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 abuse of novel phenylcyclohexylpyridine drugs poses a significant threat to societal safety. The novel psychoactive substance 2-methyl-deschloroketamine (2-MDCK), belonging to the phenylcyclohexylpyridine class, has recently surfaced as a new compound. However, there is a lack of understanding regarding its metabolic pathways and the identification of suitable biomarkers. In this study, a human liver microsomal model was established, and ultra-high-performance liquid chromatography-tandem mass spectrometry (UHPLC-MS/MS) technology was applied to investigate the in vitro metabolism and products of 2-MDCK. The results indicate that 2-MDCK undergoes various metabolic reactions, including dehydrogenation, deamination, hydroxylation, and demethylation, leading to the formation of eight metabolites. By conducting actual testing on hair samples from 2-MDCK abusers, the existence of six metabolites was confirmed. Comparing the metabolic products in the liver microsomal in vitro model, M3.1 and M4.1 were identified as biomarkers for 2-MDCK consumption. Five samples of abusers of 2-methyl-dechloroketamine were provided by the Anti-Drug Brigade of the Hangzhou Public Security Bureau. Negative hair samples were provided by laboratory volunteers, and all samples were obtained with the informed consent of the volunteers. These findings provide a scientific basis for the detection and identification of 2-MDCK and its metabolites, as well as crucial support for the study of the metabolic mechanisms of similar novel psychoactive substances in the phenylcyclohexylpyridine class. This research holds significant importance in addressing the issue of abuse of new psychoactive substances.

Sulforaphane is a naturally occurring active substance derived from cruciferous vegetables with potent antioxidant and anticancer properties. Researches have shown that sulforaphane has good bioavailability and can be absorbed by the small intestine through passive transport, followed by excretion in the form of urine via the hydrophobic acid pathway. In addition, since sulforaphane is easy to be absorbed and metabolized, wrapping sulforaphane with nanomaterials can improve its bioavailability and stability, prolong its action time in human body, and better utilize its therapeutic effect. In terms of mechanism of action, sulforaphane can activate Nrf2 and HSF1 signaling pathways, induce the expression of phase II detoxification enzymes HO-1, NADPH, GST and HSP, thus regulating the concentration of oxidative stress ROS in vivo; inhibit NF-κB signaling pathway, thus suppressing the expression of inflammatory factors TNF-α, IL-1 and IL-6; regulate epigenetic modifications, thus inhibiting HDAC and DNMT, and increasing the concentration of histone H3 and H4. By regulating the expression levels of the above factors, sulforaphane can affect the occurrence and development of cancer, neurodegenerative diseases and other diseases. In recent years, several phase I/II clinical trials have shown that sulforaphane has good drug-generating properties. For example, researchers have found that patients with skin cancer have not shown any health problems and their corresponding functional problems have improved greatly after long-term use of sulforaphane. This suggests that in the future sulforaphane has a very high medicinal potential for the treatment of cancer and neurodegenerative diseases. In this paper, we review the pharmacokinetics, target of action and safety of sulforaphane and its research progress in tumor and neurodegenerative diseases to provide a reference for the future application of sulforaphane in the treatment of tumor and neurodegenerative diseases.

