Skip to main content
Erschienen in: Cardiovascular Diabetology 1/2011

Open Access 01.12.2011 | Original investigation

Association between fasting plasma glucose and high-sensitivity C-reactive protein: gender differences in a Japanese community-dwelling population

verfasst von: Ryuichi Kawamoto, Yasuharu Tabara, Katsuhiko Kohara, Tetsuro Miki, Tomo Kusunoki, Shuzo Takayama, Masanori Abe, Tateaki Katoh, Nobuyuki Ohtsuka

Erschienen in: Cardiovascular Diabetology | Ausgabe 1/2011

Abstract

Background

High sensitivity C-reactive protein (hsCRP) is an acute phase reactant and a sensitive marker of inflammation. Hyperglycemia can potentially promote the production of CRP. The aim of this study was to determine whether increased fasting plasma glucose (FPG) levels are associated with elevated hsCRP concentrations by gender.

Methods

We recruited 822 men (mean age, 61 ± 14 years) and 1,097 women (63 ± 12 years) during their annual health examination from a single community. We cross-sectionally examined whether FPG levels are associated with hsCRP concentrations, and whether this association is independent of gender, body mass index (BMI) and other components of the metabolic syndrome.

Results

In women only, hsCRP increased significantly and progressively with increasing FPG (r = 0.169, P < 0.001). The stepwise multiple linear regression analysis using hsCRP as an objective variable, adjusted for confounding factors as explanatory variables, showed that FPG as well as age, BMI, systolic blood pressure, high-density lipoprotein cholesterol (HDL-C), uric acid, and high molecular weight adiponectin were significantly associated with hsCRP in women, but not in men. There was significant gender interaction, and an increase in hsCRP levels that was greater in women with BMI ≥ 25 kg/m2 and higher FPG than in men.

Conclusions

These results suggested that hsCRP levels increase continuously across the FPG spectrum starting from the lowest FPG in both men and women. However, increase in hsCRP levels was greater in women than men.
Hinweise

Electronic supplementary material

The online version of this article (doi:10.​1186/​1475-2840-10-51) contains supplementary material, which is available to authorized users.

Competing interests

The authors declare that they have no competing interests.

Authors' contributions

RK, YT, and KK participated in the design of the study, performed the statistical analysis and drafted the manuscript. NO, TK, and TK contributed to the acquisition of data and its interpretation. ST and MA contributed to the conception and design of the statistical analysis. TM conceived of the study, participated in its design, coordination and helped to draft the manuscript. All authors read and approved the manuscript.

Introduction

C-reactive protein (CRP) is an acute phase reactant and a sensitive marker of inflammation. Several studies support the concept that high-sensitivity C-reactive protein (hsCRP), even when within the clinical normal range, is an important precursor of the metabolic syndrome (MetS) and type 2 diabetes [13], and it may be an independent predictor that reflects early stage cardiovascular disease (CVD) [46].
A recent review of 20 studies revealed that there was also a significant exponential association between glucose and CVD in nondiabetic participants that extended below the usual "diabetic threshold" [7], and fasting plasma glucose (FPG) is an important predictor of CVD after adjusting for potential confounders. Experimental studies have shown that hyperglycemia stimulates the release of the inflammatory cytokines tumor necrosis factor-alpha (TNF-α) and interleukin-6 (IL-6) from various cells such as monocytes [8]. Recent data have demonstrated that hsCRP is stimulated and produced in the liver by proinflammatory cytokines (e.g., TNF-α and IL-6) produced by visceral adiposity [9]. Thus, elevated FPG is associated with elevated concentrations of hsCRP [1012].
On the other hand, Nakanishi et al. reported that hsCRP levels are much higher in Westerners than in Japanese [13], and in women compared with men [3, 14]. In addition, gender differences have been reported to be consistent across all ethnic subgroups even after multivariable adjustment [14]. However, the question of whether modification by gender has an effect on the association between FPG and inflammation in Japanese has not been investigated in detail.
The aim of this study was to determine whether elevated FPG levels are associated with elevated hsCRP concentrations, and whether this association is independent of gender, body mass index (BMI) and other confounders of CVD. We examined cross-sectional data from Japanese community-dwelling participants.

Materials and methods

Subjects

The present study is designed as a part of the Nomura study [15]. Subjects were selected through a community-based annual check-up process in a rural town located in Ehime prefecture, Japan. Information on medical history, present conditions, and drugs were obtained by interview. Other characteristics, such as smoking and alcohol habits, and medication, were investigated by individual interviews using a structured questionnaire. The sample population included 822 men and 1,097 women. The Ethics Committee of Ehime University School of Medicine approved all the procedures and each subject gave informed consent to participate.

Evaluation of Risk Factors

Information on demographic characteristics and risk factors was collected using clinical files. Body mass index was calculated by dividing weight (in kilograms) by the square of the height (in meters). We measured blood pressure with an appropriate-sized cuff on the right upper arm of the subjects in a sedentary position using an automatic oscillometric blood pressure recorder (BP-103i; Colin, Aichi, Japan) while they were seated after having rested for at least 5 min. Smoking status was classified into never smokers, past smokers, and current smokers. Daily alcohol consumption was measured using the Japanese liquor unit in which a unit corresponds to 22.9 g of ethanol, and the participants were classified into never drinkers, occasional drinkers (<1 unit/day), and daily drinkers (≥1 unit/day). Total cholesterol (T-C), triglycerides (TG), high-density lipoprotein cholesterol (HDL-C), FPG, creatinine (enzymatic method), uric acid, immuno-reactive insulin (IRI), high molecular weight (HMW) adiponectin (Fujirebio, Tokyo, Japan), and hsCRP concentration (Dade Behring Inc., Marburg, Germany) were measured during fasting. Plasma hsCRP concentration was measured using a Behring BN II nephelometer (Dade Behring Inc., Marburg, Germany) and the inter- and intra-assay coefficient variations were 3.2 and 6.7%, respectively. Low-density lipoprotein cholesterol (LDL-C) level was calculated by the Friedewald formula. Participants with TG levels ≥400 mg/dL were excluded.

Statistical Analysis

Statistical analysis was performed using PASW Statistics 17.0 (Statistical Package for Social Science Japan, Inc., Tokyo, Japan). Data are presented as the mean ± standard deviation (SD) unless otherwise specified, and in cases of parameters with non-normal distributions (TG, FPG, IRI, HMW adiponectin, and hsCRP) the data are shown as median (interquartile range) values. In all analyses, parameters with non-normal distributions were used after log-transformation. Differences among five groups divided according to categories of FPG status and Type 2 diabetes were analyzed by ANOVA or chi-square (X2) test. Stepwise multiple linear regression analysis was used to evaluate the contribution of each confounding factor for hsCRP. The synergistic effect of gender and the confounding factors was evaluated using a general linear model. ANCOVA was performed using a general linear model approach to determine the association between confounding factors and hsCRP. In these analyses, hsCRP was the dependent variable, the five categories of FPG status were the fixed factors, and confounding factors were added as covariates. A p-value < 0.05 was considered significant.

