Objective To explore the recognition capabilities of electronic nose combined with machine learning in identifying the breath odor map of benign and malignant pulmonary nodules and Traditional Chinese Medicine (TCM) syndrome elements. Methods The study design was a single-center observational study. General data and four diagnostic information were collected from 108 patients with pulmonary nodules admitted to the Department of Cardiothoracic Surgery of Hospital of Chengdu University of TCM from April 2023 to March 2024. The patients' TCM disease location and nature distribution characteristics were analyzed using the syndrome differentiation method. The Cyranose 320 electronic nose was used to collect the odor profiles of oral exhalation, and five machine learning algorithms including random forest (RF), K-nearest neighbor (KNN), logistic regression (LR), support vector machine (SVM), and eXtreme gradient boosting (XGBoost) were employed to identify the exhaled breath profiles of benign and malignant pulmonary nodules and different TCM syndromes. Results (1) The common disease locations in pulmonary nodules were ranked in descending order as liver, lung, and kidney; the common disease natures were ranked in descending order as Yin deficiency, phlegm, dampness, Qi stagnation, and blood deficiency. (2) The electronic nose combined with the RF algorithm had the best efficacy in identifying the exhaled breath profiles of benign and malignant pulmonary nodules, with an AUC of 0.91, accuracy of 86.36%, specificity of 75.00%, and sensitivity of 92.85%. (3) The electronic nose combined with RF, LR, or XGBoost algorithms could effectively identify the different TCM disease locations and natures of pulmonary nodules, with classification accuracy, specificity, and sensitivity generally exceeding 80.00%.Conclusion Electronic nose combined with machine learning not only has the potential capabilities to differentiate the benign and malignant pulmonary nodules, but also provides new technologies and methods for the objective diagnosis of TCM syndromes in pulmonary nodules.

Objective: To design and establish a new method for flow cytometry-based detection of commonly observed highly expressed antigens on red blood cells, and to further evaluate the differences and distribution characteristics of antigen expression levels between ABO blood type homozygotes and heterozygotes in healthy individuals. Methods: Residual blood samples after donor blood type identification by Shanghai Blood Center in April 2024 were collected. Among them, samples of 19 homozygous and 19 heterozygous individuals of type A and type B were selected. Then the expression level of ABO antigen on red blood cells were detected using the new method established in this study and the traditional aldehyde fixed red blood cell method. Both methods were tested independently three times and the results were compared. Results: The mean values of the three detection results of the new method was (×10 /RBC): AA homozygous 3.3±0.5, AO heterozygous 2.8±0.3, BB homozygous 3.6±0.3, BO heterozygous 3.1±2.8. The mean values of the three detection results of the aldehyde fixation method were AA homozygous 5.9±0.9, AO heterozygous 5.0±1.4, BB homozygous 3.8±0.6, and BO heterozygous 3.3±0.4. The average antigen distribution of each genotype followed a normal distribution. Comparing the average antigen expression levels of homozygotes and heterozygotes, both methods showed that A/B homozygotes had higher antigen levels than heterozygotes, with AA being 1.17 to 1.18 times that of AO and BB being 1.15 to 1.16 times that of BO. Comparing the inter batch differences in the three test results of two methods, the new method showed no significant difference in the three test results for four genotypes (P>0.05). The aldehyde fixation method showed significant differences in the test results for all three genotypes (P<0.01) except for BB homozygotes (P>0.05). The reliability and reproducibility of the new method were better than those of the traditional aldehyde fixation method. Conclusion: The antigen expression level of ABO homozygotes is higher than that of heterozygotes, and the difference in antigen level between type A homozygotes and heterozygotes is slightly higher than that of type B. The new method is superior to traditional aldolization fixation methods.

Objective To establish an indirect enzyme-linked immunosorbent assay(ELISA)method for testing the concentration of a monoclonal antibody target tumor necrosis factor-α(TNF-α)in animal serum.Methods The critical parameters of the method including coating concentration of human TNF-α,source,concentration and stability of HRP-labeled goat anti-human immunoglobulin G(IgG)were investigated.The specificity,accuracy,precision,linearity and Limited of Determination of the method were investigated.Results The critical parameters of the method were confirmed as below:TNF-α was coated at 400 ng·mL-1;HRP labeled goat anti-human IgG antibody was diluted at 1:3.0 ×105;the diluted horseradish peroxidase labeled goat anti-human IgG antibody is well stored at 4 ℃ for 3 days.Meanwhile the method was confirmed to have good specificity,the recovery rate ranged from 84.00％to 106.82％,the coefficient of variation of different antibody concentration levels were no more than 10％;the method had a good linearity and the standard curve was y=(-8.37×103-2.37 × 106)/[1+(x/29.80)106]+2.37 × 106(R2=0.999);the limit of quantification was 1 ng·mL-1,all of which met the requirements.Conclusion A accurate and robust ELISA method was developed to test the concentration of anti-TNF-α monoclonal antibody in serum.

