Objective To explore the relationship between circadian rhythm genes and the occurrence, development, prognosis, and tumor microenvironment (TME) of lung adenocarcinoma (LUAD). Methods The Cancer Genome Atlas data were used to evaluate the expression, copy number variation, and somatic mutation frequency of circadian gene sets in LUAD. Gene ontology, Kyoto encyclopedia of genes and genomes, and gene set enrichment analysis were used to explore the potential mechanisms by which circadian rhythm genes affected LUAD progression. Cox regression, least absolute shrinkage and selection operator regression, support vector machine recursive feature elimination, and random forest screened circadian genes and established prognostic models, and on this basis constructed nomogram to predict patients’ 1-, 3-, and 5-year survival rates. Kaplan-Meier survival curves, receiver operating characteristic (ROC) curves, and time-dependent ROC curves were drawn to evaluate the predictive ability of the model, and the external dataset of GEO further verified the prognostic value of the prediction model. In addition, we evaluated the association of the prognostic model with immune cells and immune checkpoint genes. Single cell RNA sequencing (scRNA-seq) analysis was used to explore the molecular characteristics between prognostically relevant circadian genes and different immune cell populations in TME. Results Differentially expressed circadian rhythm genes were mainly enriched in biological processes related to cGMP-PKG signaling pathway, lipid and atherosclerosis, and JAK-STAT signaling pathway. Seven circadian rhythm genes: LGR4, CDK1, KLF10, ARNTL2, RORA, NPAS2, PTGDS were screened out, and a RiskScore model was established. According to the median RiskScore, samples were divided into a high-risk group and a low-risk group. Compared with patients in the low-risk group, patients in the high-risk group showed a poorer prognosis (P<0.001). Immunological characterization analysis showed that there were differences in the infiltration of multiple immune cells between the low-risk group and high-risk group. Most immune checkpoint genes had higher expression levels in the high-risk group than those in the low-risk group, and RiskScore was positively correlated with the expression of CD276, TNFSF4, PDCD1LG2, CD274, and TNFRSF9, and negatively correlated with the expression of CD40LG and TNFSF15. The scRNA-seq analysis showed that RORA and KLF10 were mainly expressed in natural killer cells. Conclusion The prognostic model based on seven feature circadian rhythm genes has certain predictive value for predicting survival of LUAD patients. Dysregulated expression of circadian genes may regulate the occurrence, progression as well as prognosis of LUAD through affecting TME, which provides a possible direction for finding potential strategies for treating LUAD from the perspective of mechanism by which circadian disorder affects immune cells.

Objective To determine the prognostic biomarkers and new therapeutic targets of the lung adenocarcinoma (LUAD), based on which to establish a prediction model for the survival of LUAD patients. Methods An integrative analysis was conducted on gene expression and clinicopathologic data of LUAD, which were obtained from the UCSC database. Subsequently, various methods, including screening of differentially expressed genes (DEGs), Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis and Gene Set Enrichment Analysis (GSEA), were employed to analyze the data. Cox regression and least absolute shrinkage and selection operator (LASSO) regression were used to establish an assessment model. Based on this model, we constructed a nomogram to predict the probable survival of LUAD patients at different time points (1-year, 2-year, 3-year, 5-year, and 10-year). Finally, we evaluated the predictive ability of our model using Kaplan-Meier survival curves, receiver operating characteristic (ROC) curves, and time-dependent ROC curves. The validation group further verified the prognostic value of the model. Results The different-grade pathological subtypes' DEGs were mainly enriched in biological processes such as metabolism of xenobiotics by cytochrome P450, natural killer cell-mediated cytotoxicity, antigen processing and presentation, and regulation of enzyme activity, which were closely related to tumor development. Through Cox regression and LASSO regression, we constructed a reliable prediction model consisting of a five-gene panel (MELTF, MAGEA1, FGF19, DKK4, C14ORF105). The model demonstrated excellent specificity and sensitivity in ROC curves, with an area under the curve (AUC) of 0.675. The time-dependent ROC analysis revealed AUC values of 0.893, 0.713, and 0.632 for 1-year, 3-year, and 5-year survival, respectively. The advantage of the model was also verified in the validation group. Additionally, we developed a nomogram that accurately predicted survival, as demonstrated by calibration curves and C-index. Conclusion We have developed a prognostic prediction model for LUAD consisting of five genes. This novel approach offers clinical practitioners a personalized tool for making informed decisions regarding the prognosis of their patients.

