The AGE-RAGE axis associates with chronic pulmonary diseases and smoking in the Rotterdam study.

BACKGROUND: Chronic obstructive pulmonary disease (COPD) and asthma associate with high morbidity and mortality. High levels of advanced glycation end products (AGEs) were found in tissue and plasma of COPD patients but their role in COPD and asthma is unclear. METHODS: In the Rotterdam Study (n = 2577), AGEs (by skin autofluorescence (SAF)), FEV1 and lung diffusing capacity (DLCOc and DLCOc /alveolar volume [VA]) were measured. Associations of SAF with asthma, COPD, GOLD stage, and lung function were analyzed using logistic and linear regression adjusted for covariates, followed by interaction and stratification analyses. sRAGE and EN-RAGE associations with COPD prevalence were analyzed by logistic regression. RESULTS: SAF associated with COPD prevalence (OR = 1.299 [1.060, 1.591]) but not when adjusted for smoking (OR = 1.106 [0.89, 1.363]). SAF associated with FEV1% predicted (ß=-3.384 [-4.877, -1.892]), DLCOc (ß=-0.212 [-0.327, -0.097]) and GOLD stage (OR = 4.073, p = 0.001, stage 3&4 versus 1). Stratified, the association between SAF and FEV1%predicted was stronger in COPD (ß=-6.362 [-9.055, -3.670]) than non-COPD (ß=-1.712 [-3.306, -0.118]). Association of SAF with DLCOc and DLCOc/VA were confined to COPD (ß=-0.550 [-0.909, -0.191]; ß=-0.065 [-0.117, -0.014] respectively). SAF interacted with former smoking and COPD prevalence for associations with lung function. Lower sRAGE and higher EN-RAGE associated with COPD prevalence (OR = 0.575[0.354, 0.931]; OR = 1.778[1.142, 2.768], respectively). CONCLUSIONS: Associations between SAF, lung function and COPD prevalence were strongly influenced by smoking. SAF associated with COPD severity and its association with lung function was more prominent within COPD. These results fuel further research into interrelations and causality between SAF, smoking and COPD. TAKE-HOME MESSAGE: Skin AGEs associated with prevalence and severity of COPD and lung function in the general population with a stronger effect in COPD, calling for further research into interrelations and causality between SAF, smoking and COPD.

Advanced glycation end products measured by skin autofluorescence and subclinical cardiovascular disease: the Rotterdam Study.

BACKGROUND: Advanced glycation end products (AGEs) have been linked to cardiovascular disease (CVD), especially coronary heart disease (CHD), but their role in CVD pathogenesis remains unclear. Therefore, we investigated cross-sectional associations of skin AGEs with subclinical atherosclerosis, arterial stiffness, and hypertension after confirming their relation with CHD. METHODS: In the population-based Rotterdam Study, skin AGEs were measured as skin autofluorescence (SAF). Prevalent MI was obtained from digital medical records. Carotid plaques, carotid intima-media thickness (IMT), coronary artery calcification (CAC), pulse wave velocity (PWV), and hypertension were assessed. Associations of SAF with endophenotypes were investigated in logistic and linear regression models adjusting for common cardiovascular risk factors. Effect modification by sex, diabetes mellitus, and chronic kidney disease (CKD) was tested. RESULTS: 3001 participants were included (mean age 73 (SD 9) years, 57% women). One unit higher SAF was associated with the presence of carotid plaques (OR 1.2 (0.92, 1.57)), a higher max IMT (0.08 SD (0.01, 0.15)), higher CAC (OR 2.2 (1.39, 3.48)), and PWV (0.09 SD (0.01, 0.16)), but not with hypertension (OR 0.99 (0.81, 1.21)). The associations with endophenotypes were more pronounced in men and participants with diabetes or CKD with significant interactions. CONCLUSIONS: Previously documented associations between SAF and CVD, also found in our study, may be explained by the endophenotypes atherosclerosis and arterial stiffness, especially in men and individuals with diabetes or CKD, but not by hypertension. Longitudinal studies are needed to replicate these findings and to test if SAF is an independent risk factor or biomarker of CVD. TRIAL REGISTRATION: The Rotterdam Study has been entered into the Netherlands National Trial Register (NTR; www.trialregister.nl ) and the WHO International Clinical Trials Registry Platform (ICTRP; www.who.int/ictrp/network/primary/en/ ) under shared catalogue number NTR6831.

