Objective To explore the medication rules of Professor Hua Baojin in the treatment of subsolid pulmonary nodules through retrospective analysis and data mining techniques. Methods The prescriptions of patients with subsolid pulmonary nodules who were diagnosed and treated by Professor Hua Baojin at Guang’anmen Hospital of the Chinese Academy of Chinese Medical Sciences from January 1, 2021 to December 31, 2024 were retrospectively collected. Data were imported into the Ancient and Modern Medical Case Cloud Platform for analysis of drug frequency, four natures and five flavors, meridian tropism, drug association, and hierarchical clustering. Results A total of 455 prescriptions were included, containing 205 kinds of traditional Chinese medicines, with a total frequency of 12048 times. Fifty-seven commonly used drugs were screened out, among which drugs with high frequencies included astragalus membranaceus (raw) and hawthorn fruit (charred). The nature of the drugs was mainly warm, cold, and neutral. The flavor of the drugs was mostly sweet, bitter, and pungent. The meridians they belonged to mainly included the lung, spleen, and liver meridians. Their efficacy was mainly tonifying deficiency, clearing heat, resolving phlegm, and relieving cough and asthma. Association analysis obtained 19 pairs of drug combinations, 21 groups of three-drug combinations, and four groups of four-drug combinations. Hierarchical clustering obtained 10 groups of drug combinations. Conclusion On the basis of the core pathogenesis of subsolid pulmonary nodule, Professor Hua applies the theory of regulating qi and detoxifying; regulating the qi of the liver, spleen, and lung; and detoxifying the toxins of phlegm and blood stasis, providing valuable experience for the clinical treatment of SSN.

Objective To establish a candidate reference measurement procedure for the detection of serum 25-hydroxy vitamin D3[25(OH)D3]based on isotope dilution liquid chromatography tandem mass spectrometry(LC-MS/MS).Methods Isotope standard solution was used as internal standard,liquid-liquid extraction was used for pre-treatment,and positive ion electrospray ionization mode was used for monitoring.The accuracy,precision,linear range,limit of quantitation,detection limit and relative matrix effect of method were verified based on documents of the America Clinical and Laboratory Standards Institute(CLSI)such as C62-A and EP15-A3.Candidate reference measurement procedure and mass spectrometry routine procedure were used to detect 40 clinical serum samples,and to evaluate the consistency of the two methods.Results The analysis time of the candidate method was 15 min.Isometric elution of chromatography was used to effectively separate the isomer 3-epi-25(OH)D3,with good specificity.RELA comparison sample was measured,with a bias of less than 1.5%.The intra-batch precision and inter-batch precision ranged from 0.75%to 2.31%and 1.28%to 2.01%,respectively.The limits of quantification and detection were 0.85 ng/ml and 1.84 ng/ml.It had good linearity in the concentration range of 2.5～220 ng/ml,and there was no relative matrix effect and carrier contamination.The correlation between the mass spectrometry routine procedure and candidate reference procedure was good(r=0.982),while the deviation at low concentration samples exceeded the allowable total error±25%in the external quality assessment of the National Center for Clinical Laboratories.Conclusion A candidate reference measurement procedure for serum 25(OH)D3 technology based on LC-MS/MS was successfully established,and the analytical performance met the requirements,which could be used for quantitative traceability by clinical conventional methods.

