Evidence map›Paper›PMID 37731962›Full record

ArticleKidney medicine2023

High-Density Lipoprotein Lipidomics and Mortality in CKD.

Benjamin Lidgard, Andrew N Hoofnagle, Leila R Zelnick, Ian H de Boer, Amanda M Fretts, Bryan R Kestenbaum, Rozenn N Lemaitre, Cassianne Robinson-Cohen, Nisha Bansal

Open access · goldAbstract read
In one paragraph

Article in Kidney medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.4field-weighted citation impact, top 17% 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

5 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. 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 at 2 institutions in 1 country.

Benjamin LidgardUniversity of Washington, Seattle, WA.
Andrew N HoofnagleUniversity of Washington, Seattle, WA.
Leila R ZelnickUniversity of Washington, Seattle, WA.
Ian H de BoerUniversity of Washington, Seattle, WA.
Amanda M FrettsUniversity of Washington, Seattle, WA.
Bryan R KestenbaumUniversity of Washington, Seattle, WA.
Rozenn N LemaitreUniversity of Washington, Seattle, WA.
Cassianne Robinson-CohenVanderbilt University, Nashville, TN.
Nisha BansalUniversity of Washington, Seattle, WA.
University of Washington · USVanderbilt University · US

Funding

Vector and Transgenic Mouse CoreP30DK017047 · NIDDK · UNIVERSITY OF WASHINGTON · PI Sakeneh Zraika · 1986 to 2026
$41.4M
PILOT STUDY--CLINICAL NUTRITION RESEARCHP30DK035816 · NIDDK · UNIVERSITY OF WASHINGTON · PI Ellen A Schur · 1986 to 2026
$30.4M
Mentored research in the intersection of kidney and cardiovascular diseaseK26DK138333 · NIDDK · UNIVERSITY OF WASHINGTON · PI Nisha Bansal · 2023 to 2026
$440k
NIDDK NIH HHS K26 DK138333NIDDK NIH HHS P30 DK017047NIDDK NIH HHS P30 DK035816
6 · The paper itself

Abstract

Rationale & Objective: Patients with chronic kidney disease (CKD) have dysfunctional high-density lipoprotein (HDL) particles that lack cardioprotective properties; altered lipid composition may be associated with these changes. To investigate HDL lipids as potential cardiovascular risk factors in CKD, we tested the associations of HDL ceramides, sphingomyelins, and phosphatidylcholines with mortality. Study Design: We leveraged data from a longitudinal prospective cohort of participants with CKD. Setting & Participants: We included participants aged greater than 21 years with CKD, excluding those on maintenance dialysis or with prior kidney transplant. Exposure: HDL particles were isolated using density gradient ultracentrifugation. We quantified the relative abundance of HDL ceramides, sphingomyelins, and phosphatidylcholines via liquid chromatography tandem mass spectrometry (LC-MS/MS). Outcomes: Our primary outcome was all-cause mortality. Analytical Approach: We tested associations using Cox regressions adjusted for demographics, comorbid conditions, laboratory values, medication use, and highly correlated lipids with opposed effects, controlling for multiple comparisons with false discovery rates (FDR). Results: There were 168 deaths over a median follow-up of 6.12 years (interquartile range, 3.71-9.32). After adjustment, relative abundance of HDL ceramides (HR, 1.22 per standard deviation; 95% CI, 1.06-1.39), sphingomyelins with long fatty acids (HR, 1.44; 95% CI, 1.05-1.98), and saturated and monounsaturated phosphatidylcholines (HR, 1.22; 95% CI, 1.06-1.41) were significantly associated with increased risk of all-cause mortality (FDR < 5%). Limitations: We were unable to test associations with cardiovascular disease given limited power. HDL lipidomics may not reflect plasma lipidomics. LC-MS/MS is unable to differentiate between glucosylceramides and galactosylceramides. The cohort was comprised of research volunteers in the Seattle area with CKD. Conclusions: Greater relative HDL abundance of 3 classes of lipids was associated with higher risk of all-cause mortality in CKD; sphingomyelins with very long fatty acids were associated with a lower risk. Altered lipid composition of HDL particles may be a novel cardiovascular risk factor in CKD. Plain-Language Summary: Patients with chronic kidney disease have abnormal high-density lipoprotein (HDL) particles that lack the beneficial properties associated with these particles in patients with normal kidney function. To investigate if small lipid molecules found on the surface of HDL might be associated with these changes, we tested the associations of lipid molecules found on HDL with death among patients with chronic kidney disease. We found that several lipid molecules found on the surface of HDL were associated with increased risk of death among these patients. These findings suggest that lipid molecules may be risk factors for death among patients with chronic kidney disease.

Indexed as

chronic kidney diseaseHigh-density lipoproteinlipid moleculeslipidomicsmortalitysphingolipids

Identifiers

PMID37731962
PMCPMC10507644
OpenAlexW4385614874

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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 OpenQuestion graph.