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Journal Identification = PEP Article Identification = 68370 Date: July 8, 2011 Time: 3:14 pm
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Peptides 32 (2011) 1384–1391
Contents lists available at ScienceDirect
Peptides
j our na l ho me p age : www.elsev ier .com/ locate /pept ides
yperleptinemia in obese adolescents deregulates neuropeptides duringeight loss
na R. Dâmasoa,b,∗, Aline de Pianoc, Priscila L. Sanchesc, Flávia Corgosinhoc, Lian Tockc,ila M. Oyamad, Luciana Tocke, Claudia M. Oller do Nascimentod, Sérgio Tufikf,arco Túlio de Mello f
Biosciences Department, Federal University of São Paulo – Paulista Medicine School – UNIFESP-EPM, São Paulo, BrazilPost Graduate Program of Interdisiciplinary Health Sciences, Federal University of São Paulo – Paulista Medicine School – UNIFESP-EPM, São Paulo, BrazilPost Graduate Program of Nutrition, Federal University of São Paulo – Paulista Medicine School – UNIFESP-EPM, São Paulo, BrazilPhysiology Department, Federal University of São Paulo – Paulista Medicine School – UNIFESP-EPM, São Paulo, BrazilEndocrinology Department, Federal University of São Paulo – Paulista Medicine School – UNIFESP-EPM, São Paulo, BrazilPsychobiology Department, Federal University of São Paulo – Paulista Medicine School – UNIFESP-EPM, São Paulo, Brazil
r t i c l e i n f o
rticle history:eceived 15 March 2011eceived in revised form 28 April 2011ccepted 28 April 2011vailable online 6 May 2011
eywords:eptinbesityeuropeptidesdolescent
a b s t r a c t
Leptin has emerged over the past decade as a key hormone not only in energy balance regulation but alsoin neuroendocrine and inflammatory processes. The aim of the present study was to evaluate whetherhyperleptinemia deregulates neuropeptides during weight loss. A total of 86 post-pubertal obese adoles-cents (with or without hyperleptinemia) participated in one year of interdisciplinary weight loss therapy(clinical, nutritional, psychological and exercise-related). Adipokine and neuropeptide concentrationswere measured by ELISA, visceral fat was measured by ultrasound and body composition was mea-sured by pletismography. The hyperleptinemic patients presented a lower alpha-MSH concentrationand higher NPY/AgRP ratio while the adiponectin/leptin (A/L) ratio was lower compared with the non-hyperleptinemic group. After therapy, significant improvements in BM, BMI, body fat mass, visceral andsubcutaneous fat, HOMA-IR, QUICKI, total cholesterol and triglycerides were observed in both groups.Indeed, we observed significant increases in adiponectin and A/L as well as reductions in leptin andNPY/AgRP ratio in the hyperleptinemic group. In the stepwise multiple linear regression analysis with
leptin concentration as the dependent variable, �-MSH and body fat mass (%) were the independentpredictors to explain leptin concentration. For the entire group, we found positive correlations betweenleptinemia and BMI and body fat mass (%) as well as a negative correlation with free fat mass (%) andalpha-MSH. Finally, we verified negative correlations between adiponectin/leptin ratio with total choles-terol and LDL-c, only in hyperleptinemic patients. In conclusion, the hyperleptinemia in obese adolescents
s dur
deregulates neuropeptide
. Introduction
Leptin, an adipokine that is primarily expressed by adipose tis-ue, is considered to be involved in neuroendocrine control ofnergy balance. However, in human obesity states of hyperleptine-ia, central and peripheral leptin insensitivity is suggested. Indeed,
ecent studies showed that the hypothalamus is not leptin resis-
ant in hyperleptinemia conditions. Leptin deficiency results fromecreased leptin transport across the blood brain barrier [18,27,29].
∗ Corresponding author at: Rua Professor Francisco de Castro, no 93, Vilalementino – São Paulo/SP, Postal Code: 04020-050, Brazil. Tel.: +55 11 5572 0177;
In the context of obesity and co-morbidities, states of hyper-leptinemia began as an idea that the body’s biomolecularmilieu decreases overall sensitivity to leptin effects such thatnormal or, classically, increased levels produce an inadequateresponse [18,27]. This concept is reinforced by the observa-tion that most obese individuals, including adolescents haveincreased serum leptin concentrations, causing hyperleptinemia, asrecently demonstrated in the literature and by our research group[24,27,43].
In a previous study, it was demonstrated that the prevalenceof hyperleptinemia was 25.92% among obese adolescents [11] andthat 20% of postmenopausal women presented hyperleptinemia
[2]. Since its discovery more than a decade ago, leptin has beenestablished as a key regulator of energy balance [7,38]; however,recent evidence indicates that leptin deficiency is a pivotal link inobesity-related diseases [3,14].
Journal Identification = PEP Article Identification = 68370 Date: July 8, 2011 Time: 3:14 pm
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A.R. Dâmaso et al. / Pep
As mentioned above, hyperleptinemia is commonly observedn obese humans and animals [4,42,45]. Inversely, a decrease indiponectin concentration was demonstrated by several investi-ations in obese adolescents and adults. However, the potentialechanisms for diminished adiponectinemia and hyperleptinemia
s related to inflammation remain to be investigated in obese ado-escents [9,37]. Thus, the interplay among adipokines, leptin anddiponectin may be an important contributor in the pathogenesisf obesity and other co-morbidities.
