This study aimed to explore the therapeutic mechanisms of Colquhounia Root Tablets(CRT) in treating diabetic kidney disease(DKD) by integrating biomolecular network mining with animal model verification. By analyzing clinical transcriptomics data, an interaction network was constructed between candidate targets of CRT and DKD-related genes. Based on the topological eigenvalues of network nodes, 101 core network targets of CRT against DKD were identified. These targets were found to be closely related to multiple pathways associated with type 2 diabetes, immune response, and metabolic reprogramming. Given that immune-inflammatory imbalance driven by metabolic reprogramming is one of the key pathogenic mechanisms of DKD, and that many core network targets of CRT are involved in this pathological process, receptor for advanced glycation end products(RAGE)-reactive oxygen species(ROS)-phosphatidylinositol 3-kinase(PI3K)-protein kinase B(AKT)-nuclear factor-κB(NF-κB)-NOD-like receptor family pyrin domain containing 3(NLRP3) signaling axis was selected as a candidate target for in-depth research. Further, a rat model of DKD induced by a high-sugar, high-fat diet and streptozotocin was established to evaluate the pharmacological effects of CRT and verify the expression of related targets. The experimental results showed that CRT could effectively correct metabolic disturbances in DKD, restore immune-inflammatory balance, and improve renal function and its pathological changes by inhibiting the activation of the RAGE-ROS-PI3K-AKT-NF-κB-NLRP3 signaling axis. In conclusion, this study reveals that CRT alleviates the progression of DKD through dual regulation of metabolic reprogramming and immune-inflammatory responses, providing strong experimental evidence for its clinical application in DKD.
Animals ; Diabetic Nephropathies/metabolism* ; Receptor for Advanced Glycation End Products/genetics* ; NF-kappa B/genetics* ; Signal Transduction/drug effects* ; Rats ; NLR Family, Pyrin Domain-Containing 3 Protein/genetics* ; Proto-Oncogene Proteins c-akt/genetics* ; Drugs, Chinese Herbal/administration & dosage* ; Male ; Phosphatidylinositol 3-Kinases/genetics* ; Reactive Oxygen Species/metabolism* ; Humans ; Plant Roots/chemistry* ; Rats, Sprague-Dawley ; Tablets/administration & dosage*

Objective:To evaluate the performance of deep learning reconstruction (DLR) in visualizing lenticulostriate arteries (LSAs) on cerebral CT angiography (CTA).Methods:This cross-sectional study retrospectively analyzed cerebral CTA from 38 patients who underwent cerebral CTA at the Fourth Affiliated Hospital of Harbin Medical University between January and December 2023. Images were reconstructed using filtered back projection (FBP), three-dimensional adaptive iterative dose reduction (AIDR), and DLR-advanced inteuigent clear-IQ engine(AiCE) algorithms (FBP group, AIDR group, DLR-AiCE group). On axial images, the mean CT values, standard deviation (SD), signal-to-noise ratio (SNR), and contrast-to-noise ratio (CNR) were measured at the origin of LSAs, cerebrospinal fluid in lateral ventricles, temporal muscle, and head of the caudate nucleus. Subjective evaluations were performed for overall vascular visualization and LSAs delineation. Comparisons of subjective and objective evaluation indexes among the 3 groups were performed using the complex measurement ANOVA, Friedman test, or χ2 test. Results:The CT, SD, SNR and CNR values at the origin of LSAs, cerebrospinal fluid in lateral ventricles, temporal muscle, and head of the caudate nucleus demonstrated statistically significance among DLR-AiCE group, AIDR group and FBP group ( P<0.001), in which, except for the difference between the FBP group and the AIDR group in the CT value of the head of the caudate nucleus and the CT value of the cerebrospinal fluid of the lateral ventricle which was not statistically significant ( P>0.05), the remaining pairwise comparisons between the groups for each site measurements were statistically significant ( P<0.001). The difference in the overall comparison of the subjective scores of the overall vessels and LSAs in the images of the DLR-AiCE group, the AIDR group, and the FBP group was statistically significant ( P<0.001), and the two-by-two comparisons showed a statistically significant difference ( P<0.001) except for the difference in the subjective scores of LSAs between the FBP group and the AIDR group. Conclusion:The DLR-AiCE algorithm significantly reduces image noise and improves image quality, enabling superior visualization of LSAs, thereby enhancing diagnostic confidence.

