Dynamic Non-Covalent Bonds Powering Enhanced Temporary Shape Retention Temperature and Mechanical Robustness in Shape Memory Polyurethane.

Shape memory polyurethane (SMPU) with excellent mechanical properties holds significant application value in engineering. However, achieving high strength and toughness typically relies on hydrogen bonding for energy dissipation, which limits the application of such PUs due to their deformation temperature being below room temperature. Here, we introduce a rigid long-chain polyamide acid with a rich aromatic structure as a chain extender, combined with metal coordination, to develop a shape memory polyurethane with a phase transition temperature of 50 °C and outstanding mechanical performance. The presence of rigid segments of polyamic acid (PAA) and -COOH not only increases the rigidity of the polyurethane chains but also promotes the formation of hydrogen bonds and π-π conjugation, leading to physical cross-linking points and significant microphase separation, resulting in superior mechanical properties for PU-PAA. The dynamic bonding characteristics impart self-healing and solvent recyclability to PU-PAA. The coordination interactions enhance the cross-linking points, enabling PU-PAA-Eu to exhibit excellent shape fixation and recovery rates, as well as fluorescence properties. Additionally, due to the presence of -COOH, PU-PAA demonstrates remarkable adhesion to various metals. This work provides a strategy toward the development of high performance SMPU and holds promising potential for applications such as anticounterfeit coatings.

Amelioration of experimental autoimmune encephalomyelitis by exogenous soluble PD-L1 is associated with restraining dendritic cell maturation and CCR7-mediated migration.

Dendritic cells (DCs) orchestrate both immune activation and immune tolerance in multiple sclerosis (MS). Manipulating the phenotypes and functions of DCs to boost their tolerogenic potential is an appealing strategy for treating MS and its animal model experimental autoimmune encephalomyelitis (EAE). Programmed cell death 1 (PD-1) delivers the immunoinhibitory signals by interacting with PD-1 ligand 1 (PD-L1), which plays a critical role in maintaining immune tolerance. So far, the effects of PD-1/PD-L1 signalling activation on DCs in EAE are poorly understood. Here, the administration of soluble PD-L1 (sPD-L1) protein significantly alleviated the clinical symptoms of myelin oligodendrocyte glycoprotein (MOG)-induced EAE, and inhibited the expression of cluster of differentiation (CD)86, C-C motif chemokine receptor 7 (CCR7) as well as CCR7-mediated trafficking of splenic DCs, accompanied by enhancing their phagocytosis. The impact of sPD-L1 on the surface morphology and mechanical properties of DCs was investigated at the nanoscale, using scanning electron microscope and atomic force microscope. The treatment of sPD-L1 was found to mitigate morphological maturation and biomechanical alterations, specifically in terms of adhesion and elasticity, in bone marrow-derived DCs from EAE. Taken together, our findings suggest that application of exogenous sPD-L1 has a marked suppressive effect on the maturation and migration of DCs in EAE. PD-L1 administration may be a promising therapy for EAE and for MS in the future.

Traditional Chinese medicine to improve immune imbalance of asthma: focus on the adjustment of gut microbiota.

Asthma, being the prevailing respiratory ailment globally, remains enigmatic in terms of its pathogenesis. In recent times, the advancement of traditional Chinese medicine pertaining to the intestinal microbiota has yielded a plethora of investigations, which have substantiated the potential of traditional Chinese medicine in disease prevention and treatment through modulation of the intestinal microbiota. Both animal models and clinical trials have unequivocally demonstrated the indispensable role of the intestinal microbiota in the pathogenesis of asthma. This article presents a summary of the therapeutic effects of traditional Chinese medicine in the context of regulating gut microbiota and its metabolites, thereby achieving immune regulation and inhibiting airway inflammation associated with asthma. It elucidates the mechanism by which traditional Chinese medicine modulates the gut microbiota to enhance asthma management, offering a scientific foundation for the utilization of traditional Chinese medicine in the treatment of asthma.

KIFC3 promotes the progression of non-small cell lung cancer cells through the PI3K/Akt pathway.