In the central nervous system, NPY, AgRP and �-MSH producedy neurons in the hypothalamus act locally to regulate energyalance. NPY exerts a physiologically important role in energyomeostasis [25,41]. However, blood NPY levels will reflect itsecretion from the adrenal gland, sympathetic nervous system anddipocytes, which may contribute to adiposity and its metaboliconsequences [13,26].
�-MSH exerts an important role in the energy balance in obesedolescents; changes in expression were correlated to weight sta-us changes [24,31]. However, previous authors did not investigatehis association with changes in leptin concentration, as related toyperleptinemic status. Because the melanocortin (MC) system liesownstream of leptin sensitivity, it is important to understand this
nteraction during clinical weight loss intervention to optimize thelinical approach to improve energy balance as a key strategy forbesity control.
Several studies have shown a relationship between leptin lev-ls and energy balance in obese youngsters; however, the resultsre inconclusive, with leptin levels that either decrease or remainnchanged after exercise or dietary intervention [5].
Therefore, the role of a long-term interdisciplinary weight lossrogram on pro-anti-inflammatory pathways and the central reg-lation of energy balance were analyzed in obese adolescents withr without hyperleptinemia. The aims of the present study were tonvestigate the role of hyperleptinemia during weight loss therapyn energy balance in obese adolescents and to determine whether
state of hyperleptinemia could adversely deregulate neuropep-ides.
. Materials and methods
.1. Subjects
A total of 86 obese adolescents (39 boys and 47 girls) whontered the Interdisciplinary Obesity Program of the Federal Uni-ersity of São Paulo – Paulista Medical School were assigned to twoub-groups: hyperleptinemic (H) or non-hyperleptinemic (n-H).hose who were considered hyperleptinemic presented baselinealues above 20 ng/ml for boys and 24 ng/ml for girls, as based oneference values cited by Gutin et al. [12] and Whatmore et al. [44].hese patients were submitted to weight loss therapy. The evalu-tions were performed at baseline, after 6 months and after 1 yearf an interdisciplinary approach.
The ages of the participants ranged from 15 to 19 years16.6 ± 1.67 years). BMI was 37.03 ± 3.78 kg/m2. All participantsere confirmed as meeting the inclusion criteria of post-pubertal
tage V [40] (based on the Tanner stages of obesity (BMI >95thercentile of the CDC reference growth charts)) [6]. Exclusion cri-eria were identified genetic, metabolic or endocrine disease andrevious drug utilization. Informed consent was obtained from allubjects and/or their parents, including agreement of the adoles-
ents and their families to participate as volunteers. This study waserformed in accordance with the principles of the Declaration ofelsinki and was formally approved by the Institutional Ethicalommittee (#0135/04).
32 (2011) 1384–1391 1385
2.2. Study protocol and medical screening
The subjects were medically screened; their pubertal stages andtheir anthropometric measures were assessed (height, weight, BMIand body composition). The endocrinologist completed a clinicalinterview, including questions to determine eligibility based oninclusion and exclusion criteria. A blood sample was collected andanalyzed, and ultrasound (US) was performed to measure visceraland subcutaneous fat. All subjects underwent an ergometric test.Indeed, the procedures were scheduled for the same time of day toremove any influence of diurnal variations.
2.3. Anthropometric measurements and body composition
Subjects were weighed wearing light clothing and no shoes ona Filizola scale to the nearest 0.1 kg. Height was measured to thenearest 0.5 cm by using a wall-mounted stadiometer (Sanny, modelES 2030). BMI was calculated as body weight divided by heightsquared. Body composition was estimated by plethysmography inthe BOD POD body composition system (version 1.69, Life Measure-ment Instruments, Concord, CA) [10].
2.4. Serum analysis
Blood samples were collected in the outpatient clinic around8 h after an overnight fast. Insulin resistance was assessed bythe homeostasis model assessment-insulinesistance (HOMA-IR)index and the quantitative insulin sensitivity check index (QUICKI).HOMA-IR was calculated using the fasting blood glucose (FBG)and immunoreactive insulin (I): [FBG (mg/dL) × I (mU/L)]/405;QUICKI was calculated as 1/(log I + log FBG). Total cholesterol, TG,HDL, LDL and VLDL were analyzed using a commercial kit (CELM,Barueri, Brazil). The HOMA-IR data were analyzed according to ref-erence values reported by Schwimmer et al. [35]. The a-MSH, NPY,AgRP, total ghrelin, total adiponectin and leptin concentrationswere measured using a commercially available enzyme-linkedimmunosorbent assay (ELISA) kit from Phoenix Pharmaceuticals,Inc. (Belmont, CA, USA) according to the manufacturer’s instruc-tions. The coefficient of variation (CV) for the adipokines andneuropeptide procedure was calculated: a-MSH (CV = 6.48%), NPY(CV = 11.91%), AgRP (CV = 13.47%), ghrelin (CV = 6.82%), adiponectin(CV = 4.5%) and leptin (CV = 4.07%). For this study, the leptin datawere analyzed according to reference values described by Gutinet al. [12] and the ghrelin reference value adopted was 10–14 ng/ml.according to Whatmore et al. [44].
