<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article  PUBLIC "-//NLM//DTD Journal Publishing DTD v3.0 20080202//EN" "http://dtd.nlm.nih.gov/publishing/3.0/journalpublishing3.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="3.0" xml:lang="en" article-type="research article"><front><journal-meta><journal-id journal-id-type="publisher-id">JDM</journal-id><journal-title-group><journal-title>Journal of Diabetes Mellitus</journal-title></journal-title-group><issn pub-type="epub">2160-5831</issn><publisher><publisher-name>Scientific Research Publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.4236/jdm.2014.44037</article-id><article-id pub-id-type="publisher-id">JDM-50562</article-id><article-categories><subj-group subj-group-type="heading"><subject>Articles</subject></subj-group><subj-group subj-group-type="Discipline-v2"><subject>Medicine&amp;Healthcare</subject></subj-group></article-categories><title-group><article-title>
 
 
  Long Lasting Effects of Breastfeeding on Metabolism in Women with Prior Gestational Diabetes
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>uca</surname><given-names>Mattei</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref><xref ref-type="corresp" rid="cor1"><sup>*</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Antonietta</surname><given-names>Colatrella</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Olimpia</surname><given-names>Bitterman</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Paola</surname><given-names>Bianchi</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Chiara</surname><given-names>Giuliani</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Giona</surname><given-names>Roma</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Camilla</surname><given-names>Festa</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Gianluca</surname><given-names>Merola</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Vincenzo</surname><given-names>Toscano</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Angela</surname><given-names>Napoli</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib></contrib-group><aff id="aff1"><addr-line>Faculty of Medicine and Psychology, Sapienza University of Rome, Rome, Italy</addr-line></aff><author-notes><corresp id="cor1">* E-mail:<email>mluca982@hotmail.it(UM)</email>;</corresp></author-notes><pub-date pub-type="epub"><day>16</day><month>10</month><year>2014</year></pub-date><volume>04</volume><issue>04</issue><fpage>257</fpage><lpage>263</lpage><history><date date-type="received"><day>7</day>	<month>August</month>	<year>2014</year></date><date date-type="rev-recd"><day>5</day>	<month>September</month>	<year>2014</year>	</date><date date-type="accepted"><day>1</day>	<month>October</month>	<year>2014</year></date></history><permissions><copyright-statement>&#169; Copyright  2014 by authors and Scientific Research Publishing Inc. </copyright-statement><copyright-year>2014</copyright-year><license><license-p>This work is licensed under the Creative Commons Attribution International License (CC BY). http://creativecommons.org/licenses/by/4.0/</license-p></license></permissions><abstract><p>
 
 
  Background &amp; Aims: Breastfeeding improves glucose tolerance in the early postpartum period of women with prior gestational diabetes GDM, but it is unclear whether future risk of metabolic alterations, like type 2 diabetes, is reduced. The aim of this study was to investigate the effect of lactation, three years after pregnancy, on glucose and lipid metabolism in women with prior gestational diabetes. Materials &amp; Methods: A population of women with prior gestational diabetes (Carpenter and Coustan Criteria) was evaluated with comparison of results for “lactating” [BF] versus “nonlactating women” [non BF]. Breast feeding was defined [BF] if lasting? 4 weeks. In each woman a 75-g oral glucose tolerance test (OGTT) was performed to analyze the glucose tolerance, insulin sensitivity/resistance and b-cell function. Fasting serum was used to study their lipid profile (total cholesterol, high-density lipoprotein [HDL] cholesterol, low-density lipoprotein [LDL] cholesterol, and triglycerides), apolipoprotein B, apolipoprotein A1, homocysteine, fibrinogen, hsCRP, uric acid, microalbuminuria. Statistics: Paired and Un-paired t-test, Mann-Whitney and
   
  χ
  <sup>2</sup>
   
  tests were used, as appropriate. Results: A total of 81 women were evaluated (62 [BF] and 19 [non BF]). Maternal age (37.1
   
  &#177;
   
  4.6 vs 37.4
   
  &#177;
   
  4.9 years), body mass index (26.3
   
  &#177;
   
  5.6 vs 26.4
   
  &#177;
   
  5.3 kg/m
  <sup>2</sup>
  ), parity (1.9
   
  &#177;
   
  0.8 vs 1.7
   
  &#177;
   
  0.8) and length of follow-up (32.2
   
  &#177;
   
  20.2 vs 32.1&#177;
   
