Nicotine concentrations in urine and saliva of smokers and non-smokers.

Nicotine concentrations were measured in saliva and urine samples collected from 82 smokers and 56 non-smokers after a morning at work. Each subject answered a series of questions related to their recent intentional or passive exposure to tobacco smoke. All non-smokers had measurable amounts of nicotine in both saliva and urine. Those non-smokers who reported recent exposure to tobacco smoke had significantly higher nicotine concentrations (p less than 0.001) than those who had not been exposed; their concentrations overlapped those of smokers who had smoked up to three cigarettes before sampling had the greatest influence on nicotine concentrations (r=0.62 for saliva and r=0.51 for urine). Neither the nicotine for yield of cigarettes nor the self-reported degree of inhalation had any significant effect on nicotine concentrations.     

Biomonitoring of environmental tobacco smoke (ETS)-related exposure to 4-(methylnitrosamino)-1-(3-pyridyl)-1-butanone (NNK)

The exposure of non-smokers to the tobacco-specific N-nitrosamine 4-(N-methylnitrosamino)-1-(3-pyridyl)-1-butanone (NNK), a rodent lung carcinogen, was determined in the air of various indoor environments as well as by biomonitoring of non-smokers exposed to environmental tobacco smoke (ETS) under real-life conditions using the urinary NNK metabolites 4-(N-methylnitrosamino)-1-(3-pyridyl)-1-butanol (NNAL) and [4-(N-methylnitrosamino)-1-(3-pyridyl)but-1-yl]-beta-O-D-glucosiduronic acid (NNAL-Gluc). NNK was not detectable (<0.5 ng m^-3) in 11 rooms in which smoking did not occur. The mean NNK concentration in 19 rooms in which smoking took place was 17.5 (2.4-50.0) ng m^-3. The NNK levels significantly correlated with the nicotine levels (r=0.856; p< 0.0001). Of the 29 non-smokers investigated, 12 exhibited no detectable NNAL and NNAL-Gluc excretion (<3 pmol day) in their urine. The mean urinary excretion of NNAL and NNAL-Gluc of the 17 remaining non-smokers was 20.3 (<3-63.2) and 22.9 (<3-90.0) pmol day^-1, respectively. Total NNAL excretion (NNAL+NNAL-Gluc) in all non-smokers investigated significantly correlated with the amount of nicotine on personal samplers worn during the week prior to urine collection (r=0.88; <0.0001) and with the urinary cotinine levels (r=0.40; p=0.038). No correlation was found between NNAL excretion and the reported extent of ETS exposure. Average total NNAL excretion in the non-smokers with detectable NNAL levels was 74 times less than in 20 smokers who were also investigated. The cotinine/total NNAL ratios in urine of smokers (9900) and non-smokers (9300) were similar. This appears to be at variance with the ratios of the corresponding precursors (nicotine/NNK) in mainstream smoke (16400) and ETS (1000). Possible reasons for this discrepancy are discussed. The possible role of NNK as a lung carcinogen in non-smokers is unclear, especially since NNK exposure in non-smokers is several orders of magnitude lower than the ordinary exposure to exogenous and endogenous N-nitrosamines and the role of NNK as a human lung carcinogen is not fully understood.     

Verification of smoking history in patients after infarction using urinary nicotine and cotinine measurements.

Urinary concentrations of nicotine and its major metabolite cotinine were measured in volunteers whose smoking habits were known to test the reliability of the measurements as indicators of current smoking. In the non-smokers detectable concentrations were always below the confidence limits set for the method, while in smokers the concentrations were always above these limits. After subjects stopped smoking cotinine appeared in the urine for longer than nicotine and was still detectable at least 36 hours after the last cigarette had been smoked. When this method was used to verify the smoking histories given by patients attending an infarction clinic it was estimated that 46-53% of previous smokers had actually stopped smoking compared with the 63% who said that they had done so. It is suggested that simultaneous assays of urinary nicotine and cotinine may be a useful means of verifying patients'' current smoking habits.     

Olfactory discrimination of nicotine-enantiomers by smokers and non-smokers

This study reports an investigation of smokers and non-smokersperformed in order to determine differences in the olfactoryperception of the stereoisomers of nicotine; 38 subjects participated(20 smokers, 18 non-smokers). The investigated parameters were:hedonic ratings and intensity estimates, discrimination betweenenantiomers, estimates of detection thresholds and the odorousquality of nicotine enantiomers. Subjects were able to discriminatebetween the two stereoisomers of nicotine. Whereas both groupsreported the R(+) isomere to cause an unpleasant sensation,the S(–) isomere was perceived as pleasant by smokers,but not by non-smokers. The differences in the hedonic ratingsof S(–) nicotine between smokers and non-smokers mightbe due to the smokers' experience of the pharmacological actionof S(–) nicotine, which is the main isomere in cigarettesmoke.     