2.5. Visceral and subcutaneous adiposity measurements
All abdominal ultrasonographic procedures and measurementsof visceral and subcutaneous fat tissue were performed by thesame physician, who was blinded to subject assignment groupsat baseline and after intervention. This physician was a special-ist in imaging diagnostics. A 3.5-MHz multifrequency transducer(broad band) was used to reduce the risk of misclassification. Theintra-examination coefficient of variation for ultrasound (US) was0.8%.
US measurements of intra-abdominal (visceral) and subcuta-neous fat were obtained. US-determined subcutaneous fat wasdefined as the distance between the skin and external face of therectus abdominis muscle, and visceral fat was defined as the dis-
tance between the internal face of the same muscle and the anteriorwall of the aorta. Cut-off points to define visceral obesity by ultra-sonographic parameters were based on previous methodologicaldescriptions by Ribeiro-Filho et al. [30].
Journal Identification = PEP Article Identification = 68370 Date: July 8, 2011 Time: 3:14 pm
1 ptides 32 (2011) 1384–1391
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ssed
by
mea
n
±
SD.
lues
:
Glu
cose
(60–
110
mg/
dL)
, In
suli
n
(<20
�U
/mL)
, HO
MA
-IR
(<2.
0), Q
UIC
KI
(>0.
339)
;
Tota
l
chol
este
rol
(<17
mg/
dL)
, Tri
glyc
erid
es
(33–
12
mg/
dL)
, HD
L-ch
oles
tero
l
(>3
mg/
dL)
, LD
L-ch
oles
tero
l
(<13
mg/
dL)
, VLD
L-10
–5
mg/
dL)
[35]
.
of
the
hyp
erle
pti
nem
ic
grou
p
vs
Non
-hyp
erle
pti
nem
ic
grou
p
at
the
sam
e
stu
dy
per
iod
, p
≤
0.05
.so
n
of
base
lin
e
vs
6
mon
ths,
p
≤
0.05
.so
n
of
base
lin
e
vs
afte
r
one
year
of
inte
rven
tion
, p
≤ 0.
05.
son
of
6
mon
ths
vs
afte
r
one
year
of
inte
rven
tion
, p
≤ 0.
05.
386 A.R. Dâmaso et al. / Pe
.6. Dietary program
Energy intake was set at the levels recommended by the dietaryeference intake for subjects with low levels of physical activity ofhe same age and gender following a balanced diet [22]. No drugsr antioxidants were recommended. Once a week, adolescentsad dietetic lessons (providing information on the food pyramid,iet record assessment, weight-loss diets and “miracle” diets, food
abels, dietetics, fat-free and low-calorie foods, fats (kinds, sourcesnd substitutes), fast-food calories and nutritional composition,ood nutritional choices on special occasions, healthy sandwiches,hakes and products to promote weight loss, functional foods andecisions on food choices). All patients received individual nutri-ional consultation during the intervention program.
At the beginning of the study and at 6 months and 12 monthsnto the program, a 3-day dietary record was collected. Portions
ere measured in terms of familiar volumes and sizes. The dieti-ian taught the parents and the adolescents how to record foodonsumption. These dietary data were transferred to a computer byhe same dietician, and the nutrient composition was analyzed by aoftware program developed at the Federal University of São Paulo
Paulista Medical School (Nutwin version 1.5 for Windows, 2002)hat used data from Western and local food tables. In addition, thearents were encouraged by a dietician to call if they needed extra
nformation.
.7. Exercise program
During the 1-year interdisciplinary intervention period, adoles-ents followed a personalized aerobic training program including
60-min session three times a week (180 min/week) under theupervision of an exercise physiologist. Each program was devel-ped according to the results of an initial oxygen uptake test forerobic exercises (cycle-ergometer and treadmill). The intensityas set at a workload corresponding to a ventilatory threshold of
(50–70% of oxygen uptake test). At the end of 6 months, aero-ic tests were performed to assess physical capacity, and physicalraining intensity was adjusted for each individual. During the aero-ic sessions, adolescents were submitted to heart-rate monitoring.he exercise program was based on the 2001 recommendationsrovided by the American College of Sports Medicine [1].
.8. Psychological intervention
Diagnoses of common psychological problems associated withbesity, such as depression, disturbances of body image, anxietynd decreased self-esteem, were established by validated question-aires. During the interdisciplinary intervention, the adolescentsad weekly psychological support group sessions where they dis-ussed body image and alimentary disorders, such as bulimia andnorexia nervosa, binge eating; their signs, symptoms and healthonsequences; the relationship between their feelings and food;roblems in the family, such as alcoholism, and other topics. Indi-idual psychological therapy was recommended when we foundndividuals with nutritional and behavioral problems.
