Evidence mapPaperPMID 39762630Full record

ArticleInflammation research : official journal of the European Histamine Research Society ... [et al.]2025

Mediating role of blood metabolites in the relationship between immune cell traits and sepsis: a Mendelian randomization and mediation analysis.

Yi Liu, Yu Cao

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Article in Inflammation research : official journal of the European Histamine Research Society ... [et al.], 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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2 citing papers in PubMed.

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5 · Who and what money

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2 authors.

Yi LiuDepartment of Emergency Medicine, Institute of Disaster Medicine and Institute of Emergency Medicine, West China Hospital, West China School of Medicine, Sichuan University, Chengdu, 610041, People's Republic of China.
Yu CaoDepartment of Emergency Medicine, Institute of Disaster Medicine and Institute of Emergency Medicine, West China Hospital, West China School of Medicine, Sichuan University, Chengdu, 610041, People's Republic of China. yuyuer@126.com.

Funding

National Natural Science Foundation of China 82241060
6 · The paper itself

Abstract

backgroundA significant association between immune cells and sepsis has been suggested by observational studies. However, the precise biological mechanisms underlying this association remain unclear. Therefore, we employed a Mendelian randomization (MR) approach to investigate the causal relationship between immune cells and genetic susceptibility to sepsis, and to explore the potential mediating role of blood metabolites.

methodsA large cohort based on publicly available genome-wide association study datasets from European populations was utilized for the MR study. The primary model employed was the inverse variance weighted (IVW) model, assessing heterogeneity and pleiotropy. Moreover, a two-step MR approach was adopted to evaluate the potential mediating role of factors in the causal effects between immune cells and sepsis.

resultsResults from the IVW model indicated that the genetic prediction of CD62L on CD62L+ plasmacytoid dendritic cells (DC) (OR = 0.959, 95% CI [0.922-0.999], P = 0.043) was associated with a reduced risk of sepsis. Conversely, MR analysis with sepsis as the exposure and CD62L on CD62L+ plasmacytoid DC as the outcome did not demonstrate a significant causal relationship. Thus, mediation analysis was conducted, showing that the genetic prediction of CD62L on CD62L+ plasmacytoid DC (OR = 1.064, 95% CI [1.016-1.114], P = 0.008) was associated with increased levels of the metabolite N-palmitoyl-sphingadienine (d18:2/16:0). Similarly, MR analysis with N-palmitoyl-sphingadienine (d18:2/16:0) levels as the exposure and sepsis as the outcome found that the genetic prediction of N-palmitoyl-sphingadienine (d18:2/16:0) levels (OR = 0.843, 95% CI [0.748-0.950], p = 0.005) was associated with a reduced risk of sepsis. Furthermore, the results indicated that N-palmitoyl-sphingadienine (d18:2/16:0) levels mediated the causal impact of CD62L on CD62L+ plasmacytoid DC on sepsis, with a mediation proportion of 25.6% (95% CI [55.7%, - 4.51%]). DISCUSSION: These findings support the evidence of a causal relationship between the genetic prediction of CD62L on CD62L+ plasmacytoid DC and a reduced risk of sepsis, with N-palmitoyl-sphingadienine (d18:2/16:0) levels playing a mediating role in this pathway. These insights may inform prevention strategies and interventions targeting sepsis. Future research should explore additional potential biological mechanisms.

Indexed as

Dendritic CellsGenome-Wide Association StudyL-SelectinMediation AnalysisMendelian Randomization AnalysisSepsisE-SelectinGenetic Predisposition to DiseaseHumansPolymorphism, Single NucleotideE-SelectinL-SelectinSELE protein, humanSELL protein, humanBlood metabolitesImmune cell traitsMediation analysisMendelian randomizationSepsis

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.