The individualized precision management of hereditary pheochromocytoma (PHEO) and paraganglioma (PGL) syndromes (PPGLs) based on molecular diagnosis and molecular subtype is becoming more popular. The newly discovered MAX germline mutation-associated PPGLs are autosomally dominant and rare. To raise awareness and explore the effective management of individual diagnosis and treatment, the relevant literature published between January 2011 and February was systematically reviewed. There were a total of 101 patients in the 77 families, involving all 5 exons, containing 44 types of MAX germline mutations and mostly concentrated in exons 3 and 4 (64.4%), the main mutations were nonsense mutations and missense mutations (72.3%), and some were large fragment deletions or insertions, intron variant, gene fusion mutations were relatively infrequent. Furthermore, about 10% of the patients had a paternal parent-of-origin effect. Among the 101 patients, 96 (95.0%) developed PHEO including 15 metastatic PHEO, 61 bilateral PHEO and 35 unilateral PHEO. The age of diagnosis was (31.7±10.9) years (range: 13 to 80 years). The male to female ratio was 1.2∶1. Eleven were accompanied with chest and abdominal PGL. Eight (7.9%) were accompanied by functional pituitary adenoma. And 12 (11.9%) developed other neuroendocrine tumors (NET), of which 8 were accompanied by PHEO, including 4 hyperparathyroidism, 1 gangliocytoma and neuroblastoma, 1 pancreatic NET, 1 medullary thyroid carcinoma and 1 C cell hyperplasia. Six presented concomitant non-NET, including 1 tongue squamous cell carcinoma, 1 papillary thyroid carcinoma, 1 prostate cancer, 1 renal oncocytoma, 1 breast cancer with renal oncocytoma, and 1 thoracic chondrosarcoma with multifocal adenocarcinoma of lung. The remaining 5 cases (5.0%), including 4 other NET (2 ganglioblastoma, 1 abdominal neuroblastoma and 1 pancreatic NET) and 1 asymptomatic child, did not present PHEO. The MAX germline mutation may cause a novel multiple endocrine neoplasia, which can be described as type 5. A comprehensive baseline assessment of neural crest cell-derived diseases such as PPGL, pituitary adenoma, hyperparathyroidism, and/or gangliocytoma (neuroblastoma) was recommended for all people with MAX germline mutations, and the risk of bilateral and/or metastatic PHEO should also be considered. In contrast, patients with PPGLs combined with other NET, such as functional pituitary adenoma, should undergo genetic testing and pedigree screening that includes at least the MAX gene.

Objective:To determine the total and age-specific cut-off values of total prostate specific antigen (tPSA) and the ratio of free PSA divided total PSA (fPSA/tPSA) for screening prostate cancer in China.Methods:Based on the Chinese Colorectal, Breast, Lung, Liver, and Stomach cancer Screening Trial (C-BLAST) and the Tianjin Common Cancer Case Cohort (TJ4C), males who were not diagnosed with any cancers at baseline since 2017 and received both tPSA and fPSA testes were selected. Based on Cox regression, the overall and age-specific (＜60, 60-＜70, and ≥70 years) accuracy and optimal cut-off values of tPSA and fPSA/tPSA ratio for screening prostate cancer were evaluated with time-dependent receiver operating characteristic curve (tdROC) and area under curve (AUC). Bootstrap resampling was used to internally validate the stability of the optimal cut-off value, and the PLCO study was used to externally validate the accuracy under different cut-off values.Results:A total of 5 180 participants were included in the study, and after a median follow-up of 1.48 years, a total of 332 prostate cancer patients were included. In the total population, the tdAUC of tPSA and fPSA/tPSA screening for prostate cancer were 0.852 and 0.748, respectively, with the optimal cut-off values of 5.08 ng/ml and 0.173, respectively. After age stratification, the age specific cut-off values of tPSA in the <60, 60-<70, and ≥70 age groups were 3.13, 4.82, and 11.54 ng/ml, respectively, while the age-specific cut-off values of fPSA/tPSA were 0.153, 0.135, and 0.130, respectively. Under the age-specific cut-off values, the sensitivities of tPSA screening for prostate cancer in males <60, 60-70, and ≥70 years old were 92.3%, 82.0%, and 77.6%, respectively, while the specificities were 84.7%, 81.3%, and 75.4%, respectively. The age-specific sensitivities of fPSA/tPSA for screening prostate cancer were 74.4%, 53.3%, and 55.9%, respectively, while the specificities were 83.8%, 83.7%, and 83.7%, respectively. Both bootstrap's internal validation and PLCO external validation provided similar results. The combination of tPSA and fPSA/tPSA could further improve the accuracy of screening.Conclusion:To improve the screening effects, it is recommended that age-specific cut-off values of tPSA and fPSA/tPSA should be used to screen for prostate cancer in the general risk population.

