Hyperkalemia is one of the common ion metabolism disorders in clinical practice. Hyperkalemia is defined as serum potassium higher than 5.0 mmol/L according to the guidelines at home and abroad. Acute severe hyperkalemia can cause serious consequences, such as flaccid paralysis, fatal arrhythmia, and even cardiac arrest. The use of renin-angiotensin- aldosterone system inhibitors, β-blockers and diuretics, low-sodium and high-potassium diets, and the presence of related comorbidities increase the occurrence of hyperkalemia. Hyperkalemia risk exist in all clinical departments, but there is a lack of a standardization in the management of multi- department cooperation in hospital. Therefore, a number of domestic nephrology and cardiology department experts have discussed a management model for multi-department cooperation in hyperkalemia, formulating the management standard on hospital evaluation, early warning, diagnosis and treatment, and process. This can promote each department to more effectively participate in nosocomial hyperkalemia diagnosis and treatment, as well as the long-term management of chronic hyperkalemia, improving the quality of hyperkalemia management in hospital.

Renal biopsy has been an essential part of the diagnosis and management of kidney disease. In recent years, the rapid development of artificial intelligence (AI) technology based on convolutional neural networks has significantly facilitated its utilization in nephrology. This article focuses on the research of AI in the recognition of tissue structure and pathological diagnosis of kidney biopsy. It elaborates on the identification and segmentation of kidney tissue structure and pathological features, as well as its auxiliary role in disease diagnosis across three dimensions: light microscopy, immunofluorescence, and electron microscopy. The aim is to provide a reference for the application of AI in renal pathology research and precision medicine.

Objective:To investigate the effect of trifluoperazine (TFP) on the proliferation of mesangial cells through FoxO1 pathway and its protective effect on lupus nephritis (LN) mice.Methods:In vitro, MTT assay was used to detect the effect of different concentrations of trifluoperazine on the proliferation of mesangial cells. Flow cytometry was used to detect the effect of different concentrations of TFP on the mesangial cell cycle. Western blotting method (WB method) was used to detect the effect of different concentrations of TFP on the expression of FoxO1 and cyclinD1 proteins in mesangial cells, and the expression of TFP on mesangial cells, cyclinD1 and P21 after enhancing or inhibiting the expression of FoxO1. The effect of TFP on the proliferation of MRL/LPR mouse mesangial cells and the expression of FoxO1 was detected by HE staining, immunohistochemistry and WB method, and the effect of TFP on renal function in LN mice was detected by ELISA method in vivo. WB method was used to detect the effect of TFP on mesangial cell fibrosis, that is, the protein expression levels of FN and Col1. Repeated measures analysis of variance and One-way analysis of variance were used to compare measurement data between groups, and further pairwise comparisons were made using the Bonferroni method. Results:Trifluoperazine inhibits the proliferation of mesangial cells, and the interaction effects was concentration dependence and were statistically signifiant between groups, time ( Fgroup=162.58, Ftime=50.84, Finteraction=19.12, P<0.001). Flow cytometry results showed that after mesangial cells were treated with trifluoperazine at different concentrations, the percentage of cells in the G 0/G 1 phase gradually increased, while the cells in the S phase gradually decreased. This effect was dose-dependent, the difference was statistically significant ( P<0.05). Results of WB test proved that trifluoperazine inhibited the expression of cyclinD1 protein (2.17±0.34, 1.49±0.20, 1.11±0.27, 0.15±1.55, F=33.60 , P<0.001) and up-regulated the expression of FoxO1 (0.81±0.45, 2.31±0.81, 3.51±0.52, 5.13±10.07, F=35.63, P<0.001), and also in a dose-dependent patten. In vivo experimental results showed that trifluoperazine could inhibit the proliferation of mesangial cells and promote the expression of FoxO1 in mice with lupus nephritis, and the difference wsa statistically significant ( F=8.47, P=0.007). ELISA test results showed that trifluoperazine had a protective effect on renal function [serum creatinine: normal group(144±23)μmol/L, LN group (237±14)μmol/L, LN+TFP(211±36)μmol/L, Fvalue=20.47, P<0.001, urea nitrogen: normal group (22.84±0.56)μmol/L, LN group (19.99±0.92)μmol/L, LN+TFP (13.57±0.25)μmol/L, F=331.96, P<0.001] and it was proved by WB method that trifluoperazine could inhibit Fn and Col1 expression, the difference was statistically significant ( FFN=1 312.83, FCol1=171.16, P<0.001). Conclusion:Trifluoperazine blocks the mesangial cell cycle in G 0/G 1 phase by increasing the expression of FoxO1 and inhibits cell proliferation, which may have a therapeutic effect on lupus nephritis nephritis.

