Evidence map›Paper›PMID 41686607›Full record

ArticleMedicine2026

Causal relationships between antibody-induced immune responses and sepsis: Evidence from genetic studies.

Liqun Li, Lijian Liu, Jing Yan, Jinjing Tan, Sheng Xie

Abstract read
In one paragraph

Article in Medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

5 authors.

Liqun LiThe First Affiliated Hospital of Guangxi University of Chinese Medicine, Nanning, Guangxi, China.
Lijian LiuThe First Affiliated Hospital of Guangxi University of Chinese Medicine, Nanning, Guangxi, China.
Jing YanGraduate School of Guangxi University of Chinese Medicine, Nanning, Guangxi, China.
Jinjing TanThe First Affiliated Hospital of Guangxi University of Chinese Medicine, Nanning, Guangxi, China.
Sheng XieThe First Affiliated Hospital of Guangxi University of Chinese Medicine, Nanning, Guangxi, China.ORCID 0000-0003-4276-3068

Funding

Guangxi Science and Technology Department Project GZKJ2307National Administration of Traditional Chinese Medicine Qihuang Scholars Cultivation Program No. GZYJRF [2025] No. 182
6 · The paper itself

Abstract

The causal relationships between antibody-induced immune responses and the occurrence and mortality of sepsis remain controversial. The 2-sample Mendelian randomization (MR) approach was utilized to reveal the causal associations, along with the potential mediation effects of inflammatory cytokines. The causal associations were analyzed by a 2-sample bidirectional MR analysis, primarily using the inverse variance weighted method. MR-Egger regression, weighted mode, weighted median, and simple mode were conducted as supplementary analyses. Additionally, we performed a 2-step MR to investigate the potential mediation effects of 91 inflammatory cytokines. Cochran Q test was conducted to assess statistical heterogeneity. Potential horizontal pleiotropy was identified with MR-Egger regression intercept test and MR-pleiotropy residual sum and outlier global test. Leave-one-out sensitivity analysis was employed to evaluate the influence of an individual single nucleotide polymorphism on the estimates. The outcomes revealed positive associations between genetically predicted Helicobacter pylori urea antibody levels (odds ratios [ORs] = 1.070, 95% confidence interval [CI]: 1.009-1.134, P = .024), anti-herpes simplex virus type 1 immunoglobulin G seropositivity [OR = 1.071, 95% CI: 1.012-1.134, P = .018], and the risk of sepsis; cytomegalovirus phosphoprotein 52 antibody levels showed significant negative correlation with 28-day mortality in sepsis [OR = 0.830, 95% CI: 0.690-0.999, P = .048]. Surprisingly, the mediation analysis suggested that the 91 inflammatory cytokines did not mediate these associations. H pylori urea antibody and anti-herpes simplex virus type 1 immunoglobulin G seropositivity are pathogenic factors for sepsis, while cytomegalovirus phosphoprotein 52 antibody levels may protect against 28-day mortality in sepsis. Inflammatory cytokines may not mediate these relationships. These findings could contribute to the precise management of sepsis.

Indexed as

SepsisCytokinesHelicobacter pyloriHumansImmunoglobulin GMendelian Randomization AnalysisPolymorphism, Single NucleotideCytokinesImmunoglobulin G2-sample bidirectional Mendelian randomizationantibody-mediated immune responsesinflammatory cytokinesmediatorssepsis

Identifiers

PMID41686607
PMCPMC12908796

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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 OpenQuestion graph.