Results

Subject background characteristics

The characteristics of the study participants in relation to gender and FPG category are illustrated in Table 1 and Table 2. The study included 822 men, aged 61 ± 14 (range, 20-89) years, and 1,097 women, aged 63 ± 12 (range, 21-88) years. Subjects with type 2 diabetes were the oldest among the men. For both men and women, BMI, systolic blood pressure (SBP), diastolic blood pressure (DBP), prevalence of antihypertensive medication, TG, FPG, IRI, and hsCRP were higher in those with the highest category of normal FPG, IFG, and type 2 diabetes than in those with the lowest and middle categories of normal FPG. History of CVD, HDL-C, and antilipidemic medication in men, and smoking status and HDL-C in women did not differ significantly among the five groups
Table 1
Clinical characteristics of male participants according to fasting plasma glucose category
Men, N = 822
Normal fasting plasma glucose
IFG
Type-2 diabetes
or >125 mg/dL
P-value*
Characteristics
FBS <90
N = 200
90-99
N = 286
100-109
N = 143
110-125
N = 63
N = 130
 
Age (years)
57 ± 15
60 ± 14
63 ± 13
60 ± 12
66 ± 9
<0.001
Body mass index (kg/m2)
22.6 ± 2.9
23.6 ± 2.8
24.5 ± 3.1
24.7 ± 3.2
23.8 ± 2.7
<0.001
Smoking status, %
29.0/19.5/51.5
46.9/22.7/30.4
43.4/29.4/27.3
44.4/28.6/27.0
46.2/30.8/23.1
<0.001
Alcohol consumption, %
15.0/33.0/52.0
12.9/31.8/55.2
17.5/20.3/62.2
3.2/22.2/74.6
20.0/26.2/53.8
0.005
History of CVD, %
7.0
9.1
10.5
9.5
15.4
0.160
Systolic blood pressure (mmHg)
130 ± 17
140 ± 20
147 ± 18
147 ± 19
147 ± 20
<0.001
Diastolic blood pressure (mmHg)
80 ± 10
84 ± 11
87 ± 11
90 ± 12
87 ± 10
<0.001
Antihypertensive medication, %
13.5
22.4
32.9
33.3
33.8
<0.001
Triglycerides (mg/dL)
91 (66-133)
94 (73-126)
104 (75-142)
105 (77-165)
96 (71-162)
0.014
HDL cholesterol (mg/dL)
59 ± 14
59 ± 14
60 ± 16
59 ± 16
58 ± 16
0.880
LDL cholesterol (mg/dL)
105 ± 31
111 ± 29
118 ± 34
107 ± 33
111 ± 33
0.003
Antilipidemic medication, %
2.5
3.5
4.9
1.6
6.9
0.229
Serum uric acid (mg/dL)
5.9 ± 1.2
6.0 ± 1.4
6.1 ± 1.4
6.2 ± 1.4
5.5 ± 1.4
<0.001
Fasting plasma glucose (mg/dL)
86 (83-88)
94 (92-96)
103 (101-105)
115 (112-118)
122 (100--150)
<0.001
Immuno-reactive insulin (μ U/mL)
3.65 (2.00-5.48)
4.60 (3.20-6.90)
6.20 (3.50-8.30)
6.60 (4.70-8.70)
4.80 (3.30-8.20)
<0.001
Hypoglycemic medication, %
0
0
0
0
25.4
<0.001
HMW adiponectin (μ g/mL)
3.65 (2.37-6.09)
3.41 (1.97-5.52)
3.66 (1.91-5.10)
2.67 (1.70-4.99)
3.03 (1.86-4.88)
0.030
hsCRP (mg/dL)
0.046 (0.026-0.096)
0.046 (0.025-0.104)
0.057 (0.028-0.112)
0.069 (0.042-0.150)
0.060 (0.035-0.117)
0.033
CVD, cardiovascular disease; HDL, high-density lipoprotein; LDL, low-density lipoprotein; HMW. High molecular weight; hsCRP, high sensitivity C-reactive protein. Data presented are mean ± standard deviation. Data for triglycerides, fasting plasma glucose, HMW adiponectin, Immuno-reactive insulin, and hsCRP were skewed, and are presented as median (interquartile range) and were log-transformed for analysis. *P-value: ANOVA or X2 -test.
Table 2
Clinical characteristics of female participants according to fasting plasma glucose category
Women, N = 1,097
mg/dL
Normal fasting plasma glucose
IFG
Type-2 diabetes
or >125 mg/dL
P-value*
Characteristics
FBS <90
N = 409
90-99
N = 391
100-109
N = 152
110-125
N = 52
N = 93
 
Age (years)
58 ± 13
64 ± 10
67 ± 9
68 ± 9
66 ± 10
<0.001
Body mass index (kg/m2)
22.5 ± 3.1
23.4 ± 3.2
24.4 ± 3.4
24.9 ± 3.8
24.6 ± 3.9
<0.001
Smoking status, %
97.1/0.7/2.2
98.5/0.5/1.0
95.4/2.0/2.6
98.1/1.9/0
98.9/0/1.1
0.409
Alcohol consumption, %
58.4/35.7/5.9
66.8/26.6/6.6
69.1/27.0/3.9
69.6/28.8/1.9
73.1/24.7/2.2
0.035
History of CVD, %
5.4
5.6
12.5
5.8
9.7
0.025
Systolic blood pressure (mmHg)
131 ± 22
141 ± 22
145 ± 24
151 ± 22
144 ± 23
<0.001
Diastolic blood pressure (mmHg)
77 ± 12
82 ± 11
83 ± 12
86 ± 11
81 ± 11
<0.001
Antihypertensive medication, %
15.6
23.5
38.2
50.0
44.1
<0.001
Triglycerides (mg/dL)
84 (61-114)
92 (69-128)
90 (70-135)
106 (78-144)
94 (70-155)
<0.001
HDL cholesterol (mg/dL)
66 ± 15
65 ± 15
65 ± 16
65 ± 15
61 ± 16
0.127
LDL cholesterol (mg/dL)
120 ± 29
127 ± 29
134 ± 30
131 ± 28
132 ± 31
<0.001
Antilipidemic medication, %
3.7
6.1
9.2
17.3
11.8
<0.001
Serum uric acid (mg/dL)
4.3 ± 1.0
4.5 ± 1.0
4.6 ± 1.1
4.8 ± 0.9
4.6 ± 1.1
<0.001
Fasting plasma glucose (mg/dL)
86 (82-88)
94 (92-97)
103 (101-105)
116 (113-120)
126 (103-150)
<0.001
Immuno-reactive insulin (μ U/mL)
4.80 (3.40-6.80)
6.20 (4.50-8.60)
7.40 (5.25-11.5)
9.50 (6.75-12.9)
7.80 (5.20-11.2)
<0.001
Hypoglycemic medication, %
0
0
0
0
37.6
<0.001
HMW adiponectin (μ g/mL)
7.15 (4.72-10.3)
6.82 (4.65-10.1)
5.94 (4.12-8.83)
4.82 (3.58-7.73)
5.22 (3.20-8.18)
<0.001
hsCRP (mg/dL)
0.035 (0.017-0.061)
0.043 (0.024-0.089)
0.048 (0.028-0.093)
0.063 (0.031-0.124)
0.080 (0.034-0.198)
<0.001
CVD, cardiovascular disease; HDL, high-density lipoprotein; LDL, low-density lipoprotein; HMW. High molecular weight; hsCRP, high sensitivity C-reactive protein. Data presented are mean ± standard deviation. Data for triglycerides, fasting plasma glucose, immuno-reactive insulin, and HMW adiponectin, and hsCRP were skewed, and are presented as median (interquartile range) and were log-transformed for analysis. *P-value: ANOVA or X2-test.