Gastric polyps, as a common digestive system disease, have shown an increasing detection rate and are regarded as one of the precancerous states of gastric cancer. In TCM, gastric polyps can be classified as diseases such as "stomachache" and "fullness and distension in the stomach". TCM holds that the disease is often related to the accumulation of pathogenic factors such as phlegm and blood stasis in the body to form "kenang", which has the characteristics of insidiousness, stubbornness, and recurrence. Deficiency of healthy qi and disorder of qi movement can lead to the adhesion of phlegm and blood stasis, which highly aligns with the etiology and pathogenesis of gastric polyps. The treatment principles are promoting blood circulation to remove blood stasis, regulating qi movement, and strengthening the body resistance to consolidate the essence. Understanding the etiology, pathogenesis, and treatment principles of gastric polyps from the theory of "kenang" has important guiding significance for clinical diagnosis and treatment, providing new ideas and methods for the treatment of gastric polyps.

In recent years,more and more researches has focused on the correlation between cognitive activity and physiological variables.The change of pupil is regarded as an important target in the cognitive process,and has become a hot research field.This review focuses on the three key brain regions that regulate pupil change,and reflects the neurophysiological mechanism behind pupil change by elaborating the neural pathways related to pupil change and cognitive performance.Based on recent studies on pupil change in cognitive diseases,it aims to promote the application of pupil change in the field of cognitive science in the future.

Objective:To investigate the role of Gasdermin E (GSDME) -mediated keratinocyte pyroptosis induced by Cutibacterium acnes ( C.acnes) in the pathogenesis of acne. Methods:The human immortalized keratinocyte HaCaT cells were stimulated with heat-inactived C.acnes for 15 minutes to 24 hours, and Western blot analysis was performed to determine the expression of cleaved GSDME (GSDME-NT) in HaCaT cells at different time points. Skin tissue samples were collected from 5 acne patients and 4 healthy controls, who visited the Hospital for Skin Diseases, Chinese Academy of Medical Sciences from January 2 to December 1, 2024; additionally, 3 samples of acne cyst contents and 3 samples of normal follicle contents were collected. Immunohistochemical study and Western blot analysis were conducted to determine GSDME-NT expression in the epidermis. Enzyme-linked immunosorbent assay (ELISA) was performed to detect levels of interleukin (IL) -1β and tumor necrosis factor (TNF) -α in acne cyst or normal follicle contents. GSDME-knockdown HaCaT cells were constructed by transfection with lentivirus carrying GSDME-shRNA, and HaCaT cells transfected with lentivirus carrying the nonsense sequence control (NC) served as controls; ELISA was performed to detect the levels of IL-1β and TNF-α in GSDME-knockdown HaCaT cells after C. acnes stimulation ( C. acnes + GSDME knockdown group) , as well as in the phosphate-buffered saline (PBS) + NC group, C. acnes + NC group, and PBS + GSDME knockdown group. Western blot analysis was conducted to determine the GSDME-NT expression in HaCaT cells pretreated with or without retinol after C. acnes stimulation. Results:The cleavage of GSDME in HaCaT cells began at 1 hour after in vitro C. acnes stimulation, and GSDME-NT could be detected at this time. Compared with the control epidermis, the proportion of GSDME-NT-positive HaCaT cells (9.34% ± 2.92% vs. 3.05% ± 1.14%, t = -3.47, P = 0.026) and GSDME-NT protein expression levels ( t = -3.51, P = 0.025) significantly increased in the lesional epidermis of acne patients. The levels of IL-1β and TNF-α were significantly higher in the acne cyst contents than in the normal follicle contents (IL-1β: 1 337.24 [1 182.32, 2 230.61] pg/ml vs. 0.00 [0.00, 108.21] pg/ml, Z = 1.99, P = 0.046; TNF-α: 811.31 [438.26, 817.73] pg/ml vs. 46.67 [12.41, 53.21] pg/ml, Z = 1.96, P = 0.049) . ELISA showed that the levels of IL-1β and TNF-α were significantly higher in the C. acnes + NC group (12.12 ± 3.07 pg/ml, 26.06 ± 1.57 pg/ml, respectively) than in the PBS + NC group (3.73 ± 2.24 pg/ml, 10.14 ± 0.79 pg/ml, P = 0.003, < 0.001, respectively) ; compared with the C. acnes + NC group, the levels of IL-1β and TNF-α significantly decreased in the C. acnes + GSDME knockdown group (3.38 ± 0.93 pg/ml, 12.67 ± 2.10 pg/ml, P = 0.003, < 0.001, respectively) . The GSDME-NT expression was significantly lower in the retinol + C. acnes group than in the C. acnes group ( P = 0.029) . Conclusion:C. acnes may induce GSDME-mediated pyroptosis in keratinocytes, thereby promoting the release of inflammatory factors and aggravating the inflammatory response in acne, while retinol may be able to inhibit this process.

