Study of FTMT and ABCA4 genes in a patient affected by age-related macular degeneration: identification and analysis of new mutations
Bibliographic record
Abstract
BACKGROUND: Age-related macular degeneration (AMD) is a multifactorial disease for which an involvement of alterations in the retinal ABC transporter gene (ABCA4) is still debated. Oxidative stress in retinal pigment epithelial cells has been postulated to contribute to the pathogenesis of the disease. Mitochondrial ferritin (FtMt), an iron-sequestering protein, is expressed in cell types characterized by high metabolic activity and oxygen consumption, including human retina, suggesting a role in protecting mitochondria from iron-dependent oxidative damage. Based on these findings we wanted to investigate whether mutations in this gene could be found in AMD patients. METHODS: Mutational scanning of the FTMTgene was performed in a cohort of 50 patients affected by age-related macular degeneration. The ABCA4 gene was also scanned in one patient carrying an FtMt mutation. In silico analyses were carried out on the identified variants. The recombinant form of FtMt variant was expressed in Escherichia coli and biochemically characterized. RESULTS: One patient was found to be heterozygous for two previously unreported genetic changes: a complex FtMt mutation (c.437_450delinsCT: delAGGACATCAAGAAGinsCT) and a missense p.Leu973Phe (c.2919G>T) mutation in exon 20 of ABCA4. Computational analyses predicted a severe structural impairment for FtMt variant and a mild destabilizing effect for ABCA4. E. coli expression of recombinant FtMt variant yielded a highly insoluble protein that could not be renatured under in vitro conditions suitable for wild-type ferritins. CONCLUSIONS: Our findings suggest that the FtMt mutation may determine a condition similar to haploinsufficiency resulting in a reduced protection from iron-dependent oxidative stress in mitochondria.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.002 | 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".