Marziyeh Feyzi1,2, Mohammad Reza Tabandeh3,4, Mehrdad Shariati5, Mohammad Amin Edalatmanesh6. 1. Department of Biology, Fars Science and Research Branch, Islamic Azad University, Fars, Iran. 2. Department of Biology, Shiraz Branch, Islamic Azad University, Shiraz, Iran. 3. Department of Basic Sciences, Division of Biochemistry and Molecular Biology, Faculty of Veterinary Medicine, Shahid Chamran University of Ahvaz, Ahvaz, Iran. Electronic Address: m.tabandeh@scu.ac.ir. 4. Stem Cells and Transgenic Technology Research Center, Shahid Chamran University of Ahvaz, Ahvaz, Iran. 5. Department of Biology, Kazerun Branch, Islamic Azad University, Kazerun, Iran. 6. Department of Biology, College of Sciences, Shiraz Branch, Islamic Azad University, Shiraz, Iran.
Aging is an important risk factor for metabolic disorders, including obesity, impaired
glucose tolerance and type 2 diabetes (T2D). T2D has been estimated to be increased
monotonically with age, both in animal and human (1, 2). Age associated glucose intolerance,
insulin resistance and T2D may result other age related diseases such as cancer, stroke,
cardiovascular diseases, Parkinson’s disease and Alzheimer’s disease (3). The
pathophysiologic mechanisms underlying age-induced glucose intolerance remain incompletely
understood. Because insulin is the main regulator of glucose homeostasis, peripheral insulin
resistance, impaired insulin secretion from β-cells and unusual insulin clearance are
considered as the major age-related complications in old rodents as well as humans (4).
Pancreatic β-cell mass is another factor affecting development of insulin resistance in old
animals and human. Proliferation, apoptosis of β-cells and islet neogenesis are three major
factors that tightly regulate β-cell mass (5). It has been shown that age correlates with
decreased proliferative activity and enhanced sensitivity to glucose-induced β-cell
apoptosis (6). Recent finding has demonstrated that in old Wistar rats increasing glucose
concentration induced a higher level of cell death and lower level of β-cell proliferation
in relation with those in young animals (7).New findings suggest the close relationship between adipose tissue dysfunction and
endocrine pancreatic health. Adipose tissue is now recognized to be an important endocrine
organ that secretes biologically active compounds, known as adipokines (8, 9). Despite the
ever-expanding list of adipokines, which now accounts for over 300 secretory products, few
have been studied on their roles in β-cell function (10).Adiponectin, as a 30 kDa secretory protein, was one of the earlier adipokines identified in
rodents and human (11, 12). Adiponectin circulate primarily as a multimeric (trimeric,
hexameric and high molecular weight) polypeptide and is locally proteolytically cleaved to a
globular (trimeric) form in which the collagen-like amino-terminal domain is released (12).
Adiponectin has antidiabetic properties and its circulating concentrations are reduced in
patients with visceral obesity, insulin resistance and T2D (9, 13, 14). Adiponectin performs
its physiological effects mainly via AdipoR1 and AdipoR2 receptors. Scatcherd plot analysis
revealed that AdipoR1 is a receptor for globular Adiponectin, whereas AdipoR2 is a receptor
for full-length Adiponectin. AdipoR1 is abundantly expressed in muscle,
while AdipoR2 is predominantly expressed in liver (13, 14). Adiponectin
-AdipoRs interaction results in activation of different signaling pathways such as AMPK,
peroxisome proliferator-activated receptors (PPARs) and p38 MAPK (15).Recent findings have shown that Adiponectin and its two receptors are
expressed in β-cells and they have substantial roles in viability and insulin secretion
potency of β-cells (15-17). Both AdipoR1 and AdipoR2 are
expressed in rodent pancreatic beta-cells, while the levels of AdipoR1 mRNA
being expressed at a higher level than AdipoR2 (16, 17). It has been found
that Adiponectin can reverse high glucose induced β-cell impairment and apoptosis in INS-1
clonal rat cells (18). Both globular and truncated Adiponectin (gADN and ADN15-36) stimulate
expression of the genes related to function of β-cell including insulin and pancreatic and
duodenal homeobox 1 (PDX1) gene (mRNA) and they increase viability of
β-cells (19). Adiponectin gene overexpression or ablation in mice has
demonstrated that it can protect β-cell against caspase-8-mediated apoptosis (20).It is clear that Adiponectin have substantial effects on both function and survival of
β-cells. This raises the question of whether Adiponectin and its two
receptors are changed in aging process of pancreatic beta cells and whether this in turn
contributes to the age-related change in insulin sensitivity and glucose stimulated insulin
secretion (GSIS), in vivo. Therefore, the aim of current study was to
define relative expression of Adiponectin, AdipoR1 and
AdipoR2 in the pancreas and their association with insulin resistance
markers in aging process of normal rats.
