Objective To investigate the effects of cucurbitacin B (CucB) on alleviating skin lesions and inflammation in psoriasis mice via the cGAS-STING signaling pathway. Methods The expression of genes associated with the cGAS-STING signaling pathway in psoriatic lesions and non-lesional skin was analyzed, and hallmark gene set enrichment analysis was performed. The cytotoxicity of CucB on BMDMs was evaluated using the CCK-8 assay. The expression levels of genes and proteins related to the cGAS-STING signaling pathway, along with the secretion of inflammatory cytokines, were measured at different concentrations of CucB using quantitative PCR, Western blotting, and ELISA. Imiquimod-induced psoriasis BALB/c mice were divided into four groups: normal group, model group, low-dose CucB group [0.1 mg/ (kg.d)], and high-dose CucB group [0.4 mg/ (kg.d)], with five mice per group. PASI scoring was performed to assess the severity of psoriasis after 6 days of treatment, and HE staining was conducted to observe pathological damage. Meanwhile, the mRNA levels of inflammatory cytokines and their secretion were detected by qPCR and ELISA. Results Most cGAS-STING signaling-related genes were upregulated in lesional skin of psoriasis patients, and the hallmark gene set enrichment analysis revealed that the most significantly upregulated genes were primarily associated with immune response signaling pathways. CucB inhibited dsDNA-induced phosphorylation of interferon regulatory factor 3 (IRF3) and STING proteins in both bone-marrow derived macrophages(BMDMs) and THP-1 cells. CucB also suppressed dsDNA-induced mRNA expression of IFNB1, TNF, IFIT1, CXCL10, ISG15, and reduced the secretion of cytokines such as IFN-β, IL-1β, and TNF-α in THP-1 cells. In the imiquimod-induced psoriasis mouse model, CucB treatment reduced psoriatic symptoms, alleviated skin lesions, and attenuated inflammation. ELISA and qPCR results showed that CucB significantly reduced serum secretion levels of IL-6, TNF-α, and IL-1β, as well as the mRNA levels of IL23A, IL1B, IL6, TNF, and IFNB1. Conclusion CucB inhibits cytoplasmic DNA-induced activationc of the GAS-STING pathway. CucB significantly attenuates skin lesions and inflammation in IMQ-induced psoriatic mice, and the potential molecular mechanism may be related to the down-regulation of the cGAS-STING pathway.
Animals ; Psoriasis/pathology* ; Signal Transduction/drug effects* ; Membrane Proteins/genetics* ; Mice ; Nucleotidyltransferases/genetics* ; Disease Models, Animal ; Mice, Inbred BALB C ; Skin/metabolism* ; Triterpenes/therapeutic use* ; Humans ; Cytokines/metabolism* ; Inflammation/drug therapy* ; Male

Physiologically based pharmacokinet-ics(PBPK)model is a tool to simulate the process of drug absorption,distribution,metabolism and excretion in vivo.It is widely used in drug research and regulation.In the bioequivalence evaluation of generic drug consistency evaluation and drug pro-duction process change,the PBPK model can pro-vide a certain reference and theoretical support for the drug bioequivalence,thereby promoting safer and more economic drug clinical trials.In this pa-per,the application progress of PBPK model in bio-equivalence study will be reviewed in order to pro-vide support for clinical research on drugs in China.

