Evidence map›Paper›PMID 31215770›Full record

ArticleJournal of cellular and molecular medicine2019

Metabolic signature associated with parameters of the complete blood count in apparently healthy individuals.

Annette Masuch, Kathrin Budde, Gabi Kastenmüller, Anna Artati, Jerzy Adamski, Henry Völzke, Matthias Nauck, Maik Pietzner

Open access · goldAbstract read
In one paragraph

Article in Journal of cellular and molecular medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.3field-weighted citation impact, top 44% 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

5 citing papers in PubMed, 6 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

8 authors at 2 institutions in 1 country.

Annette MasuchInstitute of Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, Greifswald, Germany.ORCID 0000-0002-8168-5042
Kathrin BuddeInstitute of Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, Greifswald, Germany.
Gabi KastenmüllerInstitute of Bioinformatics and Systems Biology, Helmholtz Zentrum München, Neuherberg, Germany.
Anna ArtatiInstitute of Experimental Genetics, Genome Analysis Centre, Helmholtz Zentrum München, Neuherberg, Germany.
Jerzy AdamskiInstitute of Experimental Genetics, Genome Analysis Centre, Helmholtz Zentrum München, Neuherberg, Germany.
Henry VölzkeGerman Centre for Cardiovascular Disease (DZHK e.V.), partner site Greifswald, Greifswald, Germany.
Matthias NauckInstitute of Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, Greifswald, Germany.
Maik PietznerInstitute of Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, Greifswald, Germany.ORCID 0000-0003-3437-9963
Universitätsmedizin Greifswald · DEHelmholtz Zentrum München · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Metabolomics studies now approach large sample sizes and the health characterization of the study population often include complete blood count (CBC) results. Upon careful interpretation the CBC aids diagnosis and provides insight into the health status of the patient within a clinical setting. Uncovering metabolic signatures associated with parameters of the CBC in apparently healthy individuals may facilitate interpretation of metabolomics studies in general and related to diseases. For this purpose 879 subjects from the population-based Study of Health in Pomerania (SHIP)-TREND were included. Using metabolomics data resulting from mass-spectrometry based measurements in plasma samples associations of specific CBC parameters with metabolites were determined by linear regression models. In total, 118 metabolites significantly associated with at least one of the CBC parameters. Strongest associations were observed with metabolites of heme degradation and energy production/consumption. Inverse association seen with mean corpuscular volume and mean corpuscular haemoglobin comprised metabolites potentially related to kidney function. The presently identified metabolic signatures are likely derived from the general function and formation/elimination of blood cells. The wealth of associated metabolites strongly argues to consider CBC in the interpretation of metabolomics studies, in particular if mutual effects on those parameters by the disease of interest are known.

Indexed as

Blood Cell CountHealth StatusMetabolomicsAdultFemaleHumansMaleMass Spectrometryapparently healthyblood cell metabolismcomplete blood countmetabolomicspopulation-based study

Identifiers

PMID31215770
PMCPMC6652895
OpenAlexW2950676633

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.