Materials and Methods
Experimental animals
In this experimental study, male Sprague-Dawley rats at different ages were obtained from
animal house of faculty of veterinary medicine, Shahid Chamran university of Ahavz (Iran).
All rats were housed four per cage in the standard polycarbonate cages with hardwood chip
bedding in the Clean Animal Room and they were allowed free access to food and water. They
were housed at 22-24˚C and relative humidity of 60% in 12 hours light/dark cycles, with
regular ventilation. All experimental protocols were approved by the Ethics Committee of
Shahid Chamran University of Ahvaz for animal and human experiments. All the recruited
animals were cared according to the guideline for the care and use of laboratory animals
by the national academy of sciences (National Institutes of Health publication No.
86-23).
Sampling
Animals were sacrificed at different ages including; 2 (immature group, n=10), 5 (puberty
group, n=10), 10 (puberty group, n=10), 18 (young adult group, n=10), 52 (aged group,
n=10) and 72 (aged group, n=10) weeks of age. These numbers were based on natural
development of pancreas and life cycle curve of rats, as described previously (21). Half
of animals in each age group (n=5) were fasted for 12 hours before sampling and scarified
by decapitation under anesthesia using combination of ketamine and xylazine (100 mg/kg of
ketamine and 10 mg/kg of xylazine). Blood sample was collected and serum was harvested
following centrifugation for 5 minutes at 5000 × g and they were next stored at -20˚C
until analysis for hormones and metabolites. Pancreas were removed and kept at -80°C until
use. The weight of animals was recorded before scarification.
Oral glucose tolerance test
Oral glucose tolerance test (OGTT) was performed in half of the animals presented in each
age group (n=5). After 12 hours fasting, a 20% glucose solution (2 g/kg body weight) was
administered to the rats via a polyethylene gastric tube. Blood glucose was measured by
tail prick 15, 30, 90 and 120 minutes using hand-held glucometer (EasyGluco, China) (22).
At the end of experiment (120 minutes after glucose administration) blood samples were
obtained by heart puncture and serum was separated for determination of insulin
concentration. Serum was harvested following the centrifugation for 5 minutes at 5000 × g
and it was stored at -20˚C until analysis for hormones and metabolites.
Homeostatic model assessment of insulin resistance
estimation
The homeostasis model assessment of basal insulin resistance (HOMA-IR) was calculated
based on fasting concentrations of plasma glucose (mmol/l) and plasma insulin (μU/ml) as
described previously. Lower HOMAIR values indicated greater insulin sensitivity, whereas
higher HOMA-IR values indicated lower insulin sensitivity (insulin resistance) (23).
Biochemical assay
Adiponectin concentration was measured in serum by
using rat ELISA kit (EastBiopharm Co Ltd, China). The
intra- and inter-assay coefficients of variation were 3.6
and 7.4%, respectively. Insulin concentration in serum
was determined with a commercially available ELISA
kit (Mercodia, Sweden). The intra- and inter-assay
coefficients of variation were 6.1 and 8.5%, respectively.
Serum glucose concentration was determined using a
commercial kit through enzymatic colorimetry assay
(Pars Azmoon Co, Iran).
RNA extraction and cDNA synthesis
Total RNA was isolated from approximately 50 mg pancreas using RNXplus Kit
(Sinaclon Inc, Iran) according to manufacturer’s protocol. The yield of extracted RNA was
determined spectrophotometrically by measuring the optical density at 260 nm using
Eppendorf μCuvette G1.0 microvolume measuring cell (Eppendorf, Germany). The purity and
quality of extracted RNA were evaluated using measurement of optical density ratio at
260/280 nm. RNA samples with a ratio more than 1.8 were used for quantitative reverse
transcription polymerase chain reaction (qRT-PCR) experiments. For each sample, 0.5 μg of
total RNA was reverse transcribed by YTA cDNA synthesis kit using random primers as
described by the manufacturer (Yektatajhiz, Iran).
