ObjectiveTo decipher the mechanism by which Zuoguiwan （ZGW） treat hyperthyroidism in rats with kidney-Yin deficiency based on the dopamine receptor D4 （DRD4）/nicotinamide adenine dinucleotide phosphate （NADPH） oxidase 4 （NOX4） signaling pathway. MethodsThe rat model of kidney-Yin deficiency was induced by unilateral intramuscular injection of dexamethasone （0.35 mg·kg^-1）. After successful modeling， the rats were randomized into model， methimazole （positive control， 5 mg·kg^-1）， low-， medium-， and high-dose （1.85， 3.70， 7.40 g·kg^-1， respectively） ZGW， and normal control groups. After 21 days of continuous gavage， the behavioral indexes and body weight changes of rats were evaluated. The pathological changes of the renal tissue were observed by hematoxylin-eosin staining. The serum levels of thyroid hormones ［triiodothyronine （T₃）， thyroxine （T₄）， thyroid-stimulating hormone （TSH）］， renal function indexes ［serum creatine （Scr） and blood urea nitrogen （BUN）］， energy metabolism markers ［cyclic adenosine monophosphate （cAMP） and cyclic guanosine monophosphate （cGMP）］， and oxidative stress-related factors ［superoxide dismutase （SOD）， malondialdehyde （MDA）， and NADPH）］ were measured by enzyme-linked immunosorbent assay （ELISA）. Western blot was employed to analyze the expression of DRD4， NOX4， mitochondrial respiratory chain complex proteins ［NADH：ubiquinone oxidoreductase subunit S4 （NDUFS4） and cytochrome C oxidase subunit 4 （COX4）］， and inflammation-related protein ［tumor necrosis factor-alpha （TNF-α）， interleukin-6 （IL-6）， p38 mitogen-activated protein kinase （MAPK）］ pathway in the renal tissue. ResultsCompared with the normal group， the model group showed mental malaise， body weight decreases （P<0.01）， inflammatory cell infiltration in the renal tissue， a few residual parotid glands in the thyroid， elevations in serum levels of T₃， T₄， Scr， BUN， cAMP， cAMP/cGMP， MDA， and NADPH （P<0.01）， down-regulation in protein levels of TSH， SOD， and DRD4 （P<0.05， P<0.01）， and up-regulation in expression of NOX4， p-p38 MAPK/p38 MAPK， and inflammatory factors （P<0.01）. Compared with the model group， ZGW increased the body weight （P<0.05， P<0.01）， reduced the infiltration of renal interstitial inflammatory cells， restored the thyroid structure and follicle size， lowered the serum levels of T₃， T₄， Scr， BUN， cAMP， cAMP/cGMP， MDA and NADPH （P<0.05， P<0.01）， up-regulated the expression of TSH， SOD and DRD4 （P<0.05， P<0.01）， and down-regulated the expression of NOX4， p-p38 MAPK/p38 MAPK， and inflammatory factors （P<0.05， P<0.01）. Moreover， high-dose ZGW outperformed methimazole （P<0.05）. ConclusionBy activating DRD4， ZGW can inhibit the expression of NOX4 mediated by the p38 MAPK pathway， reduce oxidative stress and inflammatory response， thereby ameliorating the pathological state of hyperthyroidism due to kidney-Yin deficiency. This study provides new molecular mechanism support for the clinical application of ZGW.

