Cargando…

Causal Impact of Type 2 Diabetes Mellitus on Cerebral Small Vessel Disease: A Mendelian Randomization Analysis

BACKGROUND AND PURPOSE—: The relationship between type 2 diabetes mellitus (T2D) and cerebral small vessel disease (CSVD) is unclear. We aimed to examine the causal effect of T2D, fasting glucose levels, and higher insulin resistance on CSVD using Mendelian randomization. METHODS—: Five CSVD phenoty...

Descripción completa

Detalles Bibliográficos
Autores principales: Liu, Junfeng, Rutten-Jacobs, Loes, Liu, Ming, Markus, Hugh S., Traylor, Matthew
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5976219/
https://www.ncbi.nlm.nih.gov/pubmed/29686024
http://dx.doi.org/10.1161/STROKEAHA.117.020536
_version_ 1783327138932326400
author Liu, Junfeng
Rutten-Jacobs, Loes
Liu, Ming
Markus, Hugh S.
Traylor, Matthew
author_facet Liu, Junfeng
Rutten-Jacobs, Loes
Liu, Ming
Markus, Hugh S.
Traylor, Matthew
author_sort Liu, Junfeng
collection PubMed
description BACKGROUND AND PURPOSE—: The relationship between type 2 diabetes mellitus (T2D) and cerebral small vessel disease (CSVD) is unclear. We aimed to examine the causal effect of T2D, fasting glucose levels, and higher insulin resistance on CSVD using Mendelian randomization. METHODS—: Five CSVD phenotypes were studied; 2 were clinical outcomes associated with CSVD (lacunar stroke: n=2191/27 297 and intracerebral hemorrhage [ICH]: n=2254/8195 [deep and lobar ICH]), whereas 3 were radiological markers of CSVD (white matter hyperintensities: n=8429; fractional anisotropy [FA]: n=8357; and mean diffusivity: n=8357). We applied 2 complementary analyses to evaluate the association of T2D with CSVD. First, we used summarized data from genome-wide association study to calculate the effects of T2D-related variants on CSVD with inverse-variance weighted and weighted median approaches. Second, we performed a genetic risk score approach to test the effects of T2D-associated variants on white matter hyperintensities, FA, and mean diffusivity using individual-level data in UK Biobank. RESULTS—: T2D was associated with higher risk of lacunar stroke (odds ratio [OR], 1.15; 95% confidence interval [CI], 1.04–1.28; P=0.007) and lower mean FA (OR, 0.78; 95% CI, 0.66–0.92; P=0.004) but not white matter hyperintensities volume (OR, 1.01; 95% CI, 0.97–1.04; P=0.626), higher mean diffusivity (OR, 1.04; 95% CI, 0.89–1.23; P=0.612), ICH (OR, 1.07; 95% CI, 0.95–1.20; P=0.269), lobar ICH (OR, 1.07; 95% CI, 0.89–1.28; P=0.466), or deep ICH (OR, 1.16; 95% CI, 0.99–1.36; P=0.074). Weighted median and penalized median weighted analysis showed similar effect estimates of T2D on lacunar stroke and FA, but with wider CIs, meaning they were not significant. The genetic score on individual-level data was significantly associated with FA (OR, 0.63; 95% CI, 0.45–0.89; P=0.008) after adjusting for potential confounders. CONCLUSIONS—: Our Mendelian randomization study provides evidence to suggest that T2D may be causally associated with CSVD, in particular with lacunar stroke and FA.
format Online
Article
Text
id pubmed-5976219
institution National Center for Biotechnology Information
language English
publishDate 2018
publisher Lippincott Williams & Wilkins
record_format MEDLINE/PubMed
spelling pubmed-59762192018-06-15 Causal Impact of Type 2 Diabetes Mellitus on Cerebral Small Vessel Disease: A Mendelian Randomization Analysis Liu, Junfeng Rutten-Jacobs, Loes Liu, Ming Markus, Hugh S. Traylor, Matthew Stroke Original Contributions BACKGROUND AND PURPOSE—: The relationship between type 2 diabetes mellitus (T2D) and cerebral small vessel disease (CSVD) is unclear. We aimed to examine the causal effect of T2D, fasting glucose levels, and higher insulin resistance on CSVD using Mendelian randomization. METHODS—: Five CSVD phenotypes were studied; 2 were clinical outcomes associated with CSVD (lacunar stroke: n=2191/27 297 and intracerebral hemorrhage [ICH]: n=2254/8195 [deep and lobar ICH]), whereas 3 were radiological markers of CSVD (white matter hyperintensities: n=8429; fractional anisotropy [FA]: n=8357; and mean diffusivity: n=8357). We applied 2 complementary analyses to evaluate the association of T2D with CSVD. First, we used summarized data from genome-wide association study to calculate the effects of T2D-related variants on CSVD with inverse-variance weighted and weighted median approaches. Second, we performed a genetic risk score approach to test the effects of T2D-associated variants on white matter hyperintensities, FA, and mean diffusivity using individual-level data in UK Biobank. RESULTS—: T2D was associated with higher risk of lacunar stroke (odds ratio [OR], 1.15; 95% confidence interval [CI], 1.04–1.28; P=0.007) and lower mean FA (OR, 0.78; 95% CI, 0.66–0.92; P=0.004) but not white matter hyperintensities volume (OR, 1.01; 95% CI, 0.97–1.04; P=0.626), higher mean diffusivity (OR, 1.04; 95% CI, 0.89–1.23; P=0.612), ICH (OR, 1.07; 95% CI, 0.95–1.20; P=0.269), lobar ICH (OR, 1.07; 95% CI, 0.89–1.28; P=0.466), or deep ICH (OR, 1.16; 95% CI, 0.99–1.36; P=0.074). Weighted median and penalized median weighted analysis showed similar effect estimates of T2D on lacunar stroke and FA, but with wider CIs, meaning they were not significant. The genetic score on individual-level data was significantly associated with FA (OR, 0.63; 95% CI, 0.45–0.89; P=0.008) after adjusting for potential confounders. CONCLUSIONS—: Our Mendelian randomization study provides evidence to suggest that T2D may be causally associated with CSVD, in particular with lacunar stroke and FA. Lippincott Williams & Wilkins 2018-06 2018-04-23 /pmc/articles/PMC5976219/ /pubmed/29686024 http://dx.doi.org/10.1161/STROKEAHA.117.020536 Text en © 2018 The Authors. Stroke is published on behalf of the American Heart Association, Inc., by Wolters Kluwer Health, Inc. This is an open access article under the terms of the Creative Commons Attribution (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution, and reproduction in any medium, provided that the original work is properly cited.
spellingShingle Original Contributions
Liu, Junfeng
Rutten-Jacobs, Loes
Liu, Ming
Markus, Hugh S.
Traylor, Matthew
Causal Impact of Type 2 Diabetes Mellitus on Cerebral Small Vessel Disease: A Mendelian Randomization Analysis
title Causal Impact of Type 2 Diabetes Mellitus on Cerebral Small Vessel Disease: A Mendelian Randomization Analysis
title_full Causal Impact of Type 2 Diabetes Mellitus on Cerebral Small Vessel Disease: A Mendelian Randomization Analysis
title_fullStr Causal Impact of Type 2 Diabetes Mellitus on Cerebral Small Vessel Disease: A Mendelian Randomization Analysis
title_full_unstemmed Causal Impact of Type 2 Diabetes Mellitus on Cerebral Small Vessel Disease: A Mendelian Randomization Analysis
title_short Causal Impact of Type 2 Diabetes Mellitus on Cerebral Small Vessel Disease: A Mendelian Randomization Analysis
title_sort causal impact of type 2 diabetes mellitus on cerebral small vessel disease: a mendelian randomization analysis
topic Original Contributions
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5976219/
https://www.ncbi.nlm.nih.gov/pubmed/29686024
http://dx.doi.org/10.1161/STROKEAHA.117.020536
work_keys_str_mv AT liujunfeng causalimpactoftype2diabetesmellitusoncerebralsmallvesseldiseaseamendelianrandomizationanalysis
AT ruttenjacobsloes causalimpactoftype2diabetesmellitusoncerebralsmallvesseldiseaseamendelianrandomizationanalysis
AT liuming causalimpactoftype2diabetesmellitusoncerebralsmallvesseldiseaseamendelianrandomizationanalysis
AT markushughs causalimpactoftype2diabetesmellitusoncerebralsmallvesseldiseaseamendelianrandomizationanalysis
AT traylormatthew causalimpactoftype2diabetesmellitusoncerebralsmallvesseldiseaseamendelianrandomizationanalysis