ObjectiveTo explore the mechanism by which Sini San （SNS） inhibits ferroptosis， alleviates inflammation and myocardial injury， and improves myocardial infarction （MI）. MethodsThe active ingredients of SNS were obtained by searching the Traditional Chinese Medicine System Pharmacology Platform （TCMSP） database， its target sites were predicted using the SwissTargetPrediction Database， and the core components were screened out using the CytoNCA plug-in. The targets of MI and ferroptosis were obtained by using GeneCards， Online Mendelian Inheritance in Man （OMIM） database， DrugBank， Therapeutic Target Database （TTD）， FerrDb database and literature review， respectively. The intersection of these targets of SNS-MI-ferroptosis was plotted as a Venn diagram. The protein-protein interaction （PPI） network was constructed using the STRING database， and the visualization graph was prepared using Cytoscape. The core targets were screened out using the CytoNCA plug-in， and the biological functions were clustered by the MCODE plug-in. Gene Ontology （GO） functional enrichment analysis and Kyoto Encyclopedia of Genes and Genomes （KEGG） pathway enrichment analysis were performed using the David database. Molecular docking was performed using AutoDock and visualized with PyMOL2.5.2. The Kunming mice were randomly divided into the control group， the model group， the SNS group， and the trimetazidine （TMZ） group. The mice were subcutaneously injected with isoprenaline （ISO， 5 mg·kg^-1·d^-1） to establish an MI model. The drug was continuously intervened for 7 days. The ST-segment changes were recorded by electrocardiogram （ECG）， and the tissue morphology changes were observed by hematoxylin-eosin （HE） staining. Cardiomyocyte ferroptosis was investigated by transmission electron microscopy. Serum creatine kinase （CK）， creatine kinase isoenzyme （CK-MB）， lactate dehydrogenase （LDH）， reduced glutathione （GSH）， and malondialdehyde （MDA） levels were detected by biochemical assay. Enzyme-linked immunosorbent assay （ELISA） was used to detect serum levels of interleukin （IL）-6 and 4-hydroxynonenal （4-HNE）. Immunohistochemical staining was employed to detect IL-6 and phosphorylated signal transducer and transcription activator 3 （p-STAT3） in cardiac tissues. Western blot was used to detect STAT3 and p-STAT3 in cardiac tissues. Real-time PCR was used to detect the levels of IL-6， IL-18， solute carrier family 7 member 11 （SLC7A11）， arachidonic acid 15-lipoxygenase （ALOX15）， and glutathione peroxidase 4 （GPx4） in cardiac tissues. ResultsA total of 121 active ingredients of SNS were obtained， and 58 potential targets of SNS in the treatment of MI by regulating ferroptosis were screened. The three protein modules with a score5 were mainly related to the inflammatory response. The GO function was mainly related to inflammation， and KEGG enrichment analysis showed that SNS mainly regulated ferroptosis- and inflammation- related signaling pathways. Molecular docking indicated that the core component had a higher binding force to the target site. Animal experiments confirmed that SNS reduced the level of p-STAT3 （P0.01）， down-regulated the expression of ALOX15 mRNA （P0.01）， up-regulated the level of serum GSH， and the expressions of SLC7A11 and GPx4 mRNA， reduced MDA and 4-HNE levels （P0.05， P0.01）. Additionally， SNS improved the mitochondrial injury induced by cardiomyocyte ferroptosis， reduced the area of MI， alleviated inflammation and myocardial injury， lowered the levels of serum CK， CK-MB， LDH， IL-6， and the mRNA expression levels of IL-16 and IL-18 （P0.05）， and improved ST segment elevation. ConclusionSNS can reduce ISO-induced STAT3 phosphorylation levels， inhibit ferroptosis in cardiomyocytes， alleviate inflammation and myocardial injury， thereby improving MI.

