Evidence map›Paper›PMID 23735174›Full record

ArticleCytokine2013

Linking inflammation to tumorigenesis in a mouse model of high-fat-diet-enhanced colon cancer.

Stani D Day, Reilly T Enos, Jamie L McClellan, J L Steiner, Kandy T Velázquez, E A Murphy

Abstract read
In one paragraph

Article in Cytokine, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 53 papers.

0numbers the graph read from it
0cells of the map it votes in
53citing papers in PubMed
3.5field-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

53 citing papers in PubMed, 85 citations in OpenAlex.

  1. Murine Models of Obesity-Related Cancer Risk.Cancer prevention research (Philadelphia, Pa.) · 2025
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  20. Baicalein, an enteric microbial metabolite, suppresses gut inflammation and cancer progression in ApcClinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2020
    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

6 authors at 1 institution in 1 country.

Stani D DayDepartment of Pathology, Microbiology & Immunology, School of Medicine, University of South Carolina, Columbia, SC 29209, USA. Electronic address: sgilmer@erskine.edu.
Reilly T Enos
Jamie L McClellan
J L Steiner
Kandy T Velázquez
E A Murphy
University of South Carolina · US

Funding

Targeting early ceramide elevation in pre-symptomatic eczemaP20GM103641 · NIGMS · UNIVERSITY OF SOUTH CAROLINA AT COLUMBIA · PI ENOS, REILLY, NAGARKATTI, PRAKASH S · 2012 to 2023
$20.7M
UofSC Postbaccalaureate Research Education ProgramR25GM066526 · NIGMS · UNIVERSITY OF SOUTH CAROLINA AT COLUMBIA · PI ARMSTRONG, ALISSA RICHMOND, ELY, BERT · 2004 to 2024
$5.4M
University of South Carolina Initiative for Maximizing Student DevelopmentR25GM076277 · NIGMS · UNIVERSITY OF SOUTH CAROLINA AT COLUMBIA · PI ELY, BERT · 2006 to 2015
$2.6M
Macrophages in High Fat Diet Enhanced Colorectal Cancer: Regulation by miRNA-155R21CA167058 · NCI · UNIVERSITY OF SOUTH CAROLINA AT COLUMBIA · PI MURPHY, ELIZABETH ANGELA · 2013 to 2014
$323k
NCI NIH HHS R21 CA167058NCI NIH HHS R21CA167058NIGMS NIH HHS P20 GM103641NIGMS NIH HHS P20GM103641NIGMS NIH HHS R25 GM066526NIGMS NIH HHS R25 GM076277
6 · The paper itself

Abstract

Many observational epidemiologic studies suggest an association between high-fat-diet (HFD) and colon cancer risk. However, the lack of controlled experimental studies that examine this relationship and the mechanisms involved weaken the basis for inferring a causal relationship. Inflammation plays a role in colon cancer progression and HFDs have been reported to increase inflammation; however, the inflammatory effects of HFD in colon cancer have yet to be firmly established. We examined the effects of a novel HFD that closely mimics the standard American diet (12% and 40% of total caloric intake from saturated fat and total fat, respectively) on macrophage markers and inflammatory mediators in a mouse model of intestinal tumorigenesis and relate this to polyp characteristics as well as measures of adiposity. Male Apc(Min/+) mice (7-8/group) were fed a Control Diet (Con) or novel high-fat-diet (HFD) from 4 to 12weeks of age. Body weight and body composition were measured weekly and monthly, respectively. Intestinal tissue was analyzed for polyp burden (number and size). Gene expression of macrophage markers and inflammatory mediators were examined in the adipose tissue and polyps. The HFD increased the expression of macrophage markers and inflammatory mediators in the adipose tissue (F4/80, CD11c, TLR-4 and MCP-1) and tumor microenvironment (IL-12, MCP-1, IL-6 and TNF-α). As expected, the HFD increased body weight, body fat percent, fat mass and blood glucose (P<0.05), and was associated with an increase in the number of large polyps (P<0.05) but not total polyps. In summary, consumption of a HFD, similar in macronutrient composition to the standard American diet, altered the expression of macrophage phenotypic markers and inflammatory mediators in adipose tissue and intestinal polyps and this was associated with increased tumorigenesis.

Indexed as

Diet, High-FatAdipose TissueAnimalsAntigens, DifferentiationBiomarkersBlood GlucoseBody CompositionBody WeightCarcinogenesisCD11c AntigenChemokine CCL2Colonic NeoplasmsColonic PolypsDietGene ExpressionInflammationAntigens, DifferentiationBiomarkersBlood GlucoseCcl2 protein, mouseCD11c AntigenChemokine CCL2Inflammation MediatorsInterleukin-12Interleukin-6monocyte-macrophage differentiation antigenTlr4 protein, mouseToll-Like Receptor 4Tumor Necrosis Factor-alphaHigh-fat-dietInflammationIntestinal tumorigenesisMacrophagesObesity

Identifiers

PMID23735174
PMCPMC4826024
OpenAlexW1986744559

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.