.9. Statistical analysis
All data were analyzed using STATISTICA version 6 for Win-ows, with the significance level set at p < 0.05. Data arexpressed as the mean ± SD unless otherwise stated. Distribu-ional assumptions were verified by the Kolmogorov–Smirnov test,
nd non-parametric methods were performed when appropriate.dipokines and neuropeptides were analyzed with non-parametric
ests and expressed as median, minimum and maximum values.omparisons between measures at baseline and after weight-loss Ta
ble
1A
nth
rop
ome
Var
iabl
es/t
Bod
y
wei
gB
MI (
kg/m
Bod
y
fat
(%B
ody
fat
(kFa
t
free
ma
Fat
free
ma
Vis
cera
l fat
Subc
uta
ne
Glu
cose
(mIn
suli
n
(�U
HO
MA
-IR
QU
ICK
ITo
tal c
hol
eTr
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ceri
dH
DL
(mg/
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(mg/
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VLD
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(mg/
Val
ues
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Journal Identification = PEP Article Identification = 68370 Date: July 8, 2011 Time: 3:14 pm
A.R. Dâmaso et al. / Peptides
Tab
le
2A
dip
okin
es
and
neu
rop
epti
des
amon
g
obes
e
adol
esce
nts
wit
h
hyp
erle
pti
nem
ia
and
wit
hou
t
hyp
erle
pti
nem
ia
befo
re
and
afte
r
wei
ght
loss
inte
rven
tion
.
Var
iabl
es/t
ime
Hyp
erle
pti
nem
ic
pat
ien
tsN
on-h
yper
lep
tin
emic
pat
ien
ts
Bas
elin
e
6
mon
ths
Aft
er
inte
rven
tion
Bas
elin
e
6
mon
ths
Aft
er
inte
rven
tion
Ad
ipon
ecti
n
(ug/
l)5.
46
(1.8
2–13
.86)
5.89
(1.4
0–15
.06)
b5.
46
(2.4
8–15
.99)
5.26
(2.7
1–10
.65)
5.63
(2.6
5–16
.13)
b6.
77
(2.7
8–13
.23)
c
Lep
tin
(ng/
ml)
43.5
0
(24.
37–6
9.44
)a28
.37
(1.2
9–55
.57)
a,b
31.2
4
(1.1
0–51
.75)
a,c
,d7.
93
(1.2
3–23
.77)
5.15
(1.2
4–49
.94)
5.05
(1.2
6–38
.41)
c
Ad
ipon
ecti
n/l
epti
n
rati
o
0.13
(0.0
3–0.
53)a
0.22
(0.0
5–21
.88)
a,b
0.23
(0.0
6–10
.24)
a,c
0.72
(0.1
4–6.
52)
1.46
(0.1
3–5.
41)b
1.35
(0.0
9–4.
90)
Gh
reli
n
(ng/
ml)
1.19
(0.3
1–13
.30)
a1.
31
(0.1
8–13
.30)
1.22
(0.5
2–23
.47)
a3.
12
(0.9
0–42
.66)
1.97
(0.6
8–11
.61)
3.89
(0.7
9–23
.47)
c
NPY
(ng/
ml)
0.89
(0.2
1–6.
71)a
1.17
(0.2
7–27
.21)
b0.
94
(0.1
7–19
.67)
a,d
1.17
(0.2
3–15
.43)
1.17
(0.7
5–14
.36)
1.27
(0.1
8–4.
68)
AgR
P
(ng/
ml)
0.25
(0.1
1–1.
02)
0.28
(0.1
3–0.
76)a
0.34
(0.0
2–0.
88)a
,c,d
0.31
(0.1
3–0.
78)
0.40
(0.2
1–0.
85)
0.49
(0.2
3–15
.43)
c,d
NPY
/AgR
P
rati
o
3.74
(0.3
3–30
.49)
a3.
01
(1.8
3–68
.11)
b3.
08
(0.1
8–19
.05)
c2.
88
(0.3
6–42
.08)
5.30
(1.5
2–64
.46)
2.55
(0.2
2–57
.76)
Alp
ha-
MSH
(ng/
ml)
0.71
(0.2
4–14
.40)
a0.
64
(0.2
8–17
.13)
a0.
74
(0.3
0–13
)
7.72
(0.6
4–28
.36)
2.01
(0.6
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32 (2011) 1384–1391 1387
intervention were made using an analysis of variance (ANOVA)for repeated measures or the Wilcoxon signed rank test ofnon-parametric variables. Comparisons between groups were per-formed using a one-way ANOVA or the Mann–Whitney test(non-parametric variables). Pearson’s correlation was performedto test the direction and strength of the relationship between lep-tin concentration and the variables of interest and to select thosevariables that did not present collinearity, to select the predictors inthe multiple regression. Stepwise multiple linear regression anal-ysis was performed to estimate the association with parametersknown to influence leptin concentration.
3. Results
At the beginning of therapy, 86 obese adolescents were enrolledin the program. The results are presented for the whole populationstudied: we did not find significant gender differences in BMI atbaseline. Indeed, the subjects were paired according to BMI, thendivided and analyzed according to leptinemic state.
3.1. Normoleptinemic patients
After weight loss intervention, we observed significant improve-ments in BM, BMI, body fat mass (% and kg), visceral andsubcutaneous fat, insulin concentration, HOMA-IR, QUICKI, totalcholesterol and triglycerides. Indeed, short- and long-term inter-ventions increased the free fat mass (%) (Table 1 Table 1).
Based on the adipokine and neuropeptide data, we verifiedincreases in adiponectin concentration and adiponectin/leptin ratiowith a concomitant reduction in alpha-MSH concentration. Theleptin concentration decreased, while the orexigenic factors (ghre-lin and AgRP) increased after 1 year. When we analyzed the AgRPfrom 6 months to 1 year of intervention, a significant increase wasobserved (Table 2 Table 2).