Objective:To explore the effect and correlation of long non-coding RNA (lncRNA) IDI2-AS1/microRNA-33b-5p (miR-33b-5p)/nuclear receptor-associated protein NR4A2 competitive endogenous RNA (ceRNA) regulatory network on acute myocardial infarction (AMI), and to verify whether IDI2-AS1 regulates NR4A2 through miR-33b-5p to affect the occurrence and development of myocardial infarction.Methods:The miRNA and mRNA expression chips related to myocardial infarction were obtained from gene expression omnibus (GEO), and the differential expression was analyzed. The upstream regulatory mechanism of NR4A2 was predicted using TargetScan database. Thirty-two male C57/BL6 mice were divided into Sham group, AMI model group, miR-33b-5p mimic group [miR-33b-5p mimic lentivirus (5×10 7 TU) was injected locally into the heart tissue during ligation] and miR-33b-5p inhibitor group [miR-33b-5p inhibitor lentivirus (5×10 7 TU) was injected locally into the heart tissue during ligation] according to random number table method, with 8 mice per group. Left ventricular end-diastolic diameter (LVEDD) and left ventricular end-systolic diameter (LVESD) were asseessed by echocardiography, left ventricular fractional shortening (LVFS) and left ventricular ejection fraction (LVEF) were calculated. After the last weighing, the anesthetized mice were sacrificed and the heart tissues were taken. Masson staining of the heart tissues was observed under light microscope, myocardial collagen volume fraction (CVF) and infarct size were calculated. Cardiomyocytes of SPF grade SD rats were collected. They were divided into normal control group (control group), ischemia-hypoxia model group, miR-33b-5p mimic transfection group (miR-33b-5p mimic transfection group before ischemia and hypoxia treatment) and miR-33b-5p inhibitor transfection group (miR-33b-5p inhibitor transfection group before ischemia and hypoxia treatment). The activity of caspase-3/7 in cardiomyocytes was measured. The levels of interleukins (IL-1β, IL-6) and tumor necrosis factor-α (TNF-α) were detected by enzyme-linked immunosorbent assay (ELISA). The levels of malondialdehyde (MDA), superoxide dismutase (SOD), creatine kinase (CK), MB isoenzyme of creatine kinase (CK-MB) and lactate dehydrogenase (LDH) were detected by colorimetry. Real-time quantitative polymerase chain reaction (RT-qPCR) was used to detect the expression of apoptosis-related proteins Bax and Bcl-2, cytochrome C (Cyt C) and IDI2-AS1/miR-33b-5p/NR4A2 regulatory axis genes. Results:The myocardial infarction microarray analysis showed that NR4A2 expression was significantly up-regulated in myocardial infarction, with predicted upstream regulatory mechanisms indicating its possible influence through the IDI2-AS1/miR-33b-5p/NR4A2 regulatory axis. Echocardiographic detection showed that compared with AMI model group and miR-33b-5p inhibitor group, LVEF and LVFS in the heart tissue of mice in miR-33b-5p mimic group were significantly increased, while the levels of LVEDD, LVESD, CK, CK-MB and LDH were significantly decreased, with statistical significance. Light microscope showed myocardial fibrosis and myocardial infarction in AMI model group and miR-33b-5p inhibitor group. In the miR-33b-5p mimic group, the degree of myocardial fibrosis was decreased and the myocardial infarction size was significantly reduced. Compared with AMI model group and miR-33b-5p inhibitor group, the levels of MDA, IL-1β, IL-6, TNF-α and the expressions of Bax and Cyt C in the heart tissue of mice in miR-33b-5p mimic group were significantly decreased, while the levels of SOD and Bcl-2 expression were significantly increased, and the differences were statistically significant. The expressions of IDI2-AS1 and NR4A2 in the heart tissue of mice in miR-33b-5p mimic group were significantly lower than those in AMI model group and miR-33b-5p inhibitor group [IDI2-AS1 (2 -ΔΔCt): 1.96±0.08 vs. 2.73±0.08, 3.10±0.05, NR4A2 (2 -ΔΔCt): 2.36±0.07 vs. 3.16±0.08, 3.80±0.08, all P < 0.01]. The expression of miR-33b-5p was significantly higher than that of AMI model group and miR-33b-5p inhibitor group (2 -ΔΔCt: 0.88±0.07 vs. 0.57±0.07, 0.23±0.01, both P < 0.01). The cell experiment results showed that the caspase-3/7 activity of rat neonatal cardiomyocytes in the miR-33b-5p mimic transfection group was significantly lower than that in the ischemia-hypoxia model group and the miR-33b-5p inhibitor transfection group, suggesting that miR-33b-5p can significantly reduce the apoptosis level of the ischemia-hypoxia model. The levels of peroxidation and inflammation indexes, important genes of apoptosis pathway and the expression of IDI2-AS1/miR-33b-5p/NR4A2 regulatory axis of rat neonatal cardiomyocytes in all groups were consistent with the above. Conclusion:IDI2-AS1 can regulate NR4A2 through miR-33b-5p, thus affecting the occurrence and development of AMI.

