Correlation of plasma lipidomic profiles with cardiometabolic disease in transfusion-dependent thalassemia patients with six-month N-acetylcysteine intervention: A prospective cohort study
Bibliographic record
Abstract
OBJECTIVES: Oxidative stress, driven by iron imbalance from recurrent blood transfusions, is a major contributor to cardiometabolic complications in transfusion-dependent thalassemia (TDT). N-acetylcysteine (NAC), a glutathione precursor, is a well-known antioxidant with cardioprotective effects achieved by mitigating the impact of oxidative stress on cell metabolism. Current study aimed to evaluate the effect of a six-month NAC intervention by focusing on previously reported changes in the plasma lipidome in TDT patients. Design & Methods A randomized cohort of 62 Thai TDT patients was divided into two groups: both received six months of cocktail therapy involving standardized blood transfusions and iron chelator therapy, with the intervention group additionally receiving 600 mg oral NAC daily and the control group receiving a placebo. Plasma lipidomic profiling was performed using mass spectrometry to assess 339 previously annotated lipid features significantly altered in TDT patients. Clinical parameters, including heart rate variability (HRV), were measured before and after the intervention. RESULTS: NAC treatment significantly altered 152 plasma lipid features (P < 0.03), 78 of which were also altered in the placebo group. Importantly, 29 lipid features (26 unique lipids) were restored toward healthy control levels following NAC treatment. Within this subset, circulating diacylglycerophosphocholines PC(14:0_20:4) and cholesteryl ester CE 18:3 positively correlated with HRV, a clinical marker markedly improved in NAC-treated patients. CONCLUSIONS: Six-month oral NAC intervention modified the plasma lipidomic profile in TDT patients, partially restoring lipid species likely disrupted by chronic oxidative stress. The observed correlation between NAC-responsive lipids and improved HRV suggests a potential cardioprotective effect. These findings highlight the potential of NAC as an adjunctive therapy to mitigate cardiometabolic complications in TDT.
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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".