3.2. Hyperleptinemic patients
After weight loss intervention, we observed significant improve-ments in BM, BMI, body fat mass (% and kg), visceral andsubcutaneous fat, insulin concentration, HOMA-IR, QUICKI, totalcholesterol and triglycerides, similar to the trend observed in thenormoleptinemic patients. Only long-term (1 year) treatment wasable to promote a significant increase in free fat mass (%) (Table 1).
The group with hyperleptinemia exhibited a significant increasein adiponectin, NPY concentration and adiponectin/leptin ratio aswell as a reduction in leptin and NPY/AgRP ratio with short-termintervention. After one year, this group presented a significantincrease in adiponectin/leptin ratio and in AgRP concentration,with a reduction in the NPY/AgRP ratio (Table 2).
3.3. Comparison between the groups
It is important to note that hyperleptinemic patients presentedlower adiponectin/leptin ratio, alpha-MSH and ghrelin concentra-tion at baseline. Indeed, the NPY/AgRP ratio was higher comparedwith that observed in the non-hyperleptinemic group.
We found positive correlations between leptin concentrationsand BMI and body fat mass (%) at baseline, in the entire group(Fig. 1a and b). On the other hand, the leptin concentrations werenegatively correlated with free fat mass (%) and alpha-MSH (Fig. 2aand b). Negative correlations between adiponectin/leptin ratio and
total cholesterol and LDL-c were confirmed at baseline only inhyperleptinemic patients (Fig. 3a and b).
As shown in Table 3 Table 3, stepwise multiple linear regressionanalysis was performed with leptin concentration as the depen-
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1388 A.R. Dâmaso et al. / Peptides 32 (2011) 1384–1391
Fig. 1. Positive correlation between leptin concentration with BMI (a) and body fat (%) (b) at baseline conditions in the entire group.
Fig. 2. Negative correlation between leptin concentrations with free fat mass (%) (a) and alpha-MSH (b) at baseline conditions in the entire group.
Fig. 3. Negative correlations between adiponectin/leptin ratio with cholesterol total (a) and LDL-c (b) in hyperleptinemic patients at baseline conditions.
Journal Identification = PEP Article Identification = 68370 Date: July 8, 2011 Time: 3:14 pm
A.R. Dâmaso et al. / Peptides
Table 3Multiple regression analysis for the leptin concentration in the entire group.
Leptin
Regression coefficient ̌ p
Age 0.08 0.29Alpha-MSH (ng/ml) −0.47 0.001Body fat mass (%) −0.33 0.001
ent variable. �-MSH and body fat mass (%) were the independentredictors to explain leptin concentration in the present study.
. Discussion
Obesity has been shown to cause resistance or reduced sensi-ivity to several hormones, including leptin and adiponectin. Obesendividuals appear to have higher sympathetic nervous systemSNS) activity; however, the metabolic response to SNS stimula-ion appears reduced in this population. This finding suggests that,n obesity, any compensatory effect of the SNS on metabolism toncrease energy expenditure may not occur, rendering weight loss
ore difficult [8,33].We verified that, after the therapy, obese adolescents have
ecreased body weight, total body fat, visceral fat and leptin con-entration; however, some of them remain in a hyperleptinemictate (Table 1).
Studies have reported hyperleptinemia in insulin-resistant indi-iduals independently of the level of obesity. Indeed, they reportedross-sectional associations between hyperleptinemia and insulinesistance independently of body mass index in a population-basedohort. These studies indicate that leptin and insulin are involvedn a complex regulatory loop and highlight the pivotal role of leptinn glucose homeostasis, acting as an insulin sensitizer when leptinevels are at low and normal levels and possibly contributing tonsulin resistance when leptin is chronically elevated [32,36].
In addition, in the non-hyperleptinemic group, there was a sig-ificant increase in free fat mass (%) after short-term therapy. Inhe hyperleptinemic patients, this increase occurred after only oneear of intervention. In fact, evidence derived from animal anduman studies suggests that the ability of leptin and adiponectin totimulate fat acid (FA) oxidation in muscle is impaired in obesity.hus, leptin deficiency and adiponectin resistance may be initiat-ng factors in the accumulation of intramuscular lipids. This finding
ay partially explain why the fat free mass (%) was significantlyncreased only after long-term intervention in the hyperleptinemicroup [8].
In the present study, hyperleptinemic patients presented higheralues of orexigenic factors. This fact suggests that the leptinemictate affects the neuroendocrine energetic balance, stimulating therexigenic pathways, which make weight loss difficult in obesedolescents.
One of the most important findings in the present investigationas the lower alpha-MSH concentration at baseline, which wasaintained after weight loss in the volunteers with hyperleptine-ia (Table 2). We also showed that at baseline, leptin concentrationas negatively correlated with alpha-MSH, reinforcing the concept
hat a disruption between the mechanisms involved in energy bal-nce occurs in obese adolescents, rendering weight loss difficultnd ultimately predisposing these individuals to weight regain [33].
However, at the end of therapy, alpha-MSH was similar in both
nalyzed groups. In addition, we verified that the hyperleptinemiaecreased significantly after weight loss intervention, suggestinghe important role of this type of therapy in providing superioreuroendocrine regulation of energy balance.
