Evidence map›Paper›PMID 37705078›Full record

ArticleImmunity & ageing : I & A2023

Association between body fat distribution and B-lymphocyte subsets in peripheral blood.

Pia Prechtl, Timo Schmitz, Nicole Pochert, Claudia Traidl-Hoffmann, Jakob Linseisen, Christa Meisinger, Dennis Freuer

Open access · goldAbstract read
In one paragraph

Article in Immunity & ageing : I & A, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.0field-weighted citation impact, top 22% 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

4 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

7 authors at 3 institutions in 2 countries.

Pia PrechtlEpidemiology, Medical Faculty, University of Augsburg, Augsburg, Germany.
Timo SchmitzEpidemiology, Medical Faculty, University of Augsburg, Augsburg, Germany.
Nicole PochertInstitute of Environmental Medicine, Helmholtz Munich, Munich, Germany.
Claudia Traidl-HoffmannInstitute of Environmental Medicine, Helmholtz Munich, Munich, Germany.
Jakob LinseisenEpidemiology, Medical Faculty, University of Augsburg, Augsburg, Germany.
Christa Meisinger *Epidemiology, Medical Faculty, University of Augsburg, Augsburg, Germany.
Dennis Freuer *Epidemiology, Medical Faculty, University of Augsburg, Augsburg, Germany. dennis.freuer@med.uni-augsburg.de.
University of Augsburg · DELudwig-Maximilians-Universität München · DEHelmholtz Zentrum München · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundObesity is associated with chronic low-grade inflammation, which is underpinned by the presence of elevated levels of circulating proinflammatory cytokines in obese individuals. Due to the close relationship between adipose tissue and the immune system, it can be speculated that the accumulation of fat may influence the frequency and phenotype of lymphocyte populations. The aim of our study was to investigate whether body fat distribution is associated with B lymphocyte composition in peripheral blood. We examined the association between visceral (VAT) and total body fat (TBF) and the frequencies of B-cell subsets in 238 subjects over a period of up to one year using random intercept models. B lymphocyte subsets were determined by fluorescence-based flow cytometry.

resultsInverse associations were found between body fat measurements and plasma blasts, memory B cells, and IgM

conclusionsIn conclusion, body fat accumulation seems to be associated with a lower proportion of antibody-secreting plasma blasts and memory cells and an increasing amount of partially anergic, naive CD19 cells.

Indexed as

Adaptive immunityB cellsB-lymphocytesImmune systemObesityVisceral fat

Identifiers

PMID37705078
PMCPMC10498588
OpenAlexW4386715006

What OpenQuestion holds

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LicenceCC BY
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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.