Inflammatory diseases (IDs) are a general term of diseases characterized by chronic inflammation as the primary pathogenetic mechanism, which seriously affect the quality of patient′s life and cause significant social and medical burden. Current drugs for IDs include nonsteroidal anti-inflammatory drugs, corticosteroids, immunomodulators, biologics, and antioxidants, but these drugs may cause gastrointestinal side effects, induce or worsen infections, and cause non-response or intolerance. Given the outstanding performance of metal polyphenol network (MPN) in the fields of drug delivery, biomedical imaging, and catalytic therapy, its application in the diagnosis and treatment of IDs has attracted much attention and significant progress has been made. In this paper, we first provide an overview of the types of IDs and their generating mechanisms, then sort out and summarize the different forms of MPN in recent years, and finally discuss in detail the characteristics of MPN and their latest research progress in the diagnosis and treatment of IDs. This research may provide useful references for scientific research and clinical practice in the related fields.

Aim To investigate the molecular mechanism by which quercetin inhibits the malignant behavior of breast cancer cells. Methods Breast cancer cell lines MCF-7 and MB231 were used as the research models. Lentiviral transfection was employed to establish tumor cells with high expression of ERa and MAL-AT-1. The expression of MALAT-1 was assessed using RT-qPCR,and ERa expression was determined through Western blot. Subsequently, CCK-8 assay and colony formation assay were conducted to evaluate cell proliferation. PI staining and adenovirus transfection were performed to observe the inhibitory effects of quercetin on breast cancer cell proliferation. Results 17|3-es-tradiol ( E2 ) promoted the proliferation of MCF-7 breast cancer cells, while 5 jjunol L quercetin reversed the promoting effect of E2 on proliferation ( P 0. 05 ) . Quercetin had no effect on MB231 breast cancer cells. Overexpression of ERa significantly inhibited the pro-proliferative effect of E2 on MB231-ERa cells, and quercetin further suppressed this effect. Additionally , quercetin inhibited the expression of MALAT-1. However,this inhibitory effect was reversed by overexpression of MALAT-1, leading to enhanced cell proliferation , cell cycle progression, and clonal formation a-bility. Conclusions Quercetin exerts its anti-tumor effects on breast cancer cells by regulating MALAT-1, dependent on the presence of estrogen receptor. Quercetin shows potential as a therapeutic drug for breast cancer targeting the estrogen receptor.

Objective To analyze the acupoint selection rules of acupuncture for the treatment of tic disorders in children based on data mining techniques.Methods A computerized search was conducted for the clinical research literature on acupuncture treatment of tic disorders in children included in the CNKI,Wanfang,VIP,SinoMed,and PubMed databases from January 1992 to December 2022.A database was established by Excel 2019 to count the commonly used treatment methods and analyze the high-frequency application methods acupuncture(high-frequency acupoints,channel entry of acupoints,acupoint association rules,and acupoint clustering),auricular point seed-pressing(high-frequency auricular points,and acupoint association rules),and the high frequency division of cluster needling of scalp point.Results A total of 190 valid literature articles were included,involving 270 acupuncture prescriptions;among them,184 acupoints were counted in the acupuncture method,with a total application frequency of 1 906 times,and the high-frequency application of the acupoints in descending order were Baihui(DU20),Taichong(LR3),Fengchi(GB20),Hegu(LI4),Sanyinjiao(SP6),Neiguan(PC6),Shenmen(HT7),Zusanli(ST36),Yintang(EX-HN3),Sishencong(EX-HN1);and the high-frequency meridians were governor vessol,foot taiyang stomach meridian,foot taiyang stomach meridian,foot shaoyang gallbladder meridian,hand taiyang large intestine meridian,foot taiyang bladder meridian,foot jueyin gallbladder meridian;three sets of strong association rules and five clusters of acupoints were analyzed by SPSS modeler 18.0 and IBM SPSS Statistics 26.0 software.There were 29 acupoints of auricular point seed-pressing,application total frequency was 206 times,high-frequency application of auricular points in descending order of Shenmen(HT7),liver,heart,subcortex,kidney;four groups of acupoint strong association rules were obtained through the analysis of SPSS modeler 18.0 software.A total of 14 zones were involved in the application of cephalic acupoint plexus zoning,of which the high-frequency zones were parietal anterior temporal diagonal,parietal parietal 1,and chorea tremor control zone.Conclusion Acupuncture treatment of tic disorders in children,according to its pathogenesis(liver hyperactivity,kidney depletion,spleen deficiency,phlegm disturbance,etc.)and tic site,select acupoints compatibility,and mostly choose yang meridian acupoints,which is related to the nature and treatment characteristics of wind pathogen.Children's tic disorders are closely related to emotional disorders,therefore acupuncture and auricular acupoints all emphasize the method of soothing the liver and clearing the heart,and regulating the emotional state.Cluster needling of scalp point mostly used parietal temporal anterior oblique line,parietal 1 line,and dance tremor control area for the treatment of tic disorders.For children,auricular point seed-pressing and cluster needling of scalp point has the minimun of pain,the effect of treatment is long,and it is not easy to have dangerous situations such as bent needle,broken needle and so on.