32 (2011) 1384–1391 1389
Animal experiments recently showed that the complexity ofmelanocortin (MC) system effects varies with the nutritional stateand that responsiveness to the effects of alpha-MSH may be main-tained even in leptin-resistant animals, suggesting that the MCsystem (receptors and post-receptor signal transduction pathways)is operant even in the absence of leptin input [33]. Similarly, in mul-tiple regression analyses, alpha-MSH was a negative independentpredictor of leptin concentration (Table 3).
Therefore, it is necessary to confirm these findings in differentpopulations because age-related obesity in the long-term regula-tion of body weight is known to be associated with leptin resistance[34,39] and alterations in body weight and composition. These find-ings may be, at least partly, caused by changes in the activity ofanorexigenic and orexigenic neurohumoral systems. Componentsof the MC system in the hypothalamus are considered to be majorplayers in the regulation of energy metabolism and body weight[28].
In agreement with the literature, we observed that in hyper-leptinemic status, the ghrelin concentration was lower during theintervention in comparison with the non-hyperleptinemic group.An increase in ghrelin concentration at the end of therapy wasobserved only in the non-hyperleptinemic patients. Such a changeis considered as an adaptive function of ghrelin in response to neg-ative energy balance [7]. These data reinforce the concept of leptinresistance in leptin excess status, as observed in obesity, as it waspreviously demonstrated that leptin inhibits ghrelin efflux from thestomach and reduced ghrelin-induced feeding [15,21,23].
Important evidence in the present investigation is that theNPY/AgRP ratio was significantly higher at baseline in the hyper-leptinemic group. This finding could be explained by impairedleptin function in maintaining energy homeostasis, restraining therelease of NPY, in the hyperleptinemia group [15]. However, bothgroups presented a reduction of this ratio in the course of weightloss therapy, showing similar values at the end of the interven-tion. These data reinforce the role of circulating levels of thesepeptides in energy homeostasis in obese adolescents. Previously, itwas demonstrated that NPY and leptin form a loop system respon-sible for providing feedback to the central nervous system on thestate of the peripheral energy stores. The suggested mechanismincludes nitric oxide-mediated regulation of leptin and NPY duringfood intake in mice [19,20]. However, these mechanisms need tobe fully investigated in humans in future research efforts.
Recent studies showed that elevated circulating NPY levels andleptin were observed in patients with cardiovascular diseases, suchas acute myocardial infarction, angina pectoris, heart failure andhypertension where sympathetic nerve activity is increased, indi-cating the clinical importance of NPY in regulating vessel function[16,26]. Moreover, the interactions between NPY and the release ofinflammatory cytokines, such as leptin, in an atherosclerotic milieumay play a major role in the cardiovascular system [26].
Adiponectin levels improved significantly after short- andlong-term therapies in the normoleptinemic group; however, thehyperleptinemic patients showed an increase in this variable onlyafter long-term therapy. The slight change in adiponectin levelscould be linked to the time of intervention and may not be sufficientfor detection. In a study with obese children, after lifestyle inter-vention, adiponectin levels, together with several other metabolicparameters, were significantly improved, potentially due to weightloss, improvement of metabolic status, or both [5].
Leptin and adiponectin are involved in the regulation ofmetabolic homeostasis and inflammatory process in a constellationof chronic diseases. Several studies have reported the association
of adipokines, especially A/L ratio, with the presence of metabolicsyndrome [14,17,46]. In agreement, Jung et al. [14] showed in adultsthat the A/L ratio was decreased in the presence of metabolic syn-drome (MS) and that changes are related to the number of MS
Journal Identification = PEP Article Identification = 68370 Date: July 8, 2011 Time: 3:14 pm
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omponents. Our study corroborated these findings, revealing aegative correlation between the A/L ratio and total cholesterol andDL cholesterol in the hyperleptinemic group.
Thus, one important finding from the present study is that the/L ratio was significantly lower throughout the intervention in
hose with hyperleptinemia compared with non-hyperleptinemicatients. However, weight loss therapy was effective in improvinghis ratio in both analyzed groups.
Our study presented some limitations, such as a reduced numberf subjects, and we measured total ghrelin rather than acyl ghrelin,lthough the acylation of this peptide is necessary to cross the bloodrain barrier to release GH and exert others endocrine functions.
However, we demonstrate in obese adolescents that the A/Latio was negatively correlated with total cholesterol and LDLholesterol and higher values of NPY/AgRP in hyperleptinemicatients. All together, these data reinforce the role of hyperleptine-ia in the deregulation of energy balance in obese adolescents,
uggesting that this pivotal interplay of leptin in energy balancend inflammation needs to be considered in a clinical intervention.
. Conclusions
In conclusion, our study reveals that long-term interdisciplinaryherapy promotes significant improvement in the disruption ofomeostatic cross-talk between the afferent hormonal signals fromhe periphery and the hypothalamic network of NPY, observed
ainly in hyperleptinemic obese patients. Finally, these dataan elucidate the interplay between hyperleptinemic status andncreased NPY/AgRP ratio with a concomitant decrease in alpha-
SH, factors implicated in impaired weight loss control.
rant support
AFIP, FAPESP 2008/53069-0 and 2006/00684-3, FAPESPCEPID/Sleep #9814303-3 S.T) CNPq, CAPES, CENESP, FADA, andNIFESP-EPM, supported the CEPE-GEO Interdisciplinary Obesity
ntervention Program.
isclosure statement
There is no conflict interest.
eferences
[1] ACSM. ACMS position stand on the appropriate intervention strategies forweight loss and prevention of weight regain for adults. Med Sci Sports Exerc2001;33(12):2145–56.
