Key result
Nicotine-metabolite ratio, cortisol, and atherogenicity markers are linked to tobacco-use disorder severity and treatment response.
Why the study?
Tobacco use disorder has few approved cessation aids with high relapse rates, and biomarkers could help identify treatment responders and relapse risk.
Do peripheral biomarkers predict severity, treatment response, and relapse risk in patients with tobacco-use disorder?
Systematic Review (n=57)
Do peripheral biomarkers predict severity, treatment response, and relapse risk in patients with tobacco-use disorder?
Nicotine-metabolite ratio, cortisol, and atherogenicity markers are promising lead biomarkers for tobacco-use disorder severity and treatment response, though further longitudinal studies are needed.
May guide personalized tobacco cessation; hypothesis-generating and requires prospective validation before clinical use.
Introduction Tobacco use disorder (TUD) is a major worldwide healthcare burden resulting in 7 million deaths annually. TUD has few approved cessation aids, all of which are associated a high rate of relapse within one year. Biomarkers of TUD severity, treatment response, and risk of relapse have high potential clinical utility to identify ideal responders and guide additional treatment resources. Methods A MEDLINE search was performed using the terms biomarkers, dihydroxyacetone phosphate, bilirubin, inositol, cotinine, adrenocorticotropic hormone, cortisol, pituitary-adrenal system, homovanillic acid, dopamine, pro-opiomelanocortin, lipids, lipid metabolism all cross-referenced with tobacco-use disorder . Results The search yielded 424 results, of which 57 met inclusion criteria. The most commonly studied biomarkers were those related to nicotine metabolism, the hypothalamic-pituitary-adrenal (HPA) axis, and cardiovascular (CVD) risk. Nicotine metabolism was most associated with severity of dependence and treatment response, where as HPA axis and CVD markers showed less robust associations with dependence and relapse risk. Conclusions Nicotine-metabolite ratio, cortisol, and atherogenicity markers appear to be the most promising lead biomarkers for further investigation, though the body of literature is still preliminary. Longitudinal, repeated-measures studies are required to determine the directionality of the observed associations and determine true predictive power of these biomarkers. Future studies should also endeavour to study populations with comorbid psychiatric disorders to determine differences in utility of certain biomarkers.
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Dwight F. Newton (2019) conducted a systematic review in Tobacco-use disorder (n=57). Peripheral biomarkers was evaluated on Association of biomarkers with dependence severity, treatment response, and relapse risk. Nicotine-metabolite ratio, cortisol, and atherogenicity markers appear to be the most promising lead biomarkers associated with tobacco-use disorder severity and treatment response.
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