  20,0) were not different between the two groups. No effect was visible on glucose tolerance, HOMA-IR and other b-cell function indexes as well as hs-CRP (not significantly lower in non BF), uric acid, total cholesterol, HDL and LDL cholesterol. Levels of significance were only reached for “HOMA-IS” [BF] 1.0
   
  &#177;
   
  0.7 vs [non BF] 0.6
   
  &#177;
   
  0.4, p = 0.04) and triglycerides [BF] 83.8
   
  &#177;46.7 vs [non BF] 123.2
   
  &#177;
   
  94.0 mg/dl, p = 0.02). Conclusions: Breastfeeding does not improve the glucose tolerance of our women with prior GDM three years after delivery, even though lower levels of triglycerides and improved insulin sensitivity are still visible.
 
</p></abstract><kwd-group><kwd>Breastfeeding</kwd><kwd> Gestational Diabetes</kwd><kwd> Metabolism</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Background</title><p>Gestational diabetes mellitus (GDM) is common and transient glucose intolerance, first diagnosed during preg- nancy and often resolving at delivery. However, women with GDM have an increased risk for postpartum ab- normalities in insulin secretion and insulin action, as well as type 2 diabetes [<xref ref-type="bibr" rid="scirp.50562-ref1">1</xref>] .</p><p>In these women, a deficit in insulin secretion/action may be observed even if post-partum glucose tolerance is normal, as well as different levels of insulin resistance [<xref ref-type="bibr" rid="scirp.50562-ref2">2</xref>] .</p><p>Therefore, a “healthy” lifestyle and/or the presence of other risk factors after pregnancy can influence the chance of developing diabetes later in life [<xref ref-type="bibr" rid="scirp.50562-ref3">3</xref>] .</p><p>Breastfeeding is recommended by many health agencies as the best method to feed infants for at least one year after birth, because of its multiple immediate and long-term benefits for both child and mother (infectious diseases, obesity, immune-related diseases; breast cancer) [<xref ref-type="bibr" rid="scirp.50562-ref4">4</xref>] .</p><p>Breastfeeding confers health benefits to women with a history of GDM in terms of glucose tolerance in the early postpartum period [<xref ref-type="bibr" rid="scirp.50562-ref5">5</xref>] , but it’s unclear whether future risk of type 2 diabetes is reduced [<xref ref-type="bibr" rid="scirp.50562-ref6">6</xref>] [<xref ref-type="bibr" rid="scirp.50562-ref7">7</xref>] .</p><p>A 2001 study found that within a matched population of women with a history of GDM, three months of breastfeeding was associated to improved pancreatic beta-cell function, but not to any significant difference in glucose tolerance, adipose tissue mass, or adipose distribution [<xref ref-type="bibr" rid="scirp.50562-ref8">8</xref>] .</p><p>The primary aim of this study was to investigate the effect of breastfeeding on glucose metabolism as well as on beta cell function in women with prior GDM, three years after pregnancy.</p><p>The secondary aim was to evaluate in these women lipid and inflammatory profile and the prevalence of me- tabolic syndrome (M.S.).</p></sec><sec id="s2"><title>2. Patients and Methods</title><p>Women were successively recruited from January 2007 to December 2009 in our ‘Diabetes in Pregnancy” out- patient’s office, at S. Andrea Hospital of “Sapienza” University, Rome.</p><p>A cohort of 81 women, three years after a pregnancy complicated by GDM (diagnosed through Carpenter &amp; Coustan Criteria) [<xref ref-type="bibr" rid="scirp.50562-ref9">9</xref>] , with negative anti GAD antibodies at diagnosis, was evaluated according to their breast- feeding habits. Also patients with just one altered value in the OGTT [defined OAV (“one abnormal value”)] had been considered [<xref ref-type="bibr" rid="scirp.50562-ref10">10</xref>] .</p><p>None of the women was treated with medications and/or substances potentially conditioning metabolism at the moment of follow up.</p><p>Arbitrarily, we defined breastfeeding only if lactation duration was longer than four weeks.</p><p>Other parameters evaluated at follow up visit were: age, follow up length (measured as months after delivery), BMI (kg/m<sup>2</sup>), waist circumference (cm), systolic and diastolic blood pressure, conventionally measured (mmHg) and familiarity for type 2 diabetes.