Evidence map›Paper›PMID 38555549›Full record

ArticleEuropean journal of epidemiology2024

Metabolic profiling of smoking, associations with type 2 diabetes and interaction with genetic susceptibility.

Yuxia Wei, Sara Hägg, Jonathan K L Mak, Tiinamaija Tuomi, Yiqiang Zhan, Sofia Carlsson

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Article in European journal of epidemiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–field-weighted citation impact
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

13 citing papers in PubMed.

  1. Associations between Metabolomic Signatures of Persistent Smoking Effects and Lung Cancer Risk among Former Smokers.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2026
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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

6 authors.

Yuxia WeiInstitute of Environmental Medicine, Karolinska Institutet, Nobels väg 13, Stockholm, 17177, Sweden. yuxia.wei@ki.se.ORCID http://orcid.org/0000-0002-3390-0844
Sara HäggDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
Jonathan K L MakDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
Tiinamaija TuomiDepartment of Clinical Sciences in Malmö, Clinical Research Centre, Lund University, Malmö, Sweden.
Yiqiang ZhanInstitute of Environmental Medicine, Karolinska Institutet, Nobels väg 13, Stockholm, 17177, Sweden.
Sofia CarlssonInstitute of Environmental Medicine, Karolinska Institutet, Nobels väg 13, Stockholm, 17177, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSmokers are at increased risk of type 2 diabetes (T2D), but the underlying mechanisms are unclear. We investigated if the smoking-T2D association is mediated by alterations in the metabolome and assessed potential interaction with genetic susceptibility to diabetes or insulin resistance.

methodsIn UK Biobank (n = 93,722), cross-sectional analyses identified 208 metabolites associated with smoking, of which 131 were confirmed in Mendelian Randomization analyses, including glycoprotein acetyls, fatty acids, and lipids. Elastic net regression was applied to create a smoking-related metabolic signature. We estimated hazard ratios (HR) of incident T2D in relation to baseline smoking/metabolic signature and calculated the proportion of the smoking-T2D association mediated by the signature. Additive interaction between the signature and genetic risk scores for T2D (GRS-T2D) and insulin resistance (GRS-IR) on incidence of T2D was assessed as relative excess risk due to interaction (RERI).

findingsThe HR of T2D was 1·73 (95% confidence interval (CI) 1·54 - 1·94) for current versus never smoking, and 38·3% of the excess risk was mediated by the metabolic signature. The metabolic signature and its mediation role were replicated in TwinGene. The metabolic signature was associated with T2D (HR: 1·61, CI 1·46 - 1·77 for values above vs. below median), with evidence of interaction with GRS-T2D (RERI: 0·81, CI: 0·23 - 1·38) and GRS-IR (RERI 0·47, CI: 0·02 - 0·92).

interpretationThe increased risk of T2D in smokers may be mediated through effects on the metabolome, and the influence of such metabolic alterations on diabetes risk may be amplified in individuals with genetic susceptibility to T2D or insulin resistance.

Indexed as

Diabetes Mellitus, Type 2Genetic Predisposition to DiseaseInsulin ResistanceSmokingAdultAgedCross-Sectional StudiesFemaleHumansMaleMendelian Randomization AnalysisMetabolomeMetabolomicsMiddle AgedRisk FactorsUnited KingdomGenetic risk scoreMetabolomicsSmokingType 2 diabetes

Identifiers

PMID38555549
PMCPMC11249521

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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.