OBJECTIVE To investigate the mechanism of Xihuang pill （XHP） against diffuse large B-cell lymphoma （DLBCL）. METHODS The active ingredients of XHP and potential therapeutic targets for DLBCL were identified using TCMSP， GeneCards and DisGeNET databases. Protein-protein interaction networks were constructed using the String database and Cytoscape software to screen core components and core targets. Gene ontology and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analyses were then performed. The clinical relevance of core targets was analyzed using the GEPIA and PanCanSurvPlot databases. Molecular docking and molecular dynamics （MD） simulation were conducted to verify the interactions between core components and core targets， and the binding free energy was calculated using the molecular mechanics Poisson-Boltzmann surface area （MM-PBSA） method. The effects of XHP on DLBCL and the related molecular mechanisms were validated using CCK-8 assay， flow cytometry and Western blot. RESULTS Network pharmacology analysis identified 108 active ingredients of XHP and 410 potential therapeutic targets for DLBCL. Six core components （e.g.， 17 beta-estradiol， quercetin） and ten core targets [e.g.， tumor protein 53 （TP53）， proto-oncogene tyrosine-protein kinase Src （SRC）] were obtained. Enrichment analysis indicated that the anti-DLBCL effects of XHP were primarily associated with the apoptotic signaling pathway， the phosphoinositide 3-kinase （PI3K）/protein kinase B （Akt） signaling pathway and so on. Clinical correlation analysis revealed that TP53 and SRC expression were significantly up-regulated in DLBCL tissues and associated with poor patient prognosis （P＜0.05）. Molecular docking， MD simulations and MM-PBSA calculations confirmed that the SRC-quercetin complex had a mail：stronger and more stable binding affinity. In vitro experiments demonstrated that XHP concentration-dependently inhibited the proliferation of DLBCL cells； compared with control group， XHP medium- and high-dose groups could significantly induce the apoptosis of SU-DHL2 and SU-DHL4 cells， and significantly down- regulated the expressions of SRC protein， phosphorylated （p）-PI3K/PI3K and p-Akt/Akt in SU-DHL4 cells （P＜0.05）. CONCLUSIONS XHP may inhibit the proliferation and induce the apoptosis of DLBCL cells by regulating the SRC/PI3K/Akt signaling pathway.

This paper summarizes the experience of professor LIU Shangyi in differentiating and treating rectal carcinoma from the perspective of "treating ulcers as tumors". It is believed that the manifestations of rectal cancer， such as anal itching， cauliflower-like or ulcerative tumors， and bloody stools， are similar to external skin itching， skin ulceration， swelling， and skin bleeding. Therefore， the treatment principles of sores and ulcers department can be applied to treat tumors. Following the diagnostic and treatment approach of dermatology regarding the clinical typical symptoms， for anal itching， the main treatment is to dispel wind and remove dampness， clear heat to relieve itching， using "skin medicinals" such as Difuzi （Fructus Kochiae） and Baixianpi （Cortex Dictamni）， as well as wind medicinals such as Shengma （Rhizoma Cimicifugae） and Fangfeng （Radix Saposhnikoviae）. For constipation， the method of clearing heat and resolving toxins， unblocking the bowels and discharging heat can be used， commonly using Baitouweng （Radix Pulsatillae）， Donglingcao （Herba Rabdosiae Rubescentis） and Dahuang （Radix et Rhizoma Rhei）. In terms of mucosal ulcers， it is critical to differentiate between yin and yang； the treatment of yang ulcers should focus on clearing heat and resolving toxins， commonly using modified Xianfang Huoming Beverage （仙方活命饮）； for yin ulcers， emphasis should be placed on removing dampness and resolving phlegm， commonly with modified Yiyi Fuzi Baijiang Powder （薏苡附子败酱散）. For bloody stool， differentiation is made between deficiency and excess， with the use of Diyu （Radix Sanguisorbae） and Huaihua （Flos Sophorae） for excess syndrome to cool and stop blee-ding， and both herbs dry-fried until charred combined with liver-tonifying medicinals for deficiency syndrome

