F5. CIRCULATING IGFBP-2 LEVELS REVEAL ATHEROGENIC METABOLIC RISK IN SCHIZOPHRENIC PATIENTS USING ATYPICAL ANTIPSYCHOTICS
Bibliographic record
Abstract
Despite their important clinical value, second generation antipsychotics (SGAs) are known to induce weight gain, insulin resistance, and dyslipidemia. However, the extent of these metabolic alterations differs among patients, and there is a current lack of knowledge about the factors that influence this inter-variability. Circulating levels of insulin-like growth factor binding protein (IGFBP)-2 below 220ng/mL have been proposed as a potential integrative biomarker negatively associated with features of the metabolic syndrome, including waist circumference and hypertriglyceridemia. Thus, we tested the hypothesis that the metabolic alterations developed upon the use of SGAs are impacted by circulating IGFBP-2 levels. In order to assess metabolic risk factors in schizophrenic patients using SGAs on the basis of their plasma IGFBP-2 levels, a cross-sectional study was performed in 97 young Caucasian men newly diagnosed with schizophrenia and treated with olanzapine or risperidone for approximately 20 months. Plasma glucose, insulin and IGFBP-2 levels, anthropometric data, as well as lipid-lipoprotein profiles were determined at the end of the treatments. Body weight, waist circumference and fasting insulin levels were similar between patients on olanzapine or risperidone. Plasma IGFBP-2 levels were also not different between the two groups (173 ± 15 vs 199 ± 16 ng/mL, respectively). As expected, IGFBP-2 concentrations were negatively correlated with BMI, waist circumference, insulin sensitivity, and plasma triglyceride levels in the entire cohort. However, the proportion of schizophrenic patients with a hypertriglyceridemia and large waist circumference ranged from 43% for olanzapine and 12% for risperidone users with IGFBP-2 levels lower than 220 ng/mL, compared to 8% and 0%, respectively for patients with plasma IGFBP-2 above this threshold (p = 0.0178). Our findings suggest that circulating levels of IGFBP-2 may underlie the inter-variability on metabolic risk in schizophrenic patients using SGAs. Longitudinal studies are required to evaluate whether IGFBP-2 levels can predict the development of a hypertriglyceridemic waist phenotype in this population.
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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 | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".