Urinary excretion of the acrylonitrile metabolite 2-cyanoethylmercapturic acid is correlated with a variety of biomarkers of tobacco smoke exposure and consumption

Acrylonitrile is an IARC class 2B carcinogen present in cigarette smoke. Urinary 2-cyanoethylmercapturic acid (CEMA) is an acrylonitrile metabolite and a potential biomarker for acrylonitrile exposure. The objective of this work was to study the dose response of CEMA in urine of non-smokers and smokers of different ISO tar yield cigarettes. We observed that smokers excreted >100-fold higher amounts of urinary CEMA than non-smokers. The CEMA levels in smokers were significantly correlated with ISO tar yield, daily cigarette consumption, and urinary biomarkers of smoke exposure. In conclusion, urinary CEMA is a suitable biomarker for assessing smoking-related exposure to acrylonitrile.     

Low platelet monoamine oxidase activity in cigarette smokers

The activity of platelet monoamine oxidase was found to be significantly lower in normal female subjects who smoked at least 5 cigarettes per day than in non-smokers. The platelet MAO activity of individuals who had given up smoking was not significantly different from the activity for non-smokers. The difference in activities between smokers and non-smokers, due entirely to a V_max rather than a K_m change, was not due to a direct effect of nicotine upon the platelet MAO. In addition, platelet-poor plasma from smokers activated platelet MAO in an identical manner to that from non-smokers. The significance of these results are discussed in terms of personality characteristics such as impulsivity and sensation seeking, that may be related to both smoking and to low MAO activity.     

Determination of the nicotine metabolites cotinine and trans-3'-hydroxycotinine in biologic fluids of smokers and non-smokers using liquid chromatography-tandem mass spectrometry: biomarkers for tobacco smoke exposure and for phenotyping cytochrome P450 2A6 activity

The nicotine metabolite cotinine is widely used to assess the extent of tobacco use in smokers, and secondhand smoke exposure in non-smokers. The ratio of another nicotine metabolite, trans-3'-hydroxycotinine, to cotinine in biofluids is highly correlated with the rate of nicotine metabolism, which is catalyzed mainly by cytochrome P450 2A6 (CYP2A6). Consequently, this nicotine metabolite ratio is being used to phenotype individuals for CYP2A6 activity and to individualize pharmacotherapies for tobacco addiction. In this paper we describe a highly sensitive liquid chromatography-tandem mass spectrometry method for determination of the nicotine metabolites cotinine and trans-3'-hydroxycotinine in human plasma, urine, and saliva. Lower limits of quantitation range from 0.02 to 0.1ng/mL. The extraction procedure is straightforward and suitable for large-scale studies. The method has been applied to several thousand biofluid samples for pharmacogenetic studies and for studies of exposure to low levels of secondhand smoke. Concentrations of both metabolites in urine of non-smokers with different levels of secondhand smoke exposure are presented.     

Human urine mutagenicity study comparing cigarettes which burn or only heat tobacco

Cigarette smokers have been reported to void urine which is more mutagenic, as measured in the Ames bacterial mutation assay, than urine voided by non-smokers. Condensate from the mainstream smoke of a cigarette which heats, but does not burn tobacco (test cigarette) showed no evidence of mutagenicity in a battery of in vitro genotoxicity assays under conditions in which condensate from the mainstream smoke of cigarettes that burn tobacco was mutagenic. The objective of this study was to determine whether the absence of mutagenic activity observed in the in vitro assays would be reflected in the urine of smokers of the test cigarette. 72 subjects (31 smokers and 41 non-smokers) were enrolled in a 6-week study, with the smokers randomly divided into 2 groups. The study was designed as a double crossover, with each smoker smoking both test (tobacco-heating) and reference (tobacco-burning) cigarettes. This design allowed each smoker to serve as his or her own control while at the same time allowing comparisons between groups of non-smokers and smokers of both test and reference cigarettes. 24-h urine samples were collected twice a week and concentrated using XAD-2 resin. Urine concentrates were tested in Ames bacterial strains TA98 and TA100, with and without metabolic activation and with and without beta-glucuronidase/aryl sulfatase. Individuals who smoked the test cigarette voided urine which was significantly less mutagenic than that voided when they smoked reference cigarettes. The mutagenicity of urine from smokers who smoked the test cigarette and non-smokers did not differ under any of the assay conditions used in this study.     

