Evidence map›Paper›PMID 34871345›Full record

ArticleThe American journal of clinical nutrition2022

Associations of the Dietary Inflammatory Index with total adiposity and ectopic fat through the gut microbiota, LPS, and C-reactive protein in the Multiethnic Cohort-Adiposity Phenotype Study.

Chloe P Lozano, Lynne R Wilkens, Yurii B Shvetsov, Gertraud Maskarinec, Song-Yi Park, John A Shepherd, Carol J Boushey, James R Hebert, Michael D Wirth, Thomas Ernst and 5 more

Abstract read
In one paragraph

Article in The American journal of clinical nutrition, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 60 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
60citing papers in PubMed, 4 pooled it
–field-weighted citation impact
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

60 citing papers in PubMed, 4 syntheses or guidelines pooled it.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

15 authors.

Chloe P LozanoUniversity of Hawaii Cancer Center, Honolulu, HI, USA.ORCID 0000-0003-4278-1602
Lynne R WilkensUniversity of Hawaii Cancer Center, Honolulu, HI, USA.
Yurii B ShvetsovUniversity of Hawaii Cancer Center, Honolulu, HI, USA.ORCID 0000-0001-5131-9618
Gertraud MaskarinecUniversity of Hawaii Cancer Center, Honolulu, HI, USA.ORCID 0000-0002-8129-958X
Song-Yi ParkUniversity of Hawaii Cancer Center, Honolulu, HI, USA.
John A ShepherdUniversity of Hawaii Cancer Center, Honolulu, HI, USA.
Carol J BousheyUniversity of Hawaii Cancer Center, Honolulu, HI, USA.
James R HebertUniversity of South Carolina, Cancer Prevention and Control Program, Department of Epidemiology and Biostatistics, Arnold School of Public Health, Columbia, SC, USA.ORCID 0000-0002-0677-2672
Michael D WirthUniversity of South Carolina, Cancer Prevention and Control Program, Department of Epidemiology and Biostatistics, Arnold School of Public Health, Columbia, SC, USA.
Thomas ErnstUniversity of Maryland, Department of Diagnostic Radiology and Nuclear Medicine, Baltimore, MD, USA.
Timothy RandolphFred Hutchinson Cancer Research Center, Public Health Sciences Division, Seattle, WA, USA.
Unhee LimUniversity of Hawaii Cancer Center, Honolulu, HI, USA.ORCID 0000-0001-6221-7190
Johanna W LampeFred Hutchinson Cancer Research Center, Public Health Sciences Division, Seattle, WA, USA.ORCID 0000-0003-2717-3780
Loïc Le MarchandUniversity of Hawaii Cancer Center, Honolulu, HI, USA.ORCID 0000-0001-5013-980X
Meredith A J HullarFred Hutchinson Cancer Research Center, Public Health Sciences Division, Seattle, WA, USA.

Funding

University of Hawaii Cancer Center CCSGP30CA071789 · NCI · UNIVERSITY OF HAWAII AT MANOA · PI Pallav Pokhrel · 1996 to 2026
$56.2M
Understanding Population Differences in Cancer: The MEC StudyU01CA164973 · NCI · UNIVERSITY OF HAWAII AT MANOA · PI HAIMAN, CHRISTOPHER ALAN, LE MARCHAND, LOIC · 2015 to 2025
$37.4M
Recruitment and Data CollectionP01CA168530 · NCI · UNIVERSITY OF HAWAII AT MANOA · PI LE MARCHAND, LOIC · 2012 to 2016
$19.9M
Understanding Ethnic Differences in Cancer: The Multiethnic Cohort StudyUM1CA164973 · NCI · UNIVERSITY OF HAWAII AT MANOA · PI HENDERSON, BRIAN E, LE MARCHAND, LOIC · 2012 to 2014
$11.3M
Multidisciplinary Training in Ethnic Diversity and Cancer DisparitiesT32CA229110 · NCI · UNIVERSITY OF HAWAII AT MANOA · PI HAIMAN, CHRISTOPHER ALAN, LE MARCHAND, LOIC · 2019 to 2023
$2.1M
TMAO, the Gut Microbiome, and Colorectal Cancer Risk in the Multiethnic CohortR01CA204368 · NCI · UNIVERSITY OF HAWAII AT MANOA · PI LAMPE, JOHANNA W, LIM, UNHEE · 2016 to 2019
$1.3M
NCI NIH HHS P01 CA168530NCI NIH HHS P30 CA071789NCI NIH HHS R01 CA204368NCI NIH HHS T32 CA229110NCI NIH HHS U01 CA164973NCI NIH HHS UM1 CA164973
6 · The paper itself

Abstract

backgroundMechanisms linking a proinflammatory diet to obesity remain under investigation. The ability of diet to influence the gut microbiome (GM) in creating chronic low-grade systemic inflammation provides a plausible connection to adiposity.

objectivesAssess whether any associations seen between the Energy-Adjusted Dietary Inflammatory Index (E-DII score), total fat mass, visceral adipose tissue (VAT), or liver fat (percentage volume) operated through the GM or microbial related inflammatory factors, in a multiethnic cross-sectional study.

methodsIn the Multiethnic Cohort-Adiposity Phenotype Study (812 men, 843 women, aged 60-77 y) we tested whether associations between the E-DII and total adiposity, VAT, and liver fat function through the GM, LPS, and high-sensitivity C-reactive protein (hs-CRP). DXA-derived total fat mass, MRI-measured VAT, and MRI-based liver fat were measured. Participants provided stool and fasting blood samples and completed an FFQ. Stool bacterial DNA was amplified and the 16S rRNA gene was sequenced at the V1-V3 region. E-DII score was computed from FFQ data, with a higher E-DII representing a more proinflammatory diet. The associations between E-DII score, GM (10 phyla, 28 genera, α diversity), and adiposity phenotypes were examined using linear regression and mediation analyses, adjusting for confounders.

resultsThere were positive total effects (c) between E-DII and total fat mass (c = 0.68; 95% CI: 0.47, 0.90), VAT (c = 4.61; 95% CI: 2.95, 6.27), and liver fat (c = 0.40; 95% CI: 0.27, 0.53). The association between E-DII score and total fat mass was mediated by LPS, Flavonifractor, [Ruminococcus] gnavus group, and Tyzzerella. The association between E-DII score and ectopic fat occurred indirectly through Fusobacteria, Christensenellaceae R-7 group, Coprococcus 2, Escherichia-Shigella, [Eubacterium] xylanophilum group, Flavonifractor, Lachnoclostridium, [Ruminococcus] gnavus group, Tyzzerella, [Ruminococcus] gnavus group (VAT only), and α diversity (liver fat only). There was no significant association between E-DII score and adiposity phenotype through hs-CRP.

conclusionsAssociations found between E-DII and adiposity phenotypes occurred through the GM and LPS.

Indexed as

AdiposityGastrointestinal MicrobiomeC-Reactive ProteinCross-Sectional StudiesDietFemaleHumansInflammationLipopolysaccharidesMaleObesityPhenotypeRNA, Ribosomal, 16SC-Reactive ProteinLipopolysaccharidesRNA, Ribosomal, 16ScohortC-reactive proteinDietary Inflammatory Indexgut microbiomelipopolysaccharidesliver fatmediationmultiethnictotal adiposityvisceral adipose

Identifiers

PMID34871345
PMCPMC9071464

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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.