Literature DB >> 23853616

Number of components of the metabolic syndrome; smoking and inflammatory markers.

Tomoyuki Kawada1, Toshiaki Otsuka, Tokiomi Endo, Yoichi Kon.   

Abstract

BACKGROUND: The association between inflammatory markers and the combination of the smoking status plus a number of components of the metabolic syndrome was not fully evaluated in male Japanese subjects.
OBJECTIVES: To demonstrate the association between inflammatory markers and the number of components of the metabolic syndrome by considering smoking status. PATIENTS AND METHODS: A total of 3,017 male subjects (1,047 current smokers, 1,970 non-smokers) were included. Metabolic syndrome (MetS) was defined by the criteria of the National Cholesterol Education Program Adult Treatment Panel III. The smoking status was categorized in a binary manner into current smokers or non-smokers.
RESULTS: The geometric mean value of the serum CRP increased linearly as the number of components of MetS increased (P < 0.05). In contrast, the mean values of the total WBC, neutrophil, lymphocyte and monocyte counts showed peak values when the number of MetS components was 3 or 4. The log-transformed serum CRP levels and the WBC counts were significantly correlated with one another (P < 0.001), but Pearson's correlation coefficient was under 0.3 for current smokers.
CONCLUSIONS: Among several inflammatory markers, the serum CRP predominantly changed linearly as the number of MetS increased regardless of smoking status.

Entities:  

Keywords:  Inflammation; Metabolic Syndrome; Smoking

Year:  2012        PMID: 23853616      PMCID: PMC3693652          DOI: 10.5812/ijem.8403

Source DB:  PubMed          Journal:  Int J Endocrinol Metab        ISSN: 1726-913X


1. Background

Cigarette smoking and metabolic syndrome (MetS) are known risk factors for cardiovascular disease (1-3). Clinically, the risk of cardiovascular disease (CVD) increases with the progression of vascular inflammation (4), and cigarette smoking accelerates this pathological process. Reports have suggested that the serum C-reactive protein (CRP) levels and white blood cell (WBC) counts are higher among current smokers than in never-smokers (5-7), and that the levels become greater with increasing number of cigarettes smoked per day (8, 9). However, consideration on the association among inflammatory markers, smoking and MetS component has not been fully conducted (10). Ichihara et al. reported that elevated inflammatory indices such as CRP and WBC were associated with more coronary risk factors and poorer physical fitness (11), but CRP was measured by conventional latex immunoturbidimetric assay, not by highly sensitive CRP measurement. The methodological update is also required for the analysis.

2. Objectives

The authors conducted a cross-sectional study on the relationship between inflammatory markers including highly sensitive CRP and the number of MetS components by considering smoking status.

3. Patients and Methods

The authors previously described precise information on subjects in a preliminary study (12). Namely, the 3,269 male subjects were originally recruited to this survey. They attended voluntarily to the intensive health examination in Gunma prefecture, Japan, from the year 2008 to 2010. Subjects with coronary heart disease (n = 156) and/or 62 subjects with cerebrovascular disease, 44 subjects with serum CRP levels of ≥ 10mg/L, 4 subjects with WBC counts of ≥ 15,000/cmm or < 2,000 were excluded. Instead, 535 patients with receiving hypertension medication, 115 patients with receiving diabetes mellitus medication and/or 228 patients with dyslipidemia medication were included. Finally, 3,017 male subjects (1,047 smokers, 1,970 non-smokers) were included for the analysis. Venous blood was collected following the patients had fasted overnight. Serum levels of triglycerides, high-density lipoprotein cholesterol (HDL), CRP and the fasting blood glucose were determined (AU2700, Olympus Co. Ltd., Japan). The lower detection limit of the serum CRP determination was 0.1 mg/L, and the intra-assay coefficient of variation was under 5%. Values of the serum CRP under the detection limit were recorded as 0.05 mg/L. The blood pressure was measured twice in all the participants (Nippon COLIN BP-103iII, Japan) and the values from the second measurement were adopted for the analysis. Waist circumference was measured at the level midway between the iliac crest and the 12th rib. In accordance with the criteria of the US National Cholesterol Education Program Adult Treatment Panel III (NCEP-ATPIII) (13, 14), MetS was diagnosed when 3 or more of the following criteria were fulfilled: fasting blood glucose ≥ 100 mg/dL (5.6 mmol/L) or receiving treatment for diabetes mellitus, blood pressure ≥ 130/85 mm Hg (either value) or receiving antihypertensive drug treatment, plasma triglycerides ≥ 150 mg/dL (1.7mmol/L), plasma HDL < 40 mg/dL (1.0mmol/L), and waist circumference ≥85 cm (15). Each component of MetS was assigned a value of 1 when it was judged as being present, and 0 when it was judged as being absent. Smoking status of the subjects was classified as current- and non-smokers including never-smokers. Informed consent was obtained from all the participants, and this study was approved by the Institutional Review Board at Ota General Hospital, Gunma Prefecture, Japan (July 17, 2010). Two-way analysis of variance by the smoking status and number of MetS components, Fisher’s exact test and correlation analysis were performed using the SPSS version 16.0 (SPSS Inc Japan). The results are expressed as means and standard deviations (SD), except for parameters with a skewed distribution to the left, such as the triglycerides and CRP. P < 0.05 was adopted as the significance level.

