Uveal melanoma(UM)is the most common primary intraocular malignancy in adults and arises predominantly from the choroid. Mitochondria, as essential organelles, not only fuel energy metabolism, but also orchestrate signal transduction and apoptosis. Recent studies have progressively uncovered the multifaceted roles of mitochondria in UM, including mitochondrial DNA copy-number alterations, reprogramming of mitochondria-related metabolic genes, and mitochondria-dependent autophagy. Moreover, mitochondria modulate UM progression partly through the PI3K/AKT axis. Natural compounds and small-molecule drugs that impair mitochondrial function have also shown promising activity in inducing UM cell dysfunction. These findings provide new insights into UM pathogenesis and highlight mitochondria as potential therapeutic targets.

ObjectiveTo preliminarily explore the active components and target pathways of Angelicae Sinensis Radix-Polygonati Rhizoma （ASR-PR） herb pair in the treatment of simple obesity through network pharmacology and molecular docking， and to verify and investigate its mechanism of action via animal experiments. MethodsThe chemical constituents and targets of ASR and PR were predicted using the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform （TCMSP）. Targets related to simple obesity were identified by retrieving the GeneCards， Online Mendelian Inheritance in Man （OMIM）， Pharmacogenomics Knowledgebase （PharmGKB）， and DisGeNET databases. The intersection of drug and disease targets was used to construct an active component-target network using Cytoscape software. This network was imported into the STRING database to construct a protein-protein interaction （PPI） network， and topological analysis was conducted to identify core genes. Gene Ontology （GO） analysis and Kyoto Encyclopedia of Genes and Genomes （KEGG） pathway enrichment analysis and mapping were performed using the DAVID database and the Microbioinformatics platform. AutoDock 1.5.7 software was used to perform molecular docking between the top five active components and core targets. An animal model of simple obesity was established by feeding C57BL/6J mice a high-fat diet. The mice were administered ASR （2.06 g·kg^-1）， PR （2.06 g·kg^-1）， or ASR-PR （4.11 g·kg^-1） for 10 weeks， while the model group received an equal volume of purified water by gavage. After the administration period， the mice were sacrificed to measure body fat weight and serum levels of total cholesterol （TC）， triglycerides （TG）， high-density lipoprotein （HDL）， and low-density lipoprotein （LDL）. Hematoxylin-eosin （HE） staining was used to observe histopathological sections of liver and adipose tissue. Serum levels of leptin， interleukin-6 （IL-6）， and tumor necrosis factor-α （TNF-α） were determined by enzyme-linked immunosorbent assay （ELISA）， and the mRNA expression levels of epidermal growth factor receptor （EGFR） and signal transducer and activator of transcription 3 （STAT3） in liver tissue were detected by real-time quantitative polymerase chain reaction （Real-time PCR）. ResultsNetwork pharmacology and molecular docking results indicated that the treatment of simple obesity by ASR-PR may involve the regulation of protein expression of core targets EGFR and STAT3 by its main components MOL009760 （Siberian glycoside A_qt）， MOL003889 （methyl protodioscin_qt）， MOL009766 （resveratrol）， MOL006331 （4′，5-dihydroxyflavone）， and MOL004941 （baicalin）， thereby modulating the PI3K/Akt and JAK/STAT signaling pathways. The animal experiment results showed that compared with the normal group， the model group had significantly increased body weight， body fat weight， and serum levels of TG， TC， TNF-α， IL-6， and leptin （P<0.01）. EGFR mRNA expression was significantly elevated （P<0.05）， while STAT3 mRNA expression was significantly decreased （P<0.01）. Histological analysis revealed disordered hepatic architecture in the model group， with pronounced lipid vacuoles， cytoplasmic loosening， lipid accumulation， and steatosis. Adipocytes in white adipose tissue （WAT） and brown adipose tissue （BAT） of the model group exhibited markedly increased diameters， reduced cell counts per unit area， and irregular morphology. Compared with the model group， the ASR-PR group significantly reduced body weight， body fat weight， serum TC， IL-6， TNF-α， leptin levels， and EGFR mRNA expression （P<0.01）. TG levels were also significantly decreased （P<0.05）， while STAT3 mRNA expression was significantly increased （P<0.01）. Histopathological improvements included reduced size and number of hepatic lipid vacuoles and restoration of liver cell morphology toward that of the normal group. The diameter of adipocytes significantly decreased， and the number of adipocytes per unit area increased. ConclusionASR-PR may regulate the expression of key target proteins such as EGFR and STAT3 via its core active components， modulate the PI3K/Akt and JAK/STAT signaling pathways， repair damaged liver and adipose tissues， and thereby alleviate the progression of obesity in mice.

