<?xml version="1.0" encoding="ISO-8859-1"?><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
<front>
<journal-meta>
<journal-id>0004-0622</journal-id>
<journal-title><![CDATA[Archivos Latinoamericanos de Nutrición]]></journal-title>
<abbrev-journal-title><![CDATA[ALAN]]></abbrev-journal-title>
<issn>0004-0622</issn>
<publisher>
<publisher-name><![CDATA[Sociedad Latinoamericana de Nutrición]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S0004-06222012000300009</article-id>
<title-group>
<article-title xml:lang="en"><![CDATA[Obesity with no metabolic syndrome and adipose tissue expansion based solely on risk factors and inflammatory marker of coronary heart disease in premenopausal women]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Alves Ramos]]></surname>
<given-names><![CDATA[Sabrina]]></given-names>
</name>
<xref ref-type="aff" rid="A01"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Sabino]]></surname>
<given-names><![CDATA[Adriano de Paula]]></given-names>
</name>
<xref ref-type="aff" rid="A01"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Corrêa Ferreira]]></surname>
<given-names><![CDATA[Daniela]]></given-names>
</name>
<xref ref-type="aff" rid="A01"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Alvarez-Leite]]></surname>
<given-names><![CDATA[Jacqueline Isaura]]></given-names>
</name>
<xref ref-type="aff" rid="A01"/>
</contrib>
</contrib-group>
<aff id="A01">
<institution><![CDATA[,Universidade Federal de Minas Gerais Universidade Federal de São João Del-Rei ]]></institution>
<addr-line><![CDATA[Minas Gerais ]]></addr-line>
<country>Brazil</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>09</month>
<year>2012</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>09</month>
<year>2012</year>
</pub-date>
<volume>62</volume>
<numero>3</numero>
<fpage>267</fpage>
<lpage>274</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://ve.scielo.org/scielo.php?script=sci_arttext&amp;pid=S0004-06222012000300009&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://ve.scielo.org/scielo.php?script=sci_abstract&amp;pid=S0004-06222012000300009&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://ve.scielo.org/scielo.php?script=sci_pdf&amp;pid=S0004-06222012000300009&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="en"><p><![CDATA[The objective of this study was to analyze whether obese women with no metabolic syndrome (MetS) have increased cardiometabolic risk compared to non-obese women and to observe the correlations between adiposity and coronary heart disease (CHD) risk factors in metabolically healthy women. 20-40 year old non-obese (n=41), obese with no MetS (n=30) and obese with MetS (n=28) women were studied. Lipid profile, blood pressure, CHD family history, physical inactivity, high-sensitivity C-reactive protein (hs-CRP), fibrinogen, interleukin-1&#946; and tumor necrosis factor-alpha were analyzed. A subset of obese (13) and non-obese (33) women with no major components of MetS (except waist circumference) were further compared. Obese women with no MetS and non-obese women presented a similar metabolic profile that was statistically different from those seen in obese women with MetS. The number of obese women with no MetS and non-obese women presenting two or more risk factors (23.3 and 19.5%, respectively) or presenting high Framingham Risk Score (6.7 and 2.4%, respectively) were also similar. The only pro inflammatory protein correlated to waist circumference was hs-CRP. These data suggest that obesity with no MetS induce a CHD risk comparable to the risk seen in non-obese women. However, when women with no major components of MetS alone were considered, adiposity was positively correlated to blood pressure and hs-CRP. Although CHD risk of obese women with no MetS is closer to non-obese women, adipose tissue expansion was positively correlated to blood pressure and hs-CRP that are important risk factors for CHD.]]></p></abstract>
