ObjectiveTo establish a tumor prognostic risk assessment model related to target genes of the miR-34 family. MethodsTarget genes of the miR-34 family were screened， and the scores of miR-34 target genes were assessed in 16 tumor types. Univariate Cox regression analysis was used to identify the tumor type with the strongest correlation between miR-34 target gene scores and overall survival （OS）. Gene Ontology （GO） and Kyoto Encyclopedia of Genes and Genomes （KEGG） analyses were performed to elucidate the functional roles and signaling pathways of miR-34 target genes. A prognostic risk model based on the miR-34 target genes was constructed using univariate Cox and LASSO regression analyses. Quantitative real-time PCR （qPCR） and dual-luciferase reporter assays were conducted to validate whether the target genes bind to miR-34 and measure their RNA expression levels in the relevant tumors. Additionally， the risk score was integrated with other clinical indicators to develop a nomogram prediction model for patient survival. ResultsA total of 65 target genes of the miR-34 family were screened. The cancer type exhibiting stronger correlation between the target gene scores and OS was lung adenocarcinoma （P = 0.003， HR= 5.150）. Furthermore， miR-34 target genes were predominantly enriched in oxidative stress pathways and various tumor-related processes. Three genes， LDHA， GALNT7， and SATB2， were identified as core components of the prognostic analysis model for lung adenocarcinoma. Additionally， the constructed nomogram model demonstrated robust predictive performance. ConclusionThe risk model and prognosis model of lung adenocarcinoma constructed based on the key target genes of miR-34 have good predictive performance.

Alzheimer's disease （AD） is a common type of dementia， primarily characterized by cognitive and behavioral impairments as well as deficits in learning and memory. The progression of AD has imposed a significant economic burden on society and families. However， its exact pathogenesis has not yet been fully elucidated. Currently， available therapeutic drugs are limited and are often accompanied by serious adverse effects. Traditional Chinese medicines （TCMs） and their extracts are mostly natural products and possess advantages such as multi-pathway regulation and relatively few adverse reactions. Experimental studies have shown that TCMs exhibit great potential in the prevention and treatment of AD. For example， Huanglian Jieduang， Danggui Shaoyaosan， Kaixin San， Liuwei Dihuangwan， Buyang Huanwutang， as well as Ginseng Radix et Rhizoma， Astragali Radix， Uncariae Ramulus cum Uncis， Coptidis Rhizoma， Gardeniae Fructus， Ginkgo Folium， Salviae Miltiorrhizae Radix et Rhizoma， and Curcumae Longae Rhizoma， can reduce β-amyloid deposition， inhibit excessive Tau protein phosphorylation， restore mitochondrial function， alleviate oxidative stress， suppress neuroinflammation and apoptosis， repair synaptic function， and improve gut microbiota. This article mainly summarizes the effects of several TCMs and compound prescriptions on AD， aiming to provide a reference for subsequent TCM-based treatment of AD.

OBJECTIVES: To investigate the regulatory role of nucleotide-bound oligomerized domain-like receptor containing pyrin-domain protein 6 (NLRP6) in liver lipid metabolism and non-alcoholic fatty liver disease (NAFLD). METHODS: Mouse models with high-fat diet (HFD) feeding for 16 weeks (n=6) or with methionine choline-deficient diet (MCD) feeding for 8 weeks (n=6) were examined for the development of NAFLD using HE and oil red O staining, and hepatic expressions of NLRP6 were detected with RT-qPCR, Western blotting, and immunohistochemical staining. Cultured human hepatocytes (LO2 cells) with adenovirus-mediated NLRP6 overexpression or knock-down were treated with palmitic acid (PA) in the presence or absence of compound C (an AMPK inhibitor), and the changes in cellular lipid metabolism were examined by measuring triglyceride, ATP and β-hydroxybutyrate levels and using oil red staining, RT-qPCR, and Western blotting. RESULTS: HFD and MCD feeding both resulted in the development of NAFLD in mice, which showed significantly decreased NLRP6 expression in the liver. In PA-treated LO2 cells, NLRP6 overexpression significantly decreased cellular TG content and lipid deposition, while NLRP6 knockdown caused the opposite effects. NLRP6 overexpression in PA-treated LO2 cells also increased mRNA and protein expressions of PGC1A and CPT1A, levels of ATP and β-hydroxybutyrate, and the phosphorylation level of AMPK pathway; the oxidative decomposition of lipids induced by Ad-NLRP6 was inhibited by the use of AMPK inhibitors. CONCLUSIONS NLRP6 overexpression promotes lipid oxidation and decomposition through AMPK/CPT1A/PGC1A to alleviate lipid deposition in hepatocytes.
Non-alcoholic Fatty Liver Disease/metabolism* ; Animals ; Hepatocytes/metabolism* ; Lipid Metabolism ; Mice ; Humans ; Peroxisome Proliferator-Activated Receptor Gamma Coactivator 1-alpha ; AMP-Activated Protein Kinases/metabolism* ; Carnitine O-Palmitoyltransferase/metabolism* ; Diet, High-Fat ; Male ; Mice, Inbred C57BL ; Signal Transduction

