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.

OBJECTIVE: Hepatic fibrosis has been widely considered as a conjoint consequence of almost all chronic liver diseases. Chuanxiong Rhizoma (Chuanxiong in Chinese, CX) is a traditional Chinese herbal product to prevent cerebrovascular, gynecologic and hepatic diseases. Our previous study found that CX extracts significantly reduced collagen contraction force of hepatic stellate cells (HSCs). Here, this study aimed to compare the protection of different CX extracts on bile duct ligation (BDL)-induced liver fibrosis and investigate plausible underlying mechanisms. METHODS: The active compounds of CX extracts were identified by high performance liquid chromatography (HPLC). Network pharmacology was used to determine potential targets of CX against hepatic fibrosis. Bile duct hyperplasia and liver fibrosis were evaluated by serologic testing and histopathological evaluation. The expression of targets of interest was determined by quantitative real-time PCR (qPCR) and Western blot. RESULTS: Different CX extracts were identified by tetramethylpyrazine, ferulic acid and senkyunolide A. Based on the network pharmacological analysis, 42 overlap targets were obtained via merging the candidates targets of CX and liver fibrosis. Different aqueous, alkaloid and phthalide extracts of CX (CX_AE, CX_AL and CX_PHL) significantly inhibited diffuse severe bile duct hyperplasia and thus suppressed hepatic fibrosis by decreasing CCCTC binding factor (CTCF)-c-MYC-long non-coding RNA H19 (H19) pathway in the BDL-induced mouse model. Meanwhile, CX extracts, especially CX_AL and CX_PHL also suppressed CTCF-c-MYC-H19 pathway and inhibited ductular reaction in cholangiocytes stimulated with taurocholate acid (TCA), lithocholic acid (LCA) and transforming growth factor beta (TGF-β), as illustrated by decreased bile duct proliferation markers. CONCLUSION Our data supported that different CX extracts, especially CX_AL and CX_PHL significantly alleviated hepatic fibrosis and bile duct hyperplasia via inhibiting CTCF-c-MYC-H19 pathway, providing novel insights into the anti-fibrotic mechanism of CX.

Glucagon-like peptide-1 ( GLP-1 ) is secreted by gut enteroendocrine cells. GLP-1 receptor agonists ( GLP-1 RAs) control glucose-related augmentation of insulin and suppress glu-cagon secretion. GLP-lRAs also inhibit gastric emptying, food intake and limit weight gain. In the past decade, significant progresses have been made in the investigation on the effects of GLP-1 RAs on cardiovascular system. The potential advantages of oral small-molecule GLP-1 RAs could improve the application of this class of drugs. This review highlights the multiple cardiovascular profiles of GLP-1 RAs in the treatment of cardiovascular diseases to provide new insights into cardiovascular benefits of GLP-1 RAs.

Objective To explore the effect and mechanism of hydroxysafflor yellow A(HSYA)on autophagy in bEnd.3 cells after oxygen-glucose deprivation(OGD).Methods The bEnd.3 cells were divided into normal group(conventional culture),model group(OGD model),HSYA group(OGD model+75 μmol·L-1 HSYA),3-methyladenine(3MA)group(5 mmol·L-1 3MA+OGD model)and 3 MA+HSYA group(5 mmol·L-1 3 MA+OGD model+75 μmol·L-1 HSYA).The level of apoptosis was determined by TUNEL fluorescence staining;Western blot was used to detect the expression of autophagy,blood brain barrier(BBB)related proteins;real time fluorescence quantitative polymerase chain reaction method for determining the expression of sirtuin-1(SIRT1)and forkhead box protein O3a(FOXO3A)mRNA.Results In the normal group,model group,HSYA group,3MA group and 3MA+HSYA group,the positive cells selected for TUNEL staining were 5.00±1.00,28.00±2.00,21.00±3.00,35.33±2.51 and 29.67±2.52;the expression levels of microtubule-associated protein 1 light chain 3-Ⅱ/-Ⅰ(LC3-Ⅱ/-Ⅰ)were 0.90±0.20,1.34±0.10,1.95±0.14,0.76±0.15 and 1.14±0.09;sequestosome 1(P62)were 0.99±0.02,0.60±0.02,0.38±0.01,0.67±0.04 and 0.54±0.01;occludin were 1.39±0.17,0.62±0.15,1.00±0.09,0.40±0.13 and 0.80±0.15;zonula occludens-1(ZO-1)were 1.63±0.20,0.64±0.06,0.98±0.14,0.37±0.14 and 0.87±0.04;SIRT1 mRNA were 1.00±0.00,0.75±0.07,1.69±0.09,0.31±0.02 and 0.56±0.01;FOXO3A mRNA were 1.00±0.00,0.80±0.05,1.47±0.09,0.40±0.01 and 0.62±0.09,respectively.Significant differences were found between model group and normal group,HSYA group and model group,3MA+HSYA group and 3MA group(P＜0.05,P＜0.01,P＜0.001).Conclusion HSYA may enhance autophagy levels in bEnd.3 cells after OGD through the SIRT1/FOXO3A pathway,inhibit cell apoptosis and alleviate BBB damage.

