The clinical data and routine biochemical parameters of 64 maintenance hemodialysis (MHD)patients and 20 controls were analyzed in the study.Serum cystatin C levels were detected by latex particle enhalice inununo-turbidimetry:and the cardial structure and function were assessed by echocardiography.As MHD time extended,the levels of semm cystatin C increased gradually,accompanied with high incidence of left ventricular hypertrophy(LVH).The LVH-positive patients had higher systolic blood pressure and left veHtricular mass index,and had higher serum cystatin C than tllose in LVH-negative patients.The serum cystatin C levels were positively correlated with left yentricular mass index(r=0.633,P<0.01)and systolic blood pressure(r:0.397,P<0.01).The results suggest that serum cystatin levels may be an influencing factor for long-term cardiacvascular complication in MHD patients.

To enhance the scientific research participation of the medical postgraduates, and pro-mote core competitiveness of the medical colleges, based on analysis of the necessity of patent application in medical colleges postgraduate, we constructed the teaching teams including the medical professors, patent engineers, graduate teaching manager, and science and technology managers. The problem-based learning (PBL) and case-based learning (CBL) as teaching methods were used in practice. The patent courses included the reference search and analysis, basic knowledge of patent law, and patent application training module were constructed; and the teaching effect were evaluated and optimized through the scores of the patent basic theory test, research output, and the training of the patent application. The patent course of the medi-cal postgraduates provides a reference for cultivating the compound talents have scientific research innova-tion and patent application capability.

Hypertension heightens the risk of cardiovascular and renal complications in individuals with type 2 diabetes mellitus. Optimal blood pressure (BP) management is crucial for preventing these complications. This review consolidates evidence from clinical trials and major BP management guidelines to shed light on key aspects of hypertension management in diabetes. It addresses BP thresholds to initiate antihypertensive treatment, optimal BP control targets, recommended first-line antihypertensive edications, and BP monitoring plan for the prevention of chronic complications in type 2 diabetes.

AIM:One of the important characteristics of the occurrence and development of triple-negative breast cancer(TNBC)is dysregulated cell metabolism.The aim of this study is to investigate the mechanism of pyruvate dehydrogenase E1 subunit alpha 1(PDHA1),a key enzyme component in aerobic glycolysis,affecting the proliferation,metastasis and invasion of TNBC.METHODS:(1)The expression levels of PDHA1 in breast cancer tissues and adja-cent tissues were analyzed by UALCAN database,KM-plotter database,Gene MANIA database and TCGA database.The expression of PDHA1 was compared according to tumor pathological stage,subtype classification and breast cancer bio-markers.The function of PDHA1 in TNBC was explored by gene enrichment analysis.(2)Immunohistochemistry assays were used to detect the expression of PDHA1 in human TNBC tissue and adjacent tissue samples.(3)Stable PDHA1 knockout and PDHA1 rescue TNBC MDA-MB-231 cells were constructed.The proliferation of MDA-MB-231 cells was de-tected by colony formation assay and cell counting assay.The regulatory effect of PDHA1 on the invasion and migration of MDA-MB-231 cells was detected by in vitro scratch assay and Transwell migration assay.RESULTS:Database analysis showed that the group with high PDHA1 expression in breast cancer had shorter survival and worse prognosis.In clinical specimens,the expression of PDHA1 in cancer tissues was higher than that in adjacent normal tissues.Knockout of PDHA1 inhibited the proliferation,metastasis,invasion and epithelial-mesenchymal transition of MDA-MB-231 cells.CONCLUSION:PDHA1 is overexpressed in TNBC,and it promotes cell proliferation and facilitates TNBC metastasis through the epithelial-mesenchymal transition pathway.

Objective To propose a deep learning neural network approach for transforming megavoltage computed tomography(MVCT)images of cervical cancer into pseudo kilovoltage computed tomography(kVCT)images with high signal-to-noise ratio and contrast-to-noise ratio,thus providing three-dimensional anatomical images and localization information required for adaptive radiotherapy of cervical cancer,and guiding the accelerator to achieve precise treatment.Methods The MVCT and kVCT images of 54 patients treated with cervical cancer radiotherapy were collected,with 44 cases randomly selected as the training set,and the remaining 10 cases as the test set.A cyclic generative adversarial network with gating mechanism and multi-channel data input was used to synthesize pseudo-kVCT images from MVCT images.The network training results were evaluated with imaging quality evaluation parameters,such as mean absolute error(MAE),peak signal-to-noise ratio(PSNR),and structural similarity index(SSIM).Results The MAE,PSNR,and SSIM of MVCT imagesvspseudo-kVCT(5:5)images were(24.9±0.7)HUvs(17.8±0.3)HU,(29.8±0.2)dBvs(30.7±0.2)dB,and 0.841±0.007 vs 0.898±0.003,respectively.Conclusion The generated pseudo-kVCT images have advantages in noise reduction and contrast enhancement,and can reduce the need for additional MV-kVCT electron density calibration in dose calculations.The dose calculation ability of pseudo-kVCT is comparable to that of MVCT,providing a possibility for the application of pseudo-kVCT images in image-guided adaptive radiotherapy.