1
|
Shuter J, Davis OA, deFilippi C, Christenson RH, Li L, Potts W, Himelhoch S. Nicotine Metabolite Ratio in People with HIV Who Smoke Cigarettes Receiving Pharmacologic and Behavioral Cessation Therapy. Cancer Prev Res (Phila) 2025; 18:111-115. [PMID: 39718469 DOI: 10.1158/1940-6207.capr-24-0449] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2024] [Revised: 11/12/2024] [Accepted: 12/20/2024] [Indexed: 12/25/2024]
Abstract
People with human immunodeficiency virus (HIV; PWH) smoke cigarettes at triple the rate of the general population in the United States. Efforts to increase quit rates in this group have met with limited success. The nicotine metabolite ratio (NMR) has shown promise as a phenotypic marker that may be useful in selecting the most appropriate cessation treatments for people who smoke cigarettes. We completed a randomized controlled trial of individual intensive counseling and/or varenicline treatment for PWH in the Baltimore area who smoke cigarettes, and we measured serum 3' hydroxycotinine and cotinine at baseline and calculated the ratio of these two values, i.e., the NMR, for each participant. Herein, we present summary statistics and measures of association, or lack thereof, of NMR values with a variety of behavioral parameters and clinical outcomes related to tobacco use and tobacco treatment. The NMR was calculated for 155 PWH who were currently using tobacco cigarettes. The mean age was 52.9 years, 62.3% male, 91.0% Black, and they smoked a mean of 10.6 cigarettes/day. The mean NMR was 0.43, similar to that reported from other PWH cohorts. We did not find any significant correlation between NMR and cigarettes/day, nicotine dependence, temptation to smoke, or nicotine withdrawal symptoms. We did not find that lower NMR was predictive of successful cessation, nor was it associated with varenicline intolerance in those who received varenicline. Prevention Relevance: People with HIV suffer disproportionately from lung, head and neck, and other tobacco-related cancers as a consequence of high smoking rates. There is an urgent need to mitigate this harm, and the use of the NMR to personalize tobacco treatment is an area of active interest.
Collapse
Affiliation(s)
| | - Olivia A Davis
- University of Kentucky College of Medicine, Lexington, Ketuncky
| | | | | | - Lan Li
- University of Maryland School of Medicine, Baltimore, Maryland
| | - Wendy Potts
- University of Maryland School of Medicine, Baltimore, Maryland
| | | |
Collapse
|
2
|
Kember RL, Davis CN, Feuer KL, Kranzler HR. Considerations for the application of polygenic scores to clinical care of individuals with substance use disorders. J Clin Invest 2024; 134:e172882. [PMID: 39403926 PMCID: PMC11473164 DOI: 10.1172/jci172882] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2024] Open
Abstract
Substance use disorders (SUDs) are highly prevalent and associated with excess morbidity, mortality, and economic costs. Thus, there is considerable interest in the early identification of individuals who may be more susceptible to developing SUDs and in improving personalized treatment decisions for those who have SUDs. SUDs are known to be influenced by both genetic and environmental factors. Polygenic scores (PGSs) provide a single measure of genetic liability that could be used as a biomarker in predicting disease development, progression, and treatment response. Although PGSs are rapidly being integrated into clinical practice, there is little information to guide clinicians in their responsible use and interpretation. In this Review, we discuss the potential benefits and pitfalls of the use of PGSs in the clinical care of SUDs, highlighting current research. We also provide suggestions for important considerations prior to implementing the clinical use of PGSs and recommend future directions for research.
Collapse
|
3
|
Szumska M, Mroczek P, Tyrpień-Golder K, Pastuszka B, Janoszka B. Determination of Cotinine, 3'-Hydroxycotinine and Nicotine 1'-Oxide in Urine of Passive and Active Young Smokers by LC-Orbitrap-MS/MS Technique. Molecules 2024; 29:3643. [PMID: 39125048 PMCID: PMC11313786 DOI: 10.3390/molecules29153643] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2024] [Revised: 07/29/2024] [Accepted: 07/30/2024] [Indexed: 08/12/2024] Open
Abstract
Tobacco smoke is probably the most significant factor conducing to toxic xenobiotics exposure to humans. The aim of the study was to develop a rapid and sensitive method for the determination of selected nicotine metabolites in urine of tobacco smokers and passive smokers. The method for removing protein and extracting the metabolites involved the centrifugation of urine with acetonitrile. Cotinine, trans-3'-hydroxycotinine, and (2'S)-nicotine 1'-oxide in the supernatant were determined using the LC-Orbitrap-MS/MS technique, with the selected ion monitoring (SIM) and parallel reaction monitoring (PRM) modes used. The recovery of these analytes added to the urine samples ranged from 72% to 101%. Repeatability and reproducibility were less than 3.1% and 10.1%, respectively. The study was carried out among medical students. The group was selected as representatives of young people and who as future physicians should be more aware of the effects of nicotine use. Concentration levels of cotinine and trans-3'-hydroxycotinine determined in ng/mL in the urine of cigarette smokers were 70- and 58-fold higher, respectively, compared to passive smokers. Higher concentrations were recorded in the urine of those passively exposed to tobacco smoke than in non-smokers, confirming that passive exposure to tobacco smoke is not harmless to the human body. However, no significant differences were observed in the concentration of (1'S,2'S)-nicotine 1'-oxide in the samples of individuals from various groups.
Collapse
Affiliation(s)
- Magdalena Szumska
- Department of Chemistry, Faculty of Medical Sciences, Medical University of Silesia, 40-752 Katowice, Poland; (P.M.); (K.T.-G.)
- Research and Implementation Center Silesia LabMed, Medical University of Silesia, 40-752 Katowice, Poland;
| | - Paweł Mroczek
- Department of Chemistry, Faculty of Medical Sciences, Medical University of Silesia, 40-752 Katowice, Poland; (P.M.); (K.T.-G.)
| | - Krystyna Tyrpień-Golder
- Department of Chemistry, Faculty of Medical Sciences, Medical University of Silesia, 40-752 Katowice, Poland; (P.M.); (K.T.-G.)
| | - Beata Pastuszka
- Research and Implementation Center Silesia LabMed, Medical University of Silesia, 40-752 Katowice, Poland;
| | - Beata Janoszka
- Department of Chemistry, Faculty of Medical Sciences, Medical University of Silesia, 40-752 Katowice, Poland; (P.M.); (K.T.-G.)
- Research and Implementation Center Silesia LabMed, Medical University of Silesia, 40-752 Katowice, Poland;
| |
Collapse
|
4
|
Qin R, Liu Z, Cheng AQ, Zhou XM, Su Z, Cui ZY, Li JX, Wei XW, Zhao L, Chung KF, Xiao D, Wang C. Efficacy of varenicline or bupropion and its association with nicotine metabolite ratio among smokers with COPD. Respirology 2024; 29:479-488. [PMID: 38494828 DOI: 10.1111/resp.14702] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2023] [Accepted: 02/14/2024] [Indexed: 03/19/2024]
Abstract
BACKGROUND AND OBJECTIVE Nicotine metabolic ratio (NMR) has been associated with nicotine metabolism and smoking characteristics. However, there are few studies on the potential association between NMR and smoking cessation efficacy in smokers with chronic obstructive pulmonary disease (COPD) in China or elsewhere. METHODS This study was a stratified block randomized controlled trial for smoking cessation in Chinese smokers with COPD. NMR was used as a stratification factor; slow metabolizers were defined as those with NMR <0.31, and normal metabolizers as those with NMR ≥0.31. Participants were randomly assigned to the varenicline or bupropion group. Follow-up visits were conducted at 1, 2, 4, 6, 9, 12 and 24 weeks. RESULTS Two hundred twenty-four participants were recruited and analysed from February 2019 to June 2022. In normal metabolizers, the 9-12 weeks continuous abstinence rate of varenicline (43.1%) was higher than in bupropion (23.5%) (OR = 2.47, 95% CI 1.05-5.78, p = 0.038). There was no significant difference in abstinence rates between treatment groups in slow metabolizers (54.1% vs. 45.9%, OR = 1.39, 95% CI 0.68-2.83, p = 0.366). For slow metabolizers, the total score of side effects in the varenicline group was significantly higher than the bupropion group (p = 0.048), while there was no significant difference in side effects between groups for normal metabolizers (p = 0.360). CONCLUSION Varenicline showed better efficacy than bupropion in normal metabolizers, and bupropion showed equivalent efficacy in slow metabolizers with less side effects. According to our study, NMR provides a better justification for both scientific research and tailoring optimal pharmacotherapy for smoking cessation among smokers in COPD.