The individualized precision management of hereditary pheochromocytoma (PHEO) and paraganglioma (PGL) syndromes (PPGLs) based on molecular diagnosis and molecular subtype is becoming more popular. The newly discovered MAX germline mutation-associated PPGLs are autosomally dominant and rare. To raise awareness and explore the effective management of individual diagnosis and treatment, the relevant literature published between January 2011 and February was systematically reviewed. There were a total of 101 patients in the 77 families, involving all 5 exons, containing 44 types of MAX germline mutations and mostly concentrated in exons 3 and 4 (64.4%), the main mutations were nonsense mutations and missense mutations (72.3%), and some were large fragment deletions or insertions, intron variant, gene fusion mutations were relatively infrequent. Furthermore, about 10% of the patients had a paternal parent-of-origin effect. Among the 101 patients, 96 (95.0%) developed PHEO including 15 metastatic PHEO, 61 bilateral PHEO and 35 unilateral PHEO. The age of diagnosis was (31.7±10.9) years (range: 13 to 80 years). The male to female ratio was 1.2∶1. Eleven were accompanied with chest and abdominal PGL. Eight (7.9%) were accompanied by functional pituitary adenoma. And 12 (11.9%) developed other neuroendocrine tumors (NET), of which 8 were accompanied by PHEO, including 4 hyperparathyroidism, 1 gangliocytoma and neuroblastoma, 1 pancreatic NET, 1 medullary thyroid carcinoma and 1 C cell hyperplasia. Six presented concomitant non-NET, including 1 tongue squamous cell carcinoma, 1 papillary thyroid carcinoma, 1 prostate cancer, 1 renal oncocytoma, 1 breast cancer with renal oncocytoma, and 1 thoracic chondrosarcoma with multifocal adenocarcinoma of lung. The remaining 5 cases (5.0%), including 4 other NET (2 ganglioblastoma, 1 abdominal neuroblastoma and 1 pancreatic NET) and 1 asymptomatic child, did not present PHEO. The MAX germline mutation may cause a novel multiple endocrine neoplasia, which can be described as type 5. A comprehensive baseline assessment of neural crest cell-derived diseases such as PPGL, pituitary adenoma, hyperparathyroidism, and/or gangliocytoma (neuroblastoma) was recommended for all people with MAX germline mutations, and the risk of bilateral and/or metastatic PHEO should also be considered. In contrast, patients with PPGLs combined with other NET, such as functional pituitary adenoma, should undergo genetic testing and pedigree screening that includes at least the MAX gene.

Objective:To determine the total and age-specific cut-off values of total prostate specific antigen (tPSA) and the ratio of free PSA divided total PSA (fPSA/tPSA) for screening prostate cancer in China.Methods:Based on the Chinese Colorectal, Breast, Lung, Liver, and Stomach cancer Screening Trial (C-BLAST) and the Tianjin Common Cancer Case Cohort (TJ4C), males who were not diagnosed with any cancers at baseline since 2017 and received both tPSA and fPSA testes were selected. Based on Cox regression, the overall and age-specific (＜60, 60-＜70, and ≥70 years) accuracy and optimal cut-off values of tPSA and fPSA/tPSA ratio for screening prostate cancer were evaluated with time-dependent receiver operating characteristic curve (tdROC) and area under curve (AUC). Bootstrap resampling was used to internally validate the stability of the optimal cut-off value, and the PLCO study was used to externally validate the accuracy under different cut-off values.Results:A total of 5 180 participants were included in the study, and after a median follow-up of 1.48 years, a total of 332 prostate cancer patients were included. In the total population, the tdAUC of tPSA and fPSA/tPSA screening for prostate cancer were 0.852 and 0.748, respectively, with the optimal cut-off values of 5.08 ng/ml and 0.173, respectively. After age stratification, the age specific cut-off values of tPSA in the <60, 60-<70, and ≥70 age groups were 3.13, 4.82, and 11.54 ng/ml, respectively, while the age-specific cut-off values of fPSA/tPSA were 0.153, 0.135, and 0.130, respectively. Under the age-specific cut-off values, the sensitivities of tPSA screening for prostate cancer in males <60, 60-70, and ≥70 years old were 92.3%, 82.0%, and 77.6%, respectively, while the specificities were 84.7%, 81.3%, and 75.4%, respectively. The age-specific sensitivities of fPSA/tPSA for screening prostate cancer were 74.4%, 53.3%, and 55.9%, respectively, while the specificities were 83.8%, 83.7%, and 83.7%, respectively. Both bootstrap's internal validation and PLCO external validation provided similar results. The combination of tPSA and fPSA/tPSA could further improve the accuracy of screening.Conclusion:To improve the screening effects, it is recommended that age-specific cut-off values of tPSA and fPSA/tPSA should be used to screen for prostate cancer in the general risk population.

