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.

ObjectiveTo clarify the repair effect of Mume Fructus on the intestinal mucosal epithelial barrier in the mouse model of inflammatory bowel disease （IBD） and explore the repair mechanism. MethodsThirty-six male C57BL/6 mice were randomly assigned into six groups： normal， model， low-， medium-， and high-dose （200， 400， and 800 mg·kg^-1） Mume Fructus， and sulfasalazine （300 mg·kg^-1）. Except the normal group， the rest groups had free access to 2% dextran sulfate sodium （DSS） solution for seven days to establish the IBD model， followed by a seven-day drug intervention. The body weight change and disease activity index （DAI） were recorded. After the last administration， spleen and colon tissue samples were collected to analyze the differences in colon length and spleen index. Hematoxylin-eosin staining was used to observe the morphology of the colon tissue. The level of diamine oxidase （DAO） in the serum was measured by the DAO assay kit. Immunohistochemistry was employed to determine the expression of tight junction proteins such as Claudin-1， Occludin， and zonula occludens-1 （ZO-1） in the colon tissue. Real-time PCR was performed to measure the mRNA levels of tumor necrosis factor-α （TNF-α） and interleukin-1β （IL-1β） in the colon tissue. Finally， Western blot was employed to determine the protein levels of mitogen-activated protein kinase kinase （MEK）， extracellular signal-regulated kinase （ERK）， phosphorylated （p）-MEK， and phosphorylated ERK in the colon tissue. ResultsCompared with the normal group， the model group exhibited decreases in body weight and colon length （P<0.01）， increases in DAI， spleen index， and serum DAO level （P<0.01）， damaged colonic epithelium and goblet cells， and obvious infiltration of inflammatory cells. In addition， the model group exhibited higher positive expression of Claudin-1， Occludin， and ZO-1 （P<0.01）， higher mRNA levels of TNF-α and IL-1β （P<0.01）， and higher protein levels of p-MEK and p-ERK （P<0.05， P<0.01） than the normal group. However， sulfasalazine and three doses of Mume Fructus markedly decreased the body weight and DAI （P<0.05）， recovered the colon length and spleen index， alleviated colon tissue damage， lowered the level of DAO in the serum （P<0.01）， and down-regulated the mRNA levels of TNF-α and IL-1β （P<0.01） and the protein levels of p-MEK and p-ERK （P<0.05）. Sulfasalazine and low- and medium-dose Mume Fructus increased the positive expression of Occludin， Claudin-1， and ZO-1 （P<0.05， P<0.01）. Furthermore， high-dose Mume Fructus elevated the protein expression of Occludin （P<0.05）. ConclusionMume Fructus can restore the expression of intestinal epithelial tight junction proteins by inhibiting the phosphorylation of proteins in the MEK/ERK signaling pathway and down-regulating the levels of TNF-α and IL-1β， thus repairing the intestinal mucosal barrier in the mouse model of IBD.