ObjectiveTo preliminarily explore the active components and target pathways of Angelicae Sinensis Radix-Polygonati Rhizoma （ASR-PR） herb pair in the treatment of simple obesity through network pharmacology and molecular docking， and to verify and investigate its mechanism of action via animal experiments. MethodsThe chemical constituents and targets of ASR and PR were predicted using the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform （TCMSP）. Targets related to simple obesity were identified by retrieving the GeneCards， Online Mendelian Inheritance in Man （OMIM）， Pharmacogenomics Knowledgebase （PharmGKB）， and DisGeNET databases. The intersection of drug and disease targets was used to construct an active component-target network using Cytoscape software. This network was imported into the STRING database to construct a protein-protein interaction （PPI） network， and topological analysis was conducted to identify core genes. Gene Ontology （GO） analysis and Kyoto Encyclopedia of Genes and Genomes （KEGG） pathway enrichment analysis and mapping were performed using the DAVID database and the Microbioinformatics platform. AutoDock 1.5.7 software was used to perform molecular docking between the top five active components and core targets. An animal model of simple obesity was established by feeding C57BL/6J mice a high-fat diet. The mice were administered ASR （2.06 g·kg^-1）， PR （2.06 g·kg^-1）， or ASR-PR （4.11 g·kg^-1） for 10 weeks， while the model group received an equal volume of purified water by gavage. After the administration period， the mice were sacrificed to measure body fat weight and serum levels of total cholesterol （TC）， triglycerides （TG）， high-density lipoprotein （HDL）， and low-density lipoprotein （LDL）. Hematoxylin-eosin （HE） staining was used to observe histopathological sections of liver and adipose tissue. Serum levels of leptin， interleukin-6 （IL-6）， and tumor necrosis factor-α （TNF-α） were determined by enzyme-linked immunosorbent assay （ELISA）， and the mRNA expression levels of epidermal growth factor receptor （EGFR） and signal transducer and activator of transcription 3 （STAT3） in liver tissue were detected by real-time quantitative polymerase chain reaction （Real-time PCR）. ResultsNetwork pharmacology and molecular docking results indicated that the treatment of simple obesity by ASR-PR may involve the regulation of protein expression of core targets EGFR and STAT3 by its main components MOL009760 （Siberian glycoside A_qt）， MOL003889 （methyl protodioscin_qt）， MOL009766 （resveratrol）， MOL006331 （4′，5-dihydroxyflavone）， and MOL004941 （baicalin）， thereby modulating the PI3K/Akt and JAK/STAT signaling pathways. The animal experiment results showed that compared with the normal group， the model group had significantly increased body weight， body fat weight， and serum levels of TG， TC， TNF-α， IL-6， and leptin （P<0.01）. EGFR mRNA expression was significantly elevated （P<0.05）， while STAT3 mRNA expression was significantly decreased （P<0.01）. Histological analysis revealed disordered hepatic architecture in the model group， with pronounced lipid vacuoles， cytoplasmic loosening， lipid accumulation， and steatosis. Adipocytes in white adipose tissue （WAT） and brown adipose tissue （BAT） of the model group exhibited markedly increased diameters， reduced cell counts per unit area， and irregular morphology. Compared with the model group， the ASR-PR group significantly reduced body weight， body fat weight， serum TC， IL-6， TNF-α， leptin levels， and EGFR mRNA expression （P<0.01）. TG levels were also significantly decreased （P<0.05）， while STAT3 mRNA expression was significantly increased （P<0.01）. Histopathological improvements included reduced size and number of hepatic lipid vacuoles and restoration of liver cell morphology toward that of the normal group. The diameter of adipocytes significantly decreased， and the number of adipocytes per unit area increased. ConclusionASR-PR may regulate the expression of key target proteins such as EGFR and STAT3 via its core active components， modulate the PI3K/Akt and JAK/STAT signaling pathways， repair damaged liver and adipose tissues， and thereby alleviate the progression of obesity in mice.

