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Erythrocyte membrane fluidity and haemoglobin haemoporphyrin conformation: features revealed in patients with heart failure

2005· article· en· W2008858228 on OpenAlexaff
О. В. Родненков, O. G. Luneva, N. Ulyanova, Г. В. Максимов, A. B. Rubin, Sergei N. Orlov, E. I. Chazov

Bibliographic record

VenuePathophysiology · 2005
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicHemoglobin structure and function
Canadian institutionsHôtel-Dieu de MontréalUniversité de Montréal
Fundersnot available
KeywordsMembrane fluidityChemistryElectron paramagnetic resonanceMembraneHeart failureNitric oxideOxygenInternal medicineBiophysicsBiochemistryNuclear magnetic resonanceBiologyMedicineOrganic chemistry

Abstract

fetched live from OpenAlex

This study examined the possible involvement of abnormal erythrocyte oxygen (O(2)) transport in the pathogenesis of heart failure. Haemoglobin (Hb) haemoporphyrin conformation was assessed by Raman spectroscopy (RS) of blood samples, whereas membrane fluidity was estimated at depths of 0.6-0.8 and 2.2nm by electron-paramagnetic resonance spectroscopy of erythrocytes loaded with spin-labeled 5-doxylstearic acid and 16-doxylstearic acid, respectively. The fluidity of erythrocyte membranes from patients with heart failure was decreased in the area near the membrane surface and remained unchanged in the deeper hydrophobic membrane regions. The same differences were also detected in healthy controls subjected to chronic high-altitude hypoxia. RS demonstrated that in heart failure the total content of Hb-ligand complexes and the relative content of Hb-nitric oxide (NO) complexes with cleaved Fe(2+)-globin bond was decreased, whereas content of Hb-NO complexes with preserved Fe(2+)-globin bond was increased. We propose that this phenomenon contributes to the reduced O(2) tissue supply seen in patients with heart failure.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.000
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 head0.003
GPT teacher head0.191
Teacher spread0.188 · 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 source (direct Gemma or distilled Codex), not a consensus.

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

Citations31
Published2005
Admission routes1
Has abstractyes

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