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Diabetes Research and Clinical Practice 71 (2006) 299–305
Interleukin-6–174 G > C polymorphism affects the
association between IL-6 plasma levels and insulin
resistance in type 2 diabetic patients
R. Testa a,*, F. Olivieri b, A.R. Bonfigli a, C. Sirolla a, M. Boemi a,F. Marchegiani b, M. Marra a, S. Cenerelli a, R. Antonicelli c,
A. Dolci d, G. Paolisso e, C. Franceschi b,f,g
aDiabetology Unit, INRCA, Via Della Montagnola, 81, I-60131, Ancona, ItalybCenter of Molecular Biology and Genetics, INRCA, Ancona, Italy
cCardiology Unit, INRCA, Ancona, ItalydMultimedica Laboratories, Milan, Italy
eDepartment of Geriatrics and Metabolic Diseases, Second University of Naples, ItalyfDepartment of Experimental Pathology, Bologna University, Bologna, Italy
g Interdepartmental Center ‘‘Galvani’’ (CIG), Bologna University, Bologna, Italy
Received 10 March 2005; received in revised form 15 July 2005; accepted 18 July 2005
Available online 2 September 2005
Abstract
Interleukin-6 (IL-6), a powerful inflammatory mediator, plays a pivotal role in the pathogenesis of insulin resistance and
type 2 diabetes. Recently, the IL-6 promoter polymorphism, at position �174 (G > C), has been associated to insulin sensitivity
althoughcontrastingdatahavebeenreported.Theaimofthisstudywastoevaluate theeffectof theIL-6–174G > Cpolymorphismon
insulinresistance. In238type2diabeticpatientswithoutdiabeticcomplicationsandin255controlsubjects,ageandgender-matched,
we evaluated the IL-6 –174 G > C genotype, the IL-6 plasma levels and the insulin resistance by the homeostasis model
assessment (HOMA). The levels of IL-6 and HOMA were not genotype-dependent and were higher in diabetic patients
( p < 0.01).Controlsubjects,bothC+(CG + CCgenotypes)andC� (GGgenotype)carriers, showedIL-6plasmalevelssignificantly
related to BMI, fasting insulin and HOMA. The same relationships were found in C+ diabetic carriers. Differently, diabetic
C� carriers did not show any relationship between IL-6 levels and all the evaluated variables. Interestingly, all the correlations
were dependent on BMI. These findings highlight that IL-6–174G > C polymorphism affects insulin resistance in type 2 diabetes,
where C+ carriers have an insulin resistance ‘‘IL-6-sensitive’’, while C� carriers do not. The identification of two categories of
diabetic patients may, therefore, lead to different therapeutic strategies in the management of insulin resistance.# 2005 Elsevier Ireland Ltd. All rights reserved.
Keywords: Interleukin-6; –174 G > C interleukin-6 polymorphism; Insulin resistance; HOMA; Type 2 diabetes
* Corresponding author. Tel.: +39 071 8003854; fax: +39 071 8003556.
E-mail address: [email protected] (R. Testa).
0168-8227/$ – see front matter # 2005 Elsevier Ireland Ltd. All rights reserved.
doi:10.1016/j.diabres.2005.07.007
R. Testa et al. / Diabetes Research and Clinical Practice 71 (2006) 299–305300
1. Introduction
Chronic sub clinical inflammation is closely
involved in the pathogenesis of type 2 diabetes [1–
3]. Interleukins are regulatory proteins able to
accelerate or inhibit these inflammatory processes.
Circulating levels of interleukin-6 (IL-6) are increased
in insulin-resistant states, such as obesity, impaired
glucose tolerance and type 2 diabetes [4]. IL-6 gene
harbours a G to C polymorphism at its 50-upstream.
This sequence variation affects the rate of IL-6 gene
transcription [5] and IL-6 production [6,7]. Recent
data have focused the interest of this polymorphism on
the pathogenesis of the insulin-resistant state, demon-
strating that it is involved in the risk of developing
insulin resistance and type 2 diabetes mellitus [8,9].
Contrasting data were reported regarding the relation-
ship between this polymorphism and insulin sensi-
tivity. Fernandez-Real et al. demonstrated that
subjects homozygous for the C allele showed
significantly lower post-load glucose levels, lower
glycosylated haemoglobin, lower fasting insulin levels
and an increased insulin sensitivity index than carriers
of the G allele [10]. On the contrary, Kubaszek et al.
found lower energy expenditure and lower rates of
whole-body glucose uptake in subjects homozygous
for the C allele than subjects with GC or GG genotypes
[11]. Starting from these findings, the aim of this study
was to evaluate the effect of the IL-6�174 G > C
polymorphism on insulin resistance in healthy and
type 2 diabetic subjects.
