Prize Observer

Daniel J. Drucker · background · research

Daniel J. Drucker · GLP-1 research

Source date

An endocrinology researcher whose work clarified the biological actions of GLP-1 and related gut hormones. His research helped connect basic hormone biology with medicines for metabolic disease.

Current nomination records are confidential for 50 years. An expert recommendation or a market listing does not establish an official nomination.

Contribution

GLP-1 is a gut hormone involved in glucose-dependent insulin secretion and other metabolic signals. Research on its active form and receptors helped enable medicines that mimic its action. The hormone, a drug and an individual treatment decision are different subjects.

Evidence

Citation Laureates identifies influential research. Recognition is not a prediction of a Nobel winner in a particular year.

Sources

Related reading

work and contributions

Jens Juul Holst

A physiologist who studies how intestinal hormones regulate insulin secretion and metabolism. His experiments helped establish the activity of GLP-1 and its role in the gut–pancreas connection.

work and contributions

Svetlana Mojsov

A peptide chemist whose work identified the biologically active form of GLP-1 and enabled its synthesis and measurement. This contribution helped researchers test how the hormone stimulates insulin secretion.

research

Optogenetics

Optogenetics introduces light-sensitive proteins into selected cells so light can change their activity. This lets researchers test what a neural circuit does by perturbing it, rather than only observing it. A research tool’s success does not mean a treatment is ready for routine care.

research

GLP-1 research

GLP-1 is a gut hormone involved in glucose-dependent insulin secretion and other metabolic signals. Research on its active form and receptors helped enable medicines that mimic its action. The hormone, a drug and an individual treatment decision are different subjects.

research

Optical coherence tomography

Optical coherence tomography uses reflected light and interference to produce cross-sectional images of tissue. It can reveal structures such as retinal layers without cutting the tissue. Imaging structure is different from proving the cause of a disease.