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Record W2803423465 · doi:10.1134/s1990747818020125

Hemolysis and ATP Release from Human and Rat Erythrocytes under Conditions of Hypoxia: A Comparative Study

2018· article· en· W2803423465 on OpenAlexaff
Svetlana V. Sidorenko, Oksana Luneva, T. S. Novozhilova, Н. В. Алексеева, О. В. Родненков, Л. И. Деев, Г. В. Максимов, Ryszard Grygorczyk, Sergei N. Orlov

Bibliographic record

VenueBiochemistry (Moscow) Supplement Series A Membrane and Cell Biology · 2018
Typearticle
Languageen
FieldMedicine
TopicErythrocyte Function and Pathophysiology
Canadian institutionsUniversité de Montréal
FundersRussian Foundation for Basic Research
KeywordsHemolysisHypoxia (environmental)ChemistryAdenosine triphosphateBiochemistryMedicineInternal medicineOxygen

Abstract

fetched live from OpenAlex

Red blood cells are involved not only in transportation of oxygen and carbon dioxide but also in autoregulation of vascular tone by ATP release in hypoxic conditions. Molecular mechanisms of the ATP release from red blood cells in response to a decrease in partial oxygen pressure still remain to be elucidated. In this work we have studied effects of hypoxia on red blood cell hemolysis in humans and rats and compared the effects of inhibitors of ecto-ATPase and pannexin on the release of ATP and hemoglobin from rat erythrocytes. The 20-min hypoxia at 37°C increased hemolysis of red blood cells in humans and rats 1.5- and 2.5-fold, respectively. In rat erythrocytes a significant increase in hypoxia-induced extracellular ATP level was found only in the presence of ecto-ATPase inhibitor ARL 67156. In these conditions we observed a positive correlation ( R 2 = 0.5003) between the increase in free hemoglobin concentration and the ATP release. Neither carbenoxolon nor probenecid, the inhibitors of low-selectivity pannexin channels, altered the hypoxia-induced ATP release from rat erythrocytes. The obtained results indicate a key role of hemolysis in the ATP release from red blood cells.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.020
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.021
GPT teacher head0.288
Teacher spread0.267 · 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.

Study designBench or experimental
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

Citations4
Published2018
Admission routes1
Has abstractyes

Explore more

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