Abstract
The nutrient composition of breast milk alters during lactation, and maternal BMI adds more intricacy into its complexity. We aimed to compare leptin, ghrelin, adiponectin and insulin-like growth factor-1 (IGF-1) levels of pre-feed and post-feed breast milk in mothers with obesity and normal weight, and tried to determine their effects on infants’ growth over weight for length z-score. Twenty obese and twenty normal weight mothers with 2-month-old infants were enrolled in this case–control study. Five millilitre pre-feed breast milk and 5 ml post-feed breast milk were collected. Breast milk leptin, ghrelin, adiponectin and IGF-1 were measured by commercial kits. