Identification of Nitroxyl-induced Modifications in Human Platelet Proteins Using a Novel Mass Spectrometric Detection Method
Bibliographic record
Abstract
Nitroxyl (HNO) exhibits many important pharmacological effects, including inhibition of platelet aggregation, and the HNO donor Angeli's salt has been proposed as a potential therapeutic agent in the treatment of many diseases including heart failure and alcoholism. Despite this, little is known about the mechanism of action of HNO, and its effects are rarely linked to specific protein targets of HNO or to the actual chemical changes that proteins undergo when in contact with HNO. Here we study the presumed major molecular target of HNO within the body: protein thiols. Cysteine-containing tryptic peptides were reacted with HNO, generating the sulfinamide modification and, to a lesser extent, disulfide linkages with no other long lived intermediates or side products. The sulfinamide modification was subjected to a comprehensive tandem mass spectrometric analysis including MS/MS by CID and electron capture dissociation as well as an MS(3) analysis. These studies revealed a characteristic neutral loss of HS(O)NH2 (65 Da) that is liberated from the modified cysteine upon CID and can be monitored by mass spectrometry. Upon storage, partial conversion of the sulfinamide to sulfinic acid was observed, leading to coinciding neutral losses of 65 and 66 Da (HS(O)OH). Validation of the method was conducted using a targeted study of nitroxylated glyceraldehyde-3-phosphate dehydrogenase extracted from Angeli's salt-treated human platelets. In these ex vivo experiments, the sample preparation process resulted in complete conversion of sulfinamide to sulfinic acid, making this the sole subject of further ex vivo studies. A global proteomics analysis to discover platelet proteins that carry nitroxyl-induced modifications and a mass spectrometric HNO dose-response analysis of the modified proteins were conducted to gain insight into the specificity and selectivity of this modification. These methods identified 10 proteins that are modified dose dependently in response to HNO, whose functions range from metabolism and cytoskeletal rearrangement to signal transduction, providing for the first time a possible mechanistic link between HNO-induced modification and the physiological effects of HNO donors in platelets.
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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) | 0.001 | 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 | 0.001 | 0.001 |
| 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 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".