Evidence map›Paper›PMID 31356923›Full record

ArticleBrain, behavior, and immunity2019

A proinflammatory diet is associated with inflammatory gene expression among healthy, non-obese adults: Can social ties protect against the risks?

Avelina C Padin, James R Hébert, Alex Woody, Stephanie J Wilson, Nitin Shivappa, Martha A Belury, William B Malarkey, John F Sheridan, Janice K Kiecolt-Glaser

Open access · greenAbstract read
In one paragraph

Article in Brain, behavior, and immunity, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
4.0field-weighted citation impact, top 7% 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

12 citing papers in PubMed, 28 citations in OpenAlex.

  1. Review
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  7. Review
  8. Use of the Dietary Inflammatory Index to Assess the Diet of Young Physically Active Men.International journal of environmental research and public health · 2022
    Article
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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

9 authors at 4 institutions in 1 country.

Avelina C PadinInstitute for Behavioral Medicine Research, The Ohio State University College of Medicine, United States; Department of Psychology, The Ohio State University, United States. Electronic address: avelina.padin@osumc.edu.
James R HébertDepartment of Epidemiology and Biostatistics and Cancer Prevention and Control Program, University of South Carolina, United States; Connecting Health Innovations LLC, United States.
Alex WoodyInstitute for Behavioral Medicine Research, The Ohio State University College of Medicine, United States.
Stephanie J WilsonInstitute for Behavioral Medicine Research, The Ohio State University College of Medicine, United States.
Nitin ShivappaDepartment of Epidemiology and Biostatistics and Cancer Prevention and Control Program, University of South Carolina, United States; Connecting Health Innovations LLC, United States.
Martha A BeluryInstitute for Behavioral Medicine Research, The Ohio State University College of Medicine, United States; Department of Human Sciences, College of Education and Human Ecology, The Ohio State University, United States.
William B MalarkeyInstitute for Behavioral Medicine Research, The Ohio State University College of Medicine, United States; Department of Internal Medicine, The Ohio State University College of Medicine, United States.
John F SheridanInstitute for Behavioral Medicine Research, The Ohio State University College of Medicine, United States; College of Dentistry, The Ohio State University College of Medicine, United States.
Janice K Kiecolt-GlaserInstitute for Behavioral Medicine Research, The Ohio State University College of Medicine, United States; Department of Psychiatry and Behavioral Health, The Ohio State University College of Medicine, United States.
Institute for Behavioral Medicine · USThe Ohio State University · USConnecting Health Innovations (United States) · USUniversity of South Carolina · US

Funding

Comprehensive Training in Oral &Craniofacial SciencesT32DE014320 · NIDCR · OHIO STATE UNIVERSITY · PI SHERIDAN, JOHN F · 2001 to 2022
$10.2M
Breast Cancer Survivors Cardiovascular Risks: Treatment and Behavioral InfluencesR01CA186720 · NCI · OHIO STATE UNIVERSITY · PI KIECOLT-GLASER, JANICE · 2014 to 2018
$4.6M
Aging, Stress, Fatty Acids and InflammationR01AG029562 · NIA · OHIO STATE UNIVERSITY · PI KIECOLT-GLASER, JANICE · 2007 to 2010
$2.3M
Diversity Supplement to R00 AG056667, Couples' Interactions and Inflammatory Responses: The Context-Dependent Role of AgeR00AG056667 · NIA · SOUTHERN METHODIST UNIVERSITY · PI WILSON, STEPHANIE JOY · 2019 to 2021
$856k
Biobehavioral Influences on Cancer: Perspectives from PsychoneuroimmunologyK05CA172296 · NCI · OHIO STATE UNIVERSITY · PI KIECOLT-GLASER, JANICE · 2013 to 2017
$426k
Couples' Interactions and Inflammatory Responses: The Context-Dependent Role of AgeK99AG056667 · NIA · OHIO STATE UNIVERSITY · PI WILSON, STEPHANIE JOY · 2018 to 2019
$195k
NCI NIH HHS K05 CA172296NCI NIH HHS R01 CA186720NIA NIH HHS K99 AG056667NIA NIH HHS L30 AG060525NIA NIH HHS R00 AG056667NIA NIH HHS R01 AG029562NIDCR NIH HHS T32 DE014320
6 · The paper itself

Abstract

The Western diet, characterized by high intake of saturated fat, sugar, and salt, is associated with elevated inflammation and chronic disease risk. Few studies have investigated molecular mechanisms linking diet and inflammation; however, a small number of randomized controlled trials suggest that consuming an anti-inflammatory diet (i.e., a primarily plant-based diet rich in monounsaturated fat and lean protein) decreases proinflammatory gene expression. The current study investigated the association between everyday diet and proinflammatory gene expression, as well as the extent to which central adiposity and social involvement modulate risk. Participants were healthy middle-aged and older adults (N = 105) who completed a food frequency questionnaire and reported how many close social roles they have. Anthropometric measurements and blood samples also were collected; gene expression data were analyzed from LPS-stimulated peripheral blood mononuclear cells for interleukin (IL)-6, IL-1β, and tumor necrosis factor (TNF)-α. The inflammatory potential of each participant's diet was calculated using the Dietary Inflammatory Index (DII®). Participants with higher DII® scores, indicating a more proinflammatory diet, had greater IL-6 (b = -0.02, SE = 0.008, p = .01), IL-1β (b = -0.01, SE = 0.006, p = .03), and TNF-α (b = -0.01, SE = 0.005, p = .04) gene expression if they had a smaller sagittal abdominal diameter (SAD); effects were not seen among those with higher SADs. Social involvement served a protective role, such that participants with smaller SADs had greater IL-6 (b = 0.01, SE = 0.004, p = .049) and IL-1β (b = 0.01, SE = 0.003, p = .045) gene expression only if they had less social involvement; there was no effect of diet on gene expression among those who reported greater social participation. Results are the first to demonstrate a link between self-reported diet and proinflammatory gene expression. Importantly, the effect of diet on gene expression depended upon both body fat composition and social participation, both of which have previously been linked directly with proinflammatory gene expression and inflammation.

Indexed as

AdultAgedAged, 80 and overBody CompositionBody WeightDietDietary FatsDiet, WesternFemaleGene ExpressionHumansInflammationInterleukin-1betaInterleukin-6Interpersonal RelationsMaleDietary FatsIL1B protein, humanInterleukin-1betaInterleukin-6Tumor Necrosis Factor-alphaCentral adiposityDietDietary Inflammatory IndexGene expressionInflammationObesitySocial integrationSocial isolation

Identifiers

PMID31356923
PMCPMC6800628
OpenAlexW2965679062

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.