Superior vena cava syndrome(SVCS)is a group of clinical syndromes caused by obstruction of the superior vena cava and its major branches from various causes.Pulmonary artery stenosis(PS)is a complication of lung cancer or mediastinal tumours.SVCS combined with PS due to pulmonary metastases from bladder cancer is extremely rare and has not been reported in the literature.Here we reported an old male patient with pulmonary metastases from bladder cancer presenting with swelling of the head,neck and both upper limbs.SVCS combined with PS was clarified by pulmonary artery computed tomography angiography(CTA)and digital subtraction angiography(DSA).Endovascular stenting was used to treat SVCS.Angiography also showed that PS had not caused pulmonary hypertension and did not need to be treated.The swelling of the patient's head,neck and upper limbs was gradually reduced after the procedure.

Adaptive immunity is a critical component of the human immune system, playing an essential role in identifying antigens and orchestrating a tailored immune response. This review delves into the significant strides made in the development of epitope prediction tools, their integration into vaccine design, and their pivotal role in enhancing immunotherapy strategies. The review emphasizes the transformative potential of these tools in refining our understanding and application of immune responses. Adaptive immunity distinguishes itself from innate immunity by its ability to recognize specific antigens and remember past infections, leading to quicker and more effective responses upon subsequent exposures. This facet of immunity involves complex interactions between various cell types, primarily B cells and T cells, which recognize distinct epitopes presented by antigens. Epitopes are small sequences or configurations on antigens that are recognized by the immune receptors on B cells and T cells, acting as the focal points of immune recognition and response. Epitopes can be broadly classified into two types: linear (or sequential) epitopes and conformational (or discontinuous) epitopes. Linear epitopes consist of a sequence of amino acids in a protein that are recognized by B cells and T cells in their primary structure form. Conformational epitopes, on the other hand, are formed by spatially distinct amino acids that come together in the tertiary structure of the protein, often recognized by the immune system only when the protein folds into its native conformation. The role of epitopes in the immune response is critical as they are the primary triggers for the activation of B cells and T cells. When an epitope is recognized, it can stimulate B cells to produce antibodies, mobilize helper T cells to secrete cytokines, or prompt cytotoxic T cells to kill infected cells. These actions form the basis of the adaptive immune response, tailored to eliminate specific pathogens or infected cells effectively. The prediction of B cell and T cell epitopes has evolved with advances in computational biology, leading to the development of several sophisticated tools that utilize a variety of algorithms to predict the likelihood of epitope regions on antigens. Tools employing machine learning methods, such as support vector machines (SVMs), XGBoost, random forest, analyze large datasets of known epitopes to classify new sequences as potential epitopes based on their similarity to known data. Moreover, deep learning has emerged as a powerful method in epitope prediction, leveraging neural networks capable of learning high-dimensional data from vast amounts of immunological inputs to identify patterns that may not be evident to other predictive models. Deep learning models, such as convolutional neural networks (CNNs), recurrent neural networks (RNNs) and ESM protein language model have demonstrated superior accuracy in mapping the nonlinear relationships inherent in protein structures and epitope interactions. The application of epitope prediction tools in vaccine design is transformative, enabling the development of epitope-based vaccines that can elicit targeted immune responses against specific parts of the pathogen. These vaccines, by focusing the immune response on highly specific regions of the pathogen, can offer high efficacy and reduced side effects. Similarly, in cancer immunotherapy, epitope prediction tools help identify tumor-specific antigens that can be targeted to develop personalized immunotherapeutic strategies, thereby enhancing the precision of cancer treatments. The future of epitope prediction technology appears promising, with ongoing advancements anticipated to enhance the precision and efficiency of these tools further. The integration of broader immunological data, such as patient-specific immune profiles and pathogen variability, along with advances in AI and machine learning, will likely drive the development of more adaptive, robust, and clinically relevant prediction models. This will not only improve the effectiveness of vaccines and immunotherapies but also contribute to our broader understanding of immune mechanisms, potentially leading to breakthroughs in the treatment and prevention of multiple diseases. In conclusion, the development and refinement of epitope prediction tools stand as a cornerstone in the advancement of immunological research and therapeutic design, highlighting a path toward more precise and personalized medicine. The ongoing integration of computational models with experimental immunology holds the promise of revolutionizing our approach to combating infectious diseases and cancer.

