ObjectiveThis study proposes a novel single-cell protein localization method based on a class perception graph convolutional network (CP-GCN) to overcome several critical challenges in protein microscopic image analysis, including the scarcity of cell-level annotations, inadequate feature extraction, and the difficulty in achieving precise protein localization within individual cells. The methodology involves multiple innovative components designed to enhance both feature extraction and localization accuracy. MethodsFirst, a class perception module (CPM) is developed to effectively capture and distinguish semantic features across different subcellular categories, enabling more discriminative feature representation. Building upon this, the CP-GCN network is designed to explore global features of subcellular proteins in multicellular environments. This network incorporates a category feature-aware module to extract protein semantic features aligned with label dimensions and establishes a subcellular relationship mining module to model correlations between different subcellular structures. By doing so, it generates co-occurrence embedding features that encode spatial and contextual relationships among subcellular locations, thereby improving feature representation. To further refine localization, a multi-scale feature analysis approach is employed using the K-means clustering algorithm, which classifies multi-scale features within each subcellular category and generates multi-cell class activation maps (CAMs). These CAMs highlight discriminative regions associated with specific subcellular locations, facilitating more accurate protein localization. Additionally, a pseudo-label generation strategy is introduced to address the lack of annotated single-cell data. This strategy segments multicellular images into single-cell images and assigns reliable pseudo-labels based on the CAM-predicted regions, ensuring high-quality training data for single-cell analysis. Under a transfer learning framework, the model is trained to achieve precise single-cell-level protein localization, leveraging both the extracted features and pseudo-labels for robust performance. ResultsExperimental validation on multiple single-cell test datasets demonstrates that the proposed method significantly outperforms existing approaches in terms of robustness and localization accuracy. Specifically, on the Kaggle 2021 dataset, the method achieves superior mean average precision (mAP) metrics across 18 subcellular categories, highlighting its effectiveness in diverse protein localization tasks. Visualization of the generated CAM results further confirms the model’s capability to accurately localize subcellular proteins within individual cells, even in complex multicellular environments. ConclusionThe integration of the CP-GCN network with a pseudo-labeling strategy enables the proposed method to effectively capture heterogeneous cellular features in protein images and achieve precise single-cell protein localization. This advancement not only addresses key limitations in current protein image analysis but also provides a scalable and accurate solution for subcellular protein studies, with potential applications in biomedical research and diagnostic imaging. The success of this method underscores the importance of combining advanced deep learning architectures with innovative training strategies to overcome data scarcity and improve localization performance in biological image analysis. Future work could explore the extension of this framework to other types of microscopic imaging and its application in large-scale protein interaction studies.

Objective To design an ECG signal wireless transmission system for the dynamic ECG monitor.Methods The ECG signal wireless transmission system developed was composed of an ECG signal acquisition module,a wireless transceiver module,a wireless communication protocol module and a digital filtering module.The ECG signal acquisition module consisted of a digital interface circuit,an A/D converter microprocessor and an ECG amplification circuit.The wireless transceiver module was made up of a wireless RF unit,a crystal oscillator circuit,an RF circuit,a debug serial port,a register,a power supply module and a reset circuit.The wireless communication protocol module involved in a data link layer and a physical layer,of which the data link layer had two mechanisms of automatic response and frequency modulation.The digital filtering module mainly included a digital filter,a signal input module,a delay unit and a coefficient registers,and the digital filter was designed using the equiripple method and realized signal denoising by converting ECG signals into output sequences.The performance of this system for wireless transmission of ECG signals at different proximity remote transmission distances was validated with the ECG signal wireless transmission methods based on ZigBee networking and general packet radio service(GPRS)and based on wireless networking module used as comparative methods.Results The system developed gained advan-tages over the other two methods in average rate,sucess rate,average time consumption and average frequency for re-transmission of ECG signal wireless transmission.Conclusion The system developed can be used for efficient,stable and clear ECG signal wireless transmission for the dynamic ECG monitor.[Chinese Medical Equipment Journal,2024,45(6):28-32]