qRT-PCR was carried out on a Lightcycler Detection System (Roche, USA) using
qPCRTM Green Master Kit for SYBR Green I® according to the
manufacturer’s recommendation (Yektatajhiz, Iran). Reactions were carried out in a 12.5 μl
total volume containing 6.25 μl qPCRTM Green Master Kit for SYBR Green
I® (Yektatajhiz, Iran), 0.25 μl of each primer (200 nM), 3 μl cDNA (100 ng)
and 2.25 μl nuclease-free water. The following specific primers were used for:Adiponectin-F: 5´-AATCCTGCCCAGTCATGAAG-3´R: 5´-CATCTCCTGGGTCACCCTTA-3´, (GeneBank
Accession No: NM_144744),Adiponectin Receptor 1 (AdipoR1)-F: 5´-CTTCTACTGCTCCCCACGGC-3´R: 5´-TCCCAGGAACACTCCTGCTC-3´, (GeneBank
Accession No: XM_006249852.3),Adiponectin Receptor 2 (AdipoR2)-F: 5´-CCACACAACACAAGAATCCG-3´R:5´-CCCTTCTTCTTGGGAGAATGG-3´, (GeneBank
Accession No: 006237183.2)GAPDH-F: 5´-AGTTCAACGGCACAGTCAAG-3´R: 5´-TACTCAGCACCAGCATCACC-3´. (Takapouzist,
Iran).PCR protocol was consisted of 5 minutes denaturation at 94°C followed by 45 cycles of
94˚C for 15 seconds and 60˚C for 30 seconds. Two separate reactions without cDNA or with
RNA were performed in parallel as controls. Gene expression level of each sample was
standardized to the house-keeping gene, GAPDH (GenBank: NM-017008) using
the ∆∆Ct method. The relative gene expression levels were determined using the comparative
threshold cycle (2-∆∆Ct) method and Lightcycler 96® software. Primer
amplification efficiency of the individual genes was performed as previously described
(24). All qRT PCR analysis was performed according to The Minimum Information for
Publication of Quantitative Real-Time PCR Experiments (MIQE) guideline (25).
Statistical analysis
All data were expressed as means ± standard error of
mean (SEM) and analyzed with SPSS software, version
18.0 (IBM SPSS Inc, USA). One way analysis of variance
(ANOVA) and Tukey post hoc test were applied for
multiple comparisons between groups. A value of P<0.05
was considered statistically significant.
Results
Age related changes of weight, insulin and glucose
concentrations
As shown in Figure 1, body weight was increased steadily between 5 and 72 weeks of age.
Thus, it reached the maximal level at 72 weeks of age (P=0.024). As demonstrated in Figure
2A, glucose concentration had the minimum value in the rats with 2 weeks of age
(P<0.05), while it increased in an age dependent manner. Glucose concentration
showed constant level in the 5, 10 and 18 weeks old rats and it reached the maximum level
in advanced age groups (52-72 weeks of age, P<0.05, Fig .2A). Additionally, changes
in serum insulin levels of the rats through aging process have been shown in Figure 2B.
Serum insulin concentration showed constant level in the rats with 5, 10 and 18 weeks of
age, while it reached the maximum level in 52 weeks age group (P<0.05, Fig .2B). The
median insulin level was decreased with advancing age in 72 weeks old group
(P<0.05, Fig .2B) .Our results showed no change in HOMA-IR of
different age groups (2-18 weeks of age, Fig .2C), while it was increased in an age
dependent manner in the 52 and 72 weeks old rats (P<0.05, Fig .2C). The highest
level of HOMA-IR was determined in the 52 weeks old rats (P<0.05, Fig .2C).
Fig.1
Age-related changes in the body weight of immature (2 weeks old),
puberty (5 and 10 weeks old), young adult (18 weeks old) and aged (52 and
72 years old) healthy rats. Data represent means ± SEM for 5 animals in
each age group. Comparisons between the groups labeled with different
marks were statistically significant (P<0.05).
Fig.2
The mean ± SEM for biochemical parameters related to insulin sensivity. A. Fasting
serum glucose, B. Insulin, and C. Homeostatic model
assessment of insulin resistance (HOMA-IR) values that were examined in immature (2
weeks old), puberty (5 and 10 weeks old), young adult (18 weeks old), and aged (52 and
72 years old) healthy rats. Data was collected from five animals in each age group.
