Skip to content
PaperFren

Cardiovascular

Do remnant cholesterol and triglycerides cause cardiometabolic multimorbidity?

Zhao Y, Zhuang Z, Li Y, et al. · Nature communications · 2024

Open access · cc by · source: Europe PMC

In >300,000 UK Biobank participants, higher remnant cholesterol and triglycerides tracked—and MR supported a causal role in—progression to cardiometabolic multimorbidity, especially IHD plus type 2 diabetes.

How this study connects

Role on claims

Each row is a claim on a concept or method page where this paper supports, challenges, or qualifies the statement. Roles are hand-checked — not a model guess.

  • Mendelian randomisation raises this above the observational association it accompanies.

    Genetic instruments support a causal role for triglyceride-rich lipoproteins in cardiometabolic multimorbidity. Remnant cholesterol at or above 1.0 against below 0.4 mmol/L carried HR 2.46 for type 2 diabetes and 1.63 for ischaemic heart disease; causal odds per 1.0 mmol/L triglycerides were 1.21 for any multimorbidity, with associations for ischaemic heart disease and diabetes but not stroke.

    Evidence for the claim as stated.

  • The randomised trial and the genetic study support different claims about the same molecules. The trial randomises a real dietary exposure but measures markers over four weeks in healthy volunteers; the Mendelian randomisation estimates lifelong effects on hard endpoints but from a single baseline lipid measurement in a healthier-than-average cohort, with instrument pleiotropy unresolved.

    Evidence for the claim as stated.

Open questions

Tensions this paper is part of

From concept pages' “where studies disagree.” Disagreement means the same question; scope means different assays, populations, or outcomes.

  • Scope difference — different assays, populations, or outcomes

    The randomised trial and the genetic study support different claims about the same molecules. The trial randomises a real dietary exposure but measures markers over four weeks in healthy volunteers; the Mendelian randomisation estimates lifelong effects on hard endpoints but from a single baseline lipid measurement in a healthier-than-average cohort, with instrument pleiotropy unresolved.

    Also on this tension

Study at a glance

Design
Mendelian randomisation — UK Biobank multistate cohort plus one-sample Mendelian randomisation using 13 triglyceride-rich-lipoprotein SNPs.
N
N=334030 · Observational: 334,030 (remnant cholesterol) and 365,577 (triglycerides); MR: 376,712 and 411,930.
Population
UK Biobank adults free of diabetes, ischemic heart disease, and stroke at baseline (lipid-lowering users excluded from observational analyses).
Outcome
Progression from first cardiometabolic disease to multimorbidity (especially IHD plus type 2 diabetes), plus causal ORs from MR.

Structured fields used in claim comparison tables when every cited study has a complete layer.

Inspect source passages

Do remnant cholesterol and triglycerides cause cardiometabolic multimorbidity?

These passages occur verbatim in the stored paper text. They support the points listed below; they do not verify every statement in the explanation.

Observational n was 334,030 (remnant cholesterol) and 365,577 (triglycerides).

334,030 (men% = 42.5%) and 365,577 (men% = 42.1%) eligible participants were included in the observational analysis of remnant cholesterol and triglycerides

Remnant cholesterol ≥1.0 mmol/L had T2D HR 2.46 and IHD HR 1.63 vs <0.4 mmol/L.

Participants with serum remnant cholesterol of ≥1.0 mmol/L had 146% (HR: 2.46; 95% CI: 2.23, 2.71; P for trend <0.001) and 63% (HR: 1.63; 95% CI: 1.52, 1.74; P for trend <0.001) higher risks of type 2 diabetes and ischemic heart disease
Read passages in the original paper

Key findings

Remnant cholesterol ≥1.0 vs <0.4 mmol/L: T2D HR 2.46 and IHD HR 1.63. Triglycerides ≥2.3 mmol/L: T2D HR 3.54. Causal TG ORs per 1.0 mmol/L were 1.21 (any multimorbidity) and 1.24 (IHD–T2D); remnant cholesterol ORs per 0.29 mmol/L were 1.23 and 1.26. Associations were for IHD and diabetes, not stroke.

Methodology

Used multistate models from first cardiometabolic disease (diabetes, IHD, or stroke) to multimorbidity, then one-sample MR with 13 biologically relevant SNPs in hundreds of thousands of UK Biobank participants.

Limitations

Single baseline lipids, possible instrument pleiotropy, and a healthier-than-average UK Biobank sample still limit how far causal estimates travel.

Related papers in this topic

Same topic cluster — not a recommendation engine.