[2] Barrios Y, Díaz N, Meertens L, Naddaf G, Solano L, Fernández M, et al. Lep-tina Sérica, su relación con peso y distribuición de grasa corporal en mujeresposmenopáusicas. Nutr Hosp 2010;25(1):80–4.
[3] Beltowski J. Leptin atherosclerosis. Atherosclerosis 2006;189:47–60.[4] Blüher S, Mantzoros CS. Leptin in humans: lessons from translational research.
Am J Clin Nutr 2009;89(3):991S–7S.[5] Cambuli VM, Musiu MC, Incani M, Paderi M, Serpe R, Marras V, et al. Assessment
of adiponectin and leptin as biomarkers of positive metabolic outcomes afterlifestyle intervention in overweight and obese children. J Clin Endocrinol Metab2008;93(8):3051–7.
[6] Centers for Disease Control and Prevention. Prevalence of over-weight among children and adolescents: United States; 1999–2000.http://www.cdc.gov/nchs/products/pubs/pubd/hestats/overwght99.htm[accessed 2010].
[7] Delhanty PJ, van der Lely AJ. Ghrelin and glucose homeostasis. Peptides 2011[Epub ahead of print].
[8] Dyck DJ, Heigenhauser GJ, Bruce CR. The role of adipokines as regulators ofskeletal muscle fatty acid metabolism and insulin sensitivity. Acta Physiol2006;186(1):5–16.
[9] Faraj M, Havel PJ, Phélis S, Blank D, Sniderman AD, Cianflone K. Plasma
acylation-stimulating protein, adiponectin, leptin, and ghrelin before and afterweight loss induced by gastric bypass surgery in morbidly obese subjects. J ClinEndocrinol Metab 2003;88(4):1594–602.
10] Fields DA, Goran MI. Body composition techniques and the four-compartmentmodel in children. J Appl Physiol 2000;89(2):613–20.
[
[
32 (2011) 1384–1391
11] Foschini D, Santos RV, Prado WL, de Piano A, Lofrano MC, Martins AC, et al.Platelet and leptin in obese adolescents. J Pediatr (Rio J) 2008;84(6):516–21.
12] Gutin B, Ramsey L, Barbeau P, Cannady W, Ferguson M, Litaker M, et al. Plasmaleptin concentrations in obese children: changes during 4-mo periods with andwithout physical training. Am J Clin Nutr 1999;69:388–94.
13] Ilhan A, Rasul S, Dimitrov A, Handisurya A, Gartner W, Baumgartner-ParzerS, et al. Plasma neuropeptide Y levels differ in distinct diabetic conditions.Neuropeptides 2010;44(December (6)):485–9.
14] Jung CH, Rhee EJ, Choi JH, Bae JC, Yoo SH, Kim WJ, et al. The relationshipof adiponectin/leptin ratio with homeostasis model assessment insulin resis-tance index and metabolic syndrome in apparently healthy Korean male adults.Korean Diabetes J 2010;34(4):237–43.
15] Kalra SP. Disruption in the leptin-NPY link underlies the pandemic ofdiabetes and metabolic syndrome: new therapeutic approaches. Nutrition2008;24(9):820–6.
16] Kshatriya S, Liu K, Salah A, Szombathy T, Freeman RH, Reams GP, et al. Obesityhypertension: the regulatory role of leptin. Int J Hypertens 2011:270624.
17] Lee JM, Kim SR, Yoo SJ, Hong OK, Son HS, Chang SA. The relationshipbetween adipokines, metabolic parameters and insulin resistance in patientswith metabolic syndrome and type 2 diabetes. J Int Med Res 2009;37:1803–12.
18] Martin SS, Qasim A, Reilly MP. Leptin resistance: a possible interface of inflam-mation and metabolism in obesity-related cardiovascular disease. J Am CollCardiol 2008;52(15):1201–10.
19] Morley JE, Alshaher MM, Farr SA, Flood JF, Kumar VB. Leptin and neuropeptideY (NPY) modulate nitric oxide synthase: further evidence for a role of nitricoxide in feeding. Peptides 1999;20(5):595–600.
20] Morley JE, Farr SA, Sell RL, Hileman SM, Banks WA. Nitric oxide is a central com-ponent in neuropeptide regulation of appetite. Peptides 2011;32(4):776–80.
21] Myers MG, Cowley MA, Münzberg H. Mechanisms of leptin action and leptinresistance. Annu Rev Physiol 2008;70:537–56.
22] NRC. Dietary reference intake: applications in dietary assessment. Washington(DC): National Academic Press; 2001.
23] Olszanecka-Glinianowicz M, Zahorska-Markiewicz B, Kocełak P, Janowska J,Semik-Grabarczyk E. The effect of weight reduction on plasma concentrationsof ghrelin and insulin-like growth factor 1 in obese women. Endokrynol Pol2008;59(4):301–4.
24] Oyama LM, do Nascimento CM, Carnier J, de Piano A, Tock L, Sanches PdeL, et al. The role of anorexigenic and orexigenic neuropeptides and periph-eral signals on quartiles of weight loss in obese adolescents. Neuropeptides2010;44(6):467–74.
