Evidence map›Paper›PMID 42175501›Full record

ArticleMedicine2026

Revealing drug targets for sepsis: An association study integrating Mendelian randomization, eQTL, pQTL, and protein-protein interaction networks.

Enkui Lu, Yanan Zhang, Xuebo Shao, Junnan Chen, Mengping Jiang, Weidong Tang

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.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Enkui LuThe First People's Hospital of Fuyang, Hangzhou, Zhejiang, China.ORCID 0009-0009-2700-3627
Yanan Zhang
Xuebo Shao
Junnan Chen
Mengping Jiang
Weidong Tang

Funding

the Research Project of Zhejiang Chinese Medical University 2022FSYYZY37
6 · The paper itself

Abstract

This study aims to reveal drug targets for sepsis: an association study integrating Mendelian randomization (MR), expression quantitative trait loci, protein quantitative trait loci, and protein-protein interaction networks. We identified 43 druggable proteins associated with sepsis, with B3GALT6 emerging as a key player (P = 5.24E-06). Sensitivity analyses indicated no significant heterogeneity among the proteins tested, reinforcing the robustness of our findings. Bioinformatics analyses demonstrated that B3GALT6 expression was significantly lower in sepsis patients compared to healthy controls across multiple datasets (P < .001), suggesting its potential utility as a diagnostic biomarker. Additionally, Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses revealed critical pathways altered in sepsis, including multivesicular body assembly and ubiquitin-dependent protein catabolic processes. Our results highlight B3GALT6 as a promising therapeutic target and prognostic marker for sepsis, with implications for future research aimed at developing innovative treatment strategies. Overall, this study provides a foundation for further exploration of druggable proteins in sepsis, emphasizing the need for additional investigations to validate these findings in clinical settings and facilitate the translation of these insights into effective therapeutic interventions.

Indexed as

GalactosyltransferasesMendelian Randomization AnalysisProtein Interaction MapsQuantitative Trait LociSepsisBiomarkersComputational BiologyHumansBiomarkersGalactosyltransferasesB3GALT6bioinformaticsMendelian randomizationplasma proteinsepsis

Identifiers

PMID42175501
PMCPMC13201033

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Registered trials

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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.