Approximately 30%-40% of epilepsy patients do not respond well to adequate anti-seizure medications (ASMs), a condition known as pharmacoresistant epilepsy. The management of pharmacoresistant epilepsy remains an intractable issue in the clinic. Its early prediction is important for prevention and diagnosis. However, it still lacks effective predictors and approaches. Here, a classical model of pharmacoresistant temporal lobe epilepsy (TLE) was established to screen pharmacoresistant and pharmaco-responsive individuals by applying phenytoin to amygdaloid-kindled rats. Ictal electroencephalograms (EEGs) recorded before phenytoin treatment were analyzed. Based on ictal EEGs from pharmacoresistant and pharmaco-responsive rats, a convolutional neural network predictive model was constructed to predict pharmacoresistance, and achieved 78% prediction accuracy. We further found the ictal EEGs from pharmacoresistant rats have a lower gamma-band power, which was verified in seizure EEGs from pharmacoresistant TLE patients. Prospectively, therapies targeting the subiculum in those predicted as "pharmacoresistant" individual rats significantly reduced the subsequent occurrence of pharmacoresistance. These results demonstrate a new methodology to predict whether TLE individuals become resistant to ASMs in a classic pharmacoresistant TLE model. This may be of translational importance for the precise management of pharmacoresistant TLE.
Epilepsy, Temporal Lobe/diagnosis* ; Animals ; Drug Resistant Epilepsy/drug therapy* ; Electroencephalography/methods* ; Rats ; Anticonvulsants/pharmacology* ; Neural Networks, Computer ; Male ; Humans ; Phenytoin/pharmacology* ; Adult ; Disease Models, Animal ; Female ; Rats, Sprague-Dawley ; Young Adult ; Convolutional Neural Networks

OBJECTIVE: To investigate the effects of the combined Yiqi Huoxue Jiedu formula (YHJF) on intestinal microbiota in elderly patients with pulmonary-derived sepsis and identify potential microbial targets. METHODS: A prospective randomized double-blind controlled trial was conducted. Elderly patients with pulmonary infection-induced sepsis admitted to the emergency department of Guangdong Provincial Hospital of Traditional Chinese Medicine (TCM), intensive care unit (ICU) of Fangcun Hospital, and ICU of Daxuecheng Hospital, from November 2020 to October 2021 were enrolled and randomized into two groups. Both groups received conventional Western medicine treatment. The observation group additionally received YHJF (composed of 15 g of Panax ginseng, 9 g of Panax notoginseng, and 3 g of Rheum palmatum, dissolved in 50 mL warm water) orally or via nasogastric tube twice daily for 7 days; while the control group received a placebo. Clinical data and fresh fecal samples were collected before treatment and on days 5-7 of treatment. Intestinal microbiota diversity and structure were analyzed via 16S rDNA sequencing and bioinformatics [α diversity, β diversity, and linear discriminant analysis effect size (LEfSe)]. RESULTS: Fifty-five patients were included (29 in the control group, 26 in the observation group). There were no significantly differences in gender, age, comorbidities, and baseline sequential organ failure assessment (SOFA), acute physiology and chronic health evaluation II (APACHE II), acute gastrointestinal injury (AGI) classification score, and gastrointestinal failure (GIF) score between the two groups. Compared to the control group, the observation group showed significantly lower serum procalcitonin, APACHE II score, and greater reduction in GIF score by day 7. Thirty fecal samples were collected pre-treatment (baseline group), 29 post-treatment from the control group, and 26 from the observation group. Gut microbiota α diversity analysis