[摘 要] 目的：探讨干扰素刺激基因家族成员黏病毒抵抗蛋白2（MX2）在调控肿瘤细胞对呼肠孤病毒（Reo）溶瘤敏感性中的作用及其机制。方法：选取4株具有不同耐药特征的人源肿瘤细胞，通过CCK-8法评估其对Reo的溶瘤敏感性；通过转录组测序筛选出差异表达基因MX2，qPCR法及WB法验证MX2在4株人源肿瘤细胞中的表达；使用siRNA敲低溶瘤低敏感的COC1/DDP细胞中的MX2基因。在细胞感染Reo病毒后，通过CCK-8法检测细胞存活率；qPCR法检测细胞中Reo病毒S1基因表达；免疫荧光法检测细胞内Reo病毒蛋白的积累；半数组织培养感染剂量（TCID50）法测定病毒滴度；流式细胞术分别检测细胞内Reo病毒dsRNA、活性氧（ROS）水平以及细胞凋亡率；透射电镜观察细胞内质网形态变化并采用WB法检测内质网应激相关蛋白（JNK、p-JNK、eIF2α、p-eIF2α、CHOP、PERK）的表达。结果：在4株肿瘤细胞中，SKOV3细胞对Reo溶瘤作用高度敏感，而COC1/DDP、HuH-7SRB及SNU-398细胞均为溶瘤低敏感性。转录组测序结果显示，MX2在溶瘤低敏感肿瘤细胞中的表达水平显著高于溶瘤高敏感细胞（P < 0.01）；在溶瘤低敏感性的COC1/DDP细胞中，敲低MX2显著促进Reo病毒复制、诱导细胞凋亡增加，并升高细胞内活性氧水平（均P < 0.001）。透射电镜观察显示，敲低MX2的COC1/DDP细胞感染Reo病毒后出现内质网肿胀、扩张及断裂等典型内质网应激超微结构改变。WB结果显示，内质网应激关键标志物eIF2α/p-eIF2α、PERK、CHOP及凋亡相关调节蛋白JNK/p-JNK的表达均显著上调（P < 0.05或P < 0.01）。结论：肿瘤细胞对Reo的溶瘤敏感性与其细胞内MX2表达水平密切相关。敲低MX2可显著增强Reo在细胞内的复制，进而促进ROS积累，触发内质网应激并促进凋亡。病毒复制增加与细胞凋亡激活的双重作用，最终协同增强Reo的溶瘤作用。

[摘 要] 目的：探讨核仁小RNA（snoRNA）71A通过TLR3/PD-L1通路对食管鳞状细胞癌（ESCC）细胞增殖、迁移及侵袭能力的影响。方法：qPCR检测52例ESCC患者的配对肿瘤组织、癌旁组织，以及人ESCC细胞中SNORA71A的表达情况。将反义寡核苷酸（SNORA71A-ASO-29、SNORA71A-ASO-102和NC-ASO）或小干扰RNA（siTLR3、siTLR3-NC）分别转染至人ESCC TE-1细胞，分别记为SNORA71A-ASO1组、SNORA71A-ASO2组、NC-ASO组及siTLR3组、siNC组。另外将过表达质粒pcDNA3.1-SNORA71A和pcDNA3.1空载体质粒分别转染至TE-1细胞，分别记为SNORA71A组和Vector组。细胞功能学实验（MTS实验、划痕愈合实验，以及Transwell侵袭实验）评估各组细胞在敲低或过表达SNORA71A后增殖、迁移和侵袭能力的变化。高通量转录组测序筛选SNORA71A下游作用靶基因，基因本体论（GO）和京都基因与基因组百科全书（KEGG）功能富集分析预测SNORA71A下游作用靶基因可能参与的生物学过程和信号通路。qPCR检测测序筛选出的下游作用靶基因TLR3在ESCC组织以及细胞中的表达。同时，qPCR和WB检测TE-1细胞在敲低或过表达TLR3后PD-L1 mRNA和蛋白质表达变化。细胞功能学实验检测TLR3敲低对SNORA71A所促进的TE-1细胞恶性生物行为（增殖、迁移、侵袭）的影响。结果：在52例ESCC患者的肿瘤组织以及ESCC细胞中SNORA71A表达均呈高水平（P < 0.01或P < 0.05）。敲低SNORA71A抑制TE-1细胞增殖、迁移和侵袭（P < 0.01或P < 0.05），过表达SNORA71A则促进TE-1细胞增殖、迁移和侵袭（P < 0.01或P < 0.05）。高通量转录组测序筛选到TLR3为SNORA71A下游作用靶基因。TLR3在ESCC组织以及TE-1细胞中呈低表达（P < 0.01或P < 0.05）。TLR3正向调控PD-L1 mRNA和蛋白质表达（P < 0.01或P < 0.05）。细胞功能学实验中，TLR3可以部分削弱SNORA71A对PD-L1表达的调控（P < 0.01）。结论：SNORA71A通过调控TLR3/PD-L1通路调节TE-1细胞增殖、迁移和侵袭。

