Objective To analyze the influenza-like illness (ILI) data in Ordos City from 2017 to 2023 and conduct nucleic acid detection of the virus to understand the local influenza epidemic situation, and to provide a reliable basis for influenza prevention and control in the city. Methods Real-time quantitative polymerase chain reaction (qPCR) was used to identify virus subtypes in ILI throat swab samples. Comparisons of positive rates were conducted using the chi-square test, with a significance level of α=0.05. Results From 2017 to 2023, a total of 3,283,434 outpatient and emergency visits were recorded at the Ordos City Central Hospital, including 74,159 ILI cases, with an ILI proportion of 2.26%. The majority of ILI cases (74.43%) occurred in children aged 0~14 years old. The overall positive rate of influenza virus nucleic acid detection was 10.87%, with the highest proportion being subtype A (seasonal H3) at 43.03%. The highest detection rate was observed in the 5~14 years age group, with statistically significant differences in positive rates across age groups (χ²=155.638, P<0.001). Influenza peaks occurred mainly from November to March of the following year. From January to April, three types of influenza were prevalent alternately or mixed, while from October to December, subtype A (seasonal H3) predominated. Positive rates varied significantly across months (χ²=250.923, P<0.001). The temporal trends of ILI proportions and PCR-positive rates were consistent. Conclusion Influenza in Ordos City exhibits distinct seasonal and age distribution characteristics, with alternating or mixed circulation of three virus types. Continued efforts are needed to strengthen influenza surveillance, especially the prevention and control of influenza in infants and adolescents.

Implementation science (IS) aims to systematically analyze and address the real-world gaps from evidence to practice and the influencing factors of the context. It is necessary to carry out qualitative research to gather relevant implementation outcomes. Nevertheless, traditional qualitative analysis has issues such as consuming a great deal of time and energy, and it is unable to promptly provide the crucial data required for implementation science research. The Rapid Qualitative Analysis (RQA) method, through semi-structured interviews and the adoption of techniques such as immediate data condensation and matrix analysis, can effectively shorten the cycle of qualitative data collection and data processing. RQA can promptly identify social determinants of health such as structural barriers, facilitators, and the behavioral characteristics of target groups. It provides a real-time basis for public health decision-making, the interpretation of complex social phenomena, and the process and effectiveness evaluation of research projects. Although RQA is difficult to conduct in-depth theoretical analysis based on grounded theory, its efficiency and flexibility make it the preferred tool for large-scale and time-sensitive research. Thus, it has been widely applied in implementation science research. This paper sorts out the core concepts and commonly used technical methods of RQA, as well as the differences between RQA and traditional qualitative analysis. It also explores the applications of RQA in intervention optimization, process evaluation, and implementation outcome evaluation. By integrating specific cases, this paper clarifies its application value in the field of implementation science. In the future, it is advisable to explore the integration of RQA with technologies such as artificial intelligence and big data, in order to bridge the gap between the transformation of scientific research achievements into practice. Under circumstances of limited resources or tight time constraints, RQA can be used to efficiently conduct implementation science research, providing convenient and scientific methodological and technical support for accelerating evidence-based practice.

