Mechanisms of the lysophosphatidic acid‐induced increase in [Ca<sup>2+</sup>]<sub>i</sub>in skeletal muscle cells
Bibliographic record
Abstract
Although lysophosphatidic acid (LPA) is known to increase intracellularfree calcium concentration ([Ca(2+)](i)) in different cell types, the effect of LPA on the skeletal muscle cells is not known. The present study was therefore undertaken to examine the effect of LPA on the [Ca(2+)](i) in C2C12 cells. LPA induced a concentration and time dependent increase in [Ca(2+)](i), which was inhibited by VPC12249, VPC 32183 and dioctanoyl glycerol pyrophosphate, LPA1/3 receptor antagonists. Pertussis toxin, a G(i) protein inhibitor, also inhibited the LPA-induced increase in [Ca(2+)](i). Inhibition of tyrosine kinase activities with tyrphostin A9 and genistein also prevented the increase in [Ca(2+)](i) due to LPA. Likewise, wortmannin and LY 294002, phosphatidylinositol 3-kinase (PI3-K) inhibitors, inhibited [Ca(2+)](i) response to LPA. The LPA effect was also attenuated by ethylene glycolbis(beta-aminoethylether)-N,N,N',N'-tetraacetic acid (EGTA), an extracellular Ca(2+) chelator, Ni(2+) and KB-R7943, inhibitors of the Na(+)-Ca(2+) exchanger; the receptor operated Ca(2+) channel (ROC) blockers, 2-aminoethoxydiphenyl borate and SK&F 96365. However, the L-type Ca(2+) channel blockers, verapamil and diltiazem; the store operated Ca(2+) channel blockers, La(3+) and Gd(3+); a sarcoplasmic reticulum calcium pump inhibitor, thapsigargin; an inositol trisphosphate receptor antagonist, xestospongin and a phospholipase C inhibitor, U73122, did not prevent the increase [Ca(2+)](i) due to LPA. Our data suggest that the LPA-induced increase in [Ca(2+)](i) might occur through G(i)-protein coupled LPA(1/3) receptors that may be linked to tyrosine kinase and PI3-K, and may also involve the Na(+)-Ca(2+) exchanger as well as the ROC. In addition, LPA stimulated C2C12 cell proliferation via PI3-K. Thus, LPA may be an important phospholipid in the regulation of [Ca(2+)](i) and growth of skeletal muscle cells.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".