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Prenatal Iron Deficiency Causes Fetal Kidney Hypoxia and Sex‐Dependent Upregulation of Cytochrome <i>c</i> Oxidase

2017· article· en· W4389022843 on OpenAlexaffabout
Andrew G. Woodman, Richard Mah, Hélène Lemieux, Stephane L. Bourque

Bibliographic record

VenueThe FASEB Journal · 2017
Typearticle
Languageen
FieldMedicine
TopicPregnancy and preeclampsia studies
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsFetusFerritinPregnancyHypoxia (environmental)Internal medicineEndocrinologyAnemiaKidneyPhysiologyMedicineGestationIron deficiencyOffspringBiologyAndrologyChemistry

Abstract

fetched live from OpenAlex

Introduction Iron deficiency (ID) is the most prevalent nutritional deficiency worldwide, and affects populations across the socioeconomic spectrum. The incidence of ID anemia in pregnant women is of chief concern, with rates estimated to be 50–80% in developing countries, and 30% in western countries. Our group and others have shown that prenatal ID causes intrauterine growth restriction, to which the kidney is particularly vulnerable, although the precise mechanisms underlying the altered developmental and growth trajectories are unknown. Objective Here, we sought to determine whether prenatal ID causes fetal kidney hypoxia, cell death, and mitochondrial dysfunction, and whether such outcomes are sex‐specific. Methods Six and 12‐week old female rats (severe and moderate ID groups, respectively) were fed either a low iron (3 mg/kg diet) or iron‐replete (35 mg/kg diet) diet throughout pregnancy. Dams were treated with pimonidazole on gestational day (GD)20 to assess tissue hypoxia. Pregnant dams and fetuses were euthanized on GD21, and hematological indices of iron status were assessed. TUNEL was performed on fetal kidneys to assess apoptosis, and kidney morphology was assessed in stained tissue sections. Finally, high‐resolution respirometry was used to assess integrated mitochondrial function in fetal kidney homogenates. Results Maternal iron restriction resulted in 17% (P<0.01) and 48% reductions (P<0.001) in maternal hemoglobin (Hb) in the moderate (M‐ID) and severe (S‐ID) groups on GD21, respectively. While maternal plasma transferrin and ferritin levels were not altered in M‐ID, S‐ID maternal plasma ferritin decreased 75% (P<0.01) and plasma transferrin increased 25% (P<0.05). M‐ and S‐ID resulted in 39% and 65% decreases in fetal Hb (both P<0.001), which was accompanied by asymmetric fetal growth restriction, an effect more pronounced in the S‐ID group. Evidence of hypoxia was present in kidneys of both M‐ and S‐ID fetuses (both P<0.01). Female fetal kidneys in both M‐ and S‐ID groups exhibited upregulation of cytochrome c oxidase activity versus controls (both P<0.05), whereas males did not. Interestingly, S‐ID male kidneys exhibited increased apoptosis compared to controls (P=0.01), whereas females did not (P=0.86). Despite the above observations, no differences in glomerular size or density were observed in male or female S‐ID fetuses on GD21. Conclusions Both moderate and severe ID cause hypoxia and sex dependent upregulation of cytochrome c oxidase in fetal kidneys. Interestingly, fetal kidneys of ID females which upregulate cytochrome c oxidase do not become apoptotic like their male counterparts. These findings may provide insight into the sex‐specific programming of hypertension and renal dysfunction by prenatal ID. Support or Funding Information AW holds graduate studentships from Alberta Innovates Health Solutions (AIHS) and the Canadian Institutes of Health Research (CIHR); RM held a Heritage Youth Researcher Summer Studentship funded by AIHS; SB holds a CIHR New Investigator award. This work is supported by grants from CIHR and the Women and Children's Health Research Institute.

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 score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.022
GPT teacher head0.267
Teacher spread0.245 · 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 routes2
Has abstractyes

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