Diabetic kidney disease （DKD）， one of the leading causes of end-stage renal disease， shows increasing prevalence and mortality， seriously affecting the physical and mental health of patients. As a crucial link in the occurrence and development of DKD， pyroptosis can lead to kidney cell injury and inflammation through the abnormal activation of reactive oxygen species （ROS）/thioredoxin-interacting protein （TXNIP）/NOD-like receptor protein 3 （NLRP3）， Toll-like receptor 4 （TLR4）/nuclear factor-κB （NF-κB）/NLRP3， nuclear factor erythroid 2-related factor 2 （Nrf2）/heme oxygenase-1 （HO-1）， mitogen-activated protein kinase （MAPK）/NLRP3， and hypoxia-inducible factor-1α （HIF-1α）/NLRP3 signaling pathways， which accelerate the progression of DKD. In recent years， traditional Chinese medicine （TCM） has demonstrated definite efficacy in the treatment of DKD via multiple targets and pathways. Studies have shown that various TCM active components， including glycosides， flavonoids， polyphenols， terpenoids， and alkaloids， as well as TCM compound prescriptions for clearing heat and detoxifying， tonifying deficiency and consolidating root， and eliminating stasis and descending turbidity， can target relevant signaling pathways to inhibit pyroptosis and intervene in the development of DKD， providing new possibilities for precision treatment of DKD. This article systematically reviews the relevant pathways of pyroptosis and summarizes the research achievements and mechanisms of TCM active components and compound prescriptions in the treatment of DKD via pyroptosis in recent years. This review aims to provide new directions and ideas for the treatment and research of DKD with TCM and promote the modernization and development of TCM.

Objective To investigate the value of artificial intelligence iterative reconstruction(AIIR)in preoperative low-dose CT of ovarian tumor.Methods Seventy patients with ovarian tumor were prospectively enrolled.Routine-dose(120 kVp,200 mAs)and low-dose(120 kVp,40 mAs)contrast-enhanced abdominopelvic CT scanning at portal venous phase were sequentially performed.The routine-dose images were reconstructed with hybrid iterative reconstruction(HIR)(group A),while low-dose images were reconstructed with HIR(group B)and AIIR(group C),respectively.Subjective and objective evaluation of image quality were compared among groups,and the diagnostic accuracy of peripheral organ invasion and peritoneal metastasis based on group A,B and C,as well as radiation dose of routine-and low-dose scanning were recorded.Results In group B,A and C,the subjective scoring of definition of tumor margin and septation,boundary between tumor and surrounding organ,as well as the signal-to-noise ratio and contrast-to-noise ratio of ovarian tumor and psoas muscles,increased successively(all P＜0.017).No significant difference of subjective scoring of tumor feeding vessel clarity was found between group A and C(P=0.435),which were both higher than that in group B(P＜0.017).The accuracy for diagnosing peripheral organ invasion based on group A,B and C was 83.87％ (52/62),72.58％ (45/62)and 83.87％ (52/62),for diagnosing peritoneal metastasis was 85.71％ (60/70),78.57％ (55/70)and 84.29％ (59/70),respectively.Compared to routine-dose CT,the effective dose of low-dose CT was reduced by 79.70％ (2.60 mSv vs.12.81 mSv,P＜0.001).Conclusion AIIR could improve image quality and metastasis diagnostic efficacy in low-dose CT of ovarian tumors.

Purpose To investigate correlation of ADP ribosylation-like factor 6 interacting protein 4(ARL6IP4)expression with the pathological characteristics and clinical prognosis in primary colon cancer.Methods The ARL6IP4 mRNA expression in tumor and adjacent normal tissues of 133 colon cancer patients was analyzed by RT-qPCR,and its relationship with tumor location,pathological TNM stage,and 3-year survival prognosis was assessed.Additionally,ARL6IP4 protein expression was analyzed by immunohistochemistry in 30 cases,of which 16 cases were analyzed by immunofluorescence.Results The colon cancer presented significantly higher mRNA and protein levels of ARL6IP4 than adjacent normal tissues(t=4.221,P=5.200 × 10-5;t=7.421,P=3.537 × 10-8).The relative ex-pression level of ARL6IP4 mRNA in colon cancer was positively correlated with pathological TNM stage,N stage and M stage(P＜0.05),and negatively correlated with 3-year cumulative survival probability(P＜0.01).Additionally,sig-moid colon cancer presented significantly higher ARL6IP4 expression than other colon cancers,and at the cellular lev-el,ARL6IP4 was predominantly expressed in the cell nucleus.Conclusion The ARL6IP4 expression in colon cancer is higher than that in adjacent normal tissues,which is closely related to tumor metastasis and clinical prognosis.