Gut microbiota affects pancreatic fibrotic progression through immune modulation in chronic pancreatitis.

Chronic pancreatitis (CP) is characterized by chronic progressive pancreatic inflammation, which leads to the permanent damage of exocrine and endocrine cells. CP causes irreversible morphological and functional changes, and the clinical manifestations includes abdomen pain, steatorrhea and diabetes. CP induces changes in the composition of gut microbiota that could be used as potential biomarkers for pancreatic fibrosis evaluation. Gut microbiota has emerged as key regulator of immunomodulation and gut microbiota-induced immune activation has not been explored in CP. In current study, we profiled gut microbial signatures in mouse CP model, and found that higher proportion of Streptomyces, Turicibacter, Methylobacterium, Enterococcus and Candidatus_Paenicardiniummore were positively associated with the occurrence of pancreatic fibrosis. We then identified increased CD3+T cells and macrophage infiltration in mouse and human CP tissues by transcriptome sequencing data from GEO database. Subsequently, we demonstrated that fecal microbiota transplantation (FMT) from CP mouse (FMT-CP) exacerbated pancreatic fibrosis by increasing CD4+T cells and macrophage infiltration compared to fecal samples obtained from healthy mouse donor (FMT-HC). Our study describes the link between gut microbiota dysbiosis and immune activation in pancreatic fibrotic progression, and highlights the potential therapeutic roles of FMT and CP treatment.

Uncertain futures: climate change and international student mobility in Europe.

The rapid growth of international student mobility has attracted much research on the many benefits it offers to students, higher education institutions, and societies in general. However, studies on the costs and potential tribulations caused by mobility are comparatively rare, despite increasing evidence of such costs inherent in the marketization of higher education. Furthermore, the few existing studies are predominantly framed in terms of consumerism and the commodification of education, but they give less attention to mobility in the context of wider social issues. The climate crisis is foremost among such social impacts, with the extensive air travel inherent in global mobility patterns causing significant damage, combined with curricula, pedagogies, and institutional strategy that are either ambivalent or contradictory on the climate crisis. This paper examines international student mobility in European higher education to better understand how the environmental costs of higher education can be conceptualized in policy and practice. It contrasts policies and practices that promote international student mobility in Europe-in which mobility has aspects of what are commonly referred to as "public goods"-with initiatives that promote mobility to Europe, which illustrate a historic and ongoing entanglement between European colonialism, higher education, and climate change. It concludes with reflections on possibilities for greater sustainability in international student mobility in Europe.

Family of Nanoclusters, Ln33 (Ln = Sm/Eu) and Gd32, Exhibiting Magnetocaloric Effects and Fluorescence Sensing for MnO4.

A family of nanoclusters, [Ln33(EDTA)12(OAc)2(CO3)4(µ3-OH)36(µ5-OH)4(H2O)38]·OAc·xH2O (x ≈ 50, Ln = Sm for 1; x ≈ 70, Ln = Eu for 2) and [Gd32(EDTA)12(OAc)2(C2O4)(CO3)2(µ3-OH)36(µ5-OH)4(H2O)36]·x(H2O) (x ≈ 70 for 3; H4EDTA = ethylene diamine tetraacetic acid), was prepared through the assembly of repeating subunits under the action of an anion template. The analysis of the structures showed that compounds 1 and 2 containing 33 Ln3+ ions were isostructural, which were constructed by three kinds of subunits in the presence of CO32- as an anion template, while compound 3 had a slightly different structure. Compound 3 containing 32 Gd3+ ions was formed by three types of subunits in the presence of CO32- and C2O42- as a mixed anion template. The CO32- anions came from the slow fixation of CO2 in the air. Meanwhile, one kind of high-nuclearity lanthanide clusters showed high chemical stability. The quantum Monte Carlo (QMC) calculation suggested that weak antiferromagnetic interactions were dominant between Gd3+ ions in 3. Magnetocaloric studies showed that compound 3 had a large entropy change of 43.0 J kg-1 K-1 at 2 K and 7 T. Surprisingly, compound 2 showed excellent recognition and detection effects for permanganate in aqueous solvents based on the fluorescence quenching phenomenon.

Crop Mapping Using the Historical Crop Data Layer and Deep Neural Networks: A Case Study in Jilin Province, China.

