantly reduced by AgNPs. Recent findings suggest that AgNPs possess cardioprotective properties on isoproterenol-induced myocardial infarction, possibly by the inhibition of NF-κB signaling and activation of PPAR-γ. To summarize, the present study introduces a contemporary therapeutic approach for treating myocardial infarction in clinical settings.

Patients with venous leg ulcers can be managed safely in the community ----results of an observational comparison study in Singapore.

AIM: To examine the healing outcomes of patients with venous leg ulcers requiring compression bandaging in community care versus tertiary care. METHOD: This was an analytical observational cohort study. Venous leg ulcer (VLU) patients who required compression bandaging were recruited from an outpatient vascular clinic between May 2021 and August 2022. Eligible patients received two-or four-layer compression bandaging and followed up with the community care or tertiary care centre nurses. The primary outcome was the difference in the total surface area of the VLU after 12 weeks, and the secondary outcome was the patient's quality of life, as measured by the Cardiff Wound Impact Schedule (CWIS). RESULTS: Forty-seven VLU patients were recruited; 27 received compression bandaging in the community care and 20 by the tertiary care centre. Mean age 70 years old (SD 11.04). The two most prevalent comorbidities were hypertension (51.06 %) and diabetes mellitus (38.29 %). Among those who completed follow-up (12 weeks), the median difference of the total surface area of the VLU between community-based care (p = 0.02) versus tertiary-based care (0.003) was significant. However, there was no difference in the healing status between community and tertiary-based care (p = 0.68). There was no difference in the quality of life of patients between groups. CONCLUSION: This first tropical study comparing VLU healing outcomes between community and tertiary care found no significant difference in healing with compression bandaging by nurses in either setting. However, the small sample size and high dropout rate limit the generalizability of the findings, necessitating a larger-scale study with longer follow-up. Despite these limitations, the study is a crucial step toward improving wound care services in Singapore, and highlights the need for further research to guide future community wound care implementation.