Anti-tumor traditional Chinese medicine has a long history of clinic application, in which the star molecules have always been the hotspot of modern drug research, but they are limited by the solubility, stability, targeting, bioactivity or toxicity of the monomer components of traditional Chinese medicine anti-tumor star molecules and other pharmacokinetic problems, which hinders the traditional Chinese medicine anti-tumor star molecules for further clinical translation and application. Currently, the nanosystems prepared by supramolecular technologies such as molecular self-assembly and nanomaterial encapsulation have broader application prospects in improving the anti-tumor effect of active components of traditional Chinese medicine, which has attracted extensive attention from scholars at home and abroad. In this paper, we systematically review the research progress in preparation of supramolecular nano-systems from anti-tumor star molecule of traditional Chinese medicine, and summarize the two major categories and ten small classes of carrier-free and carrier-based supramolecular nanosystems and their research cases, and the future development direction is put forward. The purpose of this paper is to provide reference for the research and clinical transformation of using supramolecular technology to improve the clinical application of anti-tumor star molecule of traditional Chinese medicine.

Tumor is one of the serious problems threatening human health. There are some limitations in the delivery of commonly used tumor therapy technologies, and the therapeutic effect is not satisfactory, so new anti-tumor strategies need to be developed. The process of tumor cells using glycolysis to produce energy under aerobic conditions is called aerobic glycolysis, which is closely related to tumor growth, proliferation and metastasis, and can provide a new target spot for tumor treatment. Nano drug delivery system has been widely used in targeted tumor therapy because of its advantages of targeted drug delivery, improved anti-tumor efficacy and reduced toxic side effects. Numerous studies have shown that more and more nano drug delivery systems regulates aerobic glycolytic metabolism by targeting to potential targets such as signaling factors or reaction products of aerobic glycolytic process in tumors, and therefore enhance the anti-tumor effect. This paper reviews the application of nano drug delivery system in regulating tumor aerobic glycolysis, and provides theoretical references for realizing efficient targeted tumor therapy.

