Double-bundle versus single-bundle medial patellofemoral ligament reconstruction for recurrent patellar dislocation: A meta-analysis.

Purpose: To compare the clinical efficacy of single-bundle versus double-bundle reconstruction of the medial patellofemoral ligament (MPFL) for recurrent patellar dislocation (RPD) regarding knee function scores, postoperative complications, and imaging assessments.

Methods: A computerized search of PubMed, Cochrane Library, Embase, China Biomedical Literature Database (CBM), China National Knowledge Network (CNKI), and VIP Database was performed for single-bundle versus double-bundle reconstruction of the medial patellofemoral ligament for treatment of RPD. Randomized controlled trials (RCTs) were evaluated for quality using the risk-of-bias evaluation tool recommended by the Cochrane Collaboration Network, and Cohort studies (CSs) were assessed using the Newcastle-Ottawa Scale (NOS) scale.

Potential of gut microbiota metabolites in treating COPD: network pharmacology and Mendelian randomization approaches.

Objective: The gut microbiota and its metabolites exert a significant influence on COPD, yet the underlying mechanisms remain elusive. We aim to holistically evaluate the role and mechanisms of the gut microbiota and its metabolites in COPD through network pharmacology and Mendelian randomization approaches.

Methods: Employing network pharmacology, we identified the gut microbiota and its metabolites' impact on COPD-related targets, elucidating the complex network mechanisms involving the gut microbiota, its metabolites, targets, and signaling pathways in relation to COPD.

The causal nexus between diverse smoking statuses, potential therapeutic targets, and NSCLC: insights from Mendelian randomization and mediation analysis.

Objective: Lung cancer, the most prevalent malignancy, is typically diagnosed at an advanced stage. Smoking is a pivotal risk factor for NSCLC, yet the impact of various smoking statuses on NSCLC remains unclear. Thus, this study aims to explore whether different smoking statuses can causally influence NSCLC through effects on predictive targets, offering a novel perspective for NSCLC treatment.

Screening COPD-Related Biomarkers and Traditional Chinese Medicine Prediction Based on Bioinformatics and Machine Learning.

Purpose: To employ bioinformatics and machine learning to predict the characteristics of immune cells and genes associated with the inflammatory response and ferroptosis in chronic obstructive pulmonary disease (COPD) patients and to aid in the development of targeted traditional Chinese medicine (TCM). Mendelian randomization analysis elucidates the causal relationships among immune cells, genes, and COPD, offering novel insights for the early diagnosis, prevention, and treatment of COPD. This approach also provides a fresh perspective on the use of traditional Chinese medicine for treating COPD.

Genetic information supports a causal relationship between trace elements, inflammatory proteins, and COPD: evidence from a Mendelian randomization analysis.

Objective: Dietary factors and nutritional status may be among the risk factors for Chronic Obstructive Pulmonary Disease (COPD). There exists a certain correlation between trace elements and COPD. Through Mendelian Randomization (MR) analysis, we investigated the causal relationships between trace elements, inflammatory proteins, and COPD.