Clinical considerations in study designs that use cotinine as a biomarker.

Subjects enrolled in studies are not always screened for routine habits such as smoking. Personal history is not always reliable and therefore an objective biomarker is necessary to screen for smokers. The objectives of this article were to review the metabolism of nicotine and other metabolic considerations associated with smoking; to review some of the routine methods used to assess exposure to nicotine-containing products; to revisit cotinine breakpoints utilized to distinguish smokers from non-smokers during screening for clinical trials; to assess the utility of screening questions regarding smoking practices; and to recommend standards for clinical pharmacology studies. The results indicated that cotinine levels serve as a useful biomarker of tobacco exposure; racial issues may be clinically relevant in determining smoking status; cessation of smoking should occur at least 14 days prior to the start of the study; adverse effects from nicotine withdrawal such as craving, hunger and weight gain may persist for more than 6 months; potential metabolic interactions via cytochrome P2A6 and P1A2 need to be considered when designing a study; and the use of a single calibrator as a breakpoint is acceptable if a categorical outcome such as 'smoker' versus 'non-smoker' is desired. Nicotine from food products is not expected to impact assay sensitivity or to be clinically relevant; a serum cotinine concentration of 10 ng ml(-1) be employed as a breakpoint for non-smokers versus smokers; other non-invasive alternatives are collection of urine, saliva, or hair (with suggested breakpoints of 200 ng ml(-1), 5 ng ml(-1) and 0.3 ng mg(-1), respectively; screening questions be accompanied by testing for cotinine; and the inclusion of smokers in studies should be considered once the impact of smoking on the targeted population is understood.     

Gas chromatographic analysis of nicotine and cotinine in hair

Non-invasive validation of cigarette- or cigar-smoking behaviour is necessary for large population studies. Urine or saliva samples can be used for confirmation of recent nicotine intake by analysis of cotinine, the major metabolite of nicotine. However, this test is not suitable for validation of survey data, since the quantification of cotinine in saliva only reflects nicotine exposure during the preceding week. To validate information on tobacco use, we investigated hair samples for quantifying nicotine and cotinine by gas chromatography—mass spectrometry. Hair (about 50–100 mg) was incubated in 1 M sodium hydroxide at 100°C for 10 min. After cooling, samples were extracted by diethyl ether, using ketamine as an internal standard. Drugs were separated on a 12-m BP-5 capillary column, and detected using selected-ion monitoring (m/z 84, 98 and 180 for nicotine, cotinine and ketamine, respectively). Hair from non-smokers and smokers contained nicotine and cotinine. Although it is difficult to determine an absolute cut-off concentration, more than 2 ng of nicotine per milligram of hair can be used to differentiate smokers from non-smokers. Some applications of this technique are developed to determine the status of passive smokers, the gestational exposure in babies and the pattern of an individual's nicotine use by cutting strands of hair into sections of one-month intervals.     

Clinical considerations in study designs that use cotinine as a biomarker

Subjects enrolled in studies are not always screened for routine habits such as smoking. Personal history is not always reliable and therefore an objective biomarker is necessary to screen for smokers. The objectives of this article were to review the metabolism of nicotine and other metabolic considerations associated with smoking; to review some of the routine methods used to assess exposure to nicotine-containing products; to revisit cotinine breakpoints utilized to distinguish smokers from non-smokers during screening for clinical trials; to assess the utility of screening questions regarding smoking practices; and to recommend standards for clinical pharmacology studies. The results indicated that cotinine levels serve as a useful biomarker of tobacco exposure; racial issues may be clinically relevant in determining smoking status; cessation of smoking should occur at least 14 days prior to the start of the study; adverse effects from nicotine withdrawal such as craving, hunger and weight gain may persist for more than 6 months; potential metabolic interactions via cytochrome P2A6 and P1A2 need to be considered when designing a study; and the use of a single calibrator as a breakpoint is acceptable if a categorical outcome such as 'smoker' versus 'non-smoker' is desired. Nicotine from food products is not expected to impact assay sensitivity or to be clinically relevant; a serum cotinine concentration of 10 ng ml^-1 be employed as a breakpoint for non-smokers versus smokers; other non-invasive alternatives are collection of urine, saliva, or hair (with suggested breakpoints of 200 ng ml^-1, 5 ng ml^-1 and 0.3 ng mg^-1, respectively; screening questions be accompanied by testing for cotinine; and the inclusion of smokers in studies should be considered once the impact of smoking on the targeted population is understood.     