ObjectiveTo investigate the effects of Qizhujianwei granules （QZJW） on abnormal proliferation and malignant transformation of gastric mucosal cells in rats with gastric intraepithelial neoplasia （GIN） and to explore the related mechanisms. MethodsA total of 80 SPF male Wistar rats were used. A GIN rat model was established using a four-factor comprehensive method consisting of methylnitronitrosoguanidine （MNNG）， ranitidine， irregular feeding patterns， and sodium salicylate. Except for the normal group， after successful modeling， the rats were randomly divided according to body weight into a model group， a Moluodan group （0.55 g·kg^-1）， and a QZJW group （7.34 g·kg^-1）， with 12 rats in each group. All groups were treated for 8 weeks. The general characteristics of the rats and morphological changes of the gastric mucosa were observed. Histopathological changes of the gastric mucosa were examined by hematoxylin-eosin （HE） staining. Enzyme-linked immunosorbent assay （ELISA） was used to detect serum levels of pepsinogenⅠ （PGⅠ）， pepsinogenⅡ （PGⅡ）， and gastrin （G-17）， as well as the expression level of transforming growth factor-β₁ （TGF-β₁） in gastric mucosal tissue， and the PGⅠ/PGⅡ ratio was calculated. Immunohistochemistry （IHC） was used to detect the localization and expression levels of proliferating cell nuclear antigen （Ki-67） and Vimentin in gastric mucosal tissue. Western blot analysis was used to determine the protein expression levels of Wnt family member 3A （Wnt3a）， β-catenin， CyclinD₁， proto-oncogene Cmyc， transforming growth factor-β receptor Ⅰ （TGFβRⅠ）， intracellular signaling transducers Smad2/3， phosphorylated （p）-Smad2/3， twist family transcription factor （Twist1）， and Vimentin in gastric mucosal tissue. ResultsCompared with the normal group， the model group showed characteristic changes including dim eyes， pale ears and claws， dark-red tongue， and reduced luster of the tail. The gastric mucosa appeared pale， with surface congestion and erosion. The gastric mucosal glands were disordered， the nuclear-to-cytoplasmic ratio increased， and local tumor cells were observed. Serum PGⅠ and PGⅡ levels and the PGⅠ/PGⅡ ratio were significantly decreased （P<0.01）， while the level of G-17 was significantly increased （P<0.01）. The protein expression levels of Ki-67， Wnt3a， β-catenin， CyclinD₁， Cmyc， TGF-β₁， TGFβRⅠ， Smad2/3， Twist1， and Vimentin in gastric mucosal tissue were significantly increased （P<0.05， P<0.01）， whereas the ratio of p-Smad2/3 to Smad2/3 was significantly decreased （P<0.05）. Compared with the model group， the general characteristics and gastric mucosal conditions of rats in the Moluodan group and the QZJW group were improved. HE staining showed that QZJW could effectively block the malignant progression of GIN. Serum PGⅠ and PGⅡ levels and the PGⅠ/PGⅡ ratio were significantly increased （P<0.05， P<0.01）， while the level of G-17 was significantly decreased （P<0.01）. The protein expression levels of Ki-67， Wnt3a， β-catenin， CyclinD₁， Cmyc， TGF-β₁， TGFβRⅠ， Smad2/3， Twist1， and Vimentin in gastric mucosal tissue were significantly decreased （P<0.05， P<0.01）. ConclusionQZJW have a therapeutic effect on rats with GIN. The mechanism may involve inhibition of the Wnt/β-catenin signaling pathway to regulate the cell cycle and suppress abnormal cell proliferation. Meanwhile， it may inhibit epithelial-mesenchymal transition by suppressing the TGF-β₁/Smad/Twist1 signaling pathway， thereby blocking the malignant progression of GIN.