revealed that Simpson index in the observation group and control group were significantly decreased compared to the baseline group [0.75 (0.53, 0.91), 0.81 (0.32, 0.91) vs. 0.88 (0.87, 0.89), both P < 0.05], but there was no significantly difference between the observation group and the control group. There were no significantly differences in Chao1, Ace, and Shannon indices among three groups. β diversity analysis indicated that distinct microbiota structures among three groups (R² = 0.096, P = 0.026). Species difference analysis showed that, at the phylum level, Firmicutes (53.69%), Actinobacteria (16.23%), Proteobacteria (15.39%), and Bacteroidetes (9.57%) dominated, with no significant intergroup differences. At the genus level, 38 taxa showed significant differences. Compared to the control group, the observation group exhibited increased Erysipelatoclostridium (P = 0.014) and Faecalibacterium (P = 0.013), and decreased Bacteroides (P = 0.009), Bilophila (P = 0.005), Eggerthella (P = 0.002), and Collinsella (P = 0.043). LEfSe analysis highlighted Lactobacillus salivarius, Erysipelatoclostridium, Collinsella, Cloacibacillus, and Bacteroides as key discriminators. CONCLUSION YHJF combined with conventional therapy alters intestinal microbiota structure in patients with elderly pulmonary-derived sepsis, with Bacteroides, Erysipelatoclostridium, and Collinsella identified as potential microbial targets.
Humans ; Gastrointestinal Microbiome/drug effects* ; Drugs, Chinese Herbal/therapeutic use* ; Double-Blind Method ; Sepsis/drug therapy* ; Aged ; Prospective Studies ; RNA, Ribosomal, 16S/genetics* ; Male ; Female ; Panax notoginseng ; Rheum

Objective:To investigate the mechanism of Polygonati Rhizoma-Angelicae Sinensis Radix in the treatment of prediabetes based on network pharmacology and animal experiments.Methods:The active components of Polygonati Rhizoma and Angelicae Sinensis Radix were retrieved from the TCMSP database. The potential targets of the active components were predicted using the Swiss Target Prediction database. The "drug-active component-target" network was constructed by Cytoscape 3.10 software. The disease targets were obtained from OMIM, Genecards, TTD and the U.S. National Library of Medicine. The common targets of drugs and diseases were screened by Venny 2.1.0 platform and imported into STRING database to construct the PPI network. The DAVID database was employed to perform Gene Ontology (GO) functional and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses on the common targets of drugs and diseases. The prediabetes model was established by feeding C57BL/6J mice with high-fat diet. 24 high-fat fed mice were divided into four groups using a random number table: the model group, Polygonati Rhizoma group, Angelicae Sinensis Radix group and Polygonati Rhizoma-Angelicae Sinensis Radix group (herb pair group), with 6 mice in each group. Another 6 normal mice were set as the normal group. Polygonati Rhizoma group was intragastrically administered with Polygonati Rhizoma granule solution at 2.055 g/kg, the Angelicae Sinensis Radix group was intragastrically administered with Angelicae Sinensis Radix granule solution at 2.055 g/kg, and the herb pair group was intragastrically administered with Polygonati Rhizoma-Angelicae Sinensis Radix herb pair at 4.11 g/kg, once daily. The model group and the normal group were intragastrically administered with an equal volume of deionized water for 10 weeks. Fasting blood glucose (FBG) and oral glucose tolerance tests (OGTT) were regularly performed. After 10 weeks of intragastric administration, the levels of serum total cholesterol (TC), triglycerides (TG), high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C) and fasting insulin (FINS) were measured; glycogen deposition in liver tissues was observed using periodic acid-Schiff (PAS); the mRNA expression levels of FGF1, FGF2, PGF, KDR, IGF1R, INSR, PI3Kca, PI3Kcb, PI3Kcg, Akt1, Akt2 and GSK-3β in liver tissues were detected by Real-time PCR; the protein expression levels of PI3K, phosphorylated (p)-Akt, Akt, p-GSK-3β and GSK-3β in liver tissues of mice were detected by Western blot.Results:205 core targets of Polygonati Rhizoma-Angelicae Sinensis Radix in the treatment of prediabetes were identified; KEGG enrichment analysis revealed that the herb pair may exert hypoglycemic effects by activating the PI3K-Akt signaling pathway. Compared with the model group, the FBG level and AUC values in the herb pair group decreased ( P<0.05), the levels of LDL-C and HDL-C decreased ( P<0.01), the FINS and HOMA-IR levels decreased ( P<0.05), the mRNA expression levels of FGF1, FGF2, PGF, KDR, IGF1R, INSR, PI3Kca, PI3Kcb, PI3Kcg, Akt1, Akt2 and GSK-3β in liver tissues were elevated significantly ( P<0.01), and the protein expression levels of PI3K/β-actin, p-Akt/Akt and p-GSK-3β/GSK-3β in liver tissues of the herb pair group significantly increased ( P<0.01). Conclusion:Polygonati Rhizoma-Angelicae Sinensis Radix may activate PI3K/Akt/GSK-3β signaling pathway by up-regulating FGF1, FGF2, PGF, etc., and affect insulin resistance, glycogen synthesis and other processes, so as to treat prediabetes.

Objective To investigate if Shikonin(SKI)can induce ferroptosis via the ROS/JNK pathway to inhibit the malignant behavior of pancreatic cancer.Methods Human pancreatic cancer PANC-1 or BxPC-3 cells were selected.Drug efficacy experiments were established with a blank control group(Con group)and low,medium,and high dose SKI groups(2,4,8 μmol/L).JNK-related mechanism experiments were categorized into a blank control group(Con group),SKI group,and SKI+JNK inhibitor group(SKI+SP600125 group).ROS-related mechanism experiments were divided into a blank control group(Con group),SKI group,and SKI+ROS scavenger group(SKI+NAC group).Cell viability was assessed using the CCK-8 method to calculate IC50;Transwell experiments evaluated cell migration and invasion capabilities;the C11 BODIPY 581/591 probe was utilized for flow cytometry to detect lipid peroxidation levels,while the FerroOrange fluorescent probe measured ferrous ion levels;ROS levels were determined using a ROS detection kit;the Western blot method identified ferroptosis-related key proteins(SLC7A11,GPX4),apoptosis-related proteins(Caspase3,PARP),and JNK pathway proteins(JNK,p-JNK);an in vivo xenograft tumor model was employed to assess tumor proliferation.Results SKI treatment significantly and dose-dependently inhibited PANC-1 cell viability(IC50:6.04 μmol/L,P<0.0001)and BxPC-3 cell viability(IC50:12.27 μmol/L,P<0.0001),and significantly reduced migrating and invasive cell numbers(P<0.0001),with migration cell numbers dropping to about 30%of the control group at 8 μmol/L SKI treatment(P<0.0001).Mechanistically,SKI induced increased intracellular lipid peroxidation,Fe2+accumulation,and significant ROS production(P<0.0001),significantly downregulated SLC7A11 and GPX4 protein expression(GPX4 protein expression reduced to 40%of that in the control group,P<0.0001),and activated JNK phosphorylation(p-JNK/JNK ratio increased to 2.8-fold,P<0.0001).Pretreatment with the JNK-specific inhibitor SP600125 or ROS scavenger NAC effectively reversed SKI's inhibition of cell viability and downregulation of SLC7A11/GPX4 protein(all P<0.01).SKI also inhibited pancreatic cancer tumor cell proliferation in vivo(P<0.0001).Conclusion SKI induces ferroptosis by activating the ROS/JNK pathway,thereby inhibiting pancreatic cancer proliferation,migration,and invasion.