ObjectiveTo investigate the modulating effect of modified Wumeiwan （MWMW） on the ulcerative colitis （UC）-associated intestinal helper T cell 17 （Th17）/regulatory T cell （Treg） balance and intestinal flora by using a human flora-associated model of UC patients with dampness-heat obstruction syndrome， thus providing a new idea for the UC-related research and therapeutic strategies. MethodsThe 24 male C57BL/6J mice were randomized into normal control， model， and MWMW groups （n=8）. Model and MWMW groups were first treated with an antibiotic cocktail （vancomycin， 0.1 g·kg^-1； neomycin sulfate， 0.2 g·kg^-1； ampicillin， 0.2 g·kg^-1； metronidazole， 0.2 g·kg^-1） for 21 days. At the end of antibiotic treatment， the gavage of fecal microbiota suspension from UC patients with dampness-heat obstruction syndrome was started at a dose of 0.2 mL·d^-1 for 19 consecutive days， by which a human flora-associated model of UC was obtained. The MWMW group was administrated daily with MWMW liquid （12.5 g·kg^-1）， while the normal control and model groups were administrated by gavage with an equal amount of sterile water for 7 consecutive days. The symptoms of dampness-heat obstruction were observed. The colon length and spleen index were measured and calculated， and the proportions of Th17 and Treg cells were detected by flow assay. The intestinal flora was analyzed by 16S rRNA high-throughput sequencing. ResultsCompared with the normal control group， the model group showed shortened colon （P<0.05） and increased spleen index （P<0.01）. Compared with the model group， the MWMW group showed prolonged colon （P<0.01） and decreased spleen index （P<0.05）. After the intervention of MWMW， the Th17 proportion and Th17/Treg ratio in the colon decreased （P<0.01）， and the proportion of Treg cells increased （P<0.05）. The number of species and alpha and beta diversity of intestinal flora in mice were regulated by MWMW （P<0.05）. In terms of intestinal flora composition， MWMW increased the relative abundance of several phyla （Firmicutes， Proteobacteria， Fusobacteriota， Actinobacteriota， and Gemmatimonadota）， the genus Bacteroides， and two species （Bacteroides thetaiotaomicron and B. fragilis） in model mice. Moreover， Spearman's correlation analysis showed that the relative abundance of B. thetaiotaomicron and B. fragilis were negatively correlated with the Th17 level （P<0.05）. In addition， the above changes in intestinal flora caused the changes in microbial genes involved in 14 pathways， such as glycolysis， amino acid degradation， inorganic nutrient metabolism， biosynthesis of pyrimidine deoxyribonucleotides， antibiotic resistance， and degradation of polysaccharides. ConclusionsThe human flora-associated model successfully simulated the changes （marked by a decrease in the abundance of Bacteroides） of intestinal flora in UC patients with dampness-heat obstruction syndrome. MWMW can enrich the abundance of beneficial bacteria such as B. thetaiotaomicron and B. fragilis and promote the synergistic intestinal immune modulation with the metabolic functions centered on glycolysis， amino acid metabolism， and nucleotide synthesis through bacterial polysaccharide utilization sites to reduce the Th17/Treg ratio， thereby exerting a protective effect on UC.

OBJECTIVE To investigate the improvement effects of 3，5，6，7，8，3′，4′-heptamethoxyflavone （HMF） of Fructus Aurantii on rats with damp blockage of the middle energizer. METHODS The rats were randomly divided into normal group， model group， positive control group （Raceanisodamine tablet， 1 mg/kg）， HMF low-dose， medium-dose and high-dose groups （0.3， 0.6， 0.9 mg/kg）， with 7 rats in each group. Except for the normal group， the other groups were modeled by internal and external composite factors. After successful modeling， the rats in each group were given the corresponding drug or normal saline， once a day， for 14 days. The general behavioral states such as dietary intake， water intake and mental state of the rats were observed， and the fecal water content rate and saliva flow rate were measured. Hematoxylin-eosin （HE） staining was used to observe the pathological and morphology in gastric and small intestinal tissues of rats. The plasma content of aldosterone was detected， and the expression of aquaporins （AQP3） in the gastric tissue of rats was determined. RESULTS Compared with the normal group， the dietary intake and water intake of the model group rats were significantly decreased （P＜0.01）， the fecal water content rate， salivary flow rate， plasma content of aldosterone and the expression of AQP3 in gastric tissue were increased significantly （P＜0.01）. Gastric tissue injury invaded the mucosal muscle layer， resulting in mucosal muscle layer rupture； pathological and morphological changes such as small intestinal villous erosion and glandular structure destruction were observed in the small intestine. Compared with the model group， the dietary intake and water intake of rats were increased in HMF groups； fecal water content rate， salivary flow rate， plasma content of aldosterone， the expression of AQP3 in gastric tissue were decreased， most of the above differences were statistically significant （P＜0.05 or P＜0.01）. The pathological and morphological changes in the gastric and small intestine tissues of rats had been improved to varying degrees. CONCLUSIONS HMF of Fructus Aurantii with dry property HMF could improve the symptoms of rats with damp blockage of middle energizer， the mechanism of which may be associated with reducing the content of plasma aldosterone and down-regulating the expression of gastric AQP3.

