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.

Diabetic kidney disease （DKD） is one of the most common microvascular complications of diabetes. Traditional Chinese medicine （TCM） plays a unique role in improving clinical symptoms， reducing proteinuria， and delaying the initiation of dialysis. Over time， scholars have held diverse views on the etiology， pathogenesis， and treatment strategies of DKD. This paper systematically reviews the etiology and pathogenesis， syndrome differentiation and treatment， and medication rules of DKD， aiming to provide a reference for clinical practice. Regarding etiology， DKD is closely related to insufficient innate endowment， improper diet， emotional disorders， overexertion， and prolonged diabetes. Its pathogenesis evolves dynamically. Specifically， early stage is characterized by Yin deficiency with dryness-heat and subtle discharge. Middle stage involves both Qi and Yin deficiency with dampness and blood stasis. Late stage presents Yin and Yang deficiency with intrinsic turbidity toxins. Blood stasis and sugar toxicity are the core pathological factors， persisting throughout the disease course and accelerating renal collateral damage and fibrosis. In terms of diagnosis and treatment， contemporary scholars advocate stage-specific treatment， emphasize the integration of prevention and therapy， recommend whole-course management， and support comprehensive TCM and Western medicine approaches. Analysis of medication rules shows that treatment consistently addresses the core principle of deficiency at the root and excess at the surface， strengthens the body while dispelling pathogenic factors， emphasizes promoting blood circulation and removing blood stasis， consolidates the kidney and astringes essence， clears Fu-organs and eliminates turbidity and toxins， invigorates the spleen， replenishes Qi， protects the stomach， and advocates treatment based on pathogenic wind. Further refinement of the academic thoughts of classical TCM masters and research into innovative pathogenesis theories and clinically effective prescriptions are needed to enhance TCM's ability to prevent and treat major clinical diseases， including DKD.

Objective:To analyze the epidemiological characteristics and infection sources of cholera in China from 2005 to 2024.Methods:A total of 2 066 cholera cases were included in the study, which were obtained from the China Disease Control and Prevention Information System (CDPCIS) of China CDC. The information on cholera clusters was downloaded from the National Public Health Emergency Event Surveillance System (PHEESS) of China CDC. A total of 128 cholera clusters were included and analyzed in this study. The epidemiological characteristics and infection sources of cholera were analyzed. The Jointpoint model was applied to analyze the incidence trend, and annual percentage change (APC) was also quantified.Results:From 2005 to 2024, a total of 2 066 cholera cases were reported, with an average of 103 cases reported annually. Specifically, the incidence showed a marked downward trend from 2004 to 2015 ( APC=-26.78%, P=0.006). During 2015-2024, the disease remained at low endemic levels, with an average of 18 reported cases annually ( APC=-2.68%, P=0.807). Cholera peak season was from May to October. A total of 24 provinces reported cholera cases, which were mainly distributed in Zhejiang, Fujian, Beijing, Jiangsu, Anhui, Guangdong, and Hainan provinces, accounting for 78.03% of the total cases. Pathogen surveillance indicated an alternating prevalence of Vibrio cholerae serogroups O1 and O139 among laboratory-confirmed cases between 2005 and 2024. There was a disparity in the dominant serogroup of Vibrio cholerae by region. The results from 128 cholera clusters indicated that cholera outbreaks frequently occurred in rural banquets (64.84%), followed by regular restaurants (13.28%). Among these, 63 clusters (49.22%) with identified infection sources indicated that foodborne transmission (95.24%) was the primary mode of cholera transmission, which mainly through seafood and aquatic products, such as soft-shelled turtles, shrimp and shellfish. The characteristics of cholera clusters caused by Vibrio cholerae serogroups O1 and O139 showed statistically significant differences in scale, attack rate, place of residence, setting, and infection source ( P<0.05). Conclusion:Cholera incidence has remained consistently low since 2015 in China, mainly in sporadic cases. Rural gatherings (e.g., wedding banquets) are the main settings for cholera clusters. The main infection sources are predominantly caused by cross-contamination due to improper processing practices of aquatic products, such as soft-shelled turtles.

