Objective To investigate the inhibitory effects of magnesium citrate(MgCit)on oxidative stress in chronic renal failure(CRF).Methods SD rats were divided into CRF model group,MgCit groups(375 and 750 mg/kg),normal control group,and MgCit control group(750 mg/kg).The morphology of mitochondria in thoracic artery vascular smooth muscle cells(VSMCs)was observed by transmission electron microscopy.The content of superoxide dismutase(SOD)and malonaldehyde(MDA)in rat aorta and plasma was detected by the kit.The VSMCs were divided into normal control group,CRF model group,and MgCit groups(1.5 and 3 mmol/L).The levels of superoxide anion(DHE)and apoptosis were quantitatively detected by flow cytometry.Results Compared with the control groups,the mitochondria were swollen and the cristae fractured or disappeared in the model group;MgCit intervention could reduce mitochondrial swelling,but not cristae fracture.In the model group,SOD level in aorta and plasma decreased(P＜0.05)while MDA level increased(P＜0.05).MgCit intervention could increase SOD in aorta and plasma,but decrease MDA level(P＜0.05).In the CRF environment,the DHE content of VSMCs and apoptosis in CRF model group increased(P＜0.05).MgCit intervention could decrease DHE content and inhibit apoptosis(P＜0.05).Conclusion MgCit inhibits oxidative stress levels in vivo and in vitro in CRF.

Objective:To investigate the value of left ventricular systolic synchrony assessed by gated myocardial perfusion imaging(GMPI)in predicting major adverse cardiovascular events(MACE)in elderly patients with coronary heart disease(CHD).Methods:In this retrospective study, clinical data from elderly patients who had completed a two-day assessment of resting-loading GMPI between September 2012 and February 2014 in Beijing Hospital were collected, including the summed stress score(SSS)for total ischemic burden, measured by GMPI, left ventricular ejection fraction(LVEF), peak filling rate(PFR), phase band width(PBW), phase standard deviation(PSD)and phase entropy(PE).Follow-up of MACE was conducted.Independent risk factors for MACE were analyzed using a multifactorial Cox proportional hazards regression model, and the cumulative MACE incidence was analyzed using the Kaplan-Meier survival curve.Results:A total of 427 subjects were enrolled, including 200(46.8%)men, with a mean age of 74.1±6.5(60-92)years and 323(75.6%)aged ≥ 70 years.The median follow-up time was 54.7 months.At the end of follow-up, MACE occurred in 47 patients(11.0%).Compared with the group without MACE, the incidences of hypertension, hyperlipidemia, and hyperuricemia were significantly higher( χ2=5.20, 5.62, 3.86, all P<0.05), LVEF and PFR were significantly lower( t=-5.51, -5.23, both P<0.001), and SSS, PSD, PBW, and PE were significantly higher( Z=4.78, t=5.14, 5.78, 5.62, all P<0.001)in the MACE group.The results of Cox proportional hazards regression model analysis suggested that age ≥ 70(hazard ratio: 2.57, 95% CI: 1.08-6.13), abnormal perfusion(hazard ratio: 2.60, 95% CI: 1.31-5.15), increased PSD(hazard ratio: 3.72, 95% CI: 1.72-8.05)and increased PE(hazard ratio: 4.09, 95% CI: 1.94-8.63)were independent risk factors for the occurrence of MACE(all P<0.05).Further analysis on 323 patients ≥ 70 years indicated that abnormal perfusion(hazard ratio: 2.96, 95% CI: 1.40-6.26), increased PSD(hazard ratio: 3.51, 95% CI: 1.56-7.89), and increased PE(hazard ratio: 4.49, 95% CI: 2.08-9.71)were independent risk factors for MACE( P<0.05 for all). Conclusions:Parameters of GMPI systolic synchrony analysis can very well identify the population at high risk of MACE in elderly patients with CHD.