Smokers Show Lower Levels of Psychological Well-Being and Mindfulness than Non-Smokers

Mindfulness is defined as “paying attention in a particular way, on purpose, in the present moment, and nonjudgmentally”. Mindfulness is associated with positive affect, life satisfaction, self-esteem, lower negative affect and rumination. Conversely, evidence suggests a relationship between nicotine dependence and psychiatric disorders. This study aimed to compare the levels of Mindfulness and Subjective Well-Being (SWB) between smokers and non-smokers. Ninety seven smokers and eighty four non-smokers participated in the study (n = 181). The Five Facet Mindfulness Questionnaire (FFMQ-BR) and the Subjective Well-Being Scale (SWBS) were used. In all the factors of SWBS, the total scores in the FFMQ-BR and in the facets of Observing and Non-Reactivity, the non-smokers scored higher than the smokers. This study suggests that smokers present lower levels of Mindfulness and SWB than non-smokers. Consequently, we propose that Mindfulness-Based Interventions (MBI) may help smokers deal with treatment and abstinence by increasing their level of SWB.     

Nicotine metabolism in healthy smokers and patients with cardiovascular diseases

In this study, we measured the excretion rate of nicotine and its two major metabolites, cotinine and trans-3′-hydroxycotinine (THOC), in the urine of 25 healthy smokers and 15 smokers who underwent a coronary artery bypass surgery or coronary angioplasty. After 1 day of smoking cessation, urine samples were collected in the morning, before smoking two cigarettes, and then three times after smoking, approximately 4 h apart. The results show that (i) in healthy smokers, nicotine and its two major metabolites were present at high concentration in the first urine sample after smoking, (ii) in smokers with cardiovascular disease nicotine and cotinine were less excreted whereas THOC was more excreted, mainly in the second urine sample. We conclude that this shift in nicotine metabolism may contribute to smoking-induced cardiovascular disease. (Mol Cell Biochem xxx: 241–244, 2005)     

“A Cigarette a Day Keeps the Goodies Away”: Smokers Show Automatic Approach Tendencies for Smoking—But Not for Food-Related Stimuli

Smoking leads to the development of automatic tendencies that promote approach behavior toward smoking-related stimuli which in turn may maintain addictive behavior. The present study examined whether automatic approach tendencies toward smoking-related stimuli can be measured by using an adapted version of the Approach-Avoidance Task (AAT). Given that progression of addictive behavior has been associated with a decreased reactivity of the brain reward system for stimuli signaling natural rewards, we also used the AAT to measure approach behavior toward natural rewarding stimuli in smokers. During the AAT, 92 smokers and 51 non-smokers viewed smoking-related vs. non-smoking-related pictures and pictures of natural rewards (i.e. highly palatable food) vs. neutral pictures. They were instructed to ignore image content and to respond to picture orientation by either pulling or pushing a joystick. Within-group comparisons revealed that smokers showed an automatic approach bias exclusively for smoking-related pictures. Contrary to our expectations, there was no difference in smokers’ and non-smokers’ approach bias for nicotine-related stimuli, indicating that non-smokers also showed approach tendencies for this picture category. Yet, in contrast to non-smokers, smokers did not show an approach bias for food-related pictures. Moreover, self-reported smoking attitude could not predict approach-avoidance behavior toward nicotine-related pictures in smokers or non-smokers. Our findings indicate that the AAT is suited for measuring smoking-related approach tendencies in smokers. Furthermore, we provide evidence for a diminished approach tendency toward food-related stimuli in smokers, suggesting a decreased sensitivity to natural rewards in the course of nicotine addiction. Our results indicate that in contrast to similar studies conducted in alcohol, cannabis and heroin users, the AAT might only be partially suited for measuring smoking-related approach tendencies in smokers. Nevertheless, our findings are of special importance for current etiological models and smoking cessation programs aimed at modifying nicotine-related approach tendencies in the context of a nicotine addiction.     