Objective To explore the anti-atherosclerosis mechanism of Hirudo and its effect on autophagy in mice.Methods Forty healthy male ApoE-/-mice were randomly divided into model group,control group(3 × 10-3 g·kg-1·d-1 simvastatin)and experimental-L,experimental-M,experimental-H groups(0.45,0.9,1.8 g·kg-1· d-1,Maixuekang capsule).Eight healthy male C57BL/6J mice were divided into blank group.The mice were fed with common diet for 1 week.Then,except blank group,other groups were fed with high-fat diet.After 8 weeks of modeling,the atherosclerosis(AS)mice were given drugs orally once a day for 12 weeks,and fed with high-fat diet in the meantime.The levels of interleukin-6(IL-6),tumor necrosis factor-α(TNF-α)in serum were determined by enzyme-linked immunosorbent assay(ELISA).The levels of Beclin-1,LC3 autophagy protein were detected by Western blot method.Results The IL-6 contents in the experimental-H,experimental-M,experimental-L,control,model and blank groups were(107.59±3.03),(99.31±5.12),(103.52±2.28),(98.68±4.68),(112.66±6.08),(93.98±3.43)pg·mL-1;the TNF-α contents were(538.41±30.26),(504.49±21.51),(538.51±19.05),(494.05±25.08),(578.53±26.32),(467.35±21.53)pg·mL-1.For the above indexes,the differences between model group and experimental-H group,experimental-M group,experimental-L group,control group,blank group were all statistically significant(all P＜0.05).The Beclin-1 protein expression levels in the experimental-H,experimental-M,experimental-L,control and model groups were 1.48±0.05,1.72±0.05,1.19±0.02,1.51±0.04,0.66±0.03;the LC3 Ⅱ protein expression levels were 1.53±0.01,1.83±0.02,1.16±0.01,1.90±0.01,0.49±0.01,and the differences between model group and experimental-H group,experimental-M group,experimental-L group,control group were all statistically significant(all P＜0.05).Conclusion Hirudo can significantly reduce the area of atherosclerotic plaque by regulating the level of autophagy.

o-Phthalaldehyde(OPA)is a new type of chemical disinfectant widely used in medical institutions.The development of new efficient and convenient detection platforms or methods for OPA is of great significance.In this work,in two-dimensional photonic crystal(2DPC)hydrogel,a responsive 2DPC hydrogel was prepared by functionalizing the hydrogel with ethylenediamine(EDA)and embedding amino groups.The amino group on the polymer chain of 2DPC hydrogel reacted with OPA,and with the increase of OPA concentration,the crosslinking density of the hydrogel also increased,resulting in the volume phase transition of the hydrogel,e.g.,shrinkage phenomenon.In the meantime,the spacing of 2DPC microspheres gradually decreased,while the diameter of Debye diffraction ring gradually increased.The results showed that the change of particle size spacing had a good linear relationship with logarithm of concentration of OPA in the range of 101?106 nmol/L,with the detection limit of 0.21 nmol/L(3σ/k).Therefore,the amino functionalized photonic crystal hydrogel sensor could realize the quantitative detection of OPA.The method was simple with low cost,ease to operate and use.Then the practicability of this hydrogel sensor for real sample was verified in the diluted clinical disinfectant.The recoveries of OPA in the diluted disinfectant were 100%?103%,with a relative standard deviations of 1.8%?5.5%.The results proved that 2DPC hydrogel sensor could be used for detection of OPA in disinfectant used for clinical endoscopes and other instruments.

Objective Recombinase-aided polymerase chain reaction(RAP)is a sensitive,single-tube,two-stage nucleic acid amplification method.This study aimed to develop an assay that can be used for the early diagnosis of three types of bacteremia caused by Staphylococcus aureus(SA),Pseudomonas aeruginosa(PA),and Acinetobacter baumannii(AB)in the bloodstream based on recombinant human mannan-binding lectin protein(M1 protein)-conjugated magnetic bead(M1 bead)enrichment of pathogens combined with RAP. Methods Recombinant plasmids were used to evaluate the assay sensitivity.Common blood influenza bacteria were used for the specific detection.Simulated and clinical plasma samples were enriched with M1 beads and then subjected to multiple recombinase-aided PCR(M-RAP)and quantitative PCR(qPCR)assays.Kappa analysis was used to evaluate the consistency between the two assays. Results The M-RAP method had sensitivity rates of 1,10,and 1 copies/μL for the detection of SA,PA,and AB plasmids,respectively,without cross-reaction to other bacterial species.The M-RAP assay obtained results for<10 CFU/mL pathogens in the blood within 4 h,with higher sensitivity than qPCR.M-RAP and qPCR for SA,PA,and AB yielded Kappa values of 0.839,0.815,and 0.856,respectively(P<0.05). Conclusion An M-RAP assay for SA,PA,and AB in blood samples utilizing M1 bead enrichment has been developed and can be potentially used for the early detection of bacteremia.