ObjectiveTo investigate the effect and mechanism of Yishen Tongluo prescription in protecting mice from oxidative stress injury in diabetic kidney disease （DKD） via the nuclear factor erythroid 2-related factor 2 （Nrf2）/heme oxygenase-1 （HO-1）/NAD（P）H quinone oxidoreductase 1 （NQO1） signaling pathway. MethodsSpecific pathogen-free （SPF） male C57BL/6 mice were assigned into a control group （n=10） and a modeling group （n=50）. The DKD model was established by intraperitoneal injection of streptozotocin. The mice in the modeling group were randomized into a model group， a semaglutide （40 μg·kg^-1） group， and high-， medium-， and low-dose （18.2， 9.1， 4.55 g·kg^-1， respectively） Yishen Tongluo prescription groups， with 10 mice in each group. The treatment lasted for 12 weeks. Blood glucose and 24-h urine protein levels were measured， and the kidney index （KI） was calculated. Serum levels of creatinine （SCr）， blood urea nitrogen （BUN）， alanine aminotransferase （ALT）， and aspartate aminotransferase （AST） were assessed. The pathological changes in the renal tissue were evaluated by hematoxylin-eosin， periodic acid-Schiff， periodic acid-silver methenamine， and Masson’s trichrome staining. Enzyme-linked immunosorbent assay kits were used to measure the levels of β2-microglobulin （β2-MG）， neutrophil gelatinase-associated lipocalin （NGAL）， kidney injury molecule-1 （KIM-1）， liver fatty acid-binding protein （L-FABP）， nitric oxide synthase （NOS）， glutathione （GSH）， total antioxidant capacity （T-AOC）， and 8-hydroxy-2'-deoxyguanosine （8-OHdG）. Immunohistochemical staining was performed to examine the expression of Kelch-like ECH-associated protein 1 （Keap1） and malondialdehyde （MDA）. Real-time fluorescence quantitative polymerase chain reaction (Real-time PCR） and Western blot were employed to determine the mRNA and protein levels， respectively， of factors in the Nrf2/HO-1/NQO1 signaling pathway. ResultsCompared with the control group， the DKD model group showed rises in blood glucose， 24-h urine protein， KI， SCr， BUN， and ALT levels， along with glomerular hypertrophy， renal tubular dilation， thickened basement membrane， mesangial expansion， and collagen deposition. Additionally， the model group showed elevated levels of β2-MG， NGAL， KIM-1， L-FABP， NOS， and 8-OHdG， lowered levels of GSH and T-AOC， up-regulated expression of MDA and Keap1， and down-regulated expression of Nrf2， HO-1， NQO1， and glutamate-cysteine ligase catalytic subunit （GCLC） （P<0.05）. Compared with the model group， the semaglutide group and the medium- and high-dose Yishen Tongluo prescription groups showed reductions in blood glucose， 24-h urine protein， KI， SCr， BUN， and ALT levels， along with alleviated pathological injuries in the renal tissue. In addition， the three groups showed lowered levels of β2-MG， NGAL， KIM-1， L-FABP， NOS， and 8-OHdG， elevated levels of GSH and T-AOC， down-regulated expression of MDA and Keap1， and up-regulated expression of Nrf2， HO-1， NQO1， and GCLC （P<0.05）. ConclusionYishen Tongluo prescription exerts renoprotective effects in the mouse model of DKD by modulating the Nrf2/HO-1/NQO1 signaling pathway， mitigating oxidative stress， and reducing renal tubular injuries.