【Objective】 To investigate the role and mechanism of dapagliflozin (Dapa), a sodium glucose co-transporter 2 inhibitor, in acute liver injury. 【Methods】 Eight-week-old C57BL6/J mice were given a single intraperitoneal injection of CCl4 to induce acute liver injury. The mice were preventively given 5 mg/kg Dapa by gavage 24 h and 2 h before CCl4 injection, while those in the control group were given an equal volume of solvent gavage. After 24 h, the mice were anesthetized and sacrificed. H&E staining, plasma biochemistry, RT-qPCR, and Western blotting were used to detect the severity of liver injury and the expressions of macrophage-related genes. 【Results】 In the CCl4 group, hepatic infiltration of inflammatory cells increased, and liver and renal functions significantly deteriorated, which was further aggravated by Dapa. CCl4 could promote the expressions of M1 macrophages and fibrosis-related genes in the liver, but reduce those of M2 and antioxidant-related genes, and the latter was further inhibited by Dapa. In addition, the protein expression of arginase 1 decreased and that of SGLT2 increased after Dapa intervention, while NF-κB pathway did not change significantly, suggesting that Dapa might directly affect the energy metabolism homeostasis in the liver and aggravate acute liver injury induced by CCl4. 【Conclusion】 Dapa can exacerbate hepatic and renal damage in acute stage of liver injury, inhibit macrophages M2 polarization, and aggravate oxidative stress and inflammatory injury induced by CCl4.

【Objective】 To explore the geographical environment factors that may affect serum uric acid (UA) of healthy people and explore the change trend of UA reference value at the national scale. 【Methods】 The UA reference values of 607905 healthy people from 565 loci in China were collected, and the correlation between 25 geographical environment factors and UA reference values was analyzed by correlation analysis. CatBoost model was constructed and SHAP value interpretation model was applied to predict the UA reference values of healthy people in counties and cities in China, and the geographical distribution map of UA reference values of healthy people in China was drawn by using ordinary Kriging. 【Results】 A total of 20 indicators, namely, latitude, altitude, annual average temperature, annual average relative humidity, annual precipitation, air temperature annual range, annual average wind speed, percentage of surface soil silt, surface soil bulk density, surface soil gravel content, surface soil organic matter content, surface soil PH, surface soil (clay) cation exchange capacity, surface soil (silt) cation exchange capacity, surface soil base saturation, total surface soil exchange capacity, T-CaCO3, T-CaSO4, surface soil alkalinity, and surface soil salt showed their correlation with UA reference value of healthy people nationwide. The spatial distribution of UA reference values of healthy people across the country differed, manifested as the changing trend of higher in high altitude regions, higher in coastal regions than in inland regions, lower in the mid-eastern region, and higher in Southwest China at similar altitudes. 【Conclusion】 This study lays a foundation for further studies on the mechanism of different influencing factors on UA reference value. CatBoost model was established to provide the basis for establishing reference standards using UA reference values as prognostic factors for hyperuricemia and related chronic diseases in different regions.

Recent research indicates that lactate promotes the switching of vascular smooth muscle cells (VSMCs) to a synthetic phenotype, which has been implicated in various vascular diseases. This study aimed to investigate the effects of lactate on the VSMC phenotype switch and the underlying mechanism. The CCK-8 method was used to assess cell viability. The microRNAs and mRNAs levels were evaluated using quantitative PCR. Targets of microRNA were predicted using online tools and confirmed using a luciferase reporter assay. We found that lactate promoted the switch of VSMCs to a synthetic phenotype, as evidenced by an increase in VSMC proliferation, mitochondrial activity, migration, and synthesis but a decrease in VSMC apoptosis. Lactate inhibited miR-23b expression in VSMCs, and miR-23b inhibited VSMC's switch to the synthetic phenotype. Lactate modulated the VSMC phenotype through downregulation of miR-23b expression, suggesting that overexpression of miR-23b using a miR-23b mimic attenuated the effects of lactate on VSMC phenotype modulation. Moreover, we discovered that SMAD family member 3 (SMAD3) was the target of miR-23b in regulating VSMC phenotype. Further findings suggested that lactate promotes VSMC switch to synthetic phenotype by targeting SMAD3 and downregulating miR-23b. These findings suggest that correcting the dysregulation of miR-23b/ SMAD3 or lactate metabolism is a potential treatment for vascular diseases.