ObjectiveTo explore the mechanism by which Sini San （SNS） inhibits ferroptosis， alleviates inflammation and myocardial injury， and improves myocardial infarction （MI）. MethodsThe active ingredients of SNS were obtained by searching the Traditional Chinese Medicine System Pharmacology Platform （TCMSP） database， its target sites were predicted using the SwissTargetPrediction Database， and the core components were screened out using the CytoNCA plug-in. The targets of MI and ferroptosis were obtained by using GeneCards， Online Mendelian Inheritance in Man （OMIM） database， DrugBank， Therapeutic Target Database （TTD）， FerrDb database and literature review， respectively. The intersection of these targets of SNS-MI-ferroptosis was plotted as a Venn diagram. The protein-protein interaction （PPI） network was constructed using the STRING database， and the visualization graph was prepared using Cytoscape. The core targets were screened out using the CytoNCA plug-in， and the biological functions were clustered by the MCODE plug-in. Gene Ontology （GO） functional enrichment analysis and Kyoto Encyclopedia of Genes and Genomes （KEGG） pathway enrichment analysis were performed using the David database. Molecular docking was performed using AutoDock and visualized with PyMOL2.5.2. The Kunming mice were randomly divided into the control group， the model group， the SNS group， and the trimetazidine （TMZ） group. The mice were subcutaneously injected with isoprenaline （ISO， 5 mg·kg^-1·d^-1） to establish an MI model. The drug was continuously intervened for 7 days. The ST-segment changes were recorded by electrocardiogram （ECG）， and the tissue morphology changes were observed by hematoxylin-eosin （HE） staining. Cardiomyocyte ferroptosis was investigated by transmission electron microscopy. Serum creatine kinase （CK）， creatine kinase isoenzyme （CK-MB）， lactate dehydrogenase （LDH）， reduced glutathione （GSH）， and malondialdehyde （MDA） levels were detected by biochemical assay. Enzyme-linked immunosorbent assay （ELISA） was used to detect serum levels of interleukin （IL）-6 and 4-hydroxynonenal （4-HNE）. Immunohistochemical staining was employed to detect IL-6 and phosphorylated signal transducer and transcription activator 3 （p-STAT3） in cardiac tissues. Western blot was used to detect STAT3 and p-STAT3 in cardiac tissues. Real-time PCR was used to detect the levels of IL-6， IL-18， solute carrier family 7 member 11 （SLC7A11）， arachidonic acid 15-lipoxygenase （ALOX15）， and glutathione peroxidase 4 （GPx4） in cardiac tissues. ResultsA total of 121 active ingredients of SNS were obtained， and 58 potential targets of SNS in the treatment of MI by regulating ferroptosis were screened. The three protein modules with a score5 were mainly related to the inflammatory response. The GO function was mainly related to inflammation， and KEGG enrichment analysis showed that SNS mainly regulated ferroptosis- and inflammation- related signaling pathways. Molecular docking indicated that the core component had a higher binding force to the target site. Animal experiments confirmed that SNS reduced the level of p-STAT3 （P0.01）， down-regulated the expression of ALOX15 mRNA （P0.01）， up-regulated the level of serum GSH， and the expressions of SLC7A11 and GPx4 mRNA， reduced MDA and 4-HNE levels （P0.05， P0.01）. Additionally， SNS improved the mitochondrial injury induced by cardiomyocyte ferroptosis， reduced the area of MI， alleviated inflammation and myocardial injury， lowered the levels of serum CK， CK-MB， LDH， IL-6， and the mRNA expression levels of IL-16 and IL-18 （P0.05）， and improved ST segment elevation. ConclusionSNS can reduce ISO-induced STAT3 phosphorylation levels， inhibit ferroptosis in cardiomyocytes， alleviate inflammation and myocardial injury， thereby improving MI.

Objective To determine the content and distribution characteristics of the artificial radionuclide ¹³⁷Cs and the natural radionuclides ²¹⁰Pb, ²²⁶Ra, ²²⁸Ra, and ⁴⁰K in wild edible fungi, and calculate the committed effective dose due to ¹³⁷Cs and ²¹⁰Pb in wild edible fungi. Methods Thirty samples of wild edible fungi were collected and their caps and stems were separated. A total of 60 samples were measured for ¹³⁷Cs, ²¹⁰Pb, ²²⁶Ra, ²²⁸Ra, and ⁴⁰K using a BE5030 wide-energy, low-background, high-purity germanium γ spectrometer. The paired analysis of the four radionuclides ²²⁶Ra, ²¹⁰Pb, ¹³⁷Cs, and ⁴⁰K was performed using SPSS 11.5. Results Among the 60 samples, the detection rates and dry weight specific activity ranges of ¹³⁷Cs, ²¹⁰Pb, ²²⁶Ra, ²²⁸Ra, and ⁴⁰K were 97% and 0.62-384 Bq/kg, 73% and 6.4-159 Bq/kg, 52% and 0.7-28.8 Bq/kg, 5% and 0.43-2.18 Bq/kg and 100% and （77.4-264) × 10 Bq/kg, respectively. Conclusion Based on the analysis of the 60 samples, the detection rate of radionuclides is in the order of ⁴⁰K, ¹³⁷Cs, ²¹⁰Pb, ²²⁶Ra, and ²²⁸Ra. In terms of the specific activity, the distribution of ⁴⁰K and ²²⁶Ra in wild edible fungi in the same region is basically uniform, while the content of ²¹⁰Pb and ¹³⁷Cs fluctuates in different samples. Although ¹³⁷Cs and ²¹⁰Pb can be detected in most of the wild edible fungi, the annual committed effective dose due to ingestion of wild edible fungi is negligible.