ObjectiveTo investigate the effects of Qizhujianwei granules （QZJW） on abnormal proliferation and malignant transformation of gastric mucosal cells in rats with gastric intraepithelial neoplasia （GIN） and to explore the related mechanisms. MethodsA total of 80 SPF male Wistar rats were used. A GIN rat model was established using a four-factor comprehensive method consisting of methylnitronitrosoguanidine （MNNG）， ranitidine， irregular feeding patterns， and sodium salicylate. Except for the normal group， after successful modeling， the rats were randomly divided according to body weight into a model group， a Moluodan group （0.55 g·kg^-1）， and a QZJW group （7.34 g·kg^-1）， with 12 rats in each group. All groups were treated for 8 weeks. The general characteristics of the rats and morphological changes of the gastric mucosa were observed. Histopathological changes of the gastric mucosa were examined by hematoxylin-eosin （HE） staining. Enzyme-linked immunosorbent assay （ELISA） was used to detect serum levels of pepsinogenⅠ （PGⅠ）， pepsinogenⅡ （PGⅡ）， and gastrin （G-17）， as well as the expression level of transforming growth factor-β₁ （TGF-β₁） in gastric mucosal tissue， and the PGⅠ/PGⅡ ratio was calculated. Immunohistochemistry （IHC） was used to detect the localization and expression levels of proliferating cell nuclear antigen （Ki-67） and Vimentin in gastric mucosal tissue. Western blot analysis was used to determine the protein expression levels of Wnt family member 3A （Wnt3a）， β-catenin， CyclinD₁， proto-oncogene Cmyc， transforming growth factor-β receptor Ⅰ （TGFβRⅠ）， intracellular signaling transducers Smad2/3， phosphorylated （p）-Smad2/3， twist family transcription factor （Twist1）， and Vimentin in gastric mucosal tissue. ResultsCompared with the normal group， the model group showed characteristic changes including dim eyes， pale ears and claws， dark-red tongue， and reduced luster of the tail. The gastric mucosa appeared pale， with surface congestion and erosion. The gastric mucosal glands were disordered， the nuclear-to-cytoplasmic ratio increased， and local tumor cells were observed. Serum PGⅠ and PGⅡ levels and the PGⅠ/PGⅡ ratio were significantly decreased （P<0.01）， while the level of G-17 was significantly increased （P<0.01）. The protein expression levels of Ki-67， Wnt3a， β-catenin， CyclinD₁， Cmyc， TGF-β₁， TGFβRⅠ， Smad2/3， Twist1， and Vimentin in gastric mucosal tissue were significantly increased （P<0.05， P<0.01）， whereas the ratio of p-Smad2/3 to Smad2/3 was significantly decreased （P<0.05）. Compared with the model group， the general characteristics and gastric mucosal conditions of rats in the Moluodan group and the QZJW group were improved. HE staining showed that QZJW could effectively block the malignant progression of GIN. Serum PGⅠ and PGⅡ levels and the PGⅠ/PGⅡ ratio were significantly increased （P<0.05， P<0.01）， while the level of G-17 was significantly decreased （P<0.01）. The protein expression levels of Ki-67， Wnt3a， β-catenin， CyclinD₁， Cmyc， TGF-β₁， TGFβRⅠ， Smad2/3， Twist1， and Vimentin in gastric mucosal tissue were significantly decreased （P<0.05， P<0.01）. ConclusionQZJW have a therapeutic effect on rats with GIN. The mechanism may involve inhibition of the Wnt/β-catenin signaling pathway to regulate the cell cycle and suppress abnormal cell proliferation. Meanwhile， it may inhibit epithelial-mesenchymal transition by suppressing the TGF-β₁/Smad/Twist1 signaling pathway， thereby blocking the malignant progression of GIN.

