Objective: Accurate evaluation of inflammation severity in ulcerative colitis (UC) can guide treatment strategy selection. The potential value of the pericolic fat attenuation index (FAI) on CT as an indicator of disease severity remains unknown.This study aimed to assess the diagnostic accuracy of pericolic FAI in predicting UC severity. Materials and Methods: This retrospective study enrolled 148 patients (mean age 48 years; 87 males). The fat attenuation on CT was measured in four different locations: the mesocolic vascular side (MS) and opposite side of MS (OMS) around the most severe bowel lesion, the retroperitoneal space (RS), and the subcutaneous area. The fat attenuation indices (FAI MS, FAI OMS, and FAI RS) were calculated as the fat attenuation measured in MS, OMS, and RS, respectively, minus that of the subcutaneous area, and were obtained in the non-enhanced, arterial, and delayed phases. Correlations between the FAI and UC Endoscopic Index of Severity (UCEIS) were assessed using Spearman’s correlation. Predictors of severe UC (UCEIS ≥7) were selected by univariable analysis. The performance of FAI in predicting severe UC was evaluated using the area under the receiver operating characteristic curve (AUC). Results: The FAIMS and FAI OMS scores were significantly higher than FAI RS in three phases (all P < 0.001). The FAIMS and FAI OMS scores moderately correlated with the UCEIS score (r = 0.474–0.649 among the three phases). Additionally, FAI MS and FAI OMS identified severe UC, with AUC varying from 0.77 to 0.85. Conclusion Increased CT attenuation of pericolic adipose tissue could serve as a noninvasive marker for evaluating UC severity. FAI MS and FAI OMS of three phases showed similar prediction accuracies for severe UC identification.

Objective: Accurate evaluation of inflammation severity in ulcerative colitis (UC) can guide treatment strategy selection. The potential value of the pericolic fat attenuation index (FAI) on CT as an indicator of disease severity remains unknown.This study aimed to assess the diagnostic accuracy of pericolic FAI in predicting UC severity. Materials and Methods: This retrospective study enrolled 148 patients (mean age 48 years; 87 males). The fat attenuation on CT was measured in four different locations: the mesocolic vascular side (MS) and opposite side of MS (OMS) around the most severe bowel lesion, the retroperitoneal space (RS), and the subcutaneous area. The fat attenuation indices (FAI MS, FAI OMS, and FAI RS) were calculated as the fat attenuation measured in MS, OMS, and RS, respectively, minus that of the subcutaneous area, and were obtained in the non-enhanced, arterial, and delayed phases. Correlations between the FAI and UC Endoscopic Index of Severity (UCEIS) were assessed using Spearman’s correlation. Predictors of severe UC (UCEIS ≥7) were selected by univariable analysis. The performance of FAI in predicting severe UC was evaluated using the area under the receiver operating characteristic curve (AUC). Results: The FAIMS and FAI OMS scores were significantly higher than FAI RS in three phases (all P < 0.001). The FAIMS and FAI OMS scores moderately correlated with the UCEIS score (r = 0.474–0.649 among the three phases). Additionally, FAI MS and FAI OMS identified severe UC, with AUC varying from 0.77 to 0.85. Conclusion Increased CT attenuation of pericolic adipose tissue could serve as a noninvasive marker for evaluating UC severity. FAI MS and FAI OMS of three phases showed similar prediction accuracies for severe UC identification.