Objective To observe the effects of Wuhu Decoction on autophagy and the expressions of IL-8,IL-23 and muc5ac in lung tissue of asthmatic mice induced by exosomes of bone marrow mesenchymal stem cells infected by RSV(BMSCs-Exo-RSV);To explore its mechanism in the treatment of asthma.Methods Totally 40 male SPF C57 mice were randomly divided into blank group,model group,Wuhu Decoction group and ribavirin group,with 10 mice in each group.The blank group was given PBS nasal drops,and the other groups were given BMSCs-Exo-RSV nasal drops once every other day for 7 times.24 hours after the end of modeling,Wuhu Decoction group was given Wuhu Decoction,and ribavirin group was given ribavirin solution,the blank group and model group were given distilled water,once a day,for consecutive 7 d.The general behavior of mice was observed,the peak expiratory flow(PEF)and forced vital capacity(FVC)were detected,HE and Masson staining were used to observe the inflammatory infiltration and collagen deposition in the lung tissue,RT-qPCR was used to detect the expressions of LC3A/B,beclin-1,p62,IL-8,IL-23 and muc5ac mRNA in lung tissue,Western blot was used to detect the expressions of LC3B,beclin-1 and p62 proteins in lung tissue,immunohistochemstry was used to detect the expression of IL-8,IL-23,muc5ac proteins in lung tissue.Results Compared with the blank group,the body mass of mice in the model group decreased,and showed behavioral changes such as shortness of breath,nodding wheezing,lifting of upper limbs,shrugging,vertical hair,scratching nose,etc.,the PEF and FVC were decreased(P<0.01),inflammatory infiltration and collagen deposition in lung tissue increased,the expressions of LC3A/B,beclin-1,IL-8,IL-23 and muc5ac mRNA in lung tissue increased,the expression of p62 mRNA decreased(P<0.01),while the expression of LC3BⅡ,beclin-1,IL-8,IL-23 and muc5ac proteins and the ratio of LC3BⅡ/Ⅰ increased(P<0.01),while the expression of LC3BⅠand p62 protein decreased(P<0.01).Compared with the model group,the symptoms of Wuhu Decoction group and ribavirin group were improved,the PEF and FVC were increased(P<0.01,P<0.05),the inflammatory infiltration and collagen deposition in lung tissue were reduced,the expression of LC3A/B,beclin-1,IL-8,IL-23 and muc5ac mRNA in lung tissue decreased(P<0.01),the expression of p62 mRNA increased(P<0.01),the expressions of LC3BⅡ,beclin-1,IL-8,IL-23 and muc5ac protein and the ratio of LC3BⅡ/Ⅰ decreased(P<0.05,P<0.01),while the expressions of LC3BⅠ and p62 protein increased(P<0.01).Conclusion BMSCs-Exo-RSV can promote autophagy and the expressions of IL-8,IL-23 and muc5ac in lung tissue of mice to induce asthma changes.Wuhu Decoction has therapeutic effect on asthmatic mice by inhibiting autophagy and reducing the expressions of IL-8,IL-23 and muc5ac.

ObjectiveDirected differentiation of human induced pluripotent stem cells （hiPSCs） into spinal cord γ-aminobutyric acid （GABA）-ergic progenitor cells were implanted into an decellularized optical nerve （DON） bioscaffold to construct a hiPSC-derived inhibitory neural network tissue with synaptic activities. This study aimed to provide a novel stem cell-based tissue engineering product for the study and the repair of central nervous system injury. MethodsThe combination of stepwise directional induction and tissue engineering technology was applied in this study. After hiPSCs were directionally induced into human neural progenitor cells （hNPCs） in vitro， they were seeded into a DON for three-dimensional culture， allowing further differentiation into inhibitory GABAergic neurons under the specific neuronal induction environment. Transmission electron microscopy and whole cell patch clamp technique were used to detect whether the hiPSCs differentiated neurons could form synapse-like structures and whether these neurons had spontaneous inhibitory postsynaptic currents， respectively， in order to validate that the hiPSC-derived neurons would form neural networks with synaptic transmission potentials from a structural and functional perspective. ResultsThe inhibitory neurons of GABAergic phenotype were successfully induced from hiPSCs in vitro， and maintained good viability after 28 days of culture. With the transmission electron microscopy， it was observed that many cell junctions were formed between hiPSC-derived neural cells in the three-dimensional materials， some of which presented a synapse- like structure， manifested as the slight thickness of cell membrane and a small number of vesicles within one side of the cell junctions， the typical structure of a presynatic component， and focal thickness of the membrane of the other side of the cell junctions， a typical structure of a postsynaptic component. According to whole-cell patch-clamp recording， the hiPSC-derived neurons had the capability to generate action potentials and spontaneous inhibitory postsynaptic currents were recorded in this biotissue. ConclusionsThe results of this study indicated that hiPSCs can be induced to differentiate into GABAergic progenitor cells in vitro and can successfully construct iPSC-derived inhibitory neural network tissue with synaptic transmission after implanted into a DON for three-dimensional culture. This study would provide a novel neural network tissue for future research and treatment of central nervous system injury by stem cell tissue engineering technology.