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.

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.

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.

Diabetic kidney disease （DKD） stands as one of the most prevalent microvascular complications of diabetes，noted for its concealed onset and tendency to evolve into end-stage renal disease，profoundly impacting patients' life expectancy and quality of life. Epithelial-to-mesenchymal transition （EMT） is a central pathological process in the initiation and progression of DKD，facilitating disease advancement and renal fibrosis，thus representing a crucial focus of research into the pathological mechanisms of DKD. EMT is driven by the abnormal activation of signaling pathways，including transforming growth factor-β （TGF-β）/Smad，secreted glycoprotein/β-catenin，Notch，tumor necrosis factor-α （TNF-α）/nuclear factor-κB （NF-κB），and phosphatidylinositol-3-kinase/protein kinase B/mammalian target of rapamycin （PI3K/Akt/mTOR），leading to renal cellular injury and subsequently accelerating renal fibrosis and the progression of DKD. Traditional Chinese medicine （TCM），characterized by its multi-target and multi-pathway therapeutic approach，demonstrates unique advantages in addressing DKD and EMT. Recent research has shown that active ingredients in TCM，including glycosides，flavonoids，and polyphenols，as well as TCM formulas，can precisely target these relevant signaling pathways，effectively inhibiting cellular injury in DKD and intervening in the EMT process. These findings not only underscore the potential of TCM monomers and formulas in treating DKD and EMT but also pave new directions for research in this field within TCM. This paper systematically reviewed the signaling pathways associated with EMT and provided an in-depth analysis of the research achievements and underlying mechanisms of TCM monomers and formulas in treating DKD and intervening in EMT，aiming to offer new insights and directions for TCM in the treatment of DKD and research on EMT，thereby further promoting the modernization and development of TCM.

Objective To observe the effects of Huoxue Digui Decoction on iron accumulation and ferroptosis in renal podocytes of diabetic nephropathy(DN)mice.Methods Totally 50 C57BL/6J mice were randomly divided into normal group(6 mice)and modeling group(44 mice).The DN model was established by streptozotocin injection.Mice conforming to DN model were randomly divided into model group(8 mice),and sulforaphane group,Huoxue Digui Decoction low-,medium-and high-dosage groups(6 mice for each group).The sulforaphane group was injected with sulforaphane intraperitoneally,while Huoxue Digui Decoction low-,medium-and high-dosage groups were orally administered with corresponding solution for 12 consecutive weeks.The fasting blood glucose,blood urea nitrogen,serum creatinine,24 h urinary albumin were detected,HE staining was used to observe the morphology of renal tissue,PAS staining was used to observe glycogen deposition in renal tissue,Masson staining was used to observe fibrosis in renal tissue;transmission electron microscopy was used to observe the ultrastructure of renal tissue,immunohistochemistry was used to detect the expressions of Podocin and Nephrin in renal tissue,Western blot was used to detect the protein expressions of glutathione peroxidase 4(GPX4),ACSL4,nuclear factor E2 related factor 2(Nrf2)and ferroportin 1(FPN1)in renal tissue,Prussian blue staining was used to observe the deposition of ferric ion in renal tissue.Results Compared with the normal group,the fasting blood glucose,blood urea nitrogen,serum creatinine and 24 h urinary albumin in model group significantly increased(P<0.01),with renal tissue capillary atrophy,increased glycogen deposition,and worsening fibrosis,the expressions of Podocin and Nephrin in renal tissue were down-regulated,while the expressions of GPX4,Nrf2 and FPN1 protein were significantly decreased(P<0.01),the expression of ACSL4 protein significantly increased(P<0.01),and the deposition of ferric ion in renal tissue increased.Compared with the model group,the fasting blood glucose,blood urea nitrogen,serum creatinine and 24 h urinary albumin in sulforaphane group and Huoxue Digui Decoction groups were reduced to different degrees(P<0.05,P<0.01),renal tissue pathological damage was reduced to varying degrees,glycogen deposition was reduced,and fibrosis was alleviated,the expressions of Podocin and Nephrin in renal tissue were up-regulated,while the expressions of GPX4,Nrf2 and FPN1 protein significantly increased(P<0.01),the expression of ACSL4 protein significantly decreased(P<0.05,P<0.01),and the deposition of ferric ion in renal tissue was reduced.Conclusion Huoxue Digui Decoction can alleviate renal pathological injury,reduce blood glucose and delay the progression of DN mice.The mechanism may be related to regulating the expressions of Nrf2 and FPN1,inhibiting iron accumulation and ferroptosis in renal podocytes of DN mice.

