Human T-Cell Leukemia Virus Type 1 Infection Is a Risk Factor for Atherosclerosis
Bibliographic record
Abstract
BACKGROUND: Infection, such as by human immunodeficiency virus (HIV), has been reported to cause atherosclerosis by inducing inflammation. Because human T-cell leukemia virus type 1 (HTLV-1) is a retrovirus, as is HIV, we investigated the possible influence of HTLV-1 on the pathogenesis of atherosclerosis by use of established atherosclerosis parameters. METHODS: The study was done on Iki Island, Fukuoka, an area endemic for HTLV-1. The data of 1,424 residents who reported to an annual health check were available for analysis. Anti-HTLV-1 antibody status and factors associated with atherosclerosis were examined, including maximum intima-media thickness (Max-IMT) and brachial-ankle pulse wave velocity (PWV). RESULTS: HTLV-1 positive participants had significantly higher Max-IMT (1.15 ± 0.55 vs. 1.08 ± 0.61 mm, P = 0.04) and PWV (1,760.6 ± 414.5 vs. 1,657.1 ± 425.5 cm/s, P < 0.01) values than did those negative. Moreover, in multiple regression analysis (odds ratio: 1.39, P < 0.01) of participants with Max-IMT 1.1 mm or over, HTLV-1 was extracted as an independent factor for the development of atherosclerosis. CONCLUSION: Our results indicate that HTLV-1 infection confers a high risk of atherosclerosis, although its opposite relation is also possible. It is important to carefully follow the health status of HTLV-1 carriers.
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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 | 0.004 | 0.006 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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 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".