</p><p>Laboratory parameters studied were: total, LDL and HDL-cholesterol, triglycerides, Apo lipoprotein B, Apo lipoprotein A1, homocysteine, fibrinogen, hs-CRP, uric acid, TSH, micro albuminuria.</p><p>At follow up visit, in the morning, after an overnight fasting period of at least eight hours, all patients per- formed a 75 g OGTT for glycaemia and insulin (samples at 0’, 30’ 60’, 90’ and 120’). All blood samples were analysed in the same laboratory in our university hospital. Plasma glucose levels were determined with a Beck- man Glucose Analyzer 2 by glucose oxidase method, and plasma insulin concentration was measured by radio- immunoassay.</p><p>Women were defined normal, IFG (impaired fasting glucose), IGT (impaired glucose tolerance) or diabetic, through basal glucose measurements &#177; OGTT according to ADA diagnostic criteria [<xref ref-type="bibr" rid="scirp.50562-ref11">11</xref>] .</p><p>Insulin sensitivity and secretion indexes were obtained using plasma glucose and insulin values in the OGTT; insulin sensitivity was estimated using HOMA and HOMA calculator [<xref ref-type="bibr" rid="scirp.50562-ref12">12</xref>] and ISI as proposed by Matsuda et al. [<xref ref-type="bibr" rid="scirp.50562-ref13">13</xref>] . To evaluate β-cell secretion, we considered an insulinogenic index expressed as Ins30’/Glic30’, a surro- gate of the first phase of insulin secretion, and the areas under glucose and insulin curves (AUC), calculated by a trapezoidal method [<xref ref-type="bibr" rid="scirp.50562-ref14">14</xref>] . Disposition index was used as β-cell function index [<xref ref-type="bibr" rid="scirp.50562-ref15">15</xref>] .</p><p>Metabolic syndrome and hypertension were defined by ATP III 2004 criteria [<xref ref-type="bibr" rid="scirp.50562-ref16">16</xref>] .</p><p>All the biochemical tests were performed in Sant’ Andrea university hospital laboratory, in Rome.</p><sec id="s2_1"><title>2.1. Statistic</title><p>We used Paired &amp; Un-Paired t-test, Mann-Whitney &amp; χ<sup>2</sup> tests. Data concerning glucose profile are expected to follow a normal distribution and are expressed in terms of their mean and standard deviation.</p></sec><sec id="s2_2"><title>2.2. Informed Consent</title><p>According to our usual practice, a written informed consent was obtained by all the women attending our out- patient’s office at the first visit in pregnancy, later confirmed after delivery and at the moment of the last clinical and metabolic evaluation.</p></sec></sec><sec id="s3"><title>3. Results</title><sec id="s3_1"><title>3.1. General Characteristics</title><p>A cohort of 81 women was followed up about three years after delivery (32.2 &#177; 20.2 months after delivery). Ac- cording to our definition of breastfeeding habit, 62 women were classified as breastfeeding only [BF] and 19 as not-breastfeeding [non-BF]. At the follow up visit none of the women was still lactating.</p><p>The two groups were similar in terms of follow up length, age, parity, number of children, smoking habit, type 2 diabetes familiarity in first-degree relatives. On average, women breastfed for 25.5 &#177; 19.2 weeks (range 4 - 96 weeks). Regarding anthropometric parameters, there were no differences in BMI and waist circumference (<xref ref-type="table" rid="table1">Table 1</xref>).</p></sec><sec id="s3_2"><title>3.2. Glycaemic Homeostasis</title><p>According to the number of glucose alteration in the OGTT performed in pregnancy, BF group included 46 GDM and 16 OAV, while non-BF group included 14 GDM and 5 OAV. Moreover, 63% BF and 78% non-BF women (χ<sup>2</sup>, ns) required insulin treatment.</p><p>At follow up, no difference was found in glucose and insulin levels at each time point in the OGTT. Among non-BF women, 13 (68.4%) were normal, 4 (21.0%) were IFG, 1 (5.3%) was diabetic and 1 was IGT/IFG (5.3%); among BF women 44 (71.0%) were normal, 5 was IFG (8.0%), 6 were IGT (9.7%), and 7 were diabetic (11.3%) (χ<sup>2</sup>, ns). These two groups were similar in terms of insulin resistance indexes, except for HOMA-IS (BF 1.0 &#177; 0.7 vs non-BF 0.6 &#177; 0.4, p = 0.04). No differences were found in insulinogenic index and disposition index (<xref ref-type="table" rid="table2">Table 2</xref>).