In the past few decades, microbubbles were widely used as ultrasound contrast agents in the field of tumor imaging. With the development of research, ultrasound targeted microbubble destruction technology combined with drug-loaded microbubbles can achieve precise drug release and play a therapeutic role. As a micron-scale carrier, microbubbles are difficult to penetrate the endothelial cell space of tumors, and nano-scale drug delivery system—nanobubbles came into being. The structure of the two is similar, but the difference in size highlights the unique advantages of nanobubbles in drug delivery. Based on the classification principle of shell materials, this review summarized micro/nanobubbles used for ultrasound diagnosis or treatment and discussed the possible development directions, providing references for the subsequent development.

Objective To investigate the therapeutic mechanism of Pterocarya hupehensis Skan total flavonoids(PHSTF)for rheumatoid arthritis(RA).Methods Twenty-five male SD rats were randomly divided into normal control group,RA model group,PHSTF treatment(45 and 90 mg/kg)groups,and Tripterygium glycosides(TPG)tablet(10 mg/kg)group(n=5).Except for those in the normal control group,all the rats were subjected to collagen-induced arthritis(CIA)modeling using a secondary immunization method,after which PHSTF and TPG were administered via gavage once daily for 4 weeks.After the treatments,serum levels of TNF-α and IL-1β were measured using ELISA,and ankle joint pathologies were assessed with HE staining;the expression of citrullinated histone H3(Cit-H3),a neutrophil extracellular trap(NET)marker,in the ankle joints was evaluated with immunohistochemistry.In primary cultures of rat peripheral blood neutrophils stimulated with phorbol ester(PMA),the effects of PHSTF(100 and 200 μg/mL)on the expressions of Cit-H3,peptidylarginine deiminase 4(PADI4),neutrophil elastase(NE),and myeloperoxidase(MPO)were examined with Western blotting;immunofluorescence assay was used to observe Cit-H3 expression and NET formation in the cells.Results In the CIA rat models,PHSTF significantly alleviated ankle swelling,decreased serum levels of TNF-α and IL-1β,improved histopathological changes in the ankle joints,and reduced Cit-H3 expression in both the serum and ankle joint cartilage.In the isolated rat neutrophils,PHSTF showed no significant effect on cell viability but strongly inhibited PMA-induced NET release.Conclusion PHSTF can alleviate RA by inhibiting the formation of NETs.

The study focused on individuals with influenza-like symptoms (fever, cough, sore throat, runny nose, and other respiratory symptoms) in three kindergartens in Tongzhou District, Beijing City, in April 2023. Nasopharyngeal swab specimens were collected, and real-time fluorescent quantitative PCR was used to detect common respiratory pathogens in the collected specimens. Positive specimens were subjected to sequencing analysis of the highly variable region of human respiratory syncytial virus (HRSV) G protein, homology analysis and phylogenetic tree analysis. A total of 25 fever cases were collected from 3 kindergartens, aged 3-8 years old, with an age M ( Q1, Q3) of 4 (3.5, 5) years old. Ten confirmed cases of HRSV positive were screened and detected using the fluorescent quantitative PCR method, with a total detection rate of 40% (10/25). Typing identification and sequencing analysis confirmed that the main epidemic type was HRSV subtype B, which was highly homologous and closely related to previous epidemic strains in the region. Through pathogen investigation and analysis, it was preliminarily determined that this epidemic was dominated by HRSV subtype B.

Objective To investigate the therapeutic mechanism of Pterocarya hupehensis Skan total flavonoids(PHSTF)for rheumatoid arthritis(RA).Methods Twenty-five male SD rats were randomly divided into normal control group,RA model group,PHSTF treatment(45 and 90 mg/kg)groups,and Tripterygium glycosides(TPG)tablet(10 mg/kg)group(n=5).Except for those in the normal control group,all the rats were subjected to collagen-induced arthritis(CIA)modeling using a secondary immunization method,after which PHSTF and TPG were administered via gavage once daily for 4 weeks.After the treatments,serum levels of TNF-α and IL-1β were measured using ELISA,and ankle joint pathologies were assessed with HE staining;the expression of citrullinated histone H3(Cit-H3),a neutrophil extracellular trap(NET)marker,in the ankle joints was evaluated with immunohistochemistry.In primary cultures of rat peripheral blood neutrophils stimulated with phorbol ester(PMA),the effects of PHSTF(100 and 200 μg/mL)on the expressions of Cit-H3,peptidylarginine deiminase 4(PADI4),neutrophil elastase(NE),and myeloperoxidase(MPO)were examined with Western blotting;immunofluorescence assay was used to observe Cit-H3 expression and NET formation in the cells.Results In the CIA rat models,PHSTF significantly alleviated ankle swelling,decreased serum levels of TNF-α and IL-1β,improved histopathological changes in the ankle joints,and reduced Cit-H3 expression in both the serum and ankle joint cartilage.In the isolated rat neutrophils,PHSTF showed no significant effect on cell viability but strongly inhibited PMA-induced NET release.Conclusion PHSTF can alleviate RA by inhibiting the formation of NETs.

