A52 THE LGR5 ACTIVITY MODULATES CELL METABOLISM TO FAVOR WOUND HEALING
Bibliographic record
Abstract
Abstract Background The stem cell marker leucine-rich G-protein-coupled receptor-5 (LGR5) acts as an R-spondin (RSPO) signal transducer, facilitating WNT signaling to support tissue development and renewal. In GI diseases, LGR5+intestinal stem cells play a critical role in wound healing, while its expression by cancer stem cells correlates with cancer progression and chemoresistance. Surprisingly, only a handful of studies have investigated the functional role of LGR5 as a receptor. Demonstrating LGR5 receptor function and identifying signaling determinants will be a significant breakthrough in understanding stem cell biology under normal and pathological conditions. The project hypothesis is that LGR5 scaffolds the assembly of signaling complexes that modulate cell metabolism to accommodate cell fate, growth, and migration. Aims The project aims to characterize the molecular determinants linking LGR5 to cell metabolism and wound healing. Methods As a working model, recombinant LGR5 and mutant constructs were expressed in HEK293 cells. Wound healing was determined using scratch and single-cell tracking assays to measure cell migration. Cellular metabolism was measured using Seahorse assays complemented by metabolomic studies. Results Proteomic analysis revealed a rich LGR5 protein interactome associated with amino acid, glucose, purine metabolism, scaffold proteins (e.g., 14-3-3), and GPCR signaling. Using Seahorse assays, we showed that oxygen consumption and glycolysis were increased in LGR5-expressing cells, while metabolic profiling revealed enrichment in metabolites associated with glutamate, purine, pyrimidine metabolism, pentose phosphate pathway, glycolysis, and TCA cycle, among others. Finally, LGR5 expression promoted wound healing and a single cell's migration distance. Conclusions The results describe for the first time a functional role of LGR5 as a receptor, but foremost as an effector modulating cell metabolism. The findings may pave the way for new therapeutics targeting the LGR5 interactome to restore tissue homeostasis in diseases such as inflammatory bowel disease or to block cell adaptation and dissemination in the context of cancer. Funding Agencies CCCNSERC
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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) | 0.003 | 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".