Intervertebral disc degeneration （IVDD） is the core cause of chronic low back pain， which severely impairs patients’ quality of life and imposes a heavy social and medical burden. The hypoxia-pyroptosis-inflammation cascade mediated by hypoxia-inducible factor-1α （HIF-1α） is the core pathological mechanism driving the initiation and progression of IVDD. Natural active ingredients derived from traditional Chinese medicine （TCM） have become a research hotspot in the field of IVDD prevention and treatment due to their advantages of multi-target effects， favorable efficacy， and low toxicity. This paper systematically reviews the mechanism of HIF-1α-mediated hypoxia-pyroptosis-inflammation cascade in degenerative nucleus pulposus tissue and the intervention of related active ingredients. It is found that natural active ingredients such as baicalein， curcumin and resveratrol can intervene in the HIF-1α-mediated pathological cascade through four core links to delay IVDD progression： targeting the HIF-1α oxygen sensing pathway to block the initiation of pyroptosis cascade， inhibiting NOD-like receptor protein 3 inflammasome activation to cut off the cascade amplification of inflammatory signals， intervening in the Gasdermin D-mediated pyroptosis execution stage to protect cell membrane integrity， and regulating extracellular matrix metabolism to reconstruct intervertebral disc homeostasis.

ObjectiveTo investigate the effects of targeted silencing of Runt-related Transcription Factor 3 （RUNX3） on the proliferation and migration of Mouse Hepatic Stellate Cells （HSCs）， as well as subsequent collagen deposition. MethodsMouse hepatic stellate cell line （JS-1） was selected and then morphologically observed and identified under a microscope. After the cells had fully adhered， they were treated with 5 ng/mL of transforming growth factor beta 1 （TGF-β₁） for 24 hours to induce hepatic stellate cell activation. Furthermore， a RUNX3 silencing model was established using RUNX3 lentiviral infection. The experiment was divided into four groups： Control group， TGF-β₁ group， TGF-β₁+siRNA-NC group， and TGF-β₁+siRNA-RUNX3 group. Protein expression changes of RUNX3， alpha-smooth muscle actin （α-SMA）， and Alpha 1 type I collagen （Collagen I） were detected using Western blot method. Cellular immunofluorescence assays were employed to investigate the deposition changes of α-SMA and RUNX3 in hepatic stellate cells. RT-qPCR was utilized to examine the mRNA expression changes of RUNX3， α-SMA， and Collagen I. The proliferative capacity of hepatic stellate cells was assessed using Edu staining. The migratory ability of hepatic stellate cells was evaluated through wound healing assays and Transwell migration experiments. ResultsCompared with Control group， a significant elevation in RUNX3 was observed in the TGF-β₁-induced activated HSCs （P<0.01）. Meanwhile， the protein and mRNA levels of fibrosis-related markers and α-SMA and Collagen I were significantly upregulated （P<0.001）. Additionally， the proliferation and migration capabilities of HSCs were significantly enhanced （P<0.001）. In contrast， when compared to TGF-β₁+siRNA-NC group， TGF-β₁+siRNA-RUNX3 group exhibited a notable decrease in RUNX3 and other related indicators， such as the protein and mRNA levels of α-SMA and Collagen I （P<0.05）. Concurrently， the proliferation and migration capabilities of HSCs were significantly inhibited in TGF-β₁+siRNA-RUNX3 group （P<0.01）. ConclusionSilencing RUNX3 can inhibit the deposition of collagen and the proliferation and migration of hepatic stellate cells. Conversely， RUNX3 promotes the proliferation and migration capabilities of HSCs， thereby facilitating the activation of HSC.

ObjectiveTo investigate the role of runt-related transcription factor 3 （RUNX3） in transforming growth factor-β₁ （TGF-β₁）-induced activation of mouse primary pulmonary fibroblasts （PFs）， and its effects on fibroblast activation protein （FAP） expression， cell proliferation， and collagen synthesis. MethodsPFs were isolated from C57BL/6 mice and cultured. A RUNX3 knockdown model was established using small interfering RNA （siRNA）. Cells were assigned to the control group （Control）， TGF-β₁-treated group （TGF-β₁）， negative control group （TGF-β₁+siRNA-NC）， and RUNX3-silenced group （TGF-β₁+si-RUNX3）. In addition， a RUNX3 overexpression rescue experiment was performed based on TGF-β₁ stimulation. Protein and mRNA levels of RUNX3， FAP， and typeⅠcollagen （COL1A1） were measured by Western blot and reverse transcription quantitative real-time PCR （RT-qPCR）. Cell proliferation was assessed using CCK-8 and EdU assays. Co-expression of COL1A1 and FAP was examined by double immunofluorescence staining. ResultsCompared with the Control group， RUNX3， FAP， and COL1A1 expression levels were upregulated in PFs in the TGF-β₁ group （P<0.01）. The CCK-8 assay showed that the absorbance value was reduced in the RUNX3 knockdown group compared with the negative control group （P<0.01）. Consistently， the EdU assay demonstrated a lower proportion of EdU-positive cells in the RUNX3 knockdown group than in the negative control group （P<0.01）. Immunofluorescence double staining revealed decreased fluorescence intensities of COL1A1 and FAP in the RUNX3 knockdown group relative to the negative control. Under RUNX3 overexpression conditions， these fluorescence signals exhibited a partial rebound （P<0.01）. ConclusionRUNX3 in TGF-β1-induced PFs may promote cell proliferation and collagen synthesis by positively regulating FAP expression. Targeting the RUNX3/FAP axis may represent a potential therapeutic strategy for pulmonary fibrosis.