Objective To construct machine learning models that can be used to predict AUC fold change(FC)using a database of existing pharmacokinetic(PK)and drug-drug interaction(DDI)information,which can be used to explore the possibility of predicting existing drug interactions and to provide certain rational recommendations for clinical drug use.Methods PK data of DDIs and AUC fold change data were extracted from FDA-approved drug labels.Peptide and pharmacodynamic(PD)information related to drug interactions were retrieved through DrugBank,and PPDT identification of relevant peptide IDs was performed using Protein Resource(UniProt),and a matrix normalization code was used to generate multidimensional vector data that were easy to analysis.The effect of PPDT on the AUC,and the resulting multiplicity change was used as the dependent variable for machine learning model construction.The model with the smallest root mean square error(RMES)value was used for model construction to train a bagged decision tree(Bagged)prediction model.The models were tested using the trained models for some of the drug tests.The models were evaluated by reviewing the available literature findings on detection of drug interaction pairs and analyzing and comparing the predicted values.Results A total of 16 pairs of model drug pairs were tested for the effects of 16 drugs on tacrolimus,and it was found that the accuracy of the prediction of the presence or absence of drug interactions was 81.25％;the prediction results were classified according to the FDA standard classification of the strong and weak for the strength of drug interactions,and the results showed that the prediction of the strength of drug interactions,with a large deviation from the larger prediction was less.Conclusion The evaluation of the model to predict the presence or absence of drug interactions was general;however,after classifying the strengths and weaknesses of drug interactions,the prediction of drug interactions was better,and the prediction results indicated that the model prediction performance has a certain reference value for potential DDI assessment before clinical trials.

Objective:To analyze the disease burden in middle-aged and elderly population aged ≥55 in Shenzhen from 2016 to 2030 and provide evidence for the development of healthy aging strategies.Methods:The years of life lost (YLL), years lost due to disability (YLD), and the disability-adjusted life year (DALY) in this population from 2016 to 2022 were calculated. Joinpoint log-linear regression model was used to analyze the time trend. Bayesian age-period-cohort model and grey system model were used to predict YLL, YLD, and DALY in this population in 2030.Results:From 2016 to 2022, the crude DALY rate showed a transient fluctuation in age group 55-74 years, but a pronounced increase in age group ≥85 years. The proportions of YLL and YLD due to non-communicable diseases in all age groups was considerably higher than those due to communicable and nutritional diseases and injuries. In 2022, in all age groups, the YLL due to neoplasms (55-74 years old) and cardiovascular disease (≥75 years old) ranked first, and the YLD due to musculoskeletal disorder ranked first. By 2030, the causes of YLL and YLD ranking first in each age group would be remained, while the ranks of some causes would increase.Conclusions:The age specific characteristics of current and predicted disease burden differed in individuals aged ≥55 years. Therefore, it is necessary to allocate social and medical resources according to the disease burden pattern.

The study focused on individuals with influenza-like symptoms (fever, cough, sore throat, runny nose, and other respiratory symptoms) in three kindergartens in Tongzhou District, Beijing City, in April 2023. Nasopharyngeal swab specimens were collected, and real-time fluorescent quantitative PCR was used to detect common respiratory pathogens in the collected specimens. Positive specimens were subjected to sequencing analysis of the highly variable region of human respiratory syncytial virus (HRSV) G protein, homology analysis and phylogenetic tree analysis. A total of 25 fever cases were collected from 3 kindergartens, aged 3-8 years old, with an age M ( Q1, Q3) of 4 (3.5, 5) years old. Ten confirmed cases of HRSV positive were screened and detected using the fluorescent quantitative PCR method, with a total detection rate of 40% (10/25). Typing identification and sequencing analysis confirmed that the main epidemic type was HRSV subtype B, which was highly homologous and closely related to previous epidemic strains in the region. Through pathogen investigation and analysis, it was preliminarily determined that this epidemic was dominated by HRSV subtype B.