Nuclear factor-erythroid 2-related factor 2 （Nrf2）/glutathione peroxidase 4 （GPX4） signaling pathway plays a key role in the occurrence and development of tumors， and is involved in tumor cell proliferation， apoptosis， ferroptosis， invasion， migration， and drug resistance. Based on the Nrf2/GPX4 signaling pathway， this paper summarizes the research progress of the anti- tumor effects of traditional Chinese medicine. It is found that flavonoids （ginkgetin， luteolin， etc.）， terpenoids （atractylenolide， cucurbitacin B， etc.）， saponins （polyphyllin Ⅰ， polyphyllin Ⅶ）， ester （brusatol） and other effective components， and traditional Chinese medicine extracts （total coumarins in Pileostegia tomentella and total flavonoids of Pterocarya hupehensis Skan）， traditional Chinese medicine compounds （Fushao diqin fang， Xiaoai jiedu fang， etc.） can promote ferroptosis in tumor cells by inhibiting Nrf2/GPX4 signaling pathway and the expressions of its upstream and downstream factor proteins， as well as by increasing Fe2+ levels and lipid peroxidation， thereby exerting an antitumor effect.

Background: Kidney transplant recipients (KTRs) are at risk of coronavirus disease 2019 (COVID-19) complications and mortality. This study examined factors associated with moderate, severe, or critical COVID-19 infection among KTRs during the Omicron-predominant period. Methods: This single-center retrospective study included KTRs aged ≥18 years diag-nosed with COVID-19 between January 1, 2022, and December 31, 2023. Mild infection was defined as symptomatic illness without lower respiratory tract infection (LRTI);moderate infection as LRTI without hypoxia; severe infection as oxygen saturation <94% on room air; and critical infection as respiratory failure, septic shock, or multiple organ dysfunction. We compared the characteristics of KTRs with asymptomatic or mild COVID-19 versus those with moderate to critical disease. Logistic regression analysis was performed to identify factors associated with moderate to critical illness. Results: Most KTRs (94.4%) had received three or more vaccine doses. Of 603 episodes of COVID-19 infection during the study period, 554 (91.9%) were asymptomatic or mild, while 49 (8.1%) were moderate to critical. Multivariate analysis revealed that older age (adjusted odds ratio [aOR], 1.037; 95% confidence interval [CI], 1.006–1.069) and longer symptom duration before seeking care (aOR, 1.288; 95% CI, 1.155–1.436) were associated with higher odds of moderate to critical disease. Protective factors included receiving a vaccine booster within the past year (aOR, 0.414; 95% CI, 0.212–0.809) and higher glomerular filtration rate (aOR, 0.971; 95% CI, 0.956–0.986). Conclusions KTRs should seek care early if infected with COVID-19 and keep their COVID-19 vaccine boosters updated within 1 year of the last dose.

Background: Kidney transplant recipients (KTRs) are at risk of coronavirus disease 2019 (COVID-19) complications and mortality. This study examined factors associated with moderate, severe, or critical COVID-19 infection among KTRs during the Omicron-predominant period. Methods: This single-center retrospective study included KTRs aged ≥18 years diag-nosed with COVID-19 between January 1, 2022, and December 31, 2023. Mild infection was defined as symptomatic illness without lower respiratory tract infection (LRTI);moderate infection as LRTI without hypoxia; severe infection as oxygen saturation <94% on room air; and critical infection as respiratory failure, septic shock, or multiple organ dysfunction. We compared the characteristics of KTRs with asymptomatic or mild COVID-19 versus those with moderate to critical disease. Logistic regression analysis was performed to identify factors associated with moderate to critical illness. Results: Most KTRs (94.4%) had received three or more vaccine doses. Of 603 episodes of COVID-19 infection during the study period, 554 (91.9%) were asymptomatic or mild, while 49 (8.1%) were moderate to critical. Multivariate analysis revealed that older age (adjusted odds ratio [aOR], 1.037; 95% confidence interval [CI], 1.006–1.069) and longer symptom duration before seeking care (aOR, 1.288; 95% CI, 1.155–1.436) were associated with higher odds of moderate to critical disease. Protective factors included receiving a vaccine booster within the past year (aOR, 0.414; 95% CI, 0.212–0.809) and higher glomerular filtration rate (aOR, 0.971; 95% CI, 0.956–0.986). Conclusions KTRs should seek care early if infected with COVID-19 and keep their COVID-19 vaccine boosters updated within 1 year of the last dose.

