Cold Exposure Alleviates T2DM Through Plasma-Derived Extracellular Vesicles.

Purpose: Anecdotal reports have praised the benefits of cold exposure, exemplified by activities like winter swimming and cold water immersion. Cold exposure has garnered acclaim for its potential to confer benefits and potentially alleviate diabetes. We posited that systemic cold temperature (CT, 4-8°C) likely influences the organism's blood components through ambient temperature, prompting our investigation into the effects of chronic cold exposure on type 2 diabetic (T2DM) mice and our initial exploration of how cold exposure mitigates the incidence of T2DM. Methods: The effects of CT (4-8°C) or room temperature (RT, 22-25°C) on T2DM mice were investigated. Mice blood and organ specimens were collected for fully automated biochemical testing, ELISA, HE staining, immunohistochemistry, and immunofluorescence. Glucose uptake was assessed using flow cytometry with 2-NBDG. Changes in potential signaling pathways such as protein kinase B (AKT), phosphorylated AKT (p-AKT), insulin receptor substrates 1 (IRS1), and phosphorylated IRS1 (p-IRS1) were evaluated by Western blot. Results: CT or CT mice plasma-derived extracellular vesicles (CT-EVs) remarkably reduced blood glucose levels and improved insulin sensitivity in T2DM mice. This treatment enhanced glucose metabolism, systemic insulin sensitivity, and insulin secretion function while promoting glycogen accumulation in the liver and muscle. Additionally, CT-EVs treatment protected against the streptozocin (STZ)-induced destruction of islets in T2DM mice by inhibiting ß-cell apoptosis. CT-EVs also shielded islets from destruction and increased the expression of p-IRS1 and p-AKT in adipocytes and hepatocytes. In vitro experiments further confirmed its pro-insulin sensitivity effect. Conclusion: Our data indicate that cold exposure may have a potentially beneficial effect on the development of T2DM, mainly through the anti-diabetic effect of plasma-derived EVs released during cold stimulation. This phenomenon could significantly contribute to understanding the lower prevalence of diabetes in colder regions.

Dual Metallosalen-based Covalent Organic Frameworks for Artificial Photosynthetic Diluted CO2 Reduction.

Directly converting CO2 in flue gas using artificial photosynthetic technology represents a promising green approach for CO2 resource utilization. However, it remains a great challenge to achieve efficient reduction of CO2 from flue gas due to the decreased activity of photocatalysts in diluted CO2 atmosphere. Herein, we designed and synthesized a series of dual metallosalen-based covalent organic frameworks (MM-Salen-COFs, M: Zn, Ni, Cu) for artificial photosynthetic diluted CO2 reduction and confirmed their advantage in comparison to that of single metal M-Salen-COFs. As a results, the ZnZn-Salen-COF with dual Zn sites exhibits a prominent visible-light-driven CO2-to-CO conversion rate of 150.9 µmol g-1 h-1 under pure CO2 atmosphere, which is ~6 times higher than that of single metal Zn-Salen-COF. Notably, the dual metal ZnZn-Salen-COF still displays efficient CO2 conversion activity of 102.1 µmol g-1 h-1 under diluted CO2 atmosphere from simulated flue gas conditions (15% CO2), which is a record high activity among COFs- and MOFs-based photocatalysts under the same reaction conditions. Further investigations and theoretical calculations suggest that the synergistic effect between the neighboring dual metal sites in the ZnZn-Salen-COF facilitates low concentration CO2 adsorption and activation, thereby lowering the energy barrier of the rate-determining step.

Polysaccharides from Flos Sophorae Immaturus ameliorates insulin resistance in IR-HepG2 cells by co-regulating signaling pathways of AMPK and IRS-1/PI3K/AKT.