<abstract abstract-type="short" xml:lang="es"><p><![CDATA[Obesidad sin síndrome metabólico y expansión del tejido lipidio basado exclusivamente en factores de riesgo e marcador inflamatorio de la enfermedad coronaria em mujeres en la pré-menopausia. El objetivo de esta investigación fue analizar si las mujeres obesas que no tienen el síndrome metabólico (MetS), tienen riesgo cardiometabólico aumentado comparado con mujeres no obesas y observar las correlaciones entre factores de riesgo de la adiposidad y la enfermedad coronaria del corazón (CHD) en mujeres metabólicamente saludables. Fueron estudiadas mujeres de 20-40 años de edad no-obesas (n=41), obesas sin MetS (n=30) y obesas con MetS (n=28). Se analizaron también factores tradicionales de riesgo y marcadores inflamatorios. Un sub conjunto de mujeres obesas (13) y no obesas (33) sin componentes mayores de MetS fueron comparados adicionalmente. Mujeres obesas sin MetS y mujeres no obesas evidenciaron un perfil metabólico semejante, estadísticamente diferente de lo visto en mujeres obesas con MetS. El número de mujeres obesas sin MetS y no obesas que presentaban dos ó más factores de riesgo (23.3 y 19.5%, respectivamente) ó presentaban riesgo alto con Framingham (6.7 y 2.4%, respectivamente) también fueron semejantes. Estos datos sugieren que la obesidad sin MetS induce un riesgo de CHD comparable al riesgo observado en mujeres no obesas. Sin embargo, cuando las mujeres sin componentes importantes del MetS únicamente fueron llevadas en cuenta, la adiposidad fue correlacionada a la presión sanguínea y a la hs-CRP. Aunque el riesgo de la CHD de mujeres obesas sin MetS sea más próximo al de mujeres no obesas, la expansión del tejido adiposo fue positivamente correlacionado a la presión sanguínea y a la hs-CRP, ambos importantes factores de riesgo para la CHD.]]></p></abstract>
<kwd-group>
<kwd lng="en"><![CDATA[Adipose tissue]]></kwd>
<kwd lng="en"><![CDATA[cardiovascular disease]]></kwd>
<kwd lng="en"><![CDATA[metabolic syndrome]]></kwd>
<kwd lng="en"><![CDATA[obesity]]></kwd>
<kwd lng="en"><![CDATA[women]]></kwd>
<kwd lng="es"><![CDATA[Tejido adiposo]]></kwd>
<kwd lng="es"><![CDATA[enfermedad cardiovascular]]></kwd>
<kwd lng="es"><![CDATA[síndrome metabólico]]></kwd>
<kwd lng="es"><![CDATA[obesidad]]></kwd>
<kwd lng="es"><![CDATA[mujeres]]></kwd>
</kwd-group>
</article-meta>
</front><body><![CDATA[ <p align="center"><b><font face="Verdana">Obesity with no metabolic  syndrome and adipose tissue expansion based solely on risk factors and  inflammatory marker of coronary heart disease in premenopausal women</font></b></p>     <p align="center"><b><font face="Verdana" size="2">Sabrina Alves Ramos, Adriano de  Paula Sabino, Daniela Corrêa Ferreira, Jacqueline Isaura Alvarez-Leite</font></b></p>     <p align="justify"><font face="Verdana" size="2">Universidade Federal de Minas  Gerais, Belo Horizonte, Minas Gerais, Brazil. Universidade Federal de São João  Del-Rei, Divinópolis, Brazil. Universidade Federal de Minas Gerais, Belo  Horizonte, Minas Gerais, Brazil</font></p>     <p align="justify"><font face="Verdana" size="2"><b>SUMMARY</b>.</font></p>     <p align="justify"><font face="Verdana" size="2">The objective of this study was  to analyze whether obese women with no metabolic syndrome (MetS) have increased  cardiometabolic risk compared to non-obese women and to observe the correlations  between adiposity and coronary heart disease (CHD) risk factors in metabolically  healthy women. 20-40 year old non-obese (n=41), obese with no MetS (n=30) and  obese with MetS (n=28) women were studied. Lipid profile, blood pressure, CHD  family history, physical inactivity, high-sensitivity C-reactive protein (hs-CRP),  fibrinogen, interleukin-1&#946; and tumor necrosis factor-alpha were analyzed. A  subset of obese (13) and non-obese (33) women with no major components of MetS (except  waist circumference) were further compared. Obese women with no MetS and non-obese  women presented a similar metabolic profile that was statistically different  from those seen in obese women with MetS. The number of obese women with no MetS  and non-obese women presenting two or more risk factors (23.3 and 19.5%,  respectively) or presenting high Framingham Risk Score (6.7 and 2.4%,  respectively) were also similar. The only pro inflammatory protein correlated to  waist circumference was hs-CRP. These data suggest that obesity with no MetS  induce a CHD risk comparable to the risk seen in non-obese women. However, when  women with no major components of MetS alone were considered, adiposity was  positively correlated to blood pressure and hs-CRP. Although CHD risk of obese  women with no MetS is closer to non-obese women, adipose tissue expansion was  positively correlated to blood pressure and hs-CRP that are important risk  factors for CHD.</font></p>     <p align="justify"><font face="Verdana" size="2"><b>Key words</b>: Adipose  tissue, cardiovascular disease, metabolic syndrome, obesity, women.</font></p>     <p align="justify"><font face="Verdana" size="2"><b>RESUMEN</b>.