Comparisons between the groups labeled with different letters were statistically
significant (P<0.05).
Age-related changes in the body weight of immature (2 weeks old),
puberty (5 and 10 weeks old), young adult (18 weeks old) and aged (52 and
72 years old) healthy rats. Data represent means ± SEM for 5 animals in
each age group. Comparisons between the groups labeled with different
marks were statistically significant (P<0.05).The mean ± SEM for biochemical parameters related to insulin sensivity. A. Fasting
serum glucose, B. Insulin, and C. Homeostatic model
assessment of insulin resistance (HOMA-IR) values that were examined in immature (2
weeks old), puberty (5 and 10 weeks old), young adult (18 weeks old), and aged (52 and
72 years old) healthy rats. Data was collected from five animals in each age group.
Comparisons between the groups labeled with different letters were statistically
significant (P<0.05).
Effect of aging on oral glucose tolerance test and
glucose stimulated insulin secretion
Figure 3A shows levels of the blood glucose before
and after (15, 30, 90, 120 minutes) glucose load during
oral glucose tolerance test. As expected, oral glucose
administration resulted in an immediate increase in the
blood glucose level, which peaked at 15 minutes and
then gradually returned to baseline over the following
30 minutes, in young animals. It was found that glucose
concentration returned to normal value 30 minutes after
OGTT in rats younger than 18 weeks of age, while the 52 and 72 weeks old age groups were increased glucose
concentration at the end of OGTT (Fig .3A).
Fig.3
Results of oral glucose tolerance test (OGTT) and glucose stimulated insulin secretion test
(GSIS) during aging of rats. A. Blood glucose values during the OGTT.
Data was collected before and 15, 30, 60, 120 minutes after oral administration of 20%
glucose solution in healthy rats with different ages, between 2-72 weeks old.
B. Blood insulin concentration during the glucose stimulated insulin
secretion test (GSIS). Insulin concentration was examined before and 120 minutes after
oral administration of 20% glucose solution in healthy rats with different ages,
between 2-72 weeks old. Data was collected from five animals in each age group.
Comparisons between the groups labeled with different marks were statistically
significant (P<0.05).
Results verified that 120 minutes after glucose
ingestion, blood insulin concentration of the aged
groups (52 and 72 weeks old) tended to be higher than
those of the younger rats. In the animals with 2, 5, 10
and 18 weeks of age, insulin level returned to fasting
level, 2 hours after glucose load. While in the 52 and
72 weeks old rats, insulin concentration was remained
high until the end of experiment (P<0.05, Fig .3B).Results of oral glucose tolerance test (OGTT) and glucose stimulated insulin secretion test
(GSIS) during aging of rats. A. Blood glucose values during the OGTT.
Data was collected before and 15, 30, 60, 120 minutes after oral administration of 20%
glucose solution in healthy rats with different ages, between 2-72 weeks old.
B. Blood insulin concentration during the glucose stimulated insulin
secretion test (GSIS). Insulin concentration was examined before and 120 minutes after
oral administration of 20% glucose solution in healthy rats with different ages,
between 2-72 weeks old. Data was collected from five animals in each age group.
Comparisons between the groups labeled with different marks were statistically
significant (P<0.05).
Alteration of serum Adiponectin level during aging
Our results showed no significant difference in serum
Adiponectin concentration detected in the rats with age
of 2, 5, 10 and 18 weeks (P>0.05), while it was gradually
decreased in old rats with 52-72 weeks of age (P<0.05,
Fig .4).
Fig.4
Age-related changes in serum Adiponectin concentration of
immature (2 weeks old), puberty (5 and 10 weeks old), young adult (18
weeks old), and aged (52 and 72 years old) healthy rats. Data represent
means ± SEM for five animals in each age group. Comparisons between
the groups labeled with different marks were statistically significant
(P<0.05).
Age-related changes in serum Adiponectin concentration of
immature (2 weeks old), puberty (5 and 10 weeks old), young adult (18
weeks old), and aged (52 and 72 years old) healthy rats. Data represent
means ± SEM for five animals in each age group. Comparisons between
the groups labeled with different marks were statistically significant
(P<0.05).
