Beta-cell function and insulin sensitivity at various degreesof glucose tolerance in Chinese subjects
Jiunn-Diann Lin a, Yen-Lin Chen b, Chun-Hsien Hsu c, Chung-Ze Wua, An-Tsz Hsieh a,Chang-Hsun Hsieh d, Jin-Biou Chang e, Yao-Jen Liang f, Dee Pei g,*aDivision of Endocrinology and Metabolism, Department of Internal Medicine, Shuang Ho Hospital, School of Medicine, College of Medicine,
Taipei Medical University, Taiwan, ROCbDepartment of Pathology, Cardinal Tien Hospital, Medical School, Catholic Fu-Jen University, Taipei, Taiwan, ROCcDepartment of Family Medicine, Cardinal Tien Hospital, Medical School, Catholic Fu-Jen University, Taipei, Taiwan, ROCdDivision of Endocrinology and Metabolism, Department of Internal Medicine, Tri-Service General Hospital, National Defense Medical School,
Taiwan, ROCeDepartment of Pathology, National Defense Medical Center, Division of Clinical Pathology, Tri-Service General Hospital, Taipei, Taiwan, ROCfDepartment and Institute of Life Science, Fu-Jen Catholic University, New Taipei City, Taiwan, ROCgDepartment of Internal Medicine, Cardinal Tien Hospital, Medical School, Catholic Fu Jen University, Taipei, Taiwan, ROC
d i a b e t e s r e s e a r c h a n d c l i n i c a l p r a c t i c e 1 0 0 ( 2 0 1 3 ) 3 9 1 – 3 9 7
a r t i c l e i n f o
Article history:
Received 6 August 2012
Received in revised form
19 December 2012
Accepted 14 March 2013
Published on line 13 April 2013
Keywords:
First phase insulin secretion
Second phase insulin secretion
Type 2 diabetes
a b s t r a c t
Aims: The aim of this study was to evaluate the relative importance of insulin sensitivity (SI),
and the first (1st ISEC) and second phase insulin secretion (2nd ISEC) in the development of
type 2 diabetes (T2D) in Chinese subjects.
Methods: A total of 96 subjects, including 19 with normal fasting glucose, 21 with pre-
diabetes, and 56 with T2D were enrolled. Subjects underwent a modified low dose graded
glucose infusion (M-LDGGI; a simplified version of Polonsky’s method) and frequently
sampled intravenous glucose tolerance test. The results were interpreted as the slope of
the changes of plasma insulin against the glucose levels. By observing the respective
percentage reduction, the deterioration rate of each parameter was compared.
Results: As fasting plasma glucose (FPG) levels increased, SI decreased mildly and non-signifi-
cantly, while the 1st and 2nd ISECs decreased more dramatically and significantly. More
importantly, the decrease of the 1st ISEC from baseline was greater than that of the 2nd ISEC.
Conclusions: Since the 1st ISEC decreased the most with increasing FPG levels, it is concluded
that the 1st ISEC is the key trigger of T2D development. On the contrary, the 2nd ISEC
remained more stable across increasing FPG levels. This latter finding may explain the
effectiveness of insulin secretagogues during the early stage of T2D. The results of this study
can be helpful in the development of interventions aimed at stopping the progression and/or
treating T2D in Chinese populations.
# 2013 Elsevier Ireland Ltd. All rights reserved.
* Corresponding author at: Dept. of Internal Medicine, Cardinal Tien Hospital, No. 362, Chung Cheng Rd., Xindian City, Taipei County 23137,Taiwan, ROC. Tel.: +886 2 22193391; fax: +886 2 22195821.
E-mail address: [email protected] (D. Pei).
