SAT047 Regulation Of The Insulin Receptor And The Insulin-like Growth Factor 1 Receptor By miR-322-5p, A miR-16 Family Member, In Hypothalamic Neuronal Models
Bibliographic record
Abstract
Abstract Disclosure: W. He: None. N. Loganathan: None. K.W. Mak: None. E. McIlwraith: None. D.D. Belsham: None. Insulin signals through the insulin receptor (INSR) and the insulin-like growth factor 1 receptor (IGF1R) in hypothalamic neurons to control food intake and peripheral metabolism. A contributor to obesity, and subsequent comorbidities such type 2 diabetes and heart disease, is the development of cellular insulin resistance in hypothalamic neurons. However, the molecular changes to neuronal insulin signaling remain to be fully elucidated. MicroRNAs (miRNAs) inhibit translation of specific mRNAs; thus, this study aimed to understand the involvement of miRNAs in the regulation of insulin signaling and resistance in hypothalamic neurons. To profile miRNAs expressed in hypothalamic neurons, RNA from the whole hypothalami of 14-week-old CD1 male mice (n = 4), as well as the immortalized hypothalamic neuronal cell lines mHypoE-46 (n = 3) and mHypoA-59 (n = 3), each co-expressing neuropeptide Y (NPY) and agouti-related peptide (AgRP), were assessed using the Affymetrix GeneChip miRNA 4.0 Array. Notably, miR-16 family members, including miR-16-5p, miR-15b-5p, and miR-322-5p, were among the most highly expressed miRNAs in each case. In the mHypoA-59 neurons, overexpression of miR-322-5p for 24 hours decreased the mRNA levels of Igf1r (-26.1%; p = 0.0007; n = 4) and the protein level of INSR-beta (-31.8%; p = 0.0023). These results suggest that the miR-16 family plays an inhibitory role in insulin signaling in hypothalamic neurons. To study the involvement of miRNAs in hyperinsulinemia-induced neuronal insulin resistance, the mHypoE-46 neurons were treated with 100 nM insulin for 24 hours to induce cellular insulin resistance, as characterized by decreased INSR-beta protein (-96.3%; p < 0.0001; n = 4) and a resulting decrease in insulin-induced phosphorylation of protein kinase B (AKT) (-67.6%; p = 0.01; n = 4). GeneChip miRNA array analysis showed that insulin overexposure disrupted the expression of 48 miRNAs (p < 0.05, n = 3), including the upregulation of miR-18a-3p, mir-322, miR-494-3p, and miR-671-3p. Upon RT-qPCR validation (n = 3), we established that prolonged (24 hours), but not acute (1-6 hours), insulin exposure upregulated miR-18a-3p (+62%; p = 0.0104), miR-671-3p (+111%; p = 0.0079), and miR-1983 (+97%; p = 0.0181). miR-671-3p, miR-494-3p, and miR-18a-3p have been shown to decrease phosphatase and tensin homolog (PTEN) levels, which can promote neuronal insulin resistance based on bioinformatic analysis. Overall, these results suggest hyperinsulinemia disrupts the expression of specific miRNAs in hypothalamic neurons to promote cellular insulin resistance. Knowledge derived from these studies will provide insight into hypothalamus-derived miRNAs that could be targeted for miRNA-based diagnostics and therapeutics for early central insulin resistance in humans.(Supported by the CRC, CIHR, NSERC, EndoSoc, and BBDC) Presentation: Saturday, June 17, 2023
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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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".