Objective:To investigate the role of Gasdermin E (GSDME) -mediated keratinocyte pyroptosis induced by Cutibacterium acnes ( C.acnes) in the pathogenesis of acne. Methods:The human immortalized keratinocyte HaCaT cells were stimulated with heat-inactived C.acnes for 15 minutes to 24 hours, and Western blot analysis was performed to determine the expression of cleaved GSDME (GSDME-NT) in HaCaT cells at different time points. Skin tissue samples were collected from 5 acne patients and 4 healthy controls, who visited the Hospital for Skin Diseases, Chinese Academy of Medical Sciences from January 2 to December 1, 2024; additionally, 3 samples of acne cyst contents and 3 samples of normal follicle contents were collected. Immunohistochemical study and Western blot analysis were conducted to determine GSDME-NT expression in the epidermis. Enzyme-linked immunosorbent assay (ELISA) was performed to detect levels of interleukin (IL) -1β and tumor necrosis factor (TNF) -α in acne cyst or normal follicle contents. GSDME-knockdown HaCaT cells were constructed by transfection with lentivirus carrying GSDME-shRNA, and HaCaT cells transfected with lentivirus carrying the nonsense sequence control (NC) served as controls; ELISA was performed to detect the levels of IL-1β and TNF-α in GSDME-knockdown HaCaT cells after C. acnes stimulation ( C. acnes + GSDME knockdown group) , as well as in the phosphate-buffered saline (PBS) + NC group, C. acnes + NC group, and PBS + GSDME knockdown group. Western blot analysis was conducted to determine the GSDME-NT expression in HaCaT cells pretreated with or without retinol after C. acnes stimulation. Results:The cleavage of GSDME in HaCaT cells began at 1 hour after in vitro C. acnes stimulation, and GSDME-NT could be detected at this time. Compared with the control epidermis, the proportion of GSDME-NT-positive HaCaT cells (9.34% ± 2.92% vs. 3.05% ± 1.14%, t = -3.47, P = 0.026) and GSDME-NT protein expression levels ( t = -3.51, P = 0.025) significantly increased in the lesional epidermis of acne patients. The levels of IL-1β and TNF-α were significantly higher in the acne cyst contents than in the normal follicle contents (IL-1β: 1 337.24 [1 182.32, 2 230.61] pg/ml vs. 0.00 [0.00, 108.21] pg/ml, Z = 1.99, P = 0.046; TNF-α: 811.31 [438.26, 817.73] pg/ml vs. 46.67 [12.41, 53.21] pg/ml, Z = 1.96, P = 0.049) . ELISA showed that the levels of IL-1β and TNF-α were significantly higher in the C. acnes + NC group (12.12 ± 3.07 pg/ml, 26.06 ± 1.57 pg/ml, respectively) than in the PBS + NC group (3.73 ± 2.24 pg/ml, 10.14 ± 0.79 pg/ml, P = 0.003, < 0.001, respectively) ; compared with the C. acnes + NC group, the levels of IL-1β and TNF-α significantly decreased in the C. acnes + GSDME knockdown group (3.38 ± 0.93 pg/ml, 12.67 ± 2.10 pg/ml, P = 0.003, < 0.001, respectively) . The GSDME-NT expression was significantly lower in the retinol + C. acnes group than in the C. acnes group ( P = 0.029) . Conclusion:C. acnes may induce GSDME-mediated pyroptosis in keratinocytes, thereby promoting the release of inflammatory factors and aggravating the inflammatory response in acne, while retinol may be able to inhibit this process.

The exoskeleton robot for lower limb medical rehabilitation in foreign countries and China was introduced in terms of the research status,structure and working principle,and analysis was carried out over its key technologies.It's pointed out the exoskeleton robot for lower limb medical rehabilitation would be enhanced in energy endurance,safety and comfort,individualized and intelligent control,modularity and lightweight design.[Chinese Medical Equipment Journal,2025,46(1):88-100]

The exoskeleton robot for lower limb medical rehabilitation in foreign countries and China was introduced in terms of the research status,structure and working principle,and analysis was carried out over its key technologies.It's pointed out the exoskeleton robot for lower limb medical rehabilitation would be enhanced in energy endurance,safety and comfort,individualized and intelligent control,modularity and lightweight design.[Chinese Medical Equipment Journal,2025,46(1):88-100]

