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Cited by 69Regulation of Appetite and ObesitySmoking Behavior and CessationPrenatal Substance Exposure Effects

The DOI matches its Crossref record; 111 of the 122 references it cites were found in a registry or an index, and 11 are not checked yet; none of the 103 sources its claims cite is checked for support yet.

Cigarette Smoking and Brain Regulation of Energy Homeostasis

Open access
Chen, Hui, Saad, Sonia, Sandow, Shaun L., Bertrand, Paul P.·2012·Frontiers in Pharmacology

Abstract

Cigarette smoking is an addictive behavior, and is the primary cause of cardiovascular and pulmonary disease, and cancer (among other diseases). Cigarette smoke contains thousands of components that may affect caloric intake and energy expenditure, although nicotine is the major addictive substance present, and has the best described actions. Nicotine exposure from cigarette smoke can change brain feeding regulation to reduce appetite via both energy homeostatic and reward mechanisms, causing a negative energy state which is characterized by reduced energy intake and increased energy expenditure that are linked to low body weight. These findings have led to the public perception that smoking is associated with weight loss. However, its effects at reducing abdominal fat mass (a predisposing factor for glucose intolerance and insulin resistance) are marginal, and its promotion of lean body mass loss in animal studies suggests a limited potential for treatment in obesity. Smoking during pregnancy puts pressure on the mother's metabolic system and is a significant contributor to adverse pregnancy outcomes. Smoking is a predictor of future risk for respiratory dysfunction, social behavioral problems, cardiovascular disease, obesity, and type-2 diabetes. Catch-up growth is normally observed in children exposed to intrauterine smoke, which has been linked to subsequent childhood obesity. Nicotine can have a profound impact on the developing fetal brain, via its ability to rapidly and fully pass the placenta. In animal studies this has been linked with abnormal hypothalamic gene expression of appetite regulators such as downregulation of NPY and POMC in the arcuate nucleus of the hypothalamus. Maternal smoking or nicotine replacement leads to unhealthy eating habits (such as junk food addiction) and other behavioral disorders in the offspring.

Checked 2026-11-13 · 11 references not checked yet

Overview

CoChat Summary

TL;DR

This narrative review argues that cigarette smoke/nicotine reduces appetite and body weight via hypothalamic energy-homeostatic and reward pathways, but has marginal effects on abdominal fat and may promote lean mass loss. It also reviews evidence that maternal smoking/nicotine exposure programs offspring for metabolic and behavioral disorders, while cautioning that nicotine’s fat-loss effects are unconfirmed in well-controlled human studies.

Key findings

  • Smoking induces a negative energy state with reduced energy intake and body weight across species; >75% of former smokers gain weight after cessation, and globally there are >1 billion smokers with ∼6 million smoking-related deaths per year, projected to rise to ∼10 million per year in less than 40 years.
  • In smoke-exposed mice, hypothalamic NPY was significantly suppressed compared with pair-fed animals, while UCP1 and UCP3 mRNA increased, suggesting increased energy expenditure despite reduced intake; nicotine-treated mice also showed increased CART and POMC-derived α-MSH with suppressed NPY and AgRP.
  • Fat loss after smoke exposure occurred only with a low-fat balanced diet; with a high-fat cafeteria diet, smoke exposure failed to cause fat loss and lean body mass loss became prominent, with smoke-exposed mice consuming twice the recommended daily energy requirement.
  • Maternal smoking is reported in ∼25–29% of pregnant women; fetal nicotine concentrations reach ∼115% of maternal levels, primate newborns from nicotine-treated mothers show ∼50% lower serum leptin, and intrauterine nicotine exposure downregulates NPY and POMC in the arcuate nucleus.

Methods

  • Design: narrative review synthesizing animal and human studies on cigarette smoking/nicotine, brain regulation of energy homeostasis, and maternal smoking effects on offspring.
  • Data/sample: cited literature including rodent, primate, and human observational/clinical studies; no new primary data are presented.
  • Main analysis: qualitative synthesis of neurophysiological mechanisms and metabolic outcomes; no systematic review or meta-analysis is described.

