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.

A colorimetric detection method for xanthine oxidase activity and its inhibitors(XOI)based on nitrogen-doped carbon-supported ruthenium metal atom(Ru/NC)nanozyme was developed.Through a host-guest strategy,Ru/NC nanozyme with excellent peroxidase-like activity was prepared using zeolitic imidazolate framework-8(ZIF-8)as the host molecule and ruthenium acetylacetonate(Ru(acac)3)as the guest molecule.Based on its peroxidase-like catalytic activity,the visual method for detection of hydrogen peroxide(H 2O 2)and analysis of xanthine oxidase(XO)activity were developed.Under optimized experimental conditions,the linear detection range for H 2O 2 was 10-500 μmol/L,with a detection limit of 4.8 μmol/L(3σ);for XO activity analysis,the linear range was 1-7 mU/mL,with a detection limit of 0.69 mU/mL(3σ).Furthermore,an effective method for screening XOI was developed,which had the advantages of low cost,simplicity,and visualization.

Insulin is an important protein hormone that participates in multiple metabolic pathways.Biosynthetic insulin has been widely used in the treatment of type 1 and type 2 diabetes.Currently,the number of reported cases of insulin overdose both at home and abroad is gradually increasing,and insulin homicide is no longer a means of"committing murder without leaving a trace".At present,there are no systematic protocols for the identification of insulin overdose in the field of forensic medi-cine in China.This article introduces the causes,toxicological characteristics,forensic examination,labo-ratory testing methods and indicator reference of insulin overdose.Based on the identification practice and research results and referring to relevant studies on insulin overdose at home and abroad,this pa-per aims to provide recommendations and references for the formulation of forensic identification guide-lines for insulin overdose cases.

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.

Hypertension is one of the important causes of premature death worldwide,and the prevention and treatment of hypertension is of great significance in reducing the incidence and mortality rate of cardiovascular disease.Antihypertensive drugs and food homologous traditional Chinese medicine have the advantages of easy access,high safety,and minimal side effects.Based on the list of 101 traditional Chinese medicinal materials that are both medicinal and food substances released by the National Health Commission,a search was conducted on 101 Chinese medicinal materials related to hypertension using the China National Knowledge Infrastructure(CNKI).The screening criteria are single drug,extract,or monomer therapy for hypertension,and the number of literature is≥2,resulting in 14 medicinal and food homologous traditional Chinese medicines with antihypertensive effects.Search for 14 Chinese medicine names and hypertension keywords on PubMed,Web of Science,and Google Scholar to collect reports on the treatment of hypertension with medicinal and food homologous traditional Chinese medicine.Based on the search results of China National Knowledge Infrastructure,summarize their classification,drug properties,efficacy,antihypertensive effects,and mechanism of action,in order to provide inspiration for new prescriptions,drug development,and functional foods for treating hypertension.Most of the antihypertensive traditional Chinese medicines with the same origin as medicine and food belong to the categories of clearing heat and tonifying deficiency;Most drugs have a sweet and spicy taste,which belongs to the liver,spleen,and kidney meridians.The efficacy is mostly to clear the liver and brighten the eyes,tonify the liver and kidneys,promote qi circulation,dispel blood stasis,and disperse nodules.It mainly inhibits ACE activity;Reduce REN and AngⅡ levels;Upregulate SOD levels and reduce MDA expression;Improve the expression level of NO/NOS;Enhance antioxidant effects;Improve endothelial function;Relieve inflammatory reactions;Various methods such as reducing target organ damage can play a role in treating hypertension.

Objective To explore the application value of serum Syndecan-1 and endocan-1 combined with rapid sequential organ failure(qSOFA)score in the diagnosis and prognosis of sepsis.Methods The severity of 118 patients with sepsis was divided into the general sepsis group(48 cases),the severe sepsis group(42 cases)and the septic shock group(28 cases).According to the prognosis,patients were divided into the death group(n=32)and the survival group(n=86).A total of 118 healthy volunteers were selected as the control group.Serum Syndecan-1 and endocan-1 levels were detected by enzyme-linked immunosorbent assay(ELISA).The value of serum Syndecan-1,endocan-1 and qSOFA scores in the early diagnosis and prognosis of sepsis was analyzed by receiver operating characteristic(ROC)curve,and the area under the curve(AUC)was compared.Results Compared with the control group,levels of Syndecan-1,endocan-1 and qSOFA scores were increased in the study group(P＜0.05).The serum Syndecan-1,endocan-1 and qSOFA score in the general sepsis group,the severe sepsis group and the septic shock group were significantly increased in sequence(P＜0.05).ROC curve analysis showed that the AUC of serum Syndecan-1,endocan-1 and qSOFA score in the diagnosis of sepsis(0.967)were higher than that of Syndecan-1(AUC=0.868),endocan-1(AUC=0.798)and qSOFA score(AUC=0.873)alone(Z=6.541,5.495 and 6.395,P＜0.001).Compared with the survival group,the levels of Syndecan-1,endocan-1 and qSOFA scores were significantly increased in the death group(P＜0.05).The combined prediction of AUC(0.983)was higher than that of Syndecan-1(AUC=0.814),endocan-1(AUC=0.834)and qSOFA score(AUC=0.924)alone(Z=6.596,9.268 and 6.904,P＜0.001).Conclusion Serum levels of Syndecan-1,endocan-1 and qSOFA are increased in patients with sepsis,and the combination of the three has higher clinical value in the diagnosis and prognosis evaluation of sepsis.

PURPOSE: This study aims to identify the prevalence and risk factors of military training-related abdominal injuries and help plan and conduct training properly. METHODS: This questionnaire survey study was conducted from October 2021 to May 2022 among military personnel from 6 military units and 8 military medical centers and participants' medical records were consulted to identify the training-related abdominal injuries. All the military personnel who ever participated in military training were included. Those who refused to participate in this study or provided an incomplete questionnaire were excluded. The questionnaire collected demographic information, type of abdominal injury, frequency, training subjects, triggers, treatment, and training disturbance. Chi-square test and t-test were used to compare baseline information. Univariate and multivariate regression analyses were used to explore the risk factors associated with military training-related abdominal injuries. RESULTS: A total of 3058 participants were involved in this study, among which 1797 (58.8%) had suffered training-related abdominal injuries (the mean age was 24.3 years and the service time was 5.6 years), while 1261 (41.2%) had no training-related abdominal injuries (the mean age was 23.1 years and the service time was 4.3 years). There were 546 injured patients (30.4%) suspended the training and 84 (4.6%) needed to be referred to higher-level hospitals. The most common triggers included inadequate warm-up, fatigue, and intense training. The training subjects with the most abdominal injuries were long-distance running (589, 32.8%). Civil servants had the highest rate of abdominal trauma (17.1%). Age ≥ 25 years, military service ≥ 3 years, poor sleep status, and previous abdominal history were independent risk factors for training-related abdominal injury. CONCLUSION More than half of the military personnel have suffered military training-related abdominal injuries. Inadequate warm-up, fatigue, and high training intensity are the most common inducing factors. Scientific and proper training should be conducted according to the factors causing abdominal injuries.
Humans ; Military Personnel ; Risk Factors ; Prevalence ; Male ; Abdominal Injuries/etiology* ; Female ; Adult ; Surveys and Questionnaires ; Young Adult