Objective:To investigate urinary microalbumin to creatinine ratio (ACR) and α1-microglobulin to creatinine ratio (MCR) of people aged 40 years old and above in Shanxi province, and analyze the influencing factors of abnormal ACR and MCR, and to provide evidence for the prevention and control of chronic kidney diseases.Methods:It was a cross-sectional study. The data came from a screening study of chronic kidney diseases conducted by Shanxi Provincial People's Hospital from April to November 2019, involving aged 40 years old and above from 10 counties (Ningwu county, Yu county, Yangqu county, Lin county, Shouyang county, Zezhou county, Huozhou city, Hejin city, Linyi county and Ruicheng county) in Shanxi province. The related data were collected through questionnaire surveys, physical examinations, and blood and urine sample collection. Urinary α1-microglobulin, creatinine, and microalbuminuria were measured. Urinary ACR and MCR were calculated using urinary creatinine correction. ACR abnormality was defined as ≥30 mg/g, and MCR abnormality was defined as >23 mg/g. Covariate analysis was used to control confounding factors, and adjusted urinary ACR and MCR of 10 counties were calculated. Spearman correlation analysis and chi-square test were performed to analyze the factors associated with abnormal urinary ACR and MCR. Logistic regression analysis model was used to identify the influencing factors of abnormal urinary ACR and MCR.Results:A total of 12 285 residents were enrolled in the study, including 5 206 males (42.4%) and 7 079 females (57.6%). The median age was 58.0 (51.0, 66.0) years old. The median urinary ACR was 7.5 (4.5, 15.7) mg/g, and the median urinary MCR was 10.2 (6.4, 16.2) mg/g. A total of 1 572 individuals (12.80%) had urinary ACR abnormality and 1 450 individuals (11.80%) had urinary MCR abnormality. Yangqu county, Yuxian county, and Ningwu county had higher urinary ACR with (35.58±3.04) mg/g, (34.08±4.50) mg/g and (32.09±3.19) mg/g, respectively. The urinary MCR was generally similar among the 10 counties and Yangqu county had higher urinary MCR with (13.86±0.41) mg/g. In addition to Yu county, female individuals had higher urinary ACR compared to males in other counties, whereas female individuals had lower urinary MCR compared to males in 10 counties. Multivariate logistic regression analysis results showed that elevated triglyceride, fasting blood glucose, glycated hemoglobin, systolic blood pressure, diastolic blood pressure, age, body mass index and gender were independent influencing factors of abnormal urinary ACR and MCR (all P<0.05). Elevated blood homocysteine and low educational level were independent influencing factors of urinary MCR abnormality (both P<0.05). Conclusions:There are differences of gender and region in urinary ACR and MCR among individuals aged 40 years old and above in the 10 counties of Shanxi province. Triglyceride, fasting blood glucose, glycated hemoglobin, systolic blood pressure, diastolic blood pressure, age, gender, and body mass index are independent related factors of abnormal urinary ACR and MCR. Blood homocysteine and education level are independent related factors of abnormal urinary MCR.

In recent years, artificial intelligence has received extensive attention in the field of kidney pathology, such as identifying kidney tissue structure and evaluating the degree of lesions. Renal pathology is the gold standard for the diagnosis of renal diseases, and histochemistry staining is the prerequisite for the assessment of renal lesions. Renal biopsy is usually evaluated by various staining methods, including hematoxylin-eosin staining, periodic acid-Schiff reaction, Masson's trichrome staining and immunol staining, among that, different staining methods focus on different structures. The paper reviewed the application and progress of artificial intelligence in renal pathology, especially in different staining methods.