Objective:To evaluate the performance of deep learning reconstruction (DLR) in visualizing lenticulostriate arteries (LSAs) on cerebral CT angiography (CTA).Methods:This cross-sectional study retrospectively analyzed cerebral CTA from 38 patients who underwent cerebral CTA at the Fourth Affiliated Hospital of Harbin Medical University between January and December 2023. Images were reconstructed using filtered back projection (FBP), three-dimensional adaptive iterative dose reduction (AIDR), and DLR-advanced inteuigent clear-IQ engine(AiCE) algorithms (FBP group, AIDR group, DLR-AiCE group). On axial images, the mean CT values, standard deviation (SD), signal-to-noise ratio (SNR), and contrast-to-noise ratio (CNR) were measured at the origin of LSAs, cerebrospinal fluid in lateral ventricles, temporal muscle, and head of the caudate nucleus. Subjective evaluations were performed for overall vascular visualization and LSAs delineation. Comparisons of subjective and objective evaluation indexes among the 3 groups were performed using the complex measurement ANOVA, Friedman test, or χ2 test. Results:The CT, SD, SNR and CNR values at the origin of LSAs, cerebrospinal fluid in lateral ventricles, temporal muscle, and head of the caudate nucleus demonstrated statistically significance among DLR-AiCE group, AIDR group and FBP group ( P<0.001), in which, except for the difference between the FBP group and the AIDR group in the CT value of the head of the caudate nucleus and the CT value of the cerebrospinal fluid of the lateral ventricle which was not statistically significant ( P>0.05), the remaining pairwise comparisons between the groups for each site measurements were statistically significant ( P<0.001). The difference in the overall comparison of the subjective scores of the overall vessels and LSAs in the images of the DLR-AiCE group, the AIDR group, and the FBP group was statistically significant ( P<0.001), and the two-by-two comparisons showed a statistically significant difference ( P<0.001) except for the difference in the subjective scores of LSAs between the FBP group and the AIDR group. Conclusion:The DLR-AiCE algorithm significantly reduces image noise and improves image quality, enabling superior visualization of LSAs, thereby enhancing diagnostic confidence.

Objective:To construct a prediction model for the clinical supply of blood components in Xi′an City from 2023 to 2025.Methods:Based on the blood supply data of the Blood Management Information System of Shaanxi Provincial Blood Center from January 2013 to December 2022, a gray prediction model and an exponential curve fitting model were used to construct the prediction model, and the optimal prediction model was determined according to the error parameters of the relevant indicators of the model. The supply of blood components in Xi′an from 2023 to 2025 was predicted.Results:The fitting equations of the exponential curve fitting model to predict the supply of suspended red blood cells, platelets and cryoprecipitate in Xi′an were, x（1）（ t+1）=1.16e 0.04t， x（1）（ t+1）=1.04e 0.12t and x（1）（ t+1）=1.01e 1.10t, respectively. The mean absolute errors (mean relative errors) of the exponential curve fitting model in predicting the supply of suspended red blood cells, platelets and cryoprecipitate in Xi′an were 10 488.7 (0.05%), 2 114.9 (0.08%) and 3 089.6 (0.07%), respectively, which were lower than those of the gray prediction model, about 10 488.7 (3.44%), 2 152.78 (8.20%) and 3 441.35 (7.92%), respectively. The exponential curve fitting model predicted that the clinical supply of blood components in Xi′an would increase year by year from 2023 to 2025, and the clinical supply of suspended red blood cells, platelets, and cryoprecipitate in Xi′an would increase to 409 467 U, 69 818 therapeutic volume and 94 724 U, respectively by 2025. Conclusion:The exponential curve fitting model can make a good prediction of the clinical supply of blood components in Xi′an City.

Objective:To construct a prediction model for the clinical supply of blood components in Xi′an City from 2023 to 2025.Methods:Based on the blood supply data of the Blood Management Information System of Shaanxi Provincial Blood Center from January 2013 to December 2022, a gray prediction model and an exponential curve fitting model were used to construct the prediction model, and the optimal prediction model was determined according to the error parameters of the relevant indicators of the model. The supply of blood components in Xi′an from 2023 to 2025 was predicted.Results:The fitting equations of the exponential curve fitting model to predict the supply of suspended red blood cells, platelets and cryoprecipitate in Xi′an were, x（1）（ t+1）=1.16e 0.04t， x（1）（ t+1）=1.04e 0.12t and x（1）（ t+1）=1.01e 1.10t, respectively. The mean absolute errors (mean relative errors) of the exponential curve fitting model in predicting the supply of suspended red blood cells, platelets and cryoprecipitate in Xi′an were 10 488.7 (0.05%), 2 114.9 (0.08%) and 3 089.6 (0.07%), respectively, which were lower than those of the gray prediction model, about 10 488.7 (3.44%), 2 152.78 (8.20%) and 3 441.35 (7.92%), respectively. The exponential curve fitting model predicted that the clinical supply of blood components in Xi′an would increase year by year from 2023 to 2025, and the clinical supply of suspended red blood cells, platelets, and cryoprecipitate in Xi′an would increase to 409 467 U, 69 818 therapeutic volume and 94 724 U, respectively by 2025. Conclusion:The exponential curve fitting model can make a good prediction of the clinical supply of blood components in Xi′an City.

