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Regulation of Calcium Transport Pathways in Kidney and Intestine During Lactation

2016· article· en· W2567500997 on OpenAlexafffundabout
Henrik Dimke, Megan R. Beggs, R. Todd Alexander

Bibliographic record

VenueThe FASEB Journal · 2016
Typearticle
Languageen
FieldNursing
TopicInfant Nutrition and Health
Canadian institutionsUniversity of Alberta
FundersLundbeckfondenCarlsbergfondetKidney Foundation of Canada
KeywordsLactationCalciumKidneyChemistryEndocrinologyInternal medicineBiologyMedicinePregnancyGenetics

Abstract

fetched live from OpenAlex

Significant alterations in maternal calcium balance occur postpartum during lactation. Demineralization of the skeleton mobilizes calcium, in order to supply this mineral to the neonate via breast milk. Changes in intestinal and renal calcium transport processes also promote this. However, the specific molecular alterations in transcellular and paracellular calcium transport pathways across renal and intestinal epithelia during lactation have not been fully delineated. To ascertain which changes occur during lactation, female mice were divided into 3 groups, non‐pregnant controls, lactating mice with litters maintained for 12 days after birth, or mice undergoing involution with litters removed after birth and maintained for 12 days. Induction of lactogenesis was confirmed histologically in mammary fat pads. Bodyweight increased in lactating mice as did urinary volume, measured during 9‐hr collections performed on day 11. Both total urinary excretion and fractional excretion of calcium and magnesium were elevated during lactation. Enlargement of the intestinal tract was confirmed visually in lactating animals. Renal 1‐alpha hydroxylase and 24‐OHase mRNA expression increased dramatically. This was accompanied by significant increases in the gene expression of Trpv6 and Calbindin‐D 9K in duodenum and proximal large bowel of lactating mice. No significant alterations in the calcium permeable claudins (−2, −12 or −15) were observed in any intestinal segments. A similar gene expression profile was observed in kidney, which showed no change in claudins (−2, −12, −14, −15, −16 or −19), while marked increases in Trpv5 and Calbindin‐D 28K were observed. Increased Calbindin‐D 28K protein expression was found by immunohistochemical analysis, while no changes in claudin‐2 were noted, in line with observations from mRNA expression analysis. In conclusion, proteins driving transcellular calcium transport pathways increase during lactation, likely due to increased Vitamin D dependent‐stimulation, while proteins mediating paracellular transport appear unchanged. Increased urinary mineral excretion can be explained on the basis of intestinal hyperabsorption and bone demineralization, although selective calcium uptake is maintained in kidney. Support or Funding Information This work was funded by grants from the Novo Nordisk Foundation (HD), the Carlsberg Foundation (HD), the A.P. Møller Foundation (HD), the Lundbeck foundation (HD), the Kidney Foundation of Canada (RTA), and the Canadian Institute of Health Research (CIHR) (RTA). A Clinician Scientist Award from CIHR and an Alberta Innovates Health Solutions Clinical Investigator Award supports Dr. R.T. Alexander.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.002

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 integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.027
GPT teacher head0.268
Teacher spread0.241 · 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 designObservational
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".

Quick stats

Citations0
Published2016
Admission routes3
Has abstractyes

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