Dexamethasone differentially regulates renal and duodenal calcium‐processing genes in <i>calbindin‐D9k</i> and <i>‐D28k</i> knockout mice
Bibliographic record
Abstract
Glucocorticoids (GCs) appear to downregulate active calcium-transporting genes in the duodenum, resulting in GC-induced calcium-absorbing disorder. In this study, we examined the effects of GCs on calcium-processing genes in the duodenum and kidney and the compensatory mechanism in calbindin-D9k (CaBP-9k) and calbindin-D28k (CaBP-28k) knockout (KO) mice. In the duodenum, we observed compensatory increases in transient receptor potential vanilloid 6 (TRPV6) mRNAs in both calbindin KO mice and CaBP-9k transcripts in CaBP-28k KO mice, and their expressions were decreased by addition of a synthetic GC, dexamethasone (Dex, 10 mg kg(-1)). In addition, the expression of plasma membrane calcium ATPase 1b (PMCA1b) underwent a compensatory increase in CaBP-9k KO mice, and was blocked by Dex, while the mRNA level of duodenal sodium-calcium exchanger 1 was not altered by KO status or Dex. The renal transcriptional levels of TRPV5 in CaBP-9k KO and CaBP-9k in CaBP-28k KO mice were upregulated in a compensatory manner, while the TRPV6 gene was downregulated following treatment with Dex in the kidney of CaBP-28k KO mice. The immunological location of these duodenal proteins as a primary target of Dex-involved regulation was not altered by Dex or KO status. To elucidate potential mechanism(s) of Dex-induced compensatory gene expression, the levels of GC receptor (GR), vitamin D receptor (VDR) and parathyroid hormone receptor (PTHR) mRNA was also measured in these tissues. Duodenal VDR transcripts were induced in a compensatory manner in both types of KO mice, and were decreased by Dex. In addition, serum corticosterone levels in both KO mice were lower than in wild-type mice. In conclusion, these results suggest that duodenal TRPV6 and CaBP-9k genes appear to be a primary target for GC-induced calcium-absorbing disorder, through direct regulation of duodenal VDR transcription.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".