CELLULAR BIOENERGETICS AND CEREBRAL DYSMORPHOGENESIS: LESSONS FROM AMISH MICROCEPHALY
Bibliographic record
Abstract
Objectives: To examine the intersection of biochemical disorders and morphogenetic pathways in determining the ultimate size and shape of the brain and craniofacial structures with particular reference to energy metabolism. Methods: Case study of Amish microcephaly, with serial neuroimaging, biochemical and molecular studies to explore this relationship. The male proband is the first child born to consanguineous Mennonite/Amish parents. Ultrasound at 21 weeks gestation revealed microcephaly (biparietal diameter and head circumference at -3SD). At birth, cranial size was in the severely microcephalic range. Marked ridging was noted over the confluence of the sagittal and lambdoid sutures. The infant became critically ill with metabolic and lactic acidosis at age 5 months. After stabilization of acidosis and treatment with dichloroacetate, he was placed on the ketogenic diet, with stabilization and survival (presently 21/2yrs). He has profound developmental delay. Results: Urine organic acids were initially normal, but revealed elevation of á-ketoglutaric acid during a later period of metabolic stability. Serial magnetic resonance imaging studies disclosed marked ventriculomegaly, agenesis of the corpus callosum, a thinned cortical mantle with lissencephalic appearance, pontocerebellar hypoplasia, absence of the cerebellar vermis and mega cisterna magna. Molecular diagnostic testing confirmed homozygosity for the G177A mutation in the SLC25A19 gene which encodes a nuclear mitochondrial deoxynucleotide carrier (DNC). Conclusion: The biochemical perturbations suggest a defect in cellular bioenergetics. The imaging studies beginning at 21 weeks until present show a profound impact on cerebral and cranial morphogenesis. The relationship between the genetic mutation, cellular energy metabolism and brain development will be discussed.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 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".