Collapse
Affiliation(s)
- Rui Qin
- China-Japan Friendship Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
- Department of Tobacco Control and Prevention of Respiratory Disease, China-Japan Friendship Hospital, Beijing, China
- WHO Collaborating Center for Tobacco Cessation and Respiratory Diseases Prevention, Beijing, China
- National Clinical Research Center for Respiratory Diseases, Beijing, China
- Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, Beijing, China
- National Center for Respiratory Medicine, Beijing, China
| | - Zhao Liu
- Department of Tobacco Control and Prevention of Respiratory Disease, China-Japan Friendship Hospital, Beijing, China
- WHO Collaborating Center for Tobacco Cessation and Respiratory Diseases Prevention, Beijing, China
- National Clinical Research Center for Respiratory Diseases, Beijing, China
- Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, Beijing, China
- National Center for Respiratory Medicine, Beijing, China
| | - An-Qi Cheng
- Department of Tobacco Control and Prevention of Respiratory Disease, China-Japan Friendship Hospital, Beijing, China
- WHO Collaborating Center for Tobacco Cessation and Respiratory Diseases Prevention, Beijing, China
- National Clinical Research Center for Respiratory Diseases, Beijing, China
- Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, Beijing, China
- National Center for Respiratory Medicine, Beijing, China
| | - Xin-Mei Zhou
- Department of Tobacco Control and Prevention of Respiratory Disease, China-Japan Friendship Hospital, Beijing, China
- WHO Collaborating Center for Tobacco Cessation and Respiratory Diseases Prevention, Beijing, China
- National Clinical Research Center for Respiratory Diseases, Beijing, China
- Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, Beijing, China
- National Center for Respiratory Medicine, Beijing, China
| | - Zheng Su
- Department of Tobacco Control and Prevention of Respiratory Disease, China-Japan Friendship Hospital, Beijing, China
- WHO Collaborating Center for Tobacco Cessation and Respiratory Diseases Prevention, Beijing, China
- National Clinical Research Center for Respiratory Diseases, Beijing, China
- Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, Beijing, China
- National Center for Respiratory Medicine, Beijing, China
| | - Zi-Yang Cui
- Department of Geriatric Medicine, Beijing Shijitan Hospital, Beijing, China
| | - Jin-Xuan Li
- Department of Tobacco Control and Prevention of Respiratory Disease, China-Japan Friendship Hospital, Beijing, China
- WHO Collaborating Center for Tobacco Cessation and Respiratory Diseases Prevention, Beijing, China
- National Clinical Research Center for Respiratory Diseases, Beijing, China
- Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, Beijing, China
- National Center for Respiratory Medicine, Beijing, China
- Capital Medical University, Beijing, China
| | - Xiao-Wen Wei
- Department of Tobacco Control and Prevention of Respiratory Disease, China-Japan Friendship Hospital, Beijing, China
- WHO Collaborating Center for Tobacco Cessation and Respiratory Diseases Prevention, Beijing, China
- National Clinical Research Center for Respiratory Diseases, Beijing, China
- Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, Beijing, China
- National Center for Respiratory Medicine, Beijing, China
- Capital Medical University, Beijing, China
| | - Liang Zhao
- Department of Tobacco Control and Prevention of Respiratory Disease, China-Japan Friendship Hospital, Beijing, China
- WHO Collaborating Center for Tobacco Cessation and Respiratory Diseases Prevention, Beijing, China
- National Clinical Research Center for Respiratory Diseases, Beijing, China
- Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, Beijing, China
- National Center for Respiratory Medicine, Beijing, China
| | - Kian Fan Chung
- National Heart and Lung Institute, Imperial College London, London, UK
| | - Dan Xiao
- China-Japan Friendship Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
- Department of Tobacco Control and Prevention of Respiratory Disease, China-Japan Friendship Hospital, Beijing, China
- WHO Collaborating Center for Tobacco Cessation and Respiratory Diseases Prevention, Beijing, China
- National Clinical Research Center for Respiratory Diseases, Beijing, China
- Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, Beijing, China
- National Center for Respiratory Medicine, Beijing, China
| | - Chen Wang
- China-Japan Friendship Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
- WHO Collaborating Center for Tobacco Cessation and Respiratory Diseases Prevention, Beijing, China
- National Clinical Research Center for Respiratory Diseases, Beijing, China
- Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, Beijing, China
- National Center for Respiratory Medicine, Beijing, China
| |
Collapse
|
5
|
Cooper RK, Mahoney MC, Tiffany ST, Colder CR, Tyndale RF, Hawk LW. Relationships Between the Nicotine Metabolite Ratio and Laboratory Assessments of Smoking Reinforcement and Craving Among Adults in a Smoking Cessation Trial. Nicotine Tob Res 2024; 26:604-611. [PMID: 37996099 PMCID: PMC11033563 DOI: 10.1093/ntr/ntad232] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2023] [Revised: 09/10/2023] [Accepted: 11/20/2023] [Indexed: 11/25/2023]
Abstract
INTRODUCTION People who metabolize nicotine more quickly are generally less successful at quitting smoking. However, the mechanisms that link individual differences in the nicotine metabolite ratio (NMR), a phenotypic biomarker of the rate of nicotine clearance, to smoking outcomes are unclear. We tested the hypotheses that higher NMR is associated with greater smoking reinforcement, general craving, and cue-induced cigarette craving in a treatment-seeking sample. METHODS Participants were 252 adults who smoke cigarettes enrolled in a randomized controlled smoking cessation trial (NCT03262662) conducted in Buffalo, New York, USA. Participants completed the Choice Behavior Under Cued Conditions (CBUCC) paradigm, a laboratory choice procedure, ~1 week before the first cessation treatment visit, at which time a saliva sample was collected for NMR assessment. On each CBUCC trial, participants reported cigarette craving during cue presentation (cigarette, water) and spent $0.01-$0.25 for a chance (5%-95%) to sample the cue (one puff, sip), providing measures of smoking reinforcement (spending for cigarettes vs. water), general cigarette craving (averaged across cigarette and water cues), and cue-specific craving (cigarette craving during cigarette vs. water cues). RESULTS As observed in prior work, the NMR was significantly higher among White and female participants. As expected, both spending and cigarette craving were significantly greater on cigarette compared to water trials. However, contrary to our hypotheses, higher NMR was not associated with greater smoking reinforcement, general craving, or cue-specific craving. CONCLUSIONS The present data do not support that smoking reinforcement or craving is related to nicotine metabolism among individuals seeking to quit smoking. IMPLICATIONS Though greater smoking reinforcement, general craving, and cue-specific craving are hypothesized to be linked to faster nicotine metabolism, there was no evidence of such relationships in the present sample of adults seeking to quit smoking. Further research, including replication and consideration of alternate hypotheses, is warranted to elucidate the mechanisms by which the NMR is related to smoking cessation.
Collapse
Affiliation(s)
- Robert K Cooper
- Department of Psychology, University at Buffalo, Buffalo, NY, USA
| | | | | | - Craig R Colder
- Department of Psychology, University at Buffalo, Buffalo, NY, USA
| | - Rachel F Tyndale
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, ON, Canada
- Department of Psychiatry, Department of Pharmacology and Toxicology, University of Toronto, Toronto, ON, Canada
| | - Larry W Hawk
- Department of Psychology, University at Buffalo, Buffalo, NY, USA
| |
Collapse
|
6
|
Mestdag M, Degey S, Deflandre E. [Perioperative smoking cessation (conventional smoking and e-cigarettes) in 2023. A narrative review of the literature]. Rev Mal Respir 2024; 41:237-247. [PMID: 38429192 DOI: 10.1016/j.rmr.2024.02.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2023] [Accepted: 12/19/2023] [Indexed: 03/03/2024]
Abstract
INTRODUCTION Tobacco addiction is the leading cause of preventable death. During the perioperative period, patients who smoke are at increased risk of systemic as well as surgical site complications. STATE OF THE ART Surgery is an ideal time for change of lifestyle habits. It is vital to seize this opportunity to improve the patient's health in the long- as well as the short-term. Smoking cessation should be encouraged in all surgical patients. Initiating smoking cessation combines pharmacological treatment and a behavioral approach. In this field, significant advances have been recorded over the last decade. This review proposes a practical approach that every practitioner will be able to apply. PERSPECTIVES In this review, we will also examine ongoing research, particularly as regards vaccination and the place of biomarkers. CONCLUSIONS Smoking represents a major source of health-related complications. Smoking cessation must therefore remain a priority in the management of medical and surgical patients.
Collapse
Affiliation(s)
- M Mestdag
- Anesthésie-réanimation, université de Liège, Liège, Belgique
| | - S Degey
- Cabinet médical ASTES, Jambes, Belgique
| | - E Deflandre
- Anesthésie-réanimation, clinique Saint-Luc de Bouge, Namur, Belgique; Université de Liège, Liège, Belgique.
| |
Collapse
|
7
|
Jansen K, Tranby B, Shane A, Takeno T, Chadwick K, Sinicrope P, Shaw J, Tyndale R, Harris J, Patten C, Avey J. Implementing a Metabolism-Informed Approach for Smoking Cessation in an Alaska Tribal Health System: Study Protocol for a Single-Arm Implementation Pilot Trial. RESEARCH SQUARE 2024:rs.3.rs-3874126. [PMID: 38343834 PMCID: PMC10854299 DOI: 10.21203/rs.3.rs-3874126/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 02/17/2024]
Abstract
Background Individualized treatment for commercial tobacco smoking cessation, such as through the utilization of the nicotine metabolite ratio (NMR), offers substantial clinical benefit. NMR is a metabolism-informed biomarker that can be used to guide medication selection. NMR testing is particularly promising for tobacco cessation efforts in populations with high rates of smoking, such as some Alaska Native and American Indian (AN/AI) communities. To date, no prior study has evaluated the implementation of NMR-guided tobacco cessation with AN/AI populations. Methods The present "QUIT" protocol is a two-phase study that will occur at Southcentral Foundation (SCF), an Alaska Native-owned health system, serving 70,000 AN/AI people, based in Anchorage, Alaska. In Phase one, qualitative interviews with customer-owners (patients), providers and administrators (n = 36) and a 10-participant beta-test will be used to refine a strategy to implement NMR testing in the health system. Phase two will involve a single-arm pilot trial (n = 50) and qualitative interviews throughout data collection (n = 48) to evaluate the implementation strategy and explore the real-world acceptability and feasibility of NMR testing to guide tobacco cessation with AN/AI populations. Discussion This study utilizes a community-based participatory approach to refine and implement a nicotine metabolism-informed smoking cessation program in a Tribal healthcare setting. The process and findings from this study will reflect the importance of customer-owner choice and honor the lived experience involved in quitting commercial tobacco. Pilot study data will inform the effect and sample sizes required for a future pragmatic trial of NMR-guided smoking cessation.