Objective To explore the value of constructing a model to predict the number of positive cores in systematic biopsy in prostate cancer(PCa)using a combination of radiomics features based on magnetic resonance imaging and clinical indicators.Methods Retrospectively collected magnetic resonance imaging and clinical data from two medical institutions(Gansu Provincial Hospital from January 2018 to February 2023,Zhangye People's Hospital Affiliated to Hexi College from April 2020 to February 2023).The 155 patients from Gansu Provincial Hospital were randomly divided into a training set(n=109;80 cases with positive needle count≥6 and 29 cases with positive needle count<6)and an internal validation set(n=46;34 cases with positive needle count≥6 and 12 cases with positive needle count<6)in a 7:3 ratio.The 43 patients from Zhangye People's Hospital Affiliated to Hexi College were used as external validation set.Small field of view high-resolution T2-weighted imaging(sFOV HR-T2WI)and contrast-enhanced delayed-phase images were selected to extract radiomic features from the three-dimensional region of interest of the entire prostate,and radiomics model was constructed and Radscores calculated after dimensionality reduction and feature selection.Univariate and multivariate logistic regressions were used to screen for independent risk factors for positive cores in systematic biopsy.Nomogram was constructed using Radscore and clinical independent risk factors to predict the number of positive cores in systematic biopsy in PCa patients,which was then externally validated.Results Age,alkaline phosphatase(ALP),free prostate specific antigen(FPSA),total prostate specific antigen(TPSA),FPSA/TPSA ratio,and prostate specific antigen density(PSAD)were not statistically significantly different between the training,internal validation,and external validation sets(P>0.05).FPSA,TPSA,FPSA/TPSA ratio,and PSAD were significantly different between the positive cores<6 and positive cores≥6 groups(P<0.001).Univariate logistic regression analysis showed that FPSA(P<0.001),TPSA(P<0.001),FPSA/TPSA ratio(P=0.001),PSAD(P<0.001),and Radscore(P<0.001)were risk factors for positive cores in systematic biopsy in PCa.Multivariate logistic regression analysis showed that PSAD(OR=0.251,95%CI 0.063-0.996,P=0.049)and Radscore(OR=1.990,95%CI 1.409-2.812,P<0.001)were independent risk factors for positive cores in systematic biopsy in PCa.The clinical models achieved AUCs of 0.849(95%CI 0.774-0.924),0.817(95%CI 0.693-0.941),and 0.631(95%CI 0.439-0.822);the 12 features for radiomics models are derived solely from sFOV HR-T2WI,the radiomics models achieved AUCs of 0.868(95%CI 0.791-0.945),0.846(95%CI 0.695-0.996),and 0.815(95%CI 0.660-0.970);the nomogram achieved AUCs of 0.921(95%CI 0.869-0.973),0.868(95%CI 0.743-0.992),and 0.840(95%CI 0.702-0.978)in the training set,internal validation set,and external validation set,respectively.Conclusions The combination of radiomic features extracted from sFOV HR-T2WI and PSAD can preoperatively be used as a noninvasive manner to predict the number of positive cores of the PCa patients.This approach has a certain value in risk stratification of PCa patients and guiding personalized clinical management.

Objective To screen key autophagy-related genes in alcoholic hepatitis (AH) and investigate potential biomarkers and therapeutic targets for AH. Methods Two AH gene chips in Gene Expression Omnibus (GEO) and autophagy-related data sets obtained from MSigDB and GeneCards databases were used, and the key genes were verified and obtained by weighted gene co-expression network analysis (WGCNA). The screened key genes were subject to gene ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), protein-protein interaction (PPI) and immune infiltration analyses. Messenger RNA (mRNA)- microRNA (miRNA) network was constructed to analyze the expression differences of key autophagy-related genes during different stages of AH, which were further validated by real-time fluorescence quantitative polymerase chain reaction (RT-qPCR) in the liver tissues of AH patients and mice. Results Eleven autophagy-related genes were screened in AH (EEF1A2, CFTR, SOX4, TREM2, CTHRC1, HSPB8, TUBB3, PRKAA2, RNASE1, MTCL1 and HGF), all of which were up-regulated. In the liver tissues of AH patients and mice, the relative expression levels of SOX4, TREM2, HSPB8 and PRKAA2 in the AH group were higher than those in the control group. Conclusions SOX4, TREM2, HSPB8 and PRKAA2 may be potential biomarkers and therapeutic targets for AH.