BACKGROUND: Kinesin family member C3 (KIFC3), as reported, plays important roles in several tumor types. Nevertheless, it is unknown whether KIFC3 has effects on non-small cell lung cancer (NSCLC) development. MATERIALS AND METHODS: KIFC3 expression was detected by RT-PCR, and its correlation with prognosis was analyzed by GEPIA website. Small interfering RNA against KIFC3 were adopted for modulating KIFC3 expression in NSCLC cells. KIFC3 effects on NSCLC cell proliferation were determined using the MTT and clone formation assay. Matrigel invasion and wound healing assays were adopted for measuring the invasion and migration capability of NSCLC cells. Western blot was applied for measuring the levels of proteins associated with the phosphatidylinositol-3-kinase/protein kinase B (PI3K/Akt) pathway in NSCLC cells. RESULTS: KIFC3 was markedly increased in NSCLC samples and cells. KIFC3 knockdown suppressed the proliferation, invasion, and migration in NSCLC. Mechanically, KIFC3 silencing suppressed NSCLC progression through inhibiting the PI3K/Akt pathway. CONCLUSIONS: KIFC3 lack suppressed the proliferation, invasion, and migration which works, at least partially, by the PI3K/Akt pathway. These findings suggest that targeting KIFC3 via the PI3K/Akt pathway may offer a novel therapeutic strategy for NSCLC.

Nondestructive freshness prediction of large yellow croaker (Pseudosciaena crocea) using computer vision and machine learning techniques based on pupil color.

Conventional methods for evaluating of fish freshness based on physiological and biochemical methods are often destructive, complicated, and costly. This study aimed to predict the freshness of large yellow croaker which was sampled every second day in 9 consecutive days at 4°C, using computer vision technology combined with pupil color parameters and different machine learning algorithms (back propagation neural network, BPNN; radial basis function neural network; support vector regression; and random forest regression, RFR). In the process of model building, the RFR model provided the most accurate prediction for the value of total volatile basic nitrogen (TVB-N), with the R-square of the test set ( R p 2 $R^{2}_p $ ) of 0.993. The BPNN model exhibited the best fit for predicting the value of thiobarbituric acid (TBA), with R p 2 $R^{2}_p $ of 0.959. Additionally, the RFR model was the most effective in forecasting total viable count (TVC), with R p 2 $R^{2}_p $ of 0.935. After validation, the root mean square error values of the RFR model for predicting TVB-N value, TBA value, and TVC value were the lowest, which were 0.764, 0.067, and 0.219, respectively. It demonstrated the applicability and good predictive performance of the RFR model for predicting biochemical and microbiological indicators. These findings also demonstrated that monitoring the changes in pupil color could successfully predict the freshness of chilled fish. PRACTICAL APPLICATION: Application Scenario: Quality inspectors detect changes in the freshness of large yellow croaker in real time from the beginning of distribution to the selling site.

Emerging electrochemical biosensors for lung cancer-associated protein biomarker and miRNA detection.

Lung cancer remains a major driver of global morbidity and mortality, and diagnosing lung tumors early in their development is vital to maximizing treatment efficacy and patient survival. Several biomarkers, including CYFRA 21-1, NSE, ProGRP, CEA, and miRNA, have been identified as reliable indicators for early lung cancer detection and monitoring treatment progress. However, the minute changes in the levels of these biomarkers during the early stages of disease necessitate advanced detection platforms. In this space, electrochemical biosensors have currently emerged as robust tools for early lung cancer screening and diagnosis owing to their low costs, rapid responses, and superior sensitivity and selectivity. This review provides an up-to-date overview of the application of electrochemiluminescence, photoelectrochemical, and other electrochemical analytical strategies for detecting lung cancer-associated protein biomarkers, and miRNA. This review compares these techniques to provide a concise overview of the principles underlying these electrochemical analytical methods, the preparation of their components, and the performance of the resulting biosensors. Lastly, a discussion of the challenges and opportunities associated with electrochemical biosensors detection of lung cancer-associated biomarkers are provided.

The Utility of 24-h Video-EEG Monitoring in the Diagnosis of Epilepsy in Children.