</font></p>     <p align="justify"><font face="Verdana" size="2">Obesidad sin síndrome  metabólico y expansión del tejido lipidio basado exclusivamente en factores de  riesgo e marcador inflamatorio de la enfermedad coronaria em mujeres en la pré-menopausia.  El objetivo de esta investigación fue analizar si las mujeres obesas que no  tienen el síndrome metabólico (MetS), tienen riesgo cardiometabólico aumentado  comparado con mujeres no obesas y observar las correlaciones entre factores de  riesgo de la adiposidad y la enfermedad coronaria del corazón (CHD) en mujeres  metabólicamente saludables. Fueron estudiadas mujeres de 20-40 años de edad  no-obesas (n=41), obesas sin MetS (n=30) y obesas con MetS (n=28). Se analizaron  también factores tradicionales de riesgo y marcadores inflamatorios. Un sub  conjunto de mujeres obesas (13) y no obesas (33) sin componentes mayores de MetS  fueron comparados adicionalmente. Mujeres obesas sin MetS y mujeres no obesas  evidenciaron un perfil metabólico semejante, estadísticamente diferente de lo  visto en mujeres obesas con MetS. El número de mujeres obesas sin MetS y no  obesas que presentaban dos ó más factores de riesgo (23.3 y 19.5%,  respectivamente) ó presentaban riesgo alto con Framingham (6.7 y 2.4%,  respectivamente) también fueron semejantes. Estos datos sugieren que la obesidad  sin MetS induce un riesgo de CHD comparable al riesgo observado en mujeres no  obesas. Sin embargo, cuando las mujeres sin componentes importantes del MetS  únicamente fueron llevadas en cuenta, la adiposidad fue correlacionada a la  presión sanguínea y a la hs-CRP. Aunque el riesgo de la CHD de mujeres obesas  sin MetS sea más próximo al de mujeres no obesas, la expansión del tejido  adiposo fue positivamente correlacionado a la presión sanguínea y a la hs-CRP,  ambos importantes factores de riesgo para la CHD.</font></p>     <p align="justify"><font face="Verdana" size="2"><b>Palabras clave</b>: Tejido  adiposo, enfermedad cardiovascular, síndrome metabólico, obesidad, mujeres.</font></p>     <p align="justify"><font face="Verdana" size="2">Recibido: 20-06-2012 Aceptado:  09-09-2012</font></p>     ]]></body>
<body><![CDATA[<p align="justify"><b><font face="Verdana" size="2">INTRODUCTION</font></b></p>     <p align="justify"><font face="Verdana" size="2">Obesity is a risk factor in  insulin resistance, diabetes, dyslipidemia, hypertension, systemic inflammation,  thrombosis and mortality (1-3). It has been associated to an increased risk of  developing coronary heart disease (CHD) (2, 4). Nowadays, a subset of obese  individuals has been described as metabolically healthy obese, since they appear  to be protected from development of cardiometabolic alterations associated with  obesity. These metabolically healthy but obese individuals, despite having large  quantities of adipose tissue, preserve insulin sensitivity and favorable lipid  profile (5-7). In the present study, our goal was to analyze if obese women with  no MetS have increased cardiometabolic risk compared to non-obese women as well  as observing the possible correlations between adiposity and CHD risk factors in  metabolically healthy women.</font></p>     <p align="justify"><b><font face="Verdana" size="2">MATERIALS AND METHODS</font></b></p>     <p align="justify"><b><font face="Verdana" size="2">Subjects</font></b></p>     <p align="justify"><font face="Verdana" size="2">This is a pilot study which is  descriptive, observational and cross-sectional. Two hundred sixty seven women  between 20 and 40 years old who were assisted in nutritional care clinics (Belo  Horizonte, Brazil) were recruited. Exclusion criteria included pregnancy,  history of CHD, inflammatory or infectious disease, steroid use, hormone use  except for contraceptives or drugs not related to the treatment of diabetes  mellitus (8), hypertension and dyslipidemia. Among them, 189 women were eligible  for the study and 99 (52.4%) agreed to participate. The study was approved by  the Ethics Committees of the Federal University of Minas Gerais (ETIC217/08) and  was conducted in accordance with the ethical standards of the Declaration of  Helsinki. All subjects provided written informed consent.</font></p>     <p align="justify"><b><font face="Verdana" size="2">Adiposity measurements and  risk factors</font></b></p>     <p align="justify"><font face="Verdana" size="2">Trained health professionals  performed the data collection. Information regarding age, smoking, physical  activity, CHD family history, illnesses, and medications were collected. Smoking  at least one cigarette per day for the previous year was considered to be  current tobacco use (1). Regular exercise was classified as engaging in sports  or other exercise three or more times per week (9).