Machine learning combined with satellite image time series can quickly, and reliably be implemented to map crop distribution and growth monitoring necessary for food security. However, obtaining a large number of field survey samples for classifier training is often time-consuming and costly, which results in the very slow production of crop distribution maps. To overcome this challenge, we propose an ensemble learning approach from the existing historical crop data layer (CDL) to automatically create multitudes of samples according to the rules of spatiotemporal sample selection. Sentinel-2 monthly composite images from 2017 to 2019 for crop distribution mapping in Jilin Province were mosaicked and classified. Classification accuracies of four machine learning algorithms for a single-month and multi-month time series were compared. The results show that deep neural network (DNN) performed the best, followed by random forest (RF), then decision tree (DT), and support vector machine (SVM) the least. Compared with other months, July and August have higher classification accuracy, and the kappa coefficients of 0.78 and 0.79, respectively. Compared with a single phase, the kappa coefficient gradually increases with the growth of the time series, reaching 0.94 in August at the earliest, and then the increase is not obvious, and the highest in the whole growth cycle is 0.95. During the mapping process, time series of different lengths produced different classification results. Wetland types were misclassified as rice. In such cases, authors combined time series of two lengths to correct the misclassified rice types. By comparing with existing products and field points, rice has the highest consistency, followed by corn, whereas soybeans have the least consistency. This shows that the generated sample data set and trained model in this research can meet the crop mapping accuracy and simultaneously reduce the cost of field surveys. For further research, more years and types of crops should be considered for mapping and validation.

Lattice complex assembled by noncompetitive anti-EGFR antibodies regulates actin cytoskeletal reorganization.

BACKGROUND: Recent evidence of clinical trials highlights that the combination of two noncompetitive anti-EGFR antibodies can benefit patients with several cancers. Previous studies propose that a lattice complex assembled by antibodies and EGFR down-regulates surface EGFR by rapid internalization of the complex. However, there remains a paucity of evidence and understanding on the existence of a lattice complex on cell surface and its cellular processes of internalization. METHODS: Herein, we used three dimensions structured illumination microscopy to directly observe the actual morphology of the lattice complex formed on Hela cell membrane after noncompetitive anti-EGFR antibody combinations, and we explored the internalized mechanism of noncompetitive antibody combinations by constructing a PIP2 consumption system. RESULT: We observed the lattice complex (length > 1 µm) on the surface of living cell after preincubation with Cetuximab and H11, but combination of Cetuximab and single domain antibody 7D12 fails to assemble the lattice, these results demonstrates the importance of symmetrical structure of conventional antibody for lattice formation. Interestingly, the lattice complex assembles along with cytoskeletal fibers, and its internalization recruits a large amount of PIP2 and triggers the rearrangement of F-actin. CONCLUSIONS: The above data suggests that large-size lattice complex affects membrane fluidity and dynamic reorganization of cytoskeletal, which may be responsible for its rapid internalization. These new insight will aid in current rational combination design of anti-EGFR antibodies.

Lithium ion detection in liquid with low detection limit by laser-induced breakdown spectroscopy.

Lithium (Li), as the lightest metal and the most important powerful material in battery fabrication, is widely used in many fields. The fast detection of Li is necessary for industrial application. The slow-speed detection methods, including atomic absorption spectroscopy and inductively coupled plasma mass spectroscopy with high accuracy and low limit of detection, are hard to utilize in in situ industrial control due to complex prepreparation of samples. Here, through the analysis of the typical spectrum line at Li I 670.79 nm, Li ions in water were detected quantitatively in 1 min, including sample preparation by laser-induced breakdown spectroscopy (LIBS) with filter paper as the adsorption substrate. The calibration curve by polynomial function fitting is used to predict the Li+ concentration. The limit of detection (LOD) as low as 18.4 ppb is obtained, which is much lower than the results ever reported by using filter paper. The related factor R2 reaches 99%, and the prediction error is lower than 2%, proving the fast and online monitor for Li+ by LIBS is feasible. Furthermore, by comparison with the results with filter paper enrichment, the Li+ detection from water directly shows higher LOD to 10.5 ppm. Moreover, the plasma images, by gate-controlled intensified charge-coupled device, illustrate a different morphology and evolution between that on water surface and filter paper surface through visual observation. This study provides experimental and theoretical experience in a fast way for the quantitative detection of the lightest metal ion (Li+) in liquid.

Entertainment activities and the risk of Alzheimer's disease: a Mendelian randomization analysis.

