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.

Liver ischemia-reperfusion injury (LIRI) is a pathological process involving multiple injury factors and cell types, with different stages. Currently, protective drugs targeting a single condition are limited in efficacy, and interventions on immune cells will also be accompanied by a series of side effects. In the current bottleneck research stage, the multi-target and obvious clinical efficacy of Chinese medicine (CM) is expected to become a breakthrough point in the research and development of new drugs. In this review, we summarize the roles of reactive oxygen species (ROS) and reactive nitrogen species (RNS) in various stages of hepatic ischemia-reperfusion and on various types of cells. Combined with the current research progress in reducing ROS/RNS with CM, new therapies and mechanisms for the treatment of hepatic ischemia-reperfusion are discussed.
Reperfusion Injury/drug therapy* ; Reactive Oxygen Species/metabolism* ; Reactive Nitrogen Species/metabolism* ; Humans ; Liver/drug effects* ; Animals ; Medicine, Chinese Traditional ; Drugs, Chinese Herbal/pharmacology*

This study investigated the effects of Agrimoniae Herba-Coptidis Rhizoma(XHC-HL)-medicated serum on the proliferation, migration, invasion, and apoptosis of human colorectal cancer HT29 and HCT116 cells via the autophagy mediated by lysosome-associated membrane protein type 2A(LAMP2A). Bioinformatics analysis was conducted to explore the role of LAMP2A in the development and progression of colorectal cancer. Western blot(WB) was used to detect the expression of LAMP2A protein in colorectal cancer cell lines. Lentiviral transfection was utilized to construct LAMP2A knockdown in HT29 and overexpression in HCT116 colorectal cancer cell models. Real-time fluorescence quantitative polymerase chain reaction(real-time qPCR) was performed to assess transfection efficiency. HT29 and HCT116 cells were treated with different concentrations of XHC-HL-medicated serum. The cell counting kit-8(CCK-8) assay was used to detect cell proliferation and determine the optimal concentration and duration of medicated serum intervention. HT29 cells were divided into a normal control(NC) group, an XHC-HL(medicated serum treatment) group, and an XHC-HL+shLAMP2A(medicated serum treatment+LAMP2A knockdown) group. HCT116 cells were divided into a NC group, an XHC-HL group, and an XHC-HL+LAMP2A(medicated serum treatment+LAMP2A overexpression) group. CCK-8 was used to measure cell viability. Colony formation assay was employed to assess cell proliferation ability. Scratch and Transwell migration assays were conducted to evaluate cell migration ability, and Transwell invasion assay was used to detect cell invasion ability. Flow cytometry was adopted to determine apoptosis rates. WB and real-time qPCR were employed to detect the effect of XHC-HL on the protein and mRNA expression of LAMP2A, heat shock cognate protein 70(HSC70), heat shock protein 90(HSP90), and glyceraldehyde-3-phosphate dehydrogenase(GAPDH) in colorectal cancer cells. Differential expression analysis revealed that LAMP2A expression was significantly higher in colorectal cancer patients compared to that in normal controls. Survival analysis indicated that the key molecule of chaperone-mediated autophagy(CMA), LAMP2A, was closely associated with colorectal cancer progression. Gene set enrichment analysis showed that patients with high LAMP2A expression significantly upregulated tumor progression-related signaling pathways such as angiogenesis and immune suppression. Immune infiltration analysis found that patients with high LAMP2A expression had fewer CD8 T cell infiltrations in their tumor microenvironment. XHC-HL-medicated serum inhibited the viability of HT29 and HCT116 cells, with the optimal intervention concentration and duration being 20% and 48 hours, respectively. Compared to the NC group, XHC-HL inhibited the proliferation, migration, and invasion of HT29 and HCT116 cells, and induced apoptosis. The medicated serum treatment with LAMP2A knockdown further inhibited colorectal cancer cell proliferation, invasion, and migration, and promoted apoptosis, whereas overexpression of LAMP2A reversed the inhibitory effects of the medicated serum on proliferation, migration, and invasion, and reduced apoptosis rates. XHC-HL-medicated serum inhibited CMA by upregulating the protein and mRNA expression of LAMP2A, HSC70, and HSP90 and downregulating substrate protein GAPDH expression via the autophagy mediated by LAMP2A. In conclusion, XHC-HL-medicated serum inhibits the proliferation, migration, and invasion of colorectal cancer cells and induces apoptosis by downregulating the expression of the key CMA molecule LAMP2A and inhibiting CMA activity.
Humans ; Colorectal Neoplasms/pathology* ; Drugs, Chinese Herbal/pharmacology* ; Lysosomal-Associated Membrane Protein 2/metabolism* ; Cell Proliferation/drug effects* ; Autophagy/drug effects* ; HCT116 Cells ; Cell Movement/drug effects* ; Apoptosis/drug effects* ; HT29 Cells ; Serum/chemistry* ; Coptis chinensis