Four polysaccharides, named FSIP, FSIP-I, FSIP-II and FSIP-III, were isolated from Flos Sophorae Immaturus. Structure characterization revealed that FSIP-I and FSIP-II were types of AG-II-like polysaccharides while FSIP-III featured a RG-II-like structure with high content of GalpA. In vitro experiments showed that FSIPs upregulated HK and PK activities in glycolysis while downregulated G-6-Pase activities in gluconeogenesis. This increased glucose utilization while decreased the glucose synthesis in IR-HepG2 cells, potentially reducing elevated blood sugar levels induced by excess insulin. In terms of antioxidant system, FSIPs decreased the levels of ROS and MDA, and increased the activities of SOD and CAT, enhancing antioxidant capacity to counteract damage caused by insulin resistance in IR-HepG2 cells. To further explore the mechanism, related genes expressions were analyzed. The results found that FSIPs ameliorated insulin resistance via regulating AMPK and IRS-1/PI3K/AKT signal pathways. In the case of AMPK, glucose can be channeled into oxidative (catabolic) pathway, whereas, in the case of IRS-1/PI3K/AKT, glucose can be stored as glycogen (anabolic). This co-modulation could ameliorate insulin resistance by upregulating the glycolysis and repressing the gluconeogenesis in catabolism, and upregulating the glycogen synthesis in anabolism. Additionally, FSIP-III exhibited better anti-insulin resistance activity, attributed to its high content of GalpA.

An Aquatic Autonomic Nervous System.

Reproducing human nervous systems with endogenous mechanisms has attracted increasing attention, driven by its great potential in streamlining the neuro-electronic interfaces with bilateral signaling. Here, an artificial aquatic autonomic nervous system (ANS) with switchable excitatory/inhibitory characteristics and acetylcholine (ACh)-mediated plasticity is reported based on the newly emerged organic photoelectrochemical transistor (OPECT). Under the modulation of spatial light and ACh, the system exhibits an immediate switch between excitation and inhibition, and many pulse patterns as well as advanced ANS functions are mimicked. To demonstrate its potential usage, the artificial ANS is then utilized to control artificial pupils and muscles to emulate real biological responses during an emergency. In contrast to previous solid-state attempts, this ANS is aqueous compatible just like biological nervous systems, which are capable of real neurotransmitter mediation.

EBNA1BP2 identified as potential prognostic biomarker for multiple tumor types in pan-cancer analysis.

BACKGROUND: Epstein-Barr virus (EBV) infection has been closely linked to the development of various types of cancer. EB nuclear antigen 1 binding protein 2 (EBNA1BP2) is a crucial molecule for stable isolation of EBV in latent infection. However, the role of EBNA1BP2 in multiple tumor types is remains unclear. In this study, we comprehensively analyzed the functional characteristics of EBNA1BP2 and investigate its potential as a prognostic biomarker in pan-cancer. METHODS: We utilized data from TCGA (The Cancer Genome Atlas) and GEO (Gene Expression Omnibus) databases and employed various bioinformatics analysis tools, including TIMER2.0, HPA, GEPIA2.0, PrognoScan, cBioPortal, CancerSEA, and BioGRID to explore the expression pattern, prognostic value, immune infiltration, and methylation level of EBNA1BP2 in pan-cancer. Additionally, we conducted enrichment analysis of genes associated with EBNA1BP2 to identify potential biological functions and pathways. RESULTS: Our analysis revealed that EBNA1BP2 expression was significantly higher in tumor tissues compared to tumor-adjacent tissues. We observed that lower expression of EBNA1BP2 in adrenocortical carcinoma (ACC), brain lower grade glioma (LGG), sarcoma (SARC), and uterine carcinosarcoma (UCS) was significantly associated with improved overall survival (OS) and disease-free survival (DFS). Furthermore, the promoter methylation level of EBNA1BP2 was downregulated in the majority of cancer types. At the single-cell level, EBNA1BP2 was found to be positively correlated with cell cycle and DNA repair processes, while negatively correlated with hypoxia. Additionally, EBNA1BP2 was associated with the infiltration of immune cells such as B cells, cancer-associated fibroblast cells, and CD8+ T cells. Gene enrichment analysis indicated that EBNA1BP2 was mainly involved in nucleoplasm and RNA binding pathways. CONCLUSION: Our findings suggest that EBNA1BP2 may serve as a potential prognostic biomarker for survival in pan-cancer. Further experimental studies are needed to validate these findings and explore the underlying mechanisms by which EBNA1BP2 contributes to tumorigenesis.

