Evidence map›Paper›PMID 25424003›Full record

ArticleJournal of lipid research2015

Top-down lipidomics of low density lipoprotein reveal altered lipid profiles in advanced chronic kidney disease.

Ana Reis, Alisa Rudnitskaya, Pajaree Chariyavilaskul, Neeraj Dhaun, Vanessa Melville, Jane Goddard, David J Webb, Andrew R Pitt, Corinne M Spickett

Open access · hybridAbstract read
In one paragraph

Article in Journal of lipid research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed
2.8field-weighted citation impact, top 9% 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

47 citing papers in PubMed, 78 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

9 authors at 6 institutions in 2 countries.

Ana ReisSchool of Life and Health Sciences, Aston University, Birmingham, UK.
Alisa RudnitskayaCentro de Estudios do Ambiente e do Mar (CESAM), Department of Chemistry, Universidade de Aveiro, Portugal.
Pajaree ChariyavilaskulClinical Pharmacology Unit, British Heart Foundation Centre of Research Excellence, Queen's Medical Research Institute, University of Edinburgh, Edinburgh, UK.
Neeraj DhaunClinical Pharmacology Unit, British Heart Foundation Centre of Research Excellence, Queen's Medical Research Institute, University of Edinburgh, Edinburgh, UK Department of Renal Medicine, Royal Infirmary of Edinburgh, Edinburgh, UK.
Vanessa MelvilleClinical Pharmacology Unit, British Heart Foundation Centre of Research Excellence, Queen's Medical Research Institute, University of Edinburgh, Edinburgh, UK.
Jane GoddardDepartment of Renal Medicine, Royal Infirmary of Edinburgh, Edinburgh, UK.
David J WebbClinical Pharmacology Unit, British Heart Foundation Centre of Research Excellence, Queen's Medical Research Institute, University of Edinburgh, Edinburgh, UK.
Andrew R PittSchool of Life and Health Sciences, Aston University, Birmingham, UK.
Corinne M SpickettSchool of Life and Health Sciences, Aston University, Birmingham, UK.
Aston University · GBBritish Heart Foundation · GBEdinburgh Royal Infirmary · GBQueen's Medical Centre · GBUniversity of Aveiro · PTUniversity of Edinburgh · GB

Funding

British Heart Foundation FS/13/30/29994British Heart Foundation PG/05/91
6 · The paper itself

Abstract

This study compared the molecular lipidomic profile of LDL in patients with nondiabetic advanced renal disease and no evidence of CVD to that of age-matched controls, with the hypothesis that it would reveal proatherogenic lipid alterations. LDL was isolated from 10 normocholesterolemic patients with stage 4/5 renal disease and 10 controls, and lipids were analyzed by accurate mass LC/MS. Top-down lipidomics analysis and manual examination of the data identified 352 lipid species, and automated comparative analysis demonstrated alterations in lipid profile in disease. The total lipid and cholesterol content was unchanged, but levels of triacylglycerides and N-acyltaurines were significantly increased, while phosphatidylcholines, plasmenyl ethanolamines, sulfatides, ceramides, and cholesterol sulfate were significantly decreased in chronic kidney disease (CKD) patients. Chemometric analysis of individual lipid species showed very good discrimination of control and disease sample despite the small cohorts and identified individual unsaturated phospholipids and triglycerides mainly responsible for the discrimination. These findings illustrate the point that although the clinical biochemistry parameters may not appear abnormal, there may be important underlying lipidomic changes that contribute to disease pathology. The lipidomic profile of CKD LDL offers potential for new biomarkers and novel insights into lipid metabolism and cardiovascular risk in this disease.

Indexed as

AdultCholesterolCholesterol EstersHumansLipid MetabolismLipidsLipoproteins, LDLMaleMass SpectrometryMiddle AgedPhosphatidylcholinesPhospholipidsRenal Insufficiency, ChronicRisk FactorsTriglyceridesCholesterolCholesterol Esterscholesteryl sulfateLipidsLipoproteins, LDLPhosphatidylcholinesPhospholipidsTriglyceridescholesterolcholesterol sulfatedyslipidemiasinflammationmass spectrometryN-acyltaurinepartial least squares discriminant analysisphospholipids

Identifiers

PMID25424003
PMCPMC4306694
OpenAlexW2009503588

What OpenQuestion holds

Textmetadata
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.