Objective To investigate the association of serum total testosterone(TT),free testosterone(FT),sex hormone-binding globulin(SHBG),and estradiol(E_2)with all-cause mortality rate(AMR)in males and to evaluate their predictive value. Methods Based on data from the National Health and Nutrition Examination Survey(NHANES)cycles(1999—2004 and 2013—2016),the relationships between different sex hormones and AMR was analyzed with Cox proportional hazards regression models. The dose-response relationships between different sex hormones and male AMR were assessed with restricted cubic splines(RCS). The predictive performances of different sex hormones for male AMR were compared with receiver operating characteristic(ROC)curves and the area under the curve(AUC). The survival differences across varying sex hormone levels were evaluated with Kaplan-Meier survival curves and log-rank tests. Results This study involved 3632 adult male participants with a median follow-up of 6.5 years,during which 320 AMR occurred(8.8%). Cox univariate analysis indicated that TT,FT and SHBG were risk factors for AMR(P＜0.001). Cox multivariate analysis revealed that FT and SHBG were independent risk factors for AMR(FT:HR=0.90,95%CI:0.86-0.94; SHBG:HR=1.01,95%CI:1.01-1.02). RCS revealed a U-shaped nonlinear relationship between TT,FT and AMR(P＜0.001); SHBG showed a positive dose-response relationship with AMR(P＜0.001). The AUCs of FT predicting the 5-year,10-year,and 15-year AMR were 0.78(95%CI:0.73-0.82),0.80(95%CI:0.76-0.84),and 0.84(95%CI: 0.80-0.88),respectively,significantly outperforming other indicators. Subgroup analysis revealed that FT was negatively correlated with male AMR,but this association was modulated by age,race,smoking status and diabetes status(P_(interaction)＜0.05). Kaplan-Meier survival analysis showed that different levels of TT and FT(Q1-Q4)were significantly positively correlated with survival rate(P＜0.001),while different levels of SHBG were significantly negatively correlated with survival rate,with patients in the Q4 group having the highest risk of death(P＜0.001). Conclusion Based on US NHANES,studies have shown that the FT and SHBG are independent risk factors for male AMR,and FT demonstrates greater predictive value for male AMR than TT.

Extracellular vesicles(EVs)are nanoscale membrane vesicles released by cells that carry bioactive molecules such as proteins and nucleic acids. They play a key role in intercellular communication. In recent years, they have shown significant potential in the diagnosis and treatment of corneal and ocular surface diseases. As diagnostic biomarkers, EVs derived from tears or other sources can reflect disease-specific characteristics, providing a basis for the early disease detection. In terms of therapy, mesenchymal stem cells(MSCs)-derived EVs deliver miRNAs to modulate inflammatory pathways, promote corneal epithelial repair, and inhibit fibrosis. Furthermore, as natural drug vehicles, EVs enable precise delivery of therapeutic agents and promote corneal wound healing. This review systematically summarizes the recent research advances in the application of EVs in the field.

"Pattern identification by formula" originates from the formula-pattern correspondence theory in traditional Chinese medicine （TCM）， with its core being the reverse inference of the pattern attributes of models through pharmacodynamic responses after formula intervention. With the advancement of TCM modernization， stable and reliable pattern models have become an important bridge connecting basic research and clinical practice， and "pattern identification by formula" has provided a feasible approach to enhance the authenticity and clinical translational value of these models. In recent years， notable progress has been achieved in its application to single-pattern models （such as phlegm-stasis pattern， Yang deficiency pattern， and spleen-Qi deficiency pattern） as well as disease-pattern combination models involving the respiratory， digestive， circulatory， and nervous systems. It has not only verified the pattern attributes of the models but also revealed the pattern differentiation regularity of "different diseases with the same pattern" and "the same pattern treated with different formulas". On this basis， this study further conducts a commonality analysis of pattern models， summarizes them into two major categories （deficiency patterns and excess patterns）， and embodies the pathological connotation of "deficiency results from essence-Qi consumption， and excess arises from pathogen abundance". This not only reveals the internal connections between different models but also provides a basis for the summary of formula-pattern rules and research on pattern standardization. However， current studies still suffer multiple problems such as non-standardized naming of patterns， lack of rationality in modeling methods， simplified design of control experiments， and insufficient description of macroscopic patterns in evaluation indicators， which affect the scientific rigor and reproducibility of the research. Future research needs to promote the unification of nomenclature and evaluation criteria of patterns， optimize modeling methods， strengthen the design of control experiments， and establish a multi-dimensional model evaluation system integrating macro- and micro-level indicators. This aims to improve the rigor and strength of evidence for "pattern identification by formula" studies， strengthen interdisciplinary integration and clinical feedback， and promote the development of TCM pattern models towards standardization and scientification. This study not only provides theoretical reference and methodological support for improving the system of TCM pattern animal models but also offers an important pathway for the experimental interpretation and modernization of TCM theories.

