Objective:To investigate the association between serum ferritin levels, erythrocyte parameters, and the risk of developing type 2 diabetes mellitus.Methods:A total of 11 408 subjects aged 40 to 70 years who underwent physical examinations at a hospital in Qingdao from 2014 to 2015 were enrolled in the study. Data were collected through questionnaires, physical examinations, and assessments of blood biochemical indices, serum ferritin, and related erythrocyte parameters. A multivariate logistic regression model was employed to analyze the relationship of serum ferritin and red cell parameters with type 2 diabetes mellitus, while a linear regression model was utilized to examine the association between serum ferritin, red cell parameters and fasting blood glucose levels.Results:The median ( Q1, Q3) age of the subjects was 51 (45, 58) years, with 55.3% (6 305) being male. The prevalence of type 2 diabetes in women was 5.9% (300/5 103), which was lower than that in men [13.0% (817/6 305)] ( P<0.001).After adjusting for age, sex, body mass index (BMI), smoking status, alcohol consumption, and family history of diabetes, serum ferritin levels were found to be positively associated with both type 2 diabetes and fasting blood glucose levels, with OR (95% CI) and β(95% CI) values of 1.70 (1.37, 2.11) and 0.002 (0.002, 0.003), respectively. Additionally, hemoglobin, red blood cell count, and hematocrit were positively correlated with type 2 diabetes and fasting blood glucose, with OR (95% CI) values of 1.72 (1.32, 2.24), 1.91 (1.51, 2.41), and 1.52 (1.17, 1.97), and β (95% CI) values of 0.008 (0.006, 0.011), 0.365 (0.286, 0.445), and 2.543 (1.564, 3.521), respectively. Conversely, mean erythrocyte volume was negatively associated with type 2 diabetes and fasting blood glucose, with OR (95% CI) and β (95% CI) values of 0.54 (0.45, 0.66) and -0.017 (-0.023, -0.011), respectively (all P values<0.001). Conclusion:The findings indicate that serum ferritin and related erythrocyte parameters are significantly correlated with the risk of type 2 diabetes mellitus and fasting blood glucose levels.

Objective: To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.

Objective: To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.

Objective: To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.

Objective: To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.

In recent years, there has been a growing interest in the research on NOD-like receptor thermal protein domain associated protein 3(NLRP3) inflammasome inhibitors in the treatment of inflammatory diseases. The NLRP3 inflammasome is integral to the innate immune response, and its abnormal activation can lead to the release of pro-inflammatory cytokine, consequently facilitating the progression of various pathological conditions. Therefore, investigating the pharmacological inhibition pathway of the NLRP3 inflammasome represents a promising strategy for the treatment of inflammation-related diseases. Currently, the Food and Drug Administration(FDA) has not approved drugs targeting the NLRP3 inflammasome for clinical use due to concerns regarding liver toxicity and gastrointestinal side effects associated with chemical small molecule inhibitors in clinical trials. Natural small molecule compounds such as polyphenols, flavonoids, and alkaloids are ubiquitously found in animals, plants, and other natural substances exhibiting pharmacological activities. Their abundant sources, intricate and diverse structures, high biocompatibility, minimal adverse reactions, and superior biochemical potency in comparison to synthetic compounds have attracted the attention of extensive scholars. Currently, certain natural small molecule compounds have been demonstrated to impede the activation of the NLRP3 inflammasome via various action mechanisms, so they are viewed as the innovative, feasible, and minimally toxic therapeutic agents for inhibiting NLRP3 inflammasome activation in the treatment of both acute and chronic inflammatory diseases. Hence, this study systematically examined the effects and potential mechanisms of natural small molecule compounds derived from traditional Chinese medicine on the activation of NLRP3 inflammasomes at their initiation, assembly, and activation stages. The objection is to furnish theoretical support and practical guidance for the effective clinical application of these natural small molecule inhibitors.
NLR Family, Pyrin Domain-Containing 3 Protein/metabolism* ; Inflammasomes/metabolism* ; Inflammation/drug therapy* ; Anti-Inflammatory Agents/therapeutic use* ; Humans ; Animals ; Disease Models, Animal ; Biological Products/therapeutic use* ; Drug Discovery ; Medicine, Chinese Traditional/methods*

Objective: To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.