Objectives: Evaluate the diagnostic yield of 24-h video-EEG monitoring in a group of children admitted in our epilepsy monitoring unit (EMU). Methods: 232 children who underwent 24-h video-EEG monitoring was analysed. We divided each patient's monitoring duration into the first 1, 2, 4, 8, 16 h, relative to the whole 24 h monitoring period. The detection of the first interictal epileptiform discharges (IEDs), epileptic seizures (ES), and psychogenic non-epileptic seizures (PNES) were analysed relative to the different monitoring time subdivision. Results: Our findings revealed that: (1) there was no significant difference in the prevalence of detecting initial IEDs between the first 4-h and 24-h monitoring periods (73.7% vs 81%); (2) clinical events detection rate was statistically similar between the first 8-h and 24-h monitoring periods (15.5% vs 19.3%); (4) an 8-h monitoring was sufficient to capture IEDs, ES and PNES in focal epilepsy children; (5) a 1-h monitoring was sufficient to capture IEDs, ES and PNES in generalized epilepsy children; and (6) IEDs were detected within the first 1-h of monitoring in 96.7% self-limited focal epilepsies (SeLFEs) patient. Conclusion: Our study suggests that a 4-h monitoring has more value in increasing the detection rate of IEDs compared to the traditional shorter routine EEG. And in the case of SeLFEs, a 1-h of monitoring might be sufficient in detecting IEDs. A 24-h VEEG monitoring can detect clinical events in 19.3% of patients. Overall, the yield of IEDs and clinical events detection is adequate in children in children undergoing 24-h video-EEG monitoring.

The chemically stable analogue of resolvin D1 ameliorates experimental autoimmune encephalomyelitis by mediating the resolution of inflammation.

While Resolvin D1 (RvD1) shows promise in resolving inflammation in experimental autoimmune encephalomyelitis (EAE), its pro-resolving roles on dendritic cells (DCs) remain unknown, and the chemical instability of RvD1 poses significant challenges to its drug development. This study aims to investigate whether 4-(2'-methoxyphenyl)-1-[2'-[N-(2″-pyridinyl)-p-fluorobenzamido]ethyl]piperazine (p-MPPF), a novel chemically stable analogue of RvD1, can play a pro-resolving role in EAE, particularly on DCs, and if p-MPPF could serve as a potential substitute for RvD1. We showed that both RvD1 and p-MPPF mediated the resolution of inflammation in EAE, as evidenced by ameliorated EAE progression, attenuated pathological changes in the spinal cord, altered cytokine expression profile in serum, and reduced proportion of pro-inflammatory immune cells in the spleen. Utilizing DCs derived from both the spleen and bone marrow of EAE, our investigation showed that RvD1 and p-MPPF prevented DC maturation, decreased pro-inflammatory cytokine secretion, shifted DCs away from a pro-inflammatory phenotype, increased the phagocytosis capacity of DCs, and suppressed their ability to induce differentiation of CD4+ T cells into Th1 and Th17 subsets. For underlying intracellular mechanisms, we found that RvD1 and p-MPPF down-regulated the lactate dehydrogenase A signaling pathways. Comparisons between RvD1 and p-MPPF showed that they exerted overlapped pro-resolving effects to a large extent. This study demonstrates that both RvD1 and p-MPPF exert therapeutic effects on EAE by mediating inflammation resolution, which is closely associated with modulating DC immune function towards a tolerogenic phenotype. SPM mimetics may serve as a more promising therapeutic drug.

Highly efficient removal and real-time visual detection of fluoride ions using ratiometric CAU-10-NH2@RhB: Probe design, sensing performance, and practical applications.