Adverse pregnancy outcomes and multiple cancers risk in both mother and offspring: an umbrella review of systematic reviews with meta-analyses of observational studies.

BACKGROUND: Adverse pregnancy outcomes have reached epidemic proportions in recent years with serious health ramifications, especially for diverse cancers risk. Therefore, we carried out an umbrella review to systematically evaluate the validity and strength of the data and the extent of potential biases of the established association between adverse pregnancy outcomes and cancers risk in both mother and offspring. METHODS: PubMed, Embase, and Web of Science databases were searched from inception until 18 January 2024. Meta-analyses of observational studies investigating the relationship between adverse pregnancy outcomes and multiple cancers risk in both mother and offspring were included. Evidence certainty was assessed using Grading of Recommendations, Assessment, Development, and Evaluation. The protocol for this umbrella review was prospectively registered in PROSPERO (CRD42023470544). RESULTS: The search identified 129 meta-analyses of observational studies and 42 types of cancer. Moderate certainty of evidence, exhibiting statistical significance, has been observed linking per kilogram increase in birth weight to a heightened risk of breast cancer (OR = 1.07, 95% CI = 1.02-1.12), prostate cancer (OR = 1.02, 95% CI = 1.00-1.05), leukemia (OR = 1.18, 95% CI = 1.13-1.23), and acute lymphoblastic leukemia in offspring (OR = 1.18, 95% CI = 1.12-1.23); rubella infection during pregnancy to an increased risk of leukemia in offspring (OR = 2.79, 95% CI = 1.16-6.71); and a linear dose-response association between an increase in the proportion of optimal birth weight and an elevated risk of acute lymphoblastic leukemia in offspring (OR = 1.16, 95% CI = 1.09-1.24), respectively. CONCLUSIONS: Although some adverse pregnancy outcomes have clinically promising associations with risk of several cancers in both mother and offspring, it is essential to conduct additional research to solidify the evidence, evaluate causality, and ascertain clinical utility.

Roboticized AI-assisted microfluidic photocatalytic synthesis and screening up to 10,000 reactions per day.

The current throughput of conventional organic chemical synthesis is usually a few experiments for each operator per day. We develop a robotic system for ultra-high-throughput chemical synthesis, online characterization, and large-scale condition screening of photocatalytic reactions, based on the liquid-core waveguide, microfluidic liquid-handling, and artificial intelligence techniques. The system is capable of performing automated reactant mixture preparation, changing, introduction, ultra-fast photocatalytic reactions in seconds, online spectroscopic detection of the reaction product, and screening of different reaction conditions. We apply the system in large-scale screening of 12,000 reaction conditions of a photocatalytic [2 + 2] cycloaddition reaction including multiple continuous and discrete variables, reaching an ultra-high throughput up to 10,000 reaction conditions per day. Based on the data, AI-assisted cross-substrate/photocatalyst prediction is conducted.

Single-Cell Transcriptomics Reveals Early Effects of Ionizing Radiation on Bone Marrow Mononuclear Cells in Mice.

Ionizing radiation exposure can cause damage to diverse tissues and organs, with the hematopoietic system being the most sensitive. However, limited information is available regarding the radiosensitivity of various hematopoietic cell populations in the bone marrow due to the high heterogeneity of the hematopoietic system. In this study, we observed that granulocyte-macrophage progenitors, hematopoietic stem/progenitor cells, and B cells within the bone marrow showed the highest sensitivity, exhibiting a rapid decrease in cell numbers following irradiation. Nonetheless, neutrophils, natural killer (NK) cells, T cells, and dendritic cells demonstrated a certain degree of radioresistance, with neutrophils exhibiting the most pronounced resistance. By employing single-cell transcriptome sequencing, we investigated the early responsive genes in various cell types following irradiation, revealing that distinct gene expression profiles emerged between radiosensitive and radioresistant cells. In B cells, radiation exposure led to a specific upregulation of genes associated with mitochondrial respiratory chain complexes, suggesting a connection between these complexes and cell radiosensitivity. In neutrophils, radiation exposure resulted in fewer gene alterations, indicating their potential for distinct mechanisms in radiation resistance. Collectively, this study provides insights into the molecular mechanism for the heterogeneity of radiosensitivity among the various bone marrow hematopoietic cell populations.

