Cited by 160Lipoproteins and Cardiovascular HealthAlzheimer's disease research and treatmentsGenetic Associations and Epidemiology

Lipid lowering and Alzheimer disease risk: A mendelian randomization study

Open access
Williams, Dylan M., Finan, Chris, Schmidt, Amand F., Burgess, Stephen, Hingorani, Aroon D.·2020·Annals of Neurology

Abstract

Objective: To examine whether genetic variation affecting the expression or function of lipid‐lowering drug targets is associated with Alzheimer disease (AD) risk, to evaluate the potential impact of long‐term exposure to corresponding therapeutics. Methods: We conducted Mendelian randomization analyses using variants in genes that encode the protein targets of several approved lipid‐lowering drug classes: HMGCR (encoding the target for statins), PCSK9 (encoding the target for PCSK9 inhibitors, eg, evolocumab and alirocumab), NPC1L1 (encoding the target for ezetimibe), and APOB (encoding the target of mipomersen). Variants were weighted by associations with low‐density lipoprotein cholesterol (LDL‐C) using data from lipid genetics consortia (n up to 295,826). We meta‐analyzed Mendelian randomization estimates for regional variants weighted by LDL‐C on AD risk from 2 large samples (total n = 24,718 cases, 56,685 controls). Results: Models for HMGCR, APOB , and NPC1L1 did not suggest that the use of related lipid‐lowering drug classes would affect AD risk. In contrast, genetically instrumented exposure to PCSK9 inhibitors was predicted to increase AD risk in both of the AD samples (combined odds ratio per standard deviation lower LDL‐C inducible by the drug target = 1.45, 95% confidence interval = 1.23–1.69). This risk increase was opposite to, although more modest than, the degree of protection from coronary artery disease predicted by these same methods for PCSK9 inhibition. Interpretation: We did not identify genetic support for the repurposing of statins, ezetimibe, or mipomersen for AD prevention. Notwithstanding caveats to this genetic evidence, pharmacovigilance for AD risk among users of PCSK9 inhibitors may be warranted. ANN NEUROL 2020;87:30–39

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1002/ana.25642

Cites

49 of 49 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Only one of the reviewed studies reported evidence of increased AD risk associated with drug use, specifically for the PCSK9 inhibitors evolocumab and alirocumab.

    “Only one of the reviewed studies reported evidence of increased AD risk associated with drug use, specifically for the PCSK9 inhibitors evolocumab and alirocumab (Williams et al., 2020).”

    From Drug repurposing for Alzheimer’s disease from 2012–2022—a 10-year literature review (2023) · cites this paper as Williams et al., 2020

    The Results report a genetically predicted increase in Alzheimer disease risk for inhibition of PCSK9, and the Methods identify evolocumab and alirocumab as examples of PCSK9 inhibitors (pages not provided). But the Discussion cautions that this genetic prediction may not apply to use of those drugs in practice; the study did not establish increased risk among their users. The claim that this was the only reviewed study is the citing authors’ review framing, not a finding assessed here. (LLM, conf=0.88)

    Experimental — accuracy not yet measured
  • Drug target MR uses genetic variants in genes encoding drug targets to mimic the actions of drugs and estimate therapeutic potential.

    “As an extension of MR, drug target MR has emerged as efficient way to estimate therapeutic potential by using genetic variants in genes encoding drug targets (referred to as cis variants) to mimic the actions of drugs.”
  • Undesirable side effects of PCSK9-targeting therapy have been questioned in terms of cognitive function.

    “Indeed, the occurrence of undesirable side effects has been questioned in terms of cognitive function [196,197] and negative impact on the immune system regulation that could lead to different inflammatory diseases [104].”
  • The drugs with evidence of little to no effect on AD risk included lipid-lowering agents (ezetimibe, mipomersen, and statins), antihypertensives, dimethyl fumarate, and drugs commonly used in treatment of rheumatoid arthritis (tofacitinib, tocilizumab, and TNF inhibitors).

    “These drugs included lipid-lowering agents (ezetimibe, mipomersen, and statins) (Williams et al., 2020), antihypertensives (Walker et al., 2020), dimethyl fumarate (approved for the treatment of multiple sclerosis) (Möhle et al., 2021), and drugs commonly used in treatment of rheumatoid arthritis (tofacitinib, tocilizumab, and TNF inhibitors) (Desai et al., 2022).”

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Research works printed but not linked: 2

  1. [36]McGuinness B, Craig D, Bullock R, Passmore P. Statins for the prevention of dementia. Cochrane Database Syst Rev 2016;(1): CD003160. PMC9346344 26727124
  2. [38]Benn M, Nordestgaard BG, Frikke‐Schmidt R, Tybjærg‐Hansen A. Re: Low LDL cholesterol, PCSK9 and HMGCR genetic variation, and risk of Alzheimer's disease and Parkinson's disease: Mendelian randomisation study. BMJ 2017; 357: j1648. 28438747 PMC5421439

Cited by

Sorted by citations

Authors
Williams, D. M., Finan, C., Schmidt, A. F., Burgess, S., & Hingorani, A. D.
Affiliations
  • University of London (GB)
  • British Heart Foundation (GB)
  • University Medical Center Utrecht (NL)
  • University of Cambridge (GB)
Corresponding author
Williams, Dylan M.
Venue
Annals of Neurology
Publisher
Wiley
Published
2019-12-13
Volume
87
Issue
1
Pages
30-39
ISSN
  • 0364-5134 (ISSN-L)
  • 1531-8249
OpenAlex
W2987364071
Cited by
157
References
49
Citations by year
2026: 7 · 2025: 18 · 2024: 51 · 2023: 40 · 2022: 9 · 2021: 27 · 2020: 4
FWCI
2.06
Type
journal article
Language
en
Open access
Locations
  • Annals of Neurology (publishedVersion, cc-by)
  • Europe PMC (PubMed Central) (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • Utrecht University Repository (Utrecht University) (submittedVersion, other-oa)
  • Apollo (University of Cambridge) (submittedVersion, cc-by)
  • Apollo (cc-by)
Funders
British Heart Foundation (PG/18/5033837)
Topics
  • Health Sciences › Medicine › Surgery › Lipoproteins and Cardiovascular Health
  • Health Sciences › Medicine › Physiology › Alzheimer's disease research and treatments
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
Keywords
Alzheimer's disease risk, lipid-lowering drugs, PCSK9 inhibitors, statins, ezetimibe, mipomersen, HMGCR, NPC1L1, apolipoprotein B, LDL cholesterol, drug repurposing, pharmacovigilance, genetic variants
MeSH terms
Proprotein Convertase 9, Aged, Alzheimer Disease, Female, Humans, Hydroxymethylglutaryl CoA Reductases, Male, Middle Aged, Models, Genetic, Genetic Predisposition to Disease, Polymorphism, Single Nucleotide, Membrane Transport Proteins, Apolipoprotein B-100, Mendelian Randomization Analysis

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review