Purpose: Neuroendocrine prostate cancer (NEPC) represents a particularly aggressive subtype of prostate cancer with a challenging prognosis. The purpose of this investigation is to craft and confirm the reliability of nomograms that can accurately forecast the 1-, 3-, and 5-year overall survival (OS) and cancer-specific survival (CSS) rates for individuals afflicted with NEPC. Materials and Methods: Data pertaining to patients diagnosed with NEPC within the timeframe of 2010 to 2020 was meticulously gathered and examined from the Surveillance, Epidemiology, and End Results Program (SEER). To predict OS and CSS, we devised and authenticated two distinct nomograms, utilizing predictive variables pinpointed through both univariate and multivariate Cox regression analyses. Results: The study encompassed 393 of NEPC patients, who were systematically divided into training and validation cohorts at a 2:1 ratio. Key prognostic factors were isolated, verified, and integrated into the respective nomograms for OS and CSS. The performance metrics, denoted by C-indices, stood at 0.730, 0.735 for the training set, and 0.784, 0.756 for the validation set. The precision and clinical relevance of the nomograms were further corroborated by the analysis of receiver operating characteristic curves, calibration plots, and decision curve analyses. Conclusions The constructed nomograms have demonstrated impressive efficacy in forecasting the 1-, 3-, and 5-year OS and rates for patients with NEPC. Implementing these predictive tools in clinical settings is anticipated to considerably enhance the care and treatment planning for individuals diagnosed with this aggressive form of prostate cancer, thus providing tailored and more precise prognostic assessments.

Purpose: Neuroendocrine prostate cancer (NEPC) represents a particularly aggressive subtype of prostate cancer with a challenging prognosis. The purpose of this investigation is to craft and confirm the reliability of nomograms that can accurately forecast the 1-, 3-, and 5-year overall survival (OS) and cancer-specific survival (CSS) rates for individuals afflicted with NEPC. Materials and Methods: Data pertaining to patients diagnosed with NEPC within the timeframe of 2010 to 2020 was meticulously gathered and examined from the Surveillance, Epidemiology, and End Results Program (SEER). To predict OS and CSS, we devised and authenticated two distinct nomograms, utilizing predictive variables pinpointed through both univariate and multivariate Cox regression analyses. Results: The study encompassed 393 of NEPC patients, who were systematically divided into training and validation cohorts at a 2:1 ratio. Key prognostic factors were isolated, verified, and integrated into the respective nomograms for OS and CSS. The performance metrics, denoted by C-indices, stood at 0.730, 0.735 for the training set, and 0.784, 0.756 for the validation set. The precision and clinical relevance of the nomograms were further corroborated by the analysis of receiver operating characteristic curves, calibration plots, and decision curve analyses. Conclusions The constructed nomograms have demonstrated impressive efficacy in forecasting the 1-, 3-, and 5-year OS and rates for patients with NEPC. Implementing these predictive tools in clinical settings is anticipated to considerably enhance the care and treatment planning for individuals diagnosed with this aggressive form of prostate cancer, thus providing tailored and more precise prognostic assessments.

Purpose: Neuroendocrine prostate cancer (NEPC) represents a particularly aggressive subtype of prostate cancer with a challenging prognosis. The purpose of this investigation is to craft and confirm the reliability of nomograms that can accurately forecast the 1-, 3-, and 5-year overall survival (OS) and cancer-specific survival (CSS) rates for individuals afflicted with NEPC. Materials and Methods: Data pertaining to patients diagnosed with NEPC within the timeframe of 2010 to 2020 was meticulously gathered and examined from the Surveillance, Epidemiology, and End Results Program (SEER). To predict OS and CSS, we devised and authenticated two distinct nomograms, utilizing predictive variables pinpointed through both univariate and multivariate Cox regression analyses. Results: The study encompassed 393 of NEPC patients, who were systematically divided into training and validation cohorts at a 2:1 ratio. Key prognostic factors were isolated, verified, and integrated into the respective nomograms for OS and CSS. The performance metrics, denoted by C-indices, stood at 0.730, 0.735 for the training set, and 0.784, 0.756 for the validation set. The precision and clinical relevance of the nomograms were further corroborated by the analysis of receiver operating characteristic curves, calibration plots, and decision curve analyses. Conclusions The constructed nomograms have demonstrated impressive efficacy in forecasting the 1-, 3-, and 5-year OS and rates for patients with NEPC. Implementing these predictive tools in clinical settings is anticipated to considerably enhance the care and treatment planning for individuals diagnosed with this aggressive form of prostate cancer, thus providing tailored and more precise prognostic assessments.