Nonconjugated Polyurethane Derivatives with Aggregation-Induced Luminochromism for Multicolor and White Photoluminescent Films.

A simple and effective strategy to obtain solid-state multicolor emitting materials is a particularly attractive topic. Nonconventional/nonconjugated polymers are receiving widespread attention because of their advantages of rich structural diversity, low cost, and good processability. However, it is difficult to control the molecular conformation or to obtain the crystal structure of amorphous molecules, which means it is a challenge to obtain nontraditional polymeric materials with multicolor emission. In this work, a polyurethane derivative (PUH) with red-shifted emission was synthesized by a simple one-pot polymerization reaction. By exploiting the aggregation-induced luminochromism of PUH, a series of plastic films with tunable emission from blue to orange, and white-light emission, was obtained by doping different amounts of PUH into poly(methyl methacrylate) (PMMA), thereby changing the aggregation degree of PUH. This work demonstrates the excellent promise of polyurethane derivatives for the simple fabrication of large-scale flexible luminescent films.

MiRNA-132/212 encapsulated by adipose tissue-derived exosomes worsen atherosclerosis progression.

BACKGROUND: Visceral adipose tissue in individuals with obesity is an independent cardiovascular risk indicator. However, it remains unclear whether adipose tissue influences common cardiovascular diseases, such as atherosclerosis, through its secreted exosomes. METHODS: The exosomes secreted by adipose tissue from diet-induced obesity mice were isolated to examine their impact on the progression of atherosclerosis and the associated mechanism. Endothelial apoptosis and the proliferation and migration of vascular smooth muscle cells (VSMCs) within the atherosclerotic plaque were evaluated. Statistical significance was analyzed using GraphPad Prism 9.0 with appropriate statistical tests. RESULTS: We demonstrate that adipose tissue-derived exosomes (AT-EX) exacerbate atherosclerosis progression by promoting endothelial apoptosis, proliferation, and migration of VSMCs within the plaque in vivo. MicroRNA-132/212 (miR-132/212) was detected within AT-EX cargo. Mechanistically, miR-132/212-enriched AT-EX exacerbates palmitate acid-induced endothelial apoptosis via targeting G protein subunit alpha 12 and enhances platelet-derived growth factor type BB-induced VSMC proliferation and migration by targeting phosphatase and tensin homolog in vitro. Importantly, melatonin decreases exosomal miR-132/212 levels, thereby mitigating the pro-atherosclerotic impact of AT-EX. CONCLUSION: These data uncover the pathological mechanism by which adipose tissue-derived exosomes regulate the progression of atherosclerosis and identify miR-132/212 as potential diagnostic and therapeutic targets for atherosclerosis.

Asymmetric Synthesis of Chiral Calix[4]arenes with Both Inherent and Axial Chirality via Cobalt-Catalyzed Enantioselective Intermolecular C-H Annulation.

Inherently chiral calixarenes have garnered significant attention due to their distinctive properties, yet the development of efficient catalytic asymmetric synthesis methods remains a critical challenge. Herein, we report the asymmetric synthesis of calix[4]arenes featuring inherent or both inherent and axial chirality via a cobalt-catalyzed C-H activation/annulation strategy in high yield with excellent enantio- and diastereoselectivity (up to > 99% ee and > 20:1 dr). Electrooxidation was also suitable for this transformation to obviate the sacrificial metal oxidants, underscoring the environmentally friendly potential of this approach. A key octahedral cobaltacycle intermediate was synthesized and characterized, providing valuable insights into the mode of enantio- and diastereocontrol of this protocol. Noteworthy photoluminescence quantum yields of up to 0.94 were measured, underscoring the potential of these compounds in the domain of organic fluorescent materials.