Background: Kidney transplant recipients (KTRs) are at risk of coronavirus disease 2019 (COVID-19) complications and mortality. This study examined factors associated with moderate, severe, or critical COVID-19 infection among KTRs during the Omicron-predominant period. Methods: This single-center retrospective study included KTRs aged ≥18 years diag-nosed with COVID-19 between January 1, 2022, and December 31, 2023. Mild infection was defined as symptomatic illness without lower respiratory tract infection (LRTI);moderate infection as LRTI without hypoxia; severe infection as oxygen saturation <94% on room air; and critical infection as respiratory failure, septic shock, or multiple organ dysfunction. We compared the characteristics of KTRs with asymptomatic or mild COVID-19 versus those with moderate to critical disease. Logistic regression analysis was performed to identify factors associated with moderate to critical illness. Results: Most KTRs (94.4%) had received three or more vaccine doses. Of 603 episodes of COVID-19 infection during the study period, 554 (91.9%) were asymptomatic or mild, while 49 (8.1%) were moderate to critical. Multivariate analysis revealed that older age (adjusted odds ratio [aOR], 1.037; 95% confidence interval [CI], 1.006–1.069) and longer symptom duration before seeking care (aOR, 1.288; 95% CI, 1.155–1.436) were associated with higher odds of moderate to critical disease. Protective factors included receiving a vaccine booster within the past year (aOR, 0.414; 95% CI, 0.212–0.809) and higher glomerular filtration rate (aOR, 0.971; 95% CI, 0.956–0.986). Conclusions KTRs should seek care early if infected with COVID-19 and keep their COVID-19 vaccine boosters updated within 1 year of the last dose.

Background: Kidney transplant recipients (KTRs) are at risk of coronavirus disease 2019 (COVID-19) complications and mortality. This study examined factors associated with moderate, severe, or critical COVID-19 infection among KTRs during the Omicron-predominant period. Methods: This single-center retrospective study included KTRs aged ≥18 years diag-nosed with COVID-19 between January 1, 2022, and December 31, 2023. Mild infection was defined as symptomatic illness without lower respiratory tract infection (LRTI);moderate infection as LRTI without hypoxia; severe infection as oxygen saturation <94% on room air; and critical infection as respiratory failure, septic shock, or multiple organ dysfunction. We compared the characteristics of KTRs with asymptomatic or mild COVID-19 versus those with moderate to critical disease. Logistic regression analysis was performed to identify factors associated with moderate to critical illness. Results: Most KTRs (94.4%) had received three or more vaccine doses. Of 603 episodes of COVID-19 infection during the study period, 554 (91.9%) were asymptomatic or mild, while 49 (8.1%) were moderate to critical. Multivariate analysis revealed that older age (adjusted odds ratio [aOR], 1.037; 95% confidence interval [CI], 1.006–1.069) and longer symptom duration before seeking care (aOR, 1.288; 95% CI, 1.155–1.436) were associated with higher odds of moderate to critical disease. Protective factors included receiving a vaccine booster within the past year (aOR, 0.414; 95% CI, 0.212–0.809) and higher glomerular filtration rate (aOR, 0.971; 95% CI, 0.956–0.986). Conclusions KTRs should seek care early if infected with COVID-19 and keep their COVID-19 vaccine boosters updated within 1 year of the last dose.

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.

Aim To study the mechanism of quereetin (Que) inhibiting mitochondrial damage induced by Aβ

