In this study, our aim was to investigate the protective effects of myricetin (single dose-100 mg/kg) on CLP-induced rat sepsis model by analyzing some immune mechanisms including inflammation and oxidative stress by different techniques such as Immunohistochemistry, ELISA, tissue biochemistry and Western Blotting. Twenty-eight Wistar albino rats were divided into 4 groups. The pro-inflammatory and anti-inflammatory cytokine levels were measured by ELISA technique. CD68 and Nuclear-Factor-Kappa-B (NF-κB) positivity rates were detected by IHC. Some of oxidative stress parameters were measured by tissue biochemistry, while Toll-lke Receptor-4 (TLR4) expression others were detected by Western blot technique. Sepsis caused a significant increase in all pro-inflammatory cytokine and oxidant levels. Also, it led to an increase in the positivity of CD68 and NF-κB markers as well as the expression levels of TNF-alpha, IL-1-beta, TLR4, Keap-1. However, single dose myricetin application normalized pro-inflammatory cytokine levels, increased anti-oxidant and anti-inflammatory cytokine levels, decreased positivity of CD68 and NF-κB and increased NRF2 and HO-1 expressions. As a conclusion, the beneficial effect of myricetin on lung injury also involved inhibition of TLR4/NF-κB pathway, suppression of proinflammatory cytokines and induction of anti-inflammatory cytokine production, regulation of oxidant and anti-oxidant system parameters, and activating the NRF2/Keap1/HO-1 pathway.

Introduction: Asthma is a chronic airway inflammatory disease characterized by variable airflow limitation and intermittent symptoms. In well-controlled asthma, auscultation and spirometry often appear normal, making diagnosis challenging. Moreover, bronchial provocation tests carry a risk of inducing acute bronchoconstriction. This study aimed to develop a non-invasive, objective, and reproducible diagnostic method using machine learning-based lung sound analysis for the early detection of asthma, even during stable periods. Methods: We designed a machine learning algorithm to classify controlled asthma patients and healthy individuals using respiratory sounds recorded with a digital stethoscope. We enrolled 120 participants (60 asthmatic, 60 healthy). Controlled asthma was defined according to Global Initiative for Asthma (GINA) criteria and was supported by normal spirometry, no pathological auscultation findings, and no exacerbations in the past three months. A total of 3600 respiratory sound segments (each 3 s long) were obtained by dividing 90 s recordings from 120 participants (60 asthmatic, 60 healthy) into non-overlapping clips. The samples were analyzed using Mel-Frequency Cepstral Coefficients (MFCCs) and Tunable Q-Factor Wavelet Transform (TQWT). Significant features selected with ReliefF were used to train Quadratic Support Vector Machine (SVM) and Narrow Neural Network (NNN) models. Results: In 120 participants, pulmonary function test (PFT) results in the asthma group showed lower FEV1 (86.9 ± 5.7%) and FEV1/FVC ratios (86.1 ± 8.8%) compared to controls, but remained within normal ranges. Quadratic SVM achieved 99.86% accuracy, correctly classifying 99.44% of controls and 99.89% of asthma cases. Narrow Neural Network achieved 99.63% accuracy. Sensitivity, specificity, and F1-scores exceeded 99%. Conclusion: This machine learning-based algorithm provides accurate asthma diagnosis, even in patients with normal spirometry and clinical findings, offering a non-invasive and efficient diagnostic tool.

The optimal positioned double-lumen endotracheal tubes (DLT) is crucial in thoracic surgery requiring lung isolation. This study aims to compare the accuracy and complication rates of DLT placement using videolaryngoscopy (VL) versus conventional direct laryngoscopy (DL). This retrospective single-center study included 89 patients who underwent thoracic surgery with DLT placement between July 2023 and May 2024. Patients were divided into two groups: VL (n = 45) and DL (n = 44). Patient characteristics, intubation times, malposition rates, and complications were recorded. DLT position was confirmed using fiberoptic bronchoscopy. The incidence of DLT malposition was significantly lower in the VL group (13.3%) compared to the DL group (31.8%) (p = 0.037). The overall complication rate was also lower in the VL group (4.4%) compared to the DL group (11.4%) (p = 0.024). The mean time from anesthesia induction to the first incision was shorter in the VL group (25.2 ± 6.1 min) than in the DL group (28.3 ± 6.5 min) (p = 0.02). VL significantly reduces the incidence of DLT malposition and associated complications in thoracic surgery compared to DL. The improved visualization and multiple blade options of the C-MAC videolaryngoscopy set likely contribute to these findings. Further research is warranted to confirm these results in larger, multicenter studies. Institutional Review Board (Registration number: 80576354-050-99/437, 27.06.2024).