Abbreviations: SI, insulin sensitivity; 1st ISEC, first insulin secretion phase; 2nd ISEC, second insulin secretion phase; IR, insulinresistance; FPG, fasting plasma glucose; NFG, normal fasting plasma glucose; PreDM, pre-diabetes; T2D, type 2 diabetes; AIRg, acuteinsulin response after the glucose load; FPI, fasting plasma insulin; HOMA-IR, homeostasis model assessment of insulin resistance;HOMA-B, homeostasis model assessment of beta-cell function; M-LDGGI, modified low dose graded glucose infusion test; FSIGT, frequent
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d i a b e t e s r e s e a r c h a n d c l i n i c a l p r a c t i c e 1 0 0 ( 2 0 1 3 ) 3 9 1 – 3 9 7392
1. Introduction
Impaired insulin sensitivity (SI) and reduced insulin secretion
(ISEC) are the two major pathophysiologic abnormalities
underlying type 2 diabetes (T2D) [1]. It is generally agreed
that beta cell secretion increases in order to maintain normal
glucose homeostasis among subjects with insulin resistance
(IR) [2]. However, beta cell secretion eventually reaches a level
of decompensation in many of these subjects, leading to
clinically evident diabetes [1,2]. ISEC is composed of two
phases: the 1st phase (1st ISEC) and 2nd phase (2nd ISEC) [3,4].
Conceptually, the 1st ISEC consists of the stored insulin within
the granules of beta cells that is secreted within 10 min of an
acute elevation in plasma glucose levels. On the other hand,
the 2nd ISEC phase comprises the secretion of newly produced
insulin from the beta-cells, which reaches a plateau within
2–3 h [4].
Whether impaired SI or ISEC is the major contributor for
diabetes or whether both factors contribute equally remains
controversial. Using surrogate markers derived from an oral
glucose tolerance test (OGTT), IR has been found to be the
major factor determining the deterioration of plasma glucose
levels in Europeans while deterioration of ISEC was the
predominant factor in Asians [5–7]. The reasons behind these
contradictory findings have not been fully clarified. Addition-
ally, evidence suggests that the 2nd ISEC is maintained for a
longer period than the 1st ISEC during the natural progression
of diabetes. The remaining 2nd ISEC after the diagnosis of
diabetes may determine the time period of the oral hypogly-
cemic drugs, particularly the insulin secretagogues, can
effectively control glucose levels. Despite the important role
of the 2nd ISEC in the pathophysiology of diabetes, most
recent studies have only focused on the 1st ISEC [8].
In this study, we simultaneously measured SI, and the 1st
and 2nd ISECs in order to elucidate their respective roles in the
pathogenesis of diabetes among 96 Chinese subjects with
varying levels of glucose tolerance.
2. Materials and methods
2.1. Subjects
We enrolled 96 individuals between the ages of 40 and 70 years
who presented at our out-patient clinic in 2011. Subjects were
either self-referred or referred by health professionals for
purposes of screening for diabetes and had a body mass index
(BMI) between 20.0 kg/m2 and 30.0 kg/m2. Subjects were free of
any other significant medical diseases, had no history of
diabetes or diabetic ketoacidosis, nor had taken any medica-
tions known to influence SI and/or beta-cell function (includ-
ing oral hypoglycemic agents) during the study period.
Subjects were categorized into three groups according to
their fasting plasma glucose (FPG) as follows: normal fasting
plasma glucose (NFG; FPG < 5.6 mmol/l), pre-diabetes (PreDM;
5.6 � FPG < 7.0 mmol/l) and T2D (FPG � 7 mmol/l). These FPG
categories were based on the 2012 American Diabetes
Association (ADA) recommendation [9]. On the first day of
study, a complete routine work-up was performed to exclude
the presence of cardiovascular, endocrine, renal, hepatic and
respiratory disorders. The study protocol was approved by the
hospital’s institutional review board and ethics committee. All
subjects provided written informed consent prior to partici-
pation. BMI was calculated as body weight (kg)/height (m)2.
Systolic and diastolic blood pressures were measured on the
right arm with subjects seated using a standard mercury
sphygmomanometer. Blood samples were drawn from the
antecubital vein for biochemical analysis.
2.2. Patients and protocols
Each participant undertook 2 tests: the modified low dose
graded glucose infusion test (M-LDGGI) and the frequently
sampled intravenous glucose tolerance test (FSIGT). The two
tests were performed in random order, separated by a
minimum interval of three days. The tests were performed
at 8:00 am following a 10-h overnight fast with subjects in the
sitting position. An intravenous catheter was placed in each
forearm: one for blood sampling and one for glucose infusion.