Objective:The objective of this study was to understand the incidence, spatial and temporal distribution characteristics and trends of bacillary dysentery in China from 2005 to 2024 in order to identify the high-risk groups and reveal the potential risk factors and to provide a scientific basis for optimizing the allocation of preventive and control resources, formulating targeted intervention strategies and assessing the effectiveness of the measures.Methods:The nationally reported incidence data of bacillary dysentery was collected from 2005 to 2024 in the Chinese Center for Disease Control and Prevention National Notifiable Diseases Reporting Information System. Descriptive epidemiological methods were used to analyze the population characteristics of bacillary dysentery cases. A Joinpoint regression model was constructed to examine long-term trends in reported incidence rates and spatial dynamic window scanning statistics were applied to detect spatial clusters of bacillary dysentery cases.Results:Between 2005 and 2024, 3 520 247 cases of bacillary dysentery were reported across China, with an average incidence rate of 12.88 per 100 000 people, after which the rate of decline decreased. The incidence rate showed a general downward trend, featuring a significant inflection point in 2016. It exhibited marked seasonality, peaking from May to October (summer-autumn), which weakened over time. From 2005 to 2024, the most likely clusters were in Beijing and Tianjin. Males, infants, the elderly, farmers, and children not in daycare showed many cases.Conclusions:The results revealed that the peak incidence of bacillary dysentery in China from 2005 to 2024 was featured in the summer-autumn months. High-incidence areas were mainly Beijing and Tianjin. The key groups, including males, infants, the elderly, farmers and children not in daycare, were identified. Enhancing surveillance, targeted health education, and preventive measures, especially in these key populations and in regions where the disease shows a high incidence should be strengthened.

OBJECTIVE To investigate the distribution of pathogenic bacteria,imaging manifestations on single photon emission computed tomography/computed tomography(SPECT/CT)and the role of Wnt/β-catenin path-way in upper urinary tract infections.METHODS From Jan.2021 to Jan.2024,53 patients with upper urinary tract infection and 53 urinary calculi patients without upper urinary tract infections who had urinary system stones were selected from the Second Hospital of Tianjin Medical University as the infected group and the non-infected group,respectively.The distribution of pathogens in the infected group,SPECT/CT imaging manifestations and SPECT/CT imaging manifestations after 7 days of anti-infective treatment were statistically analyzed and com-pared.The levels of Wnt-1 andβ-catenin in both groups and the infection group before and after 3 and 7 days of an-ti-infective treatment were compared.The diagnostic values of Wnt-1 andβ-catenin for urinary calculi complicated with upper urinary tract infection were analyzed.RESULTS A total of 53 strains were yielded from the middle-seg-ment urine of the infection group,predominantly gram-negative bacteria.SPECT/CT imaging showed small nodu-lar dense shadows were in the upper segment of left ureter,the upper segment of the ureter,renal pelvis and calyx dilated,and visible striated shadows were around the kidney after 7 days of anti-infective treatment,the cystic low-density shadow under the left renal capsule was basically absorbed,the perirenal strip shadow slightly re-duced,but the perinephric fascia remained thickened,and the surrounding fat space was blurred.Wnt-1 and β-catenin levels elevated in the infection group compared with the non-infection group(P<0.05).The area under the curveof combined detection of Wnt-1 andβ-catenin was 0.907.CONCLUSIONS Gram-negative bacteria are the main pathogens causing upper urinary tract infections in patients with urinary calculi.SPECT/CT imaging shows inflammatory changes,and the Wnt/β-catenin pathway is activated.The combination of Wnt-1 andβ-catenin has high diagnostic value.After anti-infective treatment,the inflammation showed on SPECT/CT imaging improves and the Wnt/β-catenin pathway is inhibited.

