2410.10145
EXAMINING THE LINK BETWEEN PEROXIREDOXIN PROTEINS AND MUTUALLY EXCLUSIVE TRANSCRIPTION FACTOR ACTIVATION WITH A MATHEMATICAL MODEL
Zachary Allen Schlamowitz
incompletemedium confidence
- Category
- Not specified
- Journal tier
- Specialist/Solid
- Processed
- Sep 28, 2025, 12:56 AM
- arXiv Links
- Abstract ↗PDF ↗
Audit review
The paper establishes, via ODE simulations, three core qualitative claims: a staggered, sigmoidal dose–response with three regimes at a fixed timepoint (creating regions below/ between/ above the PrxII and PrxI hyperoxidation thresholds), early-time co-activation of PrxI/II disulfide signaling at low doses, and asymmetric knockout shifts with pool-size rescue; all are clearly described in the PDF’s Results and Predictions sections . However, these are presented as proof-of-principle simulations rather than mathematical theorems and the authors themselves acknowledge model limitations and a biochemistry mismatch in kOx handling . The candidate model solution correctly formalizes the first and third claims under minimal monotonicity/continuity assumptions, but its Phase-2 argument (uniform early-time co-activation) tacitly assumes s_i(D,0)>0 and gives a derivative-bound alternative that does not suffice to ensure positivity unless a strictly positive one-sided time-derivative is also imposed. Thus, both are incomplete: the paper for lack of formal proofs and unresolved modeling caveats, and the model for a technical gap in Task 2.
Referee report (LaTeX)
\textbf{Recommendation:} major revisions \textbf{Journal Tier:} specialist/solid \textbf{Justification:} The manuscript offers a timely, simulation-based proof-of-principle that staggered Prx hyperoxidation can encode dose information into transcriptional regimes and makes concrete knockout/pool-size predictions. However, key kinetic uncertainties (e.g., indistinguishable kOx for PrxI/II) and the absence of sensitivity and robustness analyses limit interpretability. Strengthening parameter justification, clarifying the mapping from hyperoxidation/disulfide metrics to transcriptional outputs, and reporting uncertainty on thresholds would materially improve the work.