4. Results

The 3,017 subjects were 51.6 ± 9.6 years old (range, 27 to 84 years). The percentage of current smokers was 34.7% (1047/3017). Percentages of smoking with and without MetS were 34.0% (326/958) and 35.0% (721/2059), respectively. There was no significant difference in percentage of smoking between MetS and non-MetS subjects. Percentages of smoking in 30s, 40s, 50s, 60s and 70s were 43.8% (326/958), 42.5% (388/912), 33.0% (372/1127), 23.6% (133/563) and 11.0% (8/73), respectively. The mean values and SDs of the levels of the inflammatory markers in the subjects are listed in Table 1. Two-way analysis of variance was conducted on the inflammatory markers. There was no interaction between the smoking status and the number of MetS components with the WBC, neutrophil, lymphocyte or monocyte counts, or with the log-transformed serum CRP levels, respectively. Among several inflammatory markers, the geometric mean of the serum CRP increased linearly as the number of MetS components increased irrespective of smoking status (P < 0.05).
Table 1

Means and Standard Deviations of Inflammatory Markers Stratified by the Smoking Status and Number of MetS Components

Numbers of MetSWBC, /cmmNeutrophil, /cmmLymphocyte, /cmmMonocyte, /cmmCRP, mg/L
Current Smokers n=1.047 a
0 (208)6330, 16403590, 12801970, 560360, 1200.35, 2.97
1 (280)6500, 17503700, 13402030, 560360, 1000.40, 2.88 b
2 (233)6800, 1540 b3890, 12102090, 560380, 1100.60, 2.89 b
3 (185)7350, 1950 b4270, 1590 b2260, 630 b400, 120 b0.69, 2.90 b
4 (96)7260, 1690 b4040, 1290 b2340, 600 b400, 130 b0.88, 2.55 b
5 (45)6990, 16503940, 12802210, 610 b380, 901.07, 2.37 b
Nonsmokers Including Never Smokers and Ex-smokers n=1,970 a
0 (366)5100, 12302840, 9101640, 450280, 900.27, 2.83
1 (489)5480, 1250 b3060, 1010 b1780, 470 b300, 800.34, 2.82 b
2 (483)5660, 1320 b3130, 1020 b1860, 520 b310, 90 b0.49, 2.85 b
3 (362)5910, 1300 b3280, 940 b1930, 510 b320, 100 b0.62, 2.65 b
4 (193)6050, 1520 b3390, 1180 b1950, 540 b320, 100 b0.64, 2.80 b
5 (77)5980, 1440 b3360, 1100 b1910, 500 b340, 100 b0.69, 2.76 b

Abbreviations: MetS; metabolic syndrome, WBC; white blood cell, CRP; C-reactive protein

aThere was a significant difference of mean value for each variable by the analysis of variance

bDunnett’s multiple comparison was conducted, and was described when P < 0.05 was recognized compared with control group (number of MetS = 0).

