ObjectiveBased on the TCM theory of "Yang transforms materials to Qi while Yin constitutes material form"， this paper explored the effects of Zuogui Wan and Yougui Wan on the molecular mechanism of mitochondrial biogenesis during the adipogenic differentiation process of rat bone marrow mesenchymal stem cells （BMSCs） by mediating peroxisome proliferator-activated receptor γ coactivator-1α （PGC-1α） and peroxisome proliferators-activated receptor γ （PPARγ）， providing theoretical support for the prevention and treatment of postmenopausal osteoporosis （PMOP） using Zuogui Wan and Yougui Wan. MethodsBMSCs were divided into a blank group， Zuogui Wan （ZGW） group， Yougui Wan （YGW） group， and Progynova group. Cell identification was performed using flow cytometry. The growth curves of BMSCs were plotted using the methylthiazolyldiphenyl-tetrazolium bromide （MTT） method， and the effects of Zuogui Wan and Yougui Wan on the proliferation of BMSCs were detected. The Oil red O staining method was used to detect lipid droplet formation. The Western blot method was used to detect the expression of adipogenesis-related factors PPARγ， CCAAT/enharcer-binding protein （C/EBP）α， C/EBPβ， lipoprotein lipase （LPL） protein， brown adipose tissue-related （BAT） proteins PGC-1α， uncoupcing protein 1 （UCP1）， PR domdin-containing protein 16 （PRDM16）， mitochondrial biogenesis-related PGC-1α， nuclear respiratory factor 1 （Nrf1）， nuclear factor E₂-related factor 2 （Nrf2）， and mitochondrial transcription factor A （TFAM）. The expression of adipogenesis-related factors PPARγ， C/EBPα， C/EBPβ， LPL genes， and the copy number of cytochrome B （CytoB mtDNA） gene was detected using real-time polymerase chain reaction （Real-time PCR）. Mitochondrial ultrastructure was detected using transmission electron microscopy. ResultsCompared with that in the blank group， the proliferation ability of BMSCs in each treatment group increased continuously as the intervention progressed， and lipid droplets significantly decreased after the drug intervention. The mRNA and protein expression levels of adipogenesis-related factors PPARγ， C/EBPα， C/EBPβ， and LPL were significantly downregulated （P<0.01）， while those of the BAT-related factors PGC-1α， UCP1， PRDM16 were significantly upregulated （P<0.01）. The number of mitochondria increased， accompanied by reduced swelling. The double membrane and cristae structure were clear， and the internal cristae rupture was reduced. The copy number of CytoB mtDNA in each treatment group was significantly increased （P<0.01）. The protein expression levels of mitochondrial biogenesis-related PGC-1α， Nrf1， Nrf2， and TFAM in each treatment group were significantly increased （P<0.01）. ConclusionBoth Zuogui Wan and Yougui Wan can prevent and treat PMOP by intervening in mitochondrial biogenesis in BMSCs through PGC-1α/PPARγ.

