Evidence map›Paper›PMID 42362718›Full record

ArticleInternational journal of obesity (2005)2026

Linking circulating chemerin and adiponectin to lipoprotein subclasses measured by

Benjamin Spindler, Anke Hannemann, Henry Völzke, Stefan Groß, Martin Bahls, Kathrin Budde, Astrid Petersmann, Ann-Kristin Henning, Theresa Winter, Stephanie Könemann and 4 more

Abstract read
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Article in International journal of obesity (2005), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

14 authors.

Benjamin SpindlerInstitute of Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, Greifswald, Germany.
Anke HannemannInstitute of Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, Greifswald, Germany. anke.hannemann@med.uni-greifswald.de.ORCID http://orcid.org/0000-0003-4420-5449
Henry VölzkeInstitute for Community Medicine, University Medicine Greifswald, Greifswald, Germany.
Stefan GroßDZHK (German Centre for Cardiovascular Research), partnersite North, Greifswald, Germany.
Martin BahlsDZHK (German Centre for Cardiovascular Research), partnersite North, Greifswald, Germany.
Kathrin BuddeInstitute of Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, Greifswald, Germany.
Astrid PetersmannInstitute of Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, Greifswald, Germany.
Ann-Kristin HenningInstitute of Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, Greifswald, Germany.
Theresa WinterInstitute of Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, Greifswald, Germany.
Stephanie KönemannDZHK (German Centre for Cardiovascular Research), partnersite North, Greifswald, Germany.
Marcus DörrDZHK (German Centre for Cardiovascular Research), partnersite North, Greifswald, Germany.
Matthias NauckInstitute of Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, Greifswald, Germany.ORCID http://orcid.org/0000-0002-6678-7964
Nele FriedrichInstitute of Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, Greifswald, Germany.
Stephanie ZyllaInstitute of Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, Greifswald, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND/

objectivesAssociations between adiponectin and chemerin with the most clinically established lipid parameters for assessing cardiovascular risk - LDL-cholesterol, HDL-cholesterol, and triglycerides-are well documented. Since lipoproteins are heterogeneous with respect to size, density, and chemical composition, the examination of their subclasses could help to elucidate the complex interactions between adipokines and lipid metabolism. SUBJECTS/

methodsLipoprotein subclasses were quantified by nuclear magnetic resonance spectroscopy in samples from 3199 participants of the Study of Health in Pomerania (SHIP-TREND-0). Associations between adiponectin/chemerin and lipoprotein subclasses were analyzed using appropriately adjusted linear regression models.

resultsThe analyses revealed a wide range of statistically significant associations between adiponectin/chemerin and lipoprotein subclasses, that were primarily in opposite directions. Higher adiponectin concentrations were, for example, related to a lower particle number and a lower cholesterol, phospholipid and triglyceride content in atherogenic small, dense LDL-particles, while positive associations were observed for chemerin.

conclusionsOur highly consistent results demonstrate that high adiponectin was associated with a favorable, anti-atherogenic lipoprotein profile, whereas the opposite was observed for chemerin. Whether these cross-sectional associations reflect causal mechanisms or alternatively, shared underlying metabolic processes, must be clarified by experimental and longitudinal research.

Indexed as

AdiponectinChemokinesIntercellular Signaling Peptides and ProteinsLipoproteinsAdultCross-Sectional StudiesFemaleGermanyHumansMagnetic Resonance SpectroscopyMaleMiddle AgedProton Magnetic Resonance SpectroscopyTriglyceridesAdiponectinADIPOQ protein, humanChemokinesIntercellular Signaling Peptides and ProteinsLipoproteinsRARRES2 protein, humanTriglycerides

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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.