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 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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 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 | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".