Exercise-induced metabolic remodeling is a fundamental adaptive process whereby the body reorganizes systemic and cellular metabolism to meet the dynamic energy demands posed by physical activity. Emerging evidence reveals that such remodeling not only enhances energy homeostasis but also profoundly influences immune function through complex molecular interactions involving glucose, lipid, and protein metabolism. This review presents an in-depth synthesis of recent advances, elucidating how exercise modulates immune regulation via metabolic reprogramming, highlighting key molecular mechanisms, immune-metabolic signaling axes, and the authors’ academic perspective on the integrated “exercise-metabolism-immunity” network. In the domain of glucose metabolism, regular exercise improves insulin sensitivity and reduces hyperglycemia, thereby attenuating glucose toxicity-induced immune dysfunction. It suppresses the formation of advanced glycation end-products (AGEs) and interrupts the AGEs-RAGE-inflammation positive feedback loop in innate and adaptive immune cells. Importantly, exercise-induced lactate, traditionally viewed as a metabolic byproduct, is now recognized as an active immunomodulatory molecule. At high concentrations, lactate can suppress immune function through pH-mediated effects and GPR81 receptor activation. At physiological levels, it supports regulatory T cell survival, promotes macrophage M2 polarization, and modulates gene expression via histone lactylation. Additionally, key metabolic regulators such as AMPK and mTOR coordinate immune cell energy balance and phenotype; exercise activates the AMPK-mTOR axis to favor anti-inflammatory immune cell profiles. Simultaneously, hypoxia-inducible factor-1α (HIF-1α) is transiently activated during exercise, driving glycolytic reprogramming in T cells and macrophages, and shaping the immune landscape. In lipid metabolism, exercise alleviates adipose tissue inflammation by reducing fat mass and reshaping the immune microenvironment. It promotes the polarization of adipose tissue macrophages from a pro-inflammatory M1 phenotype to an anti-inflammatory M2 phenotype. Moreover, exercise alters the secretion profile of adipokines—raising adiponectin levels while reducing leptin and resistin—thereby influencing systemic immune balance. At the circulatory level, exercise improves lipid profiles by lowering pro-inflammatory free fatty acids (particularly saturated fatty acids) and triglycerides, while enhancing high-density lipoprotein (HDL) function, which has immunoregulatory properties such as endotoxin neutralization and macrophage cholesterol efflux. Regarding protein metabolism, exercise triggers the expression of heat shock proteins (HSPs) that act as intracellular chaperones and extracellular immune signals. Exercise also promotes the secretion of myokines (e.g., IL-6, IL-15, irisin, FGF21) from skeletal muscle, which modulate immune responses, facilitate T cell and macrophage function, and support immunological memory. Furthermore, exercise reshapes amino acid metabolism, particularly of glutamine, arginine, and branched-chain amino acids (BCAAs), thereby influencing immune cell proliferation, biosynthesis, and signaling. Leucine-mTORC1 signaling plays a key role in T cell fate, while arginine metabolism governs macrophage polarization and T cell activation. In summary, this review underscores the complex, bidirectional relationship between exercise and immune function, orchestrated through metabolic remodeling. Future research should focus on causative links among specific metabolites, signaling pathways, and immune phenotypes, as well as explore the epigenetic consequences of exercise-induced metabolic shifts. This integrated perspective advances understanding of exercise as a non-pharmacological intervention for immune regulation and offers theoretical foundations for individualized exercise prescriptions in health and disease contexts.

ObjectiveTo construct an animal model of respiratory syncytial virus（RSV）-infected pneumonia suitable for preclinical studies. MethodsThe virulence of RSV to the four cell lines was observed by cytopathic effect （CPE）， and 50% tissue culture infective dose（TCID₅₀） was calculated. Twenty BALB/c mice were randomly divided into a normal group and a model group. Six BALB/c-hIGF1R mice served as the humanized IGF1R model group. Except for the normal group， the other groups received intranasal RSV infection on days 1 and 3 to establish a viral pneumonia model. The efficacy of establishing an RSV-induced pneumonia animal model based on humanized insulin-like growth factor 1 receptor （IGF1R） mice was evaluated by measuring organ indices， peripheral blood lymphocyte percentages， pulmonary pathology and imaging， and pulmonary viral load. Additionally， ten BALB/c mice served as normal group， and thirty-two BALB/c-hIGF1R mice were randomly assigned to humanized IGF1R model group， ribavirin group （82.5 mg·kg^-¹·d^-¹）， and high and low dose groups of Lianhua Qingwen （3.3 mg·kg^-¹·d^-¹ ， 1.65 mg·kg^-¹·d^-¹）， with 8 mice per group. The viral load in lung tissue was measured after ribavirin and Lianhua Qingwen intervention， and the model was applied to the evaluation of anti-RSV drugs. ResultsIn the lungs of the humanized IGF1R model group， large solid and diffuse ground-glass shadows were seen， and the lung volume was significantly increased （P<0.01）. The lung index was significantly increased （P<0.01）， and both the spleen index and thymus index were significantly decreased （P<0.01）. The percentages of CD3⁺ and CD4⁺T cells were significantly decreased （P<0.05）， and there was a large amount of inflammation and stasis in the perivascular area of the lung tissue， which was predominantly characterized by lymphocytes. The endothelium of blood vessels was partially detached， with a small number of eosinophils. After infecting BALB/c-hIGF1R mice with RSV， the expression of viral nucleic acids in the lung tissue of the mice was significantly increased， with significant differences compared with the normal group （P<0.01）. The expression of viral nucleic acids in the ribavirin group and the high and low dose groups of Lianhua Qingwen was significantly reduced， with significant differences compared with the normal group （P<0.01）. ConclusionHumanized IGF1R mice are more susceptible to respiratory SVC， and the animal model of RSV-infected pneumonia based on humanized IGF1R mice was successfully constructed， which is suitable for the evaluation of anti-RSV drugs.