Epigenomic imbalance drives abnormal transcriptional processes,promoting the onset and progression of cancer.Although defective gene regulation generally affects carcinogenesis and tumor suppression networks,tumor immunogenicity and immune cells involved in antitumor responses may also be affected by epigenomic changes,which may have significant implications for the development and application of epigenetic therapy,cancer immunotherapy,and their combinations.Herein,we focus on the impact of epigenetic regulation on tumor immune cell function and the role of key abnormal epigenetic processes,DNA methylation,histone post-translational modification,and chromatin structure in tumor immunogenicity,and introduce these epigenetic research methods.We emphasize the value of small-molecule inhibitors of epigenetic modulators in enhancing antitumor immune responses and discuss the challenges of developing treatment plans that combine epigenetic therapy and immuno-therapy through the complex interaction between cancer epigenetics and cancer immunology.

Pharyngitis can be caused by various pathogens,including viruses and bacteria.Group A streptococcus(GAS)is the most common bacterial cause of pharyngitis.However,distinguishing GAS pharyngitis from other types of upper respiratory tract infections is challenging in clinical settings.This often leads to empirical treatments and,consequently,the overuse of antimicrobial drugs.With the advancement of antimicrobial drug management and healthcare payment reform initiatives in China,reducing unnecessary testing and prescriptions of antimicrobial drugs is imperative.To promote standardized diagnosis and treatment of GAS pharyngitis,this article reviews various international guidelines on the clinical diagnosis and differential diagnosis of GAS pharyngitis,particularly focusing on clinical scoring systems guiding laboratory testing and antimicrobial treatment decisions for GAS pharyngitis and their application recommendations,providing a reference for domestic researchers and clinical practitioners.

In accordance with the One Health concept,this study was aimed at exploring research trends and major topics in global zoonotic diseases,and providing suggestions for the prevention and control of zoonotic diseases in China.Using biblio-metric analysis,we analyzed 289 411 relevant articles in the SCIE database from 2012 to 2022 in the field of zoonotic diseases.We conducted in-depth analysis of publication trends,research themes,and cutting-edge topics in the field of zoonotic diseases.The number of publications in the field of zoonotic diseases has significantly increased since 2019.The United States had the most publications in this field,and was followed by China,which has shown strong growth.Further analysis of co-occurrence clustering of keywords in 7 115 highly cited articles in zoonotic diseases in the past 11 years revealed three major research themes:animal health,human health,and environmental health,according to the One Health concept.Keyword evolution a-nalysis showed that zoonotic disease articles were broadly related to issues such as"food safety"and"microbial resistance"in earlier years,whereas"COVID-19,""COVID-19 variants,"and"COVID-19 vaccine"have become recent research hotspots.Practicing the One Health concept and promoting interdisciplinary,interdepartmental,and interregional collaboration are crucial for enhancing the prevention and control of zoonotic diseases in China,thereby safeguarding national security,public health,and ecological safety.

Aim To explore the potential genes and mechanism of alisol B in the treatment of non-small cell lung cancer(NSCLC).Methods The proliferation and migration of NSCLC cells were detected by CCK-8 and Transwell.Genes of NSCLC and alisol B were col-lected through TCGA and compound gene prediction database,and their intersection genes were obtained.The network of protein-protein interaction(PPI)was constructed by using String database,and the top 20 key nodes were screened out,and the prognosis-related proteins related to the prognosis of NSCLC were screened out by using R language,and the intersection of them was obtained.The potential mechanism of ali-sol B on NSCLC was explored by KEGG and GO en-richment analysis and the relationship between related genes and immune cells,which was verified by cell-lev-el experiments.Results Alisol B inhibited the cell activity and migration ability of NSCLC cells.Five im-portant genes were identified by network pharmacologi-cal analysis:CCNE1,CDK1,COL1A1,COL1A2 and COL3A1.The results of cell experiment showed that al-isol B down-regulated the expression of Cyclin E1,CDK1 and COL1A2 in NSCLC cells.In addition,alisol B could inhibit the expression of COL1A2 and M2 macrophage marker CD206 in macrophages.Conclu-sions Alisol B may inhibit the proliferation of tumor cells by down-regulating CDK1 and Cyclin E1,and may affect the function of macrophages by inhibiting COL1A2,thus regulating the tumor immune microenvi-ronment and inhibiting NSCLC.

