AMPK-dependent regulation of foraging behaviours in Caenorhabditis elegans
Bibliographic record
Abstract
Energy homeostasis is of paramount importance for metabolic health and survival during energy stress and this must occur at both the cellular and organismal level.Starvation is therefore often accompanied by compensatory behaviours that are believed to increase the probability of encountering a food source.But how hunger results in changes in the neural activity to trigger specific adaptive behavioural responses has yet to be elucidated.AMP-activated protein kinase (AMPK) is a key metabolic sensor that acts as a regulator of adaptive behavioural responses during acute starvation, although the mechanisms by which this kinase affects such outcomes remain unclear.We observed that the starved AMPK-deficient C. elegans larvae display a locomotory defect that reveals their inability to appropriately respond to resource depletion.We observed that reconstitution of AMPK in the AIB and AIY interneurons that are involved in the various locomotory responses associated with reduced food availability completely rescues the locomotory defects of AMPK mutants.Using a combination of classic genetic analysis, optogenetic approaches and calcium imaging techniques, we found that although AMPK is not involved in essential aspects of neural function, it does play a key role in the modulation of neuronal activity upon starvation which in turn ensures adaptive behavioural outcomes in response to acute starvation.Furthermore, we discovered that AMPK mediates this effect by regulating the levels of AMPA-type glutamate receptor GLR-1 and Metabotropic glutamate receptor MGL-1 in the AIB and AIY interneurons respectively, which ultimately modulates synaptic strength under conditions of starvation.Overall, our study suggests that besides its well-known function in metabolic control at the cellular level, AMPK also acts as a molecular trigger and funding which profoundly made my Ph.D. experience productive and stimulating.The joy and enthusiasm he has for science was contagious and motivational for me, even during tough times.Next, I would like to thank our lab manager Shaolin Li, who always was available to solve the technical issues and provided many useful suggestions to my projects.I would like to specially thank Dr. Michael Hendricks for the substantial influence his support and continuous help have had on my Ph.D.
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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) | 0.001 | 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".