Peroxiredoxin‐2 up‐regulation in inflammatory bowel disease: Friend or foe?
Bibliographic record
Abstract
BACKGROUND: Inflammatory bowel diseases (IBD) are chronic multi-factorial inflammatory disorders. Accumulating investigations have provided compelling evidence that describe the interplay of a complex genetic landscape and inappropriate inflammatory response to intestinal microbes in disease etiopathogenesis but still pose challenges in diagnostic practices. METHOD: In this study, comparative proteomic analysis was conducted to identify disease specific proteins underlying IBD pathogenetic mechanisms. Total blood proteins of the IBD patients and healthy subjects were analyzed with one-dimensional electrophoresis; differentially expressed bands were excised and subjected to matrix-assisted laser desorption ionization-time of flight mass spectrometry along with nanoflow liquid chromatography electrospray ionization-tandem mass spectrometry analysis. Presence of glycosylation, hydroxylation, and phosphorylation post-translational modifications was further investigated by immunoprecipitation. RESULTS: Peroxiredoxin-2 (PRDX2) and hemoglobin-subunits proteins, which are closely involved in the response to oxidative stress, were identified. PRDX2 was selected for further validation using western blot and reverse transcription-polymerase chain reaction. PRDX2 overexpression was restricted to the protein level within the membrane fraction. Immunoprecipitation identified PRDX2 to be post-translationally glycosylated and phosphorylated. CONCLUSION: Our findings demonstrate the implication of PRDX2 in IBD. Future studies are required to establish its functional role and to determine the clinical utility.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".