Table 1
General characteristics of the studied subjects
Control subjects (n = 255)
Age (years) 60.2 � 9.5
BMI (kg/m2) 27.2 � 4.4
Sex (male %) 36.9
Hypertension (%) 19.6
Fasting glucose (mmol/l) 5.22 � 0.59
HbA1c (%) 5.40 � 0.67
Fasting insulin (mU/l) 4.98�/�1.92
HOMA 1.14�/�1.97
Total cholesterol (mmol/l) 5.72 � 0.97
HDL (mmol/l) 1.51 � 0.79
Triglycerides (mmol/l) 1.01�/�0.02
Fibrinogen (mg/dl) 277.3 � 66.7
CRP (mg/l) 0.95�/�3.46
IL-6 (pg/ml) 0.57�/�2.74
2. Materials and methods
2.1. Subjects
Two hundred and thirty-eight type 2 diabetic
patients (98 males and 140 females, mean
age � S.D., 61.2 � 9.7 years) and 255 healthy
controls (94 males and 161 females, mean
age � S.D., 60.2 � 9.5 years) matched for age and
sex were studied after informed consent was
obtained from each subject and the protocol of the
study was approved by the Ethical Committee of
INRCA Hospital. Clinical characteristics of the
participants are shown in Table 1. The diabetic
patients, diagnosed according to the American
Diabetes Association Criteria [12], presented
absence of micro and macrovascular complications,
assessed as follows: retinopathy by fundoscopy
through dilated pupils, nephropathy by urinary
albumin excretion rate (<30 mg/24 h) and by serum
creatinine (<1.3 mg/dl), neuropathy by somatosen-
sory threshold test (Semmes–Weinstein monofila-
ments 10 g) and by vibratory threshold test, ischemic
heart disease by clinical history and by resting
electrocardiogram, peripheral vascular disease by
clinical history and, for lower limbs, by ankle-
brachial index. The choice of a diabetic group
without complications was performed in order to
avoid that the onset of overt diabetic complications
may affect the studied associations. One hundred and
forty-five (60.9%) diabetic patients were treated by
Diabetic subjects (n = 238) p
61.2 � 9.7 0.31
28.4 � 4.7 0.01
41.2 0.32
51.0 <0.01
8.68 � 2.43 <0.01
7.48 � 1.50 <0.01
6.32�/�1.87 <0.01
2.36�/�2.02 <0.01
5.66 � 0.96 0.51
1.20 � 0.31 <0.01
1.29�/�0.02 <0.01
289.0 � 80.4 0.13
2.01�/�3.20 <0.01
0.82�/�3.54 <0.01
R. Testa et al. / Diabetes Research and Clinical Practice 71 (2006) 299–305 301
Fig. 1. Plasma concentration of IL-6 in C+ (CG + CC genotypes,
closed triangles) and C� carriers (GG genotype, open circles) of the
IL-6�174 G > C polymorphism in healthy and diabetic subjects.
Each symbol represents one individual, the bar indicates the geo-
metric mean per group; *p < 0.05.
diet alone and 93 (39.1%) by metformin. People
were defined as hypertensive when they were under
active treatment or when their systolic blood
pressure was >140 mmHg and/or their diastolic
blood pressure was >90 mmHg, on at least three
different occasions. The selected individuals did not
show any other illness and did not take any other
drug. Smokers and individuals with alcohol abuse
history were excluded. All the selected patients
consumed a Mediterranean diet.
2.2. Laboratory assays
Overnight fasting venous blood samples were
collected from 8:30 to 9:00 a.m. in plain, EDTA and
citrate added tubes (Venoject, Terumo, Europe, NV).
The samples were either analyzed immediately or
stored at �808 C for no more than 10 days. Glucose,
total and HDL cholesterol, triglycerides, fibrinogen,
insulin, c-reactive protein (CRP) and HbA1c were
analyzed by routine laboratory methods.
2.3. Genotyping
DNA was extracted from peripheral blood mono-
nuclear cells (PBMC) using phenol/chloroform,
according to standard procedures. Amplification of
the �174 locus was performed as described in a
previous work [13]. PCR amplification was followed
by an overnight restriction digest of 15 ml PCR
product with Nla III enzyme, according to conditions
recommended by the supplier. The presence of a
cytosine (C allele) at nucleotide-174 was revealed by
the presence of the Nla lII cutting site. The two alleles
were revealed by electrophoretic analysis in 2%
agarose gels.
