Background
Observational studies have reported the association between tea consumption and the risk of lower respiratory tract infections (LRTIs). However, a consensus has yet to be reached, and whether the observed association is driven by confounding factors or reverse causality remains unclear.
Method
A two-sample Mendelian randomization (MR) analysis was conducted to determine whether genetically predicted tea intake is causally associated with the risk of common LRTI subtypes. Genome-wide association study (GWAS) from UK Biobank was used to identify single-nucleotide polymorphisms (SNPs) associated with an extra cup of tea intake each day. The summary statistics for acute bronchitis, acute bronchiolitis, bronchiectasis, pneumonia, and influenza and pneumonia were derived from the FinnGen project.
Results
We found that genetically predicted an extra daily cup of tea intake was causally associated with the decreased risk of bronchiectasis [odds ratio (OR) = 0.61, 95% confidence interval (CI) = 0.47–0.78,
P
< 0.001], pneumonia (OR = 0.90, 95% CI = 0.85–0.96,
P
= 0.002), influenza and pneumonia (OR = 0.91, 95% CI = 0.85–0.97,
P
= 0.002), but not with acute bronchitis (OR = 0.91, 95% CI = 0.82–1.01,
P
= 0.067) and acute bronchiolitis (OR = 0.79, 95% CI = 0.60–1.05,
P
= 0.100). Sensitivity analyses showed that no heterogeneity and pleiotropy could bias the results.
Conclusions
Our findings provided new evidence that genetically predicted an extra daily cup of tea intake may causally associated with a decreased risk of bronchiectasis, pneumonia, and influenza and pneumonia.
Supplementary Information
The online version contains supplementary material available at 10.1007/s00394-022-02994-w.
Few studies have directly compared the effects of different exercise therapies on reducing fatigue in patients with multiple sclerosis. Thus, we conducted a Frequentist network meta-analysis to analyze and compare the effectiveness of different types of exercise on reducing multiple sclerosis-related fatigue. Relevant randomized controlled trials were searched in PubMed, Web of Science and Cochrane Library databases from the date of their inception up to April 1, 2021. In total, 27 articles involving 1470 participants and 10 types of interventions met the inclusion criteria. The results indicated that aquatic exercise ranked as the most effective among these interventions, and aerobic exercise had small-to-moderate effect sizes. Most of the interventions were shown to be better than the control group, except for climbing. Climbing was the only intervention that ranked worse than the controls. All of these findings merit further investigation in future clinical trials.
Background: Clear cell renal cell carcinoma (CCRCC) has a high incidence and poor prognosis. Cuproptosis, an independent pattern of cell death associated with copper, plays an important role in cancer proliferation and metastasis. The role of cuproptosis-related genes (CRGs) in CCRCC is unclear.Methods: Transcriptome and clinical information for CCRCC were downloaded from The Cancer Genome Atlas (TCGA) database. After dividing the training and testing cohort, a 4-CRGs risk signature (FDX1, DLD, DLAT, CDKN2A) was identified in the training cohort using Least absolute shrinkage and selection operator (LASSO) and Cox regression analysis. The effect of the 4-CRGs risk signature on prognosis was assessed using Kaplan-Meier (KM) curves and time-dependent receiver operating characteristic (ROC) curves and verified using the testing cohort. For different risk groups, the immune statue was assessed using the CIBERSORT algorithm, the ssGSEA method and immune checkpoint expression data. Finally, a competitive endogenous RNA (ceRNA) network was constructed using miRTarbase and starBase databases to identify molecules that may have a regulatory relationship with CRCCC.Results: There were significant changes in the overall survival (OS), immune microenvironment, immune function, and checkpoint gene expression among the different risk groups. A ceRNA network consisting of one mRNA, two miRNAs, and 12 lncRNAs was constructed.Conclusion: The 4-CRGs risk signature provides a new method to predict the prognosis of patients with CCRCC and the effect of immunotherapy. We propose a new cuproptosis-associated ceRNA network that can help to further explore the molecular mechanisms of CCRCC.
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