Relationship between hsCRP and various characteristics according to gender

As shown in Table 3, hsCRP increased significantly in correlation with an increase in age, BMI, history of CVD, antihypertensive medication, uric acid, and IRI in both genders, but with a decrease in HDL-C and HMW adiponectin. In addition, hsCRP was also positively correlated with SBP, DBP, TG, LDL-C, antilipidemic medication, FPG, and hypoglycemic medication in women only. IRI was stronger correlated with hsCRP than FPG in both genders.
Table 3
Relationship between hsCRP and various characteristics according to gender
 
Men, N = 822
Women, N = 1,097
Characteristics
r (P-value)
β (P-value)
r( P-value)
β (P-value)
Age (years)
0.096 (0.006)
0.165 (<0.001)
0.202 (<0.001)
0.211 (<0.001)
Body mass index (kg/m2)
0.188 (<0.001)
0.129 (0.002)
0.355 (<0.001)
0.245 (<0.001)
Smoking status, %
0.040 (0.249)
0.102 (0.005)
0.005 (0.863)
--------
Alcohol consumption, %
-0.017 (0.637)
--------
-0.080 (0.008)
--------
History of CVD, %
0.086 (0.013)
--------
0.073 (0.016)
--------
Systolic blood pressure (mmHg)
0.049 (0.164)
--------
0.126 (<0.001)
-0.081 (0.009)
Diastolic blood pressure (mmHg)
0.028 (0.426)
--------
0.103 (0.001)
--------
Antihypertensive medication, %
0.115 (0.001)
--------
0.138 (<0.001)
--------
Triglycerides (mg/dL)
0.040 (0.257)
-0.099 (0.012)
0.209 (<0.001)
--------
HDL cholesterol (mg/dL)
-0.190 (<0.001)
-0.152 (<0.001)
-0.196 (<0.001)
-0.061 (0.040)
LDL cholesterol (mg/dL)
0.028 (0.420)
--------
0.179 (<0.001)
--------
Antilipidemic medication, %
0.036 (0.301)
--------
0.079 (0.009)
--------
Serum uric acid (mg/dL)
0.126 (<0.001)
0.117 (0.001)
0.285 (<0.001)
0.164 (<0.001)
Fasting plasma glucose (mg/dL)
0.067 (0.056)
--------
0.232 (<0.001)
0.121 (<0.001)
Immuno-reactive insulin (μ U/mL)
0.162 (<0.001)
0.087 (0.040)
0.263 (<0.001)
--------
Hypoglycemic medication, %
0.027 (0.445)
--------
0.082 (0.007)
--------
HMW adiponectin (μ g/mL)
-0.094 (0.007)
--------
-0.197 (<0.001)
-0.107 (0.001)
R2
--------
0.090 (<0.001)
--------
0.227 (<0.001)
hsCRP, high sensitivity C-reactive protein; HDL, high-density lipoprotein; LDL, low-density lipoprotein; HMW. High molecular weight. Data presented are mean ± standard deviation. Data for triglycerides, fasting plasma glucose, immuno-reactive insulin, and hsCRP were skewed and log-transformed for analysis. *r, Pearson's correlation coefficient; β, standard regression coefficient.
The stepwise multiple linear regression analysis using hsCRP as an objective variable, adjusted for confounding factors as explanatory variables is shown in Table 3. In men, age, BMI, smoking status, TG, HDL-C, uric acid, and IRI were significantly associated with hsCRP, and in women, age, BMI, SBP, HDL-C, uric acid, FPG, and HMW adiponectin were significantly associated with hsCRP.

General linear model for interactions between gender and confounding factors

To further investigate whether the interaction between gender and FPG, and the confounding factors could influence hsCRP, a general linear model for hsCRP was analyzed using the parameters in Table 3 and gender including interaction between gender and smoking status, SBP, TG, IRI, FPG, and HWM adiponectin (Table 4). The results revealed that the interaction between gender and FPG (F = 5.547, P = 0.019) was significantly associated with hsCRP, in addition to gender, age, BMI, SBP, HDL-C, uric acid, FPG, and HMW adiponectin. This finding indicates that the association between FGB and hsCRP was significantly different between men and women.
Table 4
Gender interaction between hsCRP and various subject characteristics
 
N = 1,919
Characteristics
F(P-value)
Gender (men = 0, Women = 1)
4.573 (0.033)
Age (years)
68.24 (<0.001)
Body mass index (kg/m2)
59.82 (<0.001)
Smoking status
1.925 (0.165)
Systolic blood pressure (mmHg)
4.839 (0.028)
Triglycerides (mg/dL)
1.452 (0.228)
HDL cholesterol (mg/dL)
12.82 (<0.001)
Serum uric acid (mg/dL)
38.38 (<0.001)
Fasting plasma glucose (mg/dL)
13.30 (<0.001)
Immuno-reactive insulin (μ U/mL)
1.491 (0.222)
HMW adiponectin (μ g/mL)
10.27 (0.001)
Gender *Smoking status
0.751 (0.386)
Gender *Systolic blood pressure
0.050 (0.823)
Gender *Triglycerides
0.845 (0.358)
Gender *Immuno-reactive insulin
0.056 (0.814)
Gender *Fasting plasma glucose
5.547 (0.019)
Gender *HMW adiponectin
1.709 (0.191)
hsCRP, high sensitivity C-reactive protein; HMW, high molecular weight. Data for hsCRP, triglycerides, fasting plasma glucose, immuno-reactive insulin, and HMW adiponectin were skewed and log-transformed for analysis.