Objective To explore the effects of lipoxygenase(LOX)on severe fever with thrombocytopenia syndrome virus(SFTSV)in human umbilical vein endothelial cells(HUVECs).Methods The CCK-8 assay was used to assess the cytotoxicity of LOX in HUVECs.Real-time quantitative PCR(qPCR)was adopted to detect the replication of viral RNA in cells.The infection rate of SFTSV to HUVECs was observed via indirect immunofluorescence assay(IFA).The expressions of intracellular viral NP protein and autophagy related proteins microtubule-associated protein 1 light chain 3(LC3)and adenosine 5'-monophosphate-activated protein kinase(AMPK)/mammalian target of rapamycin(mTOR)were detected via Western blotting.Lipid metabolomics was used to analyze the differences in expressions of intracellular metabolites in the SFTSV-infected Huh 7 with or without LOX treatment.Results The results of CCK-8 showed no obvious cytotoxicity to HUVECs with LOX≤8 mg/mL.With the increase of LOX concentrations,the viral RNA level,viral infection rate,and expressions of SFTSV nucleoprotein(NP)protein were gradually decreased,respectively.The autophagy reaction was activated in SFTSV-infected HUVECs,evidenced by the increased expression level of LC3 Ⅱ protein.Compared with the untreated group,LOX treatment resulted in decreased levels of LC3 Ⅱ and AMPK phosphorylation,and enhanced phosphorylation of mTOR in SFTSV-infected HUVEC.Conclusion LOX negatively regulates autophagy by inhibiting AMPK/mTOR signaling pathway,thereby inhibiting SFTSV replication.

OBJECTIVE To analyze the value of elastic modulus of shear wave elastography in the diagnosis of cervical lymph node metastasis of thyroid cancer and its correlation with VEGF-C and VEGF-D.METHODS A total of 120 patients with thyroid cancer admitted to our hospital were divided into metastatic group(n=37)and non-metastatic group(n=83)according to whether the cervical lymph node metastasis.The clinical data and SWE elastic modulus values of the two groups were compared,and the effects of clinical characteristics on SWE elastic modulus values were analyzed by hierarchical regression.Logistic regression analysis was conducted to analyze the independent correlation between SWE elastic modulus and the risk of lymph node metastasis of thyroid cancer.The dose-response relationship between the elastic modulus of SWE and the risk of lymph node metastasis in thyroid cancer was analyzed with restricted cubic strips.The correlation between SWE elastic modulus and VEGF-C and D levels was analyzed after adjusting factors by Logistic regression.RESULTS The results of general data analysis showed that male proportion,BMI,clinical stage,lesion diameter,TSH,FT4,TgAb positive rate,TPOAb positive rate,VEGF-C and VEGF-D in metastatic group were higher than those in non-metastatic group.Under different clinical characteristics,SWE parameters Emax,Emean and Eratio in metastatic group were higher than those in non-metastatic group.In hierarchical regression analysis,gender,clinical stage,lesion diameter,biochemical indices(TSH,FT4,TgAb,TPOAb)had significant positive effects on SWE parameters.SWE parameters were independently associated with the risk of lymph node metastasis of thyroid cancer.Subgroup analysis showed that the association between SWE parameters and the risk of lymph node metastasis of thyroid cancer in all subgroups was statistically significant(P<0.05).There was no nonlinear dose-response relationship between SWE parameters and thyroid cancer risk(P>0.05).After adjusting for confounding factors,there was a significant linear correlation between Emax,Emean,Eratio and VEGF-C and VEGF-D(P<0.05).CONCLUSION The elastic modulus of SWE has a certain diagnostic value for lymph node metastasis of thyroid cancer,and SWE parameters have a certain correlation with VEGF-C and VEGF-D.

