Blastomere removal affects homeostatic control leading to obesity in male mice
Bibliographic record
Abstract
Preimplantation embryos are particularly vulnerable to environmental perturbations, including those related to assisted reproductive technologies. Invasive embryo manipulations, such as blastomere biopsy, are applied worldwide in clinical settings for preimplantation genetic testing. Mouse models have previously shown that blastomere biopsy may be associated with altered phenotypes in adult offspring. The aim of the present study was to investigate the specific contribution of blastomere removal to the physiological, behavioral, and molecular regulators of energy homeostasis, as compared to sham manipulation (re-introducing the blastomere into the embryo after its removal) and in vitro culture. Mice derived from 8-cell embryos subjected to blastomere removal displayed: (i) higher body weight and adiposity, (ii) increased food intake and sucrose preference, (iii) decreased time of immobility in the tail suspension test, and (iv) resistance to weight loss after social isolation or following 3 days of physical exercise - compared to mice derived from sham biopsy or from in vitro-cultured embryos. Mice generated after blastomere removal also had increased circulating leptin and leptin gene expression in adipose tissue, as well as increased ghrelin receptor gene expression in the hypothalamus, compared to control mice. The effects of blastomere biopsy on offspring phenotype were sexually dimorphic, with females not being affected. These results indicate that blastomere deprivation, rather than other perturbations of the blastomere biopsy procedure, programs male embryos to develop physiological, behavioral, and molecular dysregulation of energy homeostasis, leading to postnatal obesity.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".