Objective:To evaluate the feasibility of low radiation dose and low contrast dosage in coronary CT angiography (CCTA) of class I obese patients.Methods:This prospective study enrolled 57 patients (male/female, 50/7, age, 25-77 years) with body mass index (BMI) of 30-38 kg/m 2 and body weight of 85-119 kg scheduled for CCTA from August 2022 to March 2023 in our hospital. The patients were divided into two groups: control group (group A, n = 20) and low-dose group (group B, n = 37). Group A employed a standard-dose protocol: tube voltage 120 kVp and IDR 2.2 g I/s, while group B were scanned using the low-dose protocol: tube voltage 100 kVp and IDR 1.5 g I/s. Images in Group A and Group B were reconstructed with hybrid iterative reconstruction (HIR) at strength 4 and 8, respectively. Other scanning and reconstruction parameters were the same in two groups. Methods:The image quality was assessed by measuring the CT values and noise in the aortic root, left anterior descending artery and right coronary artery, and the signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR) were calculated. Subjective image quality was evaluated for vessels according to the 18-segment classification system using a 4-point scale (1. poor, 4. excellent). The effective dose E and contrast dosage were compared. Statistical analysis was performed using independent samples t-test, Mann-Whitney U test or χ 2 test. Results:The BMI of groups A and B were 31.89 (30.77, 33.81) and 31.22 (30.46, 32.83) kg/m 2, respectively ( P>0.05). No statistically significant differences in CT values, noise, SNR, CNR were noticed between the two groups (all P>0.05). The mean subjective score of all coronary artery segments in the two groups were not less than 3, meeting the requirement of clinical diagnosis. There was no statistically significant difference in the overall subjective image quality between the two groups ( P>0.05). The radiation dose E in groups A and B were 7.58 and 4.49 mSv, respectively ( Z=-5.46, P<0.05). The contrast dosage in groups A and B were 66 and 45 ml, respectively. The radiation dose E and contrast dosage in group B were 41% and 32% lower than that in group A, respectively. Conclusions:For class I obese patients, it was feasible to use a low tube voltage (100 kVp) and low IDR (1.5 gI/s) protocol in CCTA. Radiation dose and contrast dosage can be reduced reasonably without compromising the CCTA image quality.

Objective:To assess the radiation dose and clinical value of "one-stop" whole-brain CT perfusion (CTP) imaging in the evaluation of collateral circulation for patients with acute ischemic stroke (AIS), regarding the digital subtraction angiography (DSA) as the reference.Methods:This retrospective study included 32 AIS patients, for whom both CTP and DSA were obtained <24 h since onset. All CTP scans were acquired in whole-brain volume perfusion mode using a 320-row CT with the phase-specific settings of tube currents to optimize the image quality of CTA images, where multiple-phase (mp) CTA images were extracted from the CTP data in post-processing. The volume CT dose index (CTDI vol), dose length product (DLP), and effective dose were compared to those reported in previous studies. The perfusion parameters of the infarct lesions and their contralateral regions were compared using the paired t-tests. One radiologist scored the collateral circulation with only the CTP and with the CTP plus mp-CTA using a 5-point scale. Another radiologist performed the same evaluation on the DSA. The diagnostic accuracy was calculated referring to the result based on DSA. The scores were analyzed using the Pearson correlation coefficient. The agreement of scores was quantified with the Kappa test. Results:The mean CTDI vol was 184.18 mGy, which was comparable to the result of a previous study (184.19 mGy), and the mean effective dose was reduced 39% compared to that reported in the literature for combined CTP and CTA scanning (6.1 vs 10 mSv). There were statistically significant differences in cerebral blood volume (CBV), cerebral blood flow (CBF), mean transit time (MTT), transit time to peak (TTP), and time-to-maximum (Tmax) between the infarct lesions and their contralateral regions ( P<0.01). The scores between CTP and DSA were significantly correlated ( r=0.95, P<0.01), as well as the scores between CTP plus mp-CTA and DSA ( r=0.98, P<0.01). The Kappa value was 0.64 ( t=7.53, P<0.01) between CTP and DSA, while it increased to 0.88 ( t=9.99, P<0.01) for CTP plus mp-CTA. With the result of DSA as a reference, the diagnostic accuracy was 71.9% and 90.6% for CTP and CTP plus mp-CTA, respectively. Conclusions:The "one-stop" whole-brain CTP imaging with phase-specific settings of tube currents can provide reliable CTP and multiple-phase CTA images simultaneously, which could reasonably reduce the radiation dose. Combined use of multi-phase CTA and CT perfusion improves the diagnostic accuracy of collateral circulation in AIS patients.