</p><table-wrap id="table1" ><label><xref ref-type="table" rid="table1">Table 1</xref></label><caption><title> General characteristics</title></caption><table><tbody><thead><tr><th align="center" valign="middle" ></th><th align="center" valign="middle" >BF n = 62/81</th><th align="center" valign="middle" >non-BF n = 19/81</th><th align="center" valign="middle" >p</th></tr></thead><tr><td align="center" valign="middle" >Follow up length (months)</td><td align="center" valign="middle" >32.2 &#177; 20.2</td><td align="center" valign="middle" >32.1 &#177; 20.0</td><td align="center" valign="middle" >0.86</td></tr><tr><td align="center" valign="middle" >Age (y)</td><td align="center" valign="middle" >37.1 &#177; 4.6</td><td align="center" valign="middle" >37.2 &#177; 5.1</td><td align="center" valign="middle" >0.89</td></tr><tr><td align="center" valign="middle" >Parity (n)</td><td align="center" valign="middle" >2.3 &#177; 1.1</td><td align="center" valign="middle" >2.1 &#177; 1.0</td><td align="center" valign="middle" >0.39</td></tr><tr><td align="center" valign="middle" >Number of child (n)</td><td align="center" valign="middle" >1.9 &#177; 0.89</td><td align="center" valign="middle" >1.68 &#177; 0.88</td><td align="center" valign="middle" >0.31</td></tr><tr><td align="center" valign="middle" >Smoking habit (%)</td><td align="center" valign="middle" >15</td><td align="center" valign="middle" >25</td><td align="center" valign="middle" >0.85</td></tr><tr><td align="center" valign="middle" >DMT2 familiarity (%)</td><td align="center" valign="middle" >53.3</td><td align="center" valign="middle" >47.1</td><td align="center" valign="middle" >0.64</td></tr><tr><td align="center" valign="middle" >BMI (kg/m<sup>2</sup>)</td><td align="center" valign="middle" >26.3 &#177; 5.6</td><td align="center" valign="middle" >26.4 &#177; 5.3</td><td align="center" valign="middle" >0.86</td></tr><tr><td align="center" valign="middle" >Waist circumference (cm)</td><td align="center" valign="middle" >87.5 &#177; 10.4</td><td align="center" valign="middle" >83.5 &#177; 10.3</td><td align="center" valign="middle" >0.20</td></tr></tbody></table></table-wrap><table-wrap id="table2" ><label><xref ref-type="table" rid="table2">Table 2</xref></label><caption><title> Glycaemic homeostasis</title></caption><table><tbody><thead><tr><th align="center" valign="middle" ></th><th align="center" valign="middle" >BF n = 62/81</th><th align="center" valign="middle" >non-BF n = 19/81</th><th align="center" valign="middle" >p</th></tr></thead><tr><td align="center" valign="middle" >OGTT 0</td><td align="center" valign="middle" >90.1 &#177; 16.4</td><td align="center" valign="middle" >92.2 &#177; 8.9</td><td align="center" valign="middle" >0.61</td></tr><tr><td align="center" valign="middle" >OGTT 30</td><td align="center" valign="middle" >142.5 &#177; 34.3</td><td align="center" valign="middle" >140.1 &#177; 40.1</td><td align="center" valign="middle" >0.82</td></tr><tr><td align="center" valign="middle" >OGTT 60</td><td align="center" valign="middle" >140.7 &#177; 42.4</td><td align="center" valign="middle" >124.0 &#177; 33.0</td><td align="center" valign="middle" >0.16</td></tr><tr><td align="center" valign="middle" >OGTT 90</td><td align="center" valign="middle" >113.6 &#177; 36.8</td><td align="center" valign="middle" >107.0 &#177; 32.1</td><td align="center" valign="middle" >0.54</td></tr><tr><td align="center" valign="middle" >OGTT 120</td><td align="center" valign="middle" >101.5 &#177; 28.1</td><td align="center" valign="middle" >101.2 &#177; 26.9</td><td align="center" valign="middle" >0.97</td></tr><tr><td align="center" valign="middle" >OGTT alteration (%) DM/IFG/IGT (n˚)</td><td align="center" valign="middle" >29 7 DM, 5 IFG, 6 IGT</td><td align="center" valign="middle" >31.6 1 DM, 4 IFG, 1 IFG/IGT</td><td align="center" valign="middle" >0.34</td></tr><tr><td align="center" valign="middle" >Homa-IR</td><td align="center" valign="middle" >2.2 &#177; 3.9</td><td align="center" valign="middle" >2.7 &#177; 2.7</td><td align="center" valign="middle" >0.64</td></tr><tr><td