ObjectiveTo investigate the anti-Alzheimer's disease （AD） effect of Dipsacus asper（DA） in the Caenorhabditis elegans model， and decipher the underlying mechanism via the peroxisome proliferator-activated receptor α （PPARα）/transcription factor EB （TFEB） pathway. MethodsFirst， transgenic AD C. elegans individuals were assigned into the blank control， model， positive control （WY14643， 20 µmol·L^-1）， and low-， medium-， and high-dose （100， 200， and 400 mg·L^-1， respectively） DA groups. The amyloid β-42 （Aβ₄₂） formation in the muscle cells， the paralysis time， and the deposition of amyloid β-protein （Aβ） in the head were detected. The lysosomal autophagy in the BV2 cell model was examined by Rluc-LC3wt/G120A. The expression levels of lysosomal autophagy-related proteins LC3Ⅱ， LC3I， LAMP2， and TFEB were detected by Western blot. Real-time quantitative polymerase chain reaction （Real-time PCR） was employed to determine the mRNA levels of autophagy-related genes beclin1 and Atg5 and lysosome-related genes LAMP2 and CLN2 downstream of PPARα/TFEB. A reporter gene assay was used to detect the transcriptional activities of PPARα and TFEB. Immunofluorescence was used to detect the fluorescence intensity of PPARα， and the active components of the ethanol extract of DA were identified by UPLC-MS. RCSB PDB， Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform （TCMSP）， and Autodock were used to analyze the binding between the active components and PPARα-ligand-binding domain （LBD）. ResultsCompared with the model group， the positive control group and 200 and 400 mg·L^-1 DA groups showed prolonged paralysis time （P<0.05）， and all the treatment groups showed decreased Aβ deposition in the head （P<0.01）. DA within the concentration range of 50-500 mg·L^-1 did not affect the viability of BV2 cells. In addition， DA enhanced the autophagy flux （P<0.05）， up-regulated the mRNA levels of beclin1， Atg5， LAMP2， and CLN2 （P<0.05， P<0.01）， promoted the nuclear translocation of TFEB （P<0.05）， increased LAMP2 expression and autophagy flux （P<0.05， P<0.01）， and enhanced the transcriptional activities of PPARα and TFEB （P<0.01）. The positive control group and 200 and 400 mg·L^-1 DA groups showed enhanced fluorescence intensity of PPARα in the BV2 nucleus （P<0.01）. UPLC-MS detected nine known compounds of DA， from which 8 active components of DA were screened out. The docking results suggested that a variety of components in DA could bind to PPARα-LBD and form stable hydrogen bonds. ConclusionDA may reduce the pathological changes in AD by regulating the PPARα-TFEB pathway.

Objective: To investigate the mechanism of Yishen Tongluo Formula in ameliorating renal pyroptosis in diabetic nephropathy mice by regulating the toll-like receptor 4 (TLR4)/myeloid differentiation factor 88 (MyD88)/nuclear factor-κB (NF-κB) signaling pathway. Methods: Sixty C57BL/6 male mice were randomly divided into control (10 mice) and intervention groups (50 mice) using random number table method. The diabetes nephropathy model was established by intraperitoneally injecting streptozotocin(50 mg/kg). After modeling, the intervention group was further divided into model, semaglutide (40 μg/kg), and high-, medium-, and low-dose Yishen Tongluo Formula groups (15.6, 7.8, and 3.9 g/kg, respectively) using random number table method. The high-, medium-, and low-dose Yishen Tongluo Formula groups were administered corresponding doses of medication by gavage, the semaglutide group received a subcutaneous injection of semaglutide injection, and the control group and model groups were administered distilled water by gavage for 12 consecutive weeks. Random blood glucose levels of mice in each group were monitored, and the 24-h urinary protein content was measured using biochemical method every 4 weeks; after treatment, the serum creatinine and urea nitrogen levels were measured using biochemical method. The weight of the kidneys was measured, and the renal index was calculated. Hematoxylin and eosin, periodic acid-Schiff, periodic Schiff-methenamine, and Masson staining were used to observe the pathological changes in renal tissue. An enzyme-linked immunosorbent assay was used to detect urinary β2-microglobulin (β2-MG), neutrophil gelatinase-associated lipocalin (NGAL), and kidney injury molecule-1 (KIM-1) levels. Western blotting and real-time fluorescence PCR were used to detect the relative protein and mRNA expression levels of nucleotide-binding domain leucine-rich repeat and pyrin domain-containing receptor 3 (NLRP3), Caspase-1, gasdermin D (GSDMD), interleukin-1β (IL-1β), and interleukin-18 (IL-18) in renal tissue. Immunohistochemistry was used to detect the proportion of protein staining area of the TLR4, MyD88, and NF-κB in renal tissue. Results: Compared with the control group, the random blood glucose, 24-h urinary protein, serum creatinine, urea nitrogen, and renal index of the model group increased, and the urine β2-MG, NGAL, and KIM-1 levels increased. The relative protein and mRNA expression levels of NLRP3, Caspase-1, GSDMD, IL-1β, and IL-18 in renal tissue increased, and the proportion of TLR4, MyD88, and NF-κB protein positive staining areas increased (P<0.05). Pathological changes such as glomerular hypertrophy were observed in the renal tissue of the model group. Compared with the model group, the Yishen Tongluo Formula high-dose group showed a decrease in random blood glucose after 12 weeks of treatment (P<0.05). The Yishen Tongluo Formula high- and medium-dose groups showed a decrease in 24-h urinary protein, creatinine, urea nitrogen, and renal index, as well as decreased β2-MG, NGAL, and KIM-1 levels. NLRP3, Caspase-1, GSDMD, IL-1 β, and IL-18 relative protein and mRNA expression levels were also reduced, and the proportion of TLR4, MyD88, and NF-κB protein positive staining areas was reduced (P<0.05). Pathological damage to renal tissue was ameliorated. Conclusion Yishen Tongluo Formula may exert protective renal effects by inhibiting renal pyroptosis and alleviating tubular interstitial injury in diabetic nephropathy mice by regulating the TLR4/MyD88/NF-κB signaling pathway.