Collapse
|
8
|
Medaglio D, Bilker WB, Han X, Merlin JS, Plankey M, Martin J, Crane HM, Hojat LS, Bamford L, Schnoll R, Tyndale RF, Ashare RL, Gross R. Nicotine Metabolite Ratio Decreases After Switching Off Efavirenz-Based Therapy in People With HIV Who Smoke. Clin Pharmacol Ther 2024; 115:80-85. [PMID: 37787039 PMCID: PMC10752215 DOI: 10.1002/cpt.3068] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2023] [Accepted: 09/14/2023] [Indexed: 10/04/2023]
Abstract
Rates of cigarette smoking in people with HIV (PWH) are two to three times higher than in people without HIV. Nicotine is metabolized by CYP2A6 and the nicotine metabolite ratio (NMR; 3-hydroxycotinine/cotinine) is a measure of nicotine clearance. Higher NMR has been observed in PWH and is associated with lower quit rates. Efavirenz, a mainstay antiretroviral therapy (ART) globally, partially upregulates its own metabolism through CYP2A6. We hypothesized that efavirenz also upregulates nicotine metabolism by CYP2A6, resulting in a higher NMR, and switching to non-efavirenz ART would decrease the NMR, potentially leading to improved quit rates. We compared the NMR during and after efavirenz use among PWH in a longitudinal, multisite cohort. Eligibility criteria included: (i) active cigarette smoking, (ii) ART switched from efavirenz-based to non-efavirenz-based regimen, (iii) plasma available at pre- and post-ART switch, and (iv) viral suppression during study period. Plasma cotinine and 3-hydroxycotinine were measured by liquid chromatography-tandem mass spectrometry. T-tests compared the NMR on and off efavirenz. Samples were collected between 2010 and 2019 in 72 PWH. The mean NMR difference after switching to a non-efavirenz-based regimen was -0.24 (SD: 0.37, P < 0.001); 44 PWH had at least a 0.1 decrease in NMR. Effect modification by race was present; Black PWH had a larger mean decrease. Our findings suggest that previously observed higher NMR among PWH may be due to direct pharmacologic effects of ART. Assessing the effect of ART on the NMR suggests that avoiding nicotine metabolism inducers could potentially increase quit rates.
Collapse
Affiliation(s)
- Dominique Medaglio
- Department of Epidemiology, Biostatistics & Informatics, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Warren B. Bilker
- Department of Epidemiology, Biostatistics & Informatics, University of Pennsylvania, Philadelphia, Pennsylvania, USA
- Department of Psychiatry, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Xiaoyan Han
- Department of Epidemiology, Biostatistics & Informatics, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Jessica S. Merlin
- Department of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Michael Plankey
- Department of Medicine, Georgetown University, Washington, DC, USA
| | - Jeffrey Martin
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, California, USA
| | - Heidi M. Crane
- Department of Medicine, University of Washington, Seattle, Washington, USA
| | - Leila S. Hojat
- Department of Medicine, Case Western Reserve University, Cleveland, Ohio, USA
| | - Laura Bamford
- Department of Medicine, University of California San Diego, San Diego, California, USA
| | - Robert Schnoll
- Department of Psychiatry, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Rachel F. Tyndale
- Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada
- Department of Pharmacology & Toxicology, University of Toronto, Toronto, Ontario, Canada
- The Centre for Addiction and Mental Health, Toronto, Ontario, Canada
| | - Rebecca L. Ashare
- Department of Psychology, State University of New York at Buffalo, Buffalo, New York, USA
| | - Robert Gross
- Department of Epidemiology, Biostatistics & Informatics, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| |
Collapse
|
9
|
Lee SS, Chang Y, Rigotti NA, Singer DE, Levy DE, Tyndale RF, Davis EM, Freiberg MS, King S, Wells QS, Tindle HA. Can Treatment Support Mitigate Nicotine Metabolism-Based Disparities in Smoking Abstinence? Secondary Analysis of the Helping HAND 4 Trial. Nicotine Tob Res 2023; 25:1575-1584. [PMID: 37209421 PMCID: PMC10439488 DOI: 10.1093/ntr/ntad079] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2022] [Revised: 04/23/2023] [Accepted: 05/17/2023] [Indexed: 05/22/2023]
Abstract
INTRODUCTION The nicotine metabolite ratio (NMR), a biomarker of CYP2A6-mediated nicotine metabolism, predicts the efficacy of nicotine replacement therapy (NRT), with fast metabolizers benefiting less than slow metabolizers. Whether treatment support to optimize NRT use (henceforth "treatment support") modifies this pharmacogenetic relationship is unknown. METHODS Hospitalized adult daily smokers were assigned to one of two post-discharge smoking cessation interventions offering NRT and counseling: (1) Transitional Tobacco Care Management, which delivered enhanced treatment support via free combination NRT at discharge and automated counseling, and (2) a quitline-based approach representing usual care (UC). The primary outcome was biochemically verified 7-day point prevalence abstinence 6 months after discharge. Secondary outcomes were the use of NRT and counseling during the 3-month intervention period. Logistic regression models tested for interactions between NMR and intervention, controlling for sex, race, alcohol use, and BMI. RESULTS Participants (N = 321) were classified as slow (n = 80) or fast (n = 241) metabolizers relative to the first quartile of NMR (0.012-0.219 vs. 0.221-3.455, respectively). Under UC, fast (vs. slow) metabolizers had lower odds of abstinence at 6 months (aOR 0.35, 95% CI 0.13-0.95) and similar odds of NRT and counseling use. Compared to UC, enhanced treatment support increased abstinence (aOR 2.13, 95% CI 0.98-4.64) and use of combination NRT (aOR 4.62, 95% CI 2.57-8.31) in fast metabolizers, while reducing abstinence in slow metabolizers (aOR 0.21, 95% CI 0.05-0.87; NMR-by-intervention interaction p = .004). CONCLUSIONS Treatment support increased abstinence and optimal use of NRT among fast nicotine metabolizers, thereby mitigating the gap in abstinence between fast and slow metabolizers. IMPLICATIONS In this secondary analysis of two smoking cessation interventions for recently hospitalized smokers, fast nicotine metabolizers quit at lower rates than slow metabolizers, but providing fast metabolizers with enhanced treatment support doubled the odds of quitting in this group and mitigated the disparity in abstinence between fast and slow metabolizers. If validated, these findings could lead to personalized approaches to smoking cessation treatment that improve outcomes by targeting treatment support to those who need it most.
Collapse
Affiliation(s)
- Scott S Lee
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Yuchiao Chang
- Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Nancy A Rigotti
- Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Daniel E Singer
- Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Douglas E Levy
- Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Rachel F Tyndale
- Departments of Psychiatry, and Pharmacology and Toxicology, University of Toronto and Centre for Addiction and Mental Health, Toronto, ON, Canada
| | - Esa M Davis
- Department of Medicine, University of Pittsburgh Medical Center, Pittsburgh, PA, USA
| | - Matthew S Freiberg
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Stephen King
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Quinn S Wells
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Hilary A Tindle
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| |
Collapse
|
10
|
Schnoll R, Barrila GM, Dalsimer S, Hosie Quinn M, Bauer AM, Fox E, Olonoff M, Jao NC, Leone F, Huffman MD, Khan SS, Gollan JK, Papandonatos GD, Hitsman B. Treatment adherence in a smoking cessation clinical trial for individuals with current or past major depressive disorder: Predictors and association with cessation. Addict Behav 2023; 143:107686. [PMID: 36893514 PMCID: PMC10122701 DOI: 10.1016/j.addbeh.2023.107686] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2022] [Revised: 01/24/2023] [Accepted: 03/01/2023] [Indexed: 03/07/2023]
Abstract
INTRODUCTION Individuals with major depressive disorder (MDD) exhibit high rates of tobacco use and lower responsiveness to tobacco cessation treatments. Treatment adherence is a strong predictor of treatment outcomes in the general population but has not been evaluated in this under-served community of smokers with MDD. METHODS We used data from a randomized clinical trial on smoking cessation treatment among 300 smokers with MDD to examine the rate of adherence (medication and counseling), the association of adherence with cessation outcomes, and factors associated with adherence, including demographic and smoking characteristics, psychiatric characteristics, smoking cessation processes (e.g., withdrawal, reinforcers), and treatment-related side effects (e.g., nausea). RESULTS Overall, 43.7% of participants were adherent with medication and 63.0% were adherent with counseling. Medication adherence was significantly associated with cessation, with 32.1% of adherent vs. 13.0% of non-adherent participants quitting smoking at EOT. Counseling adherence was also significantly associated with cessation, with 32.3% of adherent vs. 2.7% of non-adherent participants quitting smoking. Multivariate regression models showed that medication adherence was associated with higher engagement in complementary reinforcers and higher baseline smoking reward, while counseling adherence was associated with identifying as female, lower alcohol use and nicotine dependence, higher baseline smoking reward, and higher engagement in substitute and complementary reinforcers within the first weeks of medication use. CONCLUSIONS As with the general population of smokers, non-adherence to treatment in smokers experiencing depression is widespread and a significant barrier to cessation. Interventions that target reinforcers may improve rates of treatment adherence.