The extensive use of fluoride in agriculture, industry, medicine, and daily necessities has raised growing concerns about fluoride residue. To date, real-time visual detection and efficient removal of fluoride ions from water remain greatly desirable. Herein, nano-CAU-10-NH2@RhB is introduced as a ratiometric fluorescent probe and efficient scavenger for the intelligent detection and removal of fluoride ions. CAU-10-NH2@RhB is readily obtained through one-pot synthesis and exhibits high sensitivity and selectivity for real-time fluoride ion detection, with a naked-eye distinguishable color change from pink to blue. A portable device for point-of-care testing was developed based on color hue analysis readout using a smartphone. A quantitative response was achieved across a wide concentration range, with a detection limit of 54.2 nM. Adsorption experiments suggest that nano-CAU-10-NH2@RhB serves as an efficient fluoride ion scavenger, with a fluoride adsorption capacity of 49.3 mg/g. Moreover, the mechanistic study revealed that hydrogen bonds formed between fluoride ions and amino groups of CAU-10-NH2@RhB are crucial for the detection and adsorption of fluoride ions. This analysis platform was also used for point-of-care quantitative visual detection of fluoride ions in food, water, and toothpaste.

Cleavage of SQSTM1/p62 by the Zika virus protease NS2B3 prevents autophagic degradation of viral NS3 and NS5 proteins.

Macroautophagy/autophagy plays a crucial role in inhibiting viral replication and regulating the host's immune response. The autophagy receptor SQSTM1/p62 (sequestosome 1) restricts viral replication by directing specific viral proteins to phagophores for degradation. In this study, we investigate the reciprocal relationship between Zika virus (ZIKV) and selective autophagy mediated by SQSTM1/p62. We show that NS2B3 protease encoded by ZIKV cleaves human SQSTM1/p62 at arginine 265 (R265). This cleavage also occurs with endogenous SQSTM1 in ZIKV-infected cells. Furthermore, overexpression of SQSTM1 inhibits ZIKV replication in A549 cells, while its absence increases viral titer. We have also shown that SQSTM1 impedes ZIKV replication by interacting with NS3 and NS5 and directing them to autophagic degradation, and that NS2B3-mediated cleavage could potentially alter this antiviral function of SQSTM1. Taken together, our study highlights the role of SQSTM1-mediated selective autophagy in the host's antiviral defense against ZIKV and uncovers potential viral evasion strategies that exploit the host's autophagic machinery to ensure successful infection.Abbreviation: Cas9: CRISPR-associated protein 9; Co-IP: co-immunoprecipitation; CRISPR: clustered regularly interspaced short palindromic repeats; DENV: dengue virus; GFP: green fluorescent protein; IFA: indirect immunofluorescence assay; KIR: KEAP1-interacting region; KO: knockout; LIR: MAP1LC3/LC3-interacting region; mAb: monoclonal antibody; NBR1: NBR1 autophagy cargo receptor; OPTN: optineurin; pAb: polyclonal antibody; PB1: Phox/BEM1 domain; R265A, a SQSTM1 construct with the arginine (R) residue at position 265 replaced with glutamic acid (A); SQSTM1: sequestosome 1; SQSTM1-C, C-terminal fragment of SQSTM1; SQSTM1-N, N-terminal fragment of SQSTM1; SVV: Seneca Valley virus; TAX1BP1: Tax1 binding protein 1; TBD: TRAF6-binding domain; TCID50: 50% tissue culture infective dose; UBA: ubiquitin-associated domain; Ub: ubiquitin; WT: wild type; ZIKV: Zika virus; ZZ: ZZ-type zinc finger domain.

Rationally design a novel Zn-MOF for fluorescent detection of nitrofuran antibiotics: The synthesis, structure and sensing applications.

Nitrofuran antibiotics (NFAs) residues in waterare a persistent concern for the public due to the potential threats they pose to human health and the environment. Therefore, efficient probes that are capable of detecting trace amounts of antibiotics in real water environments have become a top priority. Herein, a novel fluorescent Zn-MOF probe (MOF-1) was revealed for the highly selective and sensitive sensing of NFAs. MOF-1 was rationally constructed with Zn(NO3)2·6H2O, 5,5'-(anthracene-9,10-diyl) diisophthalic acid (H4ADIP) and 1,3-bis(imidazol-1-ylmethyl)-benzene (mbib) by using the solvothermal method. Fluorescence sensing experiments demonstrate that MOF-1 can function as a fluorescent sensor for selective, sensitive, and rapid detection of NFAs among 15 antibiotics including ciprofloxacin (CPFX), chloramphenicol (CAP), sulfonamides and NFAs. Fluorescence titration experiments indicated that MOF-1 exhibited remarkably low detection limits of 0.19 µM, 0.26 µM, and 0.34 µM for furazolidone (FZD), furaltadone (FDH) and nitrofurazone (NFZ), respectively. Meanwhile, MOF-1 was successfully employed for NFAs detection in real samples with the recoveries of 98.7 % - 104.1 %, and a relative standard deviation below 5.1 %. Moreover, the sensing mechanism could be ascribed to the synergistic effect between the internal filtering effect and photoinduced electron transfer according to the experiment results and DFT calculations. Additionally, test strips were prepared based on MOF-1 for point of care testing of NFAs.