This study aims to investigate the effect and mechanism of the herb pair Agrimoniae Herba-Coptidis Rhizoma in inhibiting angiogenesis in the colorectal cancer inflammatory microenvironment by using the method of network pharmacology and the zebrafish model. The method of network pharmacology was employed to obtain the active components, potential core targets, and signaling pathways regulated by the herb pair in inhibiting angiogenesis in the inflammatory microenvironment of colorectal cancer, on the basis of which the underlying mechanism was predicted. The zebrafish model of colorectal cancer was established, and the inflammatory microenvironment was modeled. The effects of different concentrations of the herb pair on the area, number, and length of intersegmental vessels(ISVs) of the zebrafish model were observed. Western blot and real-time quantitative PCR were employed to measure the protein and mRNA levels, respectively, of vascular endothelial growth factor A(VEGFA), vascular epidermal growth factor receptor 2(VEGFR2, also known as kdrl, Flk1), and vascular epidermal growth factor receptor 3(VEGFR3, also known as Flt4). A total of 18 active components and 488 potential targets of Agrimoniae Herba-Coptidis Rhizoma were predicted, and 108 common targets were shared by the herb pair and the disease. According to the results of KEGG pathway enrichment analysis, the angiogenesis-related factors VEGFA, kdrl, and Flt4 in the VEGFA/VEGFR2 signaling pathway were selected for verification. The zebrafish experiment showed that compared with the blank group, the model group showed increased area, number, and length of ISVs in the inflammatory microenvironment. Compared with the model group, the herb pair decreased the area, number, and length of ISVs in a concentration-dependent manner. Compared with the blank group, the model group showed up-regulated protein and mRNA levels of VEGFA, kdrl, and Flt4 in the inflammatory microenvironment. Compared with the model group, the herb pair down-regulated the protein and mRNA levels of VEGFA, kdrl, and Flt4 in a concentration-dependent manner. The results indicated that in the colorectal cancer inflammatory microenvironment, the herb pair Agrimoniae Herba-Coptidis Rhizoma could inhibit angiogenesis via multiple components, targets, and pathways. The anti-angiogenesis effect might be related to the down-regulation of the expression levels of angiogenesis-related factors VEGFA, kdrl, and Flt4 in the VEGFA/VEGFR2 signaling pathway.
Zebrafish ; Animals ; Drugs, Chinese Herbal/pharmacology* ; Network Pharmacology ; Colorectal Neoplasms/metabolism* ; Neovascularization, Pathologic/drug therapy* ; Humans ; Vascular Endothelial Growth Factor A/metabolism* ; Tumor Microenvironment/drug effects* ; Angiogenesis Inhibitors/pharmacology* ; Vascular Endothelial Growth Factor Receptor-2/metabolism* ; Signal Transduction/drug effects* ; Coptis chinensis ; Inflammation/drug therapy* ; Angiogenesis

Objective:To investigate the effects of naringin(NRG)on apoptosis,proliferation,migration and invasion of oral squa-mous cell carcinoma(OSCC)cells.Methods:NRG of 0,5,10,15,20,25 and 30 μmol/L was respectively used to treat OSCC CAL-27 cells,and CCK-8 assay was used to cell vitality.CAL-27 cells were divided into low,medium and high dose NRG groups(NRG-L,NRG-M and NRG-H),Compound C(AMPK inhibitor)group,NRG-H+Compound C group,and control group(NC group,normal cul-ture).Cell proliferation,apoptosis,migration and invasion were detected by CCK-8 assay,EdU staining,flow cytometry,scratch and Tr-answell assays.The expression of aspartate specific cysteine proteinase-3(Caspase-3),proliferating cell nuclear antigen(PCNA),matrix metalloproteinase-2(MMP-2),MMP-9,p-AMPK,sirtuin 1(SIRT1)and acetylated NF-κB p65(Ac-NF-κB p65)was detected by Western blot.Results:5,10 and 20 μmol/L NRG was selected as the low,medium and high dose for the treatment of CAL-27 cells,re-spectively.Compared with NC group,in NRG-L,NRG-M and NRG-H groups EdU positive rate,scratch healing rate,A450 value,num-ber of invasive cells,the protein expression of PCNA,MMP-2,MMP-9 and Ac-NF-κB p65 in CAL-27 cells decreased,the apoptosis rate,and the protein of Caspase-3,p-AMPK,and SIRT1 increased(P＜0.05);in Compound C group EdU positive rate,scratch healing rate,A450 value,the number of invasive cells,the protein expression of PCNA,MMP-2,MMP-9 and Ac-NF-κB p65 in CAL-27 cells in-creased,apoptosis rate and the protein expression of Caspase-3,p-AMPK and SIRT1 decreased(P＜0.05).Compound C reversed the effects of high dose NRG on the proliferation,migration,apoptosis and invasion of CAL-27 cells.Conclusion:The inhibitory effects of NRG on proliferation,migration and invasion of CAL-27 cells and the promotion of apoptosis may be related to activation of AMPK and inhibition of NF-κB pathway.

Objective Recombinase-aided polymerase chain reaction(RAP)is a sensitive,single-tube,two-stage nucleic acid amplification method.This study aimed to develop an assay that can be used for the early diagnosis of three types of bacteremia caused by Staphylococcus aureus(SA),Pseudomonas aeruginosa(PA),and Acinetobacter baumannii(AB)in the bloodstream based on recombinant human mannan-binding lectin protein(M1 protein)-conjugated magnetic bead(M1 bead)enrichment of pathogens combined with RAP. Methods Recombinant plasmids were used to evaluate the assay sensitivity.Common blood influenza bacteria were used for the specific detection.Simulated and clinical plasma samples were enriched with M1 beads and then subjected to multiple recombinase-aided PCR(M-RAP)and quantitative PCR(qPCR)assays.Kappa analysis was used to evaluate the consistency between the two assays. Results The M-RAP method had sensitivity rates of 1,10,and 1 copies/μL for the detection of SA,PA,and AB plasmids,respectively,without cross-reaction to other bacterial species.The M-RAP assay obtained results for<10 CFU/mL pathogens in the blood within 4 h,with higher sensitivity than qPCR.M-RAP and qPCR for SA,PA,and AB yielded Kappa values of 0.839,0.815,and 0.856,respectively(P<0.05). Conclusion An M-RAP assay for SA,PA,and AB in blood samples utilizing M1 bead enrichment has been developed and can be potentially used for the early detection of bacteremia.