OBJECTIVES: To evaluate the clinical efficacy of hospital-prepared Chinese medicine Feigan granules for influenza patients. This study has been registered at the International Traditional Medicine Clinical Trial Registry platform (ITMCTR2025000162). METHODS: A prospective observational study was conducted on influenza patients who visited the Fever Clinic of the First Affiliated Hospital, Zhejiang University School of Medicine between February and March 2024. Patients were divided into the observation group (Feigan granules combined with conventional Western medicine) and the control group (conventional Western medicine). Main symptoms (including fever, cough and sore throat) and secondary symptoms (including chest tightness, poor appetite, muscle soreness and dry mouth) were evaluated with traditional Chinese medicine (TCM) symptom scale on the first day of the patient's visit and the third day after treatment. The degrees of improvement in the TCM symptom scores before and after treatment were compared using paired rank-sum test, and the differences in the overall symptom efficacy index between two groups were compared using the Wilcoxon test. RESULTS: A total of 217 influenza patients were included. After treatment, the TCM symptom scores of both groups were significantly improved compared with those before treatment (all P<0.01). The median differences in the main symptom score before and after treatment in the observation and the control groups were 7 points (95%CI: 6.0-8.0) and 6 points (95%CI: 6.0-8.0), respectively. The median difference in the secondary symptom score was 3 points (95%CI: 2.0-4.0) in both groups. The median differences in the total score were 9 points (95%CI: 8.0-10.5) and 8 points (95%CI: 7.0-10.0) in the observation and control groups, respectively. In the subgroup with an initial cough score >2, the improvement rates of total score (97.06% vs. 92.59%) and secondary symptoms (92.31% vs. 85.11%) in observation group were significantly higher than those in the control group (P<0.05); while there was no significant difference in the improvement rate of the main symptoms (95.59% vs. 90.74%, P>0.05). CONCLUSIONS Feigan granules can improve the TCM syndromes of influenza patients, especially for patients with more severe cough.
Humans ; Prospective Studies ; Influenza, Human/drug therapy* ; Medicine, Chinese Traditional/methods* ; Drugs, Chinese Herbal/therapeutic use* ; Female ; Male ; Middle Aged ; Adult ; Aged ; Adolescent ; Young Adult ; Treatment Outcome

BACKGROUND: The mechanisms distinguishing metabolically healthy from unhealthy phenotypes within the same BMI categories remain unclear. This study aimed to investigate the associations between regional fat distribution and metabolically unhealthy phenotypes in Chinese adults across different BMI categories. METHODS: This cross-sectional study involving 11833 Chinese adults aged 20 years and older. Covariance analysis, adjusted for age, compared the percentage of regional fat (trunk, leg, or arm fat divided by whole-body fat) between metabolically healthy and unhealthy participants. Trends in regional fat percentage with the number of metabolic abnormalities were assessed by the Jonckheere-Terpstra test. Odds ratios (ORs) and their 95% confidence intervals (CIs) were estimated by logistic regression models. All analyses were performed separately by sex. RESULTS: In non-obese individuals, metabolically unhealthy participants exhibited higher percent trunk fat and lower percent leg fat compared to healthy participants. Additionally, percent trunk fat increased and percent leg fat decreased with the number of metabolic abnormalities. After adjustment for demographic and lifestyle factors, as well as BMI, higher percent trunk fat was associated with increased odds of being metabolically unhealthy [highest vs. lowest quartile: ORs (95%CI) of 1.64 (1.35, 2.00) for men and 2.00 (1.63, 2.46) for women]. Conversely, compared with the lowest quartile, the ORs (95%CI) of metabolically unhealthy phenotype in the highest quartile for percent arm and leg fat were 0.64 (0.53, 0.78) and 0.60 (0.49, 0.74) for men, and 0.72 (0.56, 0.93) and 0.46 (0.36, 0.59) for women, respectively. Significant interactions between BMI and percentage of trunk and leg fat were observed in both sexes, with stronger associations found in individuals with normal weight and overweight. CONCLUSIONS Trunk fat is associated with a higher risk of metabolically unhealthy phenotype, while leg and arm fat are protective factors. Regional fat distribution assessments are crucial for identifying metabolically unhealthy phenotypes, particularly in non-obese individuals.
