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Record W2141724967 · doi:10.1113/jphysiol.2013.265264

Rebuttal from Sergei N. Orlov, Michael M. Model and Ryszard Grygorczyk

2013· letter· en· W2141724967 on OpenAlexaff
Sergei N. Orlov, Michael A. Model, Ryszard Grygorczyk

Bibliographic record

VenueThe Journal of Physiology · 2013
Typeletter
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicIon Transport and Channel Regulation
Canadian institutionsCentre Hospitalier de l’Université de Montréal
Fundersnot available
KeywordsApoptosisProgrammed cell deathRebuttalOuabainJurkat cellsVascular smooth muscleNecrosisChemistrySmooth musclePhilosophyCell biologyBiologyMedicineInternal medicineT cellBiochemistryImmunologyPolitical scienceSodiumImmune systemLaw

Abstract

fetched live from OpenAlex

We agree with the title of the counter-argument article by Florian Lang and Else Hoffmann, Cell volume changes are essential step in the cell death machinery (Lang & Hoffmann, 2013), albeit with one important proviso: this statement is true for selected rather than for all cell types and cell death stimuli. Indeed, as shown in the major section of our paper as well as in our recent review (Orlov et al. 2013), cell volume perturbations do not contribute to the triggering or progression of the cell death machinery in several types of cells, including serum-deprived vascular smooth muscle cells (VSMC) or ouabain-treated renal epithelial cells, possessing biochemical markers of apoptosis and necrosis, respectively (Orlov et al. 1999a; Platonova et al. 2011). The proapoptotic action of ouabain documented in Fas-ligand treated Jurkat cells (Panayiotidis et al. 2010) contradicts its antiapoptotic action in rat VSMC (Orlov et al. 1999b). We also would like to point out methodological limitations of several studies cited in the counter argument article. Thus, in demonstrating that pro-caspase-3 activity (Bortner et al. 1997) and DNA degradation (Ajiro et al. 2008) is inhibited by high-K+ medium, the authors did not employ high-Na+ medium as a negative control. This comment seems to be important because in vascular smooth muscle cells, the pro-caspase-3 activity is equally inhibited by elevation of [KCl] and [NaCl], thus showing that augmented ionic strength rather than elevated [Na+]i/[K+]i ratio occurring in dying cells is responsible for the effect. The death of U937 and HeLa cells documented in Cl−-depleted medium (Maeno et al. 2006) might be caused by modulation of the activity of diverse [Cl−]i-sensitive enzymes (Orlov & Hamet, 2006) rather than by inhibition of inwardly directed Na+–K+–2Cl− cotransporter NKCC1 and cell shrinkage. Indeed, to the best of our knowledge, there are no reports of cell death triggered by sustained exposure to bumetanide or other potent NKCC1 inhibitors. Readers are invited to give their views on this and the accompanying CrossTalk articles in this issue by submitting a brief comment. Comments may be posted up to 6 weeks after publication of the article, at which point the discussion will close and authors will be invited to submit a ‘final word'. To submit a comment, go to http://jp.physoc.org/letters/submit/jphysiol;591/24/6129 Please note: The publisher is not responsible for the content or functionality of any supporting information supplied by the authors. Any queries (other than missing content) should be directed to the corresponding author for the article.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.430
Threshold uncertainty score0.607

Codex and Gemma teacher scores by category

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 integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.010
GPT teacher head0.209
Teacher spread0.199 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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

Citations1
Published2013
Admission routes1
Has abstractyes

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