Objective:To analyze the current status of the global burden of stroke disease from 1990 to 2019,to predict the development trend of stroke disease burden in the 30 years from 2020 to 2049,and to provide a basis for formulating national health policies on stroke diseases.Methods:The Global Burden of Disease Study 2019(GBD 2019)database was searched to extract global stroke disease incidence,prevalence,case fatality,and disability-adjusted life years(DALYs)disease burden indicators from 1990-2019,the trends over time were modeled using linear,Poisson,and exponential regressions,prediction and study of the relationship between stroke and sociodemographic index(SDI)based on per capita gross domestic product(GDP)were conducted.Results:The global burden of stroke disease increased significantly from 1990-2019 and is predicted to continue to rise over the next 30 years(2020-2049).In 2049,the global stroke incidence,prevalence,case fatality,and DALYs will increase by 8.53 million(63％),119.83 million(109％),7.79 million(118％)and 118.92 million person-years(79％),respectively,compared with 2019,with a significant increase in the burden of stroke in the elderly population.In the next 30 years,the age-standardized incidence rates of stroke in men and women will be similar,while the age-standardized rates of prevalence in women will be relatively higher,and age-standardized case fatality rates and DALYs in men will be relatively higher.The disease burden of stroke was negatively correlated with SDI.The burden of stroke disease was significantly higher in regions with a low SDI than in regions with a high SDI.Conclusion:The global burden of stroke will increase in the next 30 years,which may be related to the aging of population and closely related to the development of economy.It is necessary to strengthen the prevention of stroke and formulate targeted strategies targeted strategies according to different SDI regions.

Humans ; SARS-CoV-2 ; COVID-19 ; Antibodies ; Antibodies, Viral/therapeutic use* ; Antibodies, Neutralizing/therapeutic use*

OBJECTIVE To explore the effect mechanism of ethanol extract from Atractylodes macrocephala （EEAM） on microglial phagocytosis and degradation of amyloid β （Aβ） based on peroxisome proliferator-activated receptor γ （PPAR- γ） signaling pathway. METHODS Taking neuromicroglial cell BV2 as subjects， confocal microscopy was used to observe the effects of EEAM （0.3， 0.4， 0.5 mg/mL， similarly hereinafter） on phagocytosis and degradation of Aβ in microglia. Human embryonic kidney cell HEK293 was used to investigate the effects of EEAM on luciferase transcriptional activity of PPAR-γ. The effect of EEAM on nuclear translocation of PPAR-γ was investigated by immunofluorescence. Alzheimer’s disease BV2 cell model was induced by Aβ1-42， and quantitative polymerase chain reaction was used to investigate the effects of EEAM on mRNA expressions of PPAR-γ downstream target genes （Lxra， Lxrb， Abca1， Abcg1， Cd36， Sra and Apoe）. RESULTS The results of Aβ uptake experiment showed that after the intervention of medium and high doses of EEAM， fluorescence intensity of Aβ in BV2 cells increased significantly （P＜0.05）. The degradation experiment of Aβ showed that after the intervention of medium and high doses of EEAM， fluorescence intensity of Aβ in BV2 cells decreased significantly （P＜0.05）. After the intervention of different doses of EEAM， luciferase transcriptional activity of PPAR-γ in HEK293 cells increased significantly （P＜0.05）； fluorescence intensity of PPAR-γ in BV2 cells and nuclei （except for low-dose group） increased significantly （P＜0.05）. mRNA expressions of Lxra， Lxrb， Abca1， Abcg1， Cd36， Sra and Apoe in BV2 cells were increased significantly （P＜0.05）. CONCLUSIONS EEAM can promote the uptake and degradation of Aβ in microglia by activating PPAR-γ signaling pathway， thus improving Alzheimer’s disease.