Objective:To explore the cause of inconsistency between the results of trisomy 7 by expanded non-invasive prenatal testing (NIPT-PLUS) and trisomy 18 by prenatal diagnosis.Methods:A pregnant woman who received genetic counseling at Jiaozuo Maternal and Child Health Care Hospital on July 5, 2020 was selected as the study subject. NIPT-PLUS, systematic ultrasound and interventional prenatal testing were carried out. The middle segment and root of umbilical cord, center and edge of the maternal and fatal surface of the placenta were sampled for the validation by copy number variation sequencing (CNV-seq).Results:The result of NIPT-PLUS indicated that the fetus has trisomy 7. Systematic ultrasound has shown multiple malformations including atrioventricular septal defect, horseshoe kidney, and rocker-bottom feet. However, QF-PCR, chromosomal karyotyping analysis, and CNV-seq of amniotic fluid samples all showed that the fetus was trisomy 18. Validation using multiple placental samples confirmed that the middle segment of the umbilical cord contains trisomy 18, the center of the placenta contained trisomy 7, and other placental sites were mosaicism for trisomy 7 and trisomy 18. Notably, the ratio of trisomy 18 became lower further away from the umbilical cord.Conclusion:The false positive results of trisomy 7 and false negative trisomy 18 by NIPT-PLUS was probably due to the existence of placental mosaicism. Strict prenatal diagnosis is required needed aneuploidy is detected by NIPT-PLUS to exclude the influence of placental mosaicisms.

Objective:To investigate the changes of exam scores of retrained peritoneal dialysis (PD) operators (patients, family members, or nannies) with an internal of one year during COVID-19 epidemic and provide basis for targeted training.Methods:It was a cross-sectional survey study. The maintenance PD patients who participated in two trainings with an interval of one year during COVID-19 epidemic from November 1, 2019 to February 28, 2021 in Department of Nephrology in Peking University People's Hospital were enrolled. During COVID-19 epidemic, retraining was extended from once every six months to once a year. The clinical data were collected, the self-designed training exam score table including theoretical knowledge and operational skills assessment was used to investigate the exam scores of two trainings, and the total exam scores and sub-item scores of PD operators before and after one year were compared. Logistic regression analysis was used to analyze the associated factors of the reduction of exam scores.Results:A total of 59 patients were enrolled, with 35 males (59.32%), age of (58.41±14.52) years, and dialysis duration of 42 (12, 84) months. There were 54 patients (91.53%) operating by themselves, 22 operators (37.29%) having college degree or above, and 35 operators (59.32%) having decreased exam scores. The total exam scores were 83.17±7.90 and 80.61±8.20 before and after one year, respectively ( t=2.732, P=0.008). In the six contents of itemized scoring, compared with one year ago, the exam scores of complication treatment ( t=4.928, P<0.001) and self-monitoring ( t=3.222, P=0.002) were significantly decreased. There was no statistically significant difference in the exam scores of environment and hygiene, dialysate replacement operation, exit nursing and diet before and after one year (all P>0.05). The total exam scores in patients with dialysis duration <12 months and 36-60 months after one year were significantly lower than before one year ( t=2.309, P=0.041; t=3.086, P=0.009). There was no statistically significant difference in the exam scores of PD operators with dialysis duration of 12-<36 months and >60 months before and after one year (both P>0.05). Logistic regression analysis showed that dialysis duration was an independent associated factor of exam scores reduction (dialysis duration 36-60 months/>60 months, OR=6.233, 95% CI 1.035-37.529, P=0.046). Conclusions:During COVID-19 epidemic, the reduced frequency of retraining reduces the training exam scores of PD operators, especially in patients with dialysis duration of 36-60 months. The weak points are focused on complication management and self-monitoring. Training should be strengthened for key patients and key contents if regular retraining is not possible due to special circumstances.