Electrochemical biosensor based on functional nanomaterials and horseradish peroxidase for the determination of luteolin in peanut shell, honeysuckle and perilla.

Constructing a biosensor to detect luteolin content accurately is essential, especially considering its specific health benefits at certain concentrations. In this work, the reaction of HRP catalyzed luteolin could be successfully applied in electrocatalytic processes, the oxidation process of electron loss and dehydrogenation occurring on the electrode replaced the hydrogen receptor role of H2O2 in the HRP biocatalytic process. This oxidation reaction had an apparent current response, thus achieving accurate measurement of luteolin. On this biosensor, CTAB was used to disperse MWCNTs, and BSA was used to improve the hydrophobicity of MWCNTs, which was conducive to the subsequent AuNPs fixation of HRP. Three detection methods (LSV, DPV and SWV) for the detection of luteolin were compared and showed that SWV method had a wider linear range (1 × 10-8-2 × 10-5 M) and lower detection limit (8 × 10-10 M). The determination of luteolin in Traditional Chinese Medicine (TCM) by high performance liquid chromatography (HPLC) and biosensor was almost identical. Therefore, this biosensor could successfully replace HPLC in detecting luteolin in TCM.

MOF-Decorated Poly(tetrafluoroethylene) Membranes with Underwater Superoleophobicity for Extracting Osmotic Energy from Oily Wastewater Effluents.

Industrial processes generate huge volumes of oily saline wastewater. Instead of being sent to the drainage system immediately, extracting osmotic energy from these effluents represents a promising means to reuse these wastes and contributes to mitigate the ever-growing energy crisis. Herein, an MOF-decorated PTFE membrane is engineered to extract osmotic energy from oily wastewaters. Copper hydroxide nanowires (CHNs) are intertwined with polystyrenesulfonate sodium (PSS), deposited onto a poly(tetrafluoroethylene) (PTFE) membrane, and thereafter used as metal precursors to in situ generate HKUST-1 doped with negative charges. The resulting HKUST-1PSS@PTFE hybrid membrane possesses abundant angstrom-scale channels capable of transporting cations efficiently and features a hierarchically structured surface with underwater superoleophobicity. The energy conversion performance of the HKUST-1PSS3.5@PTFE membrane can reach an output power density of 6.21 W m-2 at a 50-fold NaCl gradient, which is superior to those of pristine PTFE membranes. Once exposed to oily saline wastewater, the HKUST-1PSS@PTFE membrane can exhibit an excellent oil-repellent ability, thus contributing to sustain its osmotic energy harvesting. This work may promote the development of antifouling osmotic energy harvesters with a long working life and pave the way to fully exploit oily wastewater effluents as valuable energy sources.

Bioactive polyketides and tryptophol alkaloids from the endophytic fungus Botryosphaeria dothidea LE-07 of Chinese tulip tree.

Two new tetraketide-derived phenol rhamnosides [botryrhamnosides A (1) and B (2)] and a new rhamnosylated tryptophol alkaloid (botryrhamnoside C, 3), along with seven related known compounds (4-10) were isolated from the solid culture of Botryosphaeria dothidea LE-07, an endophytic fungus residing in the leaves of the rare medicinal plant Chinese tulip tree (Liriodendron chinense). Their structures with the absolute configurations were determined by a combination of spectroscopy methods, comparing specific rotations, electronic circular dichroism (ECD) calculations, and single-crystal X-ray diffraction analysis. Compounds 1 and 2 are rare tetraketide-derived resorcinols incorporating a l-rhamnose moiety, while 3 represents the first example of rhamnose-bound tryptophol derivatives produced by microorganisms. These metabolites were evaluated in vitro for their antimicrobial and anti-neuroinflammation activities. The rhamnosylated derivatives 1-5 displayed potent antibacterial activity against Escherichia coli, with MIC values in the range of 8-16 µg/mL. Compound 2 attenuated neuroinflammation in lipopolysaccharide (LPS)-induced BV-2 microglial cells, by decreasing the level of pro-inflammatory mediators [nitric oxide (NO), tumor necrosis factor-α (TNF-α), and interleukin 6 (IL-6)] and down-regulating the mRNA expression of inducible nitric oxide synthase (iNOS). In addition, compound 8 exhibited remarkable inhibitory effect against the ATP-citrate lyase (ACL), an emerging drug target for hyperlipidemia and related glycolipid metabolic disorders, with an IC50 value of 5.32 µM.