[Research progress in biosensors for adiponectin].

Adiponectin, a cytokine associated with adipose tissue, is a recently defined adipocytokine involved in insulin, glucose, and adipocyte metabolism. Reduced adiponectin levels can increase the risk of developing metabolic syndrome (MS). Adiponectin is considered an important target for the treatment of type 2 diabetes mellitus (T2DM) and MS due to its anti-atherosclerotic and insulin-sensitizing effects. Therefore, the accurate determination of adiponectin concentrations in human plasma is necessary for the management of both T2DM and MS. A variety of biosensors have been developed for the detection of biomarkers such as adiponectin. This paper reviews the applications of electrochemical sensors, surface-enhanced Raman scattering sensors, and microfluidic chip-based chemiluminescence sensors in the detection of adiponectin and the recent research progress in the sensors for the detection of adiponectin, aiming to provide a reference for the research and application of sensors for adiponectin in the medical field.

A dual-emission fluorescent probe with independent polarity and viscosity responses: The synthesis, spectroscopy and bio-imaging applications.

Viscosity and polarity are essential parameters that play critical roles in various physiological processes. Thus, dual-emission fluorescent probes that respond to both polarity and viscosity are highly sought-after tools for studying these processes. In addressing this need, a novel fluorescent probe (L), with dual emissions centered at 460 nm and 780 nm, which can sensitively respond to polarity and viscosity respectively, has been developed. Probe (L) is constructed through rational molecular design, utilizing two conjugated synthons connected by a π-bond to form a D-π-A system. The twisted intramolecular charge transfer (TICT) state is dominant in low-viscosity environments, resulting in weak near-infrared (NIR) fluorescence. Conversely, the intramolecular charge transfer (ICT) state is expected to prevail in high-viscosity environments, leading to strong NIR fluorescence. The polarity-sensitive fluorescence centered at 460 nm can be attributed to the emission of the coumarin unit. Moreover, probe (L) exhibits low cytotoxicity and primarily targets mitochondria. By leveraging the dual-emission properties of probe (L), real-time imaging of polarity and viscosity fluctuations within cells has been achieved. Additionally, probe (L) can be used for in situ and in vivo imaging of rheumatoid arthritis (RA) with good imaging resolution.

Disulfidptosis-Related LncRNA Signatures for Prognostic Prediction in Kidney Renal Clear Cell Carcinoma.

INTRODUCTION BACKGROUND: Disulfidptosis is a prevalent apoptotic mechanism, intrinsically linked to cancer prognosis. However, the specific involvement of disulfidptosis-related long non-coding RNA (DRLncRNAs) in Kidney renal clear cell carcinoma (KIRC) remains incompletely understood. This study aims to elucidate the potential prognostic significance of disulfidptosis-related LncRNAs in KIRC. MATERIALS AND METHODS: Expression profiles and clinical data of KIRC patients were retrieved from the TCGA database to discern differentially expressed DRLncRNAs correlated with overall survival. Cox univariate analysis, Lasso Regression, and Cox multivariate analysis were used to construct a clinical prediction model. RESULTS: Six signatures, namely FAM83C.AS1, AC136475.2, AC121338.2, AC026401.3, AC254562.3, and AC000050.2, were established to evaluate overall survival (OS) in the context of Kidney renal clear cell carcinoma (KIRC) in this study. Survival analysis and ROC curves demonstrated the strong predictive performance of the associated signature. The nomogram exhibited accurate prognostic predictions for overall patient survival, offering substantial clinical utility. Gene set enrichment analysis revealed that risk signals were enriched in various immune-related pathways. Furthermore, the risk features exhibited significant correlations with immune cells, immune function, immune cell infiltration, and immune checkpoints. CONCLUSION: This study has unveiled, for the first time, six disulfdptosis-related LncRNA signatures, laying a solid foundation for enhanced and precise prognostic predictions in KIRC.

