Localization of Leptin Receptor in the Human Brain
Bibliographic record
Abstract
Leptin (OB protein), the product of the adipose-specific ob gene, exerts important effects in the regulation of food intake and energy expenditure. Based upon results from animal studies, several groups have suggested that this action may be exerted in the brain, specifically in the hypothalamic region. However, to date, the localization of the OB-R in the human brain has not been described. One aim of this study was to contribute to a better understanding of the role that the central nervous system plays in the pathogenesis of obesity in humans. A first stage was to determine the OB-R expression in the human brain by means of immunohistochemistry and Western blotting. Several brain regions from 17 lean, 14 obese, and 4 diabetic (NIDDM) subjects, obtained from archival autopsy material, were sampled. Brain samples from neocortex, hypothalamus, medualla, limbic system, pineal and cerebellum were routinely processed in paraffin and analyzed with the avidin-biotin immunoperoxidase and diaminobenzidine detection method. Western blotting (WB) analysis was done on fresh brain tissue from an obese patient. Specific OB-R immunoreactivity was localized in the choroid plexus epithelium, ependymal lining, and neurons of the hypothalamic nuclei (arcuate, suprachiasmatic, mamillary, paraventricular, dorsomedial, supraoptic and posterior), nucleus basalis of Meynert, inferior olivary nuclei and cerebellar Purkinje cells. No differences in OB-R immunoreactivity were found among the three groups examined. WB analysis yielded 97- and 125-kD bands in the hypothalamus and cerebellum. In summary, this paper presents the first evidence to indicate the specific localization of the OB-R in the brain of lean, obese and NIDDM subjects.
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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 | 0.000 |
| 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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".