Various therapeuti modailities have been engineered for lung cancer treatment, but their clinic application is severely impeded by the poor therapy efficiency and immunosuppressive microenvironment. Herein, we fabricated a library of small molecule redox-labile nanoparticles (NPs) (i.e., diPTX-2C NPs, diPTX-2S NPs, and diPTX-2Se NPs) by the self-assembly of dimer paclitaxel (PTX) prodrug, and then utilized these NPs with the traditional Chinese medicine (TCM) Qi-Yu-San-Long-Fang (Q) for effective chemoimmunotherapy on Lewis lung carcinoma (LLC)-bearing mice models. Under the high concentration of glutathione (GSH) and H₂O₂, diPTX-2Se NPs could specifically release PTX in cancer cells and exert a higher selectivity and toxicity than normal cells. In LLC tumor-bearing mice, oral administration of Q not only effectively downregulated programmed death ligand-1 (PD-L1) expression, but also remodeled the immunosuppressive tumor immune microenvironment via the increase of CD4⁺ T and CD8⁺ T cell proportion and the repolarization of M2 into M1 macrophages in tumor tissues, collectively achieving superior synergistic treatment outcomes in combination with intravenous PTX prodrug NPs. Besides, we found that the combination regimen also demonstrated excellent chemoimmunotherapeutic performances on low-dose small established tumor and high-dose large established tumor models. This study may shed light on the potent utilization of Chinese and Western-integrative strategy for efficient tumor chemoimmunotherapy.

Objective:To develop an artificial intelligence (AI)-based platelet review strategy to identify abnormal platelet histograms with no significant difference between initial impedance platelet count (PLT-I) and PLT-F results.Methods:This study included 5 119 routine blood analysis in Nanfang Hospital of Southern Medical University and its Ganzhou branch from July 2023 and March 2024. Specimens exhibiting abnormal platelet histograms and an initial platelet count >40×10?/L underwent review using the fluorescent platelet count (PLT-F) channel. Consistency of the results was defined as a difference between impedance platelet count (PLT-I) and PLT-F less than ±20% of the PLT-F results. A deep learning model was developed using platelet and red blood cell histogram data from a training set of 3 807 specimens. The model′s diagnostic performance was evaluated on an independent external validation set ( n=805) using receiver operating characteristic (ROC) curve analysis. Changes in the number of reviewed samples and sample turnaround time were analyzed to assess its clinical utility. Results:The deep learning model based on platelet and red blood cell histograms achieved an area under the ROC curve (AUC) of 0.854 in the training set. At a cutoff value of 0.1, the sensitivity was 0.954 and specificity was 0.358. The model could reduce review by 16.80% (190/1 131). In the validation set, the AUC was 0.805, with a sensitivity of 0.955 and specificity of 0.307, corresponding to a reduction of 17.41% (47/270) in reviewed specimens.Conclusion:The platelet review prediction model developed based on deep learning technology can efficiently identify samples with consistent results before and after review, reducing unnecessary reviews and shortening specimen testing time, thereby improving the efficiency of platelet test.

The aim of this study is to establish a rapid,efficient,and sensitive method for detecting the infectious laryngotracheitis virus(ILTV).The DNA of ILTV was extracted and used as a tem-plate to develop a recombinant enzyme-mediated isothermal amplification(RAA)fluorescence de-tection method for ILTV through optimization of conditions,sensitivity analysis,and repeatability assessment.Additionally,the nucleic acids of avian influenza virus(AIV),IBV,and Newcastle dis-ease virus(NDV)were detected to verify the specificity of this method.Finally,this method was applied to analyze 59 clinical samples collected from multiple large-scale chicken farms in Hebei Province,and the results were compared with those obtained from real-time fluorescence quantifi-cation(qPCR)and PCR methods according to national standards.The results showed that the RAA detection method established in this study had a reaction system of 25.0 μL buffer,2.1 μL primer,0.6 μL probe,5.0 μL magnesium acetate,and 5.0 μL template.The reaction temperature was 39 ℃ and the amplification time was within 20 minutes.The sensitivity of this method was 101 copies/μL,and the specificity detection was 100％.Testing of 59 clinical samples showed that 17 were detected positive by both RAA fluorescence and qPCR,and 12 were detected by PCR,and the detection rate of RAA(fluorescence)was consistent with real-time fluorescence quantification and qPCR,which was higher than that of the PCR assay.The research results indicate that the RAA fluorescence method has a short detection time,good specificity and sensitivity,and can be used for rapid detection of ILTV.

