Evidence map›Paper›PMID 31804015›Full record

ArticleObesity (Silver Spring, Md.)2020

Changes in Proteomic Profiles are Related to Changes in BMI and Fat Distribution During 10 Years of Aging.

Lars Lind, Sylwia Figarska, Johan Sundström, Tove Fall, Johan Ärnlöv, Erik Ingelsson

Open access · greenAbstract read
In one paragraph

Article in Obesity (Silver Spring, Md.), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
0.7field-weighted citation impact, top 30% 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

17 citing papers in PubMed, 1 synthesis or guideline pooled it, 30 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

6 authors at 3 institutions in 2 countries.

Lars LindCardiovascular Epidemiology, Department of Medical Sciences, Uppsala University, Uppsala, Sweden.
Sylwia FigarskaDivision of Cardiovascular Medicine, Department of Medicine, Stanford University School of Medicine, Stanford, California, USA.
Johan SundströmCardiovascular Epidemiology, Department of Medical Sciences, Uppsala University, Uppsala, Sweden.
Tove FallMolecular Epidemiology and Science for Life Laboratory, Department of Medical Sciences, Uppsala University, Uppsala, Sweden.
Johan ÄrnlövDivision of Family Medicine and Primary Care, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Huddinge, Sweden.
Erik IngelssonDivision of Cardiovascular Medicine, Department of Medicine, Stanford University School of Medicine, Stanford, California, USA.ORCID 0000-0003-2256-6972
Uppsala University · SECardiovascular Institute of the South · USDalarna University · SE

Funding

Beyond GWAS of insulin resistance: An integrated approach to translate genetic association to functionR01DK106236 · NIDDK · STANFORD UNIVERSITY · PI KNOWLES, JOSHUA WILEY · 2016 to 2020
$2.4M
Causal associations of circulating biomarkers with cardiovascular diseaseR01HL135313 · NHLBI · STANFORD UNIVERSITY · PI INGELSSON, ERIK · 2017 to 2019
$1.6M
NHLBI NIH HHS R01 HL135313NIDDK NIH HHS R01 DK106236
6 · The paper itself

Abstract

objectiveThis study investigated how changes in 84 proteins over a 10-year period of aging were related to changes in measures of body fat and distribution over the same period.

methodsCardiovascular candidate proteins were measured using the proximal extension assay technique, along with BMI and waist-hip ratio (WHR), at ages 70, 75, and 80 in 1,016 participants of the Prospective Investigation of the Vasculature in Uppsala Seniors (PIVUS) cohort. Associations of changes in plasma protein levels, BMI, and WHR over time were analyzed using linear mixed models.

resultsChanges in 19 and 16 proteins were significantly associated with changes in BMI and WHR, respectively (P < 0.00059), over the investigated 10-year period. Leptin and fatty acid-binding protein 4 were among the proteins most strongly associated with changes in both BMI and WHR. Four of the proteins significantly tracked with change in BMI (P < 0.00059) but not WHR (P > 0.05): endothelial cell-specific molecule 1, pentraxin-related protein PTX3, ST2 protein (also known as interleukin-1 receptor-like 1), and spondin-1. Five proteins tracked with change in WHR (P < 0.00059) but not BMI (P > 0.05): caspase-8, cathepsin L1, oxidized low-density lipoprotein receptor 1, interleukin-6 receptor subunit alpha, and C-C motif chemokine 20.

conclusionsThis is the first large longitudinal study of how changes in plasma protein signatures are associated with changes in measures of body fat and distribution over 10 years of aging.

Indexed as

Body Mass IndexAdipose TissueAgedAged, 80 and overAgingCohort StudiesFemaleHumansLongitudinal StudiesMaleProspective StudiesProteomics

Identifiers

PMID31804015
PMCPMC6986305
OpenAlexW2994013841

What OpenQuestion holds

Textmetadata
LicenceTDM
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.