Adult ; Aged ; Female ; Humans ; Male ; Middle Aged ; Young Adult ; Adipose Tissue ; Body Fat Distribution ; Body Mass Index ; China/epidemiology* ; Cross-Sectional Studies ; Health Surveys ; Phenotype

OBJECTIVE: To investigate the effect of intraoperative blood salvage autotransfusion on local recurrence and long-term metastasis of patients after carotid body tumor resection. METHODS: We retrospectively reviewed a consecutive series of 61 patients undergoing elective carotid body tumor resection from August 2009 to December 2020. Among them, 14 received intraoperative blood salvage autotransfusion (autotrasfusion group) and 47 did not (non-autotransfusion). Data of general information, surgical status and postoperative follow-up results were collected. RESULTS: The proportion of Shamblin Ⅲ in the autotransfusion group was 85.7%, which was significantly higher than 31.9% in the non-autotransfusion group (P=0.003). The average operation time of the 14 patients in the autotransfusion group was (264±84) min, intraoperative blood loss was 1 200 (700, 2 700) mL, and autologous blood transfusion was 500 (250, 700) mL. Of these, 8 patients (57%) required concomitant allogeneic blood with 400 (260, 400) mL of allogeneic blood. The average operation time of the 47 patients in the non-autotransfusion group was (153±75) min, and the intraoperative blood loss was 300 (100, 400) mL. Of these, 6 (13%) required allogeneic blood transfusion, and 520 (400, 520) mL of allogeneic blood was used. Compared with the non-autotransfusion group, the average operation time in the autologous blood transfusion group was significantly longer (P < 0.001), and the intraoperative blood transfusion volume was larger (P=0.007). Of the 14 patients undergoing autotransfusion, 8 (57%) needed allogeneic blood at the same time; while in the 47 non-autologous transfusion patients, 6 (13%) needed allogeneic blood transfusion. The proportion of autotransfusion group using allogeneic blood at the same time was even higher (P=0.002). The incidence of nerve injury within 30 days after surgery was 29.5%, and there was no significant difference between the two groups. No early deaths occurred. The average follow-up was (76±37) months. One case of local recurrence occurred in the non-autotransfusion group. There was no distant metastasis. There were no tumor-related deaths. The estimated 5-year and 10-year overall survival rates were 96.4% and 83.8%, respectively. There was no significant difference in overall survival between the two groups (P=0.506). CONCLUSION The use of intraoperative blood salvage autotransfusion increased no risk of local recurrence and distant metastasis in patients with carotid body tumor, which is safe and effective in carotid body tumor resection.
Humans ; Blood Transfusion, Autologous/methods* ; Operative Blood Salvage/methods* ; Retrospective Studies ; Male ; Female ; Carotid Body Tumor/pathology* ; Middle Aged ; Prognosis ; Neoplasm Recurrence, Local ; Blood Loss, Surgical ; Aged ; Adult ; Operative Time

Abstract As a rapid analytical method for both the types and activities of γ radionuclides, the γ-ray spectrometry method is widely used in the measurement of γ radionuclides in environmental and biological samples. The Gamma-ray Spectrometry Method for the Determination of Radionuclides in Environmental and Biological Samples (GB/T 16145—2022）was implemented  on  July  1,  2023,  replacing  the Determination of Radionuclides in Soil by Gamma Spectrometry (GB/T 11743—2013), Determination of Radionuclides in Water by Gamma Spectrometry (GB/T 16140—2018), Gamma Spectrometry Method of Analyzing Radionuclides in Biological Samples (GB/T 16145—2020), and Determination of Radionuclides in Air by Gamma Spectrometry (WS/T 184—2017). The background of the revised standard, the content and basis of the main revisions, and some issues that need to be discussed are briefly explained in this paper, in order to provide a useful reference for the detection of radioactivity in soil, water, biological, and air samples, as well as samples of similar matrices.