Objective To observe the improved effect of propofol on vascular hyporeactivity in septic rats and its underlying mechanism.Methods A total of 96 SD rats(12 weeks old,both genders,weighing 200～220 g)were randomly divided into sham group(n=16),sepsis group(n=16,cecal ligation and puncture),propofol group(n=16),propofol+ROCK inhibitor Y-27632 group(n=16),propofol+PKCαinhibitor GO6976 group(n=16),propofol+IP3 inhibitor 2-APB group(n=8)and propofol+gap junction inhibitor metoclopramide sodium(Movens)group(n=8).In vitro vascular ring reactivity and vascular calcium sensitivity were measured to observe the improved effects of propofol on vascular hyporeactivity in septic rats and its relationships with RhoA/ROCK,PKCα,IP3 and cell gap junction.Results Determination of in vitro vascular ring and calcium sensitivity showed that the contractile reactivity to norepinephrine(NE)and to calcium sensitivity were significantly decreased in the arterial rings isolated from the septic rats compared with those from the sham group,with the dose-response curve shifting to the right,and most significant decrease by 51.42％in the superior mesenteric artery(SMA,P＜0.05).Propofol treatment significantly improved the hyporeactivity and calcium sensitivity of the vessels isolated from the septic rats,especially those of the femoral artery with a recovery rate of 89.57％(P＜0.05).In comparison with the propofol group,the dose-response curves of the propofol+Y-27632 group and the propofol+GO6976 group were shifting to right,indicating that Y-27632 and GO6976 could significantly inhibit the amelioration of propofol on calcium sensitivity of SMA in severely septic rats with an inhibitory rate of 146.95％and 88.63％(P＜0.05),respectively.Isolated vascular reactivity measurement demonstrated that Y-27632 and Movens treatment significantly antagonized the ameliorated role of propofol on hyporeactivity of blood vessels from the septic rats with an inhibitory rate of 40.79％and 169.90％(P＜0.05),separately,while no such effect was observed in the propofol+GO6976 and propofol+2-APB groups.Conclusion Propofol treatment can significantly improve vascular hyporeactivity of septic rats,which may attribute to the increase of vascular calcium sensitivity through RhoA/ROCK pathway.

Objective To analyze the literature on artificial intelligence in forensic research from 2012 to 2022 in the Web of Science Core Collection Database,to explore research hotspots and developmen-tal trends.Methods A total of 736 articles on artificial intelligence in forensic medicine in the Web of Science Core Collection Database from 2012 to 2022 were visualized and analyzed through the litera-ture measuring tool CiteSpace.The authors,institution,country(region),title,journal,keywords,cited references and other information of relevant literatures were analyzed.Results A total of 736 articles published in 220 journals by 355 authors from 289 institutions in 69 countries(regions)were identi-fied,with the number of articles published showing an increasing trend year by year.Among them,the United States had the highest number of publications and China ranked the second.Academy of Forensic Science had the highest number of publications among the institutions.Forensic Science Inter-national,Journal of Forensic Sciences,International Journal of Legal Medicine ranked high in publica-tion and citation frequency.Through the analysis of keywords,it was found that the research hotspots of artificial intelligence in the forensic field mainly focused on the use of artificial intelligence technol-ogy for sex and age estimation,cause of death analysis,postmortem interval estimation,individual identification and so on.Conclusion It is necessary to pay attention to international and institutional cooperation and to strengthen the cross-disciplinary research.Exploring the combination of advanced ar-tificial intelligence technologies with forensic research will be a hotspot and direction for future re-search.