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.

ObjectiveTraditional Chinese medicine (TCM) constitutes a valuable cultural heritage and an important source of antitumor compounds. Poria (Poria cocos (Schw.) Wolf), the dried sclerotium of a polyporaceae fungus, was first documented in Shennong’s Classic of Materia Medica and has been used therapeutically and dietarily in China for millennia. Traditionally recognized for its diuretic, spleen-tonifying, and sedative properties, modern pharmacological studies confirm that Poria exhibits antioxidant, anti-inflammatory, antibacterial, and antitumor activities. Pachymic acid (PA; a triterpenoid with the chemical structure 3β-acetyloxy-16α-hydroxy-lanosta-8,24(31)-dien-21-oic acid), isolated from Poria, is a principal bioactive constituent. Emerging evidence indicates PA exerts antitumor effects through multiple mechanisms, though these remain incompletely characterized. Neuroblastoma (NB), a highly malignant pediatric extracranial solid tumor accounting for 15% of childhood cancer deaths, urgently requires safer therapeutics due to the limitations of current treatments. Although PA shows multi-mechanistic antitumor potential, its efficacy against NB remains uncharacterized. This study systematically investigated the potential molecular targets and mechanisms underlying the anti-NB effects of PA by integrating network pharmacology-based target prediction with experimental validation of multi-target interactions through molecular docking, dynamic simulations, and in vitro assays, aimed to establish a novel perspective on PA’s antitumor activity and explore its potential clinical implications for NB treatment by integrating computational predictions with biological assays. MethodsThis study employed network pharmacology to identify potential targets of PA in NB, followed by validation using molecular docking, molecular dynamics (MD) simulations, MM/PBSA free energy analysis, RT-qPCR and Western blot experiments. Network pharmacology analysis included target screening via TCMSP, GeneCards, DisGeNET, SwissTargetPrediction, SuperPred, and PharmMapper. Subsequently, potential targets were predicted by intersecting the results from these databases via Venn analysis. Following target prediction, topological analysis was performed to identify key targets using Cytoscape software. Molecular docking was conducted using AutoDock Vina, with the binding pocket defined based on crystal structures. MD simulations were performed for 100 ns using GROMACS, and RMSD, RMSF, SASA, and hydrogen bonding dynamics were analyzed. MM/PBSA calculations were carried out to estimate the binding free energy of each protein-ligand complex. In vitro validation included RT-qPCR and Western blot, with GAPDH used as an internal control. ResultsThe CCK-8 assay demonstrated a concentration-dependent inhibitory effect of PA on NB cell viability. GO analysis suggested that the anti-NB activity of PA might involve cellular response to chemical stress, vesicle lumen, and protein tyrosine kinase activity. KEGG pathway enrichment analysis suggested that the anti-NB activity of PA might involve the PI3K/AKT, MAPK, and Ras signaling pathways. Molecular docking and MD simulations revealed stable binding interactions between PA and the core target proteins AKT1, EGFR, SRC, and HSP90AA1. RT-qPCR and Western blot analyses further confirmed that PA treatment significantly decreased the mRNA and protein expression of AKT1, EGFR, and SRC while increasing the HSP90AA1 mRNA and protein levels. ConclusionIt was suggested that PA may exert its anti-NB effects by inhibiting AKT1, EGFR, and SRC expression, potentially modulating the PI3K/AKT signaling pathway. These findings provide crucial evidence supporting PA’s development as a therapeutic candidate for NB.

The pathogenesis of Alzheimer's disease(AD)is complex and unclear.Existing drugs can only alleviate its symp-toms,and there is an urgent need to develop effective therapeutic drugs.As the representative drugs of tonic and enlightening medicine,ginseng and acorus calamus have pharmacological effects to improve memory,improve learning ability and reduce cognitive impairment,which are commonly used in Chinese med-icine for the treatment of dementia.The combination of ginseng and acorus calamus can further promote the active ingredients in-to brain to exert their medicinal effects,and delay the process of AD through anti-inflammatory,anti-oxidative stress,modulation of neuronal-synaptic plasticity and other multiple pathways,with multi-level,multi-system and multi-target action characteristics.This paper attempts to summarize the existing research results and lay the foundation for further exploring the synergistic mech-anism of action of ginseng-acorus calamus combination and the dose-effect relationship of the combination,so as to provide a sci-entific basis for the development of innovative Chinese medicines for the prevention and treatment of AD.

