2023
DOI: 10.3389/fimmu.2023.1234924
|View full text |Cite
|
Sign up to set email alerts
|

Gut microbiota and sepsis: bidirectional Mendelian study and mediation analysis

Zhi Zhang,
Lin Cheng,
Dong Ning

Abstract: BackgroundThere is a growing body of evidence that suggests a connection between the composition of gut microbiota and sepsis. However, more research is needed to better understand the causal relationship between the two. To gain a deeper insight into the association between gut microbiota, C-reactive protein (CRP), and sepsis, we conducted several Mendelian randomization (MR) analyses.MethodsIn this study, publicly available genome-wide association study (GWAS) summary statistics were examined to determine th… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
4
1

Citation Types

1
6
0
1

Year Published

2023
2023
2024
2024

Publication Types

Select...
6
2

Relationship

0
8

Authors

Journals

citations
Cited by 15 publications
(8 citation statements)
references
References 50 publications
1
6
0
1
Order By: Relevance
“…When the regression intercept was non-zero and the p < 0.05, we regarded it as a statistically significant indicator of genetic pleiotropy. Heterogeneity was assessed using Cochran’s Q test ( Zhang et al, 2023 ). In the presence of heterogeneity, we first performed a random-effects IVW analysis.…”
Section: Methodsmentioning
confidence: 99%
“…When the regression intercept was non-zero and the p < 0.05, we regarded it as a statistically significant indicator of genetic pleiotropy. Heterogeneity was assessed using Cochran’s Q test ( Zhang et al, 2023 ). In the presence of heterogeneity, we first performed a random-effects IVW analysis.…”
Section: Methodsmentioning
confidence: 99%
“…The most common genetic variants are single-nucleotide polymorphisms (SNPs), which are randomly assigned to offspring along with gametes and occur before disease onset, and thus, MR is less susceptible to confounding factors and reverse causation. To date, despite several MR analyses investigating the causal relationship between gut microbiota and sepsis, the selection of genome-wide association studies (GWAS) data for sepsis outcomes is not entirely consistent ( 15 , 16 ). The GWAS outcome data for sepsis selected by Chen et al.…”
Section: Introductionmentioning
confidence: 99%
“…The most common genetic variants are single-nucleotide polymorphisms (SNPs), which are randomly assigned to offspring along with gametes and occur before disease onset, and thus, MR is less susceptible to confounding factors and reverse causation. To date, despite several MR analyses investigating the causal relationship between gut microbiota and sepsis, the selection of genome-wide association studies (GWAS) data for sepsis outcomes is not entirely consistent (15,16). The GWAS outcome data for sepsis selected by Chen et al were derived from the 2020 UK Biobank (10,154 cases; 452,764 controls), and these are not the most up-to-date GWAS data available (15), while the study conducted by Zhang et al incorporated various sepsis outcome GWAS data, which included patients below 75 years, 28-day mortality, critical care units (ICU), and 28-day mortality in ICU.…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…This is achieved by employing single-nucleotide polymorphisms (SNPs) closely linked to relevant risk factors as instrumental variables (IVs) ( Emdin et al., 2017 ). The reliability of the causal relationship within this methodology stems from the fact that the random allocation of alleles during embryonic meiosis remains largely impervious to the influence of most confounding variables ( Zhang et al., 2023 ). To address the current void in Mendelian randomization (MR) analyses concerning the causal nexus between gut microbiota and Gastroduodenal ulcer, we undertook a comprehensive genome-wide association study (GWAS) followed by a two-sample Mendelian randomization (MR) investigation.…”
Section: Introductionmentioning
confidence: 99%