Background: Effective prevention is key to addressing the increasing prevalence and mortality of Alzheimer's disease. Assessing the causal relationship between modifiable entertainment activity factors and the risk of Alzheimer's disease is important for developing public health measures, but establishing causal relationships in epidemiological data may be challenging. Methods: This study using the two-sample Mendelian randomization analysis aimed to investigate the causal effect of entertainment activity factors on the risk of Alzheimer's disease. Summary statistics from publicly available genome-wide association studies were used to analyze 14 modifiable entertainment activity. The inverse variance weighted random effects method as the primary analytical method to estimate causal effects was used. Additionally performed MR-Egger, weighted median and weighted model methods to assess the robustness of the results. The reliability of our findings was validated through systematic sensitivity analyses and tests for heterogeneity. Results: We found significant correlation between time spent using computer (odds ratio 0.998; 95% confidence interval 0.996-0.999; p = 0.013) and Alzheimer's disease, compared to other studied entertainment activities that had no significant causal relationship with Alzheimer's disease. Conclusion: Our findings support the hypothesis that increased computer use may reduce the risk of Alzheimer's disease, providing potential strategic directions for the prevention of neurodegenerative diseases.

Identification of EMT-associated prognostic features among grade II/III gliomas.

Grade II/III gliomas have a highly heterogeneous clinical course. Identifying prognostic biomarkers in grade II/III gliomas is essential to guide clinical management. We explored epithelial-mesenchymal transition (EMT)-related genes to uncover prognostic features in grade II/III gliomas. Consensus cluster analysis of 200 EMT-related genes classified 512 grade II/III glioma samples into two molecular subtypes, C1 and C2. The C1 subtype had significantly worse overall survival compared to the C2 subtype. Pathway analysis revealed C1 tumors were highly associated with tumor progression pathways and demonstrated higher immune cell infiltration scores. Differential expression analysis identified four genes (ACTN1, AQP1, LAMC3, NRM) that discriminated the two subtypes. Validation in external datasets confirmed that high expression of this four-gene signature predicted poor prognosis in grade II/III gliomas. Cellular experiments showed ACTN1, AQP1 and NRM promoted glioma cell proliferation, migration and invasion. We examined correlations of the signature genes with T cell exhaustion markers and found ACTN1 expression had the strongest association. Immunohistochemistry analysis further demonstrated that ACTN1 protein expression in grade II/III gliomas was negatively correlated with patient overall survival. In summary, our study identified a concise four-gene signature that robustly predicts grade II/III gliomas prognosis across multiple datasets. The signature provides clinical relevance in distinguishing more aggressive grade II/III glioma tumors. Targeting the ACTN1, AQP1 and NRM genes may offer new therapeutic opportunities to improve grade II/III gliomas patient outcomes.

Effect of the Step-Jump Approach in Infected Pancreatic Necrosis: A Propensity Score-Matched Study.

Purpose: The effects of the step-jump approach on the survival and prognosis of infected pancreatic necrosis (IPN) patients have not yet been determined. Patients and Methods: Between November 2018 and June 2023, 188 patients were included in this study. There were 144 patients in the step-up group (the SU group) and 44 in the step-jump group (the SJ group). In the SU group, patients successfully treated with percutaneous catheter drainage (PCD) alone were classified into the SU-1 group (n=101), while those requiring additional surgery after PCD were categorized into the SU-2 group (n=43). In the SJ group, patients who underwent minimally invasive necrosectomy (MIN) without PCD were assigned to the SJ-1 group (n=34), whereas those who initially underwent PCD followed by immediate open surgery were placed in the SJ-2 group (n=10). Propensity score matching (PSM) was used to mitigate bias. Results: After PSM, a total of 34 pairs were successfully matched. A comparison of the SU group with the SJ-1 group (upfront MIN without PCD) revealed similar mortality rates (P=0.239); however, the incidences of multiple drug-resistant organisms (MDROs) (P=0.029) and surgical complications (P<0.001) were significantly lower in the SJ-1 group. After comparing the SU-2 and SJ-2 groups (patients who underwent direct open necrosectomy without MIN after PCD failure), the incidences of surgical complications and MDRO in the SJ-2 group were significantly lower (P<0.05). Conclusion: Compared with the step-up approach, the step-jump approach is safer and more effective and can significantly reduce the incidence of MDRO and surgical complications.

A framework for decolonising and diversifying biomedical sciences curricula: rediscovery, representation and readiness.

