Lipid traits and type 2 diabetes risk in African ancestry individuals: A Mendelian Randomization study.


Journal

EBioMedicine
ISSN: 2352-3964
Titre abrégé: EBioMedicine
Pays: Netherlands
ID NLM: 101647039

Informations de publication

Date de publication:
Apr 2022
Historique:
received: 05 01 2022
revised: 08 03 2022
accepted: 08 03 2022
pubmed: 25 3 2022
medline: 27 4 2022
entrez: 24 3 2022
Statut: ppublish

Résumé

Dyslipidaemia is highly prevalent in individuals with type 2 diabetes mellitus (T2DM). Numerous studies have sought to disentangle the causal relationship between dyslipidaemia and T2DM liability. However, conventional observational studies are vulnerable to confounding. Mendelian Randomization (MR) studies (which address this bias) on lipids and T2DM liability have focused on European ancestry individuals, with none to date having been performed in individuals of African ancestry. We therefore sought to use MR to investigate the causal effect of various lipid traits on T2DM liability in African ancestry individuals. Using univariable and multivariable two-sample MR, we leveraged summary-level data for lipid traits and T2DM liability from the African Partnership for Chronic Disease Research (APCDR) (N = 13,612, 36.9% men) and from African ancestry individuals in the Million Veteran Program (N Increased genetically proxied low-density lipoprotein cholesterol (LDL-C) and total cholesterol (TC) levels were associated with increased T2DM liability in African ancestry individuals (odds ratio (OR) [95% confidence interval, P-value] per standard deviation (SD) increase in LDL-C = 1.052 [1.000 to 1.106, P = 0.046] and per SD increase in TC = 1.089 [1.014 to 1.170, P = 0.019]). Conversely, increased genetically proxied high-density lipoprotein cholesterol (HDL-C) was associated with reduced T2DM liability (OR per SD increase in HDL-C = 0.915 [0.843 to 0.993, P = 0.033]). The OR on T2DM per SD increase in genetically proxied triglyceride (TG) levels was 0.884 [0.773 to 1.011, P = 0.072] . With respect to lipid-lowering drug targets, we found that genetically proxied 3-hydroxy-3-methylglutaryl-CoA reductase (HMGCR) inhibition was associated with increased T2DM liability (OR per SD decrease in genetically proxied LDL-C = 1.68 [1.03-2.72, P = 0.04]) but we did not find evidence of a relationship between genetically proxied proprotein convertase subtilisin/kexin type 9 (PCSK9) inhibition and T2DM liability. Consistent with MR findings in Europeans, HDL-C exerts a protective effect on T2DM liability and HMGCR inhibition increases T2DM liability in African ancestry individuals. However, in contrast to European ancestry individuals, LDL-C may increase T2DM liability in African ancestry individuals. This raises the possibility of ethnic differences in the metabolic effects of dyslipidaemia in T2DM. See the Acknowledgements section for more information.

Sections du résumé

BACKGROUND BACKGROUND
Dyslipidaemia is highly prevalent in individuals with type 2 diabetes mellitus (T2DM). Numerous studies have sought to disentangle the causal relationship between dyslipidaemia and T2DM liability. However, conventional observational studies are vulnerable to confounding. Mendelian Randomization (MR) studies (which address this bias) on lipids and T2DM liability have focused on European ancestry individuals, with none to date having been performed in individuals of African ancestry. We therefore sought to use MR to investigate the causal effect of various lipid traits on T2DM liability in African ancestry individuals.
METHODS METHODS
Using univariable and multivariable two-sample MR, we leveraged summary-level data for lipid traits and T2DM liability from the African Partnership for Chronic Disease Research (APCDR) (N = 13,612, 36.9% men) and from African ancestry individuals in the Million Veteran Program (N
FINDINGS RESULTS
Increased genetically proxied low-density lipoprotein cholesterol (LDL-C) and total cholesterol (TC) levels were associated with increased T2DM liability in African ancestry individuals (odds ratio (OR) [95% confidence interval, P-value] per standard deviation (SD) increase in LDL-C = 1.052 [1.000 to 1.106, P = 0.046] and per SD increase in TC = 1.089 [1.014 to 1.170, P = 0.019]). Conversely, increased genetically proxied high-density lipoprotein cholesterol (HDL-C) was associated with reduced T2DM liability (OR per SD increase in HDL-C = 0.915 [0.843 to 0.993, P = 0.033]). The OR on T2DM per SD increase in genetically proxied triglyceride (TG) levels was 0.884 [0.773 to 1.011, P = 0.072] . With respect to lipid-lowering drug targets, we found that genetically proxied 3-hydroxy-3-methylglutaryl-CoA reductase (HMGCR) inhibition was associated with increased T2DM liability (OR per SD decrease in genetically proxied LDL-C = 1.68 [1.03-2.72, P = 0.04]) but we did not find evidence of a relationship between genetically proxied proprotein convertase subtilisin/kexin type 9 (PCSK9) inhibition and T2DM liability.
INTERPRETATION CONCLUSIONS
Consistent with MR findings in Europeans, HDL-C exerts a protective effect on T2DM liability and HMGCR inhibition increases T2DM liability in African ancestry individuals. However, in contrast to European ancestry individuals, LDL-C may increase T2DM liability in African ancestry individuals. This raises the possibility of ethnic differences in the metabolic effects of dyslipidaemia in T2DM.
FUNDING BACKGROUND
See the Acknowledgements section for more information.