align="center" valign="middle" >ISI</td><td align="center" valign="middle" >8.1 &#177; 4.2</td><td align="center" valign="middle" >6.8 &#177; 3.6</td><td align="center" valign="middle" >0.34</td></tr><tr><td align="center" valign="middle" >Homa-IS</td><td align="center" valign="middle" >1.0 &#177; 0.7</td><td align="center" valign="middle" >0.6 &#177; 0.4</td><td align="center" valign="middle" >0.04</td></tr><tr><td align="center" valign="middle" >Insulinogenic index</td><td align="center" valign="middle" >14.1 &#177; 14.0</td><td align="center" valign="middle" >11.7 &#177; 29.9</td><td align="center" valign="middle" >0.68</td></tr><tr><td align="center" valign="middle" >AUCIRI/AUCBG</td><td align="center" valign="middle" >0.3 &#177; 0.2</td><td align="center" valign="middle" >0.4 &#177; 0.2</td><td align="center" valign="middle" >0.80</td></tr><tr><td align="center" valign="middle" >Disposition index</td><td align="center" valign="middle" >2.5 &#177; 1.08</td><td align="center" valign="middle" >1.96 &#177; 0.62</td><td align="center" valign="middle" >0.78</td></tr><tr><td align="center" valign="middle" >Cholesterol (mg/dl)</td><td align="center" valign="middle" >191.9 &#177; 37.7</td><td align="center" valign="middle" >203.4 &#177; 40</td><td align="center" valign="middle" >0.31</td></tr><tr><td align="center" valign="middle" >HDL (mg/dl)</td><td align="center" valign="middle" >55.9 &#177; 14.7</td><td align="center" valign="middle" >55.7 &#177; 15.4;</td><td align="center" valign="middle" >0.95</td></tr><tr><td align="center" valign="middle" >LDL (mg/dl)</td><td align="center" valign="middle" >116.3 &#177; 40.7</td><td align="center" valign="middle" >120.3 &#177; 29.6</td><td align="center" valign="middle" >0.76</td></tr><tr><td align="center" valign="middle" >Triglycerides (mg/dl)</td><td align="center" valign="middle" >83.8 &#177; 46.7</td><td align="center" valign="middle" >123.2 &#177; 94.0</td><td align="center" valign="middle" >0.03 Mann-Whitney</td></tr><tr><td align="center" valign="middle" >ApoA1 (mg/dl)</td><td align="center" valign="middle" >147.6 &#177; 22.9</td><td align="center" valign="middle" >150 &#177; 37.9</td><td align="center" valign="middle" >0.79</td></tr><tr><td align="center" valign="middle" >ApoB (mg/dl)</td><td align="center" valign="middle" >93.13 &#177; 25.8</td><td align="center" valign="middle" >106.8 &#177; 23.6</td><td align="center" valign="middle" >0.13</td></tr><tr><td align="center" valign="middle" >ApoB/ApoA1</td><td align="center" valign="middle" >0.65 &#177; 0.23</td><td align="center" valign="middle" >0.73 &#177; 0.16</td><td align="center" valign="middle" >0.31</td></tr><tr><td align="center" valign="middle" >hs-CRP (mg/L)</td><td align="center" valign="middle" >0.5 &#177; 0.7</td><td align="center" valign="middle" >2.3 &#177; 6.2</td><td align="center" valign="middle" >0.08</td></tr><tr><td align="center" valign="middle" >Homocysteine (&#181;moli/L)</td><td align="center" valign="middle" >8.6 &#177; 3.2</td><td align="center" valign="middle" >7.9 &#177; 2.3</td><td align="center" valign="middle" >0.52</td></tr><tr><td align="center" valign="middle" >Systolic (mmHg)</td><td align="center" valign="middle" >112.17 &#177; 15.7</td><td align="center" valign="middle" >110 &#177; 11.9</td><td align="center" valign="middle" >0.66</td></tr><tr><td align="center" valign="middle" >Diastolic (mmHg)</td><td align="center" valign="middle" >71.6 &#177; 10.6</td><td align="center" valign="middle" >72.6 &#177; 9.2</td><td align="center" valign="middle" >0.73</td></tr><tr><td align="center" valign="middle" >MS/ATPIII (%)</td><td align="center" valign="middle" >50.0</td><td align="center" valign="middle" >27.7</td><td align="center" valign="middle" >0.67</td></tr></tbody></table></table-wrap></sec><sec id="s3_3"><title>3.3. Lipidic Profile</title><p>There were no differences in total cholesterol, HDL and LDL levels between the two groups. Significant lower triglycerides values were observed in BF women (BF 83.8 &#177; 46.7 vs non-BF 123.2 &#177; 94.0 mg/dl; p = 0.03, Mann Whitney) (<xref ref-type="table" rid="table2">Table 2</xref>).