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.

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.

The anti-inflammatory effect of simplified Zhiqin Decoction was observed by using lipopolysaccharide (LPS)-induced inflammation mouse model. The main chemical constituents and the main mechanism of action of simplified Zhiqin Decoction were predicted by network pharmacology. Animal experiments verified the anti-inflammatory mechanism of simplified Zhiqin Decoction (this experiment was approved by the Animal Experiment Ethics Committee of Southwest University, approval number: IACUC-20210825-02). Simplifying Zhiqin Decoction has a significant anti-inflammatory effect on inflammatory mice, can significantly improve the overall macro shape of mice, reduce body temperature, water intake, increase the number of autonomous activities; alleviate liver, lung, spleen, thymus inflammation and pathological damage; decrease tumor necrosis factor-α (TNF-α), interleukin (IL)-1β and IL-6, nitric oxide (NO), prostaglandin E₂ (PGE₂) content in serum and urine. The contents of serum immune factors IgG, IgA and IgM were increased. Network pharmacology predicted 66 potential anti-inflammatory active components of simplified Zhiqin Decoction involving 132 inflammatory targets, and the key anti-inflammatory signaling pathway involved PI3K/AKT, TNF, JAK-STAT, etc. Animal experiments show that simplified Zhiqin Decoction can significantly reduce the expression of JAK2/STAT-PI3K/AKT-NF-κB-TNF signaling pathway related proteins in lung tissue of inflammatory mice. The results of this study showed that simplified Zhiqin Decoction had significant anti-inflammatory effects, and its main anti-inflammatory components were quercetin, β-sitosterol, kaempferol, wogonin, stigmasterol, luteolin, neobaicalein, etc. The main mechanism of its anti-inflammatory action is that it significantly inhibits the expression of JAK2/STAT-PI3K/AKT-NF-κB-TNF signaling pathway protein.

Non-communicable diseases(NCDs),including cardiovascular diseases,cancer,metabolic diseases,and skeletal diseases,pose significant challenges to public health worldwide.The complex pathogenesis of these diseases is closely linked to oxidative stress and inflammatory damage.Nuclear factor erythroid 2-related factor 2(Nrf2),a critical transcription factor,plays an important role in regulating antioxidant and anti-inflammatory responses to protect the cells from oxidative damage and inflammation-mediated injury.Therefore,Nrf2-targeting therapies hold promise for preventing and treating NCDs.Quercetin(Que)is a widely available flavonoid that has significant antioxidant and anti-inflammatory properties.It modulates the Nrf2 signaling pathway to ameliorate oxidative stress and inflammation.Que modulates mitochondrial function,apoptosis,autophagy,and cell damage biomarkers to regulate oxidative stress and inflammation,highlighting its efficacy as a therapeutic agent against NCDs.Here,we discussed,for the first time,the close association between NCD pathogenesis and the Nrf2 signaling pathway,involved in neurodegenerative diseases(NDDs),cardiovascular disease,cancers,organ damage,and bone damage.Furthermore,we reviewed the availability,pharmacokinetics,pharmaceutics,and therapeutic applica-tions of Que in treating NCDs.In addition,we focused on the challenges and prospects for its clinical use.Que represents a promising candidate for the treatment of NCDs due to its Nrf2-targeting properties.

Objective:To investigate the application effect of early emergency nursing teaching for eye battle injuries guided by the deep teaching concept.Methods:A total of 64 ophthalmic nurses who participated in early emergency nursing training for eye battle injuries were divided into control group with 26 nurses and observation group with 38 nurses. For the control group, list-based self-directed learning was used for theoretical teaching, and the traditional demonstration teaching method was used for the teaching of operational skills; for the observation group, the deep teaching concept was used for teaching design from the aspects of promoting understanding, inspiring reflection, and providing immersive experience, and it is also used to implement theoretical and practical teaching. The two groups were compared in terms of general information, theoretical scores, operational skill scores, and core competency scores before and after implementation. SPSS 22.0 was used for the t-test and the chi-square test. Results:There were no significant differences between the two groups in the general information including age, years of working in ophthalmology, education background, and professional title. Before implementation, there were no significant differences between the two groups in theoretical score, operational skill score, and core competency score, and compared with the control group after implementation, the observation group had significantly better theoretical score [(90.13±5.87) vs. (81.73±4.68), P<0.001] and scores of two operational skills [(95.63±2.81) vs. (87.31±4.51), P<0.001; (96.24±2.74) vs. (89.08±4.50), P <0.001]. Compared with the control group in terms of Competency Inventory for Registered Nurse, the observation group had significantly better scores of critical thinking [(34.00±1.93) vs. (30.58±3.01), P<0.001] and clinical nursing ability [(32.13±1.65) vs. (28.35±2.28), P<0.001]. Conclusions:The teaching method based on the deep teaching concept helps to enhance the knowledge, emergency skills, clinical reflection, and nursing abilities of ophthalmic nurses in the early emergency treatment of eye battle injuries and can improve the ideological awareness and training readiness of military clinical nurses.

