Genetic, molecular and physiological mechanisms involved in human obesity: Society for Endocrinology Medal Lecture 2012
Open accessAbstract
Summary: The health consequences of obesity represent one of the major public health challenges of our time. Whilst the role of environmental drivers such as reduced physical activity and increased food intake is widely acknowledged, the importance of biological factors which influence individual variation in weight is less readily recognised. Considerable evidence suggests that genetic factors influence a person's weight in a given environment and that these genetic influences are more potent at the extremes of the body mass index (BMI) distribution. The discovery that genetic disruption of certain pathways can lead to severe obesity has informed our current understanding of how body weight is regulated by brain circuits that regulate appetite and energy expenditure. These studies provide a framework for investigating patients and ultimately may guide the development of more rational‐targeted therapies for genetically susceptible individuals with severe obesity.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The hypothalamus is a crucial subcortical brain region that serves as a key control centre for regulating adipocyte mass.
“The hypothalamus is a crucial subcortical brain region that serves as a key control centre for regulating adipocyte mass.93”
From Definition and diagnostic criteria of clinical obesity (2025) · cites this paper as [93]
The prefrontal cortex is crucial for cognitive-based inhibitory control of food intake.
“This region is crucial for cognitive-based inhibitory control of food intake.93”
From Definition and diagnostic criteria of clinical obesity (2025) · cites this paper as [93]
Dysregulation in neural circuits can lead to an imbalance between energy intake and expenditure, promoting uncontrolled fat accumulation, weight gain, and the development of obesity.
“Dysregulation in these neural circuits can lead to an imbalance between energy intake and expenditure, promoting uncontrolled fat accumulation, weight gain, and the development of obesity.93”
From Definition and diagnostic criteria of clinical obesity (2025) · cites this paper as [93]
Disruption of genes in the leptin-melanocortin pathway alters eating behaviour by increasing hunger, decreasing satiety, activating food reward cues, and increasing the preference for dietary fat.
“In particular, disruption of genes in the leptin-melanocortin pathway alters eating behaviour by increasing hunger, decreasing satiety, activating food reward cues, and increasing the preference for dietary fat.”
From Definition and diagnostic criteria of clinical obesity (2025) · cites this paper as [93]
NTS neurons express receptors for multiple satiety peptides such as leptin, melanocortin, and GLP-1, and are key contributors to satiety control.
“NTS neurons express receptors for multiple satiety peptides such as leptin, melanocortin, and GLP-1, and are key contributors to satiety control.93”
From Definition and diagnostic criteria of clinical obesity (2025) · cites this paper as [93]
If a patient has obesity, this can change the hippocampus, affecting food-related memory and cognitive processes, potentially influencing eating behaviours.
“If a patient has obesity, this can change the hippocampus, affecting food-related memory and cognitive processes, potentially influencing eating behaviours.93”
From Definition and diagnostic criteria of clinical obesity (2025) · cites this paper as [93]
Genome-wide association studies have identified several hundred common variants that influence food intake, basal metabolic rate, and the energy used during a fixed amount of exercise.
“Genome-wide association studies have identified several hundred common variants that influence food intake, basal metabolic rate, and the energy used during a fixed amount of exercise.92–94”
From Definition and diagnostic criteria of clinical obesity (2025) · cites this paper as [93]
In obesity, there can be dysregulation in the VTA's dopaminergic signalling, contributing to the reinforcement of overeating behaviours.
“In obesity, there can be dysregulation in the VTA’s dopaminergic signalling, contributing to the reinforcement of overeating behaviours.93”
From Definition and diagnostic criteria of clinical obesity (2025) · cites this paper as [93]
Eating is both an innate (hard-wired) and learned behaviour.
“These findings show that eating is both an innate (hard-wired) and learned behaviour.93”
From Definition and diagnostic criteria of clinical obesity (2025) · cites this paper as [93]
Cites
Effects of Recombinant Leptin Therapy in a Child with Congenital Leptin Deficiency
Farooqi, I. S., Jebb, S. A., Langmack, G., Lawrence, E., Cheetham, C. H., Prentice, A. M., Hughes, I. A., McCamish, M. A., & O'Rahilly, S. (1999) · New England Journal of Medicine · doi:10.1056/nejm199909163411204 · Cited by 1,998 · see citing works
Self-citationOzata, M., Ozdemir, I. C., & Licinio, J. (1999) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jcem.84.10.5999 · Cited by 739 · see citing works
Modulation of Blood Pressure by Central Melanocortinergic Pathways
Greenfield, J. R., Miller, J. W., Keogh, J. M., Henning, E., Satterwhite, J. H., Cameron, G. S., Astruc, B., Mayer, J. P., Brage, S., See, T. C., et al. (2009) · New England Journal of Medicine · doi:10.1056/nejmoa0803085 · Cited by 477 · see citing works
Self-citation
Flagged first, then by citations
Cited by
Sorted by citations
Definition and diagnostic criteria of clinical obesity
Rubino, F., Cummings, D. E., Eckel, R. H., Cohen, R. V., Wilding, J. P. H., Brown, W. A., Stanford, F. C., Batterham, R. L., Farooqi, I. S., Farpour-Lambert, N. J., et al. (2025) · The Lancet Diabetes & Endocrinology · doi:10.1016/s2213-8587(24)00316-4 · Cited by 1,811 · see citing works
Self-citationThe carbohydrate-insulin model: A physiological perspective on the obesity pandemic
Ludwig, D. S., Aronne, L. J., Astrup, A., de Cabo, R., Cantley, L. C., Friedman, M. I., Heymsfield, S. B., Johnson, J. D., King, J. C., Krauss, R. M., et al. (2021) · The American Journal of Clinical Nutrition · doi:10.1093/ajcn/nqab270 · Cited by 292 · see citing works
Novel GLP-1-based Medications for Type 2 Diabetes and Obesity
Son, J. W., le Roux, C. W., Blüher, M., Nauck, M. A., & Lim, S. (2026) · Endocrine Reviews · doi:10.1210/endrev/bnaf036 · Cited by 33 · see citing works
- Authors
- Farooqi, S. I.
- Affiliations
- University of Cambridge Metabolic Research Laboratories Wellcome Trust‐MRC Institute of Metabolic Science Addenbrooke's Hospital Cambridge UK
- Venue
- Clinical Endocrinology
- Publisher
- Wiley
- Published
- 2014-09-22
- Volume
- 82
- Issue
- 1
- Pages
- 23-28
- ISSN
- 0300-0664 (ISSN-L)
- 1365-2265
- OpenAlex
- W2170556312
- Cited by
- 37
- References
- 3
- Citations by year
- 2026: 1 · 2025: 3 · 2024: 4 · 2023: 6 · 2022: 1 · 2021: 6 · 2020: 4 · 2019: 3 · 2018: 3 · 2017: 1 · 2015: 5
- FWCI
- 0.23
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Clinical Endocrinology (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Funders
- Wellcome Trust (098497/Z/12/Z)
- Topics
- Life Sciences › Neuroscience › Endocrine and Autonomic Systems › Regulation of Appetite and Obesity
- Health Sciences › Medicine › Pharmacology › Pharmacology and Obesity Treatment
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
- Keywords
- human obesity, genetic susceptibility to obesity, body weight regulation, appetite regulation, energy expenditure, brain circuits, morbid obesity, molecular mechanisms of obesity
- MeSH terms
- Humans, Obesity
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review