Causal effects of immune cell surface antigens and functional outcome after ischemic stroke: a Mendelian randomization study.

Objective: While observational studies link immune cells with post-stroke functional outcome, the underlying immune mechanisms are not well understood. Immune cell surface antigens are actively involved in the biological behavior of immune cells, investigating immune cell surface antigens could deepen our comprehension of their role and biological processes in stroke recovery. Therefore, we aimed to investigate the immunological basis of stroke outcome by exploring the causal relationship between immune cell surface antigens and functional outcome after ischemic stroke in a Mendelian randomization study. Methods: Genetic variants related to immune cell surface antigens and post-stroke functional outcome were selected for two-sample Mendelian randomization (MR) analysis. 389 fluorescence intensities (MFIs) with surface antigens were included. Inverse variance weighted (IVW) modeling was used as the primary MR method to estimate the causal effect of exposure on the outcome, followed by several alternative methods and sensitivity analyses. Additional analysis of the association between immune cell surface antigens and risk of ischemic stroke for assessment of collider bias. Results: We found that suggestive associations between CD20 on switched memory B cell (OR = 1.16, 95% CI: 1.01-1.34, p = 0.036) and PDL-1 on monocyte (OR = 1.32, 95% CI: 1.04-1.66, p = 0.022) and poor post-stroke functional outcome, whereas CD25 on CD39+ resting Treg (OR = 0.77, 95% CI: 0.62-0.96, p = 0.017) was suggestively associated with good post-stroke functional outcome. Conclusion: The elevated CD20 on switched memory B cell, PDL-1 on monocyte, and CD25 on CD39+ resting Treg may be novel biomarkers and potential causal factors influencing post-stroke functional outcome.

Identification of the Integrated Prognostic Signature Associated with Immuno-relevant Genes and Long Non-coding RNAs in Acute Myeloid Leukemia.

BACKGROUND: Like other cancers, considerable effort has been made in acute myeloid leukemia (AML) to identify prognostic genes and long noncoding RNAs (lncRNAs) with their potential clinical applications. However, to date, no integrated prognostic model has been developed that combines both gene expression and lncRNAs as a singular approach in AML. METHOD: Comprehensive bioinformatic approaches (Weighted gene co-expression network analysis, Univariate Cox regression analyses, Pearson correlation, LASSO-Cox regression, Wilcoxon test) were used to construct the signature and to define high- and low-risk groups in AML datasets. ESTIMATE and CIBERSORT algorithms were applied to investigate the potential impact of infiltrating immune cells based on the obtained signature in tumor microenvironment. In addition, gene ontology (GO) and KEGG enrichment were applied to explore the potential function of the signature. RESULTS: Herein, we focused on immune-related genes (IRGs) and immune-related long noncoding RNAs (IRlncRNAs) and constructed an integrated prognostic immunorelevant signature in AML. The obtained signature exhibit five IRGs (DAXX, PSMB8, CSRP1, RAC2 and PTPN6) and one IRlncRNA (AC080037.2) and is strictly associated with age and FAB (French-American-British classification). Importantly, the high-risk AML group (defined by the signature) correlated positively with three types of scores (immune score, stroma score, and ESTIMATE score). We also identified a few immune cells (resting mast cells and monocytes) potentially involved in the correlation between signature and survival of AML patients. The prognostic ability of the obtained signature was tested in the training cohort and then validated in both test and total cohorts. The pathway enrichment analysis confirmed the possible immune- related role of the signature. CONCLUSION: We constructed an integrated prognostic signature comprising five immune-related protein-coding genes (IRPCG) (DAXX, PSMB8, CSRP1, RAC2, and PTPN6) and one immune-related lncRNA (AC080037.2) that may serve as potential biomarkers for predicting survival and further stratifying AML patients.

Study on dysphagia from 2012 to 2021: A bibliometric analysis via CiteSpace.

Objectives: This study aims to review the documents on dysphagia, summarize the research direction, analyze the research hot spots and frontiers, report the research trends, and provide new ideas for future development in the field via CiteSpace. Methods: We retrieved articles on dysphagia published between 2012 and 2021 from the Web of Science Core Collection database. We downloaded the entire data and utilized CiteSpace version 5.8.R3 (64-bit) to analyze the number of publications annually, cited journals, countries, institutions, authors, cited authors, cited references, and keywords. We visualized the data with a knowledge map, collaborative network analysis, cluster analysis, and strongest citation burst analysis. Results: We obtained 14,007 papers with a continually increasing trend over time. The most productive country and institute in this field were the United States (4,308) and Northwestern University (236), respectively. Dysphagia (5,062) and Laryngoscope (2,812) were the most productive journals, Elizabeth Ward had the highest number of publications (84), and Logeman et al.'s article (centrality: 0.02) was the most referenced. The most common keywords were dysphagia, management, quality of life, deglutition disorder, diagnosis, aspiration, prevalence, children, outcome, and oropharyngeal dysphagia. Conclusion: This study analyzed the current literature on dysphagia via CiteSpace and identified its research hot spots and frontiers. The prevalent global trends in dysphagia research and the growing public awareness about healthcare and quality of life suggest that research on dysphagia will gain popularity with further breakthroughs.