The sampling catheters were kept patent through the slow
infusion of 0.9% saline.
2.2.1. FSIGTAfter the catheters were inserted, a bolus of 10% glucose water
(0.3 g/kg) was given. Twenty minutes later, a bolus of regular
human insulin (Novo Nordisk Pharmaceutical, Princeton) 0.05
units/kg was injected. Blood samples for plasma glucose and
insulin levels were collected at 0, 2, 4, 8, 19, 22, 30, 40, 50, 70, 100
and 180 min. Subsequently, the SI, and acute insulin response
after the glucose load (AIRg) were obtained using Bergman’s
Minimal Model [10]. AIRg was regarded as the 1st ISEC.
Subjects with higher SI and AIRg were considered to have
better glucose metabolism.
2.2.2. M-LDGGIThis test is a simplified version of the low dose graded glucose
infusion proposed by Polonsky [11], which we have used in a
previously published study [8,12]. On the day of the test,
catheters were placed as described above, and a stepped
intravenous infusion of glucose (20% dextrose) was started at a
rate of 2 mg/kg/min, followed by 6 mg/kg/min. Each infusion
rate was maintained for 80 min. Blood samples were drawn
every 20 min for the measurement of plasma insulin and
glucose levels. The results were graphed as the slope of change
of plasma insulin levels (y-axis) versus plasma glucose levels
(x-axis), essentially reflecting insulin secretion in response to a
certain level of plasma glucose. This slope was regarded as the
2nd ISEC.
2.2.3. Metabolic testsHomeostasis model assessment of insulin resistance (HOMA-
IR) and homeostasis model assessment of beta-cell function
(HOMA-B) were calculated according to Matthew’s equations
[13].
Blood samples were centrifuged immediately and stored
at �30 8C until the time of analysis. Plasma insulin was
measured by a commercial solid phase radioimmunoassay
kit (Coat-A-Count insulin kit, Diagnostic Products Corpora-
tion, Los Angeles, CA, USA). Intra- and inter-assay coefficients
Table 1 – The demographic data of the three groups.
Normal fasting plasma glucose Pre-diabetes Type 2 diabetes
n 19 21 56
Gender (M/F) 9/10 13/8 28/28
Age (years) 54.1 � 8.8 54.5 � 14.2 50.6 � 8.6
Body mass index (kg/m2) 26.3 � 3.2 24.6 � 2.9 24.9 � 2.9
Waist circumference (cm) 86.7 � 9.1 84.1 � 7.2 82.1 � 10.9
Systolic blood pressure (mmHg) 118.5 � 12.1 122.1 � 11.0 122.1 � 17.3
Diastolic blood pressure (mmHg) 74.8 � 7.7 75.9 � 9.3 76.6 � 10.9
Fasting plasma glucose (mmol/l) 4.8 � 0.4c 6.1 � 0.3c 10.3 � 3.0a,b
Total cholesterol (mmol/l) 4.4 � 0.8 4.4 � 0.6 4.4 � 1.0
HDL-cholesterol (mmol/l) 1.2 � 0.5 1.2 � 0.3 1.2 � 0.3
Triglyceride (mmol/l) 1.4 � 0.4 1.2 � 0.7 1.4 � 0.7
log (Fasting plasma insulin (mU/l)) 1.4 � 0.5 1.2 � 0.4 1.3 � 0.5
SI (�10�4 min�1 pmol�1 l�1) 2.1 � 1.2 2.6 � 1.7 1.8 � 1.5
log (1st ISEC (mU/min)) 2.0 � 0.6b,c 1.5 � 0.4a 1.1 � 0.5a
log (2nd ISEC) �0.74 � 0.06b,c �1.13 � 0.48a,c �1.48 � 0.49a,b
log HOMA-IR �0.2 � 0.5 �0.2 � 0.7 0.1 � 0.6
log HOMA-B 1.7 � 0.5b,c 1.2 � 0.7a,c 0.9 � 0.6a,b
SI: insulin sensitivity; 1st ISEC: first phase insulin secretion, the acute insulin response after glucose load derived from FSIGT; 2nd ISEC: second
phase insulin secretion, the slope of the changes of plasma insulin levels (y-axis) against the plasma glucose levels (x-axis) during the modified
low dose graded glucose infusion test; HOMA-IR: homeostasis model assessment of insulin resistance, HOMA-B: homeostasis model
assessment of beta-cell function. Data are expressed in mean � SD.a p < 0.05 against group 1.b p < 0.05 against group 2.c p < 0.05 against group 3.
