Evidence mapPaperPMID 40168425Full record

ArticlePloS one2025

High density lipoprotein particle size and function associate with new cardiovascular events in patients with chronic kidney disease.

Anna V Mathew, Yun Han, Vetalise C Konje, Yanhong Guo, Jaeman Byun, Alexander George, Julian Meza, Sanjay Rajagopalan, Y Eugene Chen, Brenda Gillespie and 2 more

Abstract read
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Article
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

12 authors.

Anna V MathewDepartment of Internal Medicine, University of Michigan Medical School, Ann Arbor, Michigan, United States of America.ORCID https://orcid.org/0000-0002-7043-4221
Yun HanDepartment of Internal Medicine, University of Michigan Medical School, Ann Arbor, Michigan, United States of America.
Vetalise C KonjeDepartment of Internal Medicine, University of Michigan Medical School, Ann Arbor, Michigan, United States of America.
Yanhong GuoDepartment of Internal Medicine, University of Michigan Medical School, Ann Arbor, Michigan, United States of America.
Jaeman ByunDepartment of Internal Medicine, University of Michigan Medical School, Ann Arbor, Michigan, United States of America.
Alexander GeorgeOakland University William Beaumont School of Medicine, Rochester, Michigan, United States of America.
Julian MezaUniversity of Michigan, Ann Arbor, Michigan, United States of America.
Sanjay RajagopalanDepartment of Medicine, Case Western Reserve University, Cleveland, Ohio, United States of America.
Y Eugene ChenDepartment of Internal Medicine, University of Michigan Medical School, Ann Arbor, Michigan, United States of America.
Brenda GillespieSchool of Public Health, University of Michigan, Ann Arbor, Michigan, United States of America.
Rajiv SaranDepartment of Internal Medicine, University of Michigan Medical School, Ann Arbor, Michigan, United States of America.
Subramaniam PennathurDepartment of Internal Medicine, University of Michigan Medical School, Ann Arbor, Michigan, United States of America.ORCID https://orcid.org/0000-0003-3628-6883

Funding

Pilot and Feasibility (P and F) ProgramP30DK089503 · UNIVERSITY OF MICHIGAN AT ANN ARBOR · 2025 to 2025
$1.2M
Development of phospholipid-based nanotherapeutics for treating abdominal aortic aneurysmR01HL165688 · UNIVERSITY OF MICHIGAN AT ANN ARBOR · 2025 to 2025
$764k
Vascular smooth muscle cell ferroptosis and abdominal aortic aneurysmR01HL166203 · UNIVERSITY OF MICHIGAN AT ANN ARBOR · 2025 to 2025
$689k
NCATS NIH HHS UL1 TR002240NHLBI NIH HHS K08 HL130944NHLBI NIH HHS R01 HL165688NHLBI NIH HHS R01 HL166203NIDDK NIH HHS P30 DK081943NIDDK NIH HHS P30 DK089503NIEHS NIH HHS R01 ES015146NIEHS NIH HHS R01 ES017290
6 · The paper itself

Abstract

Chronic Kidney Disease (CKD) is a risk factor for cardiovascular disease (CVD), and patients with CKD have markedly higher CVD mortality compared to healthy controls. However, the relationship between specific lipoprotein profiles and new CV events in patients with advanced CKD and cardiovascular burden is unknown. We profiled the distribution of High density lipoprotein (HDL) size, particle concentration, and cholesterol and triglyceride content of the baseline plasma of 325 subjects with moderate CKD followed for 2.5 years using nuclear magnetic resonance (NMR) spectroscopy. We used Cox regression models controlled for various clinical factors to characterize the role of specific HDL profiles in predicting CV events in this high-risk population. The cholesterol uptake capacity of HDL from peripheral tissues- cholesterol efflux capacity (CEC) and HDL oxidation were also quantified using standardized assays. Patients with new CV events demonstrated increased HDL size, large HDL particle numbers, and CEC. Increased HDL particle size [HR = 2.56, p = 0.002], large HDL particle numbers [HR = 1.41, p = 0.001], HDL-cholesterol levels [HR = 1.03, p = 0.008], and CEC [HR = 1.46, p = 0.03] associated with CV events. Our study demonstrates that higher HDL particle size associated with new CV events in the CKD population with a high cardiovascular burden independent of CEC and HDL cholesterol. Collectively, the data strongly associate altered lipoprotein metabolism, particularly HDL metabolism, and new CV events in patients with established CKD and CVD, allowing us to risk stratify and potentially reduce mortality and morbidity in this high-risk population.

Indexed as

Cardiovascular DiseasesLipoproteins, HDLRenal Insufficiency, ChronicAdultAgedCholesterol, HDLFemaleHumansMaleMiddle AgedParticle SizeRisk FactorsTriglyceridesCholesterol, HDLLipoproteins, HDLTriglycerides

Identifiers

PMID40168425
PMCPMC11960887

What Socratic holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 Socratic graph.