[摘 要] 目的：探讨异位表达血红蛋白亚基（HBA/HBB）对缺氧条件下嵌合抗原受体T细胞（CAR-T细胞）功能障碍的改善作用及其对肿瘤细胞的杀伤效应。方法：全基因合成技术合成靶向HER2的CAR序列，构建共表达HBA或HBB的CAR慢病毒载体，包装慢病毒后感染人原代T淋巴细胞，制备异位表达HBA/HBB的CAR-T细胞，命名为HBA CAR-T和HBB CAR-T。采用缺氧探针检测小鼠实体瘤缺氧状态。通过流式细胞术检测瘤内CAR-T细胞占比、异位表达血红蛋白亚基的CAR-T细胞阳性率及CAR-T细胞的活性氧、凋亡水平。WB法检测HBA CAR-T和HBB CAR-T内相关血红蛋白亚基表达情况，采用细胞计数板计数检测细胞增殖水平，通过萤光素酶报告基因法检测CAR-T细胞对肿瘤细胞的杀伤能力，qPCR检测CAR-T细胞中缺氧诱导因子-1α（HIF-1α）表达水平，利用MitoXpress Intra试剂盒检测CAR-T细胞内氧气含量。结果：不同细胞构建的实体瘤模型均存在明显缺氧情况，且CAR-T细胞浸润水平与缺氧程度呈显著负相关（P < 0.000 1）。HBA CAR-T与HBB CAR-T构建成功（阳性率 > 60%），相应血红蛋白亚基可稳定表达。缺氧环境下HBA CAR-T和HBB CAR-T的ROS水平、凋亡水平显著下降，增殖、对肿瘤细胞的体外杀伤能力显著强于传统CAR-T细胞（均P < 0.05）。HBA CAR-T与HBB CAR-T内HIF-1α表达降低（均P < 0.001），且缺氧程度显著降低（均P < 0.001）。结论：异位表达血红蛋白亚基可改善缺氧条件下CAR-T细胞功能障碍并增强其对肿瘤细胞的体外杀伤作用。

ObjectiveTo establish an ultra-performance liquid fingerprint and multi-components determination method for Naomaili granules. To evaluate the quality of different batches by chemometrics， and the anti-neuroinflammatory effects of water extract and main components of Naomaili granules were tested in vitro. MethodsThe similarity and common peaks of 27 batches of Naomaili granules were evaluated by using Ultra performance liquid chromatography （UPLC） fingerprint detection. Ultra-performance liquid chromatography-tandem mass spectrometry （UPLC-MS/MS） technology was used to determine the content of the index components in Naomaili granules and to evaluate the quality of different batches of Naomaili granules by chemometrics. LPS-induced BV-2 cell inflammation model was used to investigate the anti-neuroinflammatory effects of the water extract and main components of Naomaili granules. ResultsThe similarity of fingerprints of 27 batches of samples was > 0.90. A total of 32 common peaks were calibrated， and 23 of them were identified and assigned. In 27 batches of Naomaili granules， the mass fractions of 14 components that were stachydrine hydrochloride， leonurine hydrochloride， calycosin-7-O-glucoside， calycosin，tanshinoneⅠ， cryptotanshinone， tanshinoneⅡ_A， ginsenoside Rb₁， notoginsenoside R₁， ginsenoside Rg₁， paeoniflorin， albiflorin， lactiflorin， and salvianolic acid B were found to be 2.902-3.498， 0.233-0.343， 0.111-0.301， 0.07-0.152， 0.136-0.228， 0.195-0.390， 0.324-0.482， 1.056-1.435， 0.271-0.397， 1.318-1.649， 3.038-4.059， 2.263-3.455， 0.152-0.232， 2.931-3.991 mg∙g^-1， respectively. Multivariate statistical analysis showed that paeoniflorin， ginsenoside Rg₁， ginsenoside Rb₁ and staphylline hydrochloride were quality difference markers to control the stability of the preparation. The results of bioactive experiment showed that the water extract of Naomaili granules and the eight main components with high content in the prescription had a dose-dependent inhibitory effect on the release of NO in the cell supernatant. Among them， salvianolic acid B and ginsenoside Rb₁ had strong anti-inflammatory activity， with IC₅₀ values of （36.11±0.15） mg∙L^-1 and （27.24±0.54） mg∙L^-1， respectively. ConclusionThe quality evaluation method of Naomaili granules established in this study was accurate and reproducible. Four quality difference markers were screened out， and eight key pharmacodynamic substances of Naomaili granules against neuroinflammation were screened out by in vitro cell experiments.