Currently， viral pneumonia （VP） presents a major challenge to global public health. Traditional Chinese medicine （TCM） prevention and treatment of VP is guided by the core concept of strengthening vital energy and eliminating pathogenic factors rather than targeting specific pathogens， alongside a holistic approach of syndrome differentiation and treatment. By summarizing the clinical syndromes of patients， the core pathogenesis was clarified to achieve individualized therapy. Animal models for disease-syndrome combination integrate the etiology and pathogenesis of VP and simulate the individualized manifestations of patients at different disease stages， providing an experimental platform for elucidating the theoretical basis of TCM in treating VP and promoting the development of effective TCM formulations. However， there are limitations in the application and promotion of disease-syndrome combination animal models due to the lack of standardization and normalization of model construction systems， which arise from diverse species selection， compound modeling methods， and multidimensional evaluation indicators. This paper systematically reviewed the recent research on animal models for disease-syndrome combination in VP from the perspective of species selection， modeling methods， evaluation indicators， and application status. Furthermore， it summarized the advantages and limitations of existing models， identifies future directions for improvement， and proposes optimization strategies. This review provides a reference for establishing standardized and normalized animal models for disease-syndrome combinations in VP， supporting the theoretical modernization of TCM in preventing and controlling emerging respiratory infectious diseases， and contributing to the development of new TCM drugs.

ObjectiveTo construct an animal model of respiratory syncytial virus（RSV）-infected pneumonia suitable for preclinical studies. MethodsThe virulence of RSV to the four cell lines was observed by cytopathic effect （CPE）， and 50% tissue culture infective dose（TCID₅₀） was calculated. Twenty BALB/c mice were randomly divided into a normal group and a model group. Six BALB/c-hIGF1R mice served as the humanized IGF1R model group. Except for the normal group， the other groups received intranasal RSV infection on days 1 and 3 to establish a viral pneumonia model. The efficacy of establishing an RSV-induced pneumonia animal model based on humanized insulin-like growth factor 1 receptor （IGF1R） mice was evaluated by measuring organ indices， peripheral blood lymphocyte percentages， pulmonary pathology and imaging， and pulmonary viral load. Additionally， ten BALB/c mice served as normal group， and thirty-two BALB/c-hIGF1R mice were randomly assigned to humanized IGF1R model group， ribavirin group （82.5 mg·kg^-¹·d^-¹）， and high and low dose groups of Lianhua Qingwen （3.3 mg·kg^-¹·d^-¹ ， 1.65 mg·kg^-¹·d^-¹）， with 8 mice per group. The viral load in lung tissue was measured after ribavirin and Lianhua Qingwen intervention， and the model was applied to the evaluation of anti-RSV drugs. ResultsIn the lungs of the humanized IGF1R model group， large solid and diffuse ground-glass shadows were seen， and the lung volume was significantly increased （P<0.01）. The lung index was significantly increased （P<0.01）， and both the spleen index and thymus index were significantly decreased （P<0.01）. The percentages of CD3⁺ and CD4⁺T cells were significantly decreased （P<0.05）， and there was a large amount of inflammation and stasis in the perivascular area of the lung tissue， which was predominantly characterized by lymphocytes. The endothelium of blood vessels was partially detached， with a small number of eosinophils. After infecting BALB/c-hIGF1R mice with RSV， the expression of viral nucleic acids in the lung tissue of the mice was significantly increased， with significant differences compared with the normal group （P<0.01）. The expression of viral nucleic acids in the ribavirin group and the high and low dose groups of Lianhua Qingwen was significantly reduced， with significant differences compared with the normal group （P<0.01）. ConclusionHumanized IGF1R mice are more susceptible to respiratory SVC， and the animal model of RSV-infected pneumonia based on humanized IGF1R mice was successfully constructed， which is suitable for the evaluation of anti-RSV drugs.