To date, most efforts to decolonise curricula have focussed on the arts and humanities, with many believing that science subjects are objective, unbiased, and unaffected by colonial legacies. However, science is shaped by both contemporary and historical culture. Science has been used to support imperialism, to extract and exploit knowledge and natural resources, and to justify racist and ableist ideologies. Colonial legacies continue to affect scientific knowledge generation and shape contemporary research priorities. In the biomedical sciences, research biases can feed into wider health inequalities. Reflection of these biases in our taught curricula risks perpetuating long-standing inequities to future generations of scientists. We examined attitudes and understanding towards decolonising and diversifying the curriculum among students and teaching staff in the biomedical sciences at the University of Bristol, UK, to discover whether our current teaching practice is perceived as inclusive. We used a mixed methods study including surveys of staff (N = 71) and students (N = 121) and focus groups. Quantitative data showed that staff and students think decolonising the curriculum is important, but this is more important to female respondents (P < 0.001). Students are less aware than staff of current efforts to decolonise the curriculum, while students from minority ethnic groups feel less represented by the curriculum than white students. Thematic analysis of qualitative data revealed three themes that are important for a decolonised curriculum in our context: rediscovery, representation and readiness. We propose that this '3Rs framework' could guide future efforts to decolonise and diversify the curriculum in the biomedical sciences and beyond.

Skin autofluorescence, reflecting accumulation of advanced glycation end products, and the risk of dementia in a population-based cohort.

Conditions such as hyperglycemia and oxidative stress lead to the formation of advanced glycation end products (AGEs), which are harmful compounds that have been implicated in dementia. Within the Rotterdam Study, we measured skin AGEs as skin autofluorescence, reflecting long-term accumulation of AGEs, and determined their association with the risk of dementia and with brain magnetic resonance imaging (MRI) measures. Skin autofluorescence was measured between 2013 and 2016 in 2922 participants without dementia. Of these, 1504 also underwent brain MRI, on which measures of brain atrophy and cerebral small vessel disease were assessed. All participants were followed for the incidence of dementia until 2020. Of 2922 participants (mean age 72.6 years, 57% women), 123 developed dementia. Higher skin autofluorescence (per standard deviation) was associated with an increased risk of dementia (hazard ratio 1.21 [95% confidence interval 1.01-1.46]) and Alzheimer's disease (1.19 [0.97-1.47]), independently of age and other studied potential confounders. Stronger effects were seen in apolipoprotein E (APOE) ε4 carriers (1.34 [0.98-1.82]) and in participants with diabetes (1.35 [0.94-1.94]). Participants with higher skin autofluorescence levels also had smaller total brain volumes and smaller hippocampus volumes on MRI, and they had more often lacunes. These results suggest that AGEs may be involved in dementia pathophysiology.

Colony-stimulating factor-1 receptor inhibition combined with paclitaxel exerts effective antitumor effects in the treatment of ovarian cancer.

Ovarian cancer is the tumor with the highest mortality among gynecological malignancies. Studies have confirmed that paclitaxel chemoresistance is associated with increased infiltration of tumor-associated macrophages (TAMs) in the microenvironment. Colony-stimulating factor 1 (CSF-1) receptor (CSF-1R) plays a key role in regulating the number and differentiation of macrophages in certain solid tumors. There are few reports on the effects of targeted inhibition of CSF-1R in combination with chemotherapy on ovarian cancer and the tumor microenvironment. Here, we explored the antitumor efficacy and possible mechanisms of the CSF - 1R inhibitor pexidartinib (PLX3397) when combined with the first-line chemotherapeutic agent paclitaxel in the treatment of ovarian cancer. We found that CSF-1R is highly expressed in ovarian cancer cells and correlates with poor prognosis. Treatment by PLX3397 in combination with paclitaxel significantly inhibited the growth of ovarian cancer both in vitro and in vivo. Blockade of CSF-1R altered the macrophage phenotype and reprogrammed the immunosuppressive cell population in the tumor microenvironment.

Metabolism-Related Prognostic Biomarkers, Purine Metabolism and Anti-Tumor Immunity in Colon Adenocarcinoma.