</font></p>     <p align="justify"><font face="Verdana" size="2">Body mass index (BMI) was  calculated as weight in kilograms divided by height in square meters. Waist  circumference (WC) was measured at the midpoint between the last rib and iliac  crest (10). Body fat percentage was measured by bioelectrical impedance (Biodynamics  8.01, model 310, Brazil). Blood pressure was measured as previously recommended  (11).</font></p>     <p align="justify"><font face="Verdana" size="2">All individuals were instructed  to avoid alcohol, caffeine and cigarettes on the day before the blood collection  and anthropometric assessment. Blood samples were obtained from the antecubital  vein after 12h of fasting, and biochemical analysis of glucose, total  cholesterol, high-density lipoprotein cholesterol (HDL-c) and trilglycerols (TAG)  were performed using commercial kits (Labtest Diagnostica SA, Brazil). Low-density  lipoprotein cholesterol (LDL-c) was calculated using the Friedewald equation.  Kits for enzyme-linked immunosorbent assay were used to assess circulating  levels of interleukin (IL)-1&#946; and tumor necrosis factor-alpha (TNF-&#945;) (R &amp; D  Systems, Minneapolis, MN, USA), fibrinogen and high-sensitivity C-reactive  protein (hs-CRP) (Immunology Consultants Laboratory, Newberg, OR, USA).</font></p>     <p align="justify"><b><font face="Verdana" size="2">Definitions and outcomes</font></b></p>     ]]></body>
<body><![CDATA[<p align="justify"><font face="Verdana" size="2">Women were categorized as obese  according to BMI (BMI &#8805;30 kg/m2) and non-obese (BMI = 18.5- 29 kg/m2) and then  stratified into 3 groups: non-obese (n=41); obese with no MetS (n=30) and obese  with MetS (n=28).</font></p>     <p align="justify"><font face="Verdana" size="2">MetS was defined according to  the American Heart Association (10) as the presence of three or more of the  following conditions: abdominal obesity (WC &#8805;88 cm), low levels of HDL-c (&lt;50 mg/dL),  hypertriglyceridemia (&#8805;150 mg/dL), hypertension (systolic &#8805;130 mmHg, diastolic  &#8805;85 mmHg), altered blood fasting glucose (&#8805;100 mg/dL) or use of specific  medication for those alterations. Metabolically healthy women were defined as  those with no MetS criteria, except for increased WC. Traditional risk factors  for CHD was defined as described at The Adult Treatment Panel III, and the risk  of CHD over 10 years was estimated using the Framingham algorithm (12). Diabetes  mellitus was defined as plasma fasting glucose &#8805;126 mg/dL or use of insulin or  other hypoglycemic agents and categorized as a coronary event equivalent (12).</font></p>     <p align="justify"><b><font face="Verdana" size="2">Statistical analyses </font> </b></p>     <p align="justify"><font face="Verdana" size="2">The sample size was calculated  considering the prevalence of MetS and obesity in the Brazilian population (13)  and based on the requirements of a minimal significant difference equal to one  standard deviation and 90% power. A sample size of 27 patients per study group  was determined. </font></p>     <p align="justify"><font face="Verdana" size="2">The data were assessed by the  D'Agostino-Pearson test, following ANOVA, Bonferroni and t tests for parametric  data or Kruskal-Wallis, Dunn and Mann- Whitney tests for non parametric data.  Continuous variables were presented as media and standard error or median and  interquartile range. Categorical variables were represented as frequencies after  chi-square or Fisher exact test analyses. Spearman correlation coefficients were  calculated to evaluate correlations bet ween adiposity and risk factors. The  level of significance of 5% was considered significant.</font></p>     <p align="justify"><font face="Verdana" size="2">To avoid bias, women in use of  hypoglycemic and antihypertensive agents were excluded from analyses of  continuous variables and their correlations.</font></p>     <p align="justify"><font face="Verdana" size="2">In the following analysis, only  obese and non-obese metabolically healthy women with no alterations of blood  pressure, blood lipids and glucose were compared, 13 and 33 women in each group,  respectively.</font></p>     <p align="justify"><font face="Verdana" size="2">The data were analyzed using a  Minitab version 15 or GraphPad Prism software 7.0.