Age related changes in expression of Adiponectin and its two
receptors in pancrease
An age dependent increase was observed in pancreatic expression of
Adiponectin in the rats with ages of 2, 5, 10 and 18 weeks
(P<0.05, Fig .5A). Adiponectin mRNA levels were decreased in the
aged rat groups (72 weeks old group) exhibiting the lowest transcription level
(P<0.05, Fig .5A). As illustrated in Figure 5B, expression of
AdipoR1 gene in rat aged between 5 and 10 weeks was constant, while it
showed significant upregulation at 18 and 52 weeks of age (P<0.05).
AdipoR1 transcription was reduced to the minimum level in the 72 weeks
old group (P<0.05). Figure 5C shows the expression levels of
AdipoR2 in pancreas of rats with different ages. It was found that the
rats between 2 and 10 weeks of age had similar AdipoR2 transcription
level. AdipoR2 mRNA level was significantly higher in the 18 and 52 weeks
old rats compared to younger animals (P<0.05). AdipoR2 expression
was significantly reduced to the minimum level in the 72 weeks old rats (P<0.05,
Fig .5C).
Fig.5
Relative expedition of Adiponectin and it’s to receptors in pancreas of rats at
different ages. mRNA levels of A.
Adiponectin, B.
AdipoRI and C. AdipoRII in pancrease of
immature (2 weeks old), puberty (5 and 10 weeks old), young adult (18 weeks old) and
aged (52 and 72 years old) healthy rats. Data represent means ± SEM for five animals
in each age group. Comparisons between the groups labeled with different marks were
statistically significant (P<0.05).
Relative expedition of Adiponectin and it’s to receptors in pancreas of rats at
different ages. mRNA levels of A.
Adiponectin, B.
AdipoRI and C. AdipoRII in pancrease of
immature (2 weeks old), puberty (5 and 10 weeks old), young adult (18 weeks old) and
aged (52 and 72 years old) healthy rats. Data represent means ± SEM for five animals
in each age group. Comparisons between the groups labeled with different marks were
statistically significant (P<0.05).
Discussion
Normal aging is usually associated with progressive β-ell dysfunction that may be
responsible for serious disturbances of physiological homeostasis, particularly, glucose
tolerance (2, 4, 5). Recently, there has been increasing evidences that Adiponectin, one of
the most abundant circulating adipokines, is involved in the regulation of pancreatic β-cell
function (10, 14-16). Although expression and function of Adiponectin have been studied in
β-cells, little data are available regarding the effect of aging on the expression of
Adiponectin system genes in pancreas among the aging process. The current
study analyzed pancreatic expression of Adiponectin, its two receptors and
several metabolic markers related to glucose tolerance in normal aging process of rat.In agreement with the previous studies in both rodents and humans, our results showed that
ageing can change anthropometric characteristics and insulin resistance features, such as
increasing body weight, serum glucose concentration and HOMA-IR (22, 23). The results of the
OGTT and GSIS at 2, 5, 10, 18, 52 and 72 weeks of age of rats demonstrated that glucose
tolerance and insulin sensitivity were affected in old animals. Our results showed that,
beginning of aging in 52 weeks old animals was associated with marked elevation of serum
insulin and glucose levels, while in the advanced age group (72 weeks old animals) insulin
level was decreased to the minimum level. Increase in serum insulin levels at the beginning
of aging was not in accordance with our assumptions. These changes may be described by the
recently coined term "glucose allostasis" theory indicating that the slightly higher glucose
levels in insulin-resistant states drive the β-cells to produce higher levels of insulin
(26). Glucose allostasis may be a compensatory mechanism can regulate normal glucose
metabolism during insulin resistance. Moreover, recent researches have shown that
hyperinsulinemia along with moderate hyperglycemia are the first events in developing
insulin resistance in human and experimental animals. In accordance with our observation,
Marban and coworkers showed that mice, stably transfected with extra
copies of the human insulin gene, elevated basal plasma insulin level despite the normal
weight and fasting glucose, but they display elevated postprandial glucose and diminished
insulin tolerance test (27). Taken together we concluded that the onset of aging is
associated with hyperinsulinemia, moderate hyperglycemia and diminished GGT, while advanced
aging is accomplished with reduction of insulin production along with elevated glucose
concentration.Our results showed reduction of serum Adiponectin in the aged rats. In accordance with our
findings, Li et al. (28) showed that plasma Adiponectin levels and visceral fat ratio in the
24months old mice were lower compared to the 2 and 6months old mice. Mori et al. (29) has
also shown that circulating Adiponectin level were remarkably lower in dogs aged 8-12 years
than dogs aged 0-7 years. Reduction of plasma Adiponectin concentration in early phases of
obesity and in parallel to the progressive development of insulin resistance has been
reported in obese and diabetic rhesus monkey (30). Prospective studies in Pima Indians
demonstrated that high concentrations of Adiponectin were protective against the development
of T2D (31). Furthermore, circulating plasma Adiponectin levels and expressions of both
AdipoRs are reduced in the subjects with a family history of T2D (32).