Relationship between FPG and hsCRP according to gender

In women only, hsCRP increased significantly and progressively with increasing FPG (r = 0.169, P < 0.001) (Figure 1).

Geometric mean levels of hsCRP and standard error bar according to gender, obesity, and FPG category

Figure 2 shows the geometric mean levels of CRP (adjusted for age, smoking status, SBP, HDL-C, uric acid, and HMW adiponectin) according to gender, obesity, and FPG category. Adjusted geometric mean levels of hsCRP in obese (BMI ≥25 kg/m2) men with the lowest, second lowest, and highest values of normal FPG, IFG, and type 2 diabetes were 0.716, 0.867, 0.917, 0.947, and 1.014, respectively. The respective adjusted geometric mean levels of hsCRP for obese women were 0.796, 0.868, 0.801, 0.954, and 1.108, respectively (P for trend = 0.002). As shown, there was a significant gender interaction, and the increase in hsCRP levels was greater in women than men with obesity and a higher FPG Level.

Discussion

In this cross-sectional, population-based study, we determined the relation between glucose levels and hsCRP by gender in healthy participants. This study showed that hsCRP levels increase continuously across the spectrum of FPG, starting from the lowest FPG in both men and women. When analyzing FPG and BMI simultaneously, it is apparent that increased hsCRP levels are mainly due to increased hsCRP concentrations according to the status of obesity. These findings suggest that the FPG-hsCRP relationship is stronger for subjects with obesity than for those without. In addition, increase in hsCRP levels was greater in women than men, and we demonstrated that there is a gender interaction between increased FPG and hsCRP after adjustment for age, BMI, smoking status, SBP, HDL-C, uric acid, FPG, and HMW adiponectin. To our knowledge, few studies indicate modification of the effect by gender in the association between FPG and inflammation in Japanese community-dwelling adults.
Several previous studies show that gender, FPG and obesity are independent confounding factors for increased hsCRP. In a total of 1,737 Korean subjects aged >60 years, multiple regression analysis using hsCRP as a dependent variable showed that BMI and white blood cell count as well as fasting insulin, post-load 2 h glucose, hematocrit and LDL-C were significant independent variables [16]. In 520 Chinese patients with type 2 diabetes, insulin resistance was associated with CRP levels independent of abdominal obesity [17]. Unek et al. [18] report that obese patients show a significant increase in hsCRP and soluble CD40 ligand levels compared with normal weight subjects, which might contribute to the known proinflammatory milieu found in these patients. In a total of 16,616 men and non-pregnant women aged ≥ 17 years, after adjustment for potential confounders, the adjusted OR of obese men and women for increased CRP was 2.13 (95% CI, 1.56-2.91) and 6.21 (95% CI, 4.94-7.81), respectively. In addition, BMI was associated with increased CRP levels in women only [19]. In a population-based cross-sectional study, fasting glucose remained significantly and independently related to CRP levels [10, 11], and hsCRP as well as the insulin resistance indices increased gradually even in the normal fasting glucose range, supporting the rationale for expanding the range of fasting hyperglycemia [12]. Moreover, an increase in CRP levels was greater in women than men in the obesity and higher fasting glucose category, and this association was more pronounced in women [11]. In our study, increased FPG levels were positively associated with increased hsCRP, independent of other confounders, especially in obese women and the association was also shown to be within the normal range in obese participants.
There are several possible mechanisms linking FPG, gender, obesity and hsCRP. This result shows that high FPG levels can increase levels of key proteins (e.g., hsCRP) that result in inflammation. In experimental studies, human monocytes show a glucose-dependent increase in TNF-α and IL-6 production [2022]. In female Turkish subjects, subjects with impaired glucose tolerance had higher fasting serum TNF-α levels than subjects with normal glucose tolerance (p < 0.01), and serum TNF-α and IL-6 concentrations were elevated during the glucose challenge (for each comparison, p < 0.01) [23]. It has also been demonstrated that IL-6 and high glucose synergistically stimulate matrix metalloproteinase-1 (MMP-1) expression in mononuclear phagocytes, and IL-6 and high glucose synergistically upregulate MMP-1 expression by U937 mononuclear phagocytes [24]. Obesity per se is also an important risk factor of the development of type 2 diabetes and is associated with low-grade systemic inflammation [25]. Furthermore, Fat accumulation in the liver or adipose tissues can induce inflammatory cytokines such as TNF-α, IL-6, and IL-8 [26]. These cytokines produced by adipocytes stimulate hepatic synthesis of CRP, which is an acute-phase protein, and influence insulin resistance as well as lipid and glucose metabolisms [3, 2729]. All these factors result in the production of CRP.
Other mechanisms may contribute to the altered glucose metabolism demonstrated. Adiponectin is an adipocyte-secreted cytokine, which has insulin sensitizing, anti-inflammatory, and anti-atherosclerotic properties [30, 31], and is decreased in persons that are obese and have diabetes [32]. Decreased adiponectin could affect blood glucose and systemic inflammation. However, in our study, an association between FPG and hsCRP remained significant after adjusting for confounding factors including BMI and HMW adiponectin.
Our finding showed that gender interaction in the association between MetS and hsCRP suggest that hormones may play an important role in the inflammatory mechanism [33, 34]. In our study, increased BMI was associated with increased hsCRP concentrations in both genders, however, the correlation coefficients between hsCRP and BMI were much higher in women (r = 0.355) than in men (r = 0.188). These results demonstrated that inflammatory response may be more enhanced through adipose tissue-secreted cytokine expression in women [11]. Thus, sex hormones may be responsible for the association of fasting glucose with hsCRP. In postmenopausal women, this gender-specific effect of fasting glucose on inflammation might help to explain an increase in the relative risk for MetS and CVD [35]
Several limitations should be considered in this study. First, our cross-sectional study design does not eliminate potential causal relationships between CRP and FPG. Second, FPG categories are based on a single assessment of blood, which may introduce a misclassification bias. Third, we could not eliminate the possible effect of medication for hypertension on the present findings. Therefore the demographics and referral source may limit generalizability.
In conclusion, the present study showed that FPG levels are strongly associated with hsCRP in the general population with obesity. The underlying mechanism behind this relationship is unclear, but seems to be independent of traditional cardiovascular risk factors such as age, BMI, smoking status, alcohol consumption, blood pressure, lipids, or uric acid. Thus, the FPG levels (especially, higher values of normal FPG, IFG, and women) in persons with obesity might provide an important marker for the assessment of atherogenic risk as well as a therapeutic target for the modification of atherogenic risks. For healthy community-dwelling persons, prospective population-based studies are needed to investigate the mechanisms underlying this association to determine whether intervention, such as effective lifestyle modifications and medication (e.g., antihypertensive, antilipidemic, and diabetic medication) that decrease BMI and FPG in adults, will decrease hsCRP.

