Evidence map›Paper›PMID 39537602›Full record

ArticleNature communications2024

Effect of genetically predicted sclerostin on cardiovascular biomarkers, risk factors, and disease outcomes.

Marta Alcalde-Herraiz, JunQing Xie, Danielle Newby, Clara Prats, Dipender Gill, María Gordillo-Marañón, Daniel Prieto-Alhambra, Martí Català, Albert Prats-Uribe

Abstract read
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

  1. Trial
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Role of Sclerostin in Cardiovascular System.International journal of molecular sciences · 2025
    Review
  10. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Marta Alcalde-HerraizCentre for Statistics in Medicine and NIHR Biomedical Research Centre Oxford, NDORMS, University of Oxford, Oxford, UK.
JunQing XieCentre for Statistics in Medicine and NIHR Biomedical Research Centre Oxford, NDORMS, University of Oxford, Oxford, UK.ORCID 0000-0002-0040-0042
Danielle NewbyCentre for Statistics in Medicine and NIHR Biomedical Research Centre Oxford, NDORMS, University of Oxford, Oxford, UK.
Clara PratsComputational Biology and Complex Systems (BIOCOM-SC), Department of Physics, Universitat Politècnica de Catalunya, Castelldefels, Spain.ORCID 0000-0002-1398-7559
Dipender GillDepartment of Epidemiology and Biostatistics, School of Public Health, St Mary's Hospital, Imperial College London, London, UK.ORCID 0000-0001-7312-7078
María Gordillo-MarañónInstitute of Cardiovascular Science, Faculty of Population Health, University College London, London, UK.ORCID 0000-0003-2993-6577
Daniel Prieto-AlhambraCentre for Statistics in Medicine and NIHR Biomedical Research Centre Oxford, NDORMS, University of Oxford, Oxford, UK. daniel.prietoalhambra@ndorms.ox.ac.uk.ORCID 0000-0002-3950-6346
Martí Català *Centre for Statistics in Medicine and NIHR Biomedical Research Centre Oxford, NDORMS, University of Oxford, Oxford, UK.
Albert Prats-Uribe *Centre for Statistics in Medicine and NIHR Biomedical Research Centre Oxford, NDORMS, University of Oxford, Oxford, UK.ORCID 0000-0003-1202-9153

Funding

DH | National Institute for Health Research (NIHR) SRF-2018-11-ST2-004
6 · The paper itself

Abstract

Sclerostin inhibitors protect against osteoporotic fractures, but their cardiovascular safety remains unclear. We conducted a cis-Mendelian randomisation analysis to estimate the causal effect of sclerostin levels on cardiovascular risk factors. We meta-analysed three GWAS of sclerostin levels including 49,568 Europeans and selected 2 SNPs to be used as instruments. We included heel bone mineral density and hip fracture risk as positive control outcomes. Public GWAS and UK Biobank patient-level data were used for the study outcomes, which include cardiovascular events, risk factors, and biomarkers. Lower sclerostin levels were associated with higher bone mineral density and 85% reduction in hip fracture risk. However, genetically predicted lower sclerostin levels led to 25-85% excess coronary artery disease risk, 40% to 60% increased risk of type 2 diabetes, and worse cardiovascular biomarkers values, including higher triglycerides, and decreased HDL cholesterol levels. Results also suggest a potential (but borderline) association with increased risk of myocardial infarction. Our study provides genetic evidence of a causal relationship between reduced levels of sclerostin and improved bone health and fracture protection, but increased risk of cardiovascular events and risk factors.

Indexed as

Adaptor Proteins, Signal TransducingBiomarkersBone DensityCardiovascular DiseasesDiabetes Mellitus, Type 2Genome-Wide Association StudyMendelian Randomization AnalysisPolymorphism, Single NucleotideAgedFemaleGenetic MarkersHip FracturesHumansMaleMiddle AgedMyocardial InfarctionAdaptor Proteins, Signal TransducingBiomarkersGenetic MarkersSOST protein, human

Identifiers

PMID39537602
PMCPMC11561231

What OpenQuestion holds

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Registered trials

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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.