New insights in the regulation of the epithelial magnesium channel in TRPM6 in kidney and intestine.
Bibliographic record
Abstract
The overall aim of the research presented in this thesis was to elucidate the molecular mechanisms of active Mg2+ (re)absorption, and therefore the maintenance of the Mg2+ balance in health and disease. This thesis described the identification of factors regulating TRPM6 and the discovery of EGF as an autocrine/paracrine hormone essential for maintenance of the body Mg2+ balance by regulating renal Mg2+ handling. Herewith, a major step is taken towards elucidation of the mechanisms which regulate Mg2+ homeostasis. Future studies directed to disclose the molecular mechanisms and (hormonal) factors that regulate transepithelial Mg2+ transport will certainly contribute to a better understanding of Mg2+ homeostasis. Increased knowledge of molecular and cellular aspects of Mg2+ homeostasis may lead to a better treatment of patients with Mg2+ deficiencies that is directed towards correcting the underlying functional defect(s). This will be of great benefit to patients because of the adverse symptoms resulting from hypomagnesemia, such as tetany, prolonged QT interval and cardiac arrhythmias. In addition, it might help to explain and provide new treatment strategies for unknown Mg2+ wasting disorders and its association with common chronic diseases such as cardiovascular diseases and diabetes.
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 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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".