Existence of Compensatory Defense Mechanisms Against Oxidative Stress and Hypertension in Preeclampsia
Bibliographic record
Abstract
OBJECTIVE: Preeclampsia is a complex obstetrical syndrome characterized by hypertension and proteinuria. This syndrome is associated with oxidative stress, antioxidant imbalance and impaired production of vasoactive eicosanoids such as thromboxane A(2) (TXA(2)), a potent vasoconstrictor, and prostacyclin (PGI(2)), a well-known vasodilator. We hypothesized that there was a relationship between antioxidant vitamins, such as vitamin E and coenzyme Q(10) (CoQ(10)), and the production of vasoactive eicosanoids- PGI(2) and TXA(2)-potentially regulated by pro-oxidants and antioxidants in preeclampsia. METHODS: Therefore, the plasma levels of vitamin E, CoQ(10), TXA(2) and PGI(2) in normotensive (n = 30) and preeclamptic (n = 29) pregnancies were evaluated. Reduced and oxidized forms of vitamin E and CoQ(10) in blood were measured using a HPLC coupled to electrochemical detection. The levels of TXB(2) and 6-keto-PGF(1alpha), stable metabolites of TXA(2) and PGI(2) respectively, were measured by ELISA. RESULTS: The CoQ(10) oxidized/reduced ratio was significantly higher in preeclamptic compared to normotensive pregnancies (p = 0.04). A strong correlation between plasma levels of reduced vitamin E and CoQ(10), corrected for apolipoprotein B, was observed only in preeclampsia (r = 0.69, p < 0.0001). The 6-keto-PGF(1alpha)/TXB(2) ratio was higher in preeclampsia than in controls (p = 0.02), and this ratio was correlated to the oxidized/reduced ratio of both, vitamin E and CoQ(10) in all pregnancies (p <0.023). CONCLUSION: The data indicated that CoQ(10) is a sensitive marker of oxidative stress in preeclampsia. The correlation between vitamin E and CoQ(10) suggested a coordinated defense mechanism against oxidation. Furthermore, the higher 6-keto-PGF(1alpha)/TXB(2) ratio that strongly correlated with oxidative stress markers, suggests a mechanism developed by the maternal cardiovascular system to counteract hypertension during preeclampsia.
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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 | 0.000 | 0.000 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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 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".