This study aimed to investigate the effect of Flos Farfarae (FF) fumigation on cigarette smoke-induced lung injury mice, and analyze the metabolic profile of lung tissue by metabolomics. All animal experiments were conducted under the guidance and approval of the Animal Ethics Review Committee of Shanxi University (Approval number: SXULL2019014). By using HS-GC-MS to analyze volatile components of Flos Farfarae, 23 compounds were identified. The results showed that FF fumigation improved the lung tissue morphology of cigarette smoke-induced lung injury mice, lowered the levels of interleukin 6 (IL-6) and interleukin-1β (IL-1β). The lung tissue samples were applied for metabolomic analysis based on UHPLC-QTOF MS, the results showed that 70 metabolites were changed in the lung tissue of mice after cigarette exposure, and 35 of them could be regulated, including lysophosphatidylcholine (LPC), 12-HETE, adenosine, and xanthine. These metabolites, such as LPC, 12-HETE, adenosine, and xanthine were mainly associated with the body's inflammatory response. It was observed that these metabolites are primarily involved in purine metabolism, arachidonic acid metabolism, phospholipid metabolism, and pyruvate metabolism pathways. These findings suggest that the volatile terpenoids in the FF may regulate the metabolites associated with the inflammatory response in the lung tissue, such as lysophosphatidylcholine, 12-HETE, and adenosine, which could further alleviate lung inflammation induced by cigarette smoke through the metabolic pathways of purine metabolism and others. This study proved the scientific basis of the traditional application of FF fumigation, and provided a theoretical basis for the further product development.

Tumor cells use glycolysis to provide material and energy under hypoxic conditions to meet the energy requirements for rapid growth and proliferation， namely the Warburg effect. Even under aerobic conditions， tumor cells mainly rely on glycolysis to provide energy. Therefore， glucose transporter protein 1（GLUT1）， which is involved in the process of glucose metabolism， plays an important role in tumorigenesis， development and drug resistance， and is considered to be one of the important targets in the treatment of malignant tumors. In recent years， research on tumor glucose metabolism has gradually become a hot spot. It has been shown that various factors are involved in the regulation of tumor energy metabolism， among which the role of GLUT1 is the most critical. In this paper， the authors reviewed the latest research progress of GLUT1-targeted traditional Chinese medicine（TCM） active ingredient nano-delivery system in tumor therapy， aiming to reveal the feasibility and effectiveness of this system in the delivery of chemotherapeutic drugs. The GLUT1-targeted TCM active ingredient nano-delivery system can overcome the bottleneck of the traditional targeting strategy as well as the high-permeability long retention（EPR） effect. In summary， the authors believe that the GLUT1-targeted TCM active ingredient nano-delivery system provides a new strategy for targeted treatment of tumors and has a broad application prospect in tumor prevention and treatment.

Objective To analyze the correlation between the ELL2 gene 1119 T>C polymorphism and the susceptibility to pleomorphic adenoma of the salivary gland.Methods The pedigree of the pleomorphic adenoma family of salivary gland was drawn.The exons of ELL2 gene in 5 members of salivary pleomorphic adenoma family were sequenced.A case-control study was conducted.One hundred and twelve patients with pleomorphic adenoma of the salivary gland who visited the Department of Oral and Maxillofacial Surgery of Shanxi Bethune Hospital from January 2016 to July 2020 were taken as case group,and 176 healthy examinees from January 2019 to January 2020 were taken as control group with age and sex as matching conditions.The 1119 T>C polymorphism of ELL2 genes in the two groups were detected with high resolution melting(HRM)curve.Chi-square test was adopted to analyze the correlation between gene polymorphism and the occurrence of pleomorphic adenoma of the salivary gland,stratified analysis was performed to evaluate the synergistic effect of smoking and genotype,and real time quantitative reverse transcription polymerase chain reaction(RT-PCR)was used to detect the expression level of ELL2 in individuals with different genotypes.Results The 1119 T>C polymorphism site existed in the exon 8 of ELL2 gene in a family with pleomorphic adenoma of salivary gland.The results of case-control study showed that the genotype frequency of homozygous CC was significantly higher in patients with pleomorphic adenoma of salivary gland than that in the controls(24.1%vs.11.9%,P=0.002).Homozygous CC was associated with increased risk for developing pleomorphic adenoma of salivary gland(OR=3.059,95%CI 1.494-6.263)in this cohort.Stratification analysis showed that smoking and 1119C allele cooperated to increase the risk of pleomorphic adenoma of salivary gland(OR=3.200,95%CI 1.460-7.014).The expression level of ELL2 mRNA in CC genotype was significantly higher than that in individuals with CT or TT genotype(P<0.05).Conclusion The genetic variation of ELL2 may play an important role in the occurrence of pleomorphic adenoma of salivary gland,and smoking combined with the 1119C allele increased the risk of this disease.