Objective To compare the effects of cobalt chloride (CoCl2) induced chemical hypoxia and hypoxia environment on the proliferation,migration and phenotype transformation of rat primary pulmonary artery fibroblasts (PAFs).Methods Primary PAFs were isolated and cultured.Cells were stimulated by CoCl2,or hypoxia cell culture (1% O2) was used to stimulate and induce PAFs.Then the effects of CoCI2 and hypoxia environment on PAFs were compared by CCK-8 assay,scratch assay,transwell assay,phenotype marker protein expression and PI3K/Akt signaling pathway protein expression.Results Compared with the control group,100 μmol/mL CoCl2 stimulation had no significant effect on the cell proliferation activity,cell migration ability and phenotype transformation ability of PAFs (P>0.05);while 1% O2 could significantly improve the cell proliferation and migration activities of PAFs as well as the upregulation of α-SMA expression (P<0.05).Conclusion There exist differences of effects between CoCl2 induced chemical hypoxia and hypoxia environment on promoting cell proliferation, cell migration and phenotype transformation in PAFs.

OBJECTIVETo investigate brazilein's role in energy metabolism of cerebral ischemia-reperfusion in mice.

METHODFourty mice were randomly divided into the sham group, ischemia group, brazilein 5 mg x kg(-1) group and brazilein 10 mg x kg(-1) group, each with ten cases. Cerebral ischemia model was the built. Mice were injected with brazilein three days before the operation, then they were killed. Cerebrum homogenate was prepared for the detecting of ATP, ADP, AMP and lactic acid by HPLC, expressions of MCT1 and MCT2 in mRNA level by RT-PCR.

RESULTThe lactic acid in cerebrum increased sharply 20 minutes after cerebral ischemia and decreased 1 hour after reperfusion, then returned to the normal level 24 hours after reperfusion. The charge of energy decreased significantly at the beginning of the ischemia-reperfusion, and the charge restored 1 hour after reperfusion though it was still much lower than the normal level at the time point of 24 hours. Moreover, MCT1 and MCT2 upregulated accompanied with the increase of lactate, MCT2 mRNA enhanced in brazilein 5 mg x kg(-1) group (P < 0.05) while both the two factors increased in brazilein 10 mg x kg(-1) group (P < 0.01).

CONCLUSIONBrazilein might protect neurons by changing the charge of energy.

Animals ; Benzopyrans ; administration & dosage ; Brain Ischemia ; drug therapy ; genetics ; metabolism ; Disease Models, Animal ; Energy Metabolism ; drug effects ; Gene Expression ; drug effects ; Humans ; Indenes ; administration & dosage ; Male ; Mice ; Mice, Inbred ICR ; Monocarboxylic Acid Transporters ; genetics ; metabolism ; Random Allocation ; Reperfusion Injury ; drug therapy ; genetics ; metabolism ; Symporters ; genetics ; metabolism

OBJECTIVE: In order to solve the technical problems, clinical researchers face the process of medical imaging analysis such as data labeling, feature extraction and algorithm selection, a medical imaging oriented multi-disease research platform based on radiomics and machine learning technology was designed and constructed. METHODS: Five aspects including data acquisition, data management, data analysis, modeling and data management were considered. This platform provides comprehensive functions such as data retrieve and data annotation, image feature extraction and dimension reduction, machine learning model running, results validation, visual analysis and automatic generation of analysis reports, thus an integrated solution for the whole process of radiomics analysis has been generated. RESULTS: Clinical researchers can use this platform for the whole process of radiomics and machine learning analysis for medical images, and quickly produce research results. CONCLUSIONS This platform greatly shortens the time for medical image analysis research, decreasing the work difficulty of clinical researchers, as well as significantly promoting their working efficiency.
Machine Learning ; Diagnostic Imaging ; Algorithms ; Radiography

