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AIM: To study the protective effect of fenofibrate on diabetic retinal neurodegeneration and observe its effect on miR-26a-5p and its target gene PTEN in the retinal of diabetic mice.METHODS: Diabetic mice models were established and they were gavaged by fenofibrate. H& E staining and transmission electron microscopy were used to observe the impairments of retinal neurons. Real-time PCR was used to examine the expression of miR-26a-5p, and Western blotting was employed to measure the expression of phosphatase and tensin homologue(PTEN)in the retina of diabetic mice. The expression level of nuclear factor-κB(NF-κB), interleukin-1β(IL-1β)and the morphology of neural tissues were observed.RESULTS: When compared with the diabetic mice, fenofibrate significantly attenuated the damage to retinal ganglion cells and the atrophy of retinal nerve fiber layer. While the level of miR-26a-5p was increased and the levels of PTEN and inflammatory mediators were significantly decreased in the retina of fenofibrate treated diabetic mice, with significant statistical significance(P<0.05).CONCLUSIONS: Fenofibrate protects against diabetic retinal neurodegeneration by upregulating miR-26a-5p and inhibiting PTEN, attenuating the inflammatory response and alleviating retinal cell injury.
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Objective:To develop a risk prediction lineogram of neooperative atrial fibrillation in patients with esophageal cancer.Methods:The clinical data of 1 509 patients undergoing esophageal cancer surgery admitted to the department of esophageal surgery of our hospital from December 2019 to April 2022 were gathered, and they were divided into two layers according to whether they had new atrial fibrillation after surgery. In each layer, they were randomly divided into training set and test set in a ratio of 7∶3. In the training population, the multi-factor logistic regression method was used to establish the prediction model, and the line graph of the prediction model was drawn. The ROC curve and calibration curve were drawn to assess the differentiation ability and calibration ability of the prediction model. The test set population is used to validate the prediction model. Results:A total of 1 509 patients with esophageal cancer were included in the study, and the incidence of new atrial fibrillation after surgery was 247 patients(16.4%). A total of 1 039 patients(68.9%) were enrolled in the training set. The multivariate logistic regression model indicated that age, gender, BMI, pulmonary infection, the use of invasive ventilator, and the need for additional drainage of fluid accumulation were the influencing factors for new postoperative atrial fibrillation. The AUC of the training set prediction model under ROC curve was 0.775(95% CI: 0.737-0.812, P<0.001), indicating that the model has high predictive discrimination ability. Calibration curve and Hosmer- Lemeshow test results P=0.796, indicating that the model has good consistency of prediction ability. There were 470 subjects(31.1%) in the test set. The results showed that the AUC of the prediction model under the ROC curve was 0.773(95% CI: 0.719-0.826, P<0.001), indicating that the prediction model still has a high discriminative ability in the test set population. Conclusion:Patients with age, gender, BMI, pulmonary infection, the use of invasive ventilator, and the need for additional drainage of effusion are at higher risk of new atrial fibrillation after surgery. The timely prediction, prevention and management of POAF are crucial to improve the prognostic quality of postoperative patients with esophageal cancer by constructing clinical prediction models.
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Forty one patients with esophageal carcinoma (T3N1 M0 or less) underwent video-assisted thoracoscopic surgery (VATS) in prone position for esophagectomy from September 2006 to September 2010.The postoperative outcome and survival of patients were retrospectively analyzed.The results confirmed the feasibility and safety of this minimally invasive esophagectomy performed by thoracoscopy in the prone position for patients with esophageal carcinoma.