Pharmacokinetics of traditional Chinese medicine(TCM)is a discipline that adopts pharmacokinetic research methods and techniques under the guidance of TCM theories to elucidate the dynamic changes in the absorption,distribution,metabolism and excretion of active ingredients,active sites,single-flavour Chinese medicinal and compounded formulas of TCM in vivo.However,the sources and components of TCM are complex,and the pharmacodynamic substances and mechanisms of action of the majority of TCM are not yet clear,so the pharmacokinetic study of TCM is later than that of chemical medicines,and is far more complex than that of chemical medicines,and its development also confronts with challenges.The pharmacokinetic study of TCM originated in the 1950s and has experienced more than 70 years of development from the initial in vivo study of a single active ingredient,to the pharmacokinetic and pharmacodynamic study of active ingredients,to the pharmacokinetic study of compound and multi-component of Chinese medicine.In recent years,with the help of advanced extraction,separation and analysis technologies,gene-editing animals and cell models,multi-omics technologies,protein purification and structure analysis technologies,and artificial intelligence,etc.,the pharmacokinetics of TCM has been substantially applied in revealing and elucidating the pharmacodynamic substances and mechanisms of action of Chinese medicines,research and development of new drugs of TCM,scientific and technological upgrading of large varieties of Chinese patent medicines,as well as guiding the rational use of medicines in clinics.Pharmacokinetic studies of TCM have made remarkable breakthroughs and significant development in theory,methodology,technology and application.In this paper,the history of the development of pharmacokinetics of TCM and the progress of cutting-edge research was reviewed,with the aim of providing ideas and references for the pharmacokinetics of TCM and related research.

This study aims to observe the effects of different doses of Astragali Radix on the expression of glucagon(GLP-1) in se-rum and glucagon receptor(GLP-1R) in cartilage tissue in rats with knee osteoarthritis(KOA), explore the effect of Astragali Radix on the inflammation and apoptosis of KOA by regulating GLP-1/GLP-1R signaling axis, and investigate the mechanism of its action in alleviating KOA. Forty-eight male SD rats were randomly divided into six groups: blank group, model group, low-, medium-, and high-dose Astragali Radix groups(3.125, 6.25, and 12.5 g·kg~(-1)), and glucosamine sulfate group(0.1 g·kg~(-1)). Except for the blank group, rats in other groups were injected with sodium iodoacetate(MIA) into the knee joint to establish KOA models. After successful modeling, the rats were continuously treated for five weeks. Enzyme-linked immunosorbent assay(ELISA) was used to detect the levels of GLP-1, tumor necrosis factor-alpha(TNF-α), and interleukin-1β(IL-1β) in rat serum. Pathological examination was utilized to observe the pathological changes in knee joint cartilage. The mRNA levels of TNF-α and MMP13 in knee joint cartilage were detected by qRT-PCR, and the protein expression levels of GLP-1R, MMP13, and caspase-8 in knee joint cartilage were detected by Western blot. The expression of GLP-1R and MMP13 in the knee joint was detected by immunohistochemistry. Tunel staining was used to observe the apoptosis of chondrocytes in the knee joint. The above experimental results showed that Astragali Radix may raise the serum levels of GLP-1, reduce serum levels of TNF-α and IL-1, and decrease the relative mRNA expression of TNF-α and MMP13 through the GLP-1/GLP-1R axis. It thus activated GLP-1R, reduced the protein expression of MMP13 and caspase-8 in cartilage, and regulated their related signaling pathways to improve inflammation and apoptosis, so as to protect cartilage and improve KOA.
Animals ; Male ; Rats, Sprague-Dawley ; Osteoarthritis, Knee/genetics* ; Rats ; Drugs, Chinese Herbal/pharmacology* ; Glucagon-Like Peptide 1/metabolism* ; Glucagon-Like Peptide-1 Receptor/metabolism* ; Astragalus propinquus/chemistry* ; Humans ; Matrix Metalloproteinase 13/metabolism* ; Signal Transduction/drug effects* ; Tumor Necrosis Factor-alpha/metabolism* ; Astragalus Plant/chemistry* ; Apoptosis/drug effects*