Objective:To analyze the relationship between genotype and clinical phenotype of the MYH7-R453C mutation in five Chinese hypertrophic cardiomyopathy (HCM) families.Methods:A retrospective cohort study was conducted on 527 unrelated HCM probands who were first diagnosed at the First Affiliated Hospital of Air Force Medical University (Xijing Hospital) from February 2014 to July 2018, and the high-throughput whole exome targeted sequencing of 96 genes related to hereditary cardiovascular disease was performed on the probands. The probands carrying the MYH7-R453C mutation were screened out, and their family members carrying the mutation were verified using Sanger sequencing. Healthy individuals without family history of genetic diseases from the same period and ethnicity were recruited as controls. Clinical data such as echocardiography, 12-lead electrocardiogram, and cardiac magnetic resonance imaging of the probands and their family members were collected, and the correlation between patient genotype and clinical phenotype was analyzed. Endpoint or key events were recorded through hospital re-examination or telephone follow-up.Results:The MYH7-R453C mutation was detected in 5 HCM probands, and clinical data and genetic results of 20 family members, including probands, were collected. Among them, 13 carried the MYH7-R453C mutation, of which 12 were diagnosed with HCM, and one child (F1Ⅲ 5) experienced early changes of HCM. The seven family members who did not carry the MYH7-R453C mutation had normal echocardiograms and 12-lead electrocardiograms. Among the 12 patients diagnosed with HCM, 2 experienced (F2Ⅱ 7, F5Ⅰ 2) sudden cardiac death, 2 experienced (F1Ⅲ 1, F3Ⅲ 3) events of sudden cardiac death survival, 2(F1Ⅱ 2, F3Ⅱ 1) died from heart failure during the follow-up period. Combined with the initial visit and follow-up, 4 families (F1, F2, F3, F5) had a family history of sudden death, among which 3 families probands or multiple family members experiencing sudden death before the age of 30 and adverse outcomes such as implantation of implantable cardioverter-defibrillators after sudden death survival. Conclusions:In the five families with HCM carrying MYH7-R453C mutations, genotype is highly correlated with clinical phenotype, and patients have a high risk of sudden death and poor prognosis. Early diagnosis of individuals carrying the MYH7-R453C gene mutation, both within the patient′s family and in the patients themselves, is crucial for initiating early treatment, preventing sudden death, and assessing prognosis.

ObjectiveTo observe the inhibitory effect of sinomenine on human glioblastoma and its pharmacokinetic characteristics in glioblastoma. MethodA human glioblastoma U87 cell line stably expressing luciferase was constructed， and a mouse glioma model was established for use in both pharmacodynamic and pharmacokinetic studies. Pharmacodynamics： Model mice were randomly divided into model group and sinomenine low-， medium-， and high-dose groups （50， 100， 150 mg·kg^-1）. Sinomenine was administered intraperitoneally for 14 days. The fluorescence value of brain tumors was observed to analyze its inhibitory effect on glioblastoma proliferation. Brain tumors and the surrounding brain tissue were collected， and the expression levels of vascular endothelial growth factor A （VEGFA）， P-glycoprotein （P-gp）， breast cancer resistance protein （BCRP）， and Occludin were detected by Western blot. Pharmacokinetics： Mice were divided into a normal group （50 mg·kg^-1） and model groups （50， 100， 150 mg·kg^-1）. After a single intraperitoneal injection of sinomenine， extracellular fluid from brain tumors was collected in vivo by microdialysis every 15 min for 6 h. Sinomenine concentrations in the dialysate were detected by HPLC-MS/MS， and pharmacokinetic parameters were calculated to analyze pharmacokinetic characteristics of sinomenine in the brain and glioblastoma. ResultCompared with model group， after 14 days of sinomenine administration， the fluorescence value of brain tumors significantly decreased （P<0.05） in a dose-dependent manner. Sinomenine inhibited the increase in VEGF and the degradation of Occludin in the tissue surrounding the tumor and inhibited the expression of VEGF， P-gp， and BCRP in glioblastoma. After a single administration， sinomenine was detected in brain and tumor tissues within 7.5 min. Compared with normal group， the C_max and AUC in the tumor significantly increased， T_max shortened （from 1.63 h to 0.71 h）， and CLz/F decreased. In the dose range of 50-150 mg·kg^-1， sinomenine exhibited a linear pharmacokinetic process in glioblastoma. ConclusionSinomenine has a significant inhibitory effect on glioblastoma， which can inhibit VEGF elevation and drug transporter efflux， reduce tumor invasion， and maintain the integrity of the blood-brain barrier. Sinomenine can rapidly cross the blood-tumor barrier， reach peak concentration， and exhibit linear pharmacokinetic characteristics in the tumor.