Plasma gluc ose level ( mmol/l)
4 6 8 10 12 14 16 18 20
Pla
sm
a in
su
lin le
ve
l (p
mo
l/l)
0
50
100
150
200
250
300
Normal f asting plasma glucose
Pre-d iabetes
Type 2 diabetes
0'
20'
40'
60'
80'
100'
120'
140'
160'
0'
20'
40'
60'80 '100'
120'
140'
160'
0' 20'
40'
60'
80'
100'
120' 140'160'
Fig. 1 – Plasma glucose and insulin concentration at various
time points during a modified low dose graded glucose
infusion test in each group.
d i a b e t e s r e s e a r c h a n d c l i n i c a l p r a c t i c e 1 0 0 ( 2 0 1 3 ) 3 9 1 – 3 9 7 393
of variance for insulin were 3.3 and 2.5%, respectively. Plasma
glucose was measured via a glucose oxidase method (YSI 203
glucose analyzer, Scientific Division, Yellow Spring Instru-
ment Company Inc., Yellow Spring, OH, USA). Serum total
cholesterol (TC), triglyceride (TG), and high-density lipopro-
tein cholesterol (HDL-C) were measured by the dry, multilayer
analytical Slide method using the Fuju DR-Chem 3000
analyzer (Fuji Photo Film Corporation Minato-Ku Tokyo,
Japan).
2.3. Statistical analysis
Data are presented as mean � standard deviation. One-way
ANOVA tests were used to compare the demographic data,
clinical characteristics, and test parameters between the three
FPG groups. A Bonferoni test was used for post hoc examina-
tion. The distributions of HOMA-IR, HOMA-B, 1st ISEC, 2nd
ISEC, and fasting plasma insulin (FPI) were normalized using
log transformations. Correlations were evaluated by Pearson
correlation. All statistical tests were two-sided and a p
value < 0.05 was considered to be significant. Statistical
analysis was performed using SPSS 10.0 software for windows
(SPSS, Chicago, IL).
3. Results
The SI, 1st ISEC, 2nd ISEC, and other clinical characteristics of
the three groups are shown in Table 1. No significant
differences were observed in the demographic data among
the three groups. However, the NFG group had significantly
higher log1st and log 2nd ISECs and log HOMA-B levels than
the other two groups. Similarly, the PreDM group had a higher
log 2nd ISEC and log HOMA-B levels than those in the T2D
group. There was no significant difference between the three
groups in log FPI, SI, and Log HOMA-IR.
Fig. 1 depicts the changes in plasma insulin levels
against plasma glucose levels of the M-LDGGI. The slopes
of these lines represent the 2nd ISEC. Fig. 2 shows the
changes of mean plasma glucose and insulin levels during
the FSIGT.
