Distinct β-Arrestin- and G Protein-dependent Pathways for Parathyroid Hormone Receptor-stimulated ERK1/2 Activation
Bibliographic record
Abstract
Parathyroid hormone (PTH) regulates calcium homeostasis via the type I PTH/PTH-related peptide (PTH/PTHrP) receptor (PTH1R). The purpose of the present study was to identify the contributions of distinct signaling mechanisms to PTH-stimulated activation of the mitogen-activated protein kinases (MAPK) ERK1/2. In Human embryonic kidney 293 (HEK293) cells transiently transfected with hPTH1R, PTH stimulated a robust increase in ERK activity. The time course of ERK1/2 activation was biphasic with an early peak at 10 min and a later sustained ERK1/2 activation persisting for greater than 60 min. Pretreatment of HEK293 cells with the PKA inhibitor H89 or the PKC inhibitor GF109203X, individually or in combination reduced the early component of PTH-stimulated ERK activity. However, these inhibitors of second messenger dependent kinases had little effect on the later phase of PTH-stimulated ERK1/2 phosphorylation. This later phase of ERK1/2 activation at 30-60 min was blocked by depletion of cellular beta-arrestin 2 and beta-arrestin 1 by small interfering RNA. Furthermore, stimulation of hPTH1R with PTH analogues, [Trp1]PTHrp-(1-36) and [d-Trp12,Tyr34]PTH-(7-34), selectively activated G(s)/PKA-mediated ERK1/2 activation or G protein-independent/beta-arrestin-dependent ERK1/2 activation, respectively. It is concluded that PTH stimulates ERK1/2 through several distinct signal transduction pathways: an early G protein-dependent pathway meditated by PKA and PKC and a late pathway independent of G proteins mediated through beta-arrestins. These findings imply the existence of distinct active conformations of the hPTH1R responsible for the two pathways, which can be stimulated by unique ligands. Such ligands may have distinct and valuable therapeutic properties.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
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".