Role of Porphyrin Sequestration in the Biogenesis of Iron-Laden Astrocytic Inclusions in Primary Culture
Bibliographic record
Abstract
Astrocytes in subcortical regions of the mammalian brain progressively accumulate iron-rich, autofluorecent cytoplasmic inclusions as a function of aging. Cysteamine (CSH) accelerates the appearance of this senescent glial phenotype in situ and in primary rat astroglial cultures. Porphyrins have been implicated as the source of orange-red autofluorescence in these glial inclusions. Yet, CSH has been shown to suppress porphyrin-heme biosynthesis in cultured astroglia. To determine whether porphyrin biosynthesis or sequestration participates in the biogenesis of these glial inclusions, the porphyrin precursor, (3)H-delta-aminolevulinic acid ((3)H-ALA) was administered to CSH-exposed and control rat astroglial cultures followed by light and electron microscopic autoradiography. Control cultures exhibited faint orange-red autofluorescence, intense (3)H-ALA labeling, numerous normal mitochondria and few cytoplasmic inclusions. In these cells, (3)H-ALA labeling largely occurred over normal mitochondria. The CSH-treated astroglia exhibited diminished (3)H-ALA labeling and contained numerous orange-red autofluorescent inclusions. The latter manifested internal compartments delimited by double membranes characteristic of damaged mitochondria. The complement of normal mitochondria in the CSH-exposed cells was markedly reduced. In the CSH-treated cells, (3)H-ALA labeling predominated over the large multi-compartmental inclusions. CSH attenuates de novo porphyrin-heme biosynthesis in astroglia but may induce punctate orange-red autofluorescence in the cytoplasm of these cells by promoting large numbers of damaged, porphyrin-containing mitochondria to form tight aggregates within the nascent gliosomes.
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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) | 0.001 | 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".