Evidence map›Paper›PMID 26862555›Full record

ArticleData in brief2016

Lipidomic dataset of plasma from patients infected with wild type and nef-deficient HIV-1 strain.

Peter Meikle, Hann Low, Melissa J Churchill, Michael Bukrinsky, Dmitri Sviridov

Open access · goldAbstract read
In one paragraph

Article in Data in brief, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 34% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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

5 authors at 3 institutions in 2 countries.

Peter MeikleBaker IDI Heart and Diabetes Institute, PO Box 6492, Melbourne, VIC 3004, Australia.
Hann LowBaker IDI Heart and Diabetes Institute, PO Box 6492, Melbourne, VIC 3004, Australia.
Melissa J ChurchillMacfarlane Burnett Institute for Medical Research and Public Health, 85 Commercial Rd, Melbourne, VIC 3004, Australia.
Michael BukrinskyDepartment of Microbiology, Immunology and Tropical Medicine, George Washington University, 2300 I St. NW, Ross Hall, Washington DC 20037, USA.
Dmitri SviridovBaker IDI Heart and Diabetes Institute, PO Box 6492, Melbourne, VIC 3004, Australia.
Baker Heart and Diabetes Institute · AUBurnet Institute · AUGeorge Washington University · US

Funding

HIV Disease and Impairement of High Density Lipoprotein MetabolismR01HL101274 · NHLBI · GEORGE WASHINGTON UNIVERSITY · PI BUKRINSKY, MICHAEL ILYA, FITZGERALD, MICHAEL LEO · 2010 to 2015
$4.0M
Metabolic complications of HIV disease caused by Nef released from HIV-infected cellsR01HL131473 · NHLBI · GEORGE WASHINGTON UNIVERSITY · PI BUKRINSKY, MICHAEL ILYA, SVIRIDOV, DMITRI · 2016 to 2019
$1.6M
NHLBI NIH HHS R01 HL101274NHLBI NIH HHS R01 HL131473
6 · The paper itself

Abstract

Previous in vitro and in vivo studies demonstrated that HIV protein nef plays a key role in impairing cellular and systemic cholesterol metabolism in HIV disease, but clinical support for these findings is lacking. Here we present the data of comparative lipidomic analysis (330 lipid species) of plasma samples from HIV-negative subjects, patients infected with WT HIV-1 strain and patients infected with nef-deficient strain of HIV-1. We determine which effects of HIV on plasma lipidome are explained by the presence of nef. The data can be used to evaluate cardiovascular risk in HIV disease and to assess the role of nef in HIV-induced disturbances in systemic lipid metabolism. The full impact of nef deficiency on lipid and lipoprotein metabolism in HIV-infected patients is presented in the accompanying study "Lipid Metabolism in Patients Infected with Nef-deficient HIV-1 Strain" [1].

Identifiers

PMID26862555
PMCPMC4706608
OpenAlexW2201690958

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.