Fig. 3 shows the correlations between FPG levels and SI,
log 1st ISEC, or log 2nd ISEC. Significant correlations
were observed between FPG and log 1st ISEC (r = �0.421,
p = 0.000, panel B), log 2nd ISEC (r = �0.552, p = 0.000, panel C),
but not SI (r = �0.181, p = 0.098, panel A). Since the units and
scales were different for each of these three lines, it was
difficult to compare their slopes, which represent the rate of
A
Fasting plas ma glu cose (mm ol/l)
2 4 6 8 10 12 14 16 18
Insu
linse
nsitiv
ity (
10
-4xm
in-1
xp
mo
l-1xl-1
)
0
2
4
6
8
r = -0.181, p=0 .098
B
C Fasting plasma gluco se (mmol /l)
2 4 6 8 10 12 14 16 18
Lo
g (
firs
t p
ha
se
in
su
lin s
ecre
tio
n (
U/m
in))
-0.5
0.0
0.5
1.0
1.5
2.0
2.5
3.0
r = -0.4 21, p = 0.0 00
υ
Fasti ng plas ma glucose (m mol /l)
2 4 6 8 10 12 14 16 18
Log (
second p
hase insulin
secre
tion)
-3.5
-3.0
-2.5
-2.0
-1.5
-1.0
-0.5
0.0r = - 0.552, p = 0.00 0
Fig. 3 – The relationship between fasting plasma glucose
level and either insulin sensitivity, first phase and second
phase insulin secretion.
A
B
Time (min)
0 20 40 60 80 10 0 12 0 14 0 16 0 18 0 20 0
Pla
sm
a g
luco
se
le
ve
l (m
mo
l/l)
2
4
6
8
10
12
14
16
18
20
22
24
Normal fasting pla sma glu cose
Pre- diabetes
Type 2 diabetes
Time (min)
0 20 40 60 80 10 0 12 0 14 0 16 0 18 0 20 0
Pla
sm
a insulin
level (p
mol/l)
0
500
1000
1500
2000
2500
Norma l fas ting p las ma glu cose
Pre-diabetes
Type 2 diabetes
Fig. 2 – Plasma glucose and insulin concentration at various
time points during a frequently sampled intravenous
glucose tolerance test in each group.
d i a b e t e s r e s e a r c h a n d c l i n i c a l p r a c t i c e 1 0 0 ( 2 0 1 3 ) 3 9 1 – 3 9 7394
deterioration of each parameter. In order to solve this
problem, rather than plotting each parameter against FPG
using the original units (e.g., mU/min for the 1st ISEC), we used
uniquely designed lines to compare the rate of deterioration.
Using the SI as an example, a regression equation was first
obtained from Fig. 3A (SI = 2.745 – 0.088 � FPG). The lowest
value of FPG (3.94 mmol/l) was entered into the equation and
the corresponding SI value (2.493 � 10�4 � min�1 pmol�1 l�1)
was obtained. This value was taken to represent the 100% SI
value. Next, the percentage of SI of the highest FPG
(1.363 � 10�4 � min�1 pmol�1 l�1, 15.71 mmol/l, respectively)
was calculated against the 100% SI value, which was 54%.
Then, a line of SI changes according to different FPG levels was
drawn from the 100% of the lowest FPG to the 54% of the
highest FPG (Fig. 4). Similar methods were repeated for
evaluating the relationship between FPG and the 1st and 2nd
ISECs so that the changes of data across the same range of FPG
could be more readily compared. Fig. 4 clearly shows that as
the glucose levels increased, the SI decreased but did not
reach a significant difference, meanwhile both the 1st and
2nd ISECs reduced dramatically. Furthermore, the percent
decrease of the 1st ISEC from baseline was greater than that of
the 2nd ISEC.
4. Discussion
T2D has two major defects: decreased SI, or conversely IR, and
decreased ISEC. When IR first emerges, euglycemia can be
maintained by a compensatory increase in ISEC by the beta-
cell. However, as the disease progresses, the beta-cell becomes
gradually exhausted. Finally, decompensation ensues and
clinically evident T2D develops. There is a variable period of
Fasting plasma glucose (mmol/ l)
2 4 6 8 10 12 14 16 18
De
cre
ase
fro
m b
ase
line
(%
)
-60
-40
-20
0
20
40
60
80
100
120
Insulin sensitivity
Second pha se o f insulin se cretion
First pha se o f insulin se cretion
Fig. 4 – A comparison of decreasing SI, first phase and
second phase insulin secretion from baseline according to
plasma glucose levels.
d i a b e t e s r e s e a r c h a n d c l i n i c a l p r a c t i c e 1 0 0 ( 2 0 1 3 ) 3 9 1 – 3 9 7 395
time between the diagnosis of T2D and the need for insulin
therapy. Oral hypoglycemic agents, mainly insulin secretago-
gues, can effectively control blood glucose within an accept-
able range during this time due to an intact 2nd ISEC. Despite
the importance of the 2nd ISEC in the pathophysiology of T2D,
most studies have only focused on 1st ISEC. The limited
information on 2nd ISEC may be related to the fact that this
phase is more difficult to measure.