2.4. IL-6 plasma levels
Blood was collected for the IL-6 measurement in
pyrogen-free glass tubes with EDTA and centrifuged
at 600 � g for 10 min. The plasma was removed and
stored at �80 8C in pyrogen-free plastic tubes until
analysis. Plasma IL-6 levels were measured using
a commercially available dual antibody sandwich
enzyme-linked immunoassay (BioSource Cytoscreen
Human IL-6 UltraSensitive kit). This assay detects as
little as 0.1 pg/ml with no cross-detection of other
cytokines. The inter- and intra-assay percentage
coefficients of variation of the method were 3.6 and
5.3%, respectively (1.1 pg/ml).
2.5. Calculation and statistical analysis
Insulin resistance was calculated by the home-
ostasis model assessment (HOMA) model, which
assumes that normal weight and healthy subjects
aged < 35 years have a 100% b-cell function and an
insulin resistance of unity. HOMA was expressed as a
product of insulin and glucose levels divided by 22.5
[14]. Data were analyzed with SPSS/Win program
(Version 10.0; Spss Inc., Chicago, IL). The skewed
distributions were log-transformed before statistical
analyses to achieve a normal distribution. Their results
are shown as geometric means �/� antilog S.D.
Differences between control and diabetic patients
were compared in univariate analyses using Student’s
t-test for continuous variables and x2 test for
categorical variables. The distributions of IL-6�174
G > C genotypes, allele frequencies and the Hardy–
Weinberg equilibrium were analyzed by x2 test. The
two-way analysis of variance with contrast analysis
was performed to investigate the interaction effect
between IL-6 genotype and diabetes. Pearson correla-
tion coefficients were calculated to analyze the
relationship between IL-6 and the other variables
stratified by groups and IL-6 genotypes. Partial
correlations were performed to adjust the simple
correlations for the effect of BMI. Probability value
less than 0.05 was considered statistically significant.
R. Testa et al. / Diabetes Research and Clinical Practice 71 (2006) 299–305302
3. Results
Clinical characteristics of the two study groups are
reported in Table 1. As expected, diabetic patients
showed a higher percentage of hypertension, higher
BMI and higher levels of fasting glucose, HbA1c,
fasting insulin, HOMA, triglycerides, HDL, CRP and
IL-6 plasma levels. No differences in total cholesterol
and fibrinogen levels were detected between healthy
and diabetic subjects. The frequencies of the different
genotypes at C-174 G were as follows: 8% CC, 44%
GC and 48% GG genotypes in the control group and
10% CC, 40% GC and 50% GG genotypes in the
diabetic group. The genotype distributions were not
different between the control and the diabetic groups
(x2 = 1.21, d.f. = 2, p = 0.55). The genotype frequen-
cies were in Hardy–Weinberg equilibrium both in the
control and in the diabetic group. For the successive
Fig. 2. BMI, fasting glucose, HbA1c and HDL-C in healthy and diabetic su
carriers (GG genotype, open circles) of the IL-6�174 G > C polymorphism
statistical analyses, genotypes at �174 G > C locus
were grouped as ‘‘C+’’ (CC and CG) and ‘‘C�’’ (GG)
carriers. Fig. 1 shows the IL-6 plasma levels in
controls and diabetics, C+ and C� carriers. No IL-6
genotype–diabetes interaction effect was detected for
IL-6 levels (F = 0.14, d.f. = 1, p = 0.71), confirming
that IL-6 plasma levels increase only due to the effect
of diabetes (F = 10.22, d.f. = 1, p < 0.01). Figs. 2–4
show the means and the variability of the other
variables reported in Table 1, stratified by group and
genotype. For all the variables, no IL-6 genotype–
diabetes interaction effect was detected. Table 2 shows
Pearson’s and partial correlations between IL-6
plasma levels and the evaluated parameters in both
the control and diabetic groups stratified by C+ and
C� carriers. Significant correlations were found in
the control group between IL-6 levels and BMI,
fasting insulin, HOMA and CRP both in C+ and in
bjects divided in C+ (CG + CC genotypes, closed triangles) and C�. Columns are arithmetic means, the error bars are S.D.; *p < 0.05.
R. Testa et al. / Diabetes Research and Clinical Practice 71 (2006) 299–305 303
Fig. 3. Fasting insulin and HOMA in healthy and diabetic subjects
divided in C+ (CG + CC genotypes, closed triangles) and C�carriers (GG genotype, open circles) of the IL-6�174 G > C poly-
morphism. Each symbol represents one individual, the bar indicates
the geometric mean per group; *p < 0.05.
