Evidence map›Paper›PMID 29324859›Full record

ArticlePloS one2018

Magnetic resonance spectroscopy detects differential lipid composition in mammary glands on low fat, high animal fat versus high fructose diets.

Dianning He, Devkumar Mustafi, Xiaobing Fan, Sully Fernandez, Erica Markiewicz, Marta Zamora, Jeffrey Mueller, Joseph R Sachleben, Matthew J Brady, Suzanne D Conzen and 1 more

Open access · goldAbstract readComparative Study
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.1field-weighted citation impact, top 21% 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

5 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. 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

11 authors at 1 institution in 2 countries.

Dianning HeDepartment of Radiology, The University of Chicago, Chicago, Illinois, United States of America.
Devkumar MustafiDepartment of Radiology, The University of Chicago, Chicago, Illinois, United States of America.
Xiaobing FanDepartment of Radiology, The University of Chicago, Chicago, Illinois, United States of America.
Sully FernandezDepartment of Medicine, Section of Adult and Pediatric Endocrinology, Diabetes and Metabolism, The University of Chicago, Chicago, Illinois, United States of America.
Erica MarkiewiczDepartment of Radiology, The University of Chicago, Chicago, Illinois, United States of America.
Marta ZamoraDepartment of Radiology, The University of Chicago, Chicago, Illinois, United States of America.
Jeffrey MuellerDepartment of Pathology, The University of Chicago, Chicago, Illinois, United States of America.
Joseph R SachlebenBiomolecular NMR Core Facility, The University of Chicago, Chicago, Illinois, United States of America.
Matthew J BradyDepartment of Medicine, Section of Adult and Pediatric Endocrinology, Diabetes and Metabolism, The University of Chicago, Chicago, Illinois, United States of America.
Suzanne D ConzenDepartment of Medicine, Hematology/Oncology, Hematology/Oncology, The University of Chicago, Chicago, Illinois, United States of America.
Gregory S KarczmarDepartment of Radiology, The University of Chicago, Chicago, Illinois, United States of America.ORCID 0000-0002-2455-5858
University of Chicago · US

Funding

VIRAL ONCOLOGY CORE FACILITYP30CA014599 · NCI · UNIVERSITY OF CHICAGO · PI KUNLE ODUNSI · 1985 to 2026
$122.1M
Breast Cancer Screening with Quantitative Ultra-Fast DCEMRI and Clinical Risk AssessmentR01CA218700 · NCI · UNIVERSITY OF CHICAGO · PI KARCZMAR, GREGORY S. · 2017 to 2021
$3.0M
Assessment of Breast Cancer Risk with High Spectral and Spatial Resolution MRIR01CA167785 · NCI · UNIVERSITY OF CHICAGO · PI KARCZMAR, GREGORY S., NEWSTEAD, GILLIAN · 2013 to 2017
$2.4M
MRI of Early Non-invasive Rodent Mammary CancersR01CA133490 · NCI · UNIVERSITY OF CHICAGO · PI KARCZMAR, GREGORY S. · 2011 to 2015
$1.6M
NCI NIH HHS P30 CA014599NCI NIH HHS R01 CA133490NCI NIH HHS R01 CA167785NCI NIH HHS R01 CA218700NIH HHS R01 CA133490NIH HHS R01 CA167785NIH HHS R01 CA218700
6 · The paper itself

Abstract

The effects of consumption of different diets on the fatty acid composition in the mammary glands of SV40 T-antigen (Tag) transgenic mice, a well-established model of human triple-negative breast cancer, were investigated with magnetic resonance spectroscopy and spectroscopic imaging. Female C3(1) SV40 Tag transgenic mice (n = 12) were divided into three groups at 4 weeks of age: low fat diet (LFD), high animal fat diet (HAFD), and high fructose diet (HFruD). MRI scans of mammary glands were acquired with a 9.4 T scanner after 8 weeks on the diet. 1H spectra were acquired using point resolved spectroscopy (PRESS) from two 1 mm3 boxes on each side of inguinal mammary gland with no cancers, lymph nodes, or lymph ducts. High spectral and spatial resolution (HiSS) images were also acquired from nine 1-mm slices. A combination of Gaussian and Lorentzian functions was used to fit the spectra. The percentages of poly-unsaturated fatty acids (PUFA), mono-unsaturated fatty acids (MUFA), and saturated fatty acids (SFA) were calculated from each fitted spectrum. Water and fat peak height images (maps) were generated from HiSS data. The results showed that HAFD mice had significantly lower PUFA than both LFD (p < 0.001) and HFruD (p < 0.01) mice. The mammary lipid quantity calculated from 1H spectra was much larger in HAFD mice than in LFD (p = 0.03) but similar to HFruD mice (p = 0.10). The average fat signal intensity over the mammary glands calculated from HiSS fat maps was ~60% higher in HAFD mice than in LFD (p = 0.04) mice. The mean or median of calculated parameters for the HFruD mice were between those for LFD and HAFD mice. Therefore, PRESS spectroscopy and HiSS MRI demonstrated water and fat composition changes in mammary glands due to a Western diet, which was low in potassium, high in sodium, animal fat, and simple carbohydrates. Measurements of PUFA with MRI could be used to evaluate cancer risk, improve cancer detection and diagnosis, and guide preventative therapy.

Indexed as

Dietary SugarsDiet, Fat-RestrictedDiet, High-FatProton Magnetic Resonance SpectroscopyAnimalsFatty AcidsFemaleFructoseMagnetic Resonance ImagingMammary Glands, AnimalMice, TransgenicRandom AllocationDietary SugarsFatty AcidsFructose

Identifiers

PMID29324859
PMCPMC5764316
OpenAlexW2783142481

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.