Objective: Accurate evaluation of inflammation severity in ulcerative colitis (UC) can guide treatment strategy selection. The potential value of the pericolic fat attenuation index (FAI) on CT as an indicator of disease severity remains unknown.This study aimed to assess the diagnostic accuracy of pericolic FAI in predicting UC severity. Materials and Methods: This retrospective study enrolled 148 patients (mean age 48 years; 87 males). The fat attenuation on CT was measured in four different locations: the mesocolic vascular side (MS) and opposite side of MS (OMS) around the most severe bowel lesion, the retroperitoneal space (RS), and the subcutaneous area. The fat attenuation indices (FAI MS, FAI OMS, and FAI RS) were calculated as the fat attenuation measured in MS, OMS, and RS, respectively, minus that of the subcutaneous area, and were obtained in the non-enhanced, arterial, and delayed phases. Correlations between the FAI and UC Endoscopic Index of Severity (UCEIS) were assessed using Spearman’s correlation. Predictors of severe UC (UCEIS ≥7) were selected by univariable analysis. The performance of FAI in predicting severe UC was evaluated using the area under the receiver operating characteristic curve (AUC). Results: The FAIMS and FAI OMS scores were significantly higher than FAI RS in three phases (all P < 0.001). The FAIMS and FAI OMS scores moderately correlated with the UCEIS score (r = 0.474–0.649 among the three phases). Additionally, FAI MS and FAI OMS identified severe UC, with AUC varying from 0.77 to 0.85. Conclusion Increased CT attenuation of pericolic adipose tissue could serve as a noninvasive marker for evaluating UC severity. FAI MS and FAI OMS of three phases showed similar prediction accuracies for severe UC identification.

Objective: Accurate evaluation of inflammation severity in ulcerative colitis (UC) can guide treatment strategy selection. The potential value of the pericolic fat attenuation index (FAI) on CT as an indicator of disease severity remains unknown.This study aimed to assess the diagnostic accuracy of pericolic FAI in predicting UC severity. Materials and Methods: This retrospective study enrolled 148 patients (mean age 48 years; 87 males). The fat attenuation on CT was measured in four different locations: the mesocolic vascular side (MS) and opposite side of MS (OMS) around the most severe bowel lesion, the retroperitoneal space (RS), and the subcutaneous area. The fat attenuation indices (FAI MS, FAI OMS, and FAI RS) were calculated as the fat attenuation measured in MS, OMS, and RS, respectively, minus that of the subcutaneous area, and were obtained in the non-enhanced, arterial, and delayed phases. Correlations between the FAI and UC Endoscopic Index of Severity (UCEIS) were assessed using Spearman’s correlation. Predictors of severe UC (UCEIS ≥7) were selected by univariable analysis. The performance of FAI in predicting severe UC was evaluated using the area under the receiver operating characteristic curve (AUC). Results: The FAIMS and FAI OMS scores were significantly higher than FAI RS in three phases (all P < 0.001). The FAIMS and FAI OMS scores moderately correlated with the UCEIS score (r = 0.474–0.649 among the three phases). Additionally, FAI MS and FAI OMS identified severe UC, with AUC varying from 0.77 to 0.85. Conclusion Increased CT attenuation of pericolic adipose tissue could serve as a noninvasive marker for evaluating UC severity. FAI MS and FAI OMS of three phases showed similar prediction accuracies for severe UC identification.

Objective: Accurate evaluation of inflammation severity in ulcerative colitis (UC) can guide treatment strategy selection. The potential value of the pericolic fat attenuation index (FAI) on CT as an indicator of disease severity remains unknown.This study aimed to assess the diagnostic accuracy of pericolic FAI in predicting UC severity. Materials and Methods: This retrospective study enrolled 148 patients (mean age 48 years; 87 males). The fat attenuation on CT was measured in four different locations: the mesocolic vascular side (MS) and opposite side of MS (OMS) around the most severe bowel lesion, the retroperitoneal space (RS), and the subcutaneous area. The fat attenuation indices (FAI MS, FAI OMS, and FAI RS) were calculated as the fat attenuation measured in MS, OMS, and RS, respectively, minus that of the subcutaneous area, and were obtained in the non-enhanced, arterial, and delayed phases. Correlations between the FAI and UC Endoscopic Index of Severity (UCEIS) were assessed using Spearman’s correlation. Predictors of severe UC (UCEIS ≥7) were selected by univariable analysis. The performance of FAI in predicting severe UC was evaluated using the area under the receiver operating characteristic curve (AUC). Results: The FAIMS and FAI OMS scores were significantly higher than FAI RS in three phases (all P < 0.001). The FAIMS and FAI OMS scores moderately correlated with the UCEIS score (r = 0.474–0.649 among the three phases). Additionally, FAI MS and FAI OMS identified severe UC, with AUC varying from 0.77 to 0.85. Conclusion Increased CT attenuation of pericolic adipose tissue could serve as a noninvasive marker for evaluating UC severity. FAI MS and FAI OMS of three phases showed similar prediction accuracies for severe UC identification.