BACKGROUND: Metabolic reprogramming provides a new perspective for understanding cancer. The targeting of dysregulated metabolic pathways may help to reprogram the immune status of the tumor microenvironment (TME), thereby increasing the effectiveness of immune checkpoint therapy. Colorectal cancer (CRC), especially colon adenocarcinoma (COAD), is associated with poor patient survival. The aim of the present study was to identify novel pathways involved in the development and prognosis of COAD, and to explore whether these pathways could be used as targets to improve the efficacy of immunotherapy. METHODS: Metabolism-related differentially expressed genes (MRDEGs) between tumor and normal tissues were identified using The Cancer Genome Atlas (TCGA) dataset, together with metabolism-related prognostic genes (MRPGs). Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis was performed separately for the MRDEGs and MRPGs. Gene Set Variation Analysis (GSVA) was also performed to explore the role of purine metabolism in COAD tumorigenesis. Consensus clustering of purine metabolism genes with the overall survival (OS) of patients and with anti-tumor immunity was also performed. Pearson correlation analysis was used to identify potential targets that correlated strongly with the expression of immune checkpoints. RESULTS: A 6-gene signature that had independent prognostic significance for COAD was identified, together with a predictive model for risk stratification and prognosis. The most significantly enriched pathway amongst MRDEGs and MRPGs was purine metabolism. Differentially expressed purine metabolism genes could divide patients into two clusters with distinct prognosis and anti-tumor immunity. Further analysis suggested that purine metabolism was involved in anti-tumor immunity. CONCLUSIONS: This study confirmed the importance of metabolism-related pathways and in particular purine metabolism in the tumorigenesis, prognosis and anti-tumor immunity of COAD. We identified a 6-gene prognostic signature comprised of EPHX2, GPX3, PTGDS, NAT2, ACOX1 and CPT2. In addition, four potential immune-metabolic checkpoints (GUCY1A1, GUCY1B1, PDE1A and PDE5A) were identified, which could be used to improve the efficacy of immunotherapy in COAD.

The Interaction of Microbiome and Pancreas in Acute Pancreatitis.

Acute pancreatitis (AP) is a common acute abdomen disease characterized by the pathological activation of digestive enzymes and the self-digestion of pancreatic acinar cells. Secondary infection and sepsis are independent prognosticators for AP progression and increased mortality. Accumulating anatomical and epidemiological evidence suggests that the dysbiosis of gut microbiota affects the etiology and severity of AP through intestinal barrier disruption, local or systemic inflammatory response, bacterial translocation, and the regulatory role of microbial metabolites in AP patients and animal models. Recent studies discussing the interactions between gut microbiota and the pancreas have opened new scopes for AP, and new therapeutic interventions that target the bacteria community have received substantial attention. This review concentrates on the alterations of gut microbiota and its roles in modulating gut-pancreas axis in AP. The potential therapies of targeting microbes as well as the major challenges of applying those interventions are explored. We expect to understand the roles of microbes in AP diagnosis and treatment.

Chiral lanthanide-silver(I) cluster-based metal-organic frameworks exhibiting solvent stability, and tunable photoluminescence.

Due to the lack of effective synthetic strategies, the preparation of chemically stable chiral Ag(I) cluster-based materials for assembly remains challenging. Here, we have developed an approach to synthesize three pairs of chiral Ln-Ag(I) cluster-based metal-organic frameworks (MOFs) named l-LnAg5-3D (Ln = Gd for 1-L, Eu for 2-L, and Tb for 3-L) and d-LnAg5-3D (Ln = Gd for 1-D, Eu for 2-D, and Tb for 3-D) by employing a chiral Ag(I) cluster ({Ag5S6}) as the node and Ln3+ ion as the inorganic linker. Structural analysis revealed that the chiral ligands induced chirality through the entire structure, resulting in a chiral helix arrangement of the C3-symmetric chiral {Ag5S6} nodes and Ln3+ ions. These compounds showed high solvent stability in various polar organic solvents. The solid-state circular dichroism (CD) spectra of compounds l-LnAg5-3D and d-LnAg5-3D exhibited obvious mirror symmetrical peaks. The emission spectra in the solid state revealed that compound 1-L only exhibited the emission peak of {Ag5S6}, while compounds 2-L and 3-L exhibited overlapping peaks of Ln3+ and {Ag5S6} at different excitation wavelengths. This demonstrates the tunable photoluminescence from {Ag5S6} to Ln3+ by introducing different Ln3+ ions and manipulating the excitation wavelengths. The study underscores the enhanced stability of Ag(I) cluster-based MOFs achieved through the incorporation of Ln3+ ions and establishes chiral Ln-Ag(I) cluster-based MOFs as promising candidates for advanced materials with tunable photoluminescence.