Background Diagnosis of pneumoconiosis by radiologist reading chest X-ray images is affected by many factors and is prone to misdiagnosis/missed diagnosis. With the rapid development of artificial intelligence in the field of medical imaging, whether artificial intelligence can be used to read images of pneumoconiosis deserves consideration. Objective Three deep learning models for identifying presence of pneumoconiosis were constructed based on deep convolutional neural network. An optimal model was selected by comparing diagnostic efficiency of the three models. Methods Digital radiography (DR) chest images were collected between June 2017 and December 2020 from 7 hospitals and standard radiograph quality control protocol was also followed. The DR chest images with positive results were classified into the positive group, while those without pneumoconiosis were classified into the negative group. The collected chest radiographs were labeled by experts who had passed the assessment of reading radiographs,and the experts were constantly assessed for consistency in the labeling process based on an expectation-maximization algorithm. The labeled data were cleaned, archived, and preprocessed, and then were grouped into a training set and a verification set. Three deep convolutional neural network models TMNet, ResNet-50, and ResNeXt-50 were constructed and trained by ten-fold cross-validation method to obtain an optimal model. Five hundred cases of DR chest radiographs that were not included in the training set and the validation set were collected, and identified by five senior experts as the gold standard, named the test set. The accuracy rate, sensitivity, specificity, area under curve (AUC), and other indexes of the three models were derived after testing, and the efficiency of the three models was evaluated and compared. Results A total of 24867 DR chest radiographs of the training set and the validation set were collected in this study, including 6978 images in the positive group and 17889 images in the negative group. There were 312 cases of pulmonary abnormalities such as pneumothorax and pulmonary tuberculosis. A total of nine experts labeled the chest radiographs, the labeling consistency rate of pneumoconiosis (non-staging) was above 88%, and the labeling consistency rate of pneumoconiosis staging ranged from 84.68% to 93.66%. The diagnostic accuracy, sensitivity, specificity, and AUC of TMNet were 95.20%, 99.66%, 88.61%, and 0.987, respectively. The indicators of ResNeXt were 87.00%, 89.93%, 82.67%, and 0.911, respectively. Those of ResNet were 84.00%, 85.91%, 81.19%, and 0.912, respectively. All these indexes of TMNet were higher than those of ResNeXt-50 and ResNet-50 models. The AUC differences between TMNet and the other two models were both statistically significant (P<0.001). Conclusion All the three convolutional neural network models can effectively diagnose the presence of pneumoconiosis, among which TMNet provides the best efficiency.

【Objective】 To investigate the clinical characteristics and potential mechanism of coronavirus disease 2019 （COVID-19） vaccine-related myocarditis. 【Methods】 We made a systematic literature retrieval based on PubMed to search for all reports on COVID-19 vaccine-related myocarditis published by August 31， 2021. A total of 29 reports involving 71 patients with myocarditis were enrolled after screening. The patients’ demographic data， vaccination， clinical manifestations， biochemical and imaging results， treatments， and outcomes were extracted and summarized. The patients were divided into prior COVID （n=12） and non-prior COVID （n=59） according to their previous medical history. 【Results】 COVID vaccine-related myocarditis was more common in men （91.5%） and after the second dose of mRNA vaccine （81.7%）. The average time to onset was 3 （1， 25） days， and the main symptoms included chest pain （94.4%）， fever （45.1%）， myalgia （26.8%）， and shortness of breath （16.9%）. Abnormal troponin level was present in almost all the patients， with a common elevation of C-reactive protein. Non-steroidal anti-inflammatory drugs and colchicine were widely used in clinical treatment， and the symptoms of one-fifth of the patients were relieved after symptomatic therapy， with 1 to 2 weeks’ length of hospital stay. However， the risk of vaccine-related myocarditis was significantly increased in patients with previous COVID-19 infection， which was more common after the first dose of vaccine （58.3%） other than the second dose. And the clinical symptoms and outcomes were somewhat different from those without COVID-19 infection previously. 【Conclusion】 Myocarditis is one of the serious adverse events related to COVID-19 vaccine， with an overall relatively low incidence， mild clinical severity， and favorable prognosis. Vaccine-related myocarditis may be a combined result of primed immune system and individual susceptibility after infection with COVID-19.