Metabolic dysfunction-associated fatty liver disease (MAFLD), characterized by fatty acid overload, secondary chronic inflammation, and fibrosis, has become the most prevalent chronic liver disease globally. While no effective pharmacotherapy exists for MAFLD, mitigating inflammatory responses represents a promising approach to preventing the progression from steatosis to severe steatohepatitis. The NOD-like receptor family pyrin domain containing 3 (NLRP3) inflammasome, which detects endogenous danger and stress signals, has emerged as a significant target for inflammatory disease treatment, as transcriptional inactivation of its components demonstrates the therapeutic potential for MAFLD. Natural products targeting NLRP3 inflammasome activation have shown promising efficacy in MAFLD therapy. This review synthesizes the current understanding of NLRP3 inflammasome activation and therapeutic targets for NLRP3 homeostasis. Additionally, natural products reported to inhibit NLRP3 inflammasome for MAFLD improvement are categorized according to their mechanisms of action. The review also addresses limitations and future directions regarding natural products targeting NLRP3 inflammasome in MAFLD treatment. Enhanced understanding of NLRP3 inflammasome activation mechanisms in MAFLD and the identification of novel natural products supported by mechanistic research will significantly advance MAFLD treatment.
Humans ; NLR Family, Pyrin Domain-Containing 3 Protein/immunology* ; Inflammasomes/metabolism* ; Biological Products/therapeutic use* ; Animals ; Fatty Liver/immunology*

Objective The present situation and hotspots of KM mouse research were visualized by CiteSpace software,which provided a reference for breaking through the bottleneck of KM mouse research and finding new ideas in China.Methods A total of 3981 articles were retrieved from CNKI and Web of Science databases from January 1,2004 to June 10,2023,of which the number of publications,countries(regions),institutions,author cooperation network,keyword co-occurrence,clustering,burst words,and cited English literature for analysis.Results The number of documents published in Chinese was decreased and the number of documents published in English was increased gradually in KM mouse research.The three countries with the most published articles were China,the United States,and Japan,where the leading research institutions were the China Agricultural University,Chinese Academy of Sciences,and Nanjing University of Chinese Medicine.The main authors at home and abroad were Liu Weihui,Li Guangwu,and Zhao Xin.The domestic research focused on the toxicology,immunology,and reproduction of KM mouse,and the foreign research focused on the cell biology and physiology of KM mouse.Conclusions KM mouse have been used and popularized in our country for more than 70 years,mainly focusing on toxicology,immunology,and reproduction.Although the use of KM mouse has led tove made allowed some achievements in experiments,certain it is necessary to solve their problems in the future,such as the standardization of population breeding,the discovery of the dominant research fields,and the further promotion of animal ethics,should be resolved.

Objective Using literature metrology,scientific literature in the field of depression models in animals was analyzed to better understand the development trends and hot topics in this field.Methods We obtained publications on depression and animal models from 2013 to 2022 from the Web of Science core set database.CiteSpace 6.1 R1(64-bit)Basic was used to analyze annual publications,countries,institutions,authors,and keywords related to this field.Results A total of 1000 articles were included in this study.From 2013 to 2022,the number of articles published increased gradually and then stabilized.In terms of the number of articles,the United States had the most published articles(256).Wegener Gregers was the most influential author in the field with 23 published articles.Conclusions The field focuses on signaling pathways and therapeutic approaches to determine the pathogenesis of depression and better treatments.This study provides a visual analysis of trends in depression research to help researchers keep up with the latest developments.