Objective:To explore the molecular mechanism of cell death of the peripheral blood mononuclear cells (PBMCs) of patients with primary gouty arthritis, and provide new idea for the treatment of gout.Methods:Peripheral blood samples and clinical data were collected from 30 patients with acute gout (AG), 30 patients with intermittent gout (IG) and 40 healthy controls(HC). Real-time fluorescence quantitative detection of cell apoptosis related molecules, including the mRNA expression level of nucleotide binding oligomerization domain like domain like receptor protein 3(NLRP3), cysteine aspartic proteinase-1/4/5 (caspase-1/4/5), Gasdermin A/B/C/E. And NLRP3, precursor caspase-1 (pro-caspase-1), clipped caspase-1 (caspase-1 + p10), Gasdermin D(GSDMD), N segment GSDMD (GSDMD-N), precursor IL-1β (pro IL-1β), mature IL-1β (clevated IL-1β)were detected by western blot. The measurement data of normal or approximate normal distribution were analyzed by independent sample t test or one-way variance analysis (ANOVA), the measurement data of non-normal distribution were analyzed by Mann-Whitney U test or Kruskal-Wallis H test, and the counting data was compared by Chi-square test. Pearson's correlation analysis was used for the continuous variables with normal distribution, and Spearman's correlation analysis was used for the continuous variables with non-normal distribution. The logistic regression analysis was used to assess risk factors. Results:① There were no significant differences in MPR and BMI between AG and IG ( χ2=0.64, P=0.426; t=0.04, P=0.972), and there was significant difference in disease course [25.0 (9.8, 63.0), 54.0 (33.0, 102.0)mouth, Z=2.01, P=0.044]. Comparison of labora-tory parameters: there were statistical significant differences in ESR between AG and IG ( t=5.24, P<0.001), eGFR, GR, LY, RBC, HCT, UA, Creatinin, ALT and AST. ② In the three groups, the expression lev-els of caspase-1, GSDMC, GSDMD, GSDME, NLRP3 mRNA were statistically significantly different. In AG and IG groups, mRNA expression levels of caspase-1 (1.55±0.62), (1.58±0.62), GSDMD (4.7±1.4), (3.5±1.53), NLRP3 [2.63(2.03, 4.10), 2.39(1.57, 3.49)] were higher than those of the HC group [(1.24±0.59), 1.16±0.71, 1.16 (0.50, 2.34)] ( P=0.037, P=0.023, P<0.001, P<0.001, P<0.001, P<0.001). In IG group, mRNA expression levels of GS-DMD (3.53±1.53) were lower than those of AG group (4.68±1.43) ( P<0.001).The mRNA expression levels of GS-DMC and GSDME [0.57(0.33, 0.78), (0.32±0.15)]were lower than those of the HC group [0.80 (0.47, 1.86), (1.06 ± 0.36) ( P=0.004, P<0.001), and the mRNA expression levels of GSDME (0.62±0.29) in the IG group were lower ( P=0.004, P<0.001), However, in the IG group, GSDMC and GSDME [0.87 (0.51, 1.53), (0.62±0.29)] were higher than those in the AG group [0.57 (0.33, 0.78), (0.32±0.15)] ( P=0.003, P<0.001). ③ The expression levels of NLRP3, pro-caspase-1, caspase-1 + p10, GSDMD, GSDMD-N, pro-IL-1β, clevated IL-1β protein were statistically different among the three groups [( F=50.04, P<0.001; F=9.65, P=0.013; F=30.71, P=0.001; F=7.38, P=0.024; F=23.66, P=0.001; F=30.11, P=0.001; F=6.01, P=0.036]. The expression of NLRP3 protein in the AG group (1.14±0.12) was significantly higher than that in the IG and HC group (0.35±0.18), (0.17±0.03) (all P=0.001), the expression