Objective:To analyze the risk factors for central lymph node metastasis (CLNM) in patients with papillary thyroid cancer (PTC) aged 55 years and above, and to construct a predictive model with columnar graph.Methods:This retrospective study included 406 PTC patients aged 55 and above, treated at the First Affiliated Hospital of Zhengzhou University from Nov. 2019 to Feb. 2022. Data on demographic characteristics, disease features, and laboratory test results were collected. Univariate and multivariate logistic regression analyses were used to identify risk factors for CLNM and develop a clinical prediction model and nomogram.Results:The study involved 406 patients, divided into a modeling group (285 patients) and a validation group (121 patients). The predictive model identified independent risk factors for CLNM. In the modeling group, the model demonstrated a ROC AUC of 0.769, with 82.6% sensitivity, 63.0% specificity, and 67.7% accuracy. The validation group showed 66.7% sensitivity, 74.5% specificity, and 72.7% accuracy, with an AUC of 0.760. Hosmer-Lemeshow tests indicated good fit in both groups. Decision curve analysis confirmed the model's clinical decision-making value, showing better performance than traditional strategies and good generalizability and reliability.Conclusions:Sex, maximum tumor diameter, bilateral involvement of thyroid lobes, clinically evident cervical lymph nodes, and local invasion are independent predictive factors for CLNM in patients over 55 with papillary thyroid carcinoma (PTC). A clinical risk stratification nomogram model based on these risk factors demonstrates good predictive performance.

OBJECTIVE To investigate the changes in high performance liquid chromatography （HPLC） fingerprint spectra and nucleoside components between Pinelliae Rhizoma Praeparatum cum Zingibere et Alumine and its processed product Succus bambusae pinella preparata， providing a reference for the quality evaluation of the latter. METHODS HPLC fingerprint was established for 10 batches of Pinelliae Rhizoma Praeparatum cum Zingibere et Alumine and its processed product Succus bambusae pinella preparata following the Similarity Evaluation System of TCM Chromatographic Fingerprints （2012 Edition）. Hierarchical cluster analysis （HCA）， principal component analysis （PCA）， and orthogonal partial least squares-discriminant analysis （OPLS- DA） were conducted on their common peaks. The contents of four nucleoside components， hypoxanthine， uridine， adenine， and guanosine， in both Pinelliae Rhizoma Praeparatum cum Zingibere et Alumine and Succus bambusae pinella preparata were determined. RESULTS The similarity between the fingerprints of the 10 batches of Pinelliae Rhizoma Praeparatum cum Zingibere et Alumine， Succus bambusae pinella preparata， and their corresponding reference fingerprints ranged from 0.851 to 0.990. A total of 10 common peaks were obtained for both samples， and 4 components were identified as hypoxanthine， uridine， adenine， and guanosine. The results of HCA， PCA and OPLS-DA showed that the samples of Pinelliae Rhizoma Praeparatum cum Zingibere et Alumine and Succus bambusae pinella preparata were clustered into separate categories， with OPLS-DA selecting 4 differential components between them， ranked by variable importance projection values as peak 8， peak 1， peak 6 （adenine） and peak 10. The content determination results showed that the average contents of hypoxanthine， uridine， adenine and guanosine in Succus bambusae pinella preparata declined by 15.90%， 12.00%， 26.04% and 22.18% compared to Pinelliae Rhizoma Praeparatum cum Zingibere et Alumine， respectively， with statistically significant differences in the contents of hypoxanthine， adenine and guanosine （P＜0.05 or P＜0.01）. CONCLUSIONS The established fingerprint and content determination methods are simple to operate and have good repeatability， which are suitable for qualitative and quantitative analysis of Pinelliae Rhizoma Praeparatum cum Zingibere et Alumine and Succus bambusae pinella preparata. The average contents of the four nucleoside components decreased after the processing of Succus bambusae pinella preparata.