</p></sec><sec id="s3_4"><title>3.4. Inflammatory Markers</title><p>There were no differences in inflammatory markers: hs-CRP, homocysteine. We did not find any difference in ApoA1 and ApoB values and ApoB/ApoA1 ratio (<xref ref-type="table" rid="table2">Table 2</xref>).</p></sec><sec id="s3_5"><title>3.5. Blood Pressure and Metabolic Syndrome</title><p>We did not found significant differences either in systolic or diastolic blood pressure values.</p><p>No difference was observed in prevalence of MS (<xref ref-type="table" rid="table2">Table 2</xref>).</p></sec></sec><sec id="s4"><title>4. Discussion</title><p>According to our results, breastfeeding has no long term impact on glucose tolerance in women with prior GDM. Three years after delivery, OGTT glycaemic levels were similar at each time point in the two groups, as well as insulin resistance and secretion indexes. These results are partially explained by the fact that more than 60% of the studied population needed insulin treatment. An improvement in metabolic profile is observed in breast- feeding women with mild GDM [<xref ref-type="bibr" rid="scirp.50562-ref5">5</xref>] .</p><p>However, HOMA-IS index still suggests a protective role of breastfeeding on insulin sensitivity; while the other insulin sensitivity indexes show a similar trend, without reaching the level of significance.</p><p>Many studies investigated the role of breast-feeding early after delivery. McManus et al. demonstrated a greater beta-cell compensation to insulin resistance, associated to lower OGTT glycaemic levels, in women with recent GDM still BF, three months after delivery. The same authors did not find any significant difference in adipose tissue mass or distribution through CT [<xref ref-type="bibr" rid="scirp.50562-ref8">8</xref>] . These results are likely to be due to a higher glucose con- sumption for milk production through a non insulin-related pathway. Therefore, a reduction in glucose stimula- tion on beta-cells could potentially prevent progression towards type 2 diabetes, as observed by Kjos, who showed a lower diabetes prevalence in BF women (4.2% BF vs 9.4% non-BF). Moreover, despite diabetes was more frequent in women who needed insulin therapy during pregnancy, breast feeding was still a protective fac- tor at follow up, so that in insulin treated group 12.6% of “BF” resulted affected from diabetes compared to 22% of “non-BF” [<xref ref-type="bibr" rid="scirp.50562-ref5">5</xref>] .</p><p>Recently, the “Atlantic DIP Study” confirmed the protective role of breastfeeding 12 weeks after delivery in a cohort of women from five Irish regions, 300 with previous GDM and 220 with normal glucose tolerance in pregnancy. In the OGTT performed after pregnancy, 19% of the women with previous GDM vs 2.7% of con- trols had an impaired glucose tolerance, with 8.2% reduction of “persistent hyperglycaemia” in BF vs non-BF. Risk factors were non-European ethnic group, type diabetes family history, higher BMI and insulin therapy in pregnancy, while breastfeeding had a protective role [<xref ref-type="bibr" rid="scirp.50562-ref17">17</xref>] .</p><p>There are few follow-up studies investigating if the protective effect of lactation on late development of insu- lin resistance and insulin secretion defects persists after weaning. Diniz did not observe any association between breastfeeding duration and insulin sensitivity in 67 women from health population evaluated 12 and 18 months after delivery [<xref ref-type="bibr" rid="scirp.50562-ref18">18</xref>] . Chouinard-Castonguay showed that a total breastfeeding period of at least ten months leads to improved glucose tolerance as well as improved insulin sensitivity and insulin secretion [<xref ref-type="bibr" rid="scirp.50562-ref19">19</xref>] .</p><p>The “Nurses Health Study”, a prospective observational cohort study on 83,585 parous women, and the “Nurses Health Study II”, a retrospective observational cohort study on 73,418 parous women, showed that long lasting breastfeeding, particularly if exclusive, is associated to a fifteen percent decrease of type 2 diabetes risk, for each additional year. However, the same studies failed to find any protective effect of breastfeeding on dia- betes risk, in women with a history of gestational diabetes [<xref ref-type="bibr" rid="scirp.50562-ref20">20</xref>] .