Skip to content
#protein folding Open access

Circulating proteins as key genetically proxied mediators in the pathway from smoking to intracranial aneurysm disease: A mediation Mendelian randomization analysis

Sep 2026 · Tobacco Induced Diseases · Vol 24 · 0 citations · 36 references
Medicine

TL;DR

Genetically proxied smoking was associated with increased risks of uIAs and aSAH, and smoking-related proteins with the risk of unruptured intracranial aneurysms and aneurysmal subarachnoid hemorrhage were assessed.

Abstract

INTRODUCTION The molecular mechanisms linking smoking to intracranial aneurysmal disease remain elusive. In this study, we aimed to employ Mendelian randomization (MR) analysis to identify proteomic pathways that mediate this relationship.

Methods

We conducted a two-step, two-sample MR study using summary-level GWAS data from the GSCAN (GWAS & Sequencing Consortium of Alcohol and Nicotine Use, release up to 2019) and the FinnGen study (release R12, 2024). In the first step, we estimated the effects of genetically proxied smoking, using the Lifetime Smoking Index (LSI) as the primary exposure, on circulating protein levels. In the second step, we assessed the associations of smoking-related proteins with the risk of unruptured intracranial aneurysms (uIAs) and aneurysmal subarachnoid hemorrhage (aSAH). Proteins that showed significant associations in both steps were considered potential mediators, and we calculated their mediation proportions using the product-of-coefficients method.

Results

Genetically proxied smoking was associated with increased risks of uIAs and aSAH. Each one standard deviation increase in LSI was associated with a 2.99-fold higher risk of uIAs (OR=2.99; 95% CI: 1.77–5.06) and a 2.51-fold higher risk of aSAH (OR=2.51; 95% CI: 1.72–3.66). After multiple-testing correction, LSI was causally associated with 427 circulating proteins; 22 correlated with aSAH and 22 with uIAs, with eight shared. Mediation analysis confirmed six mediators (CD74, HEG1, YAP1, FGF23, SFRP1, PGF) for the LSI-aSAH pathway and four (CD74, YAP1, ANGPT2, RTN4R) for the LSI-uIA pathway. CD74 and YAP1 were shared mediators with the highest mediation ratios.

Conclusions

Eight distinct circulating proteins mediate smoking-induced intracranial aneurysm development and rupture via independent biological cascades. CD74 and YAP1 may serve as priority candidate mediators for future mechanistic and translational investigations aimed at refining risk stratification in smoking-related intracranial aneurysms.

Read PDF

Similar papers

#computer vision Review Open access May 2015

A survey study on major technical barriers affecting the decision to adopt cloud services

The comparison of adopter and non-adopter sample reveals three potential adoption inhibitor, security, data privacy, and portability, which underlines the importance of the technical and security perspectives for research investigating the adoption of technology.

Nattakarn Phaphoom, Xiaofeng Wang, S. Samuel et al. · 111 citations · ⚡8
#computer vision Open access Feb 2018

Lean Internal Startups for Software Product Innovation in Large Companies: Enablers and Inhibitors

This study investigates how Lean internal startup facilitates software product innovation in large companies and identifies its enablers and inhibitors, and shows the potential of the method-in-action framework to investigate the Lean startup approach in non-startup context.

Henry Edison, Nina M. Smørsgård, Xiaofeng Wang et al. · 78 citations · ⚡6
#computer vision Book Open access Jul 2015

Understanding the affect of developers: theoretical background and guidelines for psychoempirical software engineering

This paper highlights the challenges to conduct proper affect-related studies with psychology, provides a comprehensive literature review in affect theory, and proposes guidelines for conducting psychoempirical software engineering.

D. Graziotin, Xiaofeng Wang, P. Abrahamsson · 56 citations · ⚡4
#machine learning Open access May 2017

What Influences the Speed of Prototyping? An Empirical Investigation of Twenty Software Startups

This study conducts a multiple case study on twenty European software startups and proposes a prototype-centric learning model in early stage software startups, and identifies factors that occur as barriers but also facilitators for prototyping in earlystage software startups.

Anh Nguyen-Duc, Xiaofeng Wang, P. Abrahamsson · 44 citations · ⚡5
#protein folding Open access Sep 2026

Programmable design of functional proteins from natural language

Pinal, a 16-billion-parameter foundation model that produces protein candidates from natural-language functional descriptions, supports natural language as a high-level interface for candidate generation in protein design, enabling programmable exploration with reduced reliance on manually specified structural or seque...

Fengyuan Dai, Shiyang You, Yudian Zhu et al. · 31 citations · ⚡3

Related blog posts

Google DeepMind Blog Sep 30, 2026

Introducing SynthID Bio

Proof of concept for watermarking AI-generated proteins while preserving biological function.

MIT News · Artificial Intelligence Aug 27, 2026

Looking beyond natural sequences

A new machine-learning framework aims to improve the success rate of computational protein design while moving away from results that reproduce sequences found in nature.

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.