The aim of this study is to establish a rapid,efficient,and sensitive method for detecting the infectious laryngotracheitis virus(ILTV).The DNA of ILTV was extracted and used as a tem-plate to develop a recombinant enzyme-mediated isothermal amplification(RAA)fluorescence de-tection method for ILTV through optimization of conditions,sensitivity analysis,and repeatability assessment.Additionally,the nucleic acids of avian influenza virus(AIV),IBV,and Newcastle dis-ease virus(NDV)were detected to verify the specificity of this method.Finally,this method was applied to analyze 59 clinical samples collected from multiple large-scale chicken farms in Hebei Province,and the results were compared with those obtained from real-time fluorescence quantifi-cation(qPCR)and PCR methods according to national standards.The results showed that the RAA detection method established in this study had a reaction system of 25.0 μL buffer,2.1 μL primer,0.6 μL probe,5.0 μL magnesium acetate,and 5.0 μL template.The reaction temperature was 39 ℃ and the amplification time was within 20 minutes.The sensitivity of this method was 101 copies/μL,and the specificity detection was 100％.Testing of 59 clinical samples showed that 17 were detected positive by both RAA fluorescence and qPCR,and 12 were detected by PCR,and the detection rate of RAA(fluorescence)was consistent with real-time fluorescence quantification and qPCR,which was higher than that of the PCR assay.The research results indicate that the RAA fluorescence method has a short detection time,good specificity and sensitivity,and can be used for rapid detection of ILTV.

Objective:To develop an artificial intelligence (AI)-based platelet review strategy to identify abnormal platelet histograms with no significant difference between initial impedance platelet count (PLT-I) and PLT-F results.Methods:This study included 5 119 routine blood analysis in Nanfang Hospital of Southern Medical University and its Ganzhou branch from July 2023 and March 2024. Specimens exhibiting abnormal platelet histograms and an initial platelet count >40×10?/L underwent review using the fluorescent platelet count (PLT-F) channel. Consistency of the results was defined as a difference between impedance platelet count (PLT-I) and PLT-F less than ±20% of the PLT-F results. A deep learning model was developed using platelet and red blood cell histogram data from a training set of 3 807 specimens. The model′s diagnostic performance was evaluated on an independent external validation set ( n=805) using receiver operating characteristic (ROC) curve analysis. Changes in the number of reviewed samples and sample turnaround time were analyzed to assess its clinical utility. Results:The deep learning model based on platelet and red blood cell histograms achieved an area under the ROC curve (AUC) of 0.854 in the training set. At a cutoff value of 0.1, the sensitivity was 0.954 and specificity was 0.358. The model could reduce review by 16.80% (190/1 131). In the validation set, the AUC was 0.805, with a sensitivity of 0.955 and specificity of 0.307, corresponding to a reduction of 17.41% (47/270) in reviewed specimens.Conclusion:The platelet review prediction model developed based on deep learning technology can efficiently identify samples with consistent results before and after review, reducing unnecessary reviews and shortening specimen testing time, thereby improving the efficiency of platelet test.

