Longitudinal transcriptomic and epigenetic analysis of the blood in two astronauts
Bibliographic record
Abstract
The space industry has made significant strides, leading to an era of commercial spaceflight. Meanwhile, understanding molecular responses to spaceflight is crucial for astronauts' safety. To this end, we examined transcriptomic and epigenetic changes in two astronauts' blood samples at three timepoints: two weeks before spaceflight (T0), 24 hours after spaceflight (T2), and three months after spaceflight (T3). Transcriptomic analysis identified two gene clusters with opposing transient expression trends post-flight (T2), normalized at T3: one upregulated and the other downregulated. Mapped immune cell types through the CIBERSORT coupled with the pathway analysis suggested monocytes' role in coordinated cellular response. Epigenetic analysis identified four methylation patterns with transient and persistent changes post-flight, enriched in nervous system development and cell apoptosis pathways. Methylation changes implicated genes associated with bone disorders, including FBLIM1, IHH, and SCAMP2. eQTM analysis suggested a link between RNA transcriptional level and DNA methylation through transcriptional regulator ZNF684. In conclusion, our study revealed significant short-term transcriptional and methylation changes as well as long-term methylation changes.
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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 | 0.001 | 0.002 |
| 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".