Collapse
Affiliation(s)
- Robert Schnoll
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, United States.
| | - Gabrielle M Barrila
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, United States
| | - ShelDan Dalsimer
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, United States
| | - Mackenzie Hosie Quinn
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, United States
| | - Anna-Marika Bauer
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, United States
| | - Erica Fox
- Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, United States
| | - Matthew Olonoff
- Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, United States
| | - Nancy C Jao
- Department of Psychology, Rosalind Franklin University of Medicine and Science, United States
| | - Frank Leone
- Pulmonary, Allergy, & Critical Care Division, University of Pennsylvania, United States
| | - Mark D Huffman
- Department of Medicine, Washington University School of Medicine in St. Louis, United States
| | - Sadiya S Khan
- Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, United States
| | - Jacqueline K Gollan
- Department of Psychiatry and Behavioral Sciences, Feinberg School of Medicine, Northwestern University, United States
| | - George D Papandonatos
- Department of Biostatistics and Center for Statistical Sciences, Brown University School of Public Health, United States
| | - Brian Hitsman
- Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, United States
| |
Collapse
|
11
|
Schwartz EKC, Palmisano AN, Gueorguieva R, DeVito EE, Sofuoglu M. Examining racial differences in smoking outcomes among smokers enrolled in an intravenous nicotine infusion study. Addict Behav 2023; 140:107615. [PMID: 36640662 PMCID: PMC9911383 DOI: 10.1016/j.addbeh.2023.107615] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2022] [Revised: 01/05/2023] [Accepted: 01/06/2023] [Indexed: 01/11/2023]
Abstract
INTRODUCTION Large racial disparities exist in the prevention and treatment of smoking-related diseases, and minoritized populations carry a heavier burden of smoking-related morbidity and mortality. To date, most studies investigating smoking-related illnesses have been conducted in samples in which the majority, or totality, self-identified as White or Caucasian. While Black individuals who smoke tend to have a lower rate of nicotine clearance, in part due to the use of mentholated cigarettes, less is known about how slower clearance affects their acute subjective and physiologic responses in response to either overnight abstinence or subsequent nicotine administration. This study aimed to investigate differences between the experiences of Black and White individuals who smoke across these outcomes after a period of short-term abstinence and after IV nicotine infusion. METHODS The study included 206 smokers (N = 103 Black, N = 103 White, by self-report). The study investigated self-report, physiological, and biochemical smoking-related outcomes following confirmed overnight abstinence followed by IV nicotine infusion. The outcome measures were separately analyzed with repeated-measures mixed-models. RESULTS Black individuals had lower rates of nicotine clearance and were more likely to smoke mentholated cigarettes than White individuals. Despite these differences, no differences in withdrawal, cravings, or physiological outcomes were observed between the two groups. There were some trends toward differences in subjective experiences, in that an interaction with trend level significance between race and dose was observed for negative subjective drug effects, with White smokers trending towards endorsing higher levels of negative affect after abstinence and nicotine infusion. We also observed that Black individuals trended towards experiencing more negative drug effects in response to initial nicotine delivery than to saline, whereas White individuals had no differences in negative drug effects across saline or nicotine doses. CONCLUSIONS Despite slower nicotine clearance, Black participants exhibited withdrawal and urges to smoke as severe as White participants, and did not have blunted physiological responses to overnight abstinence or administration of nicotine, which were contrary to our hypotheses. Our findings suggest minimal differences across races in the acute pharmacologic effects of nicotine. We observed trend-level differences in subjective and affective responses to nicotine. Greater insight into these differences may lead to improved prevention and treatment strategies for smoking-related illnesses for Black individuals who smoke.
Collapse
Affiliation(s)
- Elizabeth K C Schwartz
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA; Department of Psychiatry, VA Connecticut Healthcare System, West Haven, CT, USA.
| | - Alexandra N Palmisano
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA; Department of Psychiatry, VA Connecticut Healthcare System, West Haven, CT, USA
| | - Ralitza Gueorguieva
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA; Yale School of Public Health, Department of Biostatistics, New Haven, CT, USA
| | - Elise E DeVito
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
| | - Mehmet Sofuoglu
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA; Department of Psychiatry, VA Connecticut Healthcare System, West Haven, CT, USA
| |
Collapse
|
12
|
MacLean RR, Eid T, Parida S, Gueorguieva R, DeVito EE, Sofuoglu M. Threshold for the pleasurable effects of nicotine are lower than its reinforcing effects during self-administration. Exp Clin Psychopharmacol 2023; 31:37-45. [PMID: 35254839 PMCID: PMC9448824 DOI: 10.1037/pha0000556] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/26/2023]
Abstract
A recent study demonstrated that during a single sampling period, 0.1 mg of intravenous (IV) nicotine (vs. placebo) was found to be the threshold for subjective and physiological drug effects. The present study is a secondary analysis evaluating whether the threshold for subjective and physiological effects is similar when the subject has repeated opportunities to choose blinded doses of nicotine versus placebo. We also examined whether cigarette craving, withdrawal, and rate of nicotine metabolism affected nicotine reinforcement, defined by a greater number of nicotine choices than placebo. Young adult (n = 34; 68% male), daily smokers had five laboratory sessions after overnight abstinence. After sampling an IV dose of nicotine (0.0125, 0.025, 0.05, 0.1, or 0.2 mg/70 kg) versus saline (placebo), participants completed a nicotine self-administration (NSA) procedure that included 10 opportunities to self-administer IV dose of nicotine or placebo. The threshold for subjective positive effects of nicotine during the NSA was equal to or lower than the sampling period, 0.05-0.1 mg versus 0.1 mg. The threshold for nicotine-induced heart rate increase was higher during the NSA than during the sampling period (0.2 mg vs. 0.1 mg). Higher baseline craving and nicotine metabolite ratio (NMR) were associated with nicotine reinforcement at 0.2 mg and 0.1 mg doses, respectively (p < .05). The results suggest that subjective effects during NSA are reported at doses lower than the sampling period. Taken together, tobacco products thought to be subthreshold for reinforcement should be carefully evaluated for their subjective effects, including their discriminative stimulus effects. (PsycInfo Database Record (c) 2023 APA, all rights reserved).
Collapse
Affiliation(s)
- R. Ross MacLean
- Department of Psychiatry, School of Medicine, Yale University
- VA Connecticut Healthcare System, West Haven, Connecticut, United States
| | - Tore Eid
- Department of Laboratory Medicine, School of Medicine, Yale University
| | - Suprit Parida
- Department of Psychiatry, School of Medicine, Yale University
- VA Connecticut Healthcare System, West Haven, Connecticut, United States
| | - Ralitza Gueorguieva
- Department of Biostatistics, Yale University School of Public Health and School of Medicine
| | - Elise E. DeVito
- Department of Psychiatry, School of Medicine, Yale University
| | - Mehmet Sofuoglu
- Department of Psychiatry, School of Medicine, Yale University
- VA Connecticut Healthcare System, West Haven, Connecticut, United States
| |
Collapse
|
13
|
Siegel SD, Tindle HA, Bergen AW, Tyndale RF, Schnoll R. The Use of Biomarkers to Guide Precision Treatment for Tobacco Use. ADDICTION NEUROSCIENCE 2023; 6. [PMID: 37089247 PMCID: PMC10121195 DOI: 10.1016/j.addicn.2023.100076] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/18/2023]
Abstract
This review summarizes the evidence to date on the development of biomarkers for personalizing the pharmacological treatment of combustible tobacco use. First, the latest evidence on FDA-approved medications is considered, demonstrating that, while these medications offer real benefits, they do not contribute to smoking cessation in approximately two-thirds of cases. Second, the case for using biomarkers to guide tobacco treatment is made based on the potential to increase medication effectiveness and uptake and reduce side effects. Next, the FDA framework of biomarker development is presented along with the state of science on biomarkers for tobacco treatment, including a review of the nicotine metabolite ratio, electroencephalographic event-related potentials, and other biomarkers utilized for risk feedback. We conclude with a discussion of the challenges and opportunities for the translation of biomarkers to guide tobacco treatment and propose priorities for future research.
Collapse
|
14
|
Pérez-Martín H, Lidón-Moyano C, González-Marrón A, Fu M, Pérez-Ortuño R, Ballbè M, Martín-Sánchez JC, Pascual JA, Fernández E, Martínez-Sánchez JM. Variation in Nicotine Metabolization According to Biological Factors and Type of Nicotine Consumer. Healthcare (Basel) 2023; 11:healthcare11020179. [PMID: 36673548 PMCID: PMC9859072 DOI: 10.3390/healthcare11020179] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2022] [Revised: 01/03/2023] [Accepted: 01/04/2023] [Indexed: 01/10/2023] Open
Abstract
This study aims to describe the nicotine metabolite ratio among tobacco smokers and electronic cigarette (e-cigarette) users and nonusers. We analyzed pooled data from a longitudinal and a cross-sectional study of the adult population from the city of Barcelona. The final sample included information on 166 smokers, 164 e-cigarettes users with nicotine, 41 e-cigarette users without nicotine, 95 dual users (users of both products), and 508 nonusers. We used log-linear models to control for the potential confounding effect of the daily number of cigarettes smoked. Salivary nicotine metabolic rate assessment included the rate of nicotine metabolism (cotinine/nicotine) and the nicotine metabolite ratio (trans-3′-hydroxycotinine/cotinine). Exclusive users of e-cigarette without nicotine have the lowest rate of nicotine metabolism (Geometric mean: 0.08, p-values < 0.001) while cigarette smokers have the highest (Geometric mean: 2.08, p-values < 0.001). Nonusers have lower nicotine metabolic rate than cigarette smokers (Geometric means: 0.23 vs. 0.18, p-value < 0.05). Younger individuals (18−44 years) have a higher rate of nicotine metabolism than older individuals (45−64 years and 65−89) (Geometric means: 0.53 vs. 0.42 and 0.31, respectively, p-values < 0.01) and individuals with lower body mass index (21−25 kg/m2) have a higher rate of nicotine metabolism than the rest (26−30 kg/m2 and 31−60 kg/m2) (Geometric means: 0.52 vs. 0.35 and 0.36, respectively-values < 0.01). Nicotine metabolic rates are useful biomarkers when reporting smoking status and biological differences between individuals.