Preliminary study on AI-assisted diagnosis of bone remodeling in chronic maxillary sinusitis.

OBJECTIVE: To construct the deep learning convolution neural network (CNN) model and machine learning support vector machine (SVM) model of bone remodeling of chronic maxillary sinusitis (CMS) based on CT image data to improve the accuracy of image diagnosis. METHODS: Maxillary sinus CT data of 1000 samples in 500 patients from January 2018 to December 2021 in our hospital was collected. The first part is the establishment and testing of chronic maxillary sinusitis detection model by 461 images. The second part is the establishment and testing of the detection model of chronic maxillary sinusitis with bone remodeling by 802 images. The sensitivity, specificity and accuracy and area under the curve (AUC) value of the test set were recorded, respectively. RESULTS: Preliminary application results of CT based AI in the diagnosis of chronic maxillary sinusitis and bone remodeling. The sensitivity, specificity and accuracy of the test set of 93 samples of CMS, were 0.9796, 0.8636 and 0.9247, respectively. Simultaneously, the value of AUC was 0.94. And the sensitivity, specificity and accuracy of the test set of 161 samples of CMS with bone remodeling were 0.7353, 0.9685 and 0.9193, respectively. Simultaneously, the value of AUC was 0.89. CONCLUSION: It is feasible to use artificial intelligence research methods such as deep learning and machine learning to automatically identify CMS and bone remodeling in MSCT images of paranasal sinuses, which is helpful to standardize imaging diagnosis and meet the needs of clinical application.

Strengthening-Durable Trade-Off and Self-Healing, Recyclable Shape Memory Polyurethanes Enabled by Dynamic Boron-Urethane Bonds.

Addressing the demand for integrating strength and durability reinforcement in shape memory polyurethane (SMPU) for diverse applications remains a significant challenge. Here a series of SMPUs with ultra-high strength, self-healing and recyclability, and excellent shape memory properties through introducing dynamic boron-urethane bonds are synthesized. The introducing of boric acid (BA) to polyurethane leading to the formation of dynamic covalent bonds (DCB) boron-urethane, that confer a robust cross-linking structure on the SMPUs led to the formation of ordered stable hydrogen-bonding network within the SMPUs. The flexible crosslinking with DCB represents a novel strategy for balancing the trade-off between strength and durability, with their strengths reaching up to 82.2 MPa while also addressing the issue of durability in prolonged usage through the provision of self-healing and recyclability. The self-healing and recyclability of SMPU are demonstrated through rapid dynamic exchange reaction of boron-urethane bonds, systematically investigated by dynamic mechanical analysis (DMA). This study sheds light on the essential role of such PU with self-healing and recyclability, contributing to the extension of the PU's service life. The findings of this work provide a general strategy for overcoming traditional trade-offs in preparing SMPUs with both high strength and good durability.

Water bridges as the trigger in an amino functionalized Zn-MOF for highly selective and sensitive fluorescent sensing of water.

Water is a fundamental element for life. The highly selective and sensitive sensing of water is always attractive for mankind in activities such as physiological processes study and extraterrestrial life exploration. Fluorescent MOFs with precise channels and functional groups might specifically recognize water molecules with hydrogen-bond interaction or coordination effects and work as water sensors. As a proof of concept, herein, an amino functionalized Zn-MOF (named as complex 1) with pores that just right for water molecules to form hydrogen bond bridges is revealed for highly selective and sensitive fluorescent sensing of water. The single-crystal X-ray diffraction analysis indicates that the 3D framework of complex 1 is functionalized with free amino groups in the channels. Hydrogen bonds formed in the channel along b-axis as water bridges to connect two adjacent NH2bdc ligands and result in the restriction of intramolecular motions (RIM) which could responsible for the selective turn-on fluorescence response to water. Complex 1 exhibits high sensitive to trace amount of water in organic solvents and could be used for water detection in a wide range water contents. Take advantages of complex 1, portable sensors (complex 1@PMMA) were prepared and used in the highly sensitive water sensing.