In order to understand the difference and expression of genes in CEK cells before and af-ter baicalin interferes with IBV,further reveal and analyze the mechanism of baicalin interfering IBV replication in CEK cells in vitro.After IBV infected CEK cells for 2 h,9.75 mg/L baicalin liq-uid was added to interfere with CEK cells,which was recorded as the baicalin(H-IBV)group,and three replicate wells were set in the control group and the IBV(IBV)infection group.After 36 h culture,cell samples were collected and subject to transcriptome for sequencing.The results showed that there were 102 differentially expressed genes in H-IBV group compared with IBV in-fection group,among which 48 genes weresignificantly up-regulated and 54 genes were significantly down-regulated.Through functional annotation in GO and KEGG databases,it was found that dif-ferentially expressed genes were mainly annotated in biological processes such as cellular proces-ses,biological regulation,metabolism,and secondary pathways such as viral infectious diseases,signal transduction and interaction.Retinol metabolism pathway,phospholipid transfer to mem-brane,IL-27 mediated signaling pathway,MDA5/RIG-I and Toll-like receptor signaling pathway were significantly enriched in CEK cells,and the production of type Ⅰ interferon and interferon al-pha and the process of antiviral infection were also positively regulated.There were more differen-tial genes enriched in nucleic acid catalysis,immune system,and reaction,and interbiological reac-tion.Through the STRING network interaction map,it was found that most immune-related genes could form a 36-node interaction network centered on IRF7,TLR3 and STAT1.Therefore,com-pared with IBV group,the differentially expressed genes after baicalin treatment were mainly an-notated and enriched in the biological process,and the immune system and response were en-hanced,mainly through the positive regulation of IRF7 in the MDA5/RIG-I receptor signaling pathway and the inhibition of TLR3 signal transduction in the Toll-like receptor signaling path-way.Positive regulation of IL-27 mediated pathway and regulation of JAK-STAT signaling path-way were supplemented by activation of the expression of IRF7,TLR3,STAT1 and other related genes,and interaction with corresponding downstream proteins to promote the expression of IFN-α and regulatory cytokines,coupled with negative regulation of viral(defense)response and viral processes.Thus,baicalin interferes with IBV replication in CEK cells.

Objective To observe the application effect of precision movement cloud technology system on the population with abnormal blood pressure.Methods A total of 100 people with abnormal blood pres-sure in the Chronic Disease Management Center of this hospital from March 1 to December 31,2022 were se-lected as the study subjects and divided into the blood pressure high value group and the grade 1 hypertension group according to the blood pressure situation,50 cases in each group.After the conventional physical exami-nation,questionnaire survey and exercise measurement,"five-in-one"individualized interventional guidance was carried out,the remote monitoring and management was implemented,the movement intensity was moni-tored by the heart rate for supervising the implementation of precise movement,furthermore the changes of various indicators before intervention and in 3 months after intervention were compared between the two groups.Results Compared with before intervention,the body weight,BMI,systolic pressure,diastolic pres-sure,central arterial pressure and vascular growth index after intervention in the blood pressure high value group were decreased,the cardiorespiratory endurance,glycosylated hemoglobin,high-density lipoprotein and cholesterol levels were increased,the differences were statistically significant(P＜0.05).Compared with be-fore intervention,the body weight,BMI,systolic pressure,diastolic pressure,central arterial pressure and vas-cular growth index after intervention in the grade 1 hypertension group were decreased,the cardiorespiratory endurance was increased,and the differences were statistically significant(P＜0.05).Compared with before intervention,the body weight,BMI,systolic pressure,diastolic pressure,central arterial pressure,triglyceride and vascular growth index after intervention in all the subjects were decreased,the cardiorespiratory endur-ance,blood creatinine and blood glucose levels were increased,and the differences were statistically significant(P＜0.05).Conclusion The precision movement cloud technology system is correlated with the improvement of blood pressure,and it is recommended to promote its use in the people with blood pressure high value and grade I hypertension.

Objective:To investigate the correlation and predictive value of fibrinogen-to-albumin ratio (FAR) and clinical outcomes after intravenous thrombolysis in patients with acute ischemic stroke.Methods:Patients with acute ischemic stroke received intravenous thrombolysis treatment at Fuyang People's Hospital from November 2019 to August 2022 were retrospectively included. Their clinical, imaging, and laboratory data were collected. After 3 months of onset, a modified Rankin Scale was used for clinical outcome evaluation and a score >2 were defined as poor outcome. Multivariate logistic regression analysis was used to determine the correlation between FAR and poor outcome. Receiver operating characteristic (ROC) curve was used to evaluate the predictive value of FAR on adverse outcomes after intravenous thrombolysis in patients with acute ischemic stroke. Results:A total of 162 patients were included. There were 114 patients (70.4%) in the good outcome group and 48 (29.6%) in the poor outcome group. Univariate analysis showed that the baseline National Institutes of Health Stroke Scale (NIHSS) score, fasting blood glucose, fibrinogen, and FAR in the poor outcome group were significantly higher than those in the good outcome group, while the serum albumin was significantly lower than that of the good outcome group (all P<0.05). Multivariate logistic regression analysis showed that the baseline NIHSS score (odds ratio [ OR] 1.176, 95% confidence interval [ CI] 1.082-1.227; P<0.001), fasting blood glucose ( OR 1.206, 95% CI 1.018-1.430; P=0.030), and FAR ( OR 1.448, 95% CI 1.449-1.824; P=0.002) were the independent risk factors for poor outcome. The ROC curve analysis showed that the area under the curve of FAR for predicting poor outcomes was 0.706 (95% CI 0.616-0.796). When the FAR cutoff value was 8.06, the sensitivity and specificity were 66.7% and 78.2%, respectively. Conclusion:There is a significant correlation between FAR and outcomes after intravenous thrombolysis therapy in patients with acute ischemic stroke. Higher FAR has certain predictive value for poor outcomes of patients.