Collapse
Affiliation(s)
- Hipólito Pérez-Martín
- Group of Evaluation of Health Determinants and Health Policies, Department of Basic Sciences, Universitat Internacional de Catalunya, Carrer de Josep Trueta s/n, 08195 Barcelona, Spain
| | - Cristina Lidón-Moyano
- Group of Evaluation of Health Determinants and Health Policies, Department of Basic Sciences, Universitat Internacional de Catalunya, Carrer de Josep Trueta s/n, 08195 Barcelona, Spain
- Correspondence: (C.L.-M.); (A.G.-M.)
| | - Adrián González-Marrón
- Group of Evaluation of Health Determinants and Health Policies, Department of Basic Sciences, Universitat Internacional de Catalunya, Carrer de Josep Trueta s/n, 08195 Barcelona, Spain
- Correspondence: (C.L.-M.); (A.G.-M.)
| | - Marcela Fu
- Tobacco Control Unit, Cancer Prevention and Control Program, Institut Català d’Oncologia, 08908 Barcelona, Spain
- Tobacco Control Research Group, Epidemiology and Public Health Program, Institut d’Investigació Biomèdica de Bellvitge—IDIBELL, 08908 Barcelona, Spain
- School of Medicine and Health Sciences, Universitat de Barcelona, 08007 Barcelona, Spain
- Center for Biomedical Research in Respiratory Diseases (CIBERES), Instituto de Salud Carlos III, 28220 Madrid, Spain
| | - Raúl Pérez-Ortuño
- Group of Integrative Pharmacology and Systems Neuroscience, Neurosciences Programme, IMIM (Hospital del Mar Medical Research Institute), Parc de Recerca Biomèdica de Barcelona, 08003 Barcelona, Spain
| | - Montse Ballbè
- Tobacco Control Unit, Cancer Prevention and Control Program, Institut Català d’Oncologia, 08908 Barcelona, Spain
- Tobacco Control Research Group, Epidemiology and Public Health Program, Institut d’Investigació Biomèdica de Bellvitge—IDIBELL, 08908 Barcelona, Spain
- Center for Biomedical Research in Respiratory Diseases (CIBERES), Instituto de Salud Carlos III, 28220 Madrid, Spain
- Addictions Unit, Institute of Neurosciences, Hospital Clínic de Barcelona, 08036 Barcelona, Spain
| | - Juan Carlos Martín-Sánchez
- Group of Evaluation of Health Determinants and Health Policies, Department of Basic Sciences, Universitat Internacional de Catalunya, Carrer de Josep Trueta s/n, 08195 Barcelona, Spain
| | - José A. Pascual
- Group of Integrative Pharmacology and Systems Neuroscience, Neurosciences Programme, IMIM (Hospital del Mar Medical Research Institute), Parc de Recerca Biomèdica de Barcelona, 08003 Barcelona, Spain
- Department of Medicine and Life Sciences, Universitat Pompeu Fabra, Barcelona Biomedical Research Park (PRBB), 08003 Barcelona, Spain
| | - Esteve Fernández
- Tobacco Control Unit, Cancer Prevention and Control Program, Institut Català d’Oncologia, 08908 Barcelona, Spain
- Tobacco Control Research Group, Epidemiology and Public Health Program, Institut d’Investigació Biomèdica de Bellvitge—IDIBELL, 08908 Barcelona, Spain
- School of Medicine and Health Sciences, Universitat de Barcelona, 08007 Barcelona, Spain
- Center for Biomedical Research in Respiratory Diseases (CIBERES), Instituto de Salud Carlos III, 28220 Madrid, Spain
| | - Jose M. Martínez-Sánchez
- Group of Evaluation of Health Determinants and Health Policies, Department of Basic Sciences, Universitat Internacional de Catalunya, Carrer de Josep Trueta s/n, 08195 Barcelona, Spain
| |
Collapse
|
15
|
Arens Y, Bilker WB, Han X, Plankey M, Ware D, Friedman MR, D'Souza G, Stosor V, Shoptaw S, Schnoll RA, Tyndale RF, Ashare R, Gross R. Brief Report: HIV Infection Does Not Explain Higher Nicotine Metabolism in People Living With HIV. J Acquir Immune Defic Syndr 2022; 91:497-501. [PMID: 36083509 PMCID: PMC9649853 DOI: 10.1097/qai.0000000000003089] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2022] [Accepted: 08/29/2022] [Indexed: 02/04/2023]
Abstract
BACKGROUND Smoking contributes to significant morbidity and mortality in people with HIV. People with HIV have relatively high nicotine metabolism rates, as measured by the nicotine metabolite ratio (NMR, 3-hydroxycotinine/cotinine). A higher NMR is associated with difficulty quitting smoking. We hypothesized that HIV infection might upregulate nicotine metabolism. SETTING A retrospective study of male current smokers in the Multicenter AIDS Cohort Study who HIV seroconverted between 1985 and 1993. METHODS Eligibility included having plasma stored before and after confirmed HIV seroconversion and current tobacco use. Samples were selected from the closest available visits before (median 3.3 months) and after (median 9.4 months) seroconversion. Antiretroviral therapy use was exclusionary. Cotinine and 3-hydroxycotinine were measured using liquid chromatography-tandem mass spectrometry. We compared NMR from plasma pre-HIV and post-HIV infection using signed-rank tests. We targeted a sample size of 71 pairs to achieve 80% power to detect a 0.1 unit increase in NMR with P = 0.05. RESULTS We analyzed paired samples from 78 participants; the median age was 34.5 years [interquartile range (IQR 29-40 years)]. The median NMR pre-HIV and post-HIV was 0.45 (IQR 0.32-0.54) and 0.46 (IQR 0.34-0.56), respectively. The median change in NMR postseroconversion was +0.01 (IQR -0.05, +0.09), P = 0.25. Stratification of median change in NMR by timing between samples or time since HIV seroconversion did not alter this finding. CONCLUSIONS Acquiring HIV had no measurable effect on NMR. We postulate that upregulation of the NMR may be due to direct pharmacologic effects of HIV medications or metabolic changes in response to HIV infection.
Collapse
Affiliation(s)
- Yotam Arens
- Division of Infectious Diseases, Departments of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA
| | - Warren B Bilker
- Departments of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA
| | - Xiaoyan Han
- Departments of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA
| | - Michael Plankey
- Department of Medicine, Division of General Internal Medicine, Georgetown University Medical Center, Washington, DC
| | - Deanna Ware
- Department of Medicine, Division of General Internal Medicine, Georgetown University Medical Center, Washington, DC
| | - M Reuel Friedman
- Department of Infectious Diseases and Microbiology, School of Public Health, University of Pittsburgh, Pittsburgh, PA
| | - Gypsyamber D'Souza
- Department of Epidemology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD
| | - Valentina Stosor
- Division of Infectious Diseases, Northwestern University Feinberg School of Medicine, Chicago, IL
| | - Steven Shoptaw
- Department of Family Medicine, University of California, Los Angeles, CA
| | - Robert A Schnoll
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
- Abramson Cancer Center, Penn Medicine, Philadelphia, PA
| | - Rachel F Tyndale
- Departments of Pharmacology and Toxicology, and Psychiatry, University of Toronto, Toronto, Ontario, Canada
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada
| | - Rebecca Ashare
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
- Department of Psychology, State University of New York at Buffalo, Buffalo, NY; and
| | - Robert Gross
- Division of Infectious Diseases, Departments of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA
- Departments of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA
- Center for Clinical Epidemiology and Biostatistics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| |
Collapse
|
16
|
Development of an Ultra-High Performance Liquid Chromatography method for the simultaneous mass detection of tobacco biomarkers in urine. J Chromatogr B Analyt Technol Biomed Life Sci 2022; 1210:123476. [PMID: 36174263 DOI: 10.1016/j.jchromb.2022.123476] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2022] [Revised: 08/24/2022] [Accepted: 09/17/2022] [Indexed: 11/22/2022]
Abstract
The quantification of tobacco exposure biomarkers is relevant to follow the patients' tobacco use. They allow to discriminate between tobacco users, non-users, passive smokers, and nicotine products users, such as in nicotine replacement therapy. The aim of this study was to develop and validate a quantification method of tobacco biomarkers of choice - nicotine, cotinine, trans-3'-hydroxycotinine, anatabine and anabasine - in urine. The challenge was to develop an easy and rapid liquid chromatography method requiring only one extraction step and allowing simultaneous detections. Some methods are described in the literature but need specific investment in terms of instrumentation and users training. Here, the developed method had to be carried out with instrumentation easily accessible for medical laboratories. The extraction of the analytes was performed by Supported Liquid Extraction (SLE), which consists in liquid-liquid extraction but supported by a sorbent. It allows to insure efficient neutrals extraction with less organic solvent and without any emulsion formation. 200 µl of basified urine - analytes of interest are neutral in this condition - were loaded on Novum SLE 96-Well Plates (Phenomenex) and analytes were eluted with 1 % formic acid in dichloromethane/propan-2-ol (95/5). After solvent evaporation, samples were reconstituted with 100 µl of water for injection. A mass detector (QDa, Waters) was used to detect analytes, this pre-optimised quadrupole mass analyser being less expensive and requiring less adjustments than traditional mass spectrometers while benefiting of the reliability of mass spectral data. This detector was integrated after an Ultra-high performance liquid chromatography (UHPLC) separation on a BEH C18 column (Waters) at a flow rate of 0.5 ml/min. A gradient elution of H2O (pH 10 with NH4OH) and CH3CN was used. Finally, the developed method was validated. This new method is conclusive to assess the patients' tobacco exposure and is easy to implement in medical laboratories.
