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Prenatal Iron Deficiency Causes Long‐Term Alterations in Brown Adipose Tissue Quantity and Thermogenic Capacity in Adult Rats

2017· article· en· W4389021126 on OpenAlexafffundabout
Stephane L. Bourque, Stephana J. Cherak, Jihee Yoo, Peter Anto Johnson, Andrew G. Woodman, Sareh Panahi, Ferrante S. Gragasin

Bibliographic record

VenueThe FASEB Journal · 2017
Typearticle
Languageen
FieldMedicine
TopicBirth, Development, and Health
Canadian institutionsUniversity of Alberta
FundersCanadian Institutes of Health Research
KeywordsOffspringBrown adipose tissueEndocrinologyInternal medicineWeaningThermogenesisAdipose tissueCalorieBiologyLitterIron deficiencyGestationPregnancyObesityFetusMedicinePhysiologyAnemia

Abstract

fetched live from OpenAlex

Introduction Fetal exposure to an adverse intrauterine environment can lead to altered growth and developmental trajectories, thereby increasing susceptibility to chronic disease in later life. Iron deficiency (ID) is the most common nutritional disorder in the world, and pregnant women are the most susceptible subgroup. We have shown that prenatal ID programs offspring metabolic function, characterized by an increased propensity for fat accumulation in later life; however, the mechanisms underlying this metabolic function are unknown. Brown adipose tissue (BAT) is highly metabolically active tissue which generates large quantities of heat to maintain core body temperature. The capacity of BAT to burn calories as heat makes it an attractive therapeutic target for obesity. We sought to determine whether prenatal ID predisposes offspring to obesity by chronically altering the thermogenic capacity of BAT, and thus whole body metabolism. Methods Female Sprague Dawley rats were fed either a control or an iron‐restricted (3–10 ppm iron) diet prior to and throughout gestation. At birth, dams were fed a normal rat chow, and pups were subsequently fed a high‐fat/high‐sucrose diet at weaning (postnatal day 21). At 4wk of age, one male and female offspring from each litter were subjected to a chronic cold exposure protocol (4°C, 12h/day, 5wk) to stimulate brown fat, and one male and female littermate were maintained at room temperature (22°C). Metabolic parameters were analyzed in vivo via open‐circuit indirect calorimetry. Maximal thermogenic capacity from BAT was assessed following pharmacological stimulation with the β3 agonist CL316,243. Results Prenatal ID caused lower body weights in offspring from birth until 4wk of age, but both male and female offspring exhibited catch‐up growth when fed the high‐fat/high‐sucrose diet. Cold exposure increased BAT mass in all offspring (P<0.001), and this correlated with increased thermogenic capacity in all offspring (P<0.001). Whereas cold exposure had minimal effects on control offspring body weight and body composition, cold exposure prevented body weight and fat mass gain in male PID offspring (P<0.001), but not in female PID offspring. Conclusions Prenatal ID causes sex‐specific programming of body composition and BAT function in the offspring. BAT may therefore represent an attractive target for therapeutic intervention to prevent the obesity and metabolic function caused by early stressors such as prenatal ID. Support or Funding Information This research has been facilitated by the Women and Children's Health Research Institute through the generosity of the Stollery Children's Hospital Foundation and supporters of the Lois Hole Hospital for Women, and the Canadian Institutes of Health Research.

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 score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.052
GPT teacher head0.313
Teacher spread0.261 · 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
Published2017
Admission routes3
Has abstractyes

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