Limitations

  • Stated in the paper: the fat loss associated with nicotine has not been confirmed in human subjects under well-controlled experimental conditions; there is no direct data to support the hypothesis that NPY/POMC rebound causes later hyperphagia and obesity; and the impact of maternal smoking on offspring brain energy homeostatic pathways requires further study.
  • Evident from the text: as a narrative review, it relies on selected cited studies rather than a systematic search, and several conclusions are explicitly speculative (“we speculate,” “can be suggested”).
  • Evident from the text: many mechanistic conclusions derive from animal models, with limited well-controlled human intervention data.

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Integrity signals

Registry

Crossref · 10.3389/fphar.2012.00147

Cites

111 of 122 references verified0 citation errors · 0 not checkable

Statistics

Nothing to recompute.

Figures

Figure 1 Neurophysiological mechanism of how maternal smoking programs metabolic disorders in offspring.
Figure 1 Neurophysiological mechanism of how maternal smoking programs metabolic disorders in offspring.CC BY · PubMed Central

Verification

Claims the paper makes

0 Valid · 0 Not valid · 61 Not checked · 11 Own results and interpretations

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Citations

Cites

Research works printed but not linked: 2

  1. Argyropoulos G. Harper M. E. (2002). Uncoupling proteins and thermoregulation. J. Appl. Physiol. 92, 2187– 2198 11960973
  2. Contal M. Masson G. Boyer C. Cazevielle C. Mares P. (2005). Neonatal consequences of maternal smoking during pregnancy. J. Gynecol. Obstet. Biol. Reprod. 34 3S215– S222 15980791

Cited by

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Metadata

Authors
Chen, H., Saad, S., Sandow, S. L., & Bertrand, P. P.
Affiliations
  • University of Technology Sydney (AU)
  • The University of Sydney (AU)
  • UNSW Sydney (AU)
Corresponding author
Chen, Hui
Venue
Frontiers in Pharmacology
Published
2012
Volume
3
Pages
147-147
ISSN
1663-9812 (ISSN-L)
OpenAlex
W1999975239
Cited by
69
References
111
Citations by year
2026: 4 · 2025: 1 · 2024: 4 · 2023: 8 · 2022: 3 · 2021: 4 · 2020: 3 · 2019: 5 · 2018: 10 · 2017: 2 · 2016: 5 · 2015: 3 · 2014: 8 · 2013: 9
FWCI
2.43
Type
journal article
Language
en
Open access
Licence
cc-by
Locations
  • Frontiers in Pharmacology (publishedVersion, cc-by)
  • Europe PMC (PubMed Central) (publishedVersion)
  • PubMed (publishedVersion)
  • PubMed Central (publishedVersion)
  • USC Research Bank (University of the Sunshine Coast) (submittedVersion, cc-by)
  • RMIT Research Repository (RMIT University Library) (submittedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
  • Figshare (submittedVersion)
  • UTS ePRESS (University of Technology Sydney) (submittedVersion)
  • OPUS - Open Publications of UTS Scholars (University of Technology Sydney) (submittedVersion)
Topics
  • Life Sciences › Neuroscience › Endocrine and Autonomic Systems › Regulation of Appetite and Obesity
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Smoking Behavior and Cessation
  • Health Sciences › Medicine › Pediatrics, Perinatology and Child Health › Prenatal Substance Exposure Effects
Keywords
cigarette smoking, nicotine, energy homeostasis, appetite regulation, feeding behavior, energy expenditure, obesity, type 2 diabetes, insulin resistance, pregnancy, fetal brain development, placental transfer, hypothalamus, arcuate nucleus, neuropeptide Y, proopiomelanocortin, catch-up growth, childhood obesity, nicotine replacement therapy

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Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.