Determination of tobacco-specific N-nitrosamines in urine of smokers and non-smokers

Tobacco-specific N-nitrosamines (TSNA) include 4-(methylnitrosamino)-1-(3-pyridyl)-1-butanone (NNK), N′-nitrosonornicotine (NNN), N′-nitrosoanabasine (NAB) and N′-nitrosoanatabine (NAT) and are found in tobacco and tobacco smoke. TSNA are of interest for biomonitoring of tobacco-smoke exposure as they are associated with carcinogenesis. Both NNK and NNN are classified by IARC as Group 1 carcinogens. Samples of 24?h urine collections (n?=?108) were analysed from smokers and non-smokers, using a newly developed and validated LC-MS/MS method for determining total 4-(methylnitrosamino)-1-(3-pyridyl)-1-butanol (NNAL, the major metabolite of NNK), and total NNN, NAB and NAT. TSNA levels in smokers’ urine were significantly higher than in non-smokers. In smokers, urinary excretion of total TSNA correlated significantly (r?>?0.5) with markers of smoking dose, such as daily cigarette consumption, salivary cotinine and urinary nicotine equivalents and increased with the ISO tar yield of cigarettes smoked. The correlation between urinary total NNN and the smoking dose was weaker (r?=?0.4–0.5). In conclusion, this new method is suitable for assessing tobacco use-related exposure to NNK, NNN, NAB and NAT.     

Clinical considerations in study designs that use cotinine as a biomarker

Subjects enrolled in studies are not always screened for routine habits such as smoking. Personal history is not always reliable and therefore an objective biomarker is necessary to screen for smokers. The objectives of this article were to review the metabolism of nicotine and other metabolic considerations associated with smoking; to review some of the routine methods used to assess exposure to nicotine-containing products; to revisit cotinine breakpoints utilized to distinguish smokers from non-smokers during screening for clinical trials; to assess the utility of screening questions regarding smoking practices; and to recommend standards for clinical pharmacology studies. The results indicated that cotinine levels serve as a useful biomarker of tobacco exposure; racial issues may be clinically relevant in determining smoking status; cessation of smoking should occur at least 14 days prior to the start of the study; adverse effects from nicotine withdrawal such as craving, hunger and weight gain may persist for more than 6 months; potential metabolic interactions via cytochrome P2A6 and P1A2 need to be considered when designing a study; and the use of a single calibrator as a breakpoint is acceptable if a categorical outcome such as 'smoker' versus 'non-smoker' is desired. Nicotine from food products is not expected to impact assay sensitivity or to be clinically relevant; a serum cotinine concentration of 10 ng ml^?1 be employed as a breakpoint for non-smokers versus smokers; other non-invasive alternatives are collection of urine, saliva, or hair (with suggested breakpoints of 200 ng ml^?1, 5 ng ml^?1 and 0.3 ng mg^?1, respectively; screening questions be accompanied by testing for cotinine; and the inclusion of smokers in studies should be considered once the impact of smoking on the targeted population is understood.     

Focus: Addiction: Obese Smokers as a Potential Subpopulation of Risk in Tobacco Reduction Policy

Smoking and obesity represent the largest challenges to public health. There is an established inverse relationship between body mass index (BMI) and smoking, but this relationship becomes more complicated among obese smokers. Smokers with higher BMI consume more cigarettes per day and may be more nicotine-dependent than lean smokers. Rates of obesity are lower among smokers than non-smokers, indicating that chronic exposure to tobacco smoke may prevent excess weight gain in people who would otherwise become obese. Furthermore, obese smokers may be more sensitive to the weight-suppressive and reinforcing effects of nicotine. Consequently, obese smokers may respond differently to reduction in the nicotine content of cigarettes, a tobacco control policy being considered both in the Unites States and abroad. Here, we review the interrelationship between nicotine and obesity in the context of a potential nicotine reduction policy. We discuss the implications of nicotine-induced body weight suppression in obese smokers, as well as the possibility that obesity might increase susceptibility to smoking and nicotine dependence.     