Currently， viral pneumonia （VP） presents a major challenge to global public health. Traditional Chinese medicine （TCM） prevention and treatment of VP is guided by the core concept of strengthening vital energy and eliminating pathogenic factors rather than targeting specific pathogens， alongside a holistic approach of syndrome differentiation and treatment. By summarizing the clinical syndromes of patients， the core pathogenesis was clarified to achieve individualized therapy. Animal models for disease-syndrome combination integrate the etiology and pathogenesis of VP and simulate the individualized manifestations of patients at different disease stages， providing an experimental platform for elucidating the theoretical basis of TCM in treating VP and promoting the development of effective TCM formulations. However， there are limitations in the application and promotion of disease-syndrome combination animal models due to the lack of standardization and normalization of model construction systems， which arise from diverse species selection， compound modeling methods， and multidimensional evaluation indicators. This paper systematically reviewed the recent research on animal models for disease-syndrome combination in VP from the perspective of species selection， modeling methods， evaluation indicators， and application status. Furthermore， it summarized the advantages and limitations of existing models， identifies future directions for improvement， and proposes optimization strategies. This review provides a reference for establishing standardized and normalized animal models for disease-syndrome combinations in VP， supporting the theoretical modernization of TCM in preventing and controlling emerging respiratory infectious diseases， and contributing to the development of new TCM drugs.

Objective To explore the value of serum D-dimer(D-D),fibrinogen(FIB),platelet(PLT),C-reactive pro-tein(CRP)and tissue plasminogen activator inhibitor(PAI)-1 levels in predicting lower extremity deep vein thrombosis(DVT)after hip joint surgery in the elderly.Methods A retrospective analysis was performed on 165 elderly patients with hip joint surgery admitted from February 2020 to May 2022,including 89 males and 76 females,aged from 60 to 75 years old with an average of(66.43±5.48)years,and there were 102 cases of femoral neck fracture and 63 cases of femoral head necrosis.Serum levels of D-D,FIB,PLT,CRP and PAI-1 tests were performed in all patients within 24 hours after admission,and the patients were divided into DVT group and non-DVT group according to whether they developed DVT.Results The levels of D-D,FIB,PLT,CRP,and PAI-1 in the DVT group were higher than those in the non-DVT group(P＜0.001).Spearman analysis showed that DVT was positively correlated with PLT,CRP,D-D,FIB,and PAI-1 levels(r=0.382,0.213,0.410,0.310,0.353,all P＜0.001).The results of binary Logistic regression analysis showed that D-D and PLT were independent factors affecting the occurrence of DVT(OR=0.038,0.960,P=0.032,0.011).The area under curve(AUC)of D-D,FIB,PLT,CRP,PAI-1,and the five combined predictions for DVT were 0.843,0.692,0.871,0.780,0.819,and 0.960,respectively.The AUC of the five combined predictions was higher than that of the single prediction(P＜0.05).Conclusion D-D,FIB,PLT,CRP and PAI-1 are effective in predicting DVT after hip surgery in the elderly,and the combined prediction of the five factors has higher effi-cacy.

Objective To construct an artificial intelligence assisted diagnosis model based on deep learning for dynamically recognizing gastric lesions and their locations under gastroscopy in real time,and to evaluate its ability to detect and recognize gastric lesions and their locations.Methods The gastroscopy videos of 104 patients in our hospital was retrospectively analyzed,and the video frames were manually annotated.The annotated picture frames of lesion category were divided into the training set and the validation set according to the ratio of 8∶2,and the annotated picture frames of location category were divided into the training set and the validation set according to the patient sources at the ratio of 8∶2.These sets were utilized for training and validating the respective models.YoloV4 model was used for the training of lesion recognition,and ResNet152 model was used for the training of location recognition.The accuracy,sensitivity,specificity,positive predictive value,negative predictive value and location recognition accuracy of the auxiliary diagnostic model were evaluated.Results A total of 68 351 image frames were annotated,with 54 872 frames used as the training set,including 41 692 frames for lesion categories and 13 180 frames for location categories.The validation set consisted of 13 479 frames,comprising 10 422 frames for lesion categories and 3 057 frames for location categories.The lesion recognition model achieved an overall accuracy of 98.8%,with a sensitivity of 96.6%,specificity of 99.3%,positive predictive value of 96.3%,and negative predictive value of 99.3% in validation set.Meanwhile,the location recognition model demonstrated an top-5 accuracy of 87.1% .Conclusion The artificial intelligence assisted diagnosis model based on deep learning for real-time dynamic recognition of gastric lesions and their locations under gastroscopy has good ability in lesion detection and location recognition,and has great clinical application prospects.

