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.

Pyroptosis, an inflammatory caspase-dependent programmed cell death, plays a vital role in maintaining tissue homeostasis and activating inflammatory responses. Orthodontic tooth movement (OTM) is an aseptic force-induced inflammatory bone remodeling process mediated by the activation of periodontal ligament (PDL) progenitor cells. However, whether and how force induces PDL progenitor cell pyroptosis, thereby influencing OTM and alveolar bone remodeling remains unknown. In this study, we found that mechanical force induced the expression of pyroptosis-related markers in rat OTM and alveolar bone remodeling process. Blocking or enhancing pyroptosis level could suppress or promote OTM and alveolar bone remodeling respectively. Using Caspase-1^-/- mice, we further demonstrated that the functional role of the force-induced pyroptosis in PDL progenitor cells depended on Caspase-1. Moreover, mechanical force could also induce pyroptosis in human ex-vivo force-treated PDL progenitor cells and in compressive force-loaded PDL progenitor cells in vitro, which influenced osteoclastogenesis. Mechanistically, transient receptor potential subfamily V member 4 signaling was involved in force-induced Caspase-1-dependent pyroptosis in PDL progenitor cells. Overall, this study suggested a novel mechanism contributing to the modulation of osteoclastogenesis and alveolar bone remodeling under mechanical stimuli, indicating a promising approach to accelerate OTM by targeting Caspase-1.
Animals ; Humans ; Mice ; Rats ; Bone Remodeling/physiology* ; Caspase 1 ; Periodontal Ligament ; Pyroptosis ; Tooth Movement Techniques

OBJECTIVE To introduce a case of interstitial pneumonia induced by vedolizumab （VDZ）， summarize and analyze the characteristics of the occurrence of VDZ-associated lung toxicity， and provide a reference for the clinically safe use of drugs. METHODS From the perspective of clinical pharmacists， the diagnosis and treatment of a case of VDZ-induced interstitial pneumonia were retrospectively analyzed， and the association of adverse drug reactions （ADR） was analyzed. Retrieving from Chinese and English databases such as CNKI， VIP， PubMed and Web of Science， case reports of VDZ-associated lung toxicity were summarized and analyzed. RESULTS The patient developed interstitial pneumonia during the use of VDZ and empirical anti- infective therapy with antibiotics was ineffective. After withdrawal of VDZ and treatment with methylprednisolone， symptoms and imaging examinations improved， but interstitial pneumonia still existed. According to Naranjo’s ADR evaluation scale and based on China Adverse Drug Reaction Reporting and Monitoring Manual， the association between VDZ and interstitial pneumonia was “very likely”. Results of the literature analysis showed that among 29 involved patients （including the patient reported in this article）， there were 19 males and 10 females， with an average age of （49.24±17.06） years. Lung toxicity mainly included VDZ- associated pneumonia， eosinophilic pneumonia， pulmonary granulomas or necrobiotic nodules， interstitial lung injury， etc.， which mostly occurred ≤24 weeks after medication （58.62%）. The main clinical manifestations included cough， dyspnea and fever. The vast majority of patients improved or recovered after drug withdrawal and/or glucocorticoid treatment， but one patient died of respiratory failure. CONCLUSIONS Lung toxicity is a rare ADR of VDZ with insidious onset and nonspecific symptoms. Once patients experience symptoms such as cough and dyspnea， early diagnosis，timely drug withdrawal，and symptomatic treatment measures such as glucocorticoid should be taken to ensure medication safety.

OBJECTIVE To establish HPLC fingerprint of Guzhecuoshang capsules, and its quality was evaluated by chemical pattern recognition. METHODS The HPLC-DAD method was used to establish the fingerprint of Guzhecuoshang capsules. The main chromatographic peaks were confirmed and assigned, and finally analyzed them through cluster analysis(CA), principal component analysis(PCA) and orthogonal partial least squares discriminant analysis(OPLS-DA) models. RESULTS The similarity of 75 batches of Guzhecuoshang capsules was covered from 0.685 to 0.986. A total of 26 common peaks were marked, and 6 components were identified respectively: hydroxysafflor yellow A(peak 1), ferulic acid(peak 6), aloeemodin(peak 15), emodin(peak 19), chrysophanol(peak 24) and physcion(peak 26). CA could be divided into five categories. The PCA and OPLS-DA screened out 13 main differentially contributing components, and it was indicated by the attribution of components that controlling the quality of safflower play an important role in ensuring the stability of the quality of Guzhecuoshang capsules. CONCLUSION The established HPLC fingerprint is relatively stable and reliable, which can basically reflect the characteristics of the chemical components in the compound, and can also provide a reference for the quality control and standard improvement of Guzhecuoshang capsules.

Permeability is one of the determinants of intestinal absorption and oral bioavailability. The non-cell-based permeation model is a kind of in vitro permeability measurement tool, which has the advantages of high efficiency, low cost, stable property, easy to use and customizable. According to the barrier type, non-cell-based permeation model can be divided into biomimetic barriers containing (phosphate) lipids and non-biomimetic barriers without lipids. Biomimetic permeation models include parallel artificial membrane permeability assay, vesicle-based permeation assay and PermeaPad®. Non biomimetic permeation models include Hollow fiber membrane models based on polyether sulfone materials. In foreign countries, the application of these four barriers for different purposes is gradually becoming a hot spot in drug absorption research. However, in China, there are only more applied studies on PMAPM and few published applied studies on the other three barriers. In order to meet the development needs of insoluble drug formulations, the author summarized the permeability devices and permeability calculation methods, searched the application of non-cell-based permeation model in the permeability of BSCⅡ drugs in recent years, and summarized the characteristic applications of three Biomimetic permeation models and hollow fiber membranes.

The intestinal flora and gut barrier function are of great significance for gut function and human health. When the intestinal flora is disrupted and the gut barrier structure is disrupted, it can lead to bacterial translocation, endotoxin influx into the bloodstream, and the production of pro-inflammatory factors, leading to various tissue damage in the body. Tongfu method in TCM can affect the intestinal environment by regulating intestinal permeability and immune response, restoring normal intestinal movement, and regulating the structure and metabolites of intestinal flora, thereby maintaining intestinal homeostasis and body health. The research on regulating intestinal flora and improving intestinal barrier function by Tongfu method can provide reference for further research on the relationship between TCM and intestinal microecology, and provide ideas for clinical treatment.