Biosensor Based on ZIF-67-HRP and MWCNTs Nanocomposite Modified Glass Carbon Electrode for the Detection of Luteolin in Vegetables.

Luteolin has various pharmacological properties, including anti-inflammatory, antioxidant, and antitumor characteristics. Due to its potential value in drugs and functional foods, it is important to develop an efficient method for detecting luteolin. In this work, the poor selectivity of existing luteolin nonenzymatic sensors was solved by translating the enzyme-catalyzed reaction from bulk solution to the surface of a horseradish peroxidase (HRP) modified electrode through an electrocatalytic oxidation process. Here, we modified the surface of a glassy carbon electrode (GCE) with metal-organic frameworks (MOFs; ZIF-67 here, abbreviated as ZIF), functional nanomaterials, and HRP and finally covered it with Nafion (NF). In this case, luteolin acts as a hydrogen donor, and the electrode acts as a hydrogen acceptor; the oxidation reaction occurs on the electrode surface. The use of ZIF-67 ensured the conformational stability of HRP to ensure the selectivity and anti-interference property, and SDS-dispersed multiwalled carbon nanotubes (MWCNTs) enhanced the electrode conductivity. The use of NF avoids shedding of the electrode material during the testing process. A UV-vis spectrophotometer was used to study the selectivity of luteolin by HRP and the compatibility between HRP and ZIF. The materials were characterized and analyzed by scanning electron microscopy and transmission electron microscopy. Due to the synergistic effect of these nanomaterials, the linear range of NF/ZIF-HRP/MWCNTs-SDS/GCE was 1.0 × 10-2 to 6.0 µM, with detection limits of 25.3 nM (S/N = 3). The biosensor showed long-term stability and reproducibility, with a relative standard deviation of 4.2% for the peak current (n = 5). Finally, the biosensor was successfully used to detect luteolin in carrots, celery, and cauliflower.

Taraxasterol attenuates zearalenone-induced kidney damage in mice by modulating oxidative stress and endoplasmic reticulum stress.

Taraxasterol is one of the bioactive ingredients from traditional Chinese herb Taraxacum, which exhibits multiple pharmacological activities and protective effects. However, the underlying influence and mechanism of its use against kidney damage caused from zearalenone (ZEA) remain unexplored. The ZEA-induced kidney damage model of mice was established by feeding diets containing ZEA (2 mg/kg), and taraxasterol (5 and 10 mg/kg) was administered by gavage for 28 days. Results demonstrated taraxasterol increased average daily gain (ADG) and average daily feed intake (ADFI), reduced feed-to-gain ratio (F/G) and kidney index of mice induced by ZEA. Taraxasterol alleviated histopathological changes of kidney, reduced ZEA residue and the levels of blood urea nitrogen (BUN), uric acid (UA), and creatinine (CRE). Concurrently, taraxasterol reduced the contents of oxidative stress indicator reactive oxygen species (ROS) and malondialdehyde (MDA), and increased the activities of antioxidant enzymes catalase (CAT), total superoxide dismutase (T-SOD), and glutathione peroxidase (GSH-Px). Further, taraxasterol up-regulated the mRNA and protein expression of nuclear factor erythroid-2-related factor 2 (Nrf2), GSH-Px, NAD(P)H quinone oxidoreductase 1 (NQO1), and heme oxygenase-1 (HO-1), and down-regulated the mRNA and protein expression of KELCH like ECH associated protein (Keap1) in Nrf2/Keap1 pathway. Taraxasterol down-regulated the mRNA and protein expression of immunoglobulin binding protein (Bip), C/EBP homologous protein (CHOP), Bcl-2 associated X (Bax), cysteine protease (Caspase)-12, and Caspase-3, and up-regulated B-cell lymphoma 2 (Bcl-2) expression in endoplasmic reticulum stress pathway. This study suggests that taraxasterol attenuates ZEA-induced mouse kidney damage through the modulation of Nrf2/Keapl pathway to play antioxidant role and endoplasmic reticulum stress pathway to enhance anti-apoptotic ability. It will provide a basis for taraxasterol as a potential drug to prevent and treat ZEA-induced kidney damage.

