Notch Signaling Is Associated with Pulmonary Fibrosis in Patients with Pigeon Breeder's Lung by Regulating Oxidative Stress.

This study explored the molecular mechanism underlying the association of Notch signaling and oxidative stress with the occurrence of pulmonary fibrosis in patients with pigeon breeder's lung (PBL). Rat models of fibrotic PBL were constructed with freeze-dried protein powder, and the animals were divided into the control (intratracheal instillation of normal saline; n = 9), M (PBL model; intratracheal instillation of freeze-dried protein powder; n = 9), and M + D (PBL+ the Notch inhibitor DAPT; n = 9) groups. Immunohistochemistry was employed to observe the protein levels of pathway factors and α-SMA, and the levels of ROS, GSH-PX, SOD, and MDA were observed using ELISA. To verify the results of the animal experiment, cytological models were constructed. The M group and the M + D group had significantly increased α-SMA levels (P < 0.05). Although both groups had significantly higher key protein levels in the Notch channel, the M + D group had significantly lower levels relative to the M group (P < 0.05). Oxidative stress products were examined, and the levels of MDA and ROS were significantly increased, while those of GSH-PX and SOD were significantly decreased in the M and M + D groups as compared to the control, but the M group and the M + D group significantly differed (P < 0.05). These findings were further validated by the cytological experiment. Notch signaling is associated with pulmonary fibrosis in PBL by regulating cellular oxidative stress, and inhibiting this pathway can slow down pulmonary fibrosis progression.

The Prediction Model of Risk Factors for COVID-19 Developing into Severe Illness Based on 1046 Patients with COVID-19.

This study analyzed the risk factors for patients with COVID-19 developing severe illnesses and explored the value of applying the logistic model combined with ROC curve analysis to predict the risk of severe illnesses at COVID-19 patients' admissions. The clinical data of 1046 COVID-19 patients admitted to a designated hospital in a certain city from July to September 2020 were retrospectively analyzed, the clinical characteristics of the patients were collected, and a multivariate unconditional logistic regression analysis was used to determine the risk factors for severe illnesses in COVID-19 patients during hospitalization. Based on the analysis results, a prediction model for severe conditions and the ROC curve were constructed, and the predictive value of the model was assessed. Logistic regression analysis showed that age (OR = 3.257, 95% CI 10.466-18.584), complications with chronic obstructive pulmonary disease (OR = 7.337, 95% CI 0.227-87.021), cough (OR = 5517, 95% CI 0.258-65.024), and venous thrombosis (OR = 7322, 95% CI 0.278-95.020) were risk factors for COVID-19 patients developing severe conditions during hospitalization. When complications were not taken into consideration, COVID-19 patients' ages, number of diseases, and underlying diseases were risk factors influencing the development of severe illnesses. The ROC curve analysis results showed that the AUC that predicted the severity of COVID-19 patients at admission was 0.943, the optimal threshold was -3.24, and the specificity was 0.824, while the sensitivity was 0.827. The changes in the condition of severe COVID-19 patients are related to many factors such as age, clinical symptoms, and underlying diseases. This study has a certain value in predicting COVID-19 patients that develop from mild to severe conditions, and this prediction model is a useful tool in the quick prediction of the changes in patients' conditions and providing early intervention for those with risk factors.

Establishment of Rat Models of Different Pathological Types of Hypersensitivity Pneumonitis Using Pigeon Droppings.

BACKGROUND: The pathogenesis and pulmonary histopathological characteristics of hypersensitivity pneumonitis (HP) are not yet fully understood. Therefore, we established animal models of HP of different stages, aiming to provide support for research on this disease. METHODS: We established rat models of pigeon breeder's lung of different pathological types by creating freeze-dried allergen powder from fresh pigeon feathers, dander, and other droppings. Freeze-dried allergen powder suspensions of pigeon droppings were used to establish 2 rat models of HP, one by aerosol inhalation and one by airway instillation, and the rats were sacrificed after different lengths of time to observe the pathological changes in their lung tissues. RESULTS: By the 40th week after allergen inhalation, granulomas were the main changes in the model, without fibrotic changes. When using airway instillation to establish the model, at the 20th week, group 1 (low dose + twice/week) and group 2 (medium dose + twice/week) showed granuloma changes, but no fibrosis; group 3 (high dose + once/week) and group 4 (high dose + twice/week) both showed obvious pulmonary fibrotic changes, but the death rate of rats in group 4 was greater. CONCLUSIONS: Both aerosol inhalation and airway instillation of freeze-dried pigeon allergen powder can successfully establish an HP model. The airway instillation method can cause pulmonary fibrotic changes in a short time, and the pulmonary pathological changes of animal models manifest with an obvious time-dose effect.