Atypical antipsychotics such as risperidone, but not paliperidone, worsen vascular endothelial function via upregulation of adhesion molecules VCAM-1, ICAM-1, and E-selectin in diabetic rats
Bibliographic record
Abstract
Schizophrenia doubles the odds of diabetes, and atypical antipsychotics (AAPs) also increase risk of diabetes. Indeed, little is known about the effects of AAPs on vascular dysfunctions associated with diabetes. This study aimed to determine the effects of risperidone (RISP) and paliperidone (PALI) on the vascular function of diabetic rats. Diabetes was induced by feeding with a high-fat diet followed by the administration of streptozotocin (35 mg·(kg body mass)(-1), by intraperitoneal injection). Rats received RISP or PALI (1.25 mg·kg(-1)·d(-1), per os) for 3 weeks. Endothelium-dependent relaxation, systolic blood pressure, lipid profile, insulin resistance, and adhesion molecules, vascular cell-adhesion-molecule-1 (VCAM-1), intracellular-adhesion-molecule-1 (ICAM-1), and E-selectin were investigated. RISP significantly worsened the impaired endothelium-dependent relaxation of diabetic aortic rings with upregulation of the adhesion molecules VCAM-1, ICAM-1, and E-selectin, and proinflammatory cytokines MPC-1 and TNF-α. RISP augmented the metabolic dysfunctions and reduced insulin sensitivity in the insulin tolerance test as well as HOMA-IR. PALI produced insignificant effects on vascular and metabolic aberrations. Our results suggest that RISP, but not PALI, aggravates the metabolic abnormalities and vascular dysfunction associated with diabetes, which may be mediated by upregulation of VCAM-1, ICAM-1, and E-selectin. Nevertheless, future investigation for the possible mechanisms underlying the difference noticed between the 2 AAPs is warranted.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 |
| 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".