【Objective】 To investigate the association of platelet/albumin ratio （PAR）， platelet/hemoglobin （PHR） and C-reactive protein/albumin （CAR） with diabetes mellitus. 【Methods】 Based on the data of China Health and Nutrition Survey （CHNS2009）， with gender and age matched by their ID， a total of 8 258 individuals with serological test results were finally included and were divided into diabetes group and control group according to the fasting blood glucose and HbA1c， and then the blood lipid and blood cell changes， PAR， PHR and CAR differences between groups were compared， and the correlation analysis of diabetes was performed. 【Results】 Compared with those in the control group， serum uric acid， total cholesterol， triacylglycerol and low-density lipoprotein cholesterol （LDL-C） were significantly increased in diabetes group， while high-density lipoprotein cholesterol （HDL-C） was significantly decreased. Besides， there was no significant difference in PAR or PHR between the two groups， while CAR was significantly increased in diabetes （0.48±0.18 vs. 0.08±0.23， P<0.001）， and was positively correlated with the levels of fasting glucose （r=0.181 8， P<0.001）， HbA1c （r=0.186 6， P<0.001）， and HOMA-IR （r=0.188 1， P=0.003）. However， CAR was not an independent risk factor for diabetes. In addition， increased red blood cell count （B=1.324， 95% CI： 1.182-1.483， P<0.001） and leukocytes count （B=1.230， 95% CI： 1.166-1.298， P<0.001） may be independent risk factors for the incidence of diabetes. 【Conclusion】 CAR is correlated with diabetes mellitus， but it is not an independent risk factor. Dyslipidemia， elevated leukocytes and red blood cell counts may be independent risk factors for diabetes， but further study is needed.

【Objective】 To explore the correlation of the intake of different nutrients with the levels of serum lipids and uric acid. 【Methods】 Based on the data of China Health and Nutrition Survey （CHNS2009）， a total of 1 343 individuals were finally included by ID matching with demographic data， serological tests and dietary nutrition results. We compared serum lipids and uric acid levels between groups of different nutrients intake （group Q1-Q4） and conducted the correlation analysis. 【Results】 The total cholesterol （TC）， triglyceride （TG）， and low-density lipoprotein （LDL-C） in the men were significantly higher than those in the women， while high-density lipoprotein （HDL-C） was significantly lower in the men. The average intakes of daily energy， carbohydrate， fat and protein were significantly higher in the males than in the females. Intergroup comparisons and correlation analyses showed that total energy and protein intakes were positively correlated with TG （r=0.070 9，P=0.008 4；r=0.051 7，P=0.012 3）， while fat intake was positively correlated with TC （r=0.086 1，P=0.001 4）. The blood uric acid level was positively correlated with the intake of fat and protein （r=0.127 3，P<0.001；r=0.138 0，P<0.001）. The results of subgroup analysis of the males were consistent with those of the whole population. However， there was a significantly negative correlation between carbohydrate intake and blood uric acid level in the females （r=-0.107 9，P＝0.002 2）. Multiple linear regression analysis showed that TC， TG and uric acid were correlated with gender， age and intake of different nutrients. 【Conclusion】 The levels of blood uric acid and lipids are significantly higher in men than in women. Different types of dyslipidemia and hyperuricemia are related to different nutrient intakes in different genders and ages.

【Objective】 To explore the potential mechanism of Salvia miltiorrhiza and its active monomers in patients with coronary heart disease （CHD） complicated with depression or anxiety disorder based on network pharmacology. 【Methods】 We collected the clinical data of 147 patients with CHD admitted to our hospital from March to April 2021 and investigated biochemical examination， drug treatment and the use of Chinese herbal compound. The downstream targets of active monomers of Salvia miltiorrhiza were screened based on TCMSP， PubChem and SwissTargetPrediction databases， and depression or anxiety-related genes were mining in OMIM， GeneCards and TTD databases. Protein-protein interaction network and GO and KEGG gene enrichment analyses were performed by matching Chinese herbal compound with disease targets. Chinese herbal compound-target-disease network was built by Cytoscape. 【Results】 Shuxuening （44.9%）， Salviae miltiorrhiza （27.9%）， and Sofren injection （21.8%） were the most commonly used Chinese herbal or injections in the clinical treatment of CHD， and there was no difference in the frequency of use between genders. Network pharmacology showed that the active components of Salvia miltiorrhiza might act on neuroactive ligand-receptor binding， 5-hydroxytryptamine synapses and dopaminergic synapses and participate in the regulation of neurotransmitter transport， dopamine and catecholamine metabolism and stress response. Target-disease network analysis showed that many active components of Salvia miltiorrhiza interacted with catechol-O-methyltransferase， monoamine oxidase， 5-hydroxytryptamine receptor and opioid receptor， which may be the potential targets of Salvia miltiorrhiza in improving depression and anxiety. 【Conclusion】 Salvia miltiorrhiza is involved in the regulation of neurotransmitters and synaptic activities， thus making it a potential drug for the clinical treatment of CHD complicated with depression and anxiety disorder.