Based on the incidence of insulin resistance in aged rats and previous data, it was
concluded that circulating Adiponectin level was reduced with age, indicating that
Adiponectin probably played an important role in aging-related diseases, such as insulin
resistance. To support this hypothesis, Yamauchi et al. (33) showed that administration of
Adiponectin can lead to improvement of insulin sensitivity, glucose tolerance and correction
obesity-related hyperglycemia.Our results showed that Adiponectin and AdipoR2
expression were down-regulated in pancreas of old animals with 72 weeks of age, while
AdipoR1 expression was increased in the advanced age. Recent findings
have clarified that Adiponectin and Adiponectin signaling is important regulators of β-cell
function and defects in the expression/secretion of Adiponectin or its
receptors in pancreas of the old rats may be a contributory factor to β-cell dysfunction.
This could diminish insulin secretion during the aging process. Recently Okamoto et al. (34)
has shown that Adiponectin stimulates insulin secretion from pancreatic islets, confirming
that down-regulation of Adiponectin in pancreas of the old rats may affect
insulin expression or secretion among the aging process. Molecular reason
for observing opposite pattern of expression of AdipoR1 and
AdipoR2 in pancreas of the aged animals is unknown.
AdipoR1 act as a major receptor of Adiponectin in pancreas, regarding the
level of AdipoR1 mRNA expressed at a higher level than
AdipoR2 in pancreas (16, 17). Increased AdipoR1
expression in pancreas of the aged rats may act as a compensatory mechanism to restore the
Adiponectin signaling and sensitize the pancreatic cells to the
Adiponectin, when its expression or secretion is reduced. Further investigations are needed
to give a better insight into the molecular mechanisms of Adiponectin receptors
transcription in the aged animals.Several researchers shifted the focus of their interest on the effect of aging on biology
of islet, with particular attention to the proliferative capacity and apoptosis of β-cells.
Adiponectin is a candidate molecule because it is a positive regulator of pancreatic β mass.
In line with these observations, findings have shown that Adiponectin activates Erk and Akt
in clonal β-cells, increases their proliferative activity and regulates their cell cycle
(15). It has been found that in INS-1 clonal β-cells, Adiponectin can protect against
palmitate or ceramide induced apoptosis (35). Furthermore Adiponectin gene
overexpression in mice can attenuate caspase-8 mediated apoptosis in β-cells (36). Recently,
transcriptome analysis revealed that Adiponectin can boost β-cells regeneration by improving
pancreatic islet lipid metabolism and this antilipotoxic effect are attributed to
up-regulation of two key transcription factors, including hepatocyte nuclear factor 4 (HNF4)
and peroxisome proliferator activated receptor α (PPARα) (35). These data suggest that
Adiponectin can maintain a normoglycaemic environment in pancreatic islet in the face of
decreases in insulin sensitivity. This could be performed preservation of the β-cell mass
and diminishing Adiponectin expression or its signaling pathway. These
alterations may have important physiological role in progressing β-cell dysfunction and
decreasing insulin secretion in the old animals.One of the major finding of our study was the increased expression of pancreatic
AdipoR1 in the aged rats, despite up-regulation of
Adiponectin and AdipoR1. It remains unclear whether an
increase in AdipoR1 expression of the pancreas with age is a positive
feedback regulation induced by decreased Adiponectin expression, or the
compensatory mechanism for improvement of Adiponectin action in pancrease, which deserves
further investigation.
Conclusion
Circulating Adiponectin as well as the pancreatic expression of
Adiponectin and AdipoR1 reduced with age, which is
accompanied by the increased insulin resistance markers in old rats. Because Adiponectin and
Adiponectin signaling have crucial role in β-cell function and viability, we concluded that
reduction of Adiponectin signaling may be involved in aging induced β-cell dysfunction and
related metabolic complications, in old animals or humans. Given the findings of our study
direct activation of the Adiponectin receptors, via small molecule
agonists, may be used in future for modulation of Adiponectin system and improvement of
β-cell function in the aged people.
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