Acknowledgements

This work was supported in part by a grant-in-aid for Scientific Research from the Foundation for Development of Community (2011).
This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://​creativecommons.​org/​licenses/​by/​2.​0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Competing interests

The authors declare that they have no competing interests.

Authors' contributions

RK, YT, and KK participated in the design of the study, performed the statistical analysis and drafted the manuscript. NO, TK, and TK contributed to the acquisition of data and its interpretation. ST and MA contributed to the conception and design of the statistical analysis. TM conceived of the study, participated in its design, coordination and helped to draft the manuscript. All authors read and approved the manuscript.
Anhänge

Authors’ original submitted files for images

Below are the links to the authors’ original submitted files for images.
Literatur
1.
Zurück zum Zitat Ford ES: The metabolic syndrome and C-reactive protein, fibrinogen, and leukocyte count: findings from the Third National Health and Nutrition Examination Survey. Atherosclerosis. 2003, 168: 351-358. 10.1016/S0021-9150(03)00134-5.CrossRefPubMed Ford ES: The metabolic syndrome and C-reactive protein, fibrinogen, and leukocyte count: findings from the Third National Health and Nutrition Examination Survey. Atherosclerosis. 2003, 168: 351-358. 10.1016/S0021-9150(03)00134-5.CrossRefPubMed
2.
Zurück zum Zitat Tomiyama H, Koji Y, Yambe M, Motobe K, Shiina K, Gulnisa Z, Yamamoto Y, Yamashina A: Elevated C-reactive protein augments increased arterial stiffness in subjects with the metabolic syndrome. Hypertension. 2005, 45: 997-1003. 10.1161/01.HYP.0000165018.63523.8a.CrossRefPubMed Tomiyama H, Koji Y, Yambe M, Motobe K, Shiina K, Gulnisa Z, Yamamoto Y, Yamashina A: Elevated C-reactive protein augments increased arterial stiffness in subjects with the metabolic syndrome. Hypertension. 2005, 45: 997-1003. 10.1161/01.HYP.0000165018.63523.8a.CrossRefPubMed
3.
Zurück zum Zitat Sabanayagam C, Shankar A, Lim SC, Lee J, Tai ES, Wong TY: Serum C-reactive protein level and prediabetes in two Asian populations. Diabetologia. 2011, 54: 767-775. 10.1007/s00125-011-2052-5.CrossRefPubMed Sabanayagam C, Shankar A, Lim SC, Lee J, Tai ES, Wong TY: Serum C-reactive protein level and prediabetes in two Asian populations. Diabetologia. 2011, 54: 767-775. 10.1007/s00125-011-2052-5.CrossRefPubMed
4.
Zurück zum Zitat Ridker PM, Buring JE, Shih J, Matias M, Hennekens CH: Prospective study of C-reactive protein and the risk of future cardiovascular events among apparently healthy women. Circulation. 1998, 98: 731-733.CrossRefPubMed Ridker PM, Buring JE, Shih J, Matias M, Hennekens CH: Prospective study of C-reactive protein and the risk of future cardiovascular events among apparently healthy women. Circulation. 1998, 98: 731-733.CrossRefPubMed
5.
Zurück zum Zitat Anan F, Masaki T, Kikuchi H, Iwao T, Shimomura T, Umeno Y, Eshima N, Saikawa T, Yoshimatsu H: Association between plasma high-sensitivity C-reactive protein and insulin resistance and white matter lesions in Japanese type 2 diabetic patients. Diabetes Res Clin Pract. 2010, 87: 233-239. 10.1016/j.diabres.2009.10.017.CrossRefPubMed Anan F, Masaki T, Kikuchi H, Iwao T, Shimomura T, Umeno Y, Eshima N, Saikawa T, Yoshimatsu H: Association between plasma high-sensitivity C-reactive protein and insulin resistance and white matter lesions in Japanese type 2 diabetic patients. Diabetes Res Clin Pract. 2010, 87: 233-239. 10.1016/j.diabres.2009.10.017.CrossRefPubMed
7.
Zurück zum Zitat Coutinho M, Gerstein HC, Wang Y, Yusuf S: The relationship between glucose and incident cardiovascular events: a metaregression analysis of published data from 20 studies of 95,783 individuals followed for 12.4 year. Diabetes Care. 1999, 22: 233-240. 10.2337/diacare.22.2.233.CrossRefPubMed Coutinho M, Gerstein HC, Wang Y, Yusuf S: The relationship between glucose and incident cardiovascular events: a metaregression analysis of published data from 20 studies of 95,783 individuals followed for 12.4 year. Diabetes Care. 1999, 22: 233-240. 10.2337/diacare.22.2.233.CrossRefPubMed
8.
Zurück zum Zitat Devaraj S, Venugopal SK, Singh U, Jialal I: Hyperglycemia induces monocytic release of interleukin-6 via induction of protein kinase c-{alpha} and -{beta}. Diabetes. 2005, 54: 85-91. 10.2337/diabetes.54.1.85.CrossRefPubMed Devaraj S, Venugopal SK, Singh U, Jialal I: Hyperglycemia induces monocytic release of interleukin-6 via induction of protein kinase c-{alpha} and -{beta}. Diabetes. 2005, 54: 85-91. 10.2337/diabetes.54.1.85.CrossRefPubMed
9.
Zurück zum Zitat Santos AC, Lopes C, Guimarães JT, Barros H: Central obesity as a major determinant of increased high-sensitivity C-reactive protein in metabolic syndrome. Int J Obes (Lond). 2005, 29: 1452-1456. 10.1038/sj.ijo.0803035.CrossRef Santos AC, Lopes C, Guimarães JT, Barros H: Central obesity as a major determinant of increased high-sensitivity C-reactive protein in metabolic syndrome. Int J Obes (Lond). 2005, 29: 1452-1456. 10.1038/sj.ijo.0803035.CrossRef
10.
Zurück zum Zitat Aronson D, Bartha P, Zinder O, Kerner A, Shitman E, Markiewicz W, Brook GJ, Levy Y: Association between fasting glucose and C-reactive protein in middle-aged subjects. Diabet Med. 2004, 21: 39-44. 10.1046/j.1464-5491.2003.01084.x.CrossRefPubMed Aronson D, Bartha P, Zinder O, Kerner A, Shitman E, Markiewicz W, Brook GJ, Levy Y: Association between fasting glucose and C-reactive protein in middle-aged subjects. Diabet Med. 2004, 21: 39-44. 10.1046/j.1464-5491.2003.01084.x.CrossRefPubMed
11.
Zurück zum Zitat Nakanishi N, Shiraishi T, Wada M: Association between fasting glucose and C-reactive protein in a Japanese population: the Minoh study. Diabetes Res Clin Pract. 2005, 69: 88-98. 10.1016/j.diabres.2004.11.009.CrossRefPubMed Nakanishi N, Shiraishi T, Wada M: Association between fasting glucose and C-reactive protein in a Japanese population: the Minoh study. Diabetes Res Clin Pract. 2005, 69: 88-98. 10.1016/j.diabres.2004.11.009.CrossRefPubMed
12.
Zurück zum Zitat Rhee EJ, Kim YC, Lee WY, Jung CH, Sung KC, Ryu SH, Oh KW, Kim SW: Comparison of insulin resistance and serum high-sensitivity C-reactive protein levels according to the fasting blood glucose subgroups divided by the newly recommended criteria for fasting hyperglycemia in 10059 healthy Koreans. Metabolism. 2006, 55: 183-187. 10.1016/j.metabol.2005.08.010.CrossRefPubMed Rhee EJ, Kim YC, Lee WY, Jung CH, Sung KC, Ryu SH, Oh KW, Kim SW: Comparison of insulin resistance and serum high-sensitivity C-reactive protein levels according to the fasting blood glucose subgroups divided by the newly recommended criteria for fasting hyperglycemia in 10059 healthy Koreans. Metabolism. 2006, 55: 183-187. 10.1016/j.metabol.2005.08.010.CrossRefPubMed