Abstract Modern western medicine typically focuses on treating specific symptoms or diseases, and traditional Chinese medicine (TCM) emphasizes the interconnections of the body’s various systems under external environment and takes a holistic approach to preventing and treating diseases. Phenomics was initially introduced to the field of TCM in 2008 as a new discipline that studies the laws of integrated and dynamic changes of human clinical phenomes under the scope of the theories and practices of TCM based on phenomics. While TCM Phenomics 1.0 has initially established a clinical phenomic system centered on Zhenghou (a TCM definition of clinical phenome), bottlenecks remain in data standardization, mechanistic interpretation, and precision intervention. Here, we systematically elaborates on the theoretical foundations, technical pathways, and future challenges of integrating digital medicine with TCM phenomics under the framework of “TCM phenomics 2.0”, which is supported by digital medicine technologies such as artificial intelligence, wearable devices, medical digital twins, and multi-omics integration. This framework aims to construct a closed-loop system of “Zhenghou–Phenome–Mechanism–Intervention” and to enable the digitization, standardization, and precision of disease diagnosis and treatment. The integration of digital medicine and TCM phenomics not only promotes the modernization and scientific transformation of TCM theory and practice but also offers new paradigms for precision medicine. In practice, digital tools facilitate multi-source clinical data acquisition and standardization, while AI and big data algorithms help reveal the correlations between clinical Zhenghou phenomes and molecular mechanisms, thereby improving scientific rigor in diagnosis, efficacy evaluation, and personalized intervention. Nevertheless, challenges persist, including data quality and standardization issues, shortage of interdisciplinary talents, and insufficiency of ethical and legal regulations. Future development requires establishing national data-sharing platforms, strengthening international collaboration, fostering interdisciplinary professionals, and improving ethical and legal frameworks. Ultimately, this approach seeks to build a new disease identification and classification system centered on phenomes and to achieve the inheritance, innovation, and modernization of TCM diagnostic and therapeutic patterns.

Objective To explore the differentially expressed mRNAs and related biological processes and pathways in fractional low-dose ionizing radiation (LDIR)-induced senescence of normal human bronchial epithelial (HBE) cells by high-throughput mRNA sequencing and bioinformatics techniques. Methods Senescence-associated β-galactosidase staining and senescence-associated secretion phenotype gene mRNA and protein expression levels were measured at 24 and 48 h after irradiating HBE cells 7 times at doses of 0, 50, 100, and 200 mGy, respectively. The differentially expressed genes were screened by high-throughput sequencing for Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses. Results The senescence-positive area of fractional low-dose irradiated HBE cells increased in a dose-dependent manner (P < 0.05). The mRNA levels and protein expression of transforming growth factor-β1(TGF-β1) and matrix metalloproteinase-9(MMP-9) genes were increased in the 100 mGy × 7 and 200 mGy × 7 groups at 24 and 48 h after the end of irradiation compared with the control group. High-throughput sequencing showed that there were 882, 475, and 1205 differentially expressed mRNAs in each dose group compared with the control group. GO analysis showed that the differentially expressed mRNAs in each dose group were mainly enriched in biological processes such as cell cycle regulation, regulation of nitrogen compound metabolic process, regulation of cell division and response to stimulus. KEGG analysis showed that the differentially expressed mRNAs were mainly enriched in the pathways of cell cycle, cell senescence, and ferroptosis. Conclusion Fractional LDIR induced senescence in HBE cells, and differentially expressed mRNA-associated biological processes and pathways in senescent cells are related to cell cycle and cell senescence.