Children's fever is often accompanied by food accumulation. Traditional Chinese medicine believes that removing food stagnation while clearing heat of children can effectively avoid heat damage. To systematically evaluate the efficacy of Xiaoer Chiqiao Qingre Granules(XRCQ) in clearing heat and removing food accumulation and explore its potential mechanism, this study combined suckling SD rats fed with high-sugar and high-fat diet with injection of carrageenan to induce rat model of fever and food accumulation. This study provided references for the study on the pharmacodynamics and mechanism of XRCQ. The results showed that XRCQ effectively reduced the rectal temperature of suckling rats, improved the inflammatory environment such as the content of interleukin-1β(IL-1β), interleukin-2(IL-2), interferon-γ(IFN-γ), white blood cells, and monocytes. XRCQ also effectively repaired intestinal injury and enhanced intestinal propulsion function. According to the confirmation of its efficacy of clearing heat, the thermolytic mechanism of XRCQ was further explored by non-targeted and targeted metabolomics methods based on LTQ-Orbitrap MS/MS and UPLC-QQQ-MS/MS. Non-target metabolomics analysis of brain tissue samples was performed by QI software combined with SIMCA-P software, and 22 endogenous metabolites that could be significantly regulated were screened out. MetaboAnalyst pathway enrichment results showed that the intervention mechanism was mainly focused on tyrosine metabolism, tricarboxylic acid cycle, inositol phosphate metabolism, and other pathways. At the same time, the results of targeted metabolomics of brain tissue samples showed that XRCQ changed the vitality of digestive system, and inhibited abnormal energy metabolism and inflammatory response, playing a role in clearing heat and removing food stagnation from multiple levels.
Animals ; Rats ; Rats, Sprague-Dawley ; Hot Temperature ; Tandem Mass Spectrometry ; Metabolomics ; Food ; Fever ; Interferon-gamma

OBJECTIVE: To study effects of Shenmai Injection on hypertensive heart failure and its mechanism for inhibiting myocardial fibrosis. METHODS: Salt-sensitive (Dahl/SS) rats were fed with normal diet (0.3% NaCl) and the high-salt diet (8% NaCl) to observe the changes in blood pressure and heart function, as the control group and the model group. Salt-insensitive rats (SS-13BN) were fed with the high-salt diet (8% NaCl) as the negative control group. After modeling, the model rats were randomly divided into heart failure (HF) group, Shenmai Injection (SMI) group and pirfenidone (PFD) group by a random number table, with 6 rats in each group. They were given sterilized water, SMI and pirfenidone, respectively. Blood pressure, cardiac function, fibrosis and related molecular expression were detected by sphygmomanometer, echocardiogram, enzyme linked immunosorbent assay (ELISA), hematoxylin-eosin staining, Masson staining, immunofluorescence and qPCR analysis. RESULTS: After high-salt feeding, compared with the control and negative control group, in the model group the blood pressure increased significantly, the left ventricular ejection fraction (LVEF) and left ventricular fraction shortening (LVFS) were significantly reduced, and the serum NT-proBNP concentration increased significantly (all P<0.05); furthermore, the arrangement of myocardial cells was disordered, the edema was severe, and the degree of myocardial fibrosis was also significantly increased (P<0.05); the protein and mRNA expressions of collagen type I (Col I) were up-regulated (P<0.05), and the mRNA expressions of transforming growth factor β 1 (TGF- β 1), Smad2 and Smad3 were significantly up-regulated (P<0.05). Compared with HF group, after intervention of Shenmai Injection, LVEF and LVFS increased, myocardial morphology was improved, collagen volume fraction decreased significantly (P<0.05), and the mRNA expressions of Col I, TGF- β 1, Smad2 and Smad3, as well as Col I protein expression, were all significantly down-regulated (all P<0.05). CONCLUSION Myocardial fibrosis is the main pathological manifestation of hypertensive heart failure, and Shenmai Injection could inhibit myocardial fibrosis and effectively improve heart failure by regulating TGF-β 1/Smad signaling pathway.
Rats ; Animals ; Stroke Volume ; Sodium Chloride ; Rats, Inbred Dahl ; Ventricular Function, Left ; Heart Failure ; Transforming Growth Factor beta1/metabolism* ; Hypertension ; Fibrosis ; RNA, Messenger