AIM To investigate the renoprotective effects and mechanism of Caragana sinica roots,Astragali Radix and their combination use on the rat model of diabetic kidney disease(DKD).METHODS Sixty SD rats were randomly divided into the normal group,the model group,the Empagliflozin group(10 mg/kg),the C.sinica roots group(3.1 g/kg),the Astragali Radix group(3.1 g/kg),and the C.sinica roots plus Astragali Radix group(6.2 g/kg).In contrast to the intact rats of the normal group,rats of the other groups underwent left nephrectomy and intraperitoneal injection of streptozotocin(STZ)followed by 8-week intragastric gavage of the corresponding agent,during which their levels of FBG and 24 h urinary microprotein(24 h U-mAlb)were detected regularly.The rats killed at the end of the trial had their levels of Scr,BUN and Cystatin C detected;their renal pathological changes observed by HE,PAS and Masson stainings;their expressions of macrophage marker proteins CD68 and iNOS detected by immunohistochemistry;their expressions of renal JNK/SAPK pathway proteins such as JNK,p-JNK,TNF-α,IL-1β and ICAM-1 detected by Western blot;and their serum levels of TNF-α,IL-1β and ICAM-1 detected by ELISA as well.RESULTS Compared with the normal group,the model group displayed increased levels of FBG,24 h U-mAlb,BUN,Scr and Cystatin C(P＜0.01);more renal pathological damage,and increased levels of TNF-α,IL-1β and ICAM-1 in the renal tissue and serum(P＜0.01);and increased renal protein expressions of JNK and p-JNK(P＜0.01).Compared with the model group,all of the groups intervened with an agent shared decreased levels of FBG,24 h U-mAlb,BUN,Scr and Cystatin C(P＜0.05,P＜0.01);alleviated renal pathological damage,and decreased levels of TNF-α,IL-1β and ICAM-1 in renal tissue and serum(P＜0.01).There existed no group difference between the Astragali Radix group and the C.sinica roots group in terms of all indices levels(P＞0.05).The C.sinica roots plus Astragali Radix group demonstrated its superiority over either C.sinica roots group or Astragali Radix group in terms of all the indices levels(P＜0.05,P＜0.01).CONCLUSION C.sinica roots,Astragali Radix or their combination use can alleviate the renal pathological damage and improve the renal function of DKD rats through inhibiting the M1 macrophages,reducing the secretion of inflammatory factors,whose mechanism may lie in the inhibition of JNK/SAPK signal pathway activation.A better effect can be anticipated by the combination use of C.sinica roots and Astragali Radix.

AIM To investigate the impact of the combination use of Caragana sinica Radix and Astragali Radix on a rat model of diabetic kidney disease(DKD).METHODS The SD rats were randomly divided into the normal group,the model group,the Engelgin group,the Caragana sinica Radix group,the Astragali Radix group and the Caragana sinica Radix-Astragali Radix compatibility group,with 10 rats in each group.Following the successful establishment of a DKD model by unilateral amputate renal combined with intraperitoneal injection of streptozotocin(STZ),the corresponding gastric gavage of drugs were administered for 8 weeks.The rats had their 24 h urinary microalbumin(24 h U-mALB)detected at 0,4 and 8 weeks;their levels of Scr,BUN,CysC,MDA and SOD activity detected by ELISA;their renal ROS expression detected by fluorescence probe method;their renal pathological changes observed by HE,PAS,Masson and PASM-Masson staining;their renal expressions of NOX4,Drp1,MFN2 and P62 detected by immunohistochemistry;and their renal expressions of PINK1,MFN2,Parkin,LC3-Ⅱ/Ⅰ,P62 and p-Drp1 proteins detected by Western blot.RESULTS Compared with the model group,each treatment group displayed lower contents of 24 h U-mALB,BUN,Scr and CysC in the serum of rats(P＜0.01);reduced pathological structure damage of the renal tissue;decreased MDA level in serum and kidney(P＜0.01);increased SOD activity(P＜0.01);increased renal protein expressions of PINK1,MFN2,Parkin and LC3-Ⅱ/Ⅰ(P＜0.05,P＜0.01);and decreased protein expressions of p-Drp1 and P62(P＜0.01).And the Astragali Radix group and the Caragana sinica Radix-Astragali Radix compatibility group took the lead(P＜0.05,P＜0.01).CONCLUSION Upon the rat model of DKD,the compatibility of Caragana sinica Radix and Astragali Radix may alleviate their renal pathological damage and improve their renal function by activating the mitochondrial autophagy to improve mitochondrial dynamics and inhibit their oxidative stress via PINK1/MFN2/Parkin pathway.