25] Palou M, Sánchez J, Rodríguez AM, Priego T, Picó C, Palou A. Induction ofNPY/AgRP orexigenic peptide expression in rat hypothalamus is an early eventin fasting: relationship with circulating leptin, insulin and glucose. Cell PhysiolBiochem 2009;23(1–3):115–24.
26] Pankajakshan D, Jia G, Pipinos I, Tyndall SH, Agrawal DK, Neuropeptide Y. recep-tors in carotid plaques of symptomatic and asymptomatic patients: effect ofinflammatory cytokines. Exp Mol Pathol 2011;90(3):280–6.
27] Paz-Filho GJ, Volaco A, Suplicy HL, Radominski RB, Boguszewski CL. Decreasein leptin production by the adipose tissue in obesity associated with severemetabolic syndrome. Arq Bras Endocrinol Metabol 2009;53(9):1088–95.
28] Petervari E, Balasko M, Garami A, Soos S, Szekely M. Suppression of food intakeby intracerebroventricular injection of alpha-MSH varies with age in rats. ActaPhysiol Hung 2009;96:483–7.
29] Reinehr T, Kratzsch J, Kiess W, Andler W. Circulating soluble leptin receptor,leptin, and insulin resistance before and after weight loss in obese children. IntJ Obes (Lond) 2005;29(10):1230–5.
30] Ribeiro-Filho FF, Faria AN, Azjen S, Zanella MT, Ferreira SR. Methods of estima-tion of visceral fat: advantages of ultrasonography. Obes Res 2003;11:1488–94.
31] Roth CL, Kratz M, Ralston MM, Reinehr T. Changes in adipose-derived inflamma-tory cytokines and chemokines after successful lifestyle intervention in obesechildren. Metabolism 2010 [Epub ahead of print].
32] Ruige JB, Dekker JM, Blum WF, Stehouwer CD, Nijpels G, Mooy J, et al.Leptin and variables of body adiposity, energy balance, and insulin resis-tance in a population-based study. The Hoorn Study. Diabetes Care1999;22(7):1097–104.
33] Sainsburya A, Zhanga L. Role of the arcuate nucleus of the hypothalamusin regulation of body weight during energy deficit. Mol Cell Endocrinol2010;316:109–19.
34] Scarpace PJ, Matheny M, Shek EW. Impaired leptin signal transduction withage-related obesity. Neuropharmacology 2000;39(10):1872–9.
35] Schwimmer JB, Deutsch R, Rauch JB, Behling C, Newbury R, Lavine JE. Obe-sity, insulin resistance, and other clinicopathological correlates of pediatricnonalcoholic fatty liver disease. J Pediatr 2003;143(4):500–5.
36] Segal KR, Landt M, Klein S. Relationship between insulin sensitivity and plasmaleptin concentration in lean and obese men. Diabetes 1996;45(7):988–91.
37] Shaibi GQ, Cruz ML, Weigensberg MJ, Toledo-Corral CM, Lane CJ, Kelly LA, et al.Adiponectin independently predicts metabolic syndrome in overweight Latinoyouth. J Clin Endocrinol Metab 2007;92(5):1809–13.
38] Simpson KA, Martin NM, Bloom SR. Hypothalamic regulation of food intake andclinical therapeutic applications. Arq Bras Endocrinol Metab 2009;53(2):120–8.
39] Soos S, Petervari E, Szekely M, Jech-Mihalffy A, Balasko M. Complex cataboliceffects of central alpha-MSH infusion in rats of altered nutritional states: dif-ferences from leptin. J Mol Neurosci 2010 [Epub ahead of print].
40] Tanner JM, Whitehouse RH. Clinical longitudinal standards for height, weightvelocity and stages of puberty. Arch Dis Child 1976;51:170–9.
Journal Identification = PEP Article Identification = 68370 Date: July 8, 2011 Time: 3:14 pm
tides
[
[
[
[
[
A.R. Dâmaso et al. / Pep
41] Trayhurn P, Bing C. Appetite energy balance signals from adipocytes. PhilosTrans R Soc Lond B Biol Sci 2006;361(1471):1237–49.
42] Tschöp MH, Hui DY, Horvath TL. Diet-induced leptin resistance: the heart of
the matter. Endocrinology 2007;148(3):921–3.
43] Vendrell J, Broch M, Vilarrasa N, Molina A, Gómez JM, GutiérrezC, et al. Resistin, adiponectin, ghrelin, leptin, and proinflamma-tory cytokines: relationships in obesity. Obes Res 2004;12(6):962–71.
[
32 (2011) 1384–1391 1391
44] Whatmore AJ, Hall CM, Jones J, Westwood M, Clayton PF. Ghrelin concentra-tions in healthy children and adolescents. Clin Endocrinol 2003;59:649–54.
45] Yu F, Deng C, Huang X-F. Obese reversal by a chronic energy restricted diet
leaves an increased Arc NPY/AgRP, but no alteration in POMC/CART, mRNAexpression in diet-induced obese mice. Behav Brain Res 2009:50–6.
46] Zhuo Q, Wang Z, Fu P, Piao J, Tian Y, Xu J, et al. Comparison of adiponectin, leptinand leptin to adiponectin ratio as diagnostic marker for metabolic syndromein older adults of Chinese major cities. Diabetes Res Clin Pract 2009;84:27–33.