To identify the active constituents in vitro and blood-absorbed ingredients in vivo from Yin Chen Hao decoction provides scientific evidence for probing its prevention and treatment mechanism on acute liver injury. An ultrahigh performance liquid chromatography quadrupole-time of flight-mass spectrometry (UPLC-QTOF/MS) method was applied for analysis of Yin Chen Hao decoction and the serum samples of mice with con-A induced acute liver injury after preventive oral administration for 14 days (the use of all laboratory animals in this study was approved by the Ethics Committee of the Naval Medical University, 19YF1459400). A total of 90 chemical constituents were identified from Yin Chen Hao decoction, mainly were flavonoids, terpenoids, tannins, quinones. 5 prototype compounds were identified in the serum, including chrysophanol, deoxyrhapontin-8-O-gallate, mussaenosidic acid, herniarin, emodin. The established UPLC-QTOF/MS method could efficiently and sensitively identify the constituents in vitro and blood-absorbed ingredients of Yin Chen Hao decoction, primarily clarify the material basis of its hepatoprotective effect, and provided a scientific basis for the quality marker selection and the pharmacodynamic material basis research on the decoction.

This study aims to reveal the endogenous metabolic characteristics of acteoside in the young rat model of purinomycin aminonucleoside nephropathy(PAN) by non-targeted urine metabolomics and decipher the potential mechanism of action. Biochemical indicators in the urine of rats from each group were determined by an automatic biochemical analyzer. The potential biomarkers and related core metabolic pathways were identified by ultra-high performance liquid chromatography coupled with linear ion trap-Orbitrap mass spectrometry(UHPLC-LTQ-Orbitrap MS) combined with principal component analysis(PCA) and orthogonal partial least squares-discriminant analysis(OPLS-DA). MetaboAnalyst 5.0 was used to establish the receiver operating characteristic(ROC) curve for evaluating the clinical diagnostic performance of core metabolites. The results showed that acteoside significantly decreased urinary protein-to-creatinine ratio in PAN young rats. A total of 17 differential metabolites were screened out by non-targeted urine metabolomics in PAN young rats and they were involved in phenylalanine metabolism and phenylalanine, tyrosine and tryptophan biosynthesis. Thirtten differential metabolites were screened by acteoside intervention in PAN young rats, and they were involved in phenylalanine metabolism and arginine and proline metabolism. Among them, leucylproline and acetophenone were the differential metabolites that were significantly recovered after acteoside treatment. These pathways suggest that acteoside treats PAN in young rats by regulating amino acid metabolism. The area under the curve of two core biomarkers, leucylproline and acetophenone, were both greater than 0.9. In summary, acteoside may restore amino acid metabolism by regulating endogenous differential metabolites in PAN young rats, which will help to clarify the mechanism of acteoside in treating chronic glomerulonephritis in children. The characteristic biomarkers screened out have a high diagnostic value for evaluating the treatment of chronic glomerulonephritis in children with acteoside.
Humans ; Child ; Rats ; Animals ; Puromycin Aminonucleoside ; Metabolomics/methods* ; Biomarkers/urine* ; Chromatography, High Pressure Liquid/methods* ; Acetophenones ; Glomerulonephritis ; Phenylalanine ; Amino Acids