</font></p>     <p align="justify"><b><font face="Verdana" size="2">RESULTS</font></b></p>     <p align="justify"><font face="Verdana" size="2">All 99 voluntaries completed  the experiment. The use of hypoglycemic drugs and contraceptives were similar  among groups, although the use antihypertensive agents were more frequent in  obese women with MetS group. None of the women were in use of antilipidemic  agents. The frequency of class I, II and II obesity were similar between obese  women’s groups and more than 65% were classified as class I obesity (data not  shown). All parameters not related to MetS as well as hs-CRP were similar  between both obese individuals’ groups (<a href="#tab1">Table 1</a>). TNF-&#945; was  not detected in subject from all groups.</font></p>     ]]></body>
<body><![CDATA[<p align="center"><a name="tab1"> <img border="0" src="/img/fbpe/alan/v62n3/art09tab1.gif" width="545" height="324"></a></p>     
<p align="justify"><font face="Verdana" size="2">Regarding the components of  MetS, diastolic and systolic blood pressures were statistically different among  three groups (<a href="#tab1">Table 1</a>). On the other hand, glycemia and HDL-c  levels were similar in both groups with no MetS and lower than those seen in  women with MetS. Despite its relevance as a component of MetS,  hypertriglyceridemia was similar in all groups (<a href="#tab1">Table 1</a>).  When all women, with and with no medications, were compared, the statistical  differences were kept the same for all parameters (data not shown).</font></p>     <p align="justify"><font face="Verdana" size="2">The frequency of hypertension  and increased WC were higher in obese individuals with no MetS compared to non-obese  group. Nonetheless, the frequencies of other MetS components (hypertriglyceridemia  and low HDL-c, hyperglycemia) were similar in non-obese and obese women with no  MetS (<a href="#tab2">Table 2</a>). The frequency of major cardiovascular risk  factors that were not components of MetS was also analyzed. Once again, nonobese  and obese women with no MetS presented similar results (<a href="#tab2">Table 2</a>).  High HDL-c, an atheroprotective factor, was seen only in non-obese and obese  women with no MetS groups. DM, smoking, LDL-c above optimal levels and physical  inactivity were similar among three groups (<a href="#tab2">Table 2</a>),  although positive family history of CHD strongly tended to be higher in obese  with MetS (p=0.058) compared to non-obese group.</font></p>     <p align="center"><a name="tab2"> <img border="0" src="/img/fbpe/alan/v62n3/art09tab2.gif" width="534" height="418"></a></p>     
<p align="justify"><font face="Verdana" size="2">The presence of MetS, as  expected, increased the probability of finding two or more risk factors for CHD.  Nevertheless, the frequency of two or more risk factors was similar in obese  with no MetS and nonobese groups. In the same way, 25% of obese women with MetS  had a high CHD risk according to Framingham Risk Score, while only 2.4% of non-obese  and 6.7% of obese women with no MetS presented such risk (<a href="#tab2">Table  2</a>). Likewise, Framingham Risk Score was not statistically different when  obese with no MetS and non-obese women were compared (<a href="#tab2">Table 2</a>).</font></p>     <p align="justify"><font face="Verdana" size="2">The Spearman correlation showed  that WC, a marker of visceral adiposity, was correlated to MetS components (blood  pressure, triacylglycerol, HDL-c) whilst also correlated to hs-CRP. The later  was the only inflammatory marker significantly correlated to WC (<a href="#fig1">Figure  1</a>). The total adiposity also correlated with these risk factors (data not  shown).</font></p>     <p align="center"><a name="fig1"> <img border="0" src="/img/fbpe/alan/v62n3/art09fig1.gif" width="561" height="410"></a></p>     
<p align="justify"><font face="Verdana" size="2">To explore the effect of  adiposity on cardiovascular risk, obese and non-obese women metabolically  healthy were compared. The results showed that far from anthropometric  parameters and blood pressure, only hs- CRP was statistically higher in obese  group (<a href="#tab3">Table 3</a>). The result of Spearman correlation showed  total adiposity was positively correlated to blood pressure and hs- CRP in  metabolically healthy women (<a href="#fig2">Figure 2</a>). WC correlated only  to blood pressure (data not shown).</font></p>     <p align="center"><a name="tab3"> <img border="0" src="/img/fbpe/alan/v62n3/art09tab3.gif" width="549" height="305"></a></p>     
