Health think tanks serve as a crucial intellectual support for the Healthy China strategy. The authors systematically analyzed the definitions, classifications, and operational status of health think tanks, categorizing them into five types: government-affiliated think tanks, university and research institute think tanks, social think tanks, hospital think tanks, and corporate think tanks. It was indicated that current health think tanks had significant room for improvement in both quantity and influence, particularly concerning deeper integration with policy decision-making and interdisciplinary collaboration. Although these think tanks played a unique role in supporting government decision-making, issues such as lagging institutional development, insufficient collaborative effectiveness, and difficulties in translating research findings into practice remained prominent. To enhance the ability of think tanks to serve the Healthy China strategy, this study proposed strategies including strengthening top-level design, improving participation mechanisms, optimizing management and evaluation systems, establishing data-sharing platforms, and deepening collaborative governance, with the aim of fostering the healthy development of China′s health think tanks.

AIM:To analyze the clinical value of predicting drug resistance in pulmonary tuberculo-sis patients based on improved machine learning models,and to build a visualization system for veri-fication.METHODS:Retrospectively selected 1 025 pulmonary tuberculosis patients hospitalized in Zhuhai Sixth People's Hospital from March 2019 to March 2024 with drug sensitivity test results as the research object.According to the definition of drug-resistant tuberculosis,the patients were divided in-to 631 sensitive groups(drug sensitivity test results showed no drug resistance),271 RR/MDR groups(meeting the definition of rifampicin resistant tu-berculosis or multi drug resistant tuberculosis,but no drug resistance to any kind of fluoroquino-lones),and 123 pre XDR groups(on the basis of multi drug resistant tuberculosis,and at the same time,drug resistance to any kind of fluoroquino-lones).Analyze clinical data based on the improved machine learning model,help build a drug resistant tuberculosis prediction model,synchronously com-plete feature screening,conduct value analysis on the screened features,and build a visual system for verification.RESULTS:Three groups of patients with baseline data comparison shows:Age,Body mass index(BMI),basic treatment of classification,lung diseases,haemoptysis,second-line drug use history,damage to lung,with empty in all statisti-cally significant difference between the three groups(P<0.05);Based on the modified ma-chine learning model,8 variables were screened,which were history of second-line drug use,BMI,treatment classification,destructive lung,underly-ing lung diseases,cavitation,hemoptysis,and age.The modified machine learning model had the high-est prediction accuracy compared with the tradi-tional model,with AUC values of 0.9322(RR/MDR prediction was positive class)and 0.9545(pre-XDR prediction was positive class).CONCLUSION:The application of the improved machine learning mod-el can help predict the occurrence of drug-resistant tuberculosis and assist the clinical formulation of more effective treatment plans.

AIM:To analyze the clinical value of predicting drug resistance in pulmonary tuberculo-sis patients based on improved machine learning models,and to build a visualization system for veri-fication.METHODS:Retrospectively selected 1 025 pulmonary tuberculosis patients hospitalized in Zhuhai Sixth People's Hospital from March 2019 to March 2024 with drug sensitivity test results as the research object.According to the definition of drug-resistant tuberculosis,the patients were divided in-to 631 sensitive groups(drug sensitivity test results showed no drug resistance),271 RR/MDR groups(meeting the definition of rifampicin resistant tu-berculosis or multi drug resistant tuberculosis,but no drug resistance to any kind of fluoroquino-lones),and 123 pre XDR groups(on the basis of multi drug resistant tuberculosis,and at the same time,drug resistance to any kind of fluoroquino-lones).Analyze clinical data based on the improved machine learning model,help build a drug resistant tuberculosis prediction model,synchronously com-plete feature screening,conduct value analysis on the screened features,and build a visual system for verification.RESULTS:Three groups of patients with baseline data comparison shows:Age,Body mass index(BMI),basic treatment of classification,lung diseases,haemoptysis,second-line drug use history,damage to lung,with empty in all statisti-cally significant difference between the three groups(P<0.05);Based on the modified ma-chine learning model,8 variables were screened,which were history of second-line drug use,BMI,treatment classification,destructive lung,underly-ing lung diseases,cavitation,hemoptysis,and age.The modified machine learning model had the high-est prediction accuracy compared with the tradi-tional model,with AUC values of 0.9322(RR/MDR prediction was positive class)and 0.9545(pre-XDR prediction was positive class).CONCLUSION:The application of the improved machine learning mod-el can help predict the occurrence of drug-resistant tuberculosis and assist the clinical formulation of more effective treatment plans.