</p><p>Two studies on Latin American women with previous GDM, showed that diabetes diagnosis were halved in breastfeeding patient 4 - 12 weeks after delivery, but not after 11 - 26 months [<xref ref-type="bibr" rid="scirp.50562-ref21">21</xref>] [<xref ref-type="bibr" rid="scirp.50562-ref22">22</xref>] .</p><p>Ziegler and colleagues prospectively investigated the impact of breastfeeding on diabetes outcome in women with prior GDM up to 19 years after delivery and observed a &gt;40% long term risk reduction. Diabetes risk was related to treatment received during pregnancy (insulin vs diet), BMI, and presence/absence of islet autoanti- bodies. Among islet autoantibody-negative women, breastfeeding was associated to a median period to diabetes diagnosis of 12.3 years compared to 2.3 years in women who did not breastfeed. The lowest postpartum diabetes risk was observed in women who breastfed for 3 months [<xref ref-type="bibr" rid="scirp.50562-ref23">23</xref>] .</p><p>Recently, a systematic review shows a 9% reduction in relative risk for developing T2DM for each 12-month increase in lifetime duration of breastfeeding and this inverse association appears to be independent of other important risk factors for type 2 diabetes, including BMI, smoking, alcohol, physical activity, education, income, parity and family history of diabetes [<xref ref-type="bibr" rid="scirp.50562-ref24">24</xref>] .</p><p>In our study, breastfeeding was not correlated either to type 2 diabetes or any alteration of glucose tolerance (IGT and/or IFG and/or Diabetes), as well as to BMI and the other investigated risk factors.</p><p>Several studies demonstrated that lipid panel can be modified by breastfeeding [<xref ref-type="bibr" rid="scirp.50562-ref5">5</xref>] . Kjos et al. found higher HDL cholesterol levels in BF women with previous GDM, 4 - 12 weeks after delivery. In our study lower tri- glycerides levels were found in “BF women”, with no difference in total, HDL and LDL cholesterol.</p><p>Gunderson et al. noted an inverse association between breastfeeding and metabolic syndrome incidence in women with previous GDM; in particular, the incidence rate of metabolic syndrome was 6 fold lower when women breastfed at least nine months [<xref ref-type="bibr" rid="scirp.50562-ref25">25</xref>] . Our results do not confirm the protective role of breastfeeding on metabolic syndrome, by contrast of what observed by the “CARDIA Study”, 20 years after delivery.</p><p>Two-thirds of our population is breastfed exclusively. Recently, Matias et al. demonstrated that maternal obe- sity, insulin treatment, and suboptimal in-hospital breastfeeding were essential risk factors for delayed lacto- genesis onset [<xref ref-type="bibr" rid="scirp.50562-ref26">26</xref>] .</p><p>Finally, as ours is a retrospective study, we do not have data about some of the many variables affecting me- tabolic syndrome risk, such as physical activity and food habits, during follow-up. However, all the women had received general recommendations about lifestyle to prevent metabolic diseases.</p></sec><sec id="s5"><title>5. Conclusions</title><p>Breastfeeding protective role on metabolic profile in women with previous GDM is still evident in a long-term follow up study.</p><p>All the available resources should be used already in pregnancy to implement education programs [<xref ref-type="bibr" rid="scirp.50562-ref27">27</xref>] .</p></sec><sec id="s6"><title>NOTES</title></sec></body><back><ref-list><title>References</title><ref id="scirp.50562-ref1"><label>1</label><mixed-citation publication-type="other" xlink:type="simple">Bellamy, L., Casas, J.P., Hingorani, A.D. and Williams, D. (2009) Type 2 Diabetes Mellitus after Gestational Diabetes: A Systematic Review and Meta-Analysis. Lancet, 373, 1773-1779. http://dx.doi.org/10.1016/S0140-6736(09)60731-5</mixed-citation></ref><ref id="scirp.50562-ref2"><label>2</label><mixed-citation publication-type="other" xlink:type="simple">Retnakaran, R., Qi, Y., Sermer, M., Connelly, P.W. and Hanley, A.J.G. and Zinman, B. 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