Rice (Oryza sativa L.), as a thermophilic crop, is highly susceptible to cold stress during its growth process. Chilling injury at the plumule stage and seedling stage often affects the morphological development and leads to yield reduction of rice. The exploration and utilization of cold tolerance genes are among the most direct and effective approaches to address cold stress in rice. To identify quantitative trait loci (QTLs) associated with cold tolerance at plumule and seedling stages, in this study, we measured the seedling rates and survived seedling rates of the indica rice cultivar 'HZ', the japonica cultivar 'Nekken2', and their 120 recombinant inbred lines (RILs) under cold stress. A previously constructed high-density genetic linkage map was used for the mapping of the QTLs conferring cold tolerance at the plumule and seedling stages. A total of 4 QTLs for plumule-stage cold tolerance and 9 QTLs for seedling-stage cold tolerance were detected, with the maximum limit of detection reaching 5.20. Notably, a genetically overlapping QTL for both plumule and seedling stages was identified on chromosome 8, spanning a physical interval of 24 432 953-25 295 129 bp. Candidate genes within the detected QTL intervals were screened, and quantitative real-time polymerase chain reaction (qRT-PCR) was conducted to analyze the gene expression during the plumule and seedling stages. The results revealed that LOC_Os03g06570, LOC_Os03g07100, LOC_Os06g08280, LOC_Os08g38440, LOC_Os08g39100, and LOC_Os08g39540 exhibited significantly differential expression between the parental lines. These genes were either significantly downregulated or upregulated under cold stress. Among them, the first three gene (LOC_Os03g06570, LOC_Os03g07100, and LOC_Os06g08280) were hypothesized to be key candidates regulating the cold tolerance of rice seedlings, while the latter three genes (LOC_Os08g38440, LOC_Os08g39100, and LOC_Os08g39540) were identified as comprehensive regulators of cold tolerance during both plumule and seedling stages. These findings lay a foundation for the fine mapping and cloning of cold tolerance genes at the plumule and seedling stages, providing valuable insights for breeding cold-tolerant rice varieties.
Quantitative Trait Loci/genetics* ; Oryza/growth & development* ; Seedlings/growth & development* ; Cold Temperature ; Chromosome Mapping ; Gene Expression Regulation, Plant

Objective To analyze the correlations between the thoracic electrical impedance tomography(EIT)-derived parameters global inhomogeneity(GI),center of ventilation(COV),regional ventilation delay(RVD),and atelectasis in hospitalized patients,and to explore their effectiveness in evaluating atelectasis.Methods The clinical data of 140 hospitalized patients monitored by thoracic EIT between Sep.2024 and Jan.2025 were retrospectively analyzed.Patients were assigned to 2 groups based on chest computed tomography confirmation of atelectasis within the preceding short-term period during EIT monitoring:non-atelectasis group or atelectasis group.The algorithm software designed with MATLAB was used to acquire GI and COV.RVD was obtained through analysis with the Dr?ger EIT Data Analysis Tool 6.3 software,and patients'general data were concurrently documented.Comparative analysis of EIT-derived parameters between groups was conducted.Multivariate logistic regression analysis was employed to investigate the correlations of GI,COV,and RVD with atelectasis,while receiver operating characteristic curve analysis was performed to assess the efficacy of EIT-derived parameters in evaluating atelectasis.Results A total of 140 patients were enrolled,with 19(13.6%)cases presenting atelectasis.Compared to the non-atelectasis group,the atelectasis group demonstrated significantly higher proportions of male patients and cardiovascular disease and thoracic surgery(non-pulmonary)histories,lower body mass index(BMI),and alongside elevated GI and RVD values with reduced COV(all P＜0.05).Multivariate logistic regression analysis revealed that GI,COV,and RVD maintained independent associations with atelectasis after adjusting for age,gender,BMI,pleural effusion,and emphysema(odds ratio[OR]=1.39,95%confidence interval[CI]1.20-1.67;OR=0.85,95%CI 0.75-0.96;OR=1.22,95%CI 1.09-1.39;all P＜0.05).The area under curve(AUC)values of GI,COV,and RVD for evaluating atelectasis in hospitalized patients were 0.82,0.80,and 0.82,respectively(while RVD demonstrated a higher AUC,its clinical applicability was influenced by respiratory patterns).Conclusion Thoracic EIT-derived parameters GI and COV demonstrate significant correlations with atelectasis and may serve as valuable indicators for evaluating atelectasis in hospitalized patients.