Collapse
|
17
|
Baurley JW, Bergen AW, Ervin CM, Park SSL, Murphy SE, McMahan CS. Predicting nicotine metabolism across ancestries using genotypes. BMC Genomics 2022; 23:663. [PMID: 36131240 PMCID: PMC9490935 DOI: 10.1186/s12864-022-08884-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2021] [Accepted: 09/09/2022] [Indexed: 11/24/2022] Open
Abstract
BACKGROUND There is a need to match characteristics of tobacco users with cessation treatments and risks of tobacco attributable diseases such as lung cancer. The rate in which the body metabolizes nicotine has proven an important predictor of these outcomes. Nicotine metabolism is primarily catalyzed by the enzyme cytochrone P450 (CYP2A6) and CYP2A6 activity can be measured as the ratio of two nicotine metabolites: trans-3'-hydroxycotinine to cotinine (NMR). Measurements of these metabolites are only possible in current tobacco users and vary by biofluid source, timing of collection, and protocols; unfortunately, this has limited their use in clinical practice. The NMR depends highly on genetic variation near CYP2A6 on chromosome 19 as well as ancestry, environmental, and other genetic factors. Thus, we aimed to develop prediction models of nicotine metabolism using genotypes and basic individual characteristics (age, gender, height, and weight). RESULTS We identified four multiethnic studies with nicotine metabolites and DNA samples. We constructed a 263 marker panel from filtering genome-wide association scans of the NMR in each study. We then applied seven machine learning techniques to train models of nicotine metabolism on the largest and most ancestrally diverse dataset (N=2239). The models were then validated using the other three studies (total N=1415). Using cross-validation, we found the correlations between the observed and predicted NMR ranged from 0.69 to 0.97 depending on the model. When predictions were averaged in an ensemble model, the correlation was 0.81. The ensemble model generalizes well in the validation studies across ancestries, despite differences in the measurements of NMR between studies, with correlations of: 0.52 for African ancestry, 0.61 for Asian ancestry, and 0.46 for European ancestry. The most influential predictors of NMR identified in more than two models were rs56113850, rs11878604, and 21 other genetic variants near CYP2A6 as well as age and ancestry. CONCLUSIONS We have developed an ensemble of seven models for predicting the NMR across ancestries from genotypes and age, gender and BMI. These models were validated using three datasets and associate with nicotine dosages. The knowledge of how an individual metabolizes nicotine could be used to help select the optimal path to reducing or quitting tobacco use, as well as, evaluating risks of tobacco use.
Collapse
Affiliation(s)
| | - Andrew W. Bergen
- BioRealm LLC, 340 S Lemon Ave, Suite 1931, 91789 Walnut, CA USA
- Oregon Research Institute, 3800 Sports Way, 97477 Springfield, OR USA
| | | | | | - Sharon E. Murphy
- University of Minnesota, 2231 6th St SE, 55455 Minneapolis, MN USA
| | | |
Collapse
|
18
|
Tomaz PRX, Gonçalves TS, Santos JR, Scholz J, Abe TO, Gaya PV, Figueiredo EC, de Faria HD, Martins I, Pego AMF, Bismara BA, Yonamine M, Pereira AC, Santos PCJL. Evaluation of the nicotine metabolite ratio in smoking patients treated with varenicline and bupropion. Front Pharmacol 2022; 13:900112. [PMID: 35935834 PMCID: PMC9354088 DOI: 10.3389/fphar.2022.900112] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2022] [Accepted: 06/29/2022] [Indexed: 11/25/2022] Open
Abstract
Background: Smoking is the leading cause of preventable death worldwide. It is responsible for several types of cancer, cardiovascular diseases, and diseases of the reproductive system, among others. Therefore, advances in research are increasingly necessary in order to make smoking cessation treatment more effective. Some studies have investigated the association of the nicotine metabolite ratio (NMR) with general characteristics and treatment outcomes. In the present study, the main aim was to evaluate the NMR in smoking patients from an Assistance Program of a tertiary cardiology hospital. Methodology: Serum samples were collected from 185 patients at T0 (while patients were still smoking and before starting pharmacological treatment). Cotinine and hydroxycotinine analytes were measured using liquid-chromatography tandem mass-spectrometry (LC-MS/MS). By looking at the relationship between hydroxycotinine and cotinine, we can obtain the NMR, with which it is possible to classify patients into slow metabolizers (NMR < 0.31), as well as normal or fast metabolizers (NMR ≥ 0.31). Results: From 185 patients, 55 were considered slow metabolizers and 130 as normal/fast. The metabolite averages were associated with the number of cigarettes smoked per day (p < 0.001 for cotinine and 0.023 hydroxycotinine). However, we were unable to analyze the association of the NMR with general and clinical characteristics of patients under smoking cessation treatment. Conclusion: We were able to evaluate the NMR, and to observe categories of metabolizers in Brazilian patients under pharmacological treatments. Thus, this study can contribute to the indication of a form of analysis, which might form part of the customization of smoking cessation treatments and, consequently, improve the success rates.
Collapse
Affiliation(s)
- Paulo Roberto Xavier Tomaz
- Laboratory of Genetics and Molecular Cardiology, Instituto do Coracão (InCor), Hospital das Clinicas HCFMUSP, Faculdade de Medicina, Universidade de São Paulo, São Paulo, Brazi
| | - Thuane Sales Gonçalves
- Laboratory of Clinical Pharmacology and Translational Research, Department of Pharmacology, Escola Paulista de Medicina, Universidade Federal de São Paulo EPM-Unifesp, São Paulo, Brazil
| | - Juliana Rocha Santos
- Laboratory of Genetics and Molecular Cardiology, Instituto do Coracão (InCor), Hospital das Clinicas HCFMUSP, Faculdade de Medicina, Universidade de São Paulo, São Paulo, Brazi
| | - Jaqueline Scholz
- Smoking Cessation Program Department, Instituto do Coracão (InCor), Hospital das Clínicas HCFMUSP, Faculdade de Medicina, Universidade de São Paulo, São Paulo, Brazil
| | - Tânia Ogawa Abe
- Smoking Cessation Program Department, Instituto do Coracão (InCor), Hospital das Clínicas HCFMUSP, Faculdade de Medicina, Universidade de São Paulo, São Paulo, Brazil
| | - Patrícia Viviane Gaya
- Smoking Cessation Program Department, Instituto do Coracão (InCor), Hospital das Clínicas HCFMUSP, Faculdade de Medicina, Universidade de São Paulo, São Paulo, Brazil
| | - Eduardo Costa Figueiredo
- Laboratory of Toxicant and Drug Analyses - LATF, Federal University of Alfenas - Unifal-MG, Alfenas, MG, Brazil
| | - Henrique Dipe de Faria
- Laboratory of Toxicant and Drug Analyses - LATF, Federal University of Alfenas - Unifal-MG, Alfenas, MG, Brazil
| | - Isarita Martins
- Laboratory of Toxicant and Drug Analyses - LATF, Federal University of Alfenas - Unifal-MG, Alfenas, MG, Brazil
| | - Ana Miguel Fonseca Pego
- John Jay College of Criminal Justice, City University of New York, New York City, GA, United States
| | - Beatriz Aparecida Bismara
- Department of Clinical and Toxicological Analyses, School of Pharmaceutical Sciences, University of São Paulo, São Paulo, Brazil
| | - Maurício Yonamine
- Department of Clinical and Toxicological Analyses, School of Pharmaceutical Sciences, University of São Paulo, São Paulo, Brazil
| | - Alexandre Costa Pereira
- Laboratory of Genetics and Molecular Cardiology, Instituto do Coracão (InCor), Hospital das Clinicas HCFMUSP, Faculdade de Medicina, Universidade de São Paulo, São Paulo, Brazi
| | - Paulo Caleb Júnior Lima Santos
- Laboratory of Clinical Pharmacology and Translational Research, Department of Pharmacology, Escola Paulista de Medicina, Universidade Federal de São Paulo EPM-Unifesp, São Paulo, Brazil
- *Correspondence: Paulo Caleb Júnior Lima Santos,
| |
Collapse
|
19
|
Carroll DM, Murphy S, Meier E, Rhodes K, Dorr C, Braaten G, Jacobson PA, Frizzell L, Tyndale RF, Hatsukami D, Hernandez C. Exploring Potential for a Personalized Medicine Approach to Smoking Cessation With an American Indian Tribe. Nicotine Tob Res 2022; 25:120-126. [PMID: 35661899 PMCID: PMC9717394 DOI: 10.1093/ntr/ntac141] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2021] [Revised: 04/28/2022] [Accepted: 06/03/2022] [Indexed: 01/03/2023]
Abstract
INTRODUCTION A potential precision medicine approach to smoking cessation is tailoring pharmacotherapy to a biomarker known as the nicotine metabolite ratio (NMR). Little is known about the potential impact and acceptability of this approach for American Indian (AI) persons. AIMS AND METHODS Tribal-academic collaboration was formed and during 2019-2020 AI adults who smoke(N = 54) were recruited to (1) examine correlations between NMR, dependence, and smoking exposure; (2) assess the extent to which pharmacotherapy preference aligned with NMR-informed recommendations; (3) explore acceptability of NMR-informed pharmacotherapy selection. Participants provided samples for assessment of salivary NMR and urinary total nicotine equivalents (TNE) and completed a questionnaire that assessed cigarettes per day (CPD), Fagerstrom Test for Cigarette Dependence (FTCD), pharmacotherapy preference, and perceptions of NMR-informed pharmacotherapy selection. RESULTS Significant positive correlations were observed between NMR and FTCD (r = 0.29;p = .0383) and its abbreviated version Heaviness of Smoking Index (HIS) (r = 0.28;p =.0426). Post-hoc analyses suggest that relationships between dependence and NMR were driven by time to first cigarette. Nonsignificant, but directionally consistent, relationships were observed between NMR and CPD (r = 0.21; p =0.1436) and TNE (r = 0.24;p = .2906). Most participants preferred nicotine replacement therapy (71%) over varenicline (29%) and preference for pharmacotherapy matched NMR-based recommendations in 54% of participants. NMR-informed pharmacotherapy selection was supported by 62% of participants. CONCLUSION In a sample of AI adults who smoke, NMR was related to cigarette dependence and about one-half of participants' pharmacotherapy preference matched their NMR-informed recommendation. There was lower acceptability of NMR-informed approach in this sample of AI adults than prior studies among white or black/African American people who smoke. IMPLICATIONS Relationships between NMR, dependence, and self-preference for pharmacotherapy suggest that NMR-informed pharmacotherapy selection may have potential for enhancing smoking quitting success in this Tribe. Lower acceptability of NMR-informed pharmacotherapy in this Tribe suggests that this approach may not be equitably utilized. Future work could include identifying community-driven solutions to mitigate precision medicine concerns.
