Evidence map›Paper›PMID 36116503›Full record

ReviewArchives of biochemistry and biophysics2022

Oxidative modification of HDL by lipid aldehydes impacts HDL function.

Reza Fadaei, Sean S Davies

Open access · greenAbstract readReview
In one paragraph

Review in Archives of biochemistry and biophysics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
1.5field-weighted citation impact, top 18% 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

16 citing papers in PubMed, 1 synthesis or guideline pooled it, 23 citations in OpenAlex.

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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

2 authors at 2 institutions in 2 countries.

Reza FadaeiSleep Disorders Research Center, Kermanshah University of Medical Sciences, Kermanshah, Iran.
Sean S DaviesDepartment of Pharmacology, Vanderbilt University, Nashville, TN, USA. Electronic address: Sean.davies@vanderbilt.edu.
Kermanshah University of Medical Sciences · IRVanderbilt University · US

Funding

Non-coding RNA & Bioinformatics CoreP01HL116263 · NHLBI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI DAVIES, SEAN STEPHEN · 2014 to 2025
$24.7M
NHLBI NIH HHS P01 HL116263
6 · The paper itself

Abstract

Reduced levels of high-density lipoprotein (HDL) cholesterol correlate with increased risk for atherosclerotic cardiovascular diseases and HDL performs functions including reverse cholesterol transport, inhibition of lipid peroxidation, and suppression of inflammation, that would appear critical for cardioprotection. However, several large clinical trials utilizing pharmacologic interventions that elevated HDL cholesterol levels failed to provide cardioprotection to at-risk individuals. The reasons for these unexpected results have only recently begun to be elucidated. HDL cholesterol levels and HDL function can be significantly discordant, so that elevating HDL cholesterol levels may not necessarily lead to increased functional capacity, particularly under conditions that cause HDL to become oxidatively modified, resulting in HDL dysfunction. Here we review evidence that oxidative modifications of HDL, including by reactive lipid aldehydes generated by lipid peroxidation, reduce HDL functionality and that dicarbonyl scavengers that protect HDL against lipid aldehyde modification are beneficial in pre-clinical models of atherosclerotic cardiovascular disease.

Indexed as

AldehydesAtherosclerosisCholesterol, HDLHumansLipid PeroxidationOxidative StressAldehydesCholesterol, HDLapoA1AtherosclerosisHDLIsolevuglandinsLipid aldehydesMalondialdehyde

Identifiers

PMID36116503
PMCPMC9670862
OpenAlexW4295958079

What OpenQuestion holds

Textmetadata
LicenceTDM
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.