Diabetic kidney disease(DKD),a prevalent complication of diabetes mellitus,remains a leading cause of end-stage renal disease.Recent research has identified lipophagy,a novel mechanism in DKD pathogenesis,drawing increasing attention in the field.This paper explores the biological connotation of the"internal heat leading to Zheng"pathogenesis based on lipophagy.The study proposes that lipophagy represents the microscopic biological correlation of liver-spleen coordination in regulating spleen transport and the ascending-descending dynamics of the middle jiao.Under persistent hyperglycemia,the suppression of lipophagic activity mirrors the traditional Chinese medicine(TCM)pathophysiological process described as"excessive fire consuming healthy qi,"whereas aberrant lipid accumulation in the kidney corresponds to the dynamic aggregation and dispersion of micro-zhengjia.Lipotoxicity,a key driver of DKD progression,is interpreted as the biological manifestation of accumulated turbidity transforming into toxicity,resulting in progressive impairment of renal essence and function.The dynamic process of lipophagy dysfunction under hyperglycemia,marked by renal microangiopathy,glomerular and tubular dysfunction,and renal fibrosis,closely mirrors the pathological evolution of"micro-zhengjia"and"internal heat leading to Zheng."Consequently,TCM strategies for DKD prevention and treatment should emphasize heat regulation,stage-specific interventions,liver-spleen harmonization,metabolic modulation,early collateral protection,and blood-activating approaches.

Objective To comparatively observe the value of different machine learning(ML)models for predicting cervical lymph node metastasis(CLNM)of papillary thyroid carcinoma(PTC).Methods Totally 207 patients with pathologically diagnosed PTC were enrolled and divided into metastasis group(n=103)and non-metastasis group(n=104)according to lymph nodes pathology findings after surgical resection,also divided into training set(n=144)and validation set(n=63)with a ratio of 7∶3.Random forest(RF),decision tree(DT),K-nearest neighbor(KNN),logistic regression(LR)and support vector machine(SVM)models were constructed through combining clinical information and ultrasonic manifestations of lymph nodes.Receiver operating characteristic curves were drawn,and the areas under the curve(AUC)were calculated to evaluate the efficacy of these ML models for predicting PTC CLNM.Results Patients'age,transverse diameter/longitudinal diameter ratio of lymph node≥0.5,lymph nodes with cystic change,microcalcification,disappearance of lymphatic gate,hypoechoic mass and unclear border were all impact factors of PTC CLNM,among which microcalcification had the highest contribution to the models.In training set,AUC of DT and RF models were both 0.987,with accuracy reached 93.06%.In validation set,AUC of DT and RF models was 0.817 and 0.895,respectively,all higher than those of other models.The accuracy,specificity and positive predictive value of RF model in validation set was 84.13%,93.10%and 92.86%,respectively,and RF model was the best one among all 5 ML models.Conclusion Among different ML models,RF model was the best one for predicting PTC CLNM.

Objective Exploring the clinical efficacy of using autologous rib cartilage grafting to reconstruct finger hemiarticular defects.Methods From August 2022 to February 2024,for 6 patients with hemiarticular surface defects in the metacarpophalangeal joints and interphalangeal joints of 8 fingers,costal cartilage was used for joint remodeling and transplantation to reconstruct the hemiarticular surface defects of the fingers.All 8 joint transplants in 6 patients were two-stage surgeries.In the first stage,antibiotic bone cement was used to fill the space-occupying lesions,and in the second stage,costal cartilage joint remodeling was performed to reconstruct the finger joint defects.Postoperative follow-up and assessment of fracture healing according to Paley fracture healing scoring criteria.Outpatient and WeChat follow-up,upper limb function is evaluated according to the upper limb functional assessment standards of the Chinese Medical Association Hand Surgery Society.Record VAS pain score.Results In this group,there were a total of 6 patients with 8 cases of hemiarticular defects.Among them,2 patients had two joint surgical sites,while the remaining 4 patients had a single joint surgical site.There were 2 cases of metacarpophalangeal joint head defects,2 cases of proximal articular surface defects,3 cases of proximal articular head defects,and 1 case of thumb proximal articular head defect.After surgery,8 out of 6 patients'hand wounds healed successfully.All patients were followed up for 6-12 months postoperatively,with an average of 9 months.The VAS pain score(affected finger)for the last follow-up was 0-2 points,with an average of 0.6 points.According to Paley's scoring criteria,all 6 patients had excellent fracture healing.According to the evaluation criteria for upper limb functional assessment of the Chinese Medical Association Hand Surgery Society,3 cases were rated as excellent,3 cases were rated as good,and 2 cases were rated as fair.Conclusion For patients with half joint defects on one side of the finger,rib rib cartilage was used for joint reconstruction,which significantly improved the joint shape and function at the defect site,and reduced joint pain scores.