Collapse
Affiliation(s)
- Dana Mowls Carroll
- Corresponding Author: Dana Mowls Carroll, PhD, MPH, 420 Delaware St SE Minneapolis, MN 55455, USA; Telephone: (612)-624-0132; E-mail:
| | - Sharon Murphy
- Department of Biochemistry, Molecular Biology, and Biophysics, University of Minnesota, Minneapolis, MN, USA
| | - Ellen Meier
- Department of Psychology, University of Wisconsin Stevens Point, Stevens Point, WI, USA
| | - Kristine Rhodes
- American Indian Cancer Foundation and Asemaake, LLC, Minneapolis, MN, USA
| | - Casey Dorr
- Department of Nephrology, Hennepin Healthcare Research Institute; Department of Medicine, University of Minnesota, Minneapolis, MN, USA
| | - Greg Braaten
- Minnesota Cancer Clinical Trials Network, Minneapolis, MN, USA
| | - Pamala A Jacobson
- Department of Experimental and Clinical Pharmacology, University of Minnesota, Minneapolis, MN, USA
| | - Linda Frizzell
- Division of Environmental Health Sciences, School of Public Health, University of Minnesota, Minneapolis, MN, USA
| | - Rachel F Tyndale
- Department of Pharmacology & Toxicology, and Psychiatry, University of Toronto and Centre for Addiction and Mental Health, Toronto, ON, Canada
| | - Dorothy Hatsukami
- Department of Psychiatry and Behavioral Sciences, University of Minnesota, Minneapolis, MN, USA
| | - Carol Hernandez
- Minnesota Cancer Clinical Trials Network, Minneapolis, MN, USA
| |
Collapse
|
20
|
Bien-Gund CH, Bilker W, Schnoll RA, Tyndale RF, Ho JI, Bremner R, Ashare RL, Gross R. Brief Report: Nicotine Metabolism Ratio Increases in HIV-Positive Smokers on Effective Antiretroviral Therapy: A Cohort Study. J Acquir Immune Defic Syndr 2022; 89:428-432. [PMID: 34879005 PMCID: PMC8881327 DOI: 10.1097/qai.0000000000002880] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2021] [Accepted: 11/15/2021] [Indexed: 11/25/2022]
Abstract
BACKGROUND People with HIV (PWH) smoke tobacco at much higher rates than the general population. Previous research has shown that PWH have faster nicotine metabolism than HIV-uninfected individuals, which may underlie this disparity, but the cause is unknown. We investigated whether higher nicotine metabolite ratio (NMR; 3-hydroxycotinine:cotinine), a validated biomarker of nicotine metabolism through CYP2A6, was associated with antiretroviral use among HIV-infected smokers. METHODS We conducted a retrospective cohort study of HIV-positive smokers in the University of Pennsylvania Center for AIDS Research cohort. We compared the NMR before viral suppression (>10,000 copies/mL) and after viral suppression on antiretroviral therapy (<200 copies/mL). We used mixed-effects linear regression to analyze the change in NMR after viral suppression and assessed for effect modification by efavirenz use. RESULTS Eighty-nine individuals were included in the study. We observed effect modification by efavirenz use (interaction term for efavirenz use, P < 0.001). Among those on nonefavirenz regimens, the mean NMR increased by 0.14 (95% confidence interval: 0.05 to 0.23, P = 0.002). Among those on efavirenz-containing regimens, the mean NMR increased by 0.53 (95% confidence interval: 0.39-0.66, P < 0.001). CONCLUSIONS We observed a clinically and statistically significant increase in NMR after viral suppression among smokers with HIV, which more than doubled among those on efavirenz-based regimens. Higher NMR among HIV-positive smokers on antiretroviral therapy may help explain the higher rates of tobacco use and lower quit rates among PWH in care. These findings suggest that regimen choice and other modifiable factors may be targets for future attempts to increase success rates for tobacco cessation among PWH.
Collapse
Affiliation(s)
- Cedric H. Bien-Gund
- Division of Infectious Diseases, Department of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, USA
| | - Warren Bilker
- Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, USA
| | - Robert A. Schnoll
- Department of Psychiatry and the Abramson Cancer Center, University of Pennsylvania Perelman School of Medicine, Philadelphia, USA
| | - Rachel F. Tyndale
- Department of Pharmacology and Toxicology & Psychiatry, University of Toronto, Toronto, Canada
- Campbell Family Mental Health Research Institute, Center for Addiction and Mental Health, Toronto, Canada
| | - Joshua I. Ho
- University of Colorado School of Medicine, Aurora, CO, USA
| | - Remy Bremner
- Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, USA
| | - Rebecca L. Ashare
- Department of Psychiatry and the Abramson Cancer Center, University of Pennsylvania Perelman School of Medicine, Philadelphia, USA
- Department of Psychology, State University of New York at Buffalo, NY
| | - Robert Gross
- Division of Infectious Diseases, Department of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, USA
- Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, USA
| |
Collapse
|
21
|
Maternal nicotine metabolism moderates the impact of maternal cigarette smoking on infant birth weight: A Collaborative Perinatal Project investigation. Drug Alcohol Depend 2022; 233:109358. [PMID: 35247723 PMCID: PMC8977115 DOI: 10.1016/j.drugalcdep.2022.109358] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/14/2021] [Revised: 02/11/2022] [Accepted: 02/12/2022] [Indexed: 11/21/2022]
Abstract
BACKGROUND Maternal cigarette smoking is an important modifiable risk factor for low birth weight in the US. We investigated the maternal nicotine metabolite ratio (NMR; trans-3'-hydroxycotinine/cotinine) - a genetically-informed biomarker of nicotine clearance - as a moderator of links between prenatal cigarette use and birth weight. We also explored the role of race in these associations. METHODS Participants were 454 pregnant women (Mage = 25 years; 11% Black) who smoked cigarettes and their 537 infants from the Collaborative Perinatal Project. Cigarettes smoked per day were assessed at each prenatal visit; maternal NMR was assayed from third trimester serum. Birth weight was obtained from medical records. Generalized estimating equations were used to evaluate associations between cigarette smoking, NMR, race, and birth weight. RESULTS NMR moderated continuous associations between cigarettes per day over pregnancy and infant birth weight (p = .025). Among women who smoked at moderate levels (<15 cigarettes per day), those with slower NMR showed ~50-100 g decrements in birth weight versus those with faster NMR., while there were no significant associations between NMR and birth weight among women who smoked 15+ cigarettes per day. Although effects of NMR on birthweight were similar for Black and white women, Black women showed significantly slower NMR (p < .001). CONCLUSIONS This is the first demonstration that the maternal nicotine metabolism phenotype moderates associations between maternal smoking during pregnancy and birth weight. Infants of women with slower nicotine metabolism - including disproportionate representation of Black women - may be at heightened risk for morbidity from maternal smoking.
Collapse
|
22
|
Leone FT, Evers-Casey S. Tobacco Use Disorder. Med Clin North Am 2022; 106:99-112. [PMID: 34823737 PMCID: PMC8630801 DOI: 10.1016/j.mcna.2021.08.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
Abstract
Tobacco use disorder is highly prevalent; more than a billion individuals use tobacco worldwide. Popular views on the addictive potential of tobacco often underestimate the complex neural adaptations that underpin continued use. Although sometimes trivialized as a minor substance, effects of nicotine on behavior lead to profound morbidity over a lifetime of exposure. Innovations in processing have led to potent forms of tobacco and delivery devices. Proactive treatment strategies focus on pharmacotherapeutic interventions. Innovations on the horizon hold promise to help clinicians address this problem in a phenotypically tailored manner. Efforts are needed to prevent tobacco use for future generations.
