Factors Affecting Energy Metabolism: Brown Fat, Medications, Weight Loss

Continuing with citations from my article in Obesity Reviews on an aeteological framework for assessing obesity, we now turn to the some of the factors that can affect metabolic rate:

Metabolically Active Fat
Recent evidence suggests that brown adipose tissue (BAT) exists into adult hood and can, when present account for as much as 20% of daily resting energy expenditure. While the exact contribution of BAT (or lack thereof) to obesity remains to be determined, the presence and inducibility of BAT by cold exposure is inversely related to BMI, appears higher in women, and diminishes with aging. Given the role of cold exposure in the expression of BAT, it can be speculated that an increase in ambient temperature may promote weight gain by significantly reducing BAT and, thus, metabolic rate in some individuals. In rodents, increased production of neuropeptide Y in the hypothalamus can not only increase food intake but also reduce energy expenditure via a reduction in non‐shivering thermogenesis in BAT and facilitate triglyceride deposition through increased insulin levels.


A wide range of medications can affect metabolic rate. Notably, the use of beta‐blockers has been shown to significantly reduce thermogenesis, resulting in clinically relevant weight gain 34. Metabolic rates can also be reduced by the discontinuation of drugs that promote thermogenesis such as beta‐adrenergic agents, stimulants (including performance‐enhancing and illicit drugs like crack/cocaine), coffee or nicotine, resulting in weight gain.\

Weight Loss

Finally, weight loss can markedly reduce energy requirements with a 5–10% reduction in body weight reducing resting metabolic rate by as much as 20% in some individuals, thereby substantially increasing the susceptibility to weight regain in the post‐obese state.

Commentary: In summary, any of the many factors that can reduce metabolic rate, can result in weight gain even with no change in energy intake or energy expenditure. In a clinical setting, this would apply to the patient, who tells you that they have not changed their food intake or their activity levels and, yet, have gained weight. Rather than simply discarding this information from a patient as being untrue or “delusional”, clinicians should give careful consideration to the factor that there very well may be factors that have led to a significant reduction in metabolic requirements.

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