Liuhetang is one of the classic prescriptions included in the Catalogue of Ancient Classic Prescriptions （the Second Batch）. This study adopts the method of literature review to systematically sort out the ancient literature about Liuhetang and obtained a total of 127 effective data records， involving 82 ancient books （including 2 Japanese books）. The origin， medicinal composition， compatibility， original plants and their processing methods， dosage， decocting method， usage， and indications of Liuhetang were analyzed. Liuhetang is first recorded in the Formulary of the Bureau of Taiping People's Welfare Pharmacy in the Song Dynasty， consisting of Amomi Fructus， Pinelliae Rhizoma， Armeniacae Semen Amarum， Ginseng Radix et Rhizoma， Glycyrrhizae Radix et Rhizoma， red Poria， Pogostemonis Herba， Lablab Semen Album， Chaenomelis Fructus， Moslae Herba， Magnoliae Officinalis Cortex， Zingiberis Rhizoma Recens， and Jujubae Fructus. The original plants of these herbal medicines follow those in the 2020 edition of the Pharmacopoeia of the People's Republic of China. The raw materials of Amomi Fructus， Armeniacae Semen Amarum， Ginseng Radix et Rhizoma， Glycyrrhizae Radix et Rhizoma， red Poria， Pogostemonis Herba， Chaenomelis Fructus， Moslae Herba， Magnoliae Officinalis Cortex， Zingiberis Rhizoma Recens， and Jujubae Fructus are used in this prescription. Pinelliae Rhizoma， Glycyrrhizae Radix et Rhizoma， Lablab Semen Album， and Magnoliae Officinalis Cortex are processed with alum， stir-fried， processed with Zingiberis Rhizoma Recens， and processed with Zingiberis Rhizoma Recens， respectively. The recommended formula is composed of 0.79 g Amomi Fructus， 0.79 g Pinelliae Rhizoma， 0.79 g Armeniacae Semen Amarum， 0.79 g Ginseng Radix et Rhizoma， 0.79 g Glycyrrhizae Radix et Rhizoma， 1.57 g red Poria， 1.57 g Pogostemonis Herba， 1.57 g Lablab Semen Album， 1.57 g Chaenomelis Fructus， 3.15 g Moslae Herba， and 3.15 g Magnoliae Officinalis Cortex. The above medicines should be pulverized to reach 10 meshes， mixed with 450 mL water， 3 g Zingiberis Rhizoma Recens， and 3 g Jujubae Fructus， and decocted to reach a volume of 240 mL. The filtrate should be taken three times a day. In ancient times， Liuhetang was mainly used to treat cholera， vomiting， diarrhea， phlegm， dyspnea， cough， chest distension， dizziness and pain in the head， swelling in the limbs， lethargy， loss of appetite， difficult urination and dark urine caused by heat and dampness damage to the spleen and disharmony between spleen and stomach. In modern times， Liuhetang is mainly used to treat the digestive system diseases such as gastroenteritis， hepatitis， stomach pain， and diarrhea. The above research confirmed the key information of Liuhetang， providing a basis for the clinical application of this prescription.