ObjectiveTo study the chemical constituents of Painong powder and the constituents absorbed into blood after oral administration to rats by ultra performance liquid chromatography-quadrupole-electrostatic field orbitrap high-resolution mass spectrometry （UPLC-Q-Orbitrap-MS）. MethodsUPLC-Q-Orbitrap-MS was employed for mass spectrometry data acquisition. The chemical constituents of Painong Powder and the constituents absorbed into blood were characterized and identified via Xcalibur 4.2 and Compound Discoverer v3.3.1 （CD） based on retention time， accurate molecular weights， secondary fragmentation ions， and comparison with reference standards and literature reports. ResultsA total of 176 chemical compounds， including 56 flavonoids， 42 triterpenoid saponins， 23 monoterpenes， 7 coumarins， 5 tannins， and other 43 compounds were identified from Painong powder. 49 components were identified in the rat plasma after oral administration of Painong powder， including 33 prototype constituents and 16 metabolites. The major metabolic pathways included hydrolysis in phase Ⅰ metabolic reactions， as well as methylation， sulfation， and glucuronidation in phase Ⅱ metabolic reaction. ConclusionThe method comprehensively identified the chemical constituents of Painong powder both in vitro and in vivo， and may provide a reference for the study of quality control and clinical applications.

OBJECTIVE To construct a predictive model for evaluating the efficacy of a triple antiemetic regimen （neurokinin- 1 receptor antagonist+5-hydroxytryptamine 3 receptor antagonist+dexamethasone） for preventing nausea and vomiting induced by highly emetogenic chemotherapy （HEC） based on interpretable deep learning algorithms. METHODS Clinical data of cancer patients who received HEC and were treated with the standard triple antiemetic regimen in the oncology department of Tianjin Medical University General Hospital from January 2018 to December 2022 were collected retrospectively. Demographic， clinical and metabolism-related variables were integrated. After data pre-processing， two deep learning algorithms （deep random forest and dense neural network） and four machine learning algorithms （support vector machine， categorical boosting， random forest and decision tree） were used to build predictive models. Subsequently， model performance evaluation and model interpretability analysis were conducted. RESULTS Among the six candidate models， the deep random forest model demonstrated the best predictive performance on the test set， with an area under the receiver operating characteristic curve of 0.850， an accuracy of 0.911， a precision of 0.805， a recall of 0.783， an F1 score of 0.793， and a Brier score of 0.075. Interpretability analysis revealed that creatinine clearance rate （Ccr） was the key predictive factor， and low Ccr levels， female gender， younger age， highly emetogenic drugs （particularly cisplatin-containing chemotherapy regimens）， and anticipatory nausea and vomiting were positively correlated with the risk of HEC-related nausea and vomiting. CONCLUSIONS The deep random forest model exhibits the best performance in predicting the efficacy of triple antiemetic regimen for preventing HEC-related nausea and vomiting. The key predictors in this model primarily include Ccr，anticipatory nausea and vomiting， gender， age， and highly emetogenic drugs.

ObjectiveTo establish a mouse model of rheumatoid arthritis with interstitial lung disease （RA-ILD） in DBA/1 mice using Porphyromonas gingivalis （Pg） infection combined with collagen-induced arthritis （CIA）， and to comprehensively evaluate pathological characteristics in joints， lungs， and serum. MethodsForty DBA/1 mice were randomly divided into four groups， i.e.， Control， Pg infection （Pg）， CIA， and Pg infection combined with CIA （Pg+CIA）， with 10 mice in each group. Arthritis clinical symptoms were evaluated by recording arthritis incidence and clinical scores. Micro-CT scanning was used to assess knee joint pathology. Histopathological changes and collagen deposition in knee joints and lung tissues were analyzed using hematoxylin-eosin （HE） and Masson staining. Immunohistochemistry was performed to detect protein expression of α-smooth muscle actin （α-SMA）， typeⅠ collagen （ColⅠ）， and fibronectin （FN） in lung tissues. Real-time quantitative polymerase chain reaction（Real-time PCR）was used to measure mRNA expression