RESUMEN
BACKGROUND: Alzheimer's disease (AD) and mild cognitive impairment (MCI) are two neurodegenerative diseases. Most patients with MCI will develop AD. Early detection of AD and MCI is a crucial issue in terms of secondary prevention. Therefore, more diagnostic models need to be developed to distinguish AD patients from MCI patients. METHODS: In our research, the expression matrix and were screened from Gene Expression Omnibus (GEO) databases. A 14-gene diagnostic model was constructed with lasso logistic analysis. The efficiency and accuracy of diagnostic model have also been validated. In order to clarify the expression differences of 14 genes in health donor, AD and MCI, the blood samples of patients and healthy individuals were collected. The mRNA expression of the 14 genes in blood sample were detected. The SH-SY5Y cell injury model was constructed and biological function of POU2AF1 and ANKRD22 in SH-SY5Y have been proved. RESULTS: We obtained 16 genes which have an area under curve (AUC) ≥0.6. After that, a diagnostic model based on 14 genes was constructed. Validation in independent cohort showed that the diagnostic model has a good diagnostic efficiency. The expressions of 6 genes in AD patients were significantly lower than those in healthy individuals and MCI patients, while the expressions of 8 genes in AD patients were significantly higher than those in healthy individuals and MCI patients. In in vitro experiments, we found that two key genes POU2AF1 and ANKRD22 could regulate neuronal development by regulating cell viability and IL-6 expression. CONCLUSION: The diagnostic model established in this study has a good diagnose efficiency. Most of these genes in diagnostic model also showed diagnostic value in AD patients. This research also can help doctors make better diagnosis for the treatment and prevention of AD.
RESUMEN
BACKGROUND: This study provides a comprehensive, comparative and updated estimates of temporal patterns of lower respiratory infections (LRIs) globally over the past three decades. METHODS: The data on morbidity and mortality of patients with LRIs at the global, regional and national levels were retrieved from the Global Burden of Disease (GBD) 2019 study. RESULTS: Globally, the incident cases of LRIs increased from 414,342,866 [95% uncertainty interval (UI):383,529,625 to 449, 086,938]in 1990 to 488,902,504(95% UI: 457,572,987 to 522,635,542)in 2019 with the age standardized incidence rate (ASIR) decreased from 8,276/100,000 persons (95% UI: 7,727 to 8,892) to 6,295/100,000 persons (95% UI: 5,887 to 6,737) between 1990 and 2019. Number of LRIs deaths were 2,493,200 (95% UI: 2,268,184 to 2,736,184) in 2019, a decrease of 24.9% (95% UI: -34.4 to -15.4) in the past 30 years. Meanwhile, the age-standardized death rate (ASDR) declined also from 67/100,000 persons (95% UI: 61 to 73) in 1990 to 34/100,000 persons (95% UI: 31 to 38) in 2019. Moreover, the numbers and age-standardized rates per 100,000 persons of morbidity and mortality varied widely by age, sex, Socio-Demographic Index (SDI) quintiles, and geographical locations in 2019. CONCLUSION: LRIs remain a major public health concern . Some differences in age, sex, SDI quintiles, and geographical locations contribute to LRIs-related global health policy development and health system resource optimization.