Acute kidney injury (AKI) is one of the most common diseases worldwide, and its incidence and mortality rate are increasing year by year. The key to improve the prognosis of AKI is early diagnosis and early intervention. As an endogenous nephrotoxic substance, the increase or decrease of serum calcium has a certain suggestive effect on the diagnosis and treatment of AKI. We reviewed the research progress of the relationship between serum calcium and AKI, to improve clinicians' understanding of the role of serum calcium in the diagnosis and treatment of AKI.

Objective:To screen the incidence of proteinuria in rural areas of Shanxi province and construct a risk prediction model of proteinuria based on machine learning algorithm.Methods:It was a cross-sectional investigation study. The residents ≥30 years old in rural areas of Shanxi province from April to November 2019 were screened by multi-stage stratified sampling method, and data from questionnaire surveys, physical examinations, and laboratory examinations were collected. Urine albumin/creatinine ratio ≥30 mg/g was defined as proteinuria, and the incidence of proteinuria was calculated. Subjects were divided into proteinuria group and non-proteinuria group. The machine learning binary classification model of proteinuria and non-proteinuria was constructed based on the stackable integrated logistic regression algorithm (SE-LR), logistic regression, support vector machine, decision tree, random forest and extreme gradient lift algorithms, respectively. The area under the receiver operating characteristic curve, accuracy, recall, and F1 weights were used to evaluate the predictive efficiency of the comparison models. Finally, the importance of the predictive features of the model with the best overall performance was ranked.Results:There were 8 869 rural residents included in the study, aged (58.59±9.49) years old, with 3 872 males (43.66%) and 4 997 females (56.34%). The prevalence of proteinuria in rural areas of Shanxi province was 13.49% (1 196/8 869). Blood pressure, pulse, body mass index, waist circumference, proportion of obesity or overweight, proportion of hypertension, proportion of moderate to severe salt intake, glycosylated hemoglobin, uric pH value, urinary specific gravity, proportion of positive urinary occult blood, proportion of positive urinary glucose, proportion of positive urinary ketone body, proportion of urinary red blood cell count ≥5/μl, proportion of urinary white blood cell count ≥10/μl and urinary α1 microglobulin in the proteinuria group were all higher than those in the non-proteinuria group (all P<0.05). The proportions of lack of exercise and drinking history in the proteinuria group were lower than those in non-proteinuria group (both P<0.05). The overall performance of SE-LR model was the best, with the area under the curve (0.736, 95% CI 0.719-0.746) slightly lower than that of the logistic regression model (0.745, 95% CI 0.680-0.762), and the highest accuracy (0.844), recall rate (0.621) and F1 weighting value (0.801). In the SE-LR model, the orders of importance of the top 10 features were urinary α1- microglobulin, urinary occult blood, urinary sugar, uric acid basicity, smoking history,overweight or obesity, body mass index, total cholesterol, glycosylated hemoglobin and hypertension. Conclusions:The prevalence of proteinuria is high in rural areas of Shanxi province. The risk prediction model of proteinuria established by machine learning algorithm can predict the risk of proteinuria and identify its risk factors, which can provide a scientific basis for disease prevention, intervention, and treatment in the community and clinic to a certain extent.

Objective:The exact biological mechanism whereby exposure to ambient ozone(O3)may contribute to clinical onset of cardiovascular events remains unclear.In this study,we aim to examine the impacts of O3 exposure on cardiac arrhythmias and potential pathways involved through autonomic dysfunction and myocardial injury.Methods:Seventy-three non-smoking healthy adults were followed with 4 repeated measurements of 24-hour ambulatory arrhythmias,heart rate variability,ST-segment deviation,and blood pressure(BP)in Beijing,China,2014-2016.Generalized additive mixed models coupled with distributed lag nonlinear models were constructed to evaluate the associations and potential interlinks between O3 exposure and outcome measurements.Results:During the study period,24-hour average concentrations of ambient O3 were 47.4 μg/m3(ranging from 1.0 to 165.9 μg/m3).Increased risks of premature ventricular contraction and ventricular tachycardia were associated with interquartile range increases in O3 exposure during the last 5 days before each participant's clinic visit,with relative risks of 2.14(95％confidence interval[CI]:1.95 to 2.32)and 5.47(95％CI:3.51 to 7.43),respectively.Mediation analyses further showed that sympathetic activation,parasympathetic inhibition,and elevated BP levels,as well as heightened risks of ST-segment depression could mediate up to 47.74％of the risks of arrhythmias attributable to O3 exposure.Conclusion:Our results suggest that short-term exposure to ambient O3 could prompt the genesis of arrhythmias partially through worsening autonomic function and myocardial burden.

