Glutathione S-transferase genotype and risk of systemic lupus erythematosus in Koreans
Bibliographic record
Abstract
Oxidative stress caused by poor detoxification efficiency of reactive oxygen species (ROS) may play a role in the development of systemic lupus erythematosus (SLE). Glutathione S-transferase (GST) is involved in the detoxification of ROS and genetic polymorphisms of GSTM1, GSTT1 and GSTP1 are associated with altered enzyme activity. The aim of this study was to determine whether GSTMI (deletion), GSTT1 (deletion) and GSTP1 (Ile(105)-->Val(105)) polymorphisms are associated with susceptibility to SLE or frequency of clinical manifestations according to the ACR diagnostic criteria. DNA was isolated from blood samples collected from 330 patients with SLE and 270 age- and sex-matched controls. GST genotypes were determined by polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) analysis. No associations were observed between GSTM1, GSTT1, and GSTP1 genotypes and risk of SLE. Among SLE patients, the GSTM1 null genotype was associated with a lower frequency of hematological disorders (P = 0.012), and a higher SSA(+)/SSB(-) autoantibody profile (P = 0.042). Compared to SLE patients with the GSTT1 non-null genotype, those with the GSTT1 null genotype had a lower frequency of discoid rash (P = 0.018), and nephritis (P = 0.033). Our findings suggest that genetic polymorphisms of GSTM1, GSTT1, and GSTP1 do not influence the risk of SLE, but a deletion of either GSTM1 or GSTT1 may influence certain clinical manifestations of the disease.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.001 |
| 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) | 0.002 | 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".