Diabetic nephropathy （DN） is one of the most common and severe microvascular complications of diabetes， with a complex pathogenesis involving immune inflammatory responses， oxidative stress， apoptosis， glomerulosclerosis， renal interstitial fibrosis， and other pathological processes. In recent years， numerous animal or cell model experiments have revealed that the transforming growth factor-β （TGF-β）/mothers against decapentaplegic homolog （Smad）， phosphoinositide 3-kinase （PI3K）/ protein kinase B （Akt）/mammalian target of rapamycin （mTOR）， mitogen-activated protein kinase （MAPK）， AMP-activated protein kinase （AMPK）， nuclear factor-κB （NF-κB）， Janus kinase （JAK）/signal transducer and activator of transcription （STAT）， neurogenic locus notch homolog protein （Notch）， nuclear factor E₂-related factor 2 （Nrf2）， secretory glycoprotein （Wnt）/β-catenin， and other classical signaling pathways play important roles in the occurrence and development of DN. Traditional Chinese medicines， as natural drugs， possess characteristics such as multiple components， multiple targets， and few adverse reactions， demonstrating unique advantages in regulating the aforementioned signaling pathways and improving renal pathological changes. This review summarized recent research progress on the intervention of DN through the regulation of the aforementioned signaling pathways by single compounds and formulas of traditional Chinese medicine， focusing on their mechanisms of action in regulating immune inflammatory responses， inhibiting renal fibrosis， oxidative stress， improving metabolic disorders， and other aspects. The aim is to provide theoretical references for a deeper understanding of the modern pharmacological basis and clinical application of traditional Chinese medicine in the treatment of DN.

This paper explores the immune-inflammatory regulatory mechanism of colorectal cancer cachexia and corresponding traditional Chinese medicine （TCM） intervention strategies based on the TCM theory of reinforcing healthy qi and dispelling pathogenen. It is proposed that depletion of healthy qi is the root cause of colorectal cancer cachexia， while cancer toxins exuberance is the symptomatic manifestation of the disease， and failure of the spleen and stomach is the core pathogenesis. In terms of treatment， a TCM treatment system is constructed based on the principles of reinforcing healthy qi to consolidate the foundation and regulate immunity， and dispelling pathogen to remove toxins and alleviate inflammation. The system clarifies the healty qi-reinforcing method as fortifying spleen and boosting qi to enhance immune function， and nourishing blood and enriching yin to consolidate yin essence and healthy qi. It also emphasizes the pathogen-dispelling method as clearing heat and removing toxins to regulate the secretion of inflammatory cytokines， and promoting blood circulation and resolving stasis to improve the immune microenvironment and microcirculation. This therapeutic approach may provide valuable insights for TCM interventions in colo-rectal cancer cachexia.

Objective:To explore the value of quantitative parameters of diffusion weighted imaging (DWI) combined with dynamic enhanced magnetic resonance imaging (DCE-MRI) in predicting the efficacy of neoadjuvant chemotherapy for locally advanced breast cancer (LABC) .Methods:A total of 97 patients with LABC admitted to the hospital from Mar. 2020 to Mar. 2023 were studied and received neoadjuvant chemotherapy to evaluate the therapeutic effect, and DWI and DCE-MRI scans were performed before and after treatment. The difference of DWI and DCE-MRI quantitative parameters before treatment in patients with different therapeutic effects was compared, and the correlation between the difference of DWI and DCE-MRI quantitative parameters and therapeutic effect was analyzed. The predictive value of quantitative parameters of DWI and DCE-MRI before treatment was analyzed. The quantitative parameters of DWI and DCE-MRI in patients with different pathological reactions were compared before treatment, and the quantitative parameters of DWI and DCE-MRI were compared before and after treatment.Results:The apparent diffusion coefficient (ADC) of patients with effective chemotherapy before treatment was higher, but transport constant (Ktrans) , extracellular space volume percentage (Ve) and rate constant (Kep) were lower ( t=5.0, 3.27, 3.55, 3.89, P < 0.05) ; Spearman correlation analysis showed that ADC was positively correlated with chemotherapy efficacy before treatment (r=0.66; P < 0.05) , while Kep, Ve, Ktrans were negatively correlated with it (r=-0.58, -0.47, -0.60; P < 0.05) ; ROC curves showed that the area under the curve (AUC) values of ADC, Kep, Ve and Ktrans in predicting chemotherapy efficacy before treatment were 0.771, 0.797, 0.664 and 0.715, respectively, while the combined AUC value of each indicator was 0.832; Compared with patients with non-significant pathological response, ADC before treatment was higher in patients with significant pathological response, Kep, Ve and Ktrans were lower ( t=4.46, 3.32, 3.60, 3.95, P < 0.05) ; Compared with before treatment, ADC value increased after treatment, while Kep, Ve and Ktrans decreased ( t=8.77, 6.22, 9.34, 10.26, P < 0.05) . Conclusion:Quantitative parameters of DWI and DCE-MRI can reflect the changes in the condition of patients with locally advanced neoadjuvant chemotherapy, and the combination of the two can help to improve the predictive value of chemotherapy efficacy in patients.