ObjectiveTo compare the differences in color， odor， coumarin content and microbial community composition of Angelicae Dahuricae Radix（ADR） during different drying processes， and to explore the correlation between changes in microbial community composition and changes in quality indexes of ADR. MethodsThe fresh ADR was processed at three drying temperatures（50， 70， 100 ℃） by drying and steaming cutting， semi-fresh cutting and drying， fresh cutting and drying， and sulfur fumigation methods. The color values of samples were extracted by Adobe Photoshop 2022 software and subjected to principal component analysis（PCA）， electronic nose was used to identify the odor information of medicinal powders and subjected to loadings analysis， PCA， and linear discriminant analysis（LDA）， and high performance liquid chromatography（HPLC） was used to determine the contents of five coumarins（bergapten， oxypeucedanin， imperatorin， phellopterin， isoimperatorin）. The samples for microbial detection were taken from fresh dried samples， 50 ℃（dried and steamed cut， sulfur fumigated） samples， and 100 ℃（dried and steamed cut） samples when the water content was 50% and 14%， respectively. And the changes of microbial community composition during processing were determined by high-throughput sequencing method. The relationship between the changes of microbial community composition and the changes of odor， color and active component content of ADR during drying process was analyzed by Pearson correlation analysis. ResultsThe color quantification results showed that an increase in drying temperature led to the decrease of brightness value（L）， and the increases of red-green value（a） and yellow-blue value（b）， and the change of processing method had no obvious effect on the color of medicinal materials. The results of odor quantification showed that W1S， W2S， W5S， W2W and W1W sensor were sensitive to the odor changes of ADR and could be used to distinguish ADR decoction pieces from different processing methods. The results of HPLC showed that the coumarin content of ADR decreased with the increase of drying temperature and the delay of processing time， the optimal processing method was drying and steaming cutting method， and the optimal temperature was 50 ℃. High-throughput sequencing results showed that the dominant bacteria in ADR during processing were Achromobacter， Agrobacterium， Nocardioides， Mycobacterium and Enterobacter， the dominant fungi were Coprinopsis， Meyerozyma and Apiotrichum. The results of correlation analysis showed that the quality indexes of ADR were positively correlated with Agrobacterium， Mycobacterium in bacteria， Candida in fungi， and negatively correlated with Bacillus in bacteria. ConclusionThere are significant differences in the color， odor， coumarin content and microbial community composition of ADR in different drying processes， and the best drying method is drying and steaming cutting at 50 ℃. The relative abundance changes of 9 bacterial genera and 4 fungal genera are closely related to the quality formation of ADR during the drying process.

Objective: To investigate the effect of targeted silencing of DNA methyltransferase 3A(DNMT3A) on collagen deposition, proliferation and migration activity of mouse lung fibroblasts(PFs). Methods: In order to ensure the proliferation and migration activity of primary fibroblasts, the lung tissues of neonatal C57 suckling mice were taken, PFs were extracted after being sheared, and the morphology was observed and identified under the microscope. PFs cells were activated by 5 ng/ml TGF-β1for 24 h after cell attachment, and DNMT3A silencing model was constructed by small interfering RNA; The experiment was divided into control group, TGF-β1group, TGF-β1+ siRNA-NC group and TGF-β1+ siRNA-DNMT3A group. The protein expressions of DNMT3A, α-smooth muscle actin(α-SMA) and Collagen Ⅰ were detected by Western blot; Real time quantitative reverse transcription polymerase chain reaction(RT-qPCR) was used to detect the mRNA expression changes ofDNMT3A,α-SMAandCollagenⅠ. The proliferation ability of PFs was detected by CCK-8 and EdU staining; the migration ability of PFs was detected by scratch test and Transwell migration test. Results: Compared with the control group, TGF-β1induced the increase of DNMT3A in the activated PFs cell group(P<0.01), the protein and mRNA levels of fibrosis and proliferation related indicators α-SMA and Collagen Ⅰ also increased(allP<0.05), and the proliferation and migration ability of PFs increased(allP<0.000 1). Compared with the siRNA-NC group, the protein expression levels of DNMT3A(P<0.000 1) and related indicators α-SMA(P<0.01) and Collagen Ⅰ(P<0.01) significantly decreased in the DNMT3A silencing group by Western blot, and the mRNA levels ofDNMT3A,α-SMAandCollagenⅠby RT-qPCR also decreased(allP<0.001), and the proliferation(P<0.01) and migration ability(P<0.05) of PFs cells decreased compared with the control group. Conclusion Silencing DNMT3A can inhibit the deposition of collagen and the proliferation of PFs. DNMT3A can promote the proliferation and migration of PFs, and then promote the activation of PFs and the development of pulmonary fibrosis. This process may be regulated by DNA methylation modification.

In recent years, the prevalence of myopia has shown a significant upward trend characterized by earlier onset and accelerated progression rates. This epidemic not only imposes an increasing socioeconomic burden but also leads to severe vision impairment through high myopia-related complications that profoundly affect daily life. Current research on the pathogenesis of myopia primarily focuses on four mechanistic theories, including scleral remodeling, choroidal hemodynamic abnormalities, dopamine synthesis and metabolism, and inflammatory responses. The advent of high-throughput sequencing technologies has revolutionized our investigative approaches, enabling deeper exploration into myopia development through multi-omics strategies encompassing genomics, proteomics, and metabolomics. These cutting-edge methodologies have provided novel insights for myopia prevention and control, while simultaneously identifying potential therapeutic targets for precision intervention. This review focuses on summarizing the aforementioned research findings.