Changes in the Plasma Protein Composition in Cosmonauts after Space Flight and its Significance for Endothelial Functions
Bibliographic record
Abstract
Abstract Spaceflight (SF) conditions have a significant impact on the functioning of the human cardiovascular system. The endothelium plays an important role in the process of adaptation to SF factors. Therefore, the detection of biomarkers of endothelial dysfunction is necessary for understanding the molecular mechanisms involved in changes caused by SFs. For this purpose, the blood plasma proteins of 18 Russian cosmonauts were used for quantitative analysis by liquid chromatography with a UPLC 1290 Infinity chromatograph coupled to an Agilent 6490 triple quadrupole mass spectrometer. It was found that a decrease in the circulating plasma volume during the flight followed by the activation of fluid retention at the final stage of flight contributed to the changes in plasma protein concentrations on the first day after landing. We observed a significant increase in the concentration of the S100A9 protein that plays an important role in endothelium functioning and angiogenesis and can serve as a marker of inflammatory reactions. On the first day after landing, the complement system and acute-phase protein concentrations tended to increase, which can adversely affect the functioning of the endothelium.
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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 | 0.000 |
| 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) | 0.001 | 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".