Natural flavonoids have attracted considerable attention owing to their favorable biosafety profiles and multiple pharmacological properties in recent years. Luteolin, a representative flavonoid compound, exhibits anti-inflammatory, antioxidant, anti-angiogenic, and neuroprotective effects in multiple ocular disease models by modulating key signaling pathways, including NF-κB, PI3K/Akt, Nrf2/HO-1, and AGE-RAGE. Accumulating experimental evidence supports the potential application of luteolin in various ocular diseases, including corneal and ocular surface diseases, inflammatory eye diseases, glaucoma, cataract, diabetic retinopathy, and age-related macular degeneration. However, clinical evidence remains limited. This review systematically summarizes research progress on luteolin in ocular diseases over the past five years, analyzes its molecular mechanisms and therapeutic potential, and discusses future directions,so as toprovide a theoretical basis for clinical translation.

As one of the most common malignant tumors， digestive system tumors exhibit an increase in the incidence and mortality year by year. Its pathogenesis is complex， making it difficult to carry out early prevention. Autophagy is a process in which cells use lysosomes to degrade their organelles and macromolecules to maintain cellular homeostasis under the regulation of autophagy-related genes. Cellular autophagy has a dual regulatory effect on the tumor microenvironment， which always affects the occurrence and development of digestive system tumors. Therefore， the effect and mechanism of action of cellular autophagy on digestive system tumors have become a hot topic in tumor therapy in recent years. Meanwhile， the remarkable research results of targeted autophagy drugs indicate that cellular autophagy may become an important target for anti-digestive system tumors. Traditional Chinese medicine （TCM） has been widely used in the comprehensive treatment of digestive system tumors with good efficacy. A variety of active ingredients in TCM， such as flavonoids， glycosides， terpenoids， quinones， and alkaloids， can increase the expression of autophagy-associated proteins microtubule-associated protein 1 light chain 3 （LC3）Ⅱ/Ⅰ， autophagy-related gene （ATG）5， ATG7， inhibit the expression of autophagy-related protein p62 ， and induce autophagy in digestive system tumor cells， thereby exerting the anti-digestive system tumor effect. By summarizing the research results in recent years on the modulation of cell autophagy by active ingredients in TCM to fight against digestive system tumors， this paper analyzed the relevant signaling pathways， regulatory factors， and functional characteristics of cell autophagy modulation， so as to elucidate the mechanism by which active ingredients of TCM induce autophagy and to provide ideas and references for clinical application.

As one of the most common malignant tumors， digestive system tumors exhibit an increase in the incidence and mortality year by year. Its pathogenesis is complex， making it difficult to carry out early prevention. Autophagy is a process in which cells use lysosomes to degrade their organelles and macromolecules to maintain cellular homeostasis under the regulation of autophagy-related genes. Cellular autophagy has a dual regulatory effect on the tumor microenvironment， which always affects the occurrence and development of digestive system tumors. Therefore， the effect and mechanism of action of cellular autophagy on digestive system tumors have become a hot topic in tumor therapy in recent years. Meanwhile， the remarkable research results of targeted autophagy drugs indicate that cellular autophagy may become an important target for anti-digestive system tumors. Traditional Chinese medicine （TCM） has been widely used in the comprehensive treatment of digestive system tumors with good efficacy. A variety of active ingredients in TCM， such as flavonoids， glycosides， terpenoids， quinones， and alkaloids， can increase the expression of autophagy-associated proteins microtubule-associated protein 1 light chain 3 （LC3）Ⅱ/Ⅰ， autophagy-related gene （ATG）5， ATG7， inhibit the expression of autophagy-related protein p62 ， and induce autophagy in digestive system tumor cells， thereby exerting the anti-digestive system tumor effect. By summarizing the research results in recent years on the modulation of cell autophagy by active ingredients in TCM to fight against digestive system tumors， this paper analyzed the relevant signaling pathways， regulatory factors， and functional characteristics of cell autophagy modulation， so as to elucidate the mechanism by which active ingredients of TCM induce autophagy and to provide ideas and references for clinical application.