levels of Pro caspase-1, caspase-1+p10 protein in the AG (1.11±0.15), (0.93±0.38) and IG (0.98±0.14), (1.14±0.17) group were higher than those in the HC (0.42±0.28), (0.29±0.16) ( P=0.006, P=0.015). The expression levels of GSDMD protein in the AG group (1.04±0.16) were higher than those in the IG and HC group(0.53±0.26), (0.39±0.22) ( P=0.029, P=0.011). The expression level of GSDMD-N protein in the AG and IG group (0.97±0.06), (0.90±0.04) was higher than that in the HC (0.27±0.23) ( P=0.001, P=0.001). The expression level of pro-IL-1β protein in the AG group (1.01±0.06) was significantly higher than that in the IG and HC group (0.32±0.14), (0.64±0.11) ( P<0.001, P=0.006), but lower than that in the HC (0.64±0.11) ( P=0.011). The expression of clevated IL-1β protein was higher in the AG group (1.08±0.20) than in the HC group (0.33±0.24) ( P=0.014). ④ Negative correlation between NLRP3, GSDMD and LY ( r=-0.32, P=0.001; r=-0.24, P=0.017) and positive correlation between GSDMD and WBC, GR ( r=0.43, P<0.001; r=0.23, P=0.019) were found and Logistic regression analysis showed that the GSDMD and NLRP3 were risk factors for AG [ OR ( 95%CI)=11.29 (3.92, 32.48), P<0.001; OR( 95%CI)=2.21(1.00, 4.85), P=0.049]. GSDMD was risk factor for IG [ OR( 95%CI)=6.84(2.52, 18.53), P<0.001]; While GSDMD was the protective factor for IG [ OR( 95%CI)=0.61(0.41, 0.30), P=0.013]. Conclusion:The expression's of NLRP3, Caspase-1 and GSDMD are increased in PBMCs of AG patients, while the expression's of GSDMC and GSDME are decreased. NLRP3/Caspase-1/GSDMD may be associated with the onset of acute gouty arthritis.

In this study,a functionalized covalent-organic framework(COF)was first synthesized using porphyrin as the fabrication unit and showed an edge-curled,petal-like and well-ordered structure.The synthesized COF was then introduced to prepare porous organic polymer monolithic materials(POPMs).Two com-posite POPM/COF monolithic materials with rod shapes,referred to as sorbent A and sorbent B,were prepared in stainless steel tubes using different monomers.Sorbents A and B exhibited relatively uniform porous structures and enhanced specific surface areas of 153.14 m2/g and 80.01 m2/g,respectively.The prepared composite monoliths were used as in-tube solid-phase extraction(SPE)sorbents combined with HPLC for the on-line extraction and quantitative analytical systems.Indole alkaloids(from Catharanthus roseus G.Don and Uncaria rhynchophylla(Miq.)Miq.Ex Havil.)contained in mouse plasma were extracted and quantitatively analyzed using the online system.The two composite multifunctional monoliths showed excellent clean-up ability for complex biological matrices,as well as superior selec-tivity for target indole alkaloids.Method validation showed that the RSD values of the repeatability(n=6)were≤3.46％,and the accuracy expressed by the spiked recoveries was in the ranges of 99.38％-100.91％and 96.39％-103.50％for vinca alkaloids and Uncaria alkaloids,respectively.Furthermore,sorbents A and B exhibited strong reusability,with RSD values≤5.32％,which were based on the peak area of the corresponding alkaloids with more than 100 injections.These results indicate that the composite POPM/COF rod-shaped monoliths are promising media as SPE sorbents for extracting trace compounds in complex biological samples.

