Abnormal creatine transport of mutations in monocarboxylate transporter 12 (MCT12) found in patients with age-related cataract can be partially rescued by exogenous chaperone CD147
Bibliographic record
Abstract
Membrane transporters influence biological functions in the ocular lens. Here, we investigate the monocarboxylate transporter 12 (MCT12), also called creatine transporter 2 (CRT2), which is found in the ocular lens and is involved in cataract. As the age-related form affects about half of the population world-wide, understanding relevant pathomechanisms is a prerequisite for exploring non-invasive treatments. We screened the coding exons of the gene SLC16A12 in 877 patients from five cohorts, including Caucasian and Asian ethnicities. A previously identified risk factor, SNP rs3740030, displayed different frequencies in the Asian cohorts but risk could not be established. In 15 patients 13 very rare heterozygous nucleotide substitutions were identified, of which eight led to non-synonymous and four to synonymous amino acid exchanges and one mapped to the canonical splice site in intron 3. Their impact on creatine transport was tested in Xenopus laevis oocytes and human HEK293T cells. Four variants (p.Ser158Pro, p.Gly205Val, p.Pro395Gln and p.Ser453Arg) displayed severe reduction in both model systems, indicating conserved function. Two of these, p.Gly205Val, and p.Ser453Arg, did not localize to the oocyte membrane, suggesting possible impacts on protein interactions for transporter processing. In support, exogenously supplied excess of MCT12's chaperone CD147 in HEK293T cells led to a partial recovery of the defective uptake activity from p.Gly205Val and also from mutant p.Pro395Gln, which did localize to the membrane. Our findings provide first insight in the molecular requirements of creatine transporter, with particular emphasis on rescuing effects by its chaperone CD147, which can provide useful pharmacological information for substrate delivery.
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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 | 0.000 | 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 | 0.000 |
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".