Objective To investigate whether curcumin alleviates septic lung injury by inhibiting ferroptosis through modulating the TXNIP/TRX-1/GPX4 pathway.Methods Male C57BL/6 mice were randomly divided into Sham group,cecal ligation puncture(CLP)-induced sepsis group,CLP with curcumin treatment(50,100,and 200 mg/kg)groups,and CLP with both curcumin(200 mg/kg)and TRX-1 inhibitor PX-12(25 mg/kg)treatment group.Inflammatory factors,MDA,MPO,and GSH levels in the lung tissue of the mice were detected.Beas-2B cells stimulated with lipopolysaccharide(LPS;1 μg/mL)were treated with 2.5,5,or 10 μmol/L curcumin or with 10 μmol/L curcumin combined with 5 μmol/L PX-12,and the changes in MDA,Fe2+and ROS levels were assessed.Western blotting was performed to detect the protein expressions of TXNIP,TRX-1,GPX4 and X-CT in both the mouse lung tissues and Beas-2B cells.Results The mice with CLP-induced sepsis showed severe lung injury with elevated expressions of IL-6,IL-1β,TNF-α,MDA and MPO and decreased GSH expression.In Beas-2B cells,LPS stimulation significantly increased MDA and Fe2+levels and ROS release,increased TXNIP protein expression,and lowered the protein expression levels of TRX-1,GPX4 and X-CT,and these changes were also observed in the septic mice.Curcumin treatments at different concentrations obviously alleviated lung injury in the septic mice and reduced LPS-induced injury in Beas-2B cells.Curcumin significantly decreased the release of inflammatory factors,MDA and MPO,increased GSH level,lowered Fe2+,MDA and ROS levels,increased TXNIP protein expression,and lowered the protein expressions of TRX-1,GPX4 and X-CT in both septic mouse lung tissues and LPS-stimulated Beas-2B cells.The protective effect of curcumin was effectively blocked by PX-12 treatment.Conclusion Curcumin inhibits ferroptosis and alleviates septic lung injury in mice by elevating TRX-1 and GPX4 and decreasing TXNIP in the lung tissue.

Objective:To examines the social health status and influencing factors affecting the elderly population in urban communities of Beijing, based on the "the Standard for Healthy Chinese Older Adults(2022)" .Methods:Using the stratified sampling method, a total of 159 elderly individuals aged 60 and above from the Lanyuan community in the Malianwa street jurisdiction of Haidian district, Beijing, were selected as research subjects.The average age of the participants was(70.7±7.9)years, comprising 74 males and 85 females.Household face-to-face interviews were conducted, utilizing self-compiled questionnaires to perform a comprehensive assessment and analysis of the social health status of the elderly.Results:In the study involving community-based elderly participants, 32.1%(51 cases)were classified as healthy.The analysis revealed statistically significant differences in the social health status among various age groups of the elderly( χ2=11.802, P=0.019), with a notable downward trend in social health status as age increases( χ2=9.626, P=0.002).Furthermore, the results of multivariate Logistic regression analysis indicated that educational level( OR=2.119, 95% CI: 1.044-4.031, P=0.038)and chronic disease status( OR=5.007, 95% CI: 1.083-23.140, P=0.039)are significant influencing factors on the social health status of older adults. Conclusions:The social health status of the elderly in urban communities in Beijing is generally low and deteriorates progressively with age.Both educational attainment and chronic disease prevalence significantly influence the social health of this demographic.For elderly individuals with lower educational levels and poor chronic disease management, it is essential to conduct social health assessments and implement targeted intervention strategies to enhance their overall social health.