13.
Zurück zum Zitat Nakanishi N, Shiraishi T, Wada M: C-reactive protein concentration is more strongly related to metabolic syndrome in women than in men: the Minoh Study. Circ J. 2005, 69: 386-391. 10.1253/circj.69.386.CrossRefPubMed Nakanishi N, Shiraishi T, Wada M: C-reactive protein concentration is more strongly related to metabolic syndrome in women than in men: the Minoh Study. Circ J. 2005, 69: 386-391. 10.1253/circj.69.386.CrossRefPubMed
14.
Zurück zum Zitat Lakoski SG, Cushman M, Criqui M, Rundek T, Blumenthal RS, D'Agostino RB, Herrington DM: Gender and C-reactive protein: data from the Multiethnic Study of Atherosclerosis (MESA) cohort. Am Heart J. 2006, 152: 593-598. 10.1016/j.ahj.2006.02.015.CrossRefPubMed Lakoski SG, Cushman M, Criqui M, Rundek T, Blumenthal RS, D'Agostino RB, Herrington DM: Gender and C-reactive protein: data from the Multiethnic Study of Atherosclerosis (MESA) cohort. Am Heart J. 2006, 152: 593-598. 10.1016/j.ahj.2006.02.015.CrossRefPubMed
15.
Zurück zum Zitat Kawamoto R, Tabara Y, Kohara K, Miki T, Kusunoki T, Takayama S, Abe M, Katoh T, Ohtsuka N: High-sensitivity C-reactive protein and gamma-glutamyl transferase levels are synergistically associated with metabolic syndrome in community-dwelling persons. Cardiovascular Diabetology. 2010, 9: 87-10.1186/1475-2840-9-87.PubMedCentralCrossRefPubMed Kawamoto R, Tabara Y, Kohara K, Miki T, Kusunoki T, Takayama S, Abe M, Katoh T, Ohtsuka N: High-sensitivity C-reactive protein and gamma-glutamyl transferase levels are synergistically associated with metabolic syndrome in community-dwelling persons. Cardiovascular Diabetology. 2010, 9: 87-10.1186/1475-2840-9-87.PubMedCentralCrossRefPubMed
16.
Zurück zum Zitat Choi KM, Lee J, Lee KW, Seo JA, Oh JH, Kim SG, Kim NH, Choi DS, Baik SH: Comparison of serum concentrations of C-reactive protein, TNF-alpha, and interleukin 6 between elderly Korean women with normal and impaired glucose tolerance. Diabetes Res Clin Pract. 2004, 64: 99-106. 10.1016/j.diabres.2003.10.007.CrossRefPubMed Choi KM, Lee J, Lee KW, Seo JA, Oh JH, Kim SG, Kim NH, Choi DS, Baik SH: Comparison of serum concentrations of C-reactive protein, TNF-alpha, and interleukin 6 between elderly Korean women with normal and impaired glucose tolerance. Diabetes Res Clin Pract. 2004, 64: 99-106. 10.1016/j.diabres.2003.10.007.CrossRefPubMed
17.
Zurück zum Zitat Lu B, Yang Y, Yang Z, Feng X, Wang X, Zhang Z, Hu R: Insulin resistance in Chinese patients with type 2 diabetes is associated with C-reactive protein independent of abdominal obesity. Cardiovasc Diabetol. 2010, 9: 92-10.1186/1475-2840-9-92.PubMedCentralCrossRefPubMed Lu B, Yang Y, Yang Z, Feng X, Wang X, Zhang Z, Hu R: Insulin resistance in Chinese patients with type 2 diabetes is associated with C-reactive protein independent of abdominal obesity. Cardiovasc Diabetol. 2010, 9: 92-10.1186/1475-2840-9-92.PubMedCentralCrossRefPubMed
18.
Zurück zum Zitat Unek IT, Bayraktar F, Solmaz D, Ellidokuz H, Sisman AR, Yuksel F, Yesil S: The levels of soluble CD40 ligand and C-reactive protein in normal weight, overweight and obese people. Clin Med Res. 2010, 8: 89-95. 10.3121/cmr.2010.889.PubMedCentralCrossRefPubMed Unek IT, Bayraktar F, Solmaz D, Ellidokuz H, Sisman AR, Yuksel F, Yesil S: The levels of soluble CD40 ligand and C-reactive protein in normal weight, overweight and obese people. Clin Med Res. 2010, 8: 89-95. 10.3121/cmr.2010.889.PubMedCentralCrossRefPubMed
19.
Zurück zum Zitat Visser M, Bouter LM, McQuillan GM, Wener MH, Harris TB: Elevated C-reactive protein levels in overweight and obese adults. JAMA. 1999, 282: 2131-2135. 10.1001/jama.282.22.2131.CrossRefPubMed Visser M, Bouter LM, McQuillan GM, Wener MH, Harris TB: Elevated C-reactive protein levels in overweight and obese adults. JAMA. 1999, 282: 2131-2135. 10.1001/jama.282.22.2131.CrossRefPubMed
20.
Zurück zum Zitat Hancu N, Netea MG, Baciu I: High glucose concentrations increase the tumor necrosis factor-alpha production capacity by human peripheral blood mononuclear cells. Rom J Physiol. 1998, 35: 325-330.PubMed Hancu N, Netea MG, Baciu I: High glucose concentrations increase the tumor necrosis factor-alpha production capacity by human peripheral blood mononuclear cells. Rom J Physiol. 1998, 35: 325-330.PubMed
21.
Zurück zum Zitat Morohoshi M, Fujisawa K, Uchimura I, Numano F: Glucose-dependent interleukin 6 and tumor necrosis factor production by human peripheral blood monocytes in vitro. Diabetes. 1996, 45: 954-959. 10.2337/diabetes.45.7.954.CrossRefPubMed Morohoshi M, Fujisawa K, Uchimura I, Numano F: Glucose-dependent interleukin 6 and tumor necrosis factor production by human peripheral blood monocytes in vitro. Diabetes. 1996, 45: 954-959. 10.2337/diabetes.45.7.954.CrossRefPubMed
22.
Zurück zum Zitat Esposito K, Nappo F, Marfella R, Giugliano G, Giugliano F, Ciotola M, Quagliaro L, Ceriello A, Giugliano D: Inflammatory cytokine concentrations are acutely increased by hyperglycemia in humans: role of oxidative stress. Circulation. 2002, 106: 2067-2072. 10.1161/01.CIR.0000034509.14906.AE.CrossRefPubMed Esposito K, Nappo F, Marfella R, Giugliano G, Giugliano F, Ciotola M, Quagliaro L, Ceriello A, Giugliano D: Inflammatory cytokine concentrations are acutely increased by hyperglycemia in humans: role of oxidative stress. Circulation. 2002, 106: 2067-2072. 10.1161/01.CIR.0000034509.14906.AE.CrossRefPubMed
23.
Zurück zum Zitat Konukoglu D, Hatemi H, Bayer H, Bağriaçik N: Relationship between serum concentrations of interleukin-6 and tumor necrosis factor alpha in female Turkish subjects with normal and impaired glucose tolerance. Horm Metab Res. 2006, 38: 34-37. 10.1055/s-2006-924974.CrossRefPubMed Konukoglu D, Hatemi H, Bayer H, Bağriaçik N: Relationship between serum concentrations of interleukin-6 and tumor necrosis factor alpha in female Turkish subjects with normal and impaired glucose tolerance. Horm Metab Res. 2006, 38: 34-37. 10.1055/s-2006-924974.CrossRefPubMed
24.
Zurück zum Zitat Yanchun Li Y, Devadoss J, Samuvel DJ, Kamala P, Sundararaj KP, Maria F, Lopes-Virella MF, Huang Y: IL-6 and high glucose synergistically upregulate MMP-1 expression by U937 mononuclear phagocytes via ERK1/2 and JNK pathways and c-Jun. Journal of Cellular Biochemistry. 2010, 110: 248-259.PubMedCentralPubMed Yanchun Li Y, Devadoss J, Samuvel DJ, Kamala P, Sundararaj KP, Maria F, Lopes-Virella MF, Huang Y: IL-6 and high glucose synergistically upregulate MMP-1 expression by U937 mononuclear phagocytes via ERK1/2 and JNK pathways and c-Jun. Journal of Cellular Biochemistry. 2010, 110: 248-259.PubMedCentralPubMed