Objective:To explore the predictive potential of dual-energy CT (DECT) quantitative parameters in identifying breast cancer molecular subtypes and the expression of the epidermal growth factor receptor (EGFR) .Methods:A cohort of 97 breast cancer patients, treated between Jun. 2022 and Jun. 2024 were selected. The study compared DECT parameters-such as iodine concentration (IC) , normalized iodine concentration (NIC) , spectral curve slope (λ HU) , and effective atomic number (Z eff) in both arterial and venous phases across different molecular subtypes. A multiclass logistic regression model was employed to assess the parameters' value in predicting molecular subtypes, while a binary logistic regression model was used to evaluate their predictive value for EGFR expression. Results:Multiple Logistic regression analysis showed that after adjusting for confounder age and family history, IC ( OR=1.72, 2.78, 3.05) , NIC ( OR=2.52, 1.94, 2.93) , λ HU ( OR=2.08, 2.54, 3.17) and Z eff ( OR=2.03, 2.30, 2.37) at arterial stage were independently correlated with the molecular subtypes of breast cancer ( P<0.05) . Binary logistic regression analysis, adjusted for tumor size and lymph node metastasis, identified arterial phase IC ( OR=3.45) , NIC ( OR=2.73) , λ HU ( OR=2.59) , and Z eff ( OR=1.76) as independent risk factors for EGFR-positive breast cancer ( P<0.05) . Conclusion:DECT quantitative parameters, particularly arterial phase IC, NIC, λ HU, and Zeff, offer valuable insights into the molecular subtyping of breast cancer and EGFR expression, thereby assisting in the development of personalized treatment strategies.

Objective:To explore the predictive value of dual-energy CT lumbar quantitative measurement combined with serum bone alkaline phosphatase (BALP), osteocalcin (BGP), and β-type I collagen carboxy-terminal peptide ( β-CTx) for the risk of fractures in patients with osteoporosis. Methods:A total of 90 patients with osteoporosis who underwent dual-energy CT lumbar quantitative detection at the First People’s Hospital of Shangqiu from Jan. 2020 to Jan. 2023 were selected as the research subjects. According to the occurrence of fractures within one year of follow-up, the patients were divided into the fracture group ( n=36) and the non-fracture group ( n=54). The clinical data, dual-energy CT lumbar quantitative parameters, and serum BALP, BGP, and β-CTx levels of the two groups were compared. Logistic multivariate regression analysis was used to analyze the risk factors for fractures in patients with osteoporosis, and the receiver operating characteristic (ROC) curve was used to analyze the predictive value of dual-energy CT lumbar quantitative parameters combined with serum BALP, BGP, and β-CTx for fractures in patients with osteoporosis. Results:There were no statistically significant differences in gender, age, body mass index (BMI), smoking history, drinking history, or bone marrow CT value parameters between the fracture group and the non-fracture group ( χ2=0.66, t=1.86, t=1.59, χ2=0.19, χ2=0.98, t=0.40, all P > 0.05). However, there were statistically significant differences in the history of fragility fractures, regular calcium supplementation, lumbar bone mineral density (BMD), calcium CT value, mixed energy image CT value, calcium concentration, fat fraction, BALP, BGP, and β-CTx ( χ2=9.73, χ2=4.17, t=3.14, t=7.06, t=7.92, t=6.50, t=3.26, t=8.12, t=12.66, t=11.37, all P < 0.05). Logistic multivariate regression analysis showed that the history of fragility fractures ( OR=1.863, P=0.023), regular calcium supplementation ( OR=1.728, P=0.031), fat fraction ( OR=1.685, P=0.009), BALP ( OR=1.815, P=0.002), BGP ( OR=1.605, P=0.003), and β-CTx ( OR=1.636, P < 0.001) were risk factors for fractures in patients with osteoporosis, while lumbar bone BMD ( OR=0.456, P=0.025), calcium CT value ( OR=0.486, P=0.005), mixed energy image CT value ( OR=0.490, P < 0.001), and calcium concentration ( OR=0.509, P=0.010) were protective factors. The ROC curve showed that the sensitivity of dual-energy CT lumbar quantitative measurement parameters combined with serum BALP, BGP, and β-CTx in predicting fractures in patients with osteoporosis was 94.68%, the specificity was 92.16%, the Youden index was 0.868, the area under the curve (AUC) was 0.947, and the 95% confidence interval ( CI) was 0.905 to 0.982. Conclusion:Dual-energy CT lumbar quantitative parameters and serum BALP, BGP, and β-CTx levels have certain predictive value for the risk of fractures in patients with osteoporosis, and the combined prediction value is higher.