Purpose To explore the diagnostic efficacy of texture analysis in grading multiple ligament injuries of the knee Joint.Materials and Methods MRI images of 203 patients with knee injuries in the Second Affiliated Hospital of Shantou University School of Medicine from June 2018 to September 2020 were retrospectively collected,and then graded the injuries of multiple ligaments.Extraction of texture features and discriminant analysis were accomplished by MaZda software.Spearman correlation analysis and LASSO penalized Logistic regression analysis were used to further explore the differential diagnostic efficacy of each texture parameter for grading knee ligament injuries.Results(1)MaZda software was found to have the highest diagnostic efficacy for patellar ligament injury grading by using different texture feature screening methods in combination with discriminant analysis.Non-linear discriminant analysis had the lowest misclassification rate of 4.43%.(2)The texture parameters that were ultimately included in the analysis of the subjects'work characteristic curves appeared more frequently in the gray level co-occurrence matrix and the run length matrix.(3)The area under the curve of the texture parameters finally included in the analysis were 0.870-0.975,0.772-0.912,0.836-0.929 and 0.766-0.920,respectively in patellar ligament,anterior cruciate ligament,posterior cruciate ligament and lateral collateral ligament for the diagnosis of knee ligament injury grading.The diagnostic efficacy for patellar ligament injury grading was the highest,which was consistent with the lowest misclassification rate for patellar ligament in the discriminant analysis of texture features.And the texture parameters ultimately included in patellar ligament were all highly correlated with its injury grading.Conclusion The texture analysis technique has high diagnostic efficacy for grading knee ligament injuries,and can provide a more accurate diagnostic imaging basis for the clinic.

Objective:The objective of this study was to understand the incidence, spatial and temporal distribution characteristics and trends of bacillary dysentery in China from 2005 to 2024 in order to identify the high-risk groups and reveal the potential risk factors and to provide a scientific basis for optimizing the allocation of preventive and control resources, formulating targeted intervention strategies and assessing the effectiveness of the measures.Methods:The nationally reported incidence data of bacillary dysentery was collected from 2005 to 2024 in the Chinese Center for Disease Control and Prevention National Notifiable Diseases Reporting Information System. Descriptive epidemiological methods were used to analyze the population characteristics of bacillary dysentery cases. A Joinpoint regression model was constructed to examine long-term trends in reported incidence rates and spatial dynamic window scanning statistics were applied to detect spatial clusters of bacillary dysentery cases.Results:Between 2005 and 2024, 3 520 247 cases of bacillary dysentery were reported across China, with an average incidence rate of 12.88 per 100 000 people, after which the rate of decline decreased. The incidence rate showed a general downward trend, featuring a significant inflection point in 2016. It exhibited marked seasonality, peaking from May to October (summer-autumn), which weakened over time. From 2005 to 2024, the most likely clusters were in Beijing and Tianjin. Males, infants, the elderly, farmers, and children not in daycare showed many cases.Conclusions:The results revealed that the peak incidence of bacillary dysentery in China from 2005 to 2024 was featured in the summer-autumn months. High-incidence areas were mainly Beijing and Tianjin. The key groups, including males, infants, the elderly, farmers and children not in daycare, were identified. Enhancing surveillance, targeted health education, and preventive measures, especially in these key populations and in regions where the disease shows a high incidence should be strengthened.

Objective:To analyze the epidemiological characteristics and infection sources of cholera in China from 2005 to 2024.Methods:A total of 2 066 cholera cases were included in the study, which were obtained from the China Disease Control and Prevention Information System (CDPCIS) of China CDC. The information on cholera clusters was downloaded from the National Public Health Emergency Event Surveillance System (PHEESS) of China CDC. A total of 128 cholera clusters were included and analyzed in this study. The epidemiological characteristics and infection sources of cholera were analyzed. The Jointpoint model was applied to analyze the incidence trend, and annual percentage change (APC) was also quantified.Results:From 2005 to 2024, a total of 2 066 cholera cases were reported, with an average of 103 cases reported annually. Specifically, the incidence showed a marked downward trend from 2004 to 2015 ( APC=-26.78%, P=0.006). During 2015-2024, the disease remained at low endemic levels, with an average of 18 reported cases annually ( APC=-2.68%, P=0.807). Cholera peak season was from May to October. A total of 24 provinces reported cholera cases, which were mainly distributed in Zhejiang, Fujian, Beijing, Jiangsu, Anhui, Guangdong, and Hainan provinces, accounting for 78.03% of the total cases. Pathogen surveillance indicated an alternating prevalence of Vibrio cholerae serogroups O1 and O139 among laboratory-confirmed cases between 2005 and 2024. There was a disparity in the dominant serogroup of Vibrio cholerae by region. The results from 128 cholera clusters indicated that cholera outbreaks frequently occurred in rural banquets (64.84%), followed by regular restaurants (13.28%). Among these, 63 clusters (49.22%) with identified infection sources indicated that foodborne transmission (95.24%) was the primary mode of cholera transmission, which mainly through seafood and aquatic products, such as soft-shelled turtles, shrimp and shellfish. The characteristics of cholera clusters caused by Vibrio cholerae serogroups O1 and O139 showed statistically significant differences in scale, attack rate, place of residence, setting, and infection source ( P<0.05). Conclusion:Cholera incidence has remained consistently low since 2015 in China, mainly in sporadic cases. Rural gatherings (e.g., wedding banquets) are the main settings for cholera clusters. The main infection sources are predominantly caused by cross-contamination due to improper processing practices of aquatic products, such as soft-shelled turtles.