Objective:To evaluate the effect of edaravone on renal injury in rats with aldosterone-induced hypertension.Methods:Twenty-four clean-grade healthy male Sprague-Dawley rats, aged 6-8 weeks, weighing 200-220 g, were divided into 3 groups ( n=8 each) using a random number table method: sham operation group (S group), hypertension group (H group) and edaravone group (E group). The hypertension model was developed by subcutaneously embedding aldosterone osmotic pump (administration rate 0.75 μg·kg -1·h -1) for 4 weeks.After embedding osmotic pump subcutaneously, edaravone 10 mg/kg was injected via the tail vein every day for 4 consecutive weeks in E group, while normal saline 10 ml/kg was injected instead for 4 consecutive weeks in H group.BP-2010A noninvasive manometry device was used to measure the systolic pressure of tail artery before embedding osmotic pump and at 1, 2, 3 and 4 weeks after administration.After 4 weeks of administration, the 24 h urinary albumin concentration, plasma creatinine (Cr) and blood urea nitrogen (BUN) concentrations were measured, the bilateral kidneys were weighed, the right kidney weight/body weight ratio (RKW/BW) was calculated, the glomerular extramesangial matrix area/glomerular area ratio (M/G) was measured by PAS method, and the collagen volume fraction (CVF) was measured by Masson staining method, and the expression of aldosterone receptor (MCR) and type Ⅰ collagen in renal tissues was detected by Western blot. Results:Compared with group S, the systolic pressure was significantly increased, the concentrations of 24-h urinary albumin, plasma Cr and BUN were increased, the RKW/BW ratio, M/G and CVF were increased, and the expression of type Ⅰ collagen and MCR was up-regulated after embedding osmotic pump in group H ( P<0.05). Compared with group H, the systolic pressure was significantly decreased, the concentrations of 24-h urinary albumin, plasma Cr and BUN were decreased, the RKW/BW ratio, M/G and CVF were decreased, and the expression of type Ⅰ collagen and MCR was down-regulated after embedding osmotic pump in group E ( P<0.05). Conclusions:Edaravone can reduce renal injury in rats with aldosterone-induced hypertension, and the mechanism is related to down-regulation of MCR expression.

Objective:To prepare cisplatin-loaded anti-progastrin-releasing peptide (ProGRP) monoclonal antibody targeted nanobubbles, and to explore the proliferation inhibition effect and anti-cancer molecular mechanism of them on small cell lung cancer (SCLC).Methods:The cisplatin targeted nanobubbles were prepared by thin film hydrating method, and the physicochemical property were explored. The subcutaneous xenograft tumor models of SCLC in 10 nude mice were established, and the ultrasound molecular targeting development effect of cisplatin targeted nanobubbles was analyzed by using blank nanobubbles as control. Another 24 tumor-bearing nude mouse models were established and randomly divided into four groups: blank nanobubbles group, cisplatin group, cisplatin nanobubbles group, cisplatin targeted nanobubbles group. The tumor inhibition rate was calculated. The effect on SCLC proliferation was detected by CCK8 method. RT-PCR and Western blotting methods were used to detect SCLC proliferation related genes the P53, Rb, c-myc protein and mRNA expression level of change, the molecular regulatory mechanism was analyzed.Results:The cisplatin targeted nanobubbles were successfully prepared. The particle size was (467.3±42.3)nm, the structure was stable. The cisplatin targeted nanobubbles had a good effect of ultrasonic molecular development in SCLC xenograft.Compared with the control group, the proliferation of SCLC cells was significantly inhibited by cisplatin targeted nanobubbles. The RT-PCR and Western blotting analysis showed that compared with the control group, the mRNA and protein levels of the proliferation-related gene P53 and Rb in the cisplatin targeted nanovesicles group were significantly up-regulated, and the mRNA and protein levels of c-myc were significantly down-regulated (all P<0.05). Conclusions:The cisplatin targeted nanobubbles can inhibit the proliferation of SCLC, and may be used as a new potential targeted drug for the treatment of SCLC.