<p align="center"><a name="fig2"> <img border="0" src="/img/fbpe/alan/v62n3/art09fig2.gif" width="568" height="222"></a></p>     
]]></body>
<body><![CDATA[<p align="justify"><b><font face="Verdana" size="2">DISCUSSION</font></b></p>     <p align="justify"><font face="Verdana" size="2">In the present study, young  women presenting obesity associated to MetS, obesity with no MetS and non-obese  were compared. It was evinced that obese individuals with no MetS presented CHD  risk factor levels and frequency closer to non-obese women.</font></p>     <p align="justify"><font face="Verdana" size="2">Between 37% and 40% of obese  women with no MetS presented hypertension and low HDL-c concentration,  respectively, while in those with MetS these numbers increased to 82% and 93%,  respectively. HDL-cholesterol is a common point linking MetS and CHD. More than  50% of the individuals participating in this study had low levels of HDL-c and  the frequency was similar in both groups with no MetS. Moreover, high HDL-c was  observed in obese individuals with no MetS and in non-obese groups (23.3 and  19.5%, respectively); however, it was absent in obese women with MetS. As a  consequence, there was a reduction in the number of risk factors in obese  individuals with no MetS group due to high HDL-c, an important atheroprotective  factor. Hypertriglyceridemia is an established cardiovascular risk factor,  however few women in our study had this metabolic alteration.</font></p>     <p align="justify"><font face="Verdana" size="2">Blood pressure was the only  parameter statistically different among the three groups. As in this study,  other studies have demonstrated the influence of obesity (14, 15) and visceral  fat (1) on hypertension. Thus, the adverse effects of increased visceral fat  content on vasodilatation, sodium reabsorption, sympathetic nervous system  activation (16) and increased expression of angiotensinogen (17) explain the  higher frequency of hypertension in both obese groups.</font></p>     <p align="justify"><font face="Verdana" size="2">The obese women with no MetS  had intermediate frequency of Framingham Risk Score classified as high; however,  it was about 3 times higher in the obese individuals with MetS group.  Nevertheless, similar results were seen by Kip et al. (14) using data from the  Women's Ischemia Syndrome Evaluation (WISE) study. They showed that obese women  with a normal metabolism have a low cardiovascular risk; whereas, lean women  with MetS have a high risk. Kip et al. (14) evinced that despite the strong  association between MetS and BMI, only MetS was significantly correlated with  CHD, suggesting that metabolic changes must have a more important role than  obesity in the risk stratification of CHD in women.</font></p>     <p align="justify"><font face="Verdana" size="2">The association between WC,  visceral adiposity, inflammation and atherosclerosis (1, 17) is well known. In  this study, WC correlated with blood pressure, HDL-c, TAG and hs-CRP but it was  not related to fibrinogen and IL-1&#946;, other important inflammatory markers. These  results are in agreement with other studies reporting the correlation of WC,  body fat and waist-to-hip ratio with hs-CRP (3, 18). The CRP is a sensitive  marker for systemic inflammation thus these findings suggest a state of low-grade  systemic inflammation in persons with excess body fat.</font></p>     <p align="justify"><font face="Verdana" size="2">The definition of metabolically  healthy obese (MHO) individuals is not unanimous (5, 6, 8, 19, 20) and,  consequently, its prevalence is still unknown (6, 8, 19, 21). The concept of MHO  subjects has generated doubts about the influence of adiposity in the CHD risk.  However, obese individuals who are not affected by MetS cannot be automatically  classified as MHO, since they could present up to two metabolic alterations  related to MetS. For this reason, in a second step, only metabolically healthy  obese and non-obese women were compared to evaluate the correlation of adiposity  per se and CHD risk factors. The results of this study evidenced that the  prevalence of metabolically healthy women was 43.3% among obese with no MetS and  80.5% among non-obese women. This data is in agreement with another study  analyzing 2,803 women that showed a prevalence of MHO ranging between 11.4 and  43.3% according to the MHO criteria used (21). Some reports have shown that  frequency of CHD events in MHO is comparable to the normal weight individuals  (6, 22). However, other studies showed that MHO patients still have some  increase of CHD risk compared to healthy non-obese individuals and will benefit  by weight loss treatment (7, 23).