ObjectiveTo investigate the impact of Buzhong Yiqitang combined with cisplatin on the proliferation of human lung adenocarcinoma （A549） cells through regulation of the pyruvate dehydrogenase kinase 1 （PDK1）/protein kinase B （Akt） signaling pathway and influence on glycolysis. MethodsTranscriptome sequencing （RNA-seq） was employed to compare the expression of glycolysis-related genes between A549 cells and cisplatin-resistant human lung adenocarcinoma cells （A549/DDP）. Small interfering RNA （siRNA） was employed to knock down PDK1， and the knockdown efficiency was verified by Western blot and Read-time PCR. The cell counting kit-8 （CCK-8） assay was used to assess the survival and viability of A549 cells under the following conditions： siRNA negative control+cisplatin （128， 64， 32， 16， 8， 4， 0 μmol·L^-1）， siPDK1+cisplatin （128， 64， 32， 16， 8， 4， 0 μmol·L^-1）， and siPDK1+cisplatin （128， 64， 32， 16， 8， 4， 0 μmol·L^-1）+Buzhong Yiqitang （10%）-containing serum. The 20% inhibitory concentration （IC₂₀） of the siRNA negative control+cisplatin group （7.832 μmol·L^-1） was calculated and used as the subsequent cisplatin concentration. Colony formation assay was performed to evaluate the proliferation of A549 cells. Lactate and adenosine triphosphate （ATP） assay kits were used to measure lactate and ATP production. The mitochondrial membrane potential was detected with the fluorescent probe JC-1. Western blotting was conducted to examine the expression levels of PDK1， phosphorylated （p）-Akt， Akt， pyruvate kinase M2 （PKM2）， glucose transporter 1 （GLUT1）， pyruvate dehydrogenase （PDH）， and lactate dehydrogenase A （LDHA）. Confocal immunofluorescence was employed to detect PDK1 and p-Akt. ResultsRNA-seq results identified PDK1 as a highly expressed differential gene in glycolysis metabolism between A549 cells and A549/DDP cells， and it was highly expressed in tumor cells. Gene Set Enrichment Analysis （GSEA） revealed upregulated and downregulated genes in glycolysis and gluconeogenesis pathways. Western blot and RT-qPCR confirmed that PDK1-si-2 had the highest transfection efficiency， with a PDK1 knockdown rate exceeding 60%. CCK-8 assay determined the half-maximal inhibitory concentration （IC₅₀） values for each group as （30.698±5.348）， （16.372±3.562）， （13.237±1.573） μmol·L^-1， while the IC₂₀ of cisplatin in siRNA negative control-transfected A549 cells was （7.832±0.672） μmol·L^-1. Compared with the siRNA negative control group， the siRNA negative control+cisplatin group showed decreased colony formation rate， reduced lactate production， lowered mitochondrial membrane potential， downregulated protein levels of p-Akt， GLUT1， PDK1， PDH， and LDHA， and reduced PDK1 fluorescence intensity （P<0.05）. The siPDK1 group exhibited decreased colony formation rate， reduced lactate production， increased ATP production， lowered mitochondrial membrane potential， downregulated protein levels of p-Akt， PKM2， GLUT1， PDK1， PDH， and LDHA， and reduced PDK1 and p-Akt fluorescence intensity （P<0.05）. Compared with the siPDK1 group， the siPDK1+Buzhong Yiqitang group showed decreased colony formation rate， reduced lactate production， downregulated protein levels of PKM2， GLUT1， and PDK1， and reduced PDK1 fluorescence intensity （P<0.05）. The siPDK1+cisplatin group exhibited decreased colony formation rate， reduced lactate production， increased ATP production， lowered mitochondrial membrane potential， downregulated protein levels of PKM2， GLUT1， PDK1， and PDH， and reduced PDK1 and p-Akt fluorescence intensity （P<0.05）. The siPDK1+cisplatin+Buzhong Yiqitang group demonstrated decreased colony formation rate， reduced lactate production， increased ATP production， lowered mitochondrial membrane potential， downregulated protein levels of p-Akt， PKM2， GLUT1， PDK1， PDH， and LDHA， and reduced PDK1 and p-Akt fluorescence intensity （P<0.05）. Compared with the siPDK1+Buzhong Yiqitang group， the siPDK1+cisplatin group showed decreased colony formation rate， downregulated protein levels of p-Akt and PDH， and reduced PDK1 and p-Akt fluorescence intensity （P<0.05）. The siPDK1+cisplatin+Buzhong Yiqitang group exhibited decreased colony formation rate， reduced lactate production， increased ATP production， lowered mitochondrial membrane potential， downregulated protein levels of p-Akt， GLUT1， PDH， and LDHA， and reduced PDK1 and p-Akt fluorescence intensity （P<0.05）. Compared with the siPDK1+cisplatin group， the siPDK1+cisplatin+Buzhong Yiqitang group showed decreased colony formation rate， increased ATP production， and downregulated protein levels of p-Akt， PKM2， and LDHA （P<0.05）. ConclusionBuzhong Yiqitang combined with cisplatin can suppress lung adenocarcinoma cell proliferation by modulating glycolysis through the PDK1/Akt signaling pathway.