The role of purinergic signaling in acupuncture-mediated relief of neuropathic and inflammatory pain.

Acupuncture is a traditional medicinal practice in China that has been increasingly recognized in other countries in recent decades. Notably, several reports have demonstrated that acupuncture can effectively aid in pain management. However, the analgesic mechanisms through which acupuncture provides such benefits remain poorly understood. Purinergic signaling, which is mediated by purine nucleotides and purinergic receptors, has been proposed to play a central role in acupuncture analgesia. On the one hand, acupuncture affects the transmission of nociception by increasing adenosine triphosphate dephosphorylation and thereby decreasing downstream P2X3, P2X4, and P2X7 receptors signaling activity, regulating the levels of inflammatory factors, neurotrophic factors, and synapsin I. On the other hand, acupuncture exerts analgesic effects by promoting the production of adenosine, enhancing the expression of downstream adenosine A1 and A2A receptors, and regulating downstream inflammatory factors or synaptic plasticity. Together, this systematic overview of the field provides a sound, evidence-based foundation for future research focused on the application of acupuncture as a means of relieving pain.

Molecular cloning and functional characterization of pigeon IKKε.

Inhibitor of nuclear factor kappa-B kinase ε (IKKε), a member of the non-canonical IκB kinase family, plays a critical role in connecting various signaling pathways associated with the initiation of type I interferon (IFN) production. Although the importance of IKKε in innate immunity has been well established in mammals and fish, its characterization and function in pigeons have remained largely unexplored. In this study, we successfully cloned pigeon IKKε (piIKKε) from pigeon embryo fibroblasts (PEFs) for the first time. This gene encodes 722 amino acids and shares high amino acid similarity with its duck and goose counterparts. piIKKε showed a diffuse cytoplasmic distribution and broad expression in all tissues examined. Overexpression of piIKKε in PEFs significantly activated the IFN-ß promoter, with both the kinase and CC domains of piIKKε playing key roles in initiating IFN-ß expression. Knockdown of piIKKε using small interfering RNA significantly reduced the levels of IFN-ß induced by NDV, AIV, poly (I:C), or SeV. Furthermore, the presence of piIKKε resulted in a remarkable reduction in the replication of both avian influenza virus (AIV) H9N2 and Newcastle disease virus (NDV) in PEFs. Our results demonstrate that piIKKε plays a critical role in mediating antiviral innate immunity in pigeons.

How to enhance the ability of mesenchymal stem cells to alleviate intervertebral disc degeneration.

Intervertebral disc (ID) degeneration (IDD) is one of the main causes of chronic low back pain, and degenerative lesions are usually caused by an imbalance between catabolic and anabolic processes in the ID. The environment in which the ID is located is harsh, with almost no vascular distribution within the disc, and the nutrient supply relies mainly on the diffusion of oxygen and nutrients from the blood vessels located under the endplate. The stability of its internal environment also plays an important role in preventing IDD. The main feature of disc degeneration is a decrease in the number of cells. Mesenchymal stem cells have been used in the treatment of disc lesions due to their ability to differentiate into nucleus pulposus cells in a nonspecific anti-inflammatory manner. The main purpose is to promote their regeneration. The current aim of stem cell therapy is to replace the aged and metamorphosed cells in the ID and to increase the content of the extracellular matrix. The treatment of disc degeneration with stem cells has achieved good efficacy, and the current challenge is how to improve this efficacy. Here, we reviewed current treatments for disc degeneration and summarize studies on stem cell vesicles, enhancement of therapeutic effects when stem cells are mixed with related substances, and improvements in the efficacy of stem cell therapy by adjuvants under adverse conditions. We reviewed the new approaches and ideas for stem cell treatment of disc degeneration in order to contribute to the development of new therapeutic approaches to meet current challenges.