Collapse
Affiliation(s)
- Frank T Leone
- Comprehensive Smoking Treatment Program, Penn Lung Center, Suite 251 Wright-Saunders Building, 51 North 39th Street, Philadelphia, PA, USA; Abramson Cancer Center, University of Pennsylvania, Perelman School of Medicine, Philadelphia, PA, USA.
| | - Sarah Evers-Casey
- Comprehensive Smoking Treatment Program, Penn Lung Center, Suite 251 Wright-Saunders Building, 51 North 39th Street, Philadelphia, PA, USA
| |
Collapse
|
23
|
Siegel SD, Brooks M, Curriero FC. Operationalizing the Population Health Framework: Clinical Characteristics, Social Context, and the Built Environment. Popul Health Manag 2021; 24:454-462. [PMID: 34406088 DOI: 10.1089/pop.2020.0170] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
As a framework, population health emphasizes health outcomes for entire populations, the broad range of determinants of these outcomes, and the comparative effectiveness of medical and public health interventions. In practice, however, many contemporary population health programs instead focus on small subsets of patients who account for a disproportionate share of health care utilization, often with disappointing results. The authors proposed a new approach to operationalize population health in clinical settings, with the example of tobacco use. Electronic health record (EHR) data from a mid-Atlantic health system were used to: (1) define and describe a hospital-based population of current smokers, (2) analyze the demographic characteristics of the population to consider how the social context may impact treatment, and (3) join EHR data with public licensing data on tobacco retail locations to assess the relationship between the built environment and smoking status. Out of a total of 20,310 unique adult admissions to the health system, 3749 (18.5%) were current smokers. Compared to never smokers, current smokers were significantly younger, more likely to be male, more likely to be Black/African American, less likely to be Hispanic/Latino/a, and more likely to be on Medicaid or be self-pay. Current vs. former smokers had significantly higher exposure to tobacco retail locations, even after adjusting for demographic and other covariates. By defining populations around leading modifiable medical determinants of health, and accounting for the larger context of sociodemographic factors and the built environment, health systems can invest in comprehensive programs designed to produce the greatest population health returns.
Collapse
Affiliation(s)
- Scott D Siegel
- Value Institute and Christiana Care Health System, Newark, Delaware, USA.,Helen F. Graham Cancer Center & Research Institute, Christiana Care Health System, Newark, Delaware, USA
| | - Madeline Brooks
- Value Institute and Christiana Care Health System, Newark, Delaware, USA
| | - Frank C Curriero
- Department of Epidemiology, Johns Hopkins Spatial Science for Public Health Center, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| |
Collapse
|
24
|
Schnoll R, Paul Wileyto E, Bauer AM, Fox E, Leone F, Lerman C, Tyndale RF, George TP, Hawk L, Cinciripini P, Quinn M, Purnell J, Hatzell J, Hitsman B. Comparing the Rate of Nicotine Metabolism Among Smokers With Current or Past Major Depressive Disorder. Am J Addict 2021; 30:382-388. [PMID: 33772971 DOI: 10.1111/ajad.13155] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2020] [Revised: 01/15/2021] [Accepted: 01/21/2021] [Indexed: 11/28/2022] Open
Abstract
BACKGROUND AND OBJECTIVES Persons with current or past major depressive disorder (MDD) vs those without have higher smoking rates. The nicotine metabolite ratio (NMR) represents variation in the rate of nicotine metabolism and has been associated with smoking behaviors and response to tobacco treatments. We compared NMR between smokers with current or past MDD (MDD+) vs smokers without MDD (MDD-). We also assessed correlates of NMR and compared withdrawal and craving between MDD+ and MDD- smokers. METHODS Using baseline data from two clinical trials and propensity score weighting based on sex, race, body mass index, and smoking rate, we compared NMR between MDD+ (N = 279) and MDD- (N = 1575) smokers. We also compared groups on and nicotine withdrawal and craving. RESULTS Mean NMR (β = -.02, 95% confidence interval [CI]: -0.05 to 0.01, P = .13) and the distribution of smokers across NMR quartiles (odds ratio [OR] = 0.76, 95% CI: 0.50 to 1.16, P = .21) were similar between MDD+ and MDD- samples. This relationship was not affected by antidepressant medication. In the MDD+ sample, African Americans had significantly lower mean NMR, while older smokers and smokers with lower education had higher mean NMR (Ps < .05). MDD+ smokers had significantly higher withdrawal and craving than MDD- smokers (Ps < .05). DISCUSSION AND CONCLUSIONS While variability in NMR may not explain differences in smoking rates between MDD+ and MDD- smokers, MDD+ smokers report increased withdrawal and craving. SCIENTIFIC SIGNIFICANCE In this first study to assess NMR among MDD+ smokers, the findings underscore the need to address withdrawal and craving within smoking cessation treatments for those with MDD. (Am J Addict 2021;00:00-00).
Collapse
Affiliation(s)
- Robert Schnoll
- Department of Psychiatry, Abramson Cancer Center, University of Pennsylvania, Philadelphia, Pennsylvania
| | - E Paul Wileyto
- Center for Clinical Epidemiology and Biostatistics, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Anna-Marika Bauer
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Erica Fox
- Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Evanston, Illinois
| | - Frank Leone
- Pulmonary, Allergy, & Critical Care Division, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Caryn Lerman
- Keck School of Medicine, USC Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, California
| | - Rachel F Tyndale
- Department of Psychiatry, Department of Pharmacology and Toxicology, Division of Brain and Therapeutics, Centre for Addiction and Mental Health, Campbell Family Mental Health Research Institute, University of Toronto, Toronto, Ontario, Canada
| | - Tony P George
- Addictions Division, Centre for Addiction and Mental Health, Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada
| | - Larry Hawk
- Department of Psychology, State University of New York Buffalo, Buffalo, New York
| | - Paul Cinciripini
- Department of Behavioral Science, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Mackenzie Quinn
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Janelle Purnell
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Jane Hatzell
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Brian Hitsman
- Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Evanston, Illinois
| |
Collapse
|
25
|
Bourdon JL, Davies RA, Long EC. Four Actionable Bottlenecks and Potential Solutions to Translating Psychiatric Genetics Research: An Expert Review. Public Health Genomics 2020; 23:171-183. [PMID: 33147585 PMCID: PMC7854816 DOI: 10.1159/000510832] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2020] [Accepted: 07/27/2020] [Indexed: 11/19/2022] Open
Abstract
BACKGROUND Psychiatric genetics has had limited success in translational efforts. A thorough understanding of the present state of translation in this field will be useful in the facilitation and assessment of future translational progress. PURPOSE A narrative literature review was conducted. Combinations of 3 groups of terms were searched in EBSCOhost, Google Scholar, and PubMed. The review occurred in multiple steps, including abstract collection, inclusion/exclusion criteria review, coding, and analysis of included papers. RESULTS One hundred and fourteen articles were analyzed for the narrative review. Across those, 4 bottlenecks were noted that, if addressed, may provide insights and help improve and increase translation in the field of psychiatric genetics. These 4 bottlenecks are emphasizing linear translational frameworks, relying on molecular genomic findings, prioritizing certain psychiatric disorders, and publishing more reviews than experiments. CONCLUSIONS These entwined bottlenecks are examined with one another. Awareness of these bottlenecks can inform stakeholders who work to translate and/or utilize psychiatric genetic information. Potential solutions include utilizing nonlinear translational frameworks as well as a wider array of psychiatric genetic information (e.g., family history and gene-environment interplay) in this area of research, expanding which psychiatric disorders are considered for translation, and when possible, conducting original research. Researchers are urged to consider how their research is translational in the context of the frameworks, genetic information, and psychiatric disorders discussed in this review. At a broader level, these efforts should be supported with translational efforts in funding and policy shifts.
Collapse
Affiliation(s)
- Jessica L Bourdon
- Department of Psychiatry, Brown School of Social Work, Washington University in St. Louis, St. Louis, Missouri, USA,
| | - Rachel A Davies
- Yerkes National Primate Research Center, Division of Behavioral Neuroscience and Psychiatric Disorders, Emory University, Atlanta, Georgia, USA
| | - Elizabeth C Long
- Edna Bennett Pierce Prevention Research Center, Pennsylvania State University, University Park, Pennsylvania, USA
| |
Collapse
|
26
|
Pezzuto A, Lionetto L, Ricci A, Simmaco M, Borro M. Inter-individual variation in CYP2A6 activity and chronic obstructive pulmonary disease in smokers: Perspectives for an early predictive marker. Biochim Biophys Acta Mol Basis Dis 2020; 1867:165990. [PMID: 33091566 DOI: 10.1016/j.bbadis.2020.165990] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2020] [Revised: 10/07/2020] [Accepted: 10/15/2020] [Indexed: 11/24/2022]
Affiliation(s)
- Aldo Pezzuto
- Cardiovascular Respiratory Science Department, Sant'Andrea Hospital, Rome, Italy
| | - Luana Lionetto
- Laboratory of Clinical Biochemistry, Sant'Andrea Hospital, Rome, Italy
| | - Alberto Ricci
- Clinical and Molecular Medicine Department, Sapienza University, Rome, Italy
| | - Maurizio Simmaco
- Laboratory of Clinical Biochemistry, Sant'Andrea Hospital, Rome, Italy; Department of Neurosciences, Mental Health and Sensory Organs (NESMOS), Sapienza University, Rome, Italy
| | - Marina Borro
- Laboratory of Clinical Biochemistry, Sant'Andrea Hospital, Rome, Italy; Department of Neurosciences, Mental Health and Sensory Organs (NESMOS), Sapienza University, Rome, Italy.
| |
Collapse
|
27
|
Clapper ML, Fang CY. Honoring Paul F. Engstrom, MD: A Pioneer of Cancer Prevention. Cancer Prev Res (Phila) 2020; 13:215-218. [DOI: 10.1158/1940-6207.capr-20-0041] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2020] [Accepted: 01/28/2020] [Indexed: 11/16/2022]
Abstract
Abstract
See all articles in this Special Collection Honoring Paul F. Engstrom, MD, Champion of Cancer Prevention
Collapse
Affiliation(s)
- Margie L. Clapper
- Cancer Prevention and Control Program, Fox Chase Cancer Center, Philadelphia, Pennsylvania
| | - Carolyn Y. Fang
- Cancer Prevention and Control Program, Fox Chase Cancer Center, Philadelphia, Pennsylvania
| |
Collapse
|