Expression of FoxO3a in sepsis mice and its association with lymphocyte apoptosis.

This study investigated forkhead box O3a (FoxO3a) expression in peripheral blood of sepsis mice and its correlation with lymphocyte apoptosis. Sixty male C57 mice were randomly assigned to sham, model, and intervention groups. Sepsis was induced via cecal ligation in the model and intervention groups, while sham mice underwent similar procedures excluding cecal ligation. Apoptosis proteins in lymphocytes were assessed by Western blotting, reactive oxygen species (ROS) levels by 2,7-Dichlorodi-hydrofluorescein diacetate (DCFH-DA), and serum interleukin-1ß (IL-1ß) and IL-10 content. The model group exhibited elevated mortality, increased lymphocyte apoptosis, higher Caspase3 expression, and lower Bcl-2/Bax ratio compared to sham and intervention groups. Additionally, the model group displayed decreased serum IL-10, elevated IL-1ß, heightened lymphocytic ROS, reduced FoxO3a expression, and increased levels of p-FoxO3a, p-PI3K, and p-Akt compared to sham. In sepsis mice, inhibited FoxO3a signaling in lymphocytes leads to enhanced apoptosis, elevated ROS, and immune cell dysfunction, contributing to increased mortality.

Associations between plasma metal elements and risk of cognitive impairment among Chinese older adults.

Background: The relationship between plasma metal elements and cognitive function is unclear, especially in extremely older individuals. This present study aimed to explore the association between plasma metal concentrations and the risk of cognitive impairment (CI) in Chinese extremely older adults. Methods: Individuals aged ≥90 years with plasm metal concentration data from the fifth wave of the 2008 Chinese Longitudinal Healthy Longevity Survey were included. Plasma selenium (Se), manganese (Mn), magnesium (Mg), calcium (Ca), iron (Fe), copper (Cu), and zinc (Zn) concentrations were measured using inductively coupled plasma optical emission spectroscopy. Cognitive function was assessed by the Chinese version of the mini-mental state examination. Results: The study enrolled 408 participants. Participants with CI had significantly lower plasma Se, Mn, and Fe levels and higher Ca levels than those with normal cognitive function (p < 0.05). Plasma Se, Mn, Ca, and Fe concentrations were significantly associated with CI risk in both single- and multiple-element logistic regression models. Additionally, the multiple-element model results showed that the adjusted odds ratios for CI were 0.042 (95% confidence interval 0.016-0.109), 0.106 (0.044-0.255), 7.629 (3.211-18.124) and 0.092 (0.036-0.233) for the highest quartiles compared to the lowest quartiles of Se, Mn, Ca, and Fe, respectively. Moreover, subgroup analyses by age, sex, and body mass index suggested a consistent significant correlation (p < 0.05). Conclusion: Therefore, decreased plasma Se, Mn, and Fe and increased plasma Ca levels were associated with CI risk in Chinese older adults. These findings are of great significance for the development of programs to delay cognitive decline in the elderly.

Early Prediction Model of Acute Aortic Syndrome Mortality in Emergency Departments.

Purpose: Acute aortic syndrome is a constellation of life-threatening medical conditions for which rapid assessment and targeted intervention are important for the prognosis of patients who are at high risk of in-hospital death. The current study aims to develop and externally validate an early prediction mortality model that can be used to identify high-risk patients with acute aortic syndrome in the emergency department. Patients and Methods: This retrospective multi-center observational study enrolled 1088 patients with acute aortic syndrome admitted to the emergency departments of two hospitals in China between January 2017 and March 2021 for model development. A total of 210 patients with acute aortic syndrome admitted to the emergency departments of Peking University Third Hospital between January 2007 and December 2021 was enrolled for model validation. Demographics and clinical factors were collected at the time of emergency department admission. The predictive variables were determined by referring to the results of previous studies and the baseline analysis of this study. The study's endpoint was in-hospital death. To assess internal validity, we used a fivefold cross-validation method. Model performance was validated internally and externally by evaluating model discrimination using the area under the receiver-operating characteristic curve (AUC). A nomogram was developed based on the binary regression results. Results: In the development cohort, 1088 patients with acute aortic syndromes were included, and 88 (8.1%) patients died during hospitalization. In the validation cohort, 210 patients were included, and 20 (9.5%) patients died during hospitalization. The final model included the following variables: digestive system symptoms (OR=2.25; P=0.024), any pulse deficit (OR=7.78; P<0.001), creatinine (µmol/L)(OR=1.00; P=0.018), lesion extension to iliac vessels (OR=4.49; P<0.001), pericardial effusion (OR=2.67; P=0.008), and Stanford type A (OR=10.46; P<0.001). The model's AUC was 0.838 (95% CI 0.784-0.892) in the development cohort and 0.821 (95% CI 0.750-0.891) in the validation cohort, and the Hosmer-Lemeshow test showed p=0.597. The fivefold cross-validation demonstrated a mean accuracy of 0.94, a mean precision of 0.67, and a mean recall of 0.13. Conclusion: This risk prediction tool uses simple variables to provide robust prediction of the risk of in-hospital death from acute aortic syndrome and validated well in an independent cohort. The tool can help emergency clinicians quickly identify high-risk acute aortic syndrome patients, although further studies are needed for verifying the prospective data and the results of our study.