Objective: To analyze influencing factors for depressive symptoms in the elderly aged 65 years and older in 8 longevity areas in China. Methods: We recruited 2 180 participants aged 65 years and older in 8 longevity areas from Healthy Aging and Biomarkers Cohort Study, a sub-cohort of the Chinese Longitudinal Healthy Longevity Survey in 2017. Multivariate logistic regression analysis was performed to evaluate the relationships of socio-demographic characteristics, behavioral lifestyle, chronic disease prevalence, functional status, family and social support with depressive symptoms in the elderly. Results: The detection rate of depression symptoms was 15.0% in the elderly aged 65 years and older in 8 longevity areas of China, and the detection rate of depression symptoms was 11.5% in men and 18.5% in women. Multivariate logistic regression analysis results showed that the detection rate of depressive symptoms was lower in the elderly who had regular physical exercises (OR=0.44, 95%CI: 0.26-0.74), frequent fish intakes (OR=0.57, 95%CI: 0.39-0.83), recreational activities (OR=0.65, 95%CI: 0.44-0.96), social activities (OR=0.28, 95%CI: 0.11-0.73) and community services (OR=0.68, 95%CI: 0.50-0.93). The elderly who were lack of sleep (OR=2.04, 95%CI: 1.49-2.80), had visual impairment (OR=1.54, 95%CI: 1.08-2.18), had gastrointestinal ulcer (OR=2.97, 95%CI: 1.53-5.77), had arthritis (OR=2.63, 95%CI: 1.61-4.32), had higher family expenditure than income (OR=1.80, 95%CI: 1.17-2.78) and were in poor economic condition (OR=4.58, 95%CI: 2.48-8.47) had higher detection rate of depressive symptoms. Conclusion The status of doing physical exercise, fish intake in diet, social activity participation, sleep quality or vision, and the prevalence of gastrointestinal ulcers and arthritis were associated with the detection rate of depressive symptoms in the elderly.

Objective: To establish a prediction model for 6-year incidence risk of chronic kidney disease (CKD) in the elderly aged 65 years and older in China. Methods: In this prospective cohort study, we used the data of 3 742 participants collected during 2008/2009-2014 and during 2012-2017/2018 from Healthy Aging and Biomarkers Cohort Study, a sub-cohort of the Chinese Longitudinal Healthy Longevity Survey. Two follow up surveys for renal function were successfully conducted for 1 055 participants without CKD in baseline survey. Lasso method was used for the selection of risk factors. The risk prediction model of CKD was established by using Cox proportional hazards regression models and visualized through nomogram tool. Bootstrap method (1 000 resample) was used for internal validation, and the performance of the model was assessed by C-index and calibration curve. Results: The mean age of participants was (80.8±11.4) years. In 4 797 person years of follow up, CKD was found in 262 participants (24.8%). Age, BMI, sex, education level, marital status, having retirement pension or insurance, hypertension prevalence, blood uric acid, blood urea nitrogen and total cholesterol levels and estimated glomerular filtration rate in baseline survey were used in the model to predict the 6-year incidence risk of CKD in the elderly. The corrected C-index was 0.766, the calibration curve showed good consistence between predicted probability and observed probability in high risk group, but relatively poor consistence in low risk group. Conclusion The incidence risk prediction model of CKD established in this study has a good performance, and the nomogram can be used as visualization tool to predict the 6-year risk of CKD in the elderly aged 65 years and older in China.