OBJECTIVE To explore the mechanism of Yishen tongluo formula （YSTLF） in improving abnormal lipid metabolism based on the sterol regulatory element binding proteins （SREBPs） pathway. METHODS Using C57BLKS/J （db/db） mice as model and C57BLKS/J （db/m） mice as normal control， the mechanism of 1， 2.5 and 5 g/kg YSTLF improving abnormal lipid metabolism of db/db mice was investigated by determining the liver coefficient， the contents of serum total cholesterol （TC）， triglyceride （TG）， low-density lipoprotein （LDL） and high-density lipoprotein （HDL）， observing steatosis and lipid accumulation in liver tissue of mice， detecting the protein expressions of SREBP-1 and SREBP-2 as well as mRNA transcription levels of Srebp- 1c， Srebp-2 and their downstream lipid metabolism-related target genes （Fasn， Acc1， Scd5， Fads1， Hmgcr， Dhcr24， Insig-1， Fdps） in liver tissue of mice. Using low-fat cultured human liver cancer cell HepG2 as an in vitro cell model for abnormal lipid metabolism， and 25-HC （SREBPs inhibitor， 10 μmol/L） as the control， the effects of 125， 250 and 500 μg/mL YSTLF on protein expressions of SREBP-1 and SREBP-2 as well as mRNA transcription of SREBP-1c， SREBP-2 and their downstream lipid metabolism-related target genes were investigated to verify the mechanism in vitro. RESULTS 1， 2.5， 5 g/kg YSTLF significantly reduced the levels of TC， TG and LDL， the percentage of lipid droplet-positive region in liver tissue and liver coefficient， significantly down-regulated protein expressions of Pre-SREBP-1， n-SREBP-1， Pre-SREBP-2 and n-SREBP-2， and mRNA transcription of Srebp-1c， Srebp-2 and their downstream target genes in liver tissue， while significantly increased HDL level， with statistical significance （P＜0.05 or P＜0.01）. In the cell experiment in vitro， the expressions of the above-mentioned proteins and genes in the cells treated with YSTLF at 125， 250 and 500 μg/mL for 24 hours were consistent with those in the animal experiment； there was no significant difference in the expressions of the above-mentioned proteins and genes between inhibitor control group and 250， 500 μg/mL YSTLF groups （P＞0.05）. CONCLUSIONS YSTLF can regulate the expression of transcription factor SREBPs， so as to inhibit the high expression of fatty acid and cholesterol synthesis-related genes， promote the degradation of TC and TG， improve the abnormality of lipid metabolism and inhibit lipid accumulation， thus playing the role of lipid-lowering.