Physiologically based pharmacokinet-ics(PBPK)model is a tool to simulate the process of drug absorption,distribution,metabolism and excretion in vivo.It is widely used in drug research and regulation.In the bioequivalence evaluation of generic drug consistency evaluation and drug pro-duction process change,the PBPK model can pro-vide a certain reference and theoretical support for the drug bioequivalence,thereby promoting safer and more economic drug clinical trials.In this pa-per,the application progress of PBPK model in bio-equivalence study will be reviewed in order to pro-vide support for clinical research on drugs in China.

Objective To comparatively observe the value of different machine learning(ML)models for predicting cervical lymph node metastasis(CLNM)of papillary thyroid carcinoma(PTC).Methods Totally 207 patients with pathologically diagnosed PTC were enrolled and divided into metastasis group(n=103)and non-metastasis group(n=104)according to lymph nodes pathology findings after surgical resection,also divided into training set(n=144)and validation set(n=63)with a ratio of 7∶3.Random forest(RF),decision tree(DT),K-nearest neighbor(KNN),logistic regression(LR)and support vector machine(SVM)models were constructed through combining clinical information and ultrasonic manifestations of lymph nodes.Receiver operating characteristic curves were drawn,and the areas under the curve(AUC)were calculated to evaluate the efficacy of these ML models for predicting PTC CLNM.Results Patients'age,transverse diameter/longitudinal diameter ratio of lymph node≥0.5,lymph nodes with cystic change,microcalcification,disappearance of lymphatic gate,hypoechoic mass and unclear border were all impact factors of PTC CLNM,among which microcalcification had the highest contribution to the models.In training set,AUC of DT and RF models were both 0.987,with accuracy reached 93.06%.In validation set,AUC of DT and RF models was 0.817 and 0.895,respectively,all higher than those of other models.The accuracy,specificity and positive predictive value of RF model in validation set was 84.13%,93.10%and 92.86%,respectively,and RF model was the best one among all 5 ML models.Conclusion Among different ML models,RF model was the best one for predicting PTC CLNM.

Diabetic kidney disease(DKD),a prevalent complication of diabetes mellitus,remains a leading cause of end-stage renal disease.Recent research has identified lipophagy,a novel mechanism in DKD pathogenesis,drawing increasing attention in the field.This paper explores the biological connotation of the"internal heat leading to Zheng"pathogenesis based on lipophagy.The study proposes that lipophagy represents the microscopic biological correlation of liver-spleen coordination in regulating spleen transport and the ascending-descending dynamics of the middle jiao.Under persistent hyperglycemia,the suppression of lipophagic activity mirrors the traditional Chinese medicine(TCM)pathophysiological process described as"excessive fire consuming healthy qi,"whereas aberrant lipid accumulation in the kidney corresponds to the dynamic aggregation and dispersion of micro-zhengjia.Lipotoxicity,a key driver of DKD progression,is interpreted as the biological manifestation of accumulated turbidity transforming into toxicity,resulting in progressive impairment of renal essence and function.The dynamic process of lipophagy dysfunction under hyperglycemia,marked by renal microangiopathy,glomerular and tubular dysfunction,and renal fibrosis,closely mirrors the pathological evolution of"micro-zhengjia"and"internal heat leading to Zheng."Consequently,TCM strategies for DKD prevention and treatment should emphasize heat regulation,stage-specific interventions,liver-spleen harmonization,metabolic modulation,early collateral protection,and blood-activating approaches.