Analysis of Expression Status and Relationship Between Senescence-related Genes and Pancreatic Function-related Genes in Human Islets of Langerhans from Donors of Various Ages
Bibliographic record
Abstract
BACKGROUND/AIM: Although studies on senescence-related genes using human islets of Langerhans have been performed, the expression of senescence-related genes and their association with functional genes in islets remain insufficiently investigated. We aimed to determine whether and what types of senescent-related genes are expressed in islets and identify their correlations with pancreatic function-related genes by using islets isolated for transplantation from individuals of various ages. MATERIALS AND METHODS: Islets from deceased donors of both sexes and different ages were used for analysis. The expression status of senescence-related genes (glutaminase 1, interleukin 6, interleukin 8, cyclin-dependent kinase inhibitor 2A, cyclin-dependent kinase inhibitor 1A, and senescence-associated beta-galactosidase) and pancreatic function-related genes (glucagon and insulin) was examined by reverse transcription-quantitative polymerase chain reaction, and their relationships with age were investigated. RESULTS: We obtained isolated human islets from 18 deceased multiorgan donors. There was no correlation between donor age and expression of any of the senescence-related genes. Regarding correlations between donor age and pancreatic function-related genes, age was positively correlated only with INS (r=0.49, p=0.03). INS expression was not correlated with that of GLS1 (r=0.23, p=0.34), IL6 (r=-0.06, p=0.79), or IL8 (r=-0.1, p=0.12), but positively related with p16 (r=0.89, p<0.0001), p21 (r=0.51, p=0.02), and SA-β-gal (r=0.52, p=0.02). CONCLUSION: We showed the functional potential even of aged islets, which were originally thought to be functionally impaired. We were unable to identify any senescence-related genes expressed in islets from donors of different ages. Therefore, a new index is needed to evaluate not only actual chronological age but also organ- and cell-specific age.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.000 | 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 teacher head, 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".