Variants of <i>HSPA1A </i>in Combination with Plasma Hsp70 and Anti-Hsp70 Antibody Levels Associated with Higher Risk of Acute Coronary Syndrome
Bibliographic record
Abstract
OBJECTIVES: It was the aim of our study to investigate whether polymorphisms of HSP70 have an affect on antigen and antibody levels in acute coronary syndrome (ACS) patients and normal controls, and the possible joint effect of variants and antigen and antibody levels on the risk of ACS. METHODS: Three single nucleotide polymorphisms of HSPA1A and HSPA1L were evaluated in 520 ACS patients and 520 age- and sex-matched controls. Plasma extracellular Hsp70 (eHsp70) and anti-Hsp70 antibody levels were determined using ELISA. RESULTS: Individuals with +190G/C (rs1043618) CC genotype in HSPA1A had higher levels of eHsp70 in controls and lower levels of anti-Hsp70 body in ACS, compared with +190G/C GG carriers. Significantly increased ACS risks of 2.93 and 3.53 fold were found in subjects with the +190G/C CC genotype and high eHsp70 levels or low anti-Hsp70 antibody levels, respectively. The highest risk of ACS was found in subjects with +190G/C CC genotypes, high eHsp70 and low anti-Hsp70 antibody levels compared with those in the reference group (OR = 7.57, 95% CI 3.04-18.87). CONCLUSIONS: The +190G/C polymorphism of HSPA1A may contribute to influence eHsp70 levels in controls and anti-Hsp70 antibody levels in ACS, and the +190G/C genotypes, eHsp70 and anti-Hsp70 antibody levels may have a joint effect on the risk of ACS.
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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) | 0.001 | 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 | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".