Fig. 4. Triglycerides and CRP in healthy and diabetic subjects
divided in C+ (CG + CC genotypes, closed triangles) and C�carriers (GG genotype, open circles) of the IL-6�174 G > C poly-
morphism. Each symbol represents one individual, the bar indicates
the geometric mean per group; *p < 0.05.
Table 2
Pearson’s and partial correlations adjusted for BMI between IL-6 plasma levels and the evaluated variables in healthy and diabetic C+ (CG + CC
genotypes) and C-carriers (GG genotype)
Control subjects Diabetic subjects
C+ (n = 133) C� (n = 122) C+ (n = 120) C� (n = 118)
r Partial r r Partial r r Partial r r Partial r
Age �0.16 0.04 0.18 0.07
BMI 0.24* 0.30* 0.28** 0.10
Fasting glucose �0.06 0.17 0.02 0.06
HbA1c �0.16 �0.16 0.07 0.05
Fasting insulin 0.30** 0.22 0.37** 0.19 0.28* 0.16 0.18
HOMA 0.26* 0.17 0.36** 0.22 0.27* 0.14 0.18
Total cholesterol �0.09 �0.05 0.04 0.03
HDL 0.12 �0.19 �0.11 �0.16
Triglycerides 0.08 0.11 0.21 0.17
Fibrinogen 0.22 0.12 0.14 0.15
CRP 0.24* 0.18 0.25* 0.02 0.17 0.19
* p < 0.05.** p < 0.01.
R. Testa et al. / Diabetes Research and Clinical Practice 71 (2006) 299–305304
C� carriers. In the diabetic group, only C+ subjects
showed a significant relationship between IL-6 plasma
levels and BMI, fasting insulin and HOMA, whereas
no significant correlation were found in the C�diabetic subjects. To evaluate the effect of BMI on the
above mentioned significant relationships, the partial
correlations were performed controlling for BMI. As
shown in Table 2, all the correlations disappeared.
4. Discussion
The main findings of our study are: (i) the effect of
the IL-6�174 G > C polymorphism on insulin
resistance appears when IL-6 levels are related to
insulin resistance in diabetic subjects; (ii) the C+
diabetic carriers show a relation between IL-6 levels
and insulin resistance, whereas the C� diabetic
carriers do not; (iii) BMI seems to sustain all the
relationships between IL-6 and insulin resistance. The
association between IL-6 genotype and insulin
resistance is highlighted by the data reported in
Table 2. This table clearly evidences that the
significant relationships between fasting insulin,
HOMA and IL-6 in the control subjects are not
influenced by IL-6 genotype. On the contrary, this
genotype becomes a determinant factor in the diabetic
group, where the same relationships are present only
in the C+ carriers. The IL-6�174 G > C polymorph-
ism could be, therefore, considered a genetic marker
able to discriminate two diabetic populations with
different sensitivity toward IL-6. In fact, the presence
of C allele defines a group of diabetic subjects in
which insulin action is ‘‘IL-6-sensitive’’, as in the
control group, whereas the C� diabetic carriers appear
to be ‘‘IL-6-insensitive’’. This ‘‘insensitivity’’ to the
effect of IL-6 levels in C� diabetic carriers suggests
that in these subjects insulin resistance depends on
other factors, probably not linked to inflammation.
One possible explanation may be found in the fact that
type 2 diabetes is a condition of metabolic impairment
with altered insulin sensitivity and inflammation. In
this stressed condition, the C/G polymorphism could
come into play, causing the different behaviour
between C+ and C� diabetic carriers. The underlying
mechanisms are not known. However, it was
previously reported that C+ carriers have a tight IL-
6 gene expression regulation as the presence of
cytosine in the position-174 creates a possible
inhibitor-transcription-factor-binding-site [5]. This
report leads us to hypothesize that this genetic
predisposition allows the C+ carriers to maintain
the relationship between IL-6 and insulin resistance
also in presence of diabetes. The disappearance of any
significant relationships between insulin resistance
and IL-6 plasma levels, found in control and C+
diabetic subjects after controlling for BMI, suggests
that adipose tissue plays an important role in the
balancing of inflammatory process. Our results are in
accordance with data recently reported in which it has
been demonstrated that fat mass and not insulin
responsiveness is the main factor in determining IL-6
levels [15]. On the whole, our study suggests that IL-6-
174 C+/C� genetic variant could constitute a feasible
genetic marker to identify two categories of diabetic
patients in which this genetic information could be
useful in the development of therapeutic strategies to
manage insulin resistance through pharmacogenomi-
cal and dietetic approaches.
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