Purpose: Neuroendocrine prostate cancer (NEPC) represents a particularly aggressive subtype of prostate cancer with a challenging prognosis. The purpose of this investigation is to craft and confirm the reliability of nomograms that can accurately forecast the 1-, 3-, and 5-year overall survival (OS) and cancer-specific survival (CSS) rates for individuals afflicted with NEPC. Materials and Methods: Data pertaining to patients diagnosed with NEPC within the timeframe of 2010 to 2020 was meticulously gathered and examined from the Surveillance, Epidemiology, and End Results Program (SEER). To predict OS and CSS, we devised and authenticated two distinct nomograms, utilizing predictive variables pinpointed through both univariate and multivariate Cox regression analyses. Results: The study encompassed 393 of NEPC patients, who were systematically divided into training and validation cohorts at a 2:1 ratio. Key prognostic factors were isolated, verified, and integrated into the respective nomograms for OS and CSS. The performance metrics, denoted by C-indices, stood at 0.730, 0.735 for the training set, and 0.784, 0.756 for the validation set. The precision and clinical relevance of the nomograms were further corroborated by the analysis of receiver operating characteristic curves, calibration plots, and decision curve analyses. Conclusions The constructed nomograms have demonstrated impressive efficacy in forecasting the 1-, 3-, and 5-year OS and rates for patients with NEPC. Implementing these predictive tools in clinical settings is anticipated to considerably enhance the care and treatment planning for individuals diagnosed with this aggressive form of prostate cancer, thus providing tailored and more precise prognostic assessments.

G protein-coupled receptor kinase 2 (GRK2) participates in the phosphorylation and desensitization of G protein-coupled receptor (GPCR), impacting various biological processes such as inflammation and cell proliferation. Dysregulated expression and activity of GRK2 have been reported in multiple cells in rheumatoid arthritis (RA). However, whether and how GRK2 regulates synovial hyperplasia and fibroblast-like synoviocytes (FLSs) proliferation is poorly understood. In this study, we investigated the regulation of GRK2 and its biological function in RA. We found that GRK2 transmembrane activity was increased in FLSs of RA patients and collagen-induced arthritis (CIA) rats. Additionally, we noted a positive correlation between high GRK2 expression on the cell membrane and serological markers associated with RA and CIA. Immunoprecipitation-mass spectrometry and pull-down analyses revealed tumor necrosis factor receptor-associated factor 2 (TRAF2) as a novel substrate of GRK2. Furthermore, surface plasmon resonance (SPR) and molecular docking assays determined that the C-terminus of GRK2 binds to the C-terminus of TRAF2 at the Gln340 residue. GRK2 knockdown and the GRK2 inhibitor CP-25 attenuated synovial hyperplasia and FLS proliferation in CIA both in vitro and in vivo by decreasing GRK2 membrane expression and activity. Mechanistically, increased GRK2 transmembrane activity contributed to the recruitment of TRAF2 on the cell membrane, promoting GRK2-TRAF2 interactions that facilitate the recruitment of the E3 ubiquitin ligase TRIM47 to TRAF2. This enhanced TRAF2 Lys63 polyubiquitylation and induced nuclear factor (NF)-κB activation, leading to synovial hyperplasia and abnormal proliferation of FLSs. Our study provides a mechanistic and preclinical rationale for further evaluation of GRK2 as a therapeutic target for RA.

Purpose To investigate correlation of ADP ribosylation-like factor 6 interacting protein 4(ARL6IP4)expression with the pathological characteristics and clinical prognosis in primary colon cancer.Methods The ARL6IP4 mRNA expression in tumor and adjacent normal tissues of 133 colon cancer patients was analyzed by RT-qPCR,and its relationship with tumor location,pathological TNM stage,and 3-year survival prognosis was assessed.Additionally,ARL6IP4 protein expression was analyzed by immunohistochemistry in 30 cases,of which 16 cases were analyzed by immunofluorescence.Results The colon cancer presented significantly higher mRNA and protein levels of ARL6IP4 than adjacent normal tissues(t=4.221,P=5.200 × 10-5;t=7.421,P=3.537 × 10-8).The relative ex-pression level of ARL6IP4 mRNA in colon cancer was positively correlated with pathological TNM stage,N stage and M stage(P＜0.05),and negatively correlated with 3-year cumulative survival probability(P＜0.01).Additionally,sig-moid colon cancer presented significantly higher ARL6IP4 expression than other colon cancers,and at the cellular lev-el,ARL6IP4 was predominantly expressed in the cell nucleus.Conclusion The ARL6IP4 expression in colon cancer is higher than that in adjacent normal tissues,which is closely related to tumor metastasis and clinical prognosis.