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Record W2588781153

DIET INDUCED OBESITY IS ASSOCIATED WITH INCREASED INTRAMUSCULAR FAT IN THE RECTUS FEMORIS OF RATS

2014· article· en· W2588781153 on OpenAlexvenueno aff
Violet Campbell, Ruth A. Seerattan, Kelsey H. Collins, Walter Herzog

Bibliographic record

VenueJournal of undergraduate research in Alberta · 2014
Typearticle
Languageen
FieldMedicine
TopicAdipose Tissue and Metabolism
Canadian institutionsnot available
Fundersnot available
KeywordsIntramuscular fatObesityInternal medicineEndocrinologyMedicineAdipose tissueH&E stainFrozen section procedureChemistrySurgeryImmunohistochemistryBiochemistry
DOInot available

Abstract

fetched live from OpenAlex

INTRODUCTION A certain amount of fat is necessary for good health [1]. Excess fat is stored in fat cells that can become too large and die, causing a cascade of damaging catabolic inflammatory events [2]. Fat stored in muscle tissue due to disease, injury, age, inactivity, and obesity has been linked to metabolic dysfunction, muscle dysfunction, and mobility dysfunction [3]. Intramuscular fat is commonly quantified using a histological approach where paraffin sections are stained with hematoxylin and eosin (H&E). During this process fat is typically dissolved during a clearing step. Empty white vacuoles are presumed to be fat cells. Oil Red O (ORO) is considered the gold standard for fat staining. ORO is a fat soluble dye used on frozen sections where fat is typically preserved. The purpose of this project was to compare the ORO frozen fat quantification protocol to the H&E frozen fat approximation, and to examine the effects of a high fat/high sucrose diet and resultant obesity on intramuscular fat in the rectus femoris muscle of Sprague Dawley rats. We hypothesized that the H&E frozen approximation protocol would give similar fat percentages to those of the ORO frozen fat quantification, and that there would be an increase of intramuscular fat in the rectus femoris muscle of obese compared to lean rats. METHODS Twenty one rectus femoris muscles were harvested from 10 month old male Sprague Dawley rats. Some (n=12) of these rats were randomized to a high fat/high sucrose diet induced obesity group and received this diet for 6 months. The rest of the animals (n=9) were fed standard chow. The tissue was fixed in 10% formalin. A section from the mid belly of the tissue was cut, mounted in OCT compound, frozen in liquid nitrogen, and stored at -80 degrees. 10µm sections were cut using a cryostat at -20 degrees, and dried on slides at room temperature. Alternate slides were then stained with ORO stock solution (2.5g ORO and 400mL 99% isopropanol, heated and stirred for 2 hours, sit overnight), and ORO working solution (3 ORO stock: 2 distilled water, refrigerated at 4 degrees for 10 minutes). Sections were rinsed in distilled water for 3x5 minutes each, quickly rinsed in 60% isopropanol, stained for 20 minutes in the ORO working solution, then quickly rinsed in 60% isopropanol, followed by distilled water. Sections were counterstained for 1 minute in Harris hematoxylin, rinsed in tap water, and coverslipped with glycerol gelatin. The rest of the slides were stained with a standard H&E protocol. ORO sections were then imaged at 5x magnification and images were analyzed using a custom MatLab program. Statistical comparisons of the obese and lean rat’s ORO identified fat percentages were made using Kruskal-Wallis tests with α=0.05. RESULTS Visually the H&E frozen fat approximation protocol did not reveal similar fat identification to that of the ORO frozen fat quantification. ORO also highlighted more profiles that appeared to be associated with blood vessels and some localization of lipids within small muscle fibers that was not obvious in the H&E stained sections. Based on the ORO identified fat percentages the intramuscular fat content in the obese rats was statistically greater than the intramuscular fat in the lean rats (p<0.05). DISCUSSION AND CONCLUSIONS From these results the ORO frozen fat quantification is an improved method when compared to the H&E frozen fat approximation. From the ORO pilot results, it also seems that there is an increase of intramuscular fat in the rectus femoris muscle of the obese rats compared to the lean rats.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.057
GPT teacher head0.349
Teacher spread0.292 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2014
Admission routes1
Has abstractyes

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