Corilagin attenuates airway inflammation and collagen deposition in ovalbumin-induced asthmatic mice.

OBJECTIVE: To investigate the effects of corilagin on inflammation and collagen deposition in ovalbumin (OVA)-induced asthma mouse model and uncover the mechanism. METHODS: We constructed a mouse model of OVA-induced asthma. Enzyme-linked-immunosorbent serologic assays were conducted to detect the effects of corilagin on cytokines and Immunoglobulin E (IgE) production. Hematoxylin and eosin staining was used to show pathological features in lung tissues. Masson trichrome assay was used to examine collagen deposition. In addition, the lung function was detected by mouse lung function apparatus. Immunoblot was used to confirm the mechanism. RESULTS: Corilagin alleviates OVA-induced cytokine and IgE production. In addition, corilagin alleviates OVA-induced pathological changes and collagen deposition in lung tissues. Corilagin also suppressed airway resistance and lung function in mice. Mechanically, corilagin activated the adenosine monophosphate-activated protein kinase (AMPK) pathway in lung tissues. CONCLUSION: Corilagin attenuates airway inflammation and collagen deposition in OVA-induced asthmatic mice via AMPK pathway.

A NOMOGRAM FOR PREDICTING PATIENTS WITH SEVERE HEATSTROKE.

ABSTRACT: Background: No predictive models are currently available to predict poor prognosis in patients with severe heatstroke. We aimed to establish a predictive model to help clinicians identify the risk of death and customize individualized treatment. Methods: The medical records and data of 115 patients with severe heatstroke hospitalized in the intensive care unit of Changzhou No. 2 People's Hospital between June 2013 and September 2019 were retrospectively analyzed for modeling. Furthermore, data of 84 patients with severe heatstroke treated at Jintan No. 1 People's Hospital from June 2013 to 2021 were retrospectively analyzed for external verification of the model. We analyzed the hematological parameters of the patients recorded within 24 h of admission, which included routine blood tests, liver function, renal function, coagulation routine, and myocardial enzyme levels. Risk factors related to death in patients with severe heatstroke were screened using Least Absolute Shrinkage and Selection Operator regression. The independent variable risk ratio for death was investigated using the Cox univariate and multivariate regression analyses. The nomogram was subsequently used to establish a suitable prediction model. A receiver operating characteristic curve was drawn to evaluate the predictive power of the prediction model and the Acute Physiology and Chronic Health Evaluation (APACHE II) score. In addition, decision curve analysis was established to assess the clinical net benefit. The advantages and disadvantages of both models were evaluated using the integrated discrimination improvement and Net Reclassification Index. A calibration curve was constructed to assess predictive power and actual conditions. The external data sets were used to verify the predictive accuracy of the model. Results: All independent variables screened by Least Absolute Shrinkage and Selection Operator regression were independent risk factors for death in patients with severe heatstroke, which included neutrophil/lymphocyte ratio, platelet (PLT), troponin I, creatine kinase myocardial band, lactate dehydrogenase, human serum albumin, D-dimer, and APACHE-II scores. On days 10 and 30, the integrated discrimination improvement of the prediction model established was 0.311 and 0.364 times higher than that of the APACHE-II score, respectively; and the continuous Net Reclassification Index was 0.568 and 0.482 times higher than that of APACHE-II, respectively. Furthermore, we established that the area under the curve (AUC) of the prediction model was 0.905 and 0.918 on days 10 and 30, respectively. Decision curve analysis revealed that the AUC of this model was 7.67% and 10.67% on days 10 and 30, respectively. The calibration curve showed that the predicted conditions suitably fit the actual requirements. External data verification showed that the AUC on day 10 indicated by the prediction model was 0.908 (95% confidence interval, 82.2-99.4), and the AUC on day 30 was 0.930 (95% confidence interval, 0.860-0.999). Conclusion: The survival rate of patients with severe heatstroke within 24 h of admission on days 10 and 30 can be effectively predicted using a simple nomogram; additionally, this nomogram can be used to evaluate risks and make appropriate decisions in clinical settings.