Health think tanks serve as a crucial intellectual support for the Healthy China strategy. The authors systematically analyzed the definitions, classifications, and operational status of health think tanks, categorizing them into five types: government-affiliated think tanks, university and research institute think tanks, social think tanks, hospital think tanks, and corporate think tanks. It was indicated that current health think tanks had significant room for improvement in both quantity and influence, particularly concerning deeper integration with policy decision-making and interdisciplinary collaboration. Although these think tanks played a unique role in supporting government decision-making, issues such as lagging institutional development, insufficient collaborative effectiveness, and difficulties in translating research findings into practice remained prominent. To enhance the ability of think tanks to serve the Healthy China strategy, this study proposed strategies including strengthening top-level design, improving participation mechanisms, optimizing management and evaluation systems, establishing data-sharing platforms, and deepening collaborative governance, with the aim of fostering the healthy development of China′s health think tanks.

Esophageal cancer is an upper gastrointestinal malignancy with a bleak prognosis.It is still being explored in depth due to its complex molecular mechanisms of occurrence and development.Lipids play a crucial role in cells by participating in energy supply,biofilm formation,and signal transduction pro-cesses,and lipid metabolic reprogramming also constitutes a significant characteristic of malignant tu-mors.More and more studies have found esophageal cancer has obvious lipid metabolism abnormalities throughout its beginning,progress,and treatment resistance.The inhibition of tumor growth and the enhancement of antitumor therapy efficacy can be achieved through the regulation of lipid metabolism.Therefore,we reviewed and analyzed the research results and latest findings for lipid metabolism and associated analysis techniques in esophageal cancer,and comprehensively proved the value of lipid metabolic reprogramming in the evolution and treatment resistance of esophageal cancer,as well as its significance in exploring potential therapeutic targets and biomarkers.

[Objective]To explore the role of estrogen and estrogen receptor (ER) in the pathogenesis and regulation of non-invasive fungal rhinosinusitis (NIFR).[Methods]Totally 60 patients with NIFS who met the inclusion criteria in Fuzhou Second General Hospital from November 2020 to November 2023 were selected as the NIFS group,while 30 healthy volunteers were recruited as the blank control group. Samples of each group were collected. The number of eosinophils and mast cells in each group were detected by HE staining;ER expression was detected by immunohistochemistry and immunofluorescence;mRNA expression levels of NF-κB,IKK and MASPIN were detected by qPCR;and protein expression levels of NF-κB,IKK and MASPIN were detected by immunohistochemistry and Western blot.[Results]In the NIFS group,the counts of eosinophils and mast cells were significantly increased respectively,compared with those in the control group,and the inter-group differences are statistically significant (P<0.01 and P<0.05,respectively). The Estrogen Receptor (ER) score in the NIFS group was significantly increased compared with that in the control group,and the inter-group differences are statistically significant (P<0.05). Additionally,the average high-density value in the NIFS group was significantly increased compared with that in the control group,and the inter-group differences are statistically significant (P<0.01). The expression levels of NF-κB,IKK,and MASPIN in the NIFS group were significantly increased respectively,compared with those in the control group,and the inter-group differences are statistically significant (P<0.01,P<0.05,and P<0.01,respectively). The mRNA expression levels of NF-κB,IKK,and MASPIN in the NIFS group were significantly increased,respectively,compared with those in the control group (P<0.01). Furthermore,the protein expression levels of NF-κB,IKK,and MASPIN in the NIFS group were increased,respectively,and the inter-group differences are statistically significant (P<0.01,P<0.01,and P<0.05,respectively).[Conclusion]Our results show that the significant increase in the number of eosinophils and mast cells,and in the expression levels of ER,NF-κB,IKK and MASPIN may indicate a significant increase in eosinophil and mast cell infiltration in ER positive patients,and suggest the involvement of estrogen and its receptors in the pathogenesis of NIFS.

