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Record W2080335611 · doi:10.1038/oby.2006.305

The Neurobiology of Obesity

2006· article· en· W2080335611 on OpenAlexaffabout
Denis Richard, P. Boisvert

Bibliographic record

VenueObesity · 2006
Typearticle
Languageen
FieldNeuroscience
TopicRegulation of Appetite and Obesity
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsObesityMedicineNeuroscienceMEDLINEPsychologyBiologyInternal medicine

Abstract

fetched live from OpenAlex

Obesity is an energy balance regulation dysfunction that leads to an excessive fat deposition, which increases the risk for cardiovascular, respiratory, and metabolic diseases, in particular when such deposition occurs within the abdominal cavity. The high prevalence of obesity and its costly co-morbidities has significantly contributed to intensify efforts to understand obesity, which is currently at the forefront of biochemical, biomolecular, and neurobiological research. We now confront the tremendous challenge of preventing obesity and developing effective treatments. In the last 15 years, research has generated many important discoveries, including those of adipose tissue-derived hormones such as leptin and adiponectin, those of the gastrointestinal tract hormones such as ghrelin, and the determination of numerous central and peripheral circuitries involved in energy balance regulation. The neurobiology of obesity represents a rapidly growing research field that has proved to be essential in the understanding of the etiology of obesity. The brain plays a major role in energy balance regulation as it exerts controls on both food intake and energy expenditure (Figure 1). Three brain entities are particularly important in these controls, namely the hypothalamus, the dorsal vagal complex, and the reward system, which are inter-related structures capable of controlling energy intake as well as thermogenesis. Brain systems controlling energy intake and energy expenditure have been divided into anabolic and catabolic systems, each system comprising different types of neurons capable of controlling energy intake as well as energy expenditure. These neurons release various molecules that include neuropeptide Y, agouti-related peptide, melanin-concentrating hormone, the endocannabinoids, α-melanocyte-stimulating hormone, cocaine- and amphetamine-regulated transcript, corticotropin-releasing factor, thyrotropin-releasing hormone, and serotonin. These neurosystems are modulated by short- and long-term signals that report on the status of the energy stores and energy fluxes. Whereas leptin and insulin are recognized as the main long-term signals, the gastrointestinal hormones ghrelin, peptide tyrosine-tyrosine, cholecystokinin, and glucagon-like peptide 1 are known as short-term signals that inform about the nutritional status. The way an organism regulates energy balance is in large part a function of its genes and the environment. One energy expenditure component, which is perhaps not so important in human energetics but which is undoubtedly relevant in laboratory rodents used by most neurobiologists of obesity, is brown adipose tissue thermogenesis, the activity of which depends on factors activating the sympathetic nervous system. The extraordinary thermogenic power of brown adipose tissue is attributable to uncoupling protein 1, a mitochondrial protein uniquely found in brown adipose tissue. The regulation of energy stores. NPY, neuropeptide Y; AgRP, agouti-related peptide; MCH, melanin-concentrating hormone; DVC, dorsal vagal complex; αMSH, alpha-melanocyte-stimulating hormone; CART, cocaine- and amphetamine-regulated transcript; CRF, corticotropin-releasing factor; TRH, thyrotropin-releasing hormone; SNS, sympathetic nervous system; GI, gastrointestinal; BAT, brown adipose tissue; UCP1, uncoupling protein 1. It is within the mission of the Merck Frosst/CIHR Research Chair in Obesity to provide continuing education about the best possible knowledge on obesity to scientists, physicians, health professionals, as well as to the public at large, regarding the causes, complications, treatment, and prevention of obesity. In this regard, the purpose of the annual symposium is to summarize evidence regarding important topics related to obesity and to propose novel obesity research directions. Since its creation in 1997, the Merck Frosst/CIHR Research Chair in Obesity has held six international symposia devoted entirely to obesity research. The first symposium of the series, entitled “The Uncoupling Proteins and Obesity,” was held in 1998 (1). The second symposium, which was organized the following year, was oriented toward “The New Biology of Adipose Tissue” (2). In 2000, the third symposium was entitled “The Ponderostat: From Behavior to Neural Substrates” (3) and focused on the mechanisms whereby energy balance is regulated. The fourth symposium, organized in November 2002 and entitled “Complications of Obesity: The Inflammatory Link,” summarized the latest most important findings on the mechanisms underlying the link between obesity and its complications such as diabetes and cardiovascular diseases (4). In 2003, the fifth symposium brought a comprehensive view on the “Role of Gene Regulation in Obesity and its Complications” (5) and, specifically, on the regulation of peroxisome proliferator-activated receptors, prostaglandin C-1, Forkhead transcription factor-1, and silent information regulator 2. In 2004, the sixth symposium focused on the understanding of “The Endocannabinoid System and its Role in Energy Homeostasis and Abdominal Obesity Management” (6). Given the originality and importance of the research currently in progress on the neurobiology system aimed at unraveling the mechanisms whereby energy homeostasis is achieved, better understanding of obesity, and determining therapeutic targets, an advisory committee on the symposium series recommended to the Chair to organize the present symposium on that important topic. The Scientific Program Committee for this symposium, which was chaired by D. Richard (Canada), included K. Sharkey (Canada), W. Colmers (Canada), and A. Ferguson (Canada). P. Boisvert was in charge of the symposium logistics. The present proceedings recapitulate the highlights of the seventh symposium of the Merck Frosst/CIHR Research Chair in Obesity, which was entitled “The Neurobiology of Obesity.” The symposium was held November 4–5, 2005, at Auberge Saint-Antoine in Québec City, Canada. The first of the three one-half-day sessions, chaired by W. Colmers, was aimed at presenting overviews of “The Regulation of Energy Balance.” The second session was chaired by A. Ferguson and was dedicated to the “Circuitries Involved in Energy Balance Regulation.” Finally, K. Sharkey chaired the third session, entitled “Targets for Drugs,” on the peripheral and central mechanisms controlling food intake and energy balance. In closing, our gratitude goes to all of the invited experts, who not only presented authoritative and stimulating presentations but also participated with enthusiasm and competence in the lively discussion periods of the meeting. We thank K. Sharkey, A. Ferguson, and W. Colmers, who very skillfully chaired the meeting sessions and provided direction during the invigorating discussion periods. K. Sharkey, A. Ferguson, W. Colmers, and D. Richard hold a New Emerging Team research grant from the Canadian Institutes of Health Research. This supplement of Obesity was edited by D. Richard and P. Boisvert. We also acknowledge the contribution of the Centre de Recherche de l'Hôpital Laval affiliated to Université Laval, as well as Desjardins Sécurité Financière for their support. This symposium was supported by an unrestricted grant from Merck Frosst Canada Limited.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.163
Threshold uncertainty score0.260

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)0.0000.000

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 head0.013
GPT teacher head0.230
Teacher spread0.217 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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

Citations14
Published2006
Admission routes2
Has abstractyes

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