Diabetic nephropathy (DN) is one of the most common complications of diabetes mellitus, which is characterized in renal tubulointerstitial fibrosis (TIF). The current study was designed to investigate the protective effect of Jujuboside A (Ju A) on TIF in type 2 diabetes (T2DM) mice, and explore its underlying anti-fibrosis mechanism. A mouse T2DM model was established using high fat diet (HFD) feeding combined with intraperitoneal injection of streptozotocin (STZ). Then, diabetic mice were treated with Ju A (10, 20 and 40 mg·kg^-1·d^-1, i.g.) for 12 weeks. Results showed that administration of Ju A not only down-regulated fasting blood glucose (FBG) levels, but also improved hyperlipidemia and renal function in diabetic mice. Moreover, the reduced ECM accumulation was observed in the renal cortex of Ju A treated diabetic mice, while the TIF progression was also attenuated by Ju A through blocking the epithelial-to-mesenchymal transition (EMT) of renal tubular epithelial cells (RTECs). Further mechanism studies showed that Ju A treatment effectively down-regulated the protein expression and subsequent nuclear translocation of Yin Yang 1 (YY1) in the renal cortex of diabetic mice, and reduced the levels of transforming growth factor-β1 (TGF-β1) in the serum and renal cortex of Ju A treated mice. According to invitro studies, the up-regulated YY1/TGF-β1 signaling pathway was restored by Ju A in high glucose (HG) cultured HK-2 cells. Taken together, these findings demonstrated that Ju A can ameliorate the TIF of DN through down-regulating the YY1/TGF-β1 signaling pathway.
Animals ; Blood Glucose ; Diabetes Mellitus, Experimental/metabolism* ; Diabetes Mellitus, Type 2/drug therapy* ; Diabetic Nephropathies/metabolism* ; Fibrosis ; Mice ; Saponins ; Signal Transduction ; Streptozocin ; Transforming Growth Factor beta1/metabolism*

Objective:To investigate the effect of internet nursing model on female patients who are undergoing in vitro fertilization-embryo transfer, improve the quality of nursing service in reproductive center.Methods:A total of 201 female patients undergoing in vitro fertilization-embryo transfer from April 2018 to December 2018 were divided into the intervention group(102 cases) and the control group(99 cases) by random digits table method. The patients in intervention group were treated with nursing care based on the internet platform, and the control group was given routine care. The duration of intervention was from the patients determined treatment plan to the time pregnancy test 14 days after embryo transfer. The Self-rating Anxiety Scale(SAS) and Self-rating Depression Scale(SDS), Fertility Quality of Life(FertiQoL), and Connor-Davidson Resilience Scale(CD-RISC) were used to evaluate the differences in anxiety and depression, quality of life, and psychological resilience before and after intervention. The outcome of in vitro fertilization-embryo transfer was observed in two groups.Results:After intervention, the score of SAS, SDS were 26.03±6.43, 28.79±5.26 in the intervention group, and 40.76±6.81, 36.13±6.27 in the control group, the difference were significant( t values were -15.77, -9.00, all P<0.01). After intervention,the dimensional scores of mental and physical, social relationship, tolerance to treatment in the FertiQoL were 68.21±18.34, 75.56±19.58, 69.14±18.91 in the intervention group, and 58.11±17.42, 67.24±19.27, 58.77±19.86 in the control group, the difference were significant( t values were 4.00, 3.04, 3.79, all P<0.01). After intervention,the dimensional scores of tough, optimistic in CD-RISC were 37.03±10.51, 14.02±3.25 in the intervention group, and 26.73±9.81, 10.13±3.41 in the control group, the difference were significant( t values were 7.17, 8.28, all P<0.01). The average number of high-quality embryos and clinical pregnancy rate were 1.79(0.59, 4.51), 49.02%(50/102) in the intervention group, and 1.22(0.36, 2.86) , 33.33% (33/99) in the control group, the difference were significant ( t value was 2.47, χ2 value was 5.10, all P<0.05). Conclusions:The new nursing model based on internet has positive significance for the treatment of female patients undergoing in vitro fertilization-embryo transfer, which can improve patients' anxiety and depression, improve their quality of life and enhance their psychological resilience.

Hepatitis B virus (HBV) has an important role in the development of human hepatocellular carcinoma (HCC). Accumulated evidence has shown that HBV-encoded X protein (HBx) can induce both genetic alterations in tumor suppressor genes and oncogenes, as well as epigenetic aberrations in HCC pathogens. Non-coding RNAs (ncRNAs) mainly include microRNAs and long non-coding RNAs (lncRNAs). Although ncRNAs cannot code proteins, growing evidence has shown that they have various important biological functions in cell proliferation, cell cycle control, anti-apoptosis, epithelial–mesenchymal transition, tumor invasion and metastasis. This review summarizes the current knowledge regarding the mechanisms and emerging roles of ncRNAs in the pathogenesis of HBV-related HCC. Accumulated data have shown that ncRNAs regulated by HBx have a crucial role in HBV-associated hepatocarcinogenesis. The findings of these studies will contribute to more clinical applications of HBV-related ncRNAs as potential diagnostic markers or as molecular therapeutic targets to prevent and treat HBV-related HCC.
Carcinoma, Hepatocellular* ; Cell Cycle Checkpoints ; Cell Proliferation ; Epigenomics ; Genes, Tumor Suppressor ; Hepatitis B virus* ; Hepatitis B* ; Hepatitis* ; Humans* ; MicroRNAs ; Neoplasm Metastasis ; Oncogenes ; RNA, Long Noncoding ; RNA, Untranslated*