Objective: To develop a model incorporating radiomic features and clinical factors to accurately predict acute ischemic stroke (AIS) outcomes. Materials and Methods: Data from 522 AIS patients (382 male [73.2%]; mean age ± standard deviation, 58.9 ± 11.5 years) were randomly divided into the training (n = 311) and validation cohorts (n = 211). According to the modified Rankin Scale (mRS) at 6 months after hospital discharge, prognosis was dichotomized into good (mRS ≤ 2) and poor (mRS > 2); 1310 radiomics features were extracted from diffusion-weighted imaging and apparent diffusion coefficient maps. The minimum redundancy maximum relevance algorithm and the least absolute shrinkage and selection operator logistic regression method were implemented to select the features and establish a radiomics model. Univariable and multivariable logistic regression analyses were performed to identify the clinical factors and construct a clinical model. Ultimately, a multivariable logistic regression analysis incorporating independent clinical factors and radiomics score was implemented to establish the final combined prediction model using a backward step-down selection procedure, and a clinical-radiomics nomogram was developed. The models were evaluated using calibration, receiver operating characteristic (ROC), and decision curve analyses. Results: Age, sex, stroke history, diabetes, baseline mRS, baseline National Institutes of Health Stroke Scale score, and radiomics score were independent predictors of AIS outcomes. The area under the ROC curve of the clinical-radiomics model was 0.868 (95% confidence interval, 0.825–0.910) in the training cohort and 0.890 (0.844–0.936) in the validation cohort, which was significantly larger than that of the clinical or radiomics models. The clinical radiomics nomogram was well calibrated (p > 0.05). The decision curve analysis indicated its clinical usefulness. Conclusion The clinical-radiomics model outperformed individual clinical or radiomics models and achieved satisfactory performance in predicting AIS outcomes.

Objective:To compare the clinical outcomes of polyetheretherketone (PEEK) and titanium mesh as repair materials in the cranioplasty for cranial defect patients, and to screen the independent factors for postoperative complications of cranioplasty.Methods:A total of 95 patients with cranial defects admitted to our hospital from June 2012 to June 2019 were selected for this study. According to the different repair materials used in cranioplasty, these patients were divided into PEEK group ( n=36) and titanium mesh group ( n=59). General data (hospitalization cost, hospital stay, et al), postoperative complications (intracranial hemorrhage, subcutaneous effusion, infection, seizures, and implant exposure), postoperative plastic satisfaction, and improvement of postoperative neurological function (differences of Glasgow outcome scale [GOS] scores and Mini-mental State Examination [MMSE] scores before and 6 months after surgery) were compared between the 2 groups. Univariate and multivariate Logistic regression analyses were used to screen the independent factors for postoperative complications of cranioplasty. Results:The patients in the PEEK group had significantly higher hospitalization cost but significantly shortened length of hospital stay as compared with those in the titanium mesh group ( P<0.05). The overall incidence of complications in PEEK group was significantly lower than that in titanium mesh group ( P<0.05); the incidence of subcutaneous effusion in PEEK group was significantly lower than that in titanium mesh group ( P<0.05). The PEEK group had significantly higher proportion of patients with good satisfaction in postoperative plasticity, and significantly higher proportions of patients having increased GOS and MMSE scores as compared with the titanium mesh group ( P<0.05). Multivariate Logistic regression analysis showed that repair material was an independent factor for postoperative complications of cranioplasty ( OR=4.550, P=0.019, 95%CI: 1.281-16.161). Conclusion:As compared with titanium mesh, PEEK costs more, but its clinical application effect is better, especially in reducing postoperative complications; selection of appropriate repair materials can be used as one of the methods to reduce postoperative complications.

Objective To analyze the factors affecting the prognosis of patients with pulmonary sarcomatoid carcinoma (PSC) and construct a nomogram prediction model for the prognosis of PSC patients. Methods Based on the SEER database, 1671 patients diagnosed as PSC from 1988 to 2015 were collected and divided into modeling group and validation group according to the ratio of 7:3. Univariate and multivariate Cox regression analysis were performed in the modeling group to explore independent risk factors affecting the prognosis and construct a nomogram survival prediction model. The consistency index and calibration curve were used for verification in the modeling group and the test module respectively. Results Age, gender, histological type, TNM stage, tumor diameter > 50mm, surgery, radiotherapy and chemotherapy were independent factors that affected the prognosis of PSC patients. The nomogram prediction model was constructed and verified based on independent factors. The C indexes of the modeling group and the test model were 0.790 (95%CI: 0.776-0.804) and 0.781 (95%CI: 0.759-0.803), respectively. The calibration curves of the modeling group and the test model indicated that the predicted survival rate was basically the same as the actual survival rate. Conclusion The nomogram prediction model constructed based on the results of multivariate analysis can predict the prognosis of PSC patients, and has high accuracy and consistency.