Objective: To analyze the trajectories of cognitive function changes and their influencing factors among the elderly, so as to provide evidence for the prevention and intervention of cognitive impairment in this population. Methods: Data were obtained from the Chinese Longitudinal Healthy Longevity Survey (CLHLS), which was conducted in 2011, 2014, and 2018. Information on demographic characteristics and lifestyle behaviors of elderly individuals aged ≥65 years was collected. Cognitive function was assessed using the Mini-Mental State Examination (MMSE). Group-based trajectory modeling was conducted using MMSE scores from 2011, 2014, and 2018 to identify trajectories of cognitive function change. The optimal trajectory model was determined using the Bayesian information criterion, Akaike information criterion, and average posterior probability. Factors affecting cognitive function trajectories among the elderly were analyzed using a Multinomial logistic regression model. Results: Data were collected from 2 614 individuals, with the mean age of (78.20±8.93) years. There were 1 251 males (47.86%) and 1 363 females (52.14%). The group-based trajectory model identified three distinct cognitive function trajectories, defined as the stable group, slow decline group, and rapid decline group, consisting of 2 187 (83.66%), 170 (6.50%), and 257 (9.83%) individuals, respectively. Multinomial logistic regression analysis showed that compared with the stable group, each 1-year increase in age was associated with a 315.7% higher risk of being classified into the slowly declining group (OR=4.157, 95%CI: 2.922-5.914) and a 214.6% higher risk of being classified into the rapidly declining group (OR=3.146, 95%CI: 2.428-4.076). Compared with elderly individuals with no formal education, those with primary/junior high school education had a 67.5% lower risk of being classified into the slowly declining group (OR=0.325, 95%CI: 0.207-0.511) and a 30.2% lower risk of being classified into the rapidly declining group (OR=0.698, 95%CI: 0.505-0.964). Compared with unmarried/divorced/widowed elderly individuals, those who were married had a 31.0% lower risk of being classified into the rapid decline group (OR=0.690, 95%CI: 0.509-0.935). Conclusions Based on the CLHLS data, cognitive function trajectories among individuals aged ≥65 years were classified into three patterns: stable, slow decline, and rapid decline. Increased age was associated with a higher risk of cognitive decline, while higher educational level and being married demonstrated protective effects against cognitive deterioration.

