DOHaD: A Menagerie of Adaptations and Perspectives: The interplay between early embryo metabolism and mitoepigenetic programming of development
Bibliographic record
Abstract
In brief: This review discusses advances in the knowledge of epigenetic mechanisms regulating mitochondrial DNA and the relationship with reproductive biology. Abstract: Initially perceived simply as an ATP producer, mitochondria also participate in a wide range of other cellular functions. Mitochondrial communication with the nucleus, as well as signaling to other cellular compartments, is critical to cell homeostasis. Therefore, during early mammalian development, mitochondrial function is reported as a key element for survival. Any mitochondrial dysfunction may reflect in poor oocyte quality and may impair embryo development with possible long-lasting consequences to cell functions and the overall embryo phenotype. Growing evidence suggests that the availability of metabolic modulators can alter the landscape of epigenetic modifications in the nuclear genome providing an important layer for the regulation of nuclear-encoded gene expression. However, whether mitochondria could also be subjected to such similar epigenetic alterations and the mechanisms involved remain largely obscure and controversial. Mitochondrial epigenetics, also known as 'mitoepigenetics' is an intriguing regulatory mechanism in mitochondrial DNA (mtDNA)-encoded gene expression. In this review, we summarized the recent advances in mitoepigenetics, with a special focus on mtDNA methylation in reproductive biology and preimplantation development. A better comprehension of the regulatory role of mitoepigenetics will help the understanding of mitochondrial dysfunction and provide novel strategies for in vitro production systems and assisted reproduction technologies, as well as prevent metabolic related stress and diseases.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 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".