BACKGROUND:Polyamines play a crucial role in tissue calcification.Spermidine/spermine N1-acetyltransferase 1(SAT1),as a key rate-limiting enzyme regulating intracellular polyamine metabolism,has been associated with various pathological processes.However,its role in vascular calcification remains unclear.OBJECTIVE:To investigate the role of SAT1 in rat vascular smooth muscle cell calcification.METHODS:(1)Bioinformatics analysis:Differential expression of SAT1 in human carotid atherosclerotic plaques and their surrounding healthy carotid artery tissues were using GEO datasets.PanglaoDB database was used to analyze SAT1 expression abundance and localization across different cell types through single-cell sequencing.(2)Rat vascular smooth muscle cells were divided into three groups:a control group cultured in DMEM medium,a calcification group induced by DMEM medium containing 10 mmol/L β-glycerophosphate sodium and 3 mmol/L calcium chloride,and the 50,100 μmol/L diacetylaminotriazamidine groups treated with the SAT1 inhibitor,diacetylaminotriazamidine,in addition to the calcification medium.After 7-10 days of culture,alizarin red S staining was performed,and cellular calcium content and alkaline phosphatase activity were assessed.Western blot was used to detect the protein expression of Runt-related transcription factor 2,bone morphogenetic protein 2,alpha-smooth muscle actin,and SAT1.Immunofluorescence staining was conducted to examine the expression of Runt-related transcription factor 2 and SAT1.RESULTS AND CONCLUSION:(1)Bioinformatics analysis revealed significantly upregulated expression of SAT1 and Runt-related transcription factor 2(P<0.05)in carotid atherosclerotic plaques compared with healthy carotid tissues(P<0.05).Single-cell sequencing database analysis confirmed SAT1 expression in vascular smooth muscle cells.(2)Compared with the control group,the calcification group showed significantly increased Runt-related transcription factor 2,bone morphogenetic protein 2,SAT1,calcium content,and alkaline phosphatase activity,while alpha-smooth muscle actin expression was significantly decreased(all P<0.05).Compared with the calcification group,the 50 and 100 μmol/L diacetylaminotriazamidine groups showed significantly decreased Runt-related transcription factor 2,bone morphogenetic protein 2,calcium content,and alkaline phosphatase activity,while alpha-smooth muscle actin expression was significantly increased(all P<0.05).(3)Immunofluorescence experiments demonstrated that compared with the calcification group,the expression intensity of Runt-related transcription factor 2 was significantly reduced in the 50 and 100 μmol/L diacetylaminotriazamidine groups.Overall,SAT1 may promote vascular smooth muscle cell calcification by upregulating Runt-related transcription factor 2 expression.

Objective:To investigate the association between serum ferritin levels, erythrocyte parameters, and the risk of developing type 2 diabetes mellitus.Methods:A total of 11 408 subjects aged 40 to 70 years who underwent physical examinations at a hospital in Qingdao from 2014 to 2015 were enrolled in the study. Data were collected through questionnaires, physical examinations, and assessments of blood biochemical indices, serum ferritin, and related erythrocyte parameters. A multivariate logistic regression model was employed to analyze the relationship of serum ferritin and red cell parameters with type 2 diabetes mellitus, while a linear regression model was utilized to examine the association between serum ferritin, red cell parameters and fasting blood glucose levels.Results:The median ( Q1, Q3) age of the subjects was 51 (45, 58) years, with 55.3% (6 305) being male. The prevalence of type 2 diabetes in women was 5.9% (300/5 103), which was lower than that in men [13.0% (817/6 305)] ( P<0.001).After adjusting for age, sex, body mass index (BMI), smoking status, alcohol consumption, and family history of diabetes, serum ferritin levels were found to be positively associated with both type 2 diabetes and fasting blood glucose levels, with OR (95% CI) and β(95% CI) values of 1.70 (1.37, 2.11) and 0.002 (0.002, 0.003), respectively. Additionally, hemoglobin, red blood cell count, and hematocrit were positively correlated with type 2 diabetes and fasting blood glucose, with OR (95% CI) values of 1.72 (1.32, 2.24), 1.91 (1.51, 2.41), and 1.52 (1.17, 1.97), and β (95% CI) values of 0.008 (0.006, 0.011), 0.365 (0.286, 0.445), and 2.543 (1.564, 3.521), respectively. Conversely, mean erythrocyte volume was negatively associated with type 2 diabetes and fasting blood glucose, with OR (95% CI) and β (95% CI) values of 0.54 (0.45, 0.66) and -0.017 (-0.023, -0.011), respectively (all P values<0.001). Conclusion:The findings indicate that serum ferritin and related erythrocyte parameters are significantly correlated with the risk of type 2 diabetes mellitus and fasting blood glucose levels.

Objective:To explore the impacts of remimazolam(REM)on the proliferation,migration,and invasion of hepatocellular carcinoma cells by regulating sphingosine kinase 1/sphingosine 1-phosphate/sphingosine 1-phosphate receptor 3(SPHK1/S1P/S1PR3)signaling pathway.Methods:Human hepatocellular carcinoma cell line HepG2 was treated with REM at concentrations of 0,20,40,80,160,and 320 μmol/L respectively.Cell survival rate was measured,and drug concentrations were screened.Based on the results of cell survival rate,the logarithmic phase cells were di-vided into five groups:Control group,low,medium,and high concentrations of remifentanil groups(REM-L,REM-M,REM-H groups;20,40 and 80 μmol/L),and high concentrations of remifentanil+SPHK1 activator group(REM-H+K6PC-5 group).MTT assay was used to detect the survival rate of HepG2 cells.Plate cloning experiment was performed to de-tect cell proliferation ability.Scratch experiment was performed to detect cell migration ability.Transwell chamber method was performed to detect cell invasion ability.Flow cytometry was used to detect cell apoptosis.Western blot was used to detect the SPHK1,S1P,S1PR3,Bax,and Bcl-2 proteins in cells.Results:For the Control group,the REM-L,REM-M,and REM-H groups showed that the number of HepG2 cell clones,scratch healing rate,invasion rate,Bcl-2,SPHK1,S1P,S1PR3,and N-cadherin proteins gradually decreased with increasing REM concentration,while the apoptosis rate and Bax,E-cadherin proteins showed an opposite trend(P<0.05).For the REM-H group,the REM-H+K6PC-5 group showed a clear increase in the number of HepG2 cell clones,scratch healing rate,invasion rate,Bcl-2,SPHK1,S1P,S1PR3,and N-cadherin proteins,and a clear decrease in the apoptosis rate and Bax,E-cadherin proteins(P<0.05).Conclusion:REM may inhibit the proliferation,migration,and invasion of hepatocellular carcinoma cells and promote cell apoptosis by suppressing SPHK1/S1P/S1PR3 signaling pathway.