The Pearson’s moment correlation coefficients (CC) among the WBC, neutrophil, lymphocyte and monocyte counts, and the log-transformed serum CRP stratified by the smoking status are listed in Table 2. The log-transformed serum CRP levels and the WBC counts were significantly correlated with one another (P < 0.001). However the CC was under 0.3 for current smokers. In the case of non-smokers, the CC became higher, except for the count of lymphocytes.
Table 2

Pearson’s Moment Correlation Coefficients Among Inflammatory Markers

Current smokers WBC Nonsmokers Including Never Smokers and Ex-Smokers n=1.970
Neutrophil Lymphocyte Monocyte Log 10(CRP)
WBC - 0.902 0.584 0.638 0.337
Neutrophil 0.92 - 0.202 0.543 0.309
Lymphocyte 0.602 0.261 - 0.31 0.163
Monocyte 0.654 0.533 0.424 - 0.295
Log10 (CRP) 0.285 0.255 0.171 0.238 -

Abbreviations are listed also in Table 1.

Abbreviations: MetS; metabolic syndrome, WBC; white blood cell, CRP; C-reactive protein aThere was a significant difference of mean value for each variable by the analysis of variance bDunnett’s multiple comparison was conducted, and was described when P < 0.05 was recognized compared with control group (number of MetS = 0). Abbreviations are listed also in Table 1.

5. Discussion

In this study, CRP increased steadily with increasing the number of MetS components among several inflammatory markers, and this increase was not modified by smoking. In addition, CRP was not highly correlated with other inflammatory markers. Former studies have shown elevated serum CRP levels in current smokers as compared with those in non-smokers (5, 7-9). The authors observed no interaction between the smoking status categorized in a binary fashion and the number of MetS components. Several studies have reported the positive relationship between smoking and elevated inflammatory indices, and smoking increases genetic expression and serum concentration of interleukin-6 (IL-6) (16). As one of the pathways, smoking induces IL-6 from visceral adipose tissue and IL-6 accelerates CRP production by hepatocytes (17). Combination with other cytokines should also be evaluated to elucidate the meaning of CRP. Ridker et al. have proposed CRP as an indispensable factor for the prediction of cardiovascular risk with the advantage that CRP measurement is inexpensive, standardized and available worldwide (18). They recently recommended the use of CRP as an inflammatory marker in the fields of clinical cardiology and prevention by meta-analysis (19). From the linear relationship between CRP and the number of MetS regardless of smoking status, we have suggested the use of CRP as an inflammatory biomarker for the prevention of CVD. There are some limitations in our study. Firstly, smoking status was only classified in a binary fashion. Therefore, the dose-response relationship between the smoking status and inflammatory markers could not be evaluated. Secondly, we could not conclude the cause-effect relationship between the inflammatory markers, smoking status and number of components of MetS, because of the cross-sectional nature of this study. The authors conclude that current smokers show higher serum levels of CRP and WBC counts, including the WBC subtype counts. However, the trend towards increase in the values with the number of components of MetS differed between the two parameters. The relationship between the serum CRP and the smoking status appeared to be weaker than the relationship between the serum CRP and the risk of MetS, and the authors speculate that the time-course behaviors of inflammatory markers such as the serum CRP and peripheral blood WBC count differ in relation to the progression of atherosclerosis. Further study is recommended to explore the association between MetS and inflammatory markers including CRP and WBC counts.
  19 in total

1.  Executive Summary of The Third Report of The National Cholesterol Education Program (NCEP) Expert Panel on Detection, Evaluation, And Treatment of High Blood Cholesterol In Adults (Adult Treatment Panel III).

Authors: 
Journal:  JAMA       Date:  2001-05-16       Impact factor: 56.272

Review 2.  The metabolic syndrome: a global public health problem and a new definition.

Authors:  Paul Zimmet; Dianna Magliano; Yuji Matsuzawa; George Alberti; Jonathan Shaw
Journal:  J Atheroscler Thromb       Date:  2005       Impact factor: 4.928

3.  Associations between cigarette smoking, pipe/cigar smoking, and smoking cessation, and haemostatic and inflammatory markers for cardiovascular disease.