JMJD6 in tumor-associated macrophage regulates macrophage polarization and cancer progression via STAT3/IL-10 axis.

The tumor-associated macrophage (TAM) is the most abundant group of immune cells in the tumor microenvironment (TME), which plays a critical role in the regulation of tumor progression and treatment resistance. Based on different polarization status, TAMs may also induce antitumor immune responses or immunosuppression. The present study identified JMJD6 (Jumonji domain-containing 6) as a novel modulator of TAM activation, the upregulation of which was associated with the immunosuppressive activities of TAMs. JMJD6 deficiency attenuated the growth of both Lewis lung carcinoma (LLC) tumors and B16F10 melanomas by reversing M2-like activation of macrophages, and sensitized tumors to immune checkpoint blockades (ICBs). Moreover, the JMJD6-induced inhibition of M2 polarization was potentially mediated by the STAT3/IL-10 signaling. These findings highlight the regulatory activities of JMJD6 in TAM polarization, and the therapeutic potential of JMJD6/STAT3/IL-10 axis blockades to enhance the efficacy of ICBs in cancer treatment.

Layer-by-Layer Deposited Multi-Modal PDAC/rGO Composite-Based Sensors.

Different environmental parameters, such as temperature and humidity, aggravate food spoilage, and different volatile organic compounds (VOCs) are released based on the extent of spoilage. In addition, a lack of efficient monitoring of the dosage of pesticides leads to crop failure. This could lead to the loss of food resources and food production with harmful contaminants and a short lifetime. For this reason, precise monitoring of different environmental parameters and contaminations during food processing and storage is a key factor for maintaining its safety and nutritional value. Thus, developing reliable, efficient, cost-effective sensor devices for these purposes is of utmost importance. This paper shows that Poly-(diallyl-dimethyl ammonium chloride)/reduced Graphene oxide (PDAC/rGO) films produced by a simple Layer-by-Layer deposition can be effectively used to monitor temperature, relative humidity, and the presence of volatile organic compounds as indicators for spoilage odors. At the same time, they show potential for electrochemical detection of organophosphate pesticide dimethoate. By monitoring the resistance/impedance changes during temperature and relative humidity variations or upon the exposure of PDAC/rGO films to methanol, good linear responses were obtained in the temperature range of 10-100 °C, 15-95% relative humidity, and 35 ppm-55 ppm of methanol. Moreover, linearity in the electrochemical detection of dimethoate is shown for the concentrations in the order of 102 µmol dm-3. The analytical response to different external stimuli and analytes depends on the number of layers deposited, affecting sensors' sensitivity, response and recovery time, and long-term stability. The presented results could serve as a starting point for developing advanced multi-modal sensors and sensor arrays with high potential for analytical applications in food safety and quality monitoring.

Ultra-Sensitive and Fast Humidity Sensors Based on Direct Laser-Scribed Graphene Oxide/Carbon Nanotubes Composites.

In this paper, the relative humidity sensor properties of graphene oxide (GO) and graphene oxide/multiwalled nanotubes (GO/MWNTs) composites have been investigated. Composite sensors were fabricated by direct laser scribing and characterized using UV-vis-NIR, Raman, Fourier transform infrared, and X-ray photoemission spectroscopies, electron scanning microscopy coupled with energy-dispersive X-ray analysis, and impedance spectroscopy (IS). These methods confirm the composite homogeneity and laser reduction of GO/MWNT with dominant GO characteristics, while ISresults analysis reveals the circuit model for rGO-GO-rGO structure and the effect of MWNT on the sensor properties. Although direct laser scribing of GO-based humidity sensor shows an outstanding response (|ΔZ|/|Z| up to 638,800%), a lack of stability and repeatability has been observed. GO/MWNT-based humidity sensors are more conductive than GO sensors and relatively less sensitive (|ΔZ|/|Z| = 163,000%). However, they are more stable in harsh humid conditions, repeatable, and reproducible even after several years of shelf-life. In addition, they have fast response/recovery times of 10.7 s and 9.3 s and an ultra-fast response time of 61 ms when abrupt humidification/dehumidification is applied by respiration. All carbon-based sensors' overall properties confirm the advantage of introducing the GO/MWNT hybrid and laser direct writing to produce stable structures and sensors.