Objective:To construct a plan for relieving fatigue in breast cancer patients undergoing chemotherapy.Methods:We combined literature and clinical experience to construct a fatigue relief plan for breast cancer chemotherapy patients from August to October 2020. A total of 21 domestic two-glandular surgeons, nursing experts, and surgical nursing teachers were invited to conduct 2 rounds of Delphi expert letter inquiries, and analyzed the positive coefficient of experts and the degree of expert authority to evaluate the reliability of experts, and evaluated the coordination degree of expert opinions through the coefficient of variation and Kendall's harmony coefficient.Results:The effective response rate of the two rounds of questionnaires was 100%, the enthusiasm coefficient of experts was very high. The authority coefficients of the 2 rounds of consulting experts were 0.89 and 0.90 respectively (all>0.7), expert authority coefficient was very high. The Kendall harmony coefficients of the first-level and second-level indicators in the first round were 0.160 and 0.086, statistically significant (all P<0.05). In the second round, the Kendall′s harmony coefficients of dimension, first-level and second-level indicators were 0.190, 0.211, 0.378, statistically significant (all P<0.05). The coefficient of variation of each item in the second round was 0.04-0.12, and the full score rate was 28.57%-95.24%. All met the index screening standards established by the scheme. Finally, 3 dimensions, 3 first-level indicators and 16 third-level indicators were determined. Conclusions:The fatigue relief plan for breast cancer chemotherapy patients has necessity, practicality and scientificity.It has guiding significance for standardizing the fatigue relief of patients undergoing chemotherapy after radical mastectomy.

Objective:To explore the application value of artificial intelligence-assisted diagnosis model based on convolutional neural network (CNN) in the differential diagnosis of benign and malignant breast masses.Methods:A total of 10 490 images of 2 098 patients with breast lumps (including 1 132 cases of benign tumor, 779 cases of malignant tumor, 32 cases of inflammation, 155 cases of adenosis) were collected from January 2016 to January 2018 in Beijing Tiantan Hospital Affiliated to the Capital University of Medical Sciences. They were divided into training set and test set and the auxiliary artificial intelligence diagnosis model was used for training and testing. Two sets of data training models were compared by two-dimensional imaging (2D) and two-dimensional and color Doppler flow imaging (2D-CDFI). The ROC curves of benign breast tumors, malignant tumors, inflammation and adenopathy were analyzed, and the area under the ROC curve (AUC) were calculated.Results:The accuracies of 2D-CDFI ultrasonic model for training group and testing group were significantly improved. ①For benign tumors, the result from training set with 2D image was: sensitivity 92%, specificity 95%, AUC 0.93; the result from training set with 2D-CDFI images was: sensitivity 93%, specificity 95%, AUC 0.93; the result for test set with 2D images was: sensitivity 91%, specificity 96%, AUC 0.94; the result for test set with 2D-CDFI images was: sensitivity 93%, specificity: 94%, AUC 0.94. ② For malignancies, the result for training set with 2D images was: sensitivity 93%, specificity 97%, AUC 0.94; the result for training set with 2D-CDFI images was: sensitivity 93%, specificity 96%, AUC 0.94; the result for test set with 2D images was: sensitivity 93%, specificity 96%, AUC 0.94; the result for test set with 2D-CDFI images was: sensitivity 93%, specificity 96%, AUC 0.94. ③For inflammation, the result for training set with 2D images was: sensitivity 81%, specificity 99%, AUC 0.91; the result for training set with 2D-CDFI images was: sensitivity 86%, specificity 99%, AUC 0.89; the result for test set with 2D images was: sensitivity 100%, specificity 98%, AUC 0.98; the result for test set with 2D-CDFI images was: sensitivity 100%, specificity 99%, AUC 0.96. ④For adenopathy, the result for training set with 2D images was: sensitivity 88%, specificity 97%, AUC 0.94; the result for training set with 2D-CDFI images was: sensitivity 93%, specificity 98%, AUC 0.94; the result for test set with 2D images was: sensitivity 94%, specificity 98%, AUC 0.93; the result for test set with 2D-CDFI images was: sensitivity 88%, specificity 99%, AUC 0.90. Its diastolic accuracy was not affected even if the maximum diameter of the tumor was less than 1 cm.Conclusions:Through the deep learning of artificial intelligence based on CNN for breast masses, it can be more finely classified and the diagnosis rate can be improved. It has potential guiding value for the treatment of breast cancer patients.