The therapeutic effect of human umbilical cord mesenchymal stem cells (hUCMSCs) combined with intestinal probiotics on the wound healing of diabetic mice and its potential mechanism were explored. A diabetic wound mouse model was established, and 25 male C57BL/6J mice were randomly divided into five groups: blank control group, model group, hUCMSCs treatment group, probiotics treatment group, and hUCMSCs combined with probiotics treatment group. The wound healing conditions were photographed and recorded on days 0, 3, 6, 9, and 12 after modeling, and the differences in wound healing rates among the groups were analyzed. HE and Masson staining were used to observe the histopathological changes and collagen deposition. CD31 immunofluorescence was used to detect angiogenesis. Collagen I immunohistochemistry was used to evaluate the formation of type I collagen. ELISA was used to detect the expression levels of anti-inflammatory factors (Arg1) and pro-inflammatory factors (IL-6, IL-1β, TNF-α) in wounded skin tissue and serum. The results showed that on day 12 after modeling, compared with the other groups, the combined treatment group had the most significant wound contraction and the fastest healing rate. HE and Masson staining showed that the combined treatment group had the fastest epithelialization and the most collagen deposition. Immunofluorescence and immunohistochemistry showed that the combined treatment group had the highest expression levels of CD31 and Collagen I. ELISA results indicated that the combined treatment group had higher expression levels of Arg1 in wound skin tissue and serum than the other groups, while the expression levels of IL-6, IL-1β, and TNF-α were significantly lower. These results suggest that the combined treatment of hUCMSCs and intestinal probiotics can accelerate wound healing in diabetic mice through mechanisms such as promoting angiogenesis, enhancing collagen deposition, and regulating the inflammatory microenvironment. The therapeutic effect was significantly better than that of single treatment, providing a new potential strategy for the clinical treatment of diabetic foot.

Background Occupational health places often involve complex dust samples characterized by diverse compositions and a lack of prior supplementary information. These factors pose challengs in ascertaining crystal phase composition, creating a hurdle for both crystallographic screening and subsequent precise quantification. Hence, establishing a systematic, non-targeted crystal phase screening strategy is essential for analyzing complex occupational dust samples lacking background data. Objective To develop a non-targeted crystal phase screening strategy and a corresponding evaluation mechanism for complex occupational dust, by leveraging various non-destructive spectroscopy techniques and automated full-spectrum fitting, aiming to establish a technical foundation for phases identification and standardless quantification in samples with unknown backgrounds. Methods An extensible and non-targeted screening strategy and a dual-verification mechanism were formulated specifically for occupational health samples. The approach integrated energy dispersive X-ray fluorescence spectroscopy (EDXRF), Fourier-transform infrared (FTIR), and Raman spectroscopy to ensure accurate phase identification. To demonstrate applicability, a representative routine monitoring sample was analyzed. The strategy was validated based on the precision of Rietveld refinement results and the logical consistency of phase distribution within specific occupational settings. Furthermore, universality was tested across multiple industrial sectors prone to silica-related dust, including refractory material manufacturing, construction stone processing, and steel rolling. Results Utilizing high-precision X-ray diffraction (XRD) data from a representative complex dust sample, a comprehensive workflow comprising primary component identification, sequential phase screening, and gap-filling analysis successfully identified 13 highly correlated crystal phases, 11 of which exhibited strong industry relevance. Subsequent to these screening results, Rietveld full-spectrum fitting yielded a calculated pattern closely matching the experimental data, with a relatively flat residual line and high statistical reliability (R_wp=5.121%, R_exp=2.955%, and χ²=1.733). In universality tests across various industrial sites, all samples achieved R_wp < 20% and χ² <2. In addition, the quantitative phase distributions remained self-consistent and highly aligned with actual industrial processes and material positioning. Conclusion A crystal phase screening strategy combining multi-modal spectroscopic analysis with computer-aided full-spectrum fitting is successfully established. This method effectively identifies multiple crystalline substances in uninformed samples and achieves non-targeted screening of complex occupational dust samples. Validated through both numerical accuracy and phase distribution, the strategy provides a practical and robust methodological framework for analyzing complex occupational dust samples without background information.

