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A Conversation with Roger Guillemin

2013· article· en· W2099854682 on OpenAlexaboutno aff
Roger Guillemin, Greg Lemke

Bibliographic record

VenueAnnual Review of Physiology · 2013
Typearticle
Languageen
FieldMedicine
TopicGrowth Hormone and Insulin-like Growth Factors
Canadian institutionsnot available
Fundersnot available
KeywordsHypothalamusLobePituitary glandAnterior pituitaryNeuroscienceEndocrine systemOxytocinPsychologyInternal medicineAnatomyHormoneBiologyMedicine

Abstract

fetched live from OpenAlex

Introduction by Editor David Julius In the second century ad, Galen of Pergamon was the first to describe the anatomical connection between the hypothalamus and the pituitary gland. In the 1800s, von Luska, Cajal, and others showed that this connecting structure, or stalk, contains nerve fibers as well as a plexus of capillary vessels. Such observations raised long-standing questions as to the functional nature of these connections and their relationship to neural and/or humoral communication between these two endocrine organs. Hypothalamic nerve fibers projecting to the posterior pituitary were later shown to account for the release of vasopressin and oxytocin from vesicle-rich terminals within this lobe. Up until the mid-1900s, however, it remained unclear as to how the hypothalamus controls the release of corticotropin, thyrotropin, growth hormone, and other key endocrine factors from the anterior lobe. Evidence for direct neural control was lacking, and in the 1940s the British physiologist Geoffrey Harris proposed that the hypothalamus exerts control over the anterior lobe through a humoral mechanism in which blood-borne releasing factors are delivered to the pituitary through capillaries of the interconnecting stalk (the so-called hypothalamo-hypophysial portal system), inducing cells in the anterior lobe to secrete their hormones. This model was not without controversy, and skeptics would not be satisfied until the mythical hypothalamic releasing factors had been biochemically and functionally identified. In 1977, Roger Guillemin and Andrew Schally shared the Nobel Prize in Medicine and Physiology for accomplishing this daunting and far-reaching goal. In doing so, they established the field of neuroendocrinology. In this Perspective, Dr. Guillemin, Distinguished Professor at the Salk Institute, recalls events that diverted him from a career as a country doctor in his native France to one of scientific research, first in Canada and then in the United States and France. The story of the releasing factors is legendary, not only for its scientific import, but also for the great technical challenges that beset these efforts when the advantages of protein microsequencing, molecular cloning, and other such powerful techniques were not yet available. Rather, a scale and persistence of experimentation almost unthinkable (and likely unfundable) by today's standards proved successful. Consequently, key steps in hypothalamic-pituitary signaling were elucidated, and new pharmacological strategies for treating endocrine disorders, including those affecting stature and reproduction, were realized. Following on a recent Annual Review of Physiology (ARP) advent, this Perspective takes the form of an oral history that can be read here in transcript form and viewed online. Dr. Guillemin was interviewed on August 7, 2012, at his ranch in the beautiful hills of Truchas, New Mexico (see Figure 1 ), by Dr. Greg Lemke, Françoise Gilot–Salk Chair at the Salk Institute. We are most grateful to Roger Guillemin and to his wife, Lucienne, for opening their home to ARP for this interview, as well as to Greg Lemke for guiding this lively and fascinating conversation.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.743
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.007
GPT teacher head0.247
Teacher spread0.241 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations12
Published2013
Admission routes1
Has abstractyes

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