Profile of urinary phenanthrene metabolites in smokers and non-smokers

Phenanthrene metabolites (phenols and dihydrodiols) and 1-hydroxypyrene excreted in the 24-h urine of smokers, non-smokers and lung cancer patients, who after heavy smoking became light smokers, were determined and compared. In contrast to 1- hydroxypyrene, no significant differences of the absolute amounts of phenanthrene metabolites were found between smokers and non-smokers. A ratio phenanthrene metabolites/l-hydroxypyrene of 10.4 was observed for non-smokers and 9.9 for lung cancer patients, but 4.2 for smokers. Significantly different ratios for the regiospecific oxidation of phenanthrene were found for smokers when compared with non-smokers (1,2-oxidation vs 3,4-oxidation was 1.45 in the case of smokers, but 2.34 in the case of non-smokers) indicating a cigarette smoke - but not PAH - caused induction of CYP 1A2 in smokers. As a consequence of the degree of PAH exposure the ratio dihydrodiols/phenols depends on the total amount of metabolites excreted. Phenols predominate, equally in smokers and non-smokers after low exposure, while dihydrodiols become more prominent in highly exposed persons (coke plant workers). Both (i) the regiospecific oxidation of PAH and (ii) the ratio of dihydrodiol vs phenol formation may be recognized from the urinary phenanthrene metabolite profile. This pattern mirrors the enzymatic status (balance of the CYP isoforms and epoxide hydrolase) in individuals. Accordingly, more detailed information may be obtained from the urinary metabolite pattern than from 1- hydroxypyrene, commonly used in PAH biomonitoring.     

Profile of urinary phenanthrene metabolites in smokers and non-smokers

Phenanthrene metabolites (phenols and dihydrodiols) and 1-hydroxypyrene excreted in the 24-h urine of smokers, non-smokers and lung cancer patients, who after heavy smoking became light smokers, were determined and compared. In contrast to 1- hydroxypyrene, no significant differences of the absolute amounts of phenanthrene metabolites were found between smokers and non-smokers. A ratio phenanthrene metabolites/l-hydroxypyrene of 10.4 was observed for non-smokers and 9.9 for lung cancer patients, but 4.2 for smokers. Significantly different ratios for the regiospecific oxidation of phenanthrene were found for smokers when compared with non-smokers (1,2-oxidation vs 3,4-oxidation was 1.45 in the case of smokers, but 2.34 in the case of non-smokers) indicating a cigarette smoke - but not PAH - caused induction of CYP 1A2 in smokers. As a consequence of the degree of PAH exposure the ratio dihydrodiols/phenols depends on the total amount of metabolites excreted. Phenols predominate, equally in smokers and non-smokers after low exposure, while dihydrodiols become more prominent in highly exposed persons (coke plant workers). Both (i) the regiospecific oxidation of PAH and (ii) the ratio of dihydrodiol vs phenol formation may be recognized from the urinary phenanthrene metabolite profile. This pattern mirrors the enzymatic status (balance of the CYP isoforms and epoxide hydrolase) in individuals. Accordingly, more detailed information may be obtained from the urinary metabolite pattern than from 1- hydroxypyrene, commonly used in PAH biomonitoring.     

Quantification of PPAR-gamma protein in monocyte/macrophages from healthy smokers and non-smokers: a possible direct effect of nicotine

Previous observations demonstrated that Peroxisome Proliferator-Activated Receptor-gamma (PPAR-gamma), a key regulator of adipocyte differentiation, is expressed in a large variety of cells, including cells of the monocyte/macrophage lineage. This study was aimed to quantify both the constitutive and ligand-induced PPAR-gamma expression in monocytes and monocyte-derived macrophages (MDM) isolated from healthy smokers and non-smokers, and to evaluate the possible direct effect of nicotine. PPAR-gamma protein was detected by Western blot and quantification was performed by calculating the ratio between PPAR-gamma and beta-actin protein expression. Cytokine release was measured with enzyme-linked immunoassay kits. Constitutive PPAR-gamma protein was detected in human monocytes and its expression was up-regulated along with differentiation to MDM. The endogenous ligand 15-deoxy-delta(12,14)-prostaglandin J(2) and the synthetic agonist ciglitazone enhanced PPAR-gamma expression, the former being effective also at low micromolar concentrations. Both agonists significantly inhibited the basal secretion of pro-inflammatory cytokines (e.g., TNF-alpha, IL-6), ciglitazone being more potent. Monocytes and MDM from healthy smokers presented a significantly enhanced (4-fold and 2.5-fold, respectively) constitutive PPAR-gamma expression, as compared to those from healthy non-smokers. However, ligand-induced PPAR-gamma expression and inhibition of cytokine secretion were similar in healthy smokers and non-smokers. Nicotine dose-dependently enhanced PPAR-gamma expression with a maximum at 10 muM, and inhibited release of pro-inflammatory cytokines; these effects were reversed by alpha-bungarotoxin. Nicotine and PPAR-gamma agonists did not exert synergistic effects. In conclusion, monocytes and MDM from healthy smokers present a constitutively enhanced PPAR-gamma expression; this effect is reproduced, to some extent, by nicotine in vitro.