Aim To investigate the possible mechanism of action of Qingjie Huagong decoction(QJHGD)on acute lung injury(ALI)associated with severe acute pancreatitis(SAP)using network pharmacology,and to verify it by animal experiments.Methods The TC-MSP,BATMAN-TCM,ETCM,and SwissTargetPredic-tion databases were searched to obtain the action tar-gets of the blood-entering active ingredients of each drug in the QJHGD.The GeneCard database was searched to obtain SAP-ALI disease targets.The drug targets and disease targets were intersected to obtain common targets.Subsequently,the common targets were analyzed by STRING database and Cytoscape 3.7.1 software for protein interaction network analysis.GO and KEGG enrichment analysis was performed with the help of DAVID database.Finally,the key signa-ling pathways were verified by animal experiments.Results A total of 28 active ingredients were screened out for the treatment of SAP-ALI with 42 common tar-gets.PPI network analysis showed that STAT3,IL-6,and TGFB1 might be core targets;GO and KEGG en-richment analysis mainly involved cell proliferation,PI3K/AKT signaling pathways,etc.Animal experi-ments confirmed that QJHGD could improve the pathol-ogy of pancreas and lung tissues in SAP-ALI rat mod-el,down-regulate the expression levels of α-amylase,lipase,IL-1 β,IL-6,and TNF-α in serum,and down-regulate the expression levels of proteins and mRNAs related to PI3K/AKT1 signaling pathway in lung tis-sues.Conclusion QJHGD synergistically treats SAP-ALI through multi-component,multi-target,and multi-pathway,with a mechanism that may be related to the inhibition of PI3K/AKT signaling pathway activation.

Exosomes represent a class of nanoscale extracellular vesicles that facilitate the exchange of genetic information among various cells.Alzheimer's disease(AD)stands as a progressive neurodegenerative disorder characterized by its subtle and advan-cing onset,representing the foremost form of dementia lacking effective therapeutic interventions.Notably,investigations have illuminated the involvement of exosomes in the pathogenesis of AD,attributing diagnostic and therapeutic significance to their role,particularly concerning exosomal microRNAs(miRNA).The miRNAs carried by exosomes serve as potential biomarkers for AD,while also exhibiting potential benefits in ameliorating cognitive dysfunction in individuals afflicted by AD.This article aims to comprehensively review the origins of exosomes(encom-passing both mesenchymal cell-derived exosomes and brain-de-rived exosomes)and their potential as therapeutic agents targe-ting AD.

Objective To explore the incidence and imaging characteristics of bifid ribs of Tibetan population in Kangbei area by multi-slice spiral CT(MSCT),in order to provide imaging reference for clinical diagnosis and treatment.Methods The imaging data of 1 253 Tibetan patients(661 males and 592 females)in Kangbei area who underwent chest MSCT examination were retrospectively analyzed.The incidence of bifid ribs and its differences between genders and sides were counted.The location of bifid ribs,the morphological charac-teristics of the junction of bifid ribs and costal cartilage,and the change of adjacent intercostal space were observed.Results Among 1 253 patients with chest MSCT,57 patients had bifid ribs,with a total of 64 bifid ribs.The incidence of bifid ribs at the patient level was 4.55%,of which 51 cases had single bifid rib and 6 cases had multiple bifid ribs;the incidence of bifid ribs in male was 4.99%(33/661),the female was 4.05%(24/592),and the difference between genders was not statistically significant(P>0.05).The incidence of bifid ribs was 56.14%(32/57)on the right side,33.33%(19/57)on the left side,and 10.53%(6/57)on both sides,the differences between different sides were statistically significant(P<0.05).The bifid ribs were found in the 2nd to 8th ribs,mainly in the 3rd to 5th ribs.A total of 55(85.94%)junctions of bifid ribs and costal cartilage were obturator type,5(7.81%)junctions were incompletehole shape type,3(4.69%)junctions were double costal cartilage type and 1(1.56%)junction was other type;62(96.88%)junctions were narrow in the upper intercostal space.Conclusion The incidence of bifid ribs of the Tibetan population in Kangbei area is 4.55%,which mainly occurs in the 3rd to 5th ribs,and the obturator type is more common,with the upper intercostal space narrow.MSCT can make accurate diagnosis of bifid ribs and provide accurate imaging evaluation for clinical practice.