Vascular wall microenvironment: Endothelial cells original exosomes mediated melatonin-suppressed vascular calcification and vascular ageing in a m6A methylation dependent manner.

Vascular calcification and vascular ageing are "silent" diseases but are highly prevalent in patients with end stage renal failure and type 2 diabetes, as well as in the ageing population. Melatonin (MT) has been shown to induce cardiovascular protection effects. However, the role of MT on vascular calcification and ageing has not been well-identified. In this study, the aortic transcriptional landscape revealed clues for MT related cell-to-cell communication between endothelial cells (ECs) and vascular smooth muscle cells (VSMCs) in vascular calcification and vascular ageing. Furthermore, we elucidated that it was exosomes that participate in the information transportation from ECs to VSMCs. The exosomes secreted from melatonin-treated ECs (MT-ECs-Exos) inhibited calcification and senescence of VSMCs. Mechanistically, miR-302d-5p was highly enriched in MT-ECs-Exos, while depletion of miR-302d-5p blocked the ability of MT-ECs-Exos to suppress VSMC calcification and senescence. Notably, Wnt3 was a bona fide target of miR-302d-5p and modulated VSMC calcification and senescence. Furthermore, we found that maturation of endothelial derived exosomal miR-302d-5p was promoted by WTAP in an N6-methyladenosine (m6A)-dependent manner. Interestingly, MT alleviated vascular calcification and ageing in 5/6-nephrectomy (5/6 NTP) mice, a chronic kidney disease (CKD) induced vascular calcification and vascular ageing mouse model. MT-ECs-Exos was absorbed by VSMCs in vivo and effectively prevented vascular calcification and ageing in 5/6 NTP mice. ECs-derived miR-302d-5p mediated MT induced anti-calcification and anti-ageing effects in 5/6 NTP mice. Our study suggests that MT-ECs-Exos alleviate vascular calcification and ageing through the miR-302d-5p/Wnt3 signaling pathway, dependent on m6A methylation.

Enhanced Nanoparticle Recognition via Deep Learning-Accelerated Plasmonic Sensing.

Surface plasmon microscopy proves to be a potent tool for capturing interferometric scattering imaging data of individual particles at both micro and nanoscales, offering considerable potential for label-free analysis of bio-particles and bio-molecules such as exosomes, viruses, and bacteria. However, the manual analysis of acquired images remains a challenge, particularly when dealing with dense samples or strong background noise, common in practical measurements. Manual analysis is not only prone to errors but is also time-consuming, especially when handling a large volume of experimental images. Currently, automated methods for sensing and analysis of such data are lacking. In this paper, we develop an accelerated approach for surface plasmon microscopy imaging of individual particles based on combining the interference scattering model of single particle and deep learning processing. We create hybrid datasets by combining the theoretical simulation of particle images with the actual measurements. Subsequently, we construct a neural network utilizing the EfficientNet architecture. Our results demonstrate the effectiveness of this novel deep learning technique in classifying interferometric scattering images and identifying multiple particles under noisy conditions. This advancement paves the way for practical bio-applications through efficient automated particle analysis.