Abstract: In the present study, the compound XL-12 from our previous work was utilized as a lead compound. Through the optimization of the terminal phenyl ring, 12 target compounds were designed and synthesized. The structures of all target compounds were confirmed by 1H NMR, 13C NMR, and H RMS. In vitro enzyme activity assay showed that most compounds demonstrated significant inhibitory activity toward Bruton’s tyrosine kinase (BTK) and Janus kinase 3 (JAK3). Among them, compound I-3 exhibited moderate cell proliferation inhibitory activity toward Daudi cells and BaF3-JAK3 cells. In the evaluation of anti-inflammatory activity in vitro, compound I-3 could effectively inhibit the production of inflammatory factors IL-6; besides, it exhibited superior anti-inflammatory activity compared to ibrutinib in xylene-induced ear swelling model in mice.

Objective To investigate the value of interleukin(IL)-6 and kidney injury molecule(Kim)-1 in the early prediction of contrast-induced pnephropathy(CIN)after percutaneous coronary intervention(PCI)in patients with coronary heart disease.Methods A total of 730 patients with coronary heart disease who underwent PCI were retrospectively collected,divided into CIN group(n=46)and non-CIN group(n=684),and the medical records of the two groups were compared,and the relationship between Kim-1 and IL-6 of renal injury and CIN was analyzed by binary regression,and the receiver operating characteristic(ROC)curve was used to explore the predictive value of these two markers on CIN after PCI for coronary heart disease.Results There was no significant difference between two groups in terms of preoperative IL-6(P=0.467)and Kim-1(P=0.643),and 48h and 72h after PCI,IL-6 and Kim-1 in CIN group was higher than that in non-CIN group(P＜0.001),and IL-6 and Kim-1 in CIN group was higher than that in before surgery(P＜0.001).48h postoperative IL-6(OR=1.884,P=0.002),48h postoperative Kim-1(OR=1.409,P＜0.001)and 72h postoperative IL-6(OR=1.377,P＜0.001)and 72 hours postoperative Kim-1(OR=1.092,P=0.004)were independent risk factors for CIN.The ROC curve showed that when used as a diagnostic marker for CIN,the area under the curve(AUC)of IL-6(48h),IL-6(72h)were 0.837,0.782,AUC of 48h Kim-1 and 72h Kim-1 were 0.820 and 0.827,respectively.Conclusion IL-6 and Kim-1 are independent risk factors for CIN after PCI for coronary heart disease.IL-6 and Kim-1 were positively correlated with the occurrence of CIN after PCI for coronary heart disease.IL-6 and Kim-1 have good diagnostic sensitivity and specificity for CIN after PCI for coronary heart disease.

Background: and Purpose The eye-movement examination can be applied as a noninvasive method to identify multiple-system atrophy (MSA). Few studies have investigated eye movements during the early stage of MSA with predominant parkinsonism (MSA-P). We aimed to determine the characteristic oculomotor changes in the early stage of MSA-P. Methods: We retrospectively selected 17 patients with MSA-P and 40 with Parkinson’s disease (PD) with disease durations of less than 2 years, and 40 age-matched healthy controls (HCs).Oculomotor performance in the horizontal direction was measured in detail using videonystagmography. Results: We found that the proportions of patients with MSA-P and PD exhibiting abnormal eye movements were 82.4% and 77.5%, respectively, which were significantly higher than that in the HCs (47.5%, p<0.05). Compared with HCs, patients with MSA-P presented significantly higher abnormal proportions of fixation and gaze-holding (17.6% vs. 0%), without-fixation (47.1% vs. 0%), prolonged latency in reflexive saccades (29.4% vs. 5.0%), memory-guided saccades (93.3% vs. 10.0%), and catch-up saccades in smooth-pursuit movement (SPM, 41.2% vs. 0) (all p<0.05). Compared with those with PD, patients with MSA-P presented a significantly higher proportion of catch-up saccades in SPM (41.2% vs. 2.5%, p<0.001). Conclusions MSA-P presented the characteristic of catch-up saccades in SPM in the early stage, which may provide some value in differentiating MSA-P from PD.

Humans ; Pulmonary Alveolar Proteinosis/radiotherapy* ; Small Cell Lung Carcinoma/radiotherapy* ; Lung ; Bronchoalveolar Lavage ; Lung Neoplasms/radiotherapy*