Role of eosinophil counts in mediating the association between asthma and colon cancer.

Background: Epidemiological findings regarding the association between asthma and the risk of colon cancer (CC) are inconsistent. The causality and potential molecular mechanisms underlying asthma, eosinophil count, and CC remain unknown.

Methods: We performed Mendelian randomization (MR) analysis to investigate the causality between asthma and CC and attempted to demonstrate that asthma indirectly affects CC mediated by eosinophil count through mediation analysis.

Integrated multi-omics analyses revealed the association between rheumatoid arthritis and colorectal cancer: MYO9A as a shared gene signature and an immune-related therapeutic target.

Background: Our study aims to explore the relationship, shared gene signature, and the underlying mechanisms that connect rheumatoid arthritis (RA) to colorectal cancer (CRC).

Methods: Mendelian randomization (MR) analysis was conducted to assess the causality between RA and CRC. Summary statistic data-based Mendelian randomization (SMR) leveraging eQTL data was employed to identify the CRC-related causal genes.

Association between Atopic Dermatitis and Colorectal Cancer: TET2 as a Shared Gene Signature and Prognostic Biomarker.

Recent studies have linked atopic dermatitis (AD) to colorectal cancer (CRC) risk. Their causality and potential molecular mechanisms remain unclear. We performed Mendelian randomization (MR) analysis to evaluate the causality between AD and CRC.

Identifying the Interaction Between Tuberculosis and SARS-CoV-2 Infections via Bioinformatics Analysis and Machine Learning.

The number of patients with COVID-19 caused by severe acute respiratory syndrome coronavirus 2 is still increasing. In the case of COVID-19 and tuberculosis (TB), the presence of one disease affects the infectious status of the other. Meanwhile, coinfection may result in complications that make treatment more difficult.