Bone mineral density (BMD) of lumbar spines, femoral neck, Ward′s triangle and greater trochanter was lowered, serum calcium, phosphate, alkaline phosphatase and bone Gla-protein levels were raised, and vitamin D receptor (VDR) contents in lymphocyte was lowered in hyperthyroid patients. Both FT 3 and FT 4 were negatively correlated with BMD, suggesting that hyperthyroidism results in high-turnover type of bone loss which causes the abnormalities of bone metabolic indices and VDR content.

Aim To determine whether AngⅡin para-ventricular nucleus (PVN)was involved in the chronic intermittent hypoxia (CIH ) induced-hypertension in rats.Methods Male Sprague-Dawley rats were ran-domly divided into Sham and CIH groups,the Sham rats were exposed to continuous normoxia,while the CIH rats were submitted to CIH (8 h per day for 15 days).The conscious noninvasive method with tail cuff was performed in rats to record the systolic blood pres-sure during establishing the model of CIH induced hy-pertension.Mean arterial pressure (MAP)and heart rate (HR)were recorded in vivo on a PowerLab data acquisition system after CIH.Rats were fixed on the stereotaxic instrument to conduct microinjection in the PVN.We used Western blot to measure Ang Ⅱ level and AngⅡtype 1 receptor (AT1 R)protein expression in PVN.Results The level of PVN Ang Ⅱin CIH rats was significantly higher than that in Sham rats,a-long with increased AT1 R protein expression.Microin-jection of Ang Ⅱ(0.03,0.3,3 nmol)in bilateral PVN dose-dependently increased MAP in both CIH and Sham rats,and this response was significantly augmen-ted in CIH rats.Losartan (50 nmol),AT1 R antago-nist,had no effect on MAP in Sham rats,but caused significant MAP decreases in CIH rats,and prevented Ang Ⅱ-induced increases in MAP in both CIH and Sham rats.Conclusion The results suggest that the increased AngⅡrelease and enhanced AT1 R activation in the PVN contribute to CIH induced-hypertension in rats.

Objective To explore the influence of individualized nursing intervention on life quality of patients with rheumatoid arthritis. Methods 60 patients were divided into the intervention group and the control group with 30 cases in each group. The intervention group adopted individualized nursing projects according to the influencing factors of life quality based on routine nursing. The control group received routine nursing only. The life quality of the two groups was appraised by inventory before and after intervention. Results The status such as physiological function, mental function, social function and self-recognized health in the intervention group was greatly ameliorated and was statistically different from that in the control group(P＜0.05).Conclusion Individualized nursing intervention could dramatically improve the life quality of patients with rheumatoid arthritis

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.

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.

ObjectiveTo investigate the inhibitory effect of Biejia Decoction Pill on the proliferation， migration， and aerobic glycolysis of hepatocellular carcinoma （HCC） using cell experiments， as well as related mechanisms. MethodsHuman liver cancer cell line Huh7 was selected， and Sprague-Dawley rats were randomly divided into blank serum group， inhibitor group， and high-， middle-， and low-dose Biejia Decoction Pill groups. Rat serum containing the drug was prepared for the incubation of Huh7 cells. CCK8 assay and scratch assay were used to explore the effect of Biejia Decoction Pill on the proliferation and migration of HCC cells； glycolytic rate-limiting enzymes and metabolites were measured to explore the effect of Biejia Decoction Pill on aerobic glycolysis of liver cancer cells； RT-qPCR and Western blot were used to explore the effect of Biejia Decoction Pill on the mRNA expression， related proteins， and phosphorylation of the protein kinase B （AKT）/mammalian target of rapamycin （mTOR） signaling pathway. A one-way analysis of variance was used for comparison between multiple groups， and the least significant difference t-test or the Dunnett’s T3 test were used for further comparison between two groups. ResultsCompared with the blank serum group， the Biejia Decoction Pill groups had significant reductions in OD value， migration rate during different periods of time， glycolytic rate-limiting enzymes （hexokinase， phosphofructokinase， pyruvate kinase）， and glycolytic metabolites （pyruvate， lactic acid， ATP） （all P<0.05）. RT-qPCR results showed that compared with the blank serum group， the high-， middle-， and low-dose Biejia Decoction Pill groups had a significant reduction in the mRNA expression level of mTOR， and the high- and low-dose Biejia Decoction Pill groups had a significant reduction in the mRNA expression level of AKT （all P<0.05）. Western blot results showed that compared with the blank serum group， the high-， middle-， and low-dose Biejia Decoction Pill groups had significant reductions in the expression levels of mTOR-related proteins and phosphorylated proteins， and the high- and middle-dose Biejia Decoction Pill groups had significant reductions in the expression levels of AKT-related proteins and phosphorylated proteins （all P<0.05）. ConclusionThis study preliminarily verifies that the serum containing Bijia Decoction Pill can inhibit the aerobic glycolysis of human hepatoma Huh7 cells， thereby inhibiting their proliferation and migration， possibly by inhibiting the expression of the proteins related to the AKT/mTOR signaling pathway.