Evidence map›Paper›PMID 37794065›Full record

ArticleScientific reports2023

Healthy lifestyle linked to innate immunity and lipoprotein metabolism: a cross-sectional comparison using untargeted proteomics.

David C Nieman, Camila A Sakaguchi, Matteo Pelleigrini, Michael J Thompson, Susan Sumner, Qibin Zhang

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.9field-weighted citation impact, top 13% 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

9 citing papers in PubMed, 9 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 4 institutions in 1 country.

David C NiemanHuman Performance Laboratory, Biology Department, Appalachian State University, North Carolina Research Campus, Kannapolis, NC, USA. niemandc@appstate.edu.
Camila A SakaguchiHuman Performance Laboratory, Biology Department, Appalachian State University, North Carolina Research Campus, Kannapolis, NC, USA.
Matteo PelleigriniDepartment of Molecular, Cell, and Developmental Biology, University of California Los Angeles, Los Angeles, CA, USA.
Michael J ThompsonDepartment of Molecular, Cell, and Developmental Biology, University of California Los Angeles, Los Angeles, CA, USA.
Susan SumnerNutrition Research Institute, University of North Carolina at Chapel Hill, Kannapolis, NC, 28081, USA.
Qibin ZhangUNCG Center for Translational Biomedical Research, University of North Carolina at Greensboro, North Carolina Research Campus, Kannapolis, NC, USA.
Appalachian State University · USUniversity of California, Los Angeles · USDavid H. Murdock Research Institute · USUniversity of North Carolina at Greensboro · US

Funding

UNIV OF NORTH CAROLINA CLINICAL NUTRITION RESEARCH UNITP30DK056350 · NIDDK · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Venkata Saroja Voruganti · 1999 to 2026
$31.6M
NIDDK NIH HHS P30 DK056350
6 · The paper itself

Abstract

This study used untargeted proteomics to compare blood proteomic profiles in two groups of adults that differed widely in lifestyle habits. A total of 52 subjects in the lifestyle group (LIFE) (28 males, 24 females) and 52 in the control group (CON) (27 males, 25 females) participated in this cross-sectional study. Age, education level, marital status, and height did not differ significantly between LIFE and CON groups. The LIFE and CON groups differed markedly in body composition, physical activity patterns, dietary intake patterns, disease risk factor prevalence, blood measures of inflammation, triglycerides, HDL-cholesterol, glucose, and insulin, weight-adjusted leg/back and handgrip strength, and mood states. The proteomics analysis showed strong group differences for 39 of 725 proteins identified in dried blood spot samples. Of these, 18 were downregulated in the LIFE group and collectively indicated a lower innate immune activation signature. A total of 21 proteins were upregulated in the LIFE group and supported greater lipoprotein metabolism and HDL remodeling. Lifestyle-related habits and biomarkers were probed and the variance (> 50%) in proteomic profiles was best explained by group contrasts in indicators of adiposity. This cross-sectional study established that a relatively small number of proteins are associated with good lifestyle habits.

Indexed as

Hand StrengthProteomicsAdultBody Mass IndexCholesterol, HDLCross-Sectional StudiesFemaleHealthy LifestyleHumansImmunity, InnateLife StyleMaleRisk FactorsTriglyceridesCholesterol, HDLTriglycerides

Identifiers

PMID37794065
PMCPMC10550951
OpenAlexW4387330309

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.