Objective To explore the risk factors for mineral and bone disorder in maintenance hemodialysis patients, and to construct and validate a nomogram prediction model. Methods A total of 306 patients undergoing maintenance hemodialysis at Shanghai Eighth People’s Hospital from January 2021 to May 2025 were selected as study subjects and randomly divided into a training set (n＝214) and a validation set (n＝92) in a 7∶3 ratio. In the training set, patients were divided into a normal bone mineral metabolism group and an abnormal bone mineral metabolism group, and related factors were compared between the two groups. The multivariate logistic regression analysis was used to identify the influencing factors of mineral and bone disorder in maintenance hemodialysis patients in the training set, and a nomogram prediction model was constructed. ROC curves were drawn to evaluate the ability of the nomogram model for predicting mineral and bone disorder in these patients. Calibration curves and Hosmer-Lemeshow goodness-of-fit test were used to analyze the consistency of the predictive probability of nomogram model and actual probability of mineral and bone disorder in these patients. The decision curve was used to assess the clinical benefit using nomogram prediction model. Results Among the 306 hemodialysis patients, 254 patients had mineral and bone disorder, accounting for 83.01%. Among the 214 patients in the training set, 177 had mineral and bone disorder, accounting for 82.71%. In the training set, age, gender, body mass index (BMI), hypertension rate, dialysis age, blood urea nitrogen (BUN), hemoglobin (Hb), albumin (ALB), alkaline phosphatase (ALP), serum creatinine (SCr), uric acid (UA), estimated glomerular filtration rate (eGFR), and rate of taking phosphate binders were statistically significant different between the two groups (P＜0.05). The multivariate logistic regression analysis showed higher age, female, hypertension, longer dialysis duration, decreased eGFR, and not taking phosphate binders were identified as risk factors for mineral and bone disorder in maintenance hemodialysis patients (P＜0.01). The nomogram prediction model was constructed. The area under the ROC curve of the model for mineral and bone disorder in the training set and validation set was 0.895 (95%CI 0.850-0.941) and 0.881 (95%CI 0.830-0.932), respectively, with maximum Youden indice of 0.650 and 0.600, sensitivity of 0.856 and 0.849, and specificity of 0.794 and 0.751. The Hosmer-Lemeshow test showed the nomogram prediction model had good consistency in predictive probabilities with actual probabilities in training set and validation set. The decision curve showed the nomogram model could bring clinical net benefits when the threshold probabilities in the training set and validation set were less than 0.96 and 0.91. Conclusions The nomogram prediction model constructed based on six independent risk factors including age, gender, hypertension, dialysis duration, eGFR, and using phosphate binders or not, shows good discrimination and calibration, with good clinical predictive ability, which could provide guidance for the management of maintenance hemodialysis patients.

Objective To construct a lung cancer surgery-oriented disease-specific database covering the entire perioperative care pathway, thereby improving the quality and usability of key surgical data elements. Methods Real-world clinical data were extracted from a single-center thoracic surgery department. A standardized data model was established based on the open electronic health record (openEHR) standard. Large language model (LLM), optical character recognition (OCR), and artificial intelligence (AI)-driven techniques were employed to extract, structure, and perform quality control on unstructured clinical narratives, imaging reports, and radiological data, with a focus on capturing surgically relevant perioperative indicator. Results A multimodal database comprising 19 917 patients was established, including 7 930 males and 11 987 females, with ages ranging from 15 to 97 (61.7±9.7) years. The database includes 582 structured data variables, textual report data corresponding to 69 clinical indicators, 13 000 pulmonary function test PDF reports, and chest CT imaging data from 16 884 patients. This database comprehensively covers major information relevant to surgical diagnosis and treatment of lung cancer, significantly improving the completeness and granularity of surgical detail data. Large language models (LLMs) and optical character recognition (OCR) technologies enhanced the efficiency of converting unstructured data into structured formats, while a multi-level manual verification process ensured data accuracy and traceability. The database supports real-world research including comparisons of surgical procedures, prediction of postoperative complications, prognosis assessment, and multimodal data association analyses.

