1.Evaluating the relationship between intracranial atherosclerotic plaque stability and stroke recurrence risk with high-resolution MRI
Sijin HE ; Yingbin LI ; Yanting ZHANG ; Xiaoxin BAI
Chinese Journal of Cerebrovascular Diseases 2017;14(7):351-355
Objective To investigate the relationship between intracranial atherosclerotic plaque stability and stroke recurrence risk.Methods Forty-eight patients with acute ischemic stroke caused by intracranial atherosclerosis in Guangdong Province Hospital of TCM were analyzed retrospectively.After the Essen Stroke Risk Scale (ESRS) was used to assess the risk factors for the patients,they were divided into either an ESRS ≥3 group (n=21 in the high-risk recurrence group) or an ESRS <3 group (n=27 in the low-risk recurrence group).Both groups of patients underwent high-resolution MR imaging (HR-MRI) examinations of the intracranial guilty vessels (basilar artery or unilateral middle cerebral artery).According to the signal intensity of HR-MRI on the T1-weighted imaging,T2-weighted imaging,and T1 fat suppression sequences,the intracranial atherosclerotic stable plaques and unstable plaques were distinguished.The stabilization of intracranial atherosclerotic plaques was compared in patients of both groups.Results There were significant differences in the age and incidences of hypertension,diabetes mellitus,and unstable plaques in patients of both groups (P<0.05).Further multivariate logistic regression analysis of the four factors showed that the age,hypertension,diabetes,and intracranial atherosclerotic unstable plaques were the high-risk factors for recurrent ischemic stroke (ORs,87.114,159.423,8.942,and 11.551,respectively;95%CIs 4.218-1 799.078,3.235-7 855.957,1.054-75.857,and 1.011-132.043,respectively;all P<0.05).Conclusion In addition to the traditional risk factors such as age,hypertension,and diabetes,the intracranial atherosclerotic unstable plaque is an independent risk factor for high-risk recurrence of ischemic stroke.
2.Distribution characteristics of the main multi-drugresistant bacteria in a hospital in Shandong province from 2012 to 2016
Haibo ZHENG ; Ping HE ; Yueling WANG ; Sijin MAN
International Journal of Laboratory Medicine 2018;39(4):419-421,425
Objective To analyze the main distribution of multi-drugresistant bacteria(MDROS)from 2012 to 2016.Methods Methicillin-resistant Staphylococcus aureus(MRSA),carbapenem-resistant Acinetobacter baumanni(CRABA),carbapenem-resistant Pseudomonas aeruginosa(CRPAE),vancomycin resistant entero-coccus(VRE),carbapenem-resistant Enterobacteriaceae bacteria(CRE)were retrospectively analyzed. Results There were 529 strains of MRSA,718 strains of CRABA,96 strains of CRPAE,4 strains of VRE,48 strains of CRE detected in five years,and most were from department of ICU,neurosurgery,respiratory,burns and paediatrics.The most MDROS were detected from sputum and excretion samples.There were 13 strains producing KPC-2,and 3 strains producing NDM-5 among 16 strains resistant to carbon penicillium strain.Con-clusion CRABA and MRSA are the main MDROS in the hospital.CRPAE,CRE and VRE are significantly lower than those in similar reports.The future work should focus on strengthening the management of various MDROS,while the timeliness and correctness of clinical specimen delivery are the prerequisite for reliable mo-nitoring data.
3.Calculation formulas and influence factors of effective lens position
Chinese Journal of Experimental Ophthalmology 2023;41(6):598-602
Cataract extraction is often combined with the implantation of intraocular lens (IOL) with the diopter matching the operated eye to restore optimal visual function after surgery.However, there are often errors between the actual refractive power of the operated eye and the predicted value.One of the major causes of postoperative refractive error is the change in IOL position compared with the expected position.In order to improve the accuracy of postoperative refraction prediction, Holladay proposed to introduce the concept of effective lens position (ELP) into the IOL diopter calculation formula.The differences in the parameters and algorithms incorporated in the calculation of ELP lead to differences in the accuracy of IOL calculation formulas.With the application of multi-parameter calculation methods, especially the formula based on the artificial intelligence algorithm, the accuracy of IOL calculation formula has been significantly improved.ELP is also affected by various factors such as differences in ocular anatomy, IOL design and material, and surgical procedures, especially the factors affecting the stability of the capsular bag that increase the difficulty of accurately predicting ELP.Therefore, the changes in postoperative ELP need to be further discussed in order to obtain more accurate postoperative refraction.This article aimed to give a review of the development of calculation formulas and the influencing factors of ELP.
4. Establishment of a model of hydrogen peroxide-induced injury in pulmonary artery endothelium cells and relevant mechanisms of oxidative stress
Jue YE ; Yangyang HE ; Yi YAN ; Junhan ZHAO ; Tianyu LIAN ; Xiaojian WANG ; Yu YAN ; Sijin ZHANG ; Shuhui YANG ; Zhicheng JING
Chinese Journal of Cardiology 2017;45(7):613-618
Objective:
To establish a hydrogen peroxide (H2O2) induced injury model of pulmonary artery endothelial cells (PAECs) and explore the molecular mechanisms of oxidative stress on the structure and function of PAECs in this model.
Methods:
Human PAECs were treated with H2O2 at different concentrations (25, 50, 100, 200, 400, 800, 1 600, 3 200, 6 400 μmol/L) for 4 and 24 h, respectively. The PAECs survival curve was obtained according to the cell viability measured by CCK-8 assay. The cell apoptosis of PAECs was detected by flow cytometry. The reactive oxygen species (ROS) generation and mitochondrial activity were measured using small molecule fluorescent probes. Proteins were extracted and the phosphorylation levels of signal molecules in PAECs were detected by Western blot assays.
Results:
(1) The effect of H2O2 at various concentrations on cell viability of PAECs: cell viability of PAECs decreased in proportion to increasing concentration of H2O2 after incubation for 4 h. The half maximal inhibitory concentration (IC50) of PAECs exposed to H2O2 for 4 and 24 h were 397.00 and 488.77 μmol/L, respectively. (2) The effect of H2O2 on cell apoptosis of PAECs: After H2O2 incubation for 4 h, proportions of PAECs at late-apoptosis ((22.58±3.69) %) and necrotic stage( (11.86±4.27)%) were significantly higher than those of control PAECs at late-apoptosis stage( (3.41±1.44)%,