Objective:To establish a rapid and accurate duplex real-time fluorescent reverse transcription-recombinase polymerase amplification/recombinase-aided amplification（RT-RPA/RAA）detection method for identification and differentiation of Nipah virus（NiV），Langya virus（LayV），Mojiang virus（MoJV），and Cedar virus（CedV）.Methods:First，specific primers and probes were designed targeting the conserved L gene regions of NiV and LayV，as well as the conserved N gene regions of MoJV and CedV，respectively. The four viruses were divided into two groups for duplex detection. Subsequently，the optimal primer and probe combinations were screened by comparing the amplification efficiency of different primer pair combinations（F1/R1，F1/R2，F2/R1，F2/R2）. The reaction temperature was optimized through temperature gradient settings from 37 ℃ to 42 ℃，and the amounts of primers and probes were optimized to establish the duplex real-time fluorescent RT-RPA/RAA detection system. Finally，the detection performance was evaluated through specificity，sensitivity，and stability tests，as well as clinical sample validation.Results:The selected primer pairs（NiV primer pair F2/R1，LayV primer pair F1/R1，MoJV primer pair F2/R2，and CedV primer pair F2/R2）all demonstrated optimal amplification efficiency when combined with their corresponding probes. The optimal annealing temperature was 39 ℃，and the minimum detection limit was 101-102 copies/μl. The method could effectively distinguish target viruses from other non-target viruses，and repeated experiments showed good stability（ R2> 0.90）. Additionally，detection results for Malaysian NiV strains and various clinical samples were consistent with the Taqman multiplex qRT-PCR method. Conclusion:The duplex real-time fluorescent RT-RPA/RAA detection method successfully established in this study can rapidly and accurately identify and differentiate four important henipavirus-like viruses：NiV，LayV，MoJV，and CedV. It features simple operation，rapid reaction，high specificity，and good stability，providing an effective molecular detection tool for rapid field diagnosis，surveillance，and control of these zoonotic viruses.

Objective:To evaluate the association between heatwaves and fall-related mortality.Methods:A total of 61 421 fall-related mortality from 2013 to 2022 in 7 provinces of China were included in a time-stratified case-crossover design, with daily meteorological data derived from the fifth generation European Reanalysis dataset produced by the European Centre for Medium-Range Weather Forecasts. Conditional logistic regression chimeric distributed lag nonlinear model was used to analyze the association between heatwaves and fall-related mortality and stratified analysis was conducted according to gender and age.Results:Heatwaves were associated with an increased risk of fall-related morality. The risk of fall-related mortality during heatwaves was higher than during non-heatwave periods ( OR=1.11, 95% CI: 1.05-1.18). The attributable fraction of fall-related motality due to heatwaves was 10.25% (95% CI: 4.49%-15.36%). For each 1 ℃ increase above the heatwave threshold, the risk of fall-related mortality increased by 34% ( OR=1.34, 95% CI: 1.02-1.76). The effect of heatwave duration on fall-related mortality was not statistically significant. Stratified analyses indicated that women experienced a higher risk of fall-related mortality during heatwaves ( OR=1.13, 95% CI: 1.04-1.22) compared to man ( OR=1.10, 95% CI: 1.04-1.17). Conclusions:Heatwave increases the risk of fall-related mortality, and the intensity of heatwaves modify this risk. Women are vulnerable populations.

Objective:To evaluate the impact of short-term exposure to daytime heatwaves, nighttime heatwaves, and compound heatwaves on the risk of road traffic mortality and calculate the attributable mortality burden.Methods:This study collected road traffic mortality data from the Disease Surveillance System in Guangdong, Hunan, Zhejiang, Yunnan, and Jilin Provinces from 2013 to 2018. A time-stratified case-crossover design was used in this study, with the death date for each case serving as the case day. Control days were selected from the same year, month, and day of the week as the case day. A conditional logistic regression model was employed to estimate the cumulative associations of short-term exposure to daytime heatwaves, nighttime heatwaves, and compound heatwaves on the risk of road traffic mortality (lag 0-1 day) and to calculate the attributable fractions (AF).Results:Compared to non-heatwave days, the excess risk ( ER) of road traffic mortality on daytime heatwave days, nighttime heatwave days, and compound heatwave days was 5.3% (95% CI: 0.5%-10.2%), 4.9% (95% CI: 0.5%-9.4%) and 7.5% (95% CI: 2.3%- 12.9%), with corresponding AF of 5.0% (95% CI: 0.5%-9.3%), 4.7% (95% CI: 0.5%-8.6%), and 6.9% (95% CI: 2.3%-11.4%), respectively. Stratified analysis showed that the risk of traffic mortalities caused by daytime heatwaves was higher in females ( ER=15.7%, 95% CI: 5.8%-26.5%) than in males ( ER=1.8%, 95% CI: -3.6%-7.4%). Elderly individuals over 64 years old ( ER=10.9%, 95% CI: 0.3%- 22.6%) had a higher risk of road traffic mortalities from compound heatwaves than those under 45 years old ( ER=2.6%, 95% CI: -5.4%-11.2%). The risk of road traffic injury mortality from motor vehicle accidents caused by compound heatwaves ( ER=16.6%, 95% CI:2.4%-32.7%) was higher than that from non-motor vehicle accidents ( ER=5.7%, 95% CI:0.1%-11.5%). Conclusions:Short-term exposure to daytime heatwaves, nighttime heatwaves, and compound heatwaves was associated with an increased risk of road traffic mortality, with the strongest association observed for compound heatwaves. The mortality burden attributable to compound heatwaves was higher than that for daytime and nighttime heatwaves. Heatwaves were more significantly associated with road traffic mortality risk among females, elderly individuals over 64 years old, and motor vehicle accidents.