Authors:  S Goya Wannamethee; Gordon D O Lowe; A Gerald Shaper; Ann Rumley; Lucy Lennon; Peter H Whincup
Journal:  Eur Heart J       Date:  2005-04-07       Impact factor: 29.983

4.  Smoking modulates interleukin-6:interleukin-10 and RANKL:osteoprotegerin ratios in the periodontal tissues.

Authors:  J B César-Neto; P M Duarte; M C G de Oliveira; C H Tambeli; E A Sallum; F H Nociti
Journal:  J Periodontal Res       Date:  2007-04       Impact factor: 4.419

5.  The metabolic syndrome, smoking, inflammatory markers and obesity.

Authors:  Tomoyuki Kawada; Toshiaki Otsuka; Tokiomi Endo; Yoichi Kon
Journal:  Int J Cardiol       Date:  2011-07-07       Impact factor: 4.164

6.  Survey of C-reactive protein and cardiovascular risk factors in apparently healthy men.

Authors:  L E Rohde; C H Hennekens; P M Ridker
Journal:  Am J Cardiol       Date:  1999-11-01       Impact factor: 2.778

7.  Higher C-reactive protein concentration and white blood cell count in subjects with more coronary risk factors and/or lower physical fitness among apparently healthy Japanese.

Authors:  Yoshio Ichihara; Jun Ohno; Masayuki Suzuki; Takafumi Anno; Mikio Sugino; Kouzou Nagata
Journal:  Circ J       Date:  2002-07       Impact factor: 2.993

8.  Gender difference among smoking, adiponectin, and high-sensitivity C-reactive protein.

Authors:  Tiina M Ahonen; Hannu J Kautiainen; Sirkka M Keinänen-Kiukaanniemi; Esko A Kumpusalo; Mauno J Vanhala
Journal:  Am J Prev Med       Date:  2008-10-08       Impact factor: 5.043

Review 9.  Leukocyte count and coronary heart disease: implications for risk assessment.

Authors:  Mohammad Madjid; Imran Awan; James T Willerson; S Ward Casscells
Journal:  J Am Coll Cardiol       Date:  2004-11-16       Impact factor: 24.094

10.  C-reactive protein, fibrinogen, and cardiovascular disease prediction.

Authors:  Stephen Kaptoge; Emanuele Di Angelantonio; Lisa Pennells; Angela M Wood; Ian R White; Pei Gao; Matthew Walker; Alexander Thompson; Nadeem Sarwar; Muriel Caslake; Adam S Butterworth; Philippe Amouyel; Gerd Assmann; Stephan J L Bakker; Elizabeth L M Barr; Elizabeth Barrett-Connor; Emelia J Benjamin; Cecilia Björkelund; Hermann Brenner; Eric Brunner; Robert Clarke; Jackie A Cooper; Peter Cremer; Mary Cushman; Gilles R Dagenais; Ralph B D'Agostino; Rachel Dankner; George Davey-Smith; Dorly Deeg; Jacqueline M Dekker; Gunnar Engström; Aaron R Folsom; F Gerry R Fowkes; John Gallacher; J Michael Gaziano; Simona Giampaoli; Richard F Gillum; Albert Hofman; Barbara V Howard; Erik Ingelsson; Hiroyasu Iso; Torben Jørgensen; Stefan Kiechl; Akihiko Kitamura; Yutaka Kiyohara; Wolfgang Koenig; Daan Kromhout; Lewis H Kuller; Debbie A Lawlor; Tom W Meade; Aulikki Nissinen; Børge G Nordestgaard; Altan Onat; Demosthenes B Panagiotakos; Bruce M Psaty; Beatriz Rodriguez; Annika Rosengren; Veikko Salomaa; Jussi Kauhanen; Jukka T Salonen; Jonathan A Shaffer; Steven Shea; Ian Ford; Coen D A Stehouwer; Timo E Strandberg; Robert W Tipping; Alberto Tosetto; Sylvia Wassertheil-Smoller; Patrik Wennberg; Rudi G Westendorp; Peter H Whincup; Lars Wilhelmsen; Mark Woodward; Gordon D O Lowe; Nicholas J Wareham; Kay-Tee Khaw; Naveed Sattar; Chris J Packard; Vilmundur Gudnason; Paul M Ridker; Mark B Pepys; Simon G Thompson; John Danesh
Journal:  N Engl J Med       Date:  2012-10-04       Impact factor: 91.245

View more
  1 in total

1.  Differences in physical activity domains, guideline adherence, and weight history between metabolically healthy and metabolically abnormal obese adults: a cross-sectional study.

Authors:  Thirumagal Kanagasabai; Niels A Thakkar; Jennifer L Kuk; James R Churilla; Chris I Ardern
Journal:  Int J Behav Nutr Phys Act       Date:  2015-05-16       Impact factor: 6.457

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.