ObjectiveTo evaluate the effects of Wuhua herbal tea on chronic unpredictable mild stress (CUMS)-induced depression and explore its mechanism of action in combating depression.MethodsWe tested the antidepressant effects of Wuhua herbal tea in a rat model of CUMS-induced depression using fluoxetine as a positive control. The rats were divided into four groups: control group, model group, fluoxetine group, and Wuhua herbal tea group. The rats underwent body weight measurements, sucrose preference test, and open-field test. Enzyme-linked immunosorbent assay kits were used to detect the serum levels of serotonin, dopamine, adrenocorticotropic hormone (ACTH), corticosterone, norepinephrine, and interleukin-6. Intergroup comparisons and detection of brain-derived neurotrophic factor (BDNF), cAMP-response element binding protein (CREB), Janus kinase 2 (JAK2), and signal transducer and activator of transcription 3 (STAT3) mRNA expression in the hippocampus were performed using RT-PCR. Immunohistochemistry was used to identify the expression of phosphorylated JAK2 (p-JAK2) and phosphorylated STAT3 (p-STAT3) proteins in hippocampal paraffin sections of CUMS rats.ResultsCompared with the control group, the model group rats had depressive tendencies, exhibiting low vitality and interest in various behavioral indicators which were signs of despair. The Wuhua herbal tea group statistically increased the levels of serotonin and dopamine in the serum of CUMS rats to varying degrees (P = .015 and P = .002); reduced serum levels of ACTH, corticosterone, norepinephrine, and interleukin-6 (all P .05); and decreased mRNA expression of BDNF, CREB, JAK2, and STAT3 in the hippocampus (all P .05); and decreased p-STAT3 protein levels (P = .006).ConclusionWuhua herbal tea shows antidepressant potential in CUMS rats by modulating the HPA axis and inhibiting JAK2-STAT3 overactivation, alleviating neuroinflammation. It also restores BDNF-CREB pathway function, reducing depressive symptoms.

Objective To analyze the clinical manifestations and epidemiological characteristics of influenza in Hubei. Methods Pharyngeal swab specimens from 16,500 patients with suspected influenza infection admitted to our hospital from January 2020 to December 2022 were selected. Viral detection and serotyping were performed by fluorescence quantitative polymerase chain reaction. Furthermore, the epidemiological and clinical data of patients were collected to analyze the clinical features and epidemiological characteristics of influenza viruses. Results A total of 16 500 clinical specimens were tested in this study, with a positive detection rate of 16.27% (2 684/16 500). The positive detection rate was 5.10% (862/16 500) for influenza A virus, 10.13% (1 672/16 500) for influenza B virus and 0.91% (150/16 500) for mixed influenza. The positive detection rate of influenza viruses was on the rise from 2020 to 2022 , reaching 18.43% in 2022. Seasonal distribution analysis denoted that the highest positive detection rates were observed in spring (18.23%) and winter (19.72%), with statistical difference (P<0.05). In terms of age distribution, patients<12 years (19.14%) had the highest positive detection rate, followed by those >60 years (17.71%), with statistical difference (P<0.05). From 2020 to 2022, the positive detection rate of influenza virus was 16.89% in males, which was higher than 15.63% in females (P<0.05). The main clinical symptoms were fever (86.89%) and cough (80.27%) for influenza A virus infections, cough (92.52%) and fever (86.06%) for influenza B virus infections, and cough (94.00%), fever (88.00%) and runny nose (86.00%) for mixed infections. Conclusion The influenza B viruses are the leading cause of influenza in Hubei from 2020 to 2022, and the infection demonstrates an increasing annual trend, with a high prevalence in winter and spring. Furthermore, children and the elderly are high-risk populations, and clinical manifestions are mainly cough and fever.