Objective:To explore the risk fall death associated with compound hot extremes.Methods:This study collected data on fall deaths in Guangdong, Hunan, and Zhejiang Provinces from 2013 to 2018 and matched their exposure to meteorological data. Based on a time-stratified case-crossover design, a conditional logistic regression model embedded with a cross-basis function of the distributed lag nonlinear model was applied to estimate the risk of fall to death due to compound hot extremes.Results:Compared with regular days, compound hot extremes significantly increased the risk of death from falls ( OR=1.19, 95% CI: 1.09-1.30), and women ( OR=1.27, 95% CI: 1.11-1.45) and the elderly age 65 and above ( OR=1.24, 95% CI: 1.12-1.39) were more sensitive to compound hot extremes. The maximum duration of compound hot extremes was 7 days, and the maximum intensity was 6.2 ℃, and the duration and intensity were proportional to the risk of death from falls. The risk of death from falls increased by 12% ( OR=1.12, 95% CI: 1.06-1.18) each day, increasing in duration after linearization. The risk of death from falls increased by 16% ( OR=1.16, 95% CI: 1.10-1.22) for each 1 ℃ increase in linearized intensity. Conclusion:Compound hot extremes increase the risk of death cases from falls.

Objective:To assess the association between temperature and risk of animal injury, and identifying vulnerable populations.Methods:Based on a time-stratified case-crossover design, the number of animal injuries monitored in hospitals of Guangdong Provincial Injury Surveillance System in 2011 and 2015-2016 was included, and the daily meteorological data were derived from the fifth generation of European ReAnalysis-Land, which was produced by the European Centre for Medium-Range Weather Forecasts. Conditional logistic regression combined with a distributed lagged nonlinear model was applied to analyze the association of temperature and animal-specific injuries. We also conducted stratified analysis by region, sex, age, occupation, and location of injury occurrence.Results:There was an almost linear relationship between temperature and the occurrence of animal injury. The excess risk ( ER) of animal injury was 2.65% (95% CI: 2.27%-3.04%) for a 1 ℃ rise in temperature with much higher risk of occurrence ( ER=9.34%, 95% CI: 7.57%-11.13%) for non-mammalian injury than that for mammalian injuries ( ER=2.30%, 95% CI: 1.90%-2.70%). Stratified analysis revealed that the occurrence of animal injury was more susceptible to temperature influences in urban ( ER=2.78%, 95% CI: 2.35%-3.21%), female ( ER=2.71%, 95% CI: 2.16%-3.27%), the elderly aged 60 years and above ( ER=3.05%, 95% CI: 1.65%- 4.47%), farmer ( ER=4.66%, 95% CI: 3.03%-6.32%) and agricultural area ( ER=10.63%, 95% CI: 7.57%-13.79%) than their correspondents. In terms of mammalian injury, dog bites showed the highest risk ( ER=2.71%, 95% CI: 2.12%-3.30%). In terms of non-mammalian,snake injuries were highly influenced by temperature ( ER=16.74%, 95% CI: 11.33%-22.40%). Conclusions:The ambient temperature rises could increase the risk of animal injury with much higher risk for non-mammalian than that for mammalian injuries. Our findings suggest that global warming may increase the risk and disease burden from animal injuries.