Asunto(s)
Aneurisma de la Aorta Torácica/cirugía , Disección Aórtica/cirugía , Implantación de Prótesis Vascular , Procedimientos Endovasculares , Hematoma/cirugía , Adulto , Anciano , Disección Aórtica/diagnóstico por imagen , Aneurisma de la Aorta Torácica/diagnóstico por imagen , Prótesis Vascular , Implantación de Prótesis Vascular/efectos adversos , Implantación de Prótesis Vascular/instrumentación , Procedimientos Endovasculares/efectos adversos , Procedimientos Endovasculares/instrumentación , Femenino , Hematoma/diagnóstico por imagen , Humanos , Masculino , Persona de Mediana Edad , Estudios Retrospectivos , Resultado del TratamientoRESUMEN
PM2.5 refers to ambient air particulate matter with aerodynamic diameters ≤ 2.5 µm, which has been a global environmental problem threatening public health in recent years. Melatonin serving as one of the predominant hormones secreted by the pineal gland displays multiple pharmacological properties in various diseases. However, little is known about the possible effects of melatonin in the development of lung injury induced by PM2.5. This study was designed to explore the potential roles of melatonin as well as its possible mechanisms in PM2.5-induced lung injury. In the present study, mice were intratracheally instilled with PM2.5 dissolved in sterile water to induce lung injury with or without intragastric administration of melatonin. The results showed that melatonin treatment significantly alleviated lung pathological injury and edema, apart from inhibiting inflammatory cell infiltration. Meantime, melatonin also decreased the makers of ferroptosis and lipid peroxidation products in lung tissues challenged with PM2.5. Additionally, melatonin promoted the nuclear translocation and expression of Nrf2 and the protein degradation of Keap1. However, the pulmonary protection and anti-ferroptosis effect of melatonin were counteracted in Nrf2-deficiency mice. In vitro experiments further demonstrated that Nrf2 knockdown could offset anti-ferroptosis effect of melatonin in MLE-12 lung epithelial cells. Taken together, our study disclosed that melatonin could relieve PM2.5-induced lung injury via inhibiting ferroptosis of lung epithelial cells by activating Nrf2. Hence, melatonin may be a promising candidate against lung injury associated with air particulate matter.
Asunto(s)
Ferroptosis , Lesión Pulmonar , Melatonina , Animales , Células Epiteliales/metabolismo , Proteína 1 Asociada A ECH Tipo Kelch , Pulmón/metabolismo , Lesión Pulmonar/inducido químicamente , Lesión Pulmonar/tratamiento farmacológico , Lesión Pulmonar/prevención & control , Melatonina/farmacología , Ratones , Factor 2 Relacionado con NF-E2/genética , Factor 2 Relacionado con NF-E2/metabolismo , Material Particulado/toxicidadRESUMEN
Objective@#To preliminary explore the feasibility of three-dimensional transesophageal echocardiography (3D-TEE) as images data source for 3D printing model by comparing the 3D-TEE with CT of the aortic root Digital Imaging and Communications in Medicine(DICOM) data into 3D printing models respectively.@*Methods@#Fifteen patients who underwent surgical aortic valve replacement in the hospital were enrolled, and the aortic root 3D-TEE and CT DICOM data were obtained in perioperative. The images were imported into Mimics software to generate digital model standard tessellation language file, and to print the aortic root models by 3D printer. The structural morphology of both 3D-TEE and CT models were qualitatively evaluated respectively. The aortic annular area, perimeter, maximal diameter and minimal diameter of the original data, digital model, model and aortic valve replacement were quantitatively evaluated, and the consistency of each parameter value were analyzed. The mean diameter of 3D-TEE and CT model were calculated. The correlation of mean diameter with the number of replacement was analyzed.@*Results@#①Both 3D-TEE and CT images data were successfully printed into 3D models, and the positive rate of aortic valve structure were 93.3% (14/15) and 80.0% (12/15) respectively. ②The measured values of the aortic annular 3D-TEE and digital model were smaller than CT, CTdigital model and replacement (P<0.05), and the measurement consistency among groups was high. ③The parameter values of 3D-TEE model were smaller than CT model (P<0.05), and the measured values were all within the consistency range. The mean diameters were highly correlated with the replacement values (r>0.95, P<0.05).@*Conclusions@#3D printing aortic root model based on 3D-TEE image data is of high feasibility.
RESUMEN
Objective To preliminary explore the feasibility of three‐dimensional transesophageal echocardiography ( 3D‐T EE) as images data source for 3D printing model by comparing the 3D‐T EE with CT of the aortic root Digital Imaging and Communications in M edicine ( DICOM ) data into 3D printing models respectively . Methods Fifteen patients w ho underwent surgical aortic valve replacement in the hospital were enrolled ,and the aortic root 3D‐T EE and CT DICOM data were obtained in perioperative . T he images were imported into M imics software to generate digital model standard tessellation language file ,and to print the aortic root models by 3D printer . T he structural morphology of both 3D‐T EE and CT models were qualitatively evaluated respectively . T he aortic annular area ,perimeter ,maximal diameter and minimal diameter of the original data , digital model , model and aortic valve replacement were quantitatively evaluated ,and the consistency of each parameter value were analyzed . T he mean diameter of 3D‐T EE and CT model were calculated . T he correlation of mean diameter with the number of replacement was analyzed . Results ①Both 3D‐TEE and CT images data were successfully printed into 3D models ,and the positive rate of aortic valve structure were 93 .3% ( 14/15) and 80 .0% ( 12/15) respectively . ②T he measured values of the aortic annular 3D‐T EE and digital model were smaller than CT ,CTdigital model and replacement ( P<0 .05) ,and the measurement consistency among groups was high . ③ T he parameter values of 3D‐T EE model were smaller than CT model ( P <0 .05 ) ,and the measured values were all within the consistency range . T he mean diameters were highly correlated with the replacement values ( r > 0 .95 , P < 0 .05 ) . Conclusions 3D printing aortic root model based on 3D‐TEE image data is of high feasibility .