Development of a diagnostic model for pre-washout screening of primary aldosteronism.

PURPOSE: Primary aldosteronism (PA) diagnosis is affected by antihypertensive drugs that are commonly taken by patients with suspected PA. In this study, we developed and validated a diagnostic model for screening PA without drug washout. METHODS: We retrospectively analyzed 1095 patients diagnosed with PA or essential hypertension. Patients were randomly grouped into training and validation sets at a 7:3 ratio. Baseline characteristics, plasma aldosterone concentration (PAC), and direct renin concentration (DRC) before and after drug washout were separately recorded, and the aldosterone-to-renin ratio (ARR) was calculated. RESULTS: PAC and ARR were higher and direct renin concentration was lower in patients with PA than in patients with essential hypertension. Furthermore, the differences in blood potassium and sodium concentrations and hypertension grades between the two groups were significant. Using the abbreviations potassium (P), ARR (A), PAC (P), sodium (S), and hypertension grade 3 (3), the model was named PAPS3. The PAPS3 model had a maximum score of 10, with the cutoff value assigned as 5.5; it showed high sensitivity and specificity for screening PA in patients who exhibit difficulty in tolerating drug washout. CONCLUSION: PA screening remains crucial, and standard guidelines should be followed for patients to tolerate washout. The PAPS3 model offers an alternative to minimize risks and enhance diagnostic efficiency in PA for those facing washout challenges. Despite its high accuracy, further validation of this model is warranted through large-scale clinical studies.

[Characterizing immune microenvironment cell composition of chronic rhinosinusitis with nasal polyps based on mass cytometry technology].

Objective: To analyze the cellular composition characteristics of the nasal tissue immune microenvironment in patients with control, chronic rhinosinusitis without nasal polyps (CRSsNP), non-eosinophilic chronic rhinosinusitis with nasal polyps (neCRSwNP), and eosinophilic chronic rhinosinusitis with nasal polyps (eCRSwNP) using mass cytometry flow technology. Methods: Thirteen CRS patients who underwent endoscopic nasal surgery at the Department of Otorhinolaryngology Head and Neck Surgery of Peking Union Medical College Hospital from March to December 2022 were recruited, including 8 males and 5 females, aged 22.3 to 58.3 years. Three control mucosae were obtained from normal ethmoid or sphenoid sinuses of patients with benign tumors of the temporal fossa or non-functional pituitary adenomas who underwent endoscopic surgery, excluding allergic rhinitis and sinusitis. Sixteen clinical tissue samples (3 of control, 3 of CRSsNP, 4 of neCRSwNP, and 6 of eCRSwNP) were prepared into single-cell suspensions. Mass cytometry flow detection was performed using a combination of 42 molecular markers to analyze the differences in cell subpopulations among the groups. Data were analyzed using GraphPad Prism 9. Results: Based on the mass cytometry flow results, cells from control, CRSsNP, neCRSwNP, and eCRSwNP were divided into seven main cell subgroups, with detailed subgrouping of T/NK cells and myeloid cells. In T/NK cells, compared with the control group, the number of NK CD56bright cells increased in the CRSsNP group, while NK CD56dim cells decreased; compared with the CRSsNP group, the eCRSwNP group showed a decrease in NKT cells and CD4+Tem cells; compared with the CRSsNP group, the eCRSwNP group showed a significant increase in CD25 expression within Treg cells; compared with the CRSsNP group, the eCRSwNP group showed a significant decrease in Tbet expression in CD8+Teff cells and CD8+TRM cells; in eCRSwNP, the expression of CD103 in CD8+TRM cells was significantly lower than in CRSsNP. In myeloid cells, compared with the other three groups, the eCRSwNP group showed a significant increase in macrophages and a significant decrease in cDC1 and monocytes; compared with the control group and CRSsNP, the eCRSwNP group also showed a significant decrease in resting state macrophages; compared with the CRSsNP group, the eCRSwNP group showed a significant decrease in the level of CX3CR1 within cDC2 and monocytes; the expression levels of NLRP3 in cDC2 and macrophages in the eCRSwNP group were significantly higher than in the other three groups; compared with the control group, the expression levels of Gata3 in cDC2 and macrophages in the eCRSwNP group were also significantly increased; additionally, the expression of CCR2 within monocytes in the eCRSwNP group was lower than in the CRSsNP group. In ILC, compared with the control group, the expression of CCR6 decreased in the eCRSwNP group. Conclusions: Compared with the control group, CRSsNP, and neCRSwNP, eCRSwNP shows an increase in macrophage number, a decrease in cDC1 and resting state macrophages, and depletion of protective cells CD103+CD8+TRM. Additionally, the expression levels of CCR2 and CX3CR1 in monocytes of eCRSwNP are decreased.

[Theoretical models for influenza vaccination behavior at the individual level].

Influenza imposes a significant disease burden on society and individuals annually, and influenza vaccination is considered a significant public health measure to prevent influenza and reduce influenza-related severe disease and death. The low influenza vaccination rate in China is partly due to certain factors affecting the willingness and behavior of individuals to receive them. Scientific research and targeted interventions on these factors can effectively improve the vaccination situation. Commonly used individual-level theoretical models for influenza vaccination behavior include the health belief model, protection motivation theory, and theory of planned behavior. This study reviews theoretical models commonly employed in researching influenza vaccination willingness and behavior. An overview of these practical applications and challenges models is presented to provide references for relevant research and intervention programs in China.

Bioinformatic analysis identified common pathogenetic processes between epilepsy and COVID-19.

OBJECTIVE: With the ongoing progression of SARS-CoV-2-induced COVID-19, the post-acute COVID-19 syndrome (long COVID) has garnered increasing attention as a novel multisystem disorder. Long COVID-19 has been shown to impact the nervous system, leading to various neurological manifestations, including epilepsy and seizures. Current studies have reported a significant increase in the prevalence and mortality rate of epilepsy in COVID-19 patients. Additionally, COVID-19 exacerbates seizures in patients with epilepsy. However, the mechanisms underlying the impact of COVID-19 on epilepsy remain elusive. This research focused on further identifying and elucidating the molecular mechanisms and biological processes underlying the induction of epilepsy by COVID-19 through bioinformatic methods. MATERIALS AND METHODS: We retrieved four gene expression datasets related to COVID-19 and epilepsy patients from the GEO and ArrayExpress databases. By crossing the major modules of weighted gene co-expression network analysis (WGCNA), the commonly expressed genes of epilepsy and COVID-19 were identified. By establishing the protein-protein interaction (PPI) network of the common genes, 20 hub genes were recognized through CytoHubba. Furthermore, functional enrichment and immune cell infiltration analyses were conducted to explore the potential mechanisms of COVID-19-related epilepsy. RESULTS: We identified a total of 373 common genes between the two diseases. The functional enrichment analysis revealed that the common genes were mainly involved in biological processes related to the immune response. Further analysis of the Hub genes revealed the important role of abnormal lipid metabolism in the crosstalk between COVID-19 and epilepsy. LASSO regression identified CD38 and PRKCA as the potential shared diagnostic candidates, which also exhibited excellent diagnostic value in the validation dataset. The immune infiltration analysis showed that activated dendritic cells (DCs) were positively correlated with the phenotypes of both diseases. CONCLUSIONS: This research revealed the potential mechanisms of COVID-19-related epilepsy, providing novel insights for the prevention, diagnosis, and clinical management strategies of COVID-19-related epilepsy.