Purpose To explore the diagnostic efficacy of texture analysis in grading multiple ligament injuries of the knee Joint.Materials and Methods MRI images of 203 patients with knee injuries in the Second Affiliated Hospital of Shantou University School of Medicine from June 2018 to September 2020 were retrospectively collected,and then graded the injuries of multiple ligaments.Extraction of texture features and discriminant analysis were accomplished by MaZda software.Spearman correlation analysis and LASSO penalized Logistic regression analysis were used to further explore the differential diagnostic efficacy of each texture parameter for grading knee ligament injuries.Results(1)MaZda software was found to have the highest diagnostic efficacy for patellar ligament injury grading by using different texture feature screening methods in combination with discriminant analysis.Non-linear discriminant analysis had the lowest misclassification rate of 4.43%.(2)The texture parameters that were ultimately included in the analysis of the subjects'work characteristic curves appeared more frequently in the gray level co-occurrence matrix and the run length matrix.(3)The area under the curve of the texture parameters finally included in the analysis were 0.870-0.975,0.772-0.912,0.836-0.929 and 0.766-0.920,respectively in patellar ligament,anterior cruciate ligament,posterior cruciate ligament and lateral collateral ligament for the diagnosis of knee ligament injury grading.The diagnostic efficacy for patellar ligament injury grading was the highest,which was consistent with the lowest misclassification rate for patellar ligament in the discriminant analysis of texture features.And the texture parameters ultimately included in patellar ligament were all highly correlated with its injury grading.Conclusion The texture analysis technique has high diagnostic efficacy for grading knee ligament injuries,and can provide a more accurate diagnostic imaging basis for the clinic.

OBJECTIVE To investigate the distribution of pathogenic bacteria,imaging manifestations on single photon emission computed tomography/computed tomography(SPECT/CT)and the role of Wnt/β-catenin path-way in upper urinary tract infections.METHODS From Jan.2021 to Jan.2024,53 patients with upper urinary tract infection and 53 urinary calculi patients without upper urinary tract infections who had urinary system stones were selected from the Second Hospital of Tianjin Medical University as the infected group and the non-infected group,respectively.The distribution of pathogens in the infected group,SPECT/CT imaging manifestations and SPECT/CT imaging manifestations after 7 days of anti-infective treatment were statistically analyzed and com-pared.The levels of Wnt-1 andβ-catenin in both groups and the infection group before and after 3 and 7 days of an-ti-infective treatment were compared.The diagnostic values of Wnt-1 andβ-catenin for urinary calculi complicated with upper urinary tract infection were analyzed.RESULTS A total of 53 strains were yielded from the middle-seg-ment urine of the infection group,predominantly gram-negative bacteria.SPECT/CT imaging showed small nodu-lar dense shadows were in the upper segment of left ureter,the upper segment of the ureter,renal pelvis and calyx dilated,and visible striated shadows were around the kidney after 7 days of anti-infective treatment,the cystic low-density shadow under the left renal capsule was basically absorbed,the perirenal strip shadow slightly re-duced,but the perinephric fascia remained thickened,and the surrounding fat space was blurred.Wnt-1 and β-catenin levels elevated in the infection group compared with the non-infection group(P<0.05).The area under the curveof combined detection of Wnt-1 andβ-catenin was 0.907.CONCLUSIONS Gram-negative bacteria are the main pathogens causing upper urinary tract infections in patients with urinary calculi.SPECT/CT imaging shows inflammatory changes,and the Wnt/β-catenin pathway is activated.The combination of Wnt-1 andβ-catenin has high diagnostic value.After anti-infective treatment,the inflammation showed on SPECT/CT imaging improves and the Wnt/β-catenin pathway is inhibited.