levels of α-SMA， ColⅠ， FN， tumor necrosis factor-α （TNF-α）， interleukin-6 （IL-6）， and IL-1β in lung tissues. Enzyme-linked immunosorbent assay （ELISA） was used to detect serum levels of Pg， cyclic citrullinated peptide （CCP）， and immunoglobulin G （IgG）. ResultsJoint lesions： The CIA and Pg+CIA groups showed 100% arthritis incidence， with evident joint redness， swelling， and deformity. The number of affected limbs was 27 and 28， and clinical scores were 68 and 70， respectively. No obvious clinical symptoms were observed in the Pg group. Histopathological and imaging analyses showed severe joint lesions in the CIA and Pg+CIA groups， with significantly increased histopathological scores， bone mineral density， bone volume fraction， trabecular thickness， and trabecular number compared to the Control group （P<0.01）. No obvious joint pathology was observed in the Pg group. Lung lesions： The Pg+CIA group exhibited marked alveolar inflammation， interstitial inflammatory cell infiltration， and alveolar wall thickening， with pronounced blue staining of collagen fibers. Histopathological scores and collagen area ratios were significantly higher than those of the Control， Pg， and CIA groups （P<0.05）. Lung protein and mRNA expression levels of α-SMA， ColⅠ， and FN were markedly increased， and mRNA levels of IL-6， TNF-α， and IL-1β were significantly elevated compared to the Control group （P<0.05）. Serology： The Pg+CIA group showed significantly higher levels of CCP， Pg， and IgG compared with the Control， Pg， and CIA groups （P<0.05）. ConclusionDBA/1 mice subjected to Pg infection combined with CIA exhibited pronounced symptoms and pathological features of RA-ILD， along with elevated serum anti-CCP antibody levels. This model represents a novel RA-ILD mouse model， providing a valuable experimental tool for investigating RA-ILD pathogenesis and developing new therapeutics， and serves as a basis for establishing anti-cyclic citrullinated peptide antibody （ACPA）-positive RA-ILD animal models.

Gouty arthritis （GA） is caused by monosodium urate（MSU） deposition due to purine metabolism disorders. In traditional Chinese medicine （TCM）， it falls under the category of "dampness-heat Bi syndrome"， with core pathogenesis involving dampness-heat accumulation and dysfunction of the spleen and kidney. The dampness-heat syndrome is the most common and the primary syndrome type during acute attacks. In Western medicine， GA is associated with purine metabolism imbalance and inflammation triggered by MSU crystals， involving pathways such as NOD-like receptor protein 3 （NLRP3） inflammasome activation and Toll-like receptor 2/4 （TLR2/4） signaling. Clinically， colchicine and similar drugs are commonly used to treat GA， although long-term use carries potential side effects. Ermiao Formula analogs originate from ancient prescriptions， including Ermiao， Sanmiao， and Simiao compound formulas. All contain Atractylodis Rhizoma and Phellodendri Chinensis Cortex. Ermiaowan follow a 1∶1 formulation ratio. Sanmiaowan add Cyathulae Radix. Simiaowan further incorporate Coicis Semen. These formulas are rich in active ingredients， including alkaloids， terpenoids， flavonoids， and sterols， and treat GA through multi-component， multi-pathway， and multi-target mechanisms. Ermiaosan primarily exerts anti-inflammatory effects by inhibiting pathways such as TLR4/nuclear factor kappa-B （NF-κB） or regulating immune responses to reduce the release of inflammatory mediators， while also suppressing xanthine dehydrogenase （XDH） and xanthine oxidase （XO） activity to decrease uric acid production. Sanmiaowan enhance uric acid-lowering and anti-inflammatory effects through the guiding herb Cyathulae Radix， while also protecting cartilage from damage. Simiaowan utilizes Coicis Semen to regulate intestinal flora， alleviate dampness-heat symptoms， and exert multi-pathway anti-inflammatory and uric acid-lowering effects. The active ingredients contribute differently to uric acid metabolism regulation， anti-inflammation， antioxidant activity， and bone repair， resulting in varying therapeutic effects due to differences in formula composition. In summary， formulas derived from Ermiaosan demonstrate significant efficacy in treating dampness-heat type GA. This review summarizes their research progress and mechanisms， providing a reference for clinical application， new drug development， and further studies.