The study of van Haeften et al. was the first to shed light on
the changes of 1st and 2nd ISECs as well as SI in subjects with
different stages of glucose metabolism [14]. Although these
authors used the sophisticated hyperglycemic clamp tech-
nique, they merely compared these three parameters
between different groups of subjects, rather than directly
exploring their relationships. In our study, two novel
methods were used to further investigate this issue. First,
as illustrated in Fig. 3, correlation analyses were performed
between FPG and the other three parameters. Thus, we were
able to study the independent changes in ISEC and SI
associated with FPG increases. Secondly, the relative reduc-
tions in ISEC and SI from lowest to the highest FPG were
plotted in Fig. 4, which allowed us to further compare the
relative slopes between the three lines. Thus, we believe our
results further the understanding of the natural course of
diabetes pathogenesis.
Other studies have also focused on the relative importance
of ISEC and SI in the progression of T2D, but generally only
consider the 1st ISEC. For instance, Fukushima et al. and Kim
et al. suggested that the defect in ISEC may be more important
than IR in the development of T2D among Japanese and
Korean subjects, respectively [5,6]. In contrast, earlier studies
from Western countries demonstrated equivocal findings.
Two of these studies showed that SI deteriorated more than
did ISEC as subjects progressed from normal glucose tolerance
(NGT) to T2D [7,15]. Conversely, the opposite was reported in
studies by Mari et al. and van Haeften et al. [14,16]. These
conflict findings between studies may be attributed to many
factors, including different races, genetic backgrounds, study
designs, methods and even different grouping criteria [7,14–
16]. Although van Haeften et al. and Mari et al. made similar
conclusions to ours, the findings concerning the role of SI were
different. In both of these studies, SI was found to decline
significantly as FPG increased. However, as illustrated in Fig. 4,
this was not observed in the current study. These divergent
results are not completely surprising given that the clinical
backgrounds between Caucasians and Asians are different
[17,18]. For instance, Asians are more insulin resistant and at
higher risk of development of T2D at a lower BMI by
comparison with Caucasians [17,18].
Whether our data could be extrapolated to other ethnic
group is an important question. Based on the above
discussion, it appears that the relative decrease in SI is
lower among Asians than Caucasians. On the other hand, all
the studies unanimously illustrate that the 1st ISEC
disappears early in the natural course of T2D, regardless
of race. Finally, very few studies have evaluated the 2nd
ISEC. The purpose of our study was to compare the
contribution of deteriorations in SI, and 1st and 2nd ISECs
to the progression of T2D. Due to the inconsistent results
pertaining to SI, we suggest that caution should be exercised
when our results are being generalized to other ethnic
groups. Further studies with a larger cohort and longer
observational time are necessary.
Although important, the role of the 2nd ISEC in the
development of T2D is not only rarely studied but also
controversial. After adjusting for age and BMI, van Haeften
et al. observed a marked decrease of both phases of ISEC from
NFG to PreDM, but no further decline from PreDM to T2D [14].
Furthermore, the same authors noted that the 1st ISEC
deteriorated more severely than the 2nd ISEC in the progres-
sion from NFG to T2D [14]. In agreement with their findings, we
also found that 1st ISEC decreased more dramatically than the
2nd ISEC as glucose levels increased (Fig. 4). However, contrary
to their study, we found a significant decline of 2nd ISEC when
progressing from PreDM to T2D. Although this minor diver-
gence might be due to the aforementioned confounding
factors such as race, other factors might also play a role.