Objective:A rare case of δ-globin gene (HBD) mutation in Guangdong Province was analyzed to provide reference for avoiding misdiagnosis of δ-thalassemia in clinic.Methods:The patient was admitted to Guangdong Maternal and Child Health Hospital, and the peripheral blood sample was collected for hematological phenotypes [mean erythrocyte volume (MCV), mean erythrocyte hemoglobin content (MCH), hemoglobin (Hb)] and Hb typing analysis. The routine deletion and mutation of α-thalassemia and β-thalassemia genes were analyzed by PCR-flow fluorescence hybridization. At the same time, DNA sequencing was used to analyze the type of HBD mutation.Results:The results of hematological phenotypes analysis showed that MCV was 87.9 fl, MCH was 29.3 pg, and Hb content was 140 g/L. The results of Hb typing showed that the contents of Hb F, Hb A 2, Hb A 2 variant, and Hb A were 0.4%, 1.3%, 0.6%, and 97.7%, respectively. No abnormality was found in α-thalassemia and β-thalassemia genes by routine deletion and mutation detection. According to DNA sequencing analysis, the patient had HBD: c.349 C>G variant. Conclusion:The low Hb A 2 content (reference value is 2.5% - 3.5%) in this case is due to the mutation of HBD, HBD: c.349 C>G variant is rare in Chinese population.

Objective:To investigate the influencing factors for total number, total volume, and total iron burden of cerebral microbleeds (CMBs) and the relationship between CMBs with cognitive impairment in end-stage renal disease (ESRD) using semi-automatic quantitative susceptibility mapping (QSM).Methods:The study was a cross-sectional study. Clinical and imaging data of 46 ESRD patients with≥1 CMBs who attended Tianjin First Central Hospital from November 2018 to August 2022 were retrospectively analyzed. There were 26 males and 20 females, aged 42-75 years. All patients underwent susceptibility-weighted imaging (SWI) scanning, then SWI data was post-processed to obtain QSM. The semi-automatic dynamic programming algorithm was used to get the volume and mean susceptibility value of each CMB by sketching the boundary of CMBs. The CMBs iron load total volume were calculated. Stepwise linear regression analysis was used to explore independent influencing factors for the number, total volume, and total iron burden of CMBs in ESRD patients. Partial correlation analysis was used to explore the relationship between CMBs and cognitive impairment with the other signs of cerebral small vessel diseases as covariates.Results:In patients with ESRD, CMBs were located in the frontal lobe in 19 cases, parietal lobe in 9 cases, temporal lobe in 19 cases, occipital lobe in 14 cases, basal ganglia in 27 cases, dorsal thalamus in 15 cases, centrum semiovale in 14 cases, cerebellum in 14 cases, and brainstem in 13 cases. C-reactive protein levels (95% CI 101.81-157.85, r=0.96, P=0.001) and creatinine levels (95% CI 5.32-29.61, r=0.71, P=0.010) were influencing factors for the total iron burden of CMBs. C-reactive protein levels (95% CI 0.72-1.15, r=0.99, P=0.001) and creatinine levels (95% CI 0.03-0.22, r=0.89, P=0.014) were influencing factors for the total volume of CMBs. C-reactive protein levels (95% CI 0.10-0.12, r=0.96, P=0.001) and alkaline phosphatase levels (95% CI 0.16-0.38, r=0.59, P=0.001) were influencing factors for the number of CMBs. The total volume ( r=-0.61, P=0.009) and total iron burden ( r=-0.71, P=0.002) of CMBs in the frontal lobe were negatively correlated with cognitive function. However, although the number of CMBs in the frontal lobe was negatively correlated with cognitive function, the statistics analysis was insignificant ( r=-0.53, P=0.063). Conclusions:C-reactive protein and creatinine are influencing factors for CMBs′ total volume and total iron burden; C-reactive protein levels and alkaline phosphatase are influencing factors for the number of CMBs. The total iron burden and total volume of CMBs in the frontal lobe may be the biomarkers of cognitive impairment in patients with end-stage renal disease.