Evidence map›Paper›PMID 34065648›Full record

ReviewBiomedicines2021

Subpopulations of High-Density Lipoprotein: Friends or Foes in Cardiovascular Disease Risk in Chronic Kidney Disease?

Susana Coimbra, Flávio Reis, Maria João Valente, Susana Rocha, Cristina Catarino, Petronila Rocha-Pereira, Maria Sameiro-Faria, Elsa Bronze-da-Rocha, Luís Belo, Alice Santos-Silva

Open access · goldAbstract readReview
In one paragraph

Review in Biomedicines, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-weighted citation impact, top 38% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. 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

10 authors at 3 institutions in 1 country.

Susana CoimbraUCIBIO\REQUIMTE, Laboratory of Biochemistry, Department of Biological Sciences, Faculty of Pharmacy, University of Porto, 4050-313 Porto, Portugal.ORCID 0000-0001-8411-8038
Flávio ReisInstitute of Pharmacology & Experimental Therapeutics, & Coimbra Institute for Clinical and Biomedical Research (iCBR), Faculty of Medicine, University of Coimbra, 3000-548 Coimbra, Portugal.ORCID 0000-0003-3401-9554
Maria João ValenteUCIBIO\REQUIMTE, Laboratory of Biochemistry, Department of Biological Sciences, Faculty of Pharmacy, University of Porto, 4050-313 Porto, Portugal.
Susana RochaLAQV, REQUIMTE, Laboratory of Applied Chemistry, Department of Chemical Sciences, Faculty of Pharmacy, University of Porto, 4050-313 Porto, Portugal.ORCID 0000-0003-4196-2217
Cristina CatarinoUCIBIO\REQUIMTE, Laboratory of Biochemistry, Department of Biological Sciences, Faculty of Pharmacy, University of Porto, 4050-313 Porto, Portugal.
Petronila Rocha-PereiraUCIBIO\REQUIMTE, Laboratory of Biochemistry, Department of Biological Sciences, Faculty of Pharmacy, University of Porto, 4050-313 Porto, Portugal.
Maria Sameiro-FariaUCIBIO\REQUIMTE, Laboratory of Biochemistry, Department of Biological Sciences, Faculty of Pharmacy, University of Porto, 4050-313 Porto, Portugal.
Elsa Bronze-da-RochaUCIBIO\REQUIMTE, Laboratory of Biochemistry, Department of Biological Sciences, Faculty of Pharmacy, University of Porto, 4050-313 Porto, Portugal.
Luís BeloUCIBIO\REQUIMTE, Laboratory of Biochemistry, Department of Biological Sciences, Faculty of Pharmacy, University of Porto, 4050-313 Porto, Portugal.
Alice Santos-SilvaUCIBIO\REQUIMTE, Laboratory of Biochemistry, Department of Biological Sciences, Faculty of Pharmacy, University of Porto, 4050-313 Porto, Portugal.
Universidade do Porto · PTUniversity of Beira Interior · PTUniversity of Coimbra · PT

Funding

Applied Molecular Biosciences Unit (UCIBIO), financed by national funds from FCT UIDP/04378/2020 and UIDB/04378/2020CCDR-C/CENTRO2020/Portugal2020 CENTRO-01-0145-FEDER-000012-HealthyAging2020FCT UIDP/04539/2020 (CIBB) and PTDC/SAU-NUT/31712/2017FEDER/COMPETE PO-CI-01-0145-FEDER-007440North Portugal Regional Coordination and Development Commission (CCDR-N)/NORTE2020/Portugal 2020 Norte-01-0145-FEDER-000024Rede de Química e Tecnologia-Associação (REQUIMTE) in the form of a researcher (S. Rocha) - project Dial4Life co-financed by FCT/MCTES PTDC/MEC-CAR/31322/2017Rede de Química e Tecnologia-Associação (REQUIMTE) in the form of a researcher (S. Rocha) - project Dial4Life co-financed by FEDER/COMPETE 2020 POCI-01-0145-FEDER-031322
6 · The paper itself

Abstract

Dyslipidemia is a major traditional risk factor for cardiovascular disease (CVD) in chronic kidney disease (CKD) patients, although the altered lipid profile does not explain the number and severity of CVD events. High-density lipoprotein (HDL) is a heterogeneous (size, composition, and functionality) population of particles with different atherogenic or atheroprotective properties. HDL-cholesterol concentrations per se may not entirely reflect a beneficial or a risk profile for CVD. Large HDL in CKD patients may have a unique proteome and lipid composition, impairing their cholesterol efflux capacity. This lack of HDL functionality may contribute to the paradoxical coexistence of increased large HDL and enhanced risk for CVD events. Moreover, CKD is associated with inflammation, oxidative stress, diabetes, and/or hypertension that are able to interfere with the anti-inflammatory, antioxidative, and antithrombotic properties of HDL subpopulations. How these changes interfere with HDL functions in CKD is still poorly understood. Further studies are warranted to fully clarify if different HDL subpopulations present different functionalities and/or atheroprotective effects. To achieve this goal, the standardization of techniques would be valuable.

Indexed as

cardiovascular disease riskchronic kidney diseaseHDL functionalityHDL subpopulationsinflammationoxidative stress

Identifiers

PMID34065648
PMCPMC8157071
OpenAlexW3161524328

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.