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The causal relationship between bacterial pneumonia and diabetes: a two-sample mendelian randomization study.

Authors :
Pan S
Zhang Z
Pang W
Source :
Islets [Islets] 2024 Dec 31; Vol. 16 (1), pp. 2291885. Date of Electronic Publication: 2023 Dec 14.
Publication Year :
2024

Abstract

Background: Previous observational studies have established the high prevalence of bacterial pneumonia in diabetic patients, which in turn leads to increased mortality. However, the presence of a causal connection between bacterial pneumonia and diabetes remains unobserved.<br />Methods: We chose genome-wide significant (Ρ < 1 × 10 <superscript>-5</superscript> and Ρ < 1 × 10 <superscript>-6</superscript> ) and independent (r <superscript>2</superscript> < 0.001) single-nucleotide polymorphisms (SNPs) as instrumental variables (IVs) to proceed a bidirectional two-sample MR study. The extracted SNPs explored the relationship between bacterial pneumonia and diabetes by Inverse variance weighted (IVW), MR-Egger, and weighted median methods. In addition, we conducted the Heterogeneity test, the Pleiotropy test, MR-presso and the Leave-one-out (LOO) sensitivity test to validate the reliability of results.<br />Results: In an MR study with bacterial pneumonia as an exposure factor, four different types of diabetes as outcome. It was observed that bacterial pneumonia increases the incidence of GDM (OR = 1.150 (1.027-1.274, P  = 0.011) and T1DM (OR = 1.277 (1.024-1.531), P  = 0.016). In the reverse MR analysis, it was observed that GDM (OR = 1.112 (1.023-1.201, P  = 0.009) is associated with an elevated risk of bacterial pneumonia. However, no significant association was observed bacterial pneumonia with T1DM and other types of diabetes ( P  > 0.05).<br />Conclusion: This study utilizing MR methodology yields robust evidence supporting a bidirectional causal association between bacterial pneumonia and GDM. Furthermore, our findings suggest a plausible causal link between bacterial pneumonia and T1DM.

Details

Language :
English
ISSN :
1938-2022
Volume :
16
Issue :
1
Database :
MEDLINE
Journal :
Islets
Publication Type :
Academic Journal
Accession number :
38095344
Full Text :
https://doi.org/10.1080/19382014.2023.2291885