25.
Zurück zum Zitat Thorand B, Lowel H, Schneider A, Kolb H, Meisinger C, Frohlich M, Koenig W: C-reactive protein as a predictor for incident diabetes mellitus among middle-aged men: results from the MONICA Augsburg cohort study, 1984-1998. Arch Intern Med. 2003, 163: 93-99. 10.1001/archinte.163.1.93.CrossRefPubMed Thorand B, Lowel H, Schneider A, Kolb H, Meisinger C, Frohlich M, Koenig W: C-reactive protein as a predictor for incident diabetes mellitus among middle-aged men: results from the MONICA Augsburg cohort study, 1984-1998. Arch Intern Med. 2003, 163: 93-99. 10.1001/archinte.163.1.93.CrossRefPubMed
26.
Zurück zum Zitat Fain JN: Release of interleukins and other inflammatory cytokines by human adipose tissue is enhanced in obesity and primarily due to the nonfat cells. Vitam Horm. 2006, 74: 443-477.CrossRefPubMed Fain JN: Release of interleukins and other inflammatory cytokines by human adipose tissue is enhanced in obesity and primarily due to the nonfat cells. Vitam Horm. 2006, 74: 443-477.CrossRefPubMed
27.
Zurück zum Zitat Kern PA, Ranganathan S, Li C, Wood L, Ranganathan G: Adipose tissue tumor necrosis factor and interleukin-6 expression in human obesity and insulin resistance. Am J Physiol Endocrinol Metab. 2001, 280: E745-751.PubMed Kern PA, Ranganathan S, Li C, Wood L, Ranganathan G: Adipose tissue tumor necrosis factor and interleukin-6 expression in human obesity and insulin resistance. Am J Physiol Endocrinol Metab. 2001, 280: E745-751.PubMed
28.
Zurück zum Zitat Kern PA, Ranganathan S, Li C, Wood L, Ranganathan G: Adipose tissue tumor necrosis factor and interleukin-6 expression in human obesity and insulin resistance. Am J Physiol Endocrinol Metab. 2001, 280: E745-751.PubMed Kern PA, Ranganathan S, Li C, Wood L, Ranganathan G: Adipose tissue tumor necrosis factor and interleukin-6 expression in human obesity and insulin resistance. Am J Physiol Endocrinol Metab. 2001, 280: E745-751.PubMed
29.
Zurück zum Zitat Carey AL, Bruce CR, Sacchetti M, Anderson MJ, Olsen DB, Saltin B, Hawley JA, Febbraio MA: Interleukin-6 and tumor necrosis factor-alpha are not increased in patients with Type 2 diabetes: evidence that plasma interleukin-6 is related to fat mass and not insulin responsiveness. Diabetologia. 2004, 47: 1029-1037.PubMed Carey AL, Bruce CR, Sacchetti M, Anderson MJ, Olsen DB, Saltin B, Hawley JA, Febbraio MA: Interleukin-6 and tumor necrosis factor-alpha are not increased in patients with Type 2 diabetes: evidence that plasma interleukin-6 is related to fat mass and not insulin responsiveness. Diabetologia. 2004, 47: 1029-1037.PubMed
30.
Zurück zum Zitat Yamauchi T, Kamon J, Waki H, Terauchi Y, Kubota N, Hara K, Mori Y, Ide T, Murakami K, Tsuboyama-Kasaoka N, Ezaki O, Akanuma Y, Gavrilova O, Vinson C, Reitman ML, Kagechika H, Shudo K, Yoda M, Nakano Y, Tobe K, Nagai R, Kimura S, Tomita M, Froguel P, Kadowaki T: The fat-derived hormone adiponectin reverses insulin resistance associated with both lipoatrophy and obesity. Nat Med. 2001, 7: 941-946. 10.1038/90984.CrossRefPubMed Yamauchi T, Kamon J, Waki H, Terauchi Y, Kubota N, Hara K, Mori Y, Ide T, Murakami K, Tsuboyama-Kasaoka N, Ezaki O, Akanuma Y, Gavrilova O, Vinson C, Reitman ML, Kagechika H, Shudo K, Yoda M, Nakano Y, Tobe K, Nagai R, Kimura S, Tomita M, Froguel P, Kadowaki T: The fat-derived hormone adiponectin reverses insulin resistance associated with both lipoatrophy and obesity. Nat Med. 2001, 7: 941-946. 10.1038/90984.CrossRefPubMed
31.
Zurück zum Zitat Cnop M, Havel PJ, Utzschneider KM, Carr DB, Sinha MK, Boyko EJ, Retzlaff BM, Knopp RH, Brunzell JD, Kahn SE: Relationship of adiponectin to body fat distribution, insulin sensitivity and plasma lipoproteins: evidence for independent roles of age and sex. Diabetologia. 2003, 46: 459-469.PubMed Cnop M, Havel PJ, Utzschneider KM, Carr DB, Sinha MK, Boyko EJ, Retzlaff BM, Knopp RH, Brunzell JD, Kahn SE: Relationship of adiponectin to body fat distribution, insulin sensitivity and plasma lipoproteins: evidence for independent roles of age and sex. Diabetologia. 2003, 46: 459-469.PubMed
32.
Zurück zum Zitat You T, Yang R, Lyles MF, Gong D, Nicklas BJ: Abdominal adipose tissue cytokine gene expression: relationship to obesity and metabolic risk factors. Am J Physiol. 2005, 288: E741-E747. You T, Yang R, Lyles MF, Gong D, Nicklas BJ: Abdominal adipose tissue cytokine gene expression: relationship to obesity and metabolic risk factors. Am J Physiol. 2005, 288: E741-E747.
33.
Zurück zum Zitat Thorand B, Baumert J, Kolb H, Meisinger C, Chambless L, Koenig W, Herder C: Sex differences in the prediction of type 2 diabetes by inflammatory markers: results from the MONICA/KORA Augsburg case-cohort study, 1984-2002. Diabetes Care. 2007, 30: 854-860. 10.2337/dc06-1693.CrossRefPubMed Thorand B, Baumert J, Kolb H, Meisinger C, Chambless L, Koenig W, Herder C: Sex differences in the prediction of type 2 diabetes by inflammatory markers: results from the MONICA/KORA Augsburg case-cohort study, 1984-2002. Diabetes Care. 2007, 30: 854-860. 10.2337/dc06-1693.CrossRefPubMed
34.
Zurück zum Zitat Ding EL, Song Y, Malik VS, Liu S: Sex differences of endogenous sex hormones and risk of type 2 diabetes: a systematic review and meta-analysis. JAMA. 2006, 295: 1288-1299. 10.1001/jama.295.11.1288.CrossRefPubMed Ding EL, Song Y, Malik VS, Liu S: Sex differences of endogenous sex hormones and risk of type 2 diabetes: a systematic review and meta-analysis. JAMA. 2006, 295: 1288-1299. 10.1001/jama.295.11.1288.CrossRefPubMed
35.
Zurück zum Zitat Rutter MK, Meigs JB, Sullivan LM, D'Agostino RB, Wilson PW: C-reactive protein, the metabolic syndrome, and prediction of cardiovascular events in the Framingham Offspring Study. Circulation. 2004, 110: 380-385. 10.1161/01.CIR.0000136581.59584.0E.CrossRefPubMed Rutter MK, Meigs JB, Sullivan LM, D'Agostino RB, Wilson PW: C-reactive protein, the metabolic syndrome, and prediction of cardiovascular events in the Framingham Offspring Study. Circulation. 2004, 110: 380-385. 10.1161/01.CIR.0000136581.59584.0E.CrossRefPubMed
Metadaten
Titel
Association between fasting plasma glucose and high-sensitivity C-reactive protein: gender differences in a Japanese community-dwelling population
verfasst von
Ryuichi Kawamoto
Yasuharu Tabara
Katsuhiko Kohara
Tetsuro Miki
Tomo Kusunoki
Shuzo Takayama
Masanori Abe
Tateaki Katoh
Nobuyuki Ohtsuka
Publikationsdatum
01.12.2011
Verlag
BioMed Central
Erschienen in
Cardiovascular Diabetology / Ausgabe 1/2011
Elektronische ISSN: 1475-2840
DOI
https://doi.org/10.1186/1475-2840-10-51