Objective To investigate the mechanism of Astragali Complanati Semen in the prevention and treatment of hyperlipidemia;To provide theoretical basis for its clinical application.Methods The active components of Astragali Complanati Semen were retrieved and screened through TCMSP,TCMID and TDT databases to obtain the action targets of the active components.Hyperlipidemia targets were obtained through GeneCards,DisGeNET,and TTD databases,and the drug active component targets were intersected with hyperlipidemia targets.Cytoscape 3.9.1 software and STRING database were used to construct active component-target network and protein-protein interaction network,screening for major active components and core targets.GO and KEGG pathway enrichment analysis was performed using the DAVID database,and the CB-Dock platform was used for molecular docking.HepG2 cells were induced to construct a high-fat cell model using oleic acid and palmitic acid,and intervened with Astragali Complanati Semen freeze-dried powder solution.The mRNA expression of the core target was detected by RT-qPCR.Results A total of 10 active components of Astragali Complanati Semen and 67 potential action targets of hyperlipidemia were identified,involving signaling pathways such as AGE-RAGE,lipid metabolism,HIF-1,etc.Experimental results showed that intervention with Astragali Complanati Semen could reduce lipid accumulation in the high-lipid cell model,with an optimal intervention concentration of 500 μg/mL;RT-qPCR revealed significant down-regulation of TNFα,IL6,AKT1,PPARG,and other genes after intervention with Astragali Complanati Semen.Conclusion Astragali Complanati Semen exerts lipid-regulating effects through multiple targets and pathways,providing a basis for its application in the prevention and treatment of hyperlipidemia.

From June 13th to 16th, 2025, the European Academy of Allergy and Clinical Immunology annual meeting was successfully held in Glasgow, UK. The conference attracted over 8 000 scholars and experts from around the world, becoming the largest global event in the fields of allergy, asthma, and clinical immunology. The theme of the conference,"Breaking boundaries in Allergy, Asthma and Clinical Immunology: Integrating Planetary Health for a Sustainable Future" focused on the close relationship between environmental changes and allergic diseases. As climate change continues to intensify, the pathogenesis and prevention strategies for allergic diseases have garnered widespread attention. In this meeting, allergic rhinitis and chronic rhinosinusitis were major topics of discussion, and the research advancements presented provided valuable insights for future clinical treatments.

Objective:To explore the value of quantitative parameters of diffusion weighted imaging (DWI) combined with dynamic enhanced magnetic resonance imaging (DCE-MRI) in predicting the efficacy of neoadjuvant chemotherapy for locally advanced breast cancer (LABC) .Methods:A total of 97 patients with LABC admitted to the hospital from Mar. 2020 to Mar. 2023 were studied and received neoadjuvant chemotherapy to evaluate the therapeutic effect, and DWI and DCE-MRI scans were performed before and after treatment. The difference of DWI and DCE-MRI quantitative parameters before treatment in patients with different therapeutic effects was compared, and the correlation between the difference of DWI and DCE-MRI quantitative parameters and therapeutic effect was analyzed. The predictive value of quantitative parameters of DWI and DCE-MRI before treatment was analyzed. The quantitative parameters of DWI and DCE-MRI in patients with different pathological reactions were compared before treatment, and the quantitative parameters of DWI and DCE-MRI were compared before and after treatment.Results:The apparent diffusion coefficient (ADC) of patients with effective chemotherapy before treatment was higher, but transport constant (Ktrans) , extracellular space volume percentage (Ve) and rate constant (Kep) were lower ( t=5.0, 3.27, 3.55, 3.89, P < 0.05) ; Spearman correlation analysis showed that ADC was positively correlated with chemotherapy efficacy before treatment (r=0.66; P < 0.05) , while Kep, Ve, Ktrans were negatively correlated with it (r=-0.58, -0.47, -0.60; P < 0.05) ; ROC curves showed that the area under the curve (AUC) values of ADC, Kep, Ve and Ktrans in predicting chemotherapy efficacy before treatment were 0.771, 0.797, 0.664 and 0.715, respectively, while the combined AUC value of each indicator was 0.832; Compared with patients with non-significant pathological response, ADC before treatment was higher in patients with significant pathological response, Kep, Ve and Ktrans were lower ( t=4.46, 3.32, 3.60, 3.95, P < 0.05) ; Compared with before treatment, ADC value increased after treatment, while Kep, Ve and Ktrans decreased ( t=8.77, 6.22, 9.34, 10.26, P < 0.05) . Conclusion:Quantitative parameters of DWI and DCE-MRI can reflect the changes in the condition of patients with locally advanced neoadjuvant chemotherapy, and the combination of the two can help to improve the predictive value of chemotherapy efficacy in patients.