Depression of long non-coding RNA SOX2 overlapping transcript attenuates lipopolysaccharide-induced injury in bronchial epithelial cells via miR-455-3p/phosphatase and tensin homolog axis and phosphatidylinositol 3-kinase/protein kinase B pathway.

Airway inflammation is associated with various respiratory diseases, and previous research has confirmed that long non-coding RNAs (lncRNAs) play imperative roles in inflammatory responses. However, the function of lncRNA SOX2 overlapping transcript (SOX2-OT) in airway inflammation remains enigmatic. This study aimed to investigate the effects of SOX2-OT on lipopolysaccharide (LPS)-induced cell injury in human bronchial epithelial cells, BEAS-2B, and its potential mechanisms. The results showed increased cell apoptotic ratio, production of inflammatory cytokines, higher expression of adhesion molecules and activation of NF-κB in LPS-stimulated BEAS-2B cells. In LPS-stimulated BEAS-2B cells, SOX2-OT up-regulation and miR-455-3p down-regulation emerged simultaneously. SOX2-OT knockdown or miR-455-3p over-expression restrained LPS-induced inflammation and injury. SOX2-OT sponged to miR-455-3p and functioned as a ceRNA. In addition, phosphatase and tensin homolog (PTEN) served as an endogenous target of miR-455-3p to modulate the phosphatidylinositol 3-kinase/protein kinase B (PI3K/AKT) pathway and disturb the alleviated consequence of miR-455-3p over-expression on LPS-induced BEAS-2B cell inflammation and cell injury. Our data demonstrated that SOX2-OT plays a pivotal role in LPS-induced inflammation and injury in BEAS-2B cells and exerts its function through the miR-455-3p/PTEN axis and modulation of the PI3K/AKT pathway.

hTERT gene polymorphism correlates with the risk and the prognosis of thyroid cancer.

OBJECTIVES: The study explored the association between rs10069690C/T and rs2736100G/T of human telomerase reverse transcriptase (hTERT) gene, and the prognosis of thyroid cancer. METHODS: The study had 452 thyroid cancer patients recruited as case group who hospitalized in Jingzhou Central Hospital from January 2001 to June 2004 and 452 healthy people recruited as control group at the same area. The hTERT gene polymorphisms at rs10069690 C/T and rs2736100 G/T were tested by polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) method. The association between patients' life quality and hTERT gene polymorphisms six months after surgery was evaluated based on the Cancer patients' quality of life index rating scale. RESULTS: There were statistical differences in genotype and allele frequencies of rs10069690 C/T between the case group and control group (both P < 0.05). An association between rs10069690C/T polymorphism and an increased risk of thyroid cancer was shown by logistic regression analysis (CT vs. CC, OR = 1.333, 95%CI = 1.006-1.766, P = 0.045; TT vs. CC, OR = 1.910, 95%CI = 1.084-3.367, P = 0.023; CT + TT vs. CC, OR = 2.246, 95%CI = 1.078-1.840, P = 0.006; T vs. C, OR = 1.376, 95%CI = 1.104-1.715, P = 0.004). Genotype frequency of rs2736100G/T between the two groups had no statistical differences (P > 0.05). After stratification according to age, T stage, tumor size and tumor node metastasis (TNM) stage, the distribution frequencies of CC genotype and CT + TT genotype of rs10069690C/T showed significant difference (P < 0.05). The life quality of patients with CC genotype was better than that of patients with CT $+$ TT genotype. The results of Cox regression model multifactor analysis showed that age, T stage, tumor size and rs10069690C/T were independent risk factors of thyroid cancer prognosis. CONCLUSIONS: hTERT gene polymorphism at rs10069690C/T is associated with the risk and prognosis of thyroid cancer, but hTERT gene polymorphism at rs2736100G/T is not.