</font></p>     <p align="justify"><font face="Verdana" size="2">Comparing metabolically healthy  non-obese and obese individuals, glycemia, triglyceridemia, HDL-c, fibrinogen  and IL-1&#946; levels were similar among groups. It could be argued that the low  sample size of MHO women could limit the interpretation of the results of this  study; nevertheless, not even a trend was observed amongst data related to MetS  or adiposity comparing both metabolically healthy groups.</font></p>     <p align="justify"><font face="Verdana" size="2">The presence of obese  individuals who maintain a low cardiometabolic risk suggests that some obese  people are less responsive to increased secretion of adipokines or that their  ability of the adipose tissue to secrete adipokines is reduced (8, 24).</font></p>     <p align="justify"><font face="Verdana" size="2">Although studies have  demonstrated that MHO is linked to low cardiometabolic risk (8, 20), our results  do not suggest that MHO is a risk free condition, since adipose tissue expansion  was correlated to blood pressure and hs-CRP levels. Based on the results of this  study as well as other results (23, 25), perhaps MHO still carries a potential  risk of CHD, justifying the weight loss to get additional improvement of  cardiometabolic risk factors.</font></p>     ]]></body>
<body><![CDATA[<p align="justify"><b><font face="Verdana" size="2">CONCLUSIONS</font></b></p>     <p align="justify"><font face="Verdana" size="2">Obese women with no MetS  exhibited CHD risk similar to those seen in non-obese women. However, since  blood pressure and hs-CRP levels are still correlated to fat tissue expansion in  metabolically healthy women, this reinforces the role of obesity in the  development of CHD.</font></p>     <p align="justify"><b><font face="Verdana" size="2">REFERENCES</font></b></p>     <!-- ref --><p align="justify"><font face="Verdana" size="2">1. Fox CS, Massaro JM, Hoffmann  U, Pou KM, Maurovich- Horvat P, Liu CY, et al. Abdominal visceral and  subcutaneous adipose tissue compartments: association with metabolic risk  factors in the Framingham Heart Study. Circulation. 2007;116(1):39-48.</font>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=518156&pid=S0004-0622201200030000900001&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --><!-- ref --><p align="justify"><font face="Verdana" size="2">2. Murphy NF, MacIntyre K,  Stewart S, Hart CL, Hole D, McMurray JJ. Long-term cardiovascular consequences  of obesity: 20-year follow-up of more than 15 000 middle-aged men and women (the  Renfrew-Paisley study). Eur Heart J. 2006;27(1):96-106.</font>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=518157&pid=S0004-0622201200030000900002&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --><!-- ref --><p align="justify"><font face="Verdana" size="2">3. Visser M, Bouter LM,  McQuillan GM, Wener MH, Harris TB. Elevated C-reactive protein levels in  overweight and obese adults. JAMA. 1999;282(22):2131-5.</font>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=518158&pid=S0004-0622201200030000900003&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --><p align="justify"><font face="Verdana" size="2">4. Kurth T, Gaziano JM, Rexrode  KM, Kase CS, Cook NR, Manson JE, et al. Prospective study of body mass index and  risk of stroke in apparently healthy women. Circulation. 2005;111(15):1992-8.</font></p>     <p align="justify"><font face="Verdana" size="2">5. Brochu M, Tchernof A, Dionne  IJ, Sites CK, Eltabbakh GH, Sims EA, et al. What are the physical  characteristics associated with a normal metabolic profile despite a high level  of obesity in postmenopausal women? J Clin Endocrinol Metab. 2001;86(3):1020- 5.</font></p>     <p align="justify"><font face="Verdana" size="2">6. Calori G, Lattuada G,  Piemonti L, Garancini MP, Ragogna F, Villa M, et al. Prevalence, metabolic  features, and prognosis of metabolically healthy obese Italian individuals: the  Cremona Study. Diabetes Care. 2011;34(1):210-5.</font></p>     <p align="justify"><font face="Verdana" size="2">7. Primeau V, Coderre L,  Karelis AD, Brochu M, Lavoie ME, Messier V, et al. Characterizing the profile of  obese patients who are metabolically healthy. Int J Obes (Lond).  2011;35(7):971-81.</font></p>     ]]></body>
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