Evidence map›Paper›PMID 37550405›Full record

ArticleInternational journal of obesity (2005)2023

Comprehensive analyses of circulating cardiometabolic proteins and objective measures of fat mass.

Olga E Titova, Carl Brunius, Eva Warensjö Lemming, Karl Stattin, John A Baron, Liisa Byberg, Karl Michaëlsson, Susanna C Larsson

Open access · hybridAbstract read
In one paragraph

Article in International journal of obesity (2005), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.9field-weighted citation impact, top 24% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Leveraging Multiomic Signatures to Predict Body Composition.Advances in nutrition (Bethesda, Md.) · 2026
    Review
  2. A Multiomics Study of Circulating Proteins and Kidney Stone Risk.Journal of the American Society of Nephrology : JASN · 2025
    Article
  3. 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

8 authors at 2 institutions in 2 countries.

Olga E TitovaUnit of Medical Epidemiology, Department of Surgical Sciences, Uppsala University, Uppsala, Sweden. olga.titova@surgsci.uu.se.ORCID 0000-0003-2747-1606
Carl BruniusUnit of Medical Epidemiology, Department of Surgical Sciences, Uppsala University, Uppsala, Sweden.
Eva Warensjö LemmingUnit of Medical Epidemiology, Department of Surgical Sciences, Uppsala University, Uppsala, Sweden.
Karl StattinDepartment of Surgical Sciences, Anaesthesiology and Intensive Care, Uppsala University, Uppsala, Sweden.
John A BaronUnit of Medical Epidemiology, Department of Surgical Sciences, Uppsala University, Uppsala, Sweden.
Liisa BybergUnit of Medical Epidemiology, Department of Surgical Sciences, Uppsala University, Uppsala, Sweden.
Karl MichaëlssonUnit of Medical Epidemiology, Department of Surgical Sciences, Uppsala University, Uppsala, Sweden.
Susanna C LarssonUnit of Medical Epidemiology, Department of Surgical Sciences, Uppsala University, Uppsala, Sweden.
Uppsala University · SEUniversity of North Carolina at Chapel Hill · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe underlying molecular pathways for the effect of excess fat mass on cardiometabolic diseases is not well understood. Since body mass index is a suboptimal measure of body fat content, we investigated the relationship of fat mass measured by dual-energy X-ray absorptiometry with circulating cardiometabolic proteins.

methodsWe used data from a population-based cohort of 4950 Swedish women (55-85 years), divided into discovery and replication samples; 276 proteins were assessed with three Olink Proseek Multiplex panels. We used random forest to identify the most relevant biomarker candidates related to fat mass index (FMI), multivariable linear regression to further investigate the associations between FMI characteristics and circulating proteins adjusted for potential confounders, and principal component analysis (PCA) for the detection of common covariance patterns among the proteins.

resultsTotal FMI was associated with 66 proteins following adjustment for multiple testing in discovery and replication multivariable analyses. Five proteins not previously associated with body size were associated with either lower FMI (calsyntenin-2 (CLSTN2), kallikrein-10 (KLK10)), or higher FMI (scavenger receptor cysteine-rich domain-containing group B protein (SSC4D), trem-like transcript 2 protein (TLT-2), and interleukin-6 receptor subunit alpha (IL-6RA)). PCA provided an efficient summary of the main variation in FMI-related circulating proteins involved in glucose and lipid metabolism, appetite regulation, adipocyte differentiation, immune response and inflammation. Similar patterns were observed for regional fat mass measures.

conclusionsThis is the first large study showing associations between fat mass and circulating cardiometabolic proteins. Proteins not previously linked to body size are implicated in modulation of postsynaptic signals, inflammation, and carcinogenesis.

Indexed as

Body CompositionCardiovascular DiseasesAdipose TissueBody Mass IndexFemaleHumansInflammation

Identifiers

PMID37550405
PMCPMC10599989
OpenAlexW4385637902

What Socratic 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 Socratic graph.