Weitere Artikel der Ausgabe 1/2011

Cardiovascular Diabetology 1/2011 Zur Ausgabe

Leitlinien kompakt für die Innere Medizin

Mit medbee Pocketcards sicher entscheiden.

Seit 2022 gehört die medbee GmbH zum Springer Medizin Verlag

Notfall-TEP der Hüfte ist auch bei 90-Jährigen machbar

26.04.2024 Hüft-TEP Nachrichten

Ob bei einer Notfalloperation nach Schenkelhalsfraktur eine Hemiarthroplastik oder eine totale Endoprothese (TEP) eingebaut wird, sollte nicht allein vom Alter der Patientinnen und Patienten abhängen. Auch über 90-Jährige können von der TEP profitieren.

Niedriger diastolischer Blutdruck erhöht Risiko für schwere kardiovaskuläre Komplikationen

25.04.2024 Hypotonie Nachrichten

Wenn unter einer medikamentösen Hochdrucktherapie der diastolische Blutdruck in den Keller geht, steigt das Risiko für schwere kardiovaskuläre Ereignisse: Darauf deutet eine Sekundäranalyse der SPRINT-Studie hin.

Bei schweren Reaktionen auf Insektenstiche empfiehlt sich eine spezifische Immuntherapie

Insektenstiche sind bei Erwachsenen die häufigsten Auslöser einer Anaphylaxie. Einen wirksamen Schutz vor schweren anaphylaktischen Reaktionen bietet die allergenspezifische Immuntherapie. Jedoch kommt sie noch viel zu selten zum Einsatz.

Therapiestart mit Blutdrucksenkern erhöht Frakturrisiko

25.04.2024 Hypertonie Nachrichten

Beginnen ältere Männer im Pflegeheim eine Antihypertensiva-Therapie, dann ist die Frakturrate in den folgenden 30 Tagen mehr als verdoppelt. Besonders häufig stürzen Demenzkranke und Männer, die erstmals Blutdrucksenker nehmen. Dafür spricht eine Analyse unter US-Veteranen.

Update Innere Medizin

Bestellen Sie unseren Fach-Newsletter und bleiben Sie gut informiert.