This paper summarized the clinical experience in treating ischemic stroke with jiao （角） medicine （triple-medicinal combinations）. Clinically， the combination of Roucongrong （Cistanche deserticola）-Shanyurou （Cornus officinalis）-Guijia （Testudinis Carapax et Plastrum） is used to nourish the kidneys and liver for disease mechanism of liver-kidney depletion， and foundation deficiency due to insufficient essence and blood； the combination of Xixiancao （Sigesbeckia orientalis）-Tianma （Gastrodia elata）-Gouteng （Uncaria rhynchophylla） is used to extinguish wind and eliminate dampness for treating numbness and swelling of limbs caused by ischemic stroke； the combination of Shichangpu （Acorus Tatarinowii）-Yuanzhi （Polygala tenuifolia）-Yujin （Curcumae Radix） is used to improve intelligence， refresh the brain， and clear the mind for treating cognitive impairment， memory loss， or speech difficulties caused by ischemic stroke； the combination of Banxia （Pinellia ternata）-Baizhu （Atractylodes macrocephala）- Tianma （Gastrodiae rhizoma） is used to dissolve phlegm and extinguish wind， unblock meridians and relieve dizziness for treating dizziness or headache caused by ischemic stroke； the combination of Danggui （Angelica sinensis radix）- Chuanxiong （Ligusticum chuanxiong）-Guijianyu （Euonymus alatus） is used to nourish and activate blood circulation， remove blood stasis and unblock meridians for treating weak limbs and activiry difficulty caused by ischemic stroke； the combination of Chaihu （Bupleurum chinense）-Zhiziz （Gardenia jasminoides）-Guanye Jinsitao （Hypericum perforatum） is used to soothe the liver and resolve constraint， cool the blood and calm the mind for treating emotional complications.

Objective To optimize the process conditions and analyze the components of alkaloids from Zanthoxylum bungeanum Maxim（Z. bungeanum）using macroporous resin. Methods Combining single factor tests and orthogonal tests, the content of hydroxy-α-sanshool（HAS）and hydroxy-β-sanshool（HBS）were considered as indexes to determine the best process parameters. Ultra-performance liquid chromatography-quadrupole tandem time-of-flight mass spectrometry（UPLC-Q-TOF-MS^E）was used to identify the structures of alkaloids. Results The optimal conditions were Mitsubishi HP-20 macroporous resin, the loading solution concentration was 0.2 g crude drug/ml, the ratio of crude drug to resin volume was 1 g∶2.5 ml, the diameter/height ratio of resin column was 1∶7, the dynamic adsorption flow rate was 4 times of bed volume（BV）per hour, and the adsorption time was 1 h. Impurities were removed by using 2 BV of 20% ethanol, 5 BV of 80% ethanol was used to elution, and the content of HAS and HBS was 4.71% and 1.02%, respectively. A total of 20 alkaloids were identified from Z. bungeanum. Conclusion This method was stable and feasible, obtaining high purity and various kinds of alkaloids, which could be used for the enrichment and purification of alkaloids from Z. bungeanum.

Objective To evaluate the efficacy of Puerariae lobatae radix （PLR） and Anemarrhenae Rhizoma （AR） in preventing and treating Alzheimer’s disease （AD） and explore its potential mechanism of action by LC-MS serum metabolomics strategy. Methods The AD rat model was established by administering aluminum chloride （AlCl₃） and D-galactose （D-gal） for 20 weeks. The traditional Chinese medicine intervention group was given the PLR, AR, and PLR-AR extracts for 8 weeks by gavage. The model effect and efficacy were evaluated by Morris water maze test and biochemical indicators including SOD, NO, and MDA; Metabolomics research based on the UHPLC-Q/TOF-MS method was conducted, and relevant metabolic pathways were analyzed through the MetaboAnalyst online website. Results The learning and memory abilities of AD model rats were significantly decreased compared with the control group, and the levels of oxidative stress and lipid peroxides were significantly increased （P<0.05）, while the SOD content was decreased considerably （P<0.01）. The learning and memory abilities of AD model rats were improved, oxidative stress and lipid peroxidation levels were reversed, and serum SOD content was increased significantly after the intervention of PLR-AR, with better effects than single drugs. Through metabolomics, 70 differential metabolites were identified between the AD model group and the control group, mainly involving 10 pathways, including phenylalanine, tyrosine, and tryptophan biosynthesis, phenylalanine metabolism, and unsaturated fatty acid biosynthesis, et.al. The intervention of PLR-AR could adjust 47 metabolites, with 20 metabolites showing significant differences （P<0.05）. The significantly adjusted metabolites involve 6 pathways, including phenylalanine, tyrosine, and tryptophan biosynthesis, et al. Conclusion The combination of PLR and AR could significantly improve the learning and memory abilities of AD rat models. The mechanism may be related to the improvement of oxidative stress and lipid peroxidation levels, the increase of serum SOD content, and the regulation of phenylalanine, tyrosine, and tryptophan biosynthesis pathways.