Evidence map›Paper›PMID 36670186›Full record

ArticleCommunications medicine2023

Biomedical consequences of elevated cholesterol-containing lipoproteins and apolipoproteins on cardiovascular and non-cardiovascular outcomes.

Amand F Schmidt, Roshni Joshi, Maria Gordillo-Marañón, Fotios Drenos, Pimphen Charoen, Claudia Giambartolomei, Joshua C Bis, Tom R Gaunt, Alun D Hughes, Deborah A Lawlor and 8 more

Open access · goldAbstract read
In one paragraph

Article in Communications medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
7.0field-weighted citation impact, top 2% of its field
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

17 citing papers in PubMed, 22 citations in OpenAlex.

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  6. A sex-specific genome-wide association study of blood lipid levels in All of Us.medRxiv : the preprint server for health sciences · 2025
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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

18 authors at 10 institutions in 5 countries.

Amand F SchmidtInstitute of Cardiovascular Science, Faculty of Population Health, University College London, London, UK. amand.schmidt@ucl.ac.uk.ORCID http://orcid.org/0000-0003-1327-0424
Roshni JoshiInstitute of Cardiovascular Science, Faculty of Population Health, University College London, London, UK.
Maria Gordillo-MarañónInstitute of Cardiovascular Science, Faculty of Population Health, University College London, London, UK.
Fotios DrenosInstitute of Cardiovascular Science, Faculty of Population Health, University College London, London, UK.
Pimphen CharoenInstitute of Cardiovascular Science, Faculty of Population Health, University College London, London, UK.
Claudia GiambartolomeiIstituto Italiano di Tecnologia, Non-coding RNAs and RNA-based Therapeutics, Via Morego, 30, 16163, Genova, Italy.ORCID http://orcid.org/0000-0003-2786-1225
Joshua C BisCardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA.ORCID http://orcid.org/0000-0002-3409-1110
Tom R GauntMRC Integrative Epidemiology Unit, Bristol Medical School, University of Bristol, Bristol, BS8 2BN, UK.
Alun D HughesInstitute of Cardiovascular Science, Faculty of Population Health, University College London, London, UK.ORCID http://orcid.org/0000-0001-5432-5271
Deborah A LawlorMRC Integrative Epidemiology Unit, Bristol Medical School, University of Bristol, Bristol, BS8 2BN, UK.
Andrew WongMRC Unit for Lifelong Health and Ageing, University College London, London, UK.
Jackie F PriceUsher Institute, University of Edinburgh, Edinburgh, UK.
Nishi ChaturvediInstitute of Cardiovascular Science, Faculty of Population Health, University College London, London, UK.
Goya WannametheePrimary Care and Population Health, University College London, London, UK.
Nora FranceschiniDepartment of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC, USA.
Mika KivimakiDepartment of Mental Health of Older People, Division of Brain Sciences, University College London, London, UK.ORCID http://orcid.org/0000-0002-4699-5627
Aroon D HingoraniInstitute of Cardiovascular Science, Faculty of Population Health, University College London, London, UK.ORCID http://orcid.org/0000-0001-8365-0081
Chris FinanInstitute of Cardiovascular Science, Faculty of Population Health, University College London, London, UK.ORCID http://orcid.org/0000-0002-3319-1937
UCL Biomedical Research Centre · GBUniversity College London · GBMRC Unit for Lifelong Health and Ageing · GBNational Health Service · GBUtrecht University · NLItalian Institute of Technology · ITMahidol University · THUniversity of Edinburgh · GBUniversity of North Carolina at Chapel Hill · USUniversity of Washington · US

Funding

British Heart Foundation CH/F/20/90003British Heart Foundation CS/13/1/30327British Heart Foundation PG/18/50/33837British Heart Foundation RG/13/16/30528British Heart Foundation RG/19/4/34452Medical Research Council MC_PC_17228Medical Research Council MC_UU_00011/4Medical Research Council MC_UU_00011/6Medical Research Council MC_UU_12019/1Medical Research Council MR/R024227/1Medical Research Council MR/S011676/1Medical Research Council MR/V033867/1
6 · The paper itself

Abstract

backgroundHigher concentrations of cholesterol-containing low-density lipoprotein (LDL-C) increase the risk of cardiovascular disease (CVD). The association of LDL-C with non-CVD traits remains unclear, as are the possible independent contributions of other cholesterol-containing lipoproteins and apolipoproteins.

methodsNuclear magnetic resonance spectroscopy was used to measure the cholesterol content of high density (HDL-C), very low-density (VLDL-C), intermediate-density (IDL-C), as well as low-density lipoprotein fractions, the apolipoproteins Apo-A1 and Apo-B, as well as total triglycerides (TG), remnant-cholesterol (Rem-Chol) and total cholesterol (TC). The causal effects of these exposures were assessed against 33 outcomes using univariable and multivariable Mendelian randomization (MR).

resultsThe majority of cholesterol containing lipoproteins and apolipoproteins affect coronary heart disease (CHD), carotid intima-media thickness, carotid plaque, C-reactive protein (CRP) and blood pressure. Multivariable MR indicated that many of these effects act independently of HDL-C, LDL-C and TG, the most frequently measured lipid fractions. Higher concentrations of TG, VLDL-C, Rem-Chol and Apo-B increased heart failure (HF) risk; often independently of LDL-C, HDL-C or TG. Finally, a subset of these exposures associated with non-CVD traits such as Alzheimer's disease (AD: HDL-C, LDL-C, IDL-C, Apo-B), type 2 diabetes (T2DM: VLDL-C, IDL-C, LDL-C), and inflammatory bowel disease (IBD: LDL-C, IDL-C).

conclusionsThe cholesterol content of a wide range of lipoprotein and apolipoproteins associate with measures of atherosclerosis, blood pressure, CRP, and CHD, with a subset affecting HF, T2DM, AD and IBD risk. Many of the observed effects appear to act independently of LDL-C, HDL-C, and TG, supporting the targeting of lipid fractions beyond LDL-C for disease prevention.

Identifiers

PMID36670186
PMCPMC9859819
OpenAlexW4317569310

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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.