Identifiants

pubmed: 35325778
pii: S2352-3964(22)00137-2
doi: 10.1016/j.ebiom.2022.103953
pmc: PMC8941323
pii:
doi:

Substances chimiques

Cholesterol, HDL 0
Cholesterol, LDL 0
PCSK9 protein, human EC 3.4.21.-
Proprotein Convertase 9 EC 3.4.21.-

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

103953

Subventions

Organisme : Wellcome Trust
Pays : United Kingdom
Organisme : FIC NIH HHS
ID : D43 TW011401
Pays : United States
Organisme : VA
ID : PEC 16-001
Pays : United States

Informations de copyright

Copyright © 2022 The Author(s). Published by Elsevier B.V. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of interests DG is employed part-time by Novo Nordisk and has received consultancy fees from Policy Wisdom. No potential conflicts of interest relevant to this article were reported by all other authors.

Auteurs

Opeyemi Soremekun (O)

The African Computational Genomics (TACG) Research group, MRC/UVRI and LSHTM, Entebbe, Uganda.

Ville Karhunen (V)

Center for Life Course Health Research, Faculty of Medicine, University of Oulu, Oulu, Finland; Research Unit of Mathematical Sciences, University of Oulu, Oulu, Finland.

Yiyan He (Y)

Center for Life Course Health Research, Faculty of Medicine, University of Oulu, Oulu, Finland.

Skanda Rajasundaram (S)

Kellogg College, University of Oxford, Oxford, UK; Faculty of Medicine, Imperial College London, London, UK.

Bowen Liu (B)

MRC Biostatistics Unit, School of Clinical Medicine, University of Cambridge, UK.

Apostolos Gkatzionis (A)

MRC Integrative Epidemiology Unit, University of Bristol, UK; Population Health Sciences, Bristol Medical School, University of Bristol, UK.

Chisom Soremekun (C)

The African Computational Genomics (TACG) Research group, MRC/UVRI and LSHTM, Entebbe, Uganda.

Brenda Udosen (B)

The African Computational Genomics (TACG) Research group, MRC/UVRI and LSHTM, Entebbe, Uganda.

Hanan Musa (H)

The African Computational Genomics (TACG) Research group, MRC/UVRI and LSHTM, Entebbe, Uganda.

Sarah Silva (S)

The African Computational Genomics (TACG) Research group, MRC/UVRI and LSHTM, Entebbe, Uganda; Department of Non-communicable Disease Epidemiology (NCDE), London School of Hygiene and Tropical Medicine, London, UK.

Christopher Kintu (C)

The African Computational Genomics (TACG) Research group, MRC/UVRI and LSHTM, Entebbe, Uganda.

Richard Mayanja (R)

The African Computational Genomics (TACG) Research group, MRC/UVRI and LSHTM, Entebbe, Uganda.

Mariam Nakabuye (M)

The African Computational Genomics (TACG) Research group, MRC/UVRI and LSHTM, Entebbe, Uganda.

Tafadzwa Machipisa (T)

Department of Medicine, University of Cape Town & Groote Schuur Hospital, Cape Town, South Africa; Department of Medicine, Hatter Institute for Cardiovascular Diseases Research in Africa (HICRA) & Cape Heart Institute (CHI), University of Cape Town, South Africa; Population Health Research Institute, David Braley Cardiac, Vascular and Stroke Research Institute, 237 Barton Street East, Hamilton, ON L8L 2X2, Canada.

Amy Mason (A)

MRC Biostatistics Unit, School of Clinical Medicine, University of Cambridge, UK.

Marijana Vujkovic (M)

Corporal Michael J. Crescenz VA Medical Center, Philadelphia, PA, USA; Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Department of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.

Verena Zuber (V)

Department of Epidemiology and Biostatistics, Medical School Building, St Mary's Hospital, Imperial College London, London, UK.

Mahmoud Soliman (M)

Discipline of Pharmaceutical Chemistry, College of Health Sciences, University of KwaZulu-Natal, Durban, South Africa.

Joseph Mugisha (J)

MRC/UVRI and LSHTM, Entebbe, Uganda.

Oyekanmi Nash (O)

H3Africa Bioinformatics Network (H3ABioNet) Node, Centre for Genomics Research and Innovation, NABDA/FMST, Abuja, Nigeria.

Pontiano Kaleebu (P)

MRC/UVRI and LSHTM, Entebbe, Uganda.

Moffat Nyirenda (M)

MRC/UVRI and LSHTM, Entebbe, Uganda.

Tinashe Chikowore (T)

Department of Pediatrics, MRC/Wits Developmental Pathways for Health Research Unit, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa; Faculty of Health Sciences, Sydney Brenner Institute for Molecular Bioscience, University of the Witwatersrand, Johannesburg, South Africa.

Dorothea Nitsch (D)

Department of Non-communicable Disease Epidemiology (NCDE), London School of Hygiene and Tropical Medicine, London, UK.

Stephen Burgess (S)

MRC Biostatistics Unit, School of Clinical Medicine, University of Cambridge, UK; Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK.

Dipender Gill (D)

Department of Epidemiology and Biostatistics, Medical School Building, St Mary's Hospital, Imperial College London, London, UK; Novo Nordisk Research Centre Oxford, Old Road Campus, Oxford, UK.

Segun Fatumo (S)

The African Computational Genomics (TACG) Research group, MRC/UVRI and LSHTM, Entebbe, Uganda; MRC/UVRI and LSHTM, Entebbe, Uganda; Department of Non-communicable Disease Epidemiology (NCDE), London School of Hygiene and Tropical Medicine, London, UK. Electronic address: segun.fatumo@lshtm.ac.uk.

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