First, our study divided subjects into three groups according to
2012 ADA criteria [9] while van Haeften et al. stratified their
subjects according to 1997 ADA classification, including NFG
as an FPG � 6.1 mmol/l [19]. Second, subjects in our T2D group
had higher average FPG levels than did T2D subjects in van
Haeften’s study (10.3 mmol/l versus 6.6 mmol/l, respectively).
The wider range of FPG indicates more severe deterioration of
beta-cell function in our T2D subjects. Hence, a greater decline
of 2nd ISEC in our study is to be expected. On the other hand, if
the SI did not change even in this much wider range of FPG, the
less important role of deteriorating SI is further confirmed.
Thirdly, it is well-documented that higher BMI is associated
with increased beta-cell function [20]. Subjects in the study by
van Haeften et al. had higher average BMIs than those in our
study (26.7 kg/m2 versus 24.9 kg/m2), which suggests that the
former group may have had better beta-cell reserve to prevent
further loss of the 2nd ISEC.
Our data show that SI does not decrease during the course
of developing T2D. However, this finding does not imply that SI
has a less important role. On the contrary, IR is the most
important factor responsible for the initiation of glucose
intolerance. Without IR, decompensation of the beta-cell
would not occur. Interestingly, evidence suggests that IR is
d i a b e t e s r e s e a r c h a n d c l i n i c a l p r a c t i c e 1 0 0 ( 2 0 1 3 ) 3 9 1 – 3 9 7396
more severe in healthy Asians than in Caucasians, which
confirms that it is still an important determinant of T2D
pathogenesis [17,21]. In addition to IR, both phases of ISEC also
differ between ethnic groups [21]. For instance, Torrens et al.
observed that the ability of beta cells to compensate for IR is
more pronounced in Africans than in Chinese [17]. The
combined effect of a higher IR and lower beta cell response
could partially explain the greater deterioration of beta cell
function than SI during T2D development in Chinese subjects.
However, the physiological basis of this hypothesis requires
verification.
A major strength of the present study is the simultaneous
measurement of both the 1st and 2nd ISECs. Moreover, we
evaluated the relationship between FPG levels and three
components associated with T2D pathogenesis (SI, 1st ISEC,
and 2nd ISEC). Thus, we were able to separately observe the
changes in beta cell function and IR with increasing
hyperglycemia as well as compare these changes using
the same scale. Nevertheless, the current study has a
number of limitations that must be mentioned. First, body
fat content and distribution, and plasma free fatty acid
levels, which are known to be associated with SI and beta-
cell function, were not measured in this study [22]. However,
evidence has shown that the correlation between waist
circumference and SI might even be stronger than the
relationship between intra-abdominal fat and SI (r = �0.63,
p = 0.003 versus r = �0.59, p = 0.006) [23]. Han et al. also
demonstrated that waist circumference could explain 77.8%
variance of intra-abdominal fat [24]. Secondly, since an
OGTT was not performed, post-challenge plasma glucose
levels were not available for these patients. Thus, the
relationships between post-challenge plasma glucose levels
and either SI, or both phases of ISEC were not assessed.
Further investigations focusing on these relationships could
help define the precise role of SI and beta cell function in T2D
pathogenesis.
Since the 1st ISEC decreased most drastically with
increasing FPG levels, it can be concluded that the 1st ISEC
is the key trigger of T2D development. On the contrary, the 2nd
ISEC remained more stable regardless of FPG level. This latter
finding may explain the effectiveness of insulin secretagogues
in managing the early stage of T2D. The results of this study
can be helpful in the development of interventions aimed at
stopping the progression and/or treating T2D in Chinese
populations.
Funding
None.
Authors contributions
Hsieh Chang-Hsun analysed the data. Lin Jiunn-Diann wrote
the manuscript. Wu Chung-Ze and Chen Yen-Lin reviewed
and edited the manuscript. Pei Dee contributed to the
discussion and edited the manuscript. Hsu Chun-Hsien,
Chang Jin-Biou and Liang Yao-Jen helped with data analysis
and contributed to the discussion.
Conflict of interest
The authors declare that they have no conflict of interest.
Acknowledgements
The authors thank all subjects who participated in the study.
r e f e r e n c e s
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