ObjectiveTo explore the interaction between bruceoside B and gut microbiota and the inhibitory activity of its metabolites on human lung cancer A549 cells， and to explore the value of bruceoside B in the treatment of non-small cell lung cancer（NSCLC）. MethodBruceoside B was co-incubated with the human gut microbiota under anoxic conditions in vitro， and ultra high performance liquid chromatography-quadrupole-time-of-flight mass spectrometry（UPLC-Q-TOF-MS） was used to analyze the metabolic transformation products. Cell counting kit-8（CCK-8） assay was performed to determine the effects of bruceoside B and its metabolites on the proliferation of human lung cancer A549 cells and the half inhibitory concentration（IC₅₀） was calculated. Five healthy male rats were gavaged with bruceoside B（2 mg·kg^-1） for 7 days after adaptive feeding. The feces of rats were collected before and after administration. 16S rRNA sequencing was used to assess gut microbiota. ResultBruceoside B was mainly metabolized to brusatol by human gut microbiota， the IC₅₀ of bruceoside B and the conversion product to A549 cells were 1 755.50， 19.57 μmol·L^-1， respectively， and the conversion product had a better activity at inhibiting A549 cells proliferation than bruceoside B. Additionally， The results of intestinal flora analysis showed no significant differences in α diversity and β diversity of gut microbiota after administration. In terms of species abundance， at the phylum level， bruceoside B decreased the relative abundance of Actinobacteriota and Proteobacteria， increased the relative abundance of Firmicutes， Patescibacteria and Cyanobacteria. At the genus level， bruceoside B decreased the relative abundance of Staphylococcus， Aerococcus and Psychrobacter， increased the relative abundance of Romboutsia， Lactobacillus， Clostridium sensu stricto 1， Norank-f-norank-o-Clostridia-UCG-014， Turicibacter， Allobaculum and Candidatus Saccharimonas. The results of functional prediction showed that the gut microbiota functional compositions were relatively stable. ConclusionBruceoside B can be deglycosylated by intestinal flora and converted into brusatol， with a significant increase in antitumor activity. The administration of bruceoside B will not cause significant changes in the structure and function of the intestinal flora， resulting in intestinal microecological balance disorders， and the administration appears to be beneficial to the intestinal flora of NSCLC patients.

Objective To explore the changes and significane of USP20 and HIF-α expression in breast cancer.Methods Following transfection of shRNA-USP20 lentivirus into breast cancer MDA-MB-231 cells,the gene and protein expression levels of USP20 were detected using fluorescence quantitative PCR and Western Blot.Subsequently,the overexpression of USP20 was observed to determine its effect on HIF-α expression.Similarly,siRNA-USP20 was used to knock down USP20 in breast cancer MDA-MB-231 cells,followed by detection of gene and protein expression levels using fluorescence quantitative PCR and Western Blot.The subsequent changes in HIF-α expression were then examined.Rusults The positive expression rates of USP20 and HIF-α in breast cancer tissues were 69.6%and 46.83%,respectively,while they were negatively expressed in the adjacent normal tissues,with statistically significant differences(P＜0.01).The positive expressions of USP20 and HIF-α were predomi-nantly observed in the cytoplasm of breast cancer tissue,with a smaller amount present in the nucleus.There was a significant positive correlation between USP20 and HIF-α in breast cancer.Following transfection of shRNA-USP20 lentivirus into MDA-MB-231 cells,both the protein and gene expression levels of USP20 significantly increased(P＜0.01).Over-expression of USP20 did not affect HIF-α mRNA levels but led to a significant increase in HIF-α protein expression(P＜0.01).Conversely,siRNA-USP20 interference resulted in a significant decrease in both the protein and gene expression levels of USP20(P＜0.01),without affecting HIF-α mRNA levels;however,it caused a notable reduction in HIF-α protein expression(P＜0.01).Conclusion The expression of USP20 exhib-ited a significant positive correlation with HIF-α in breast cancer.Overexpression of USP20 led to a substantial increase in HIF-α protein expression,while knock-down of the USP20 gene resulted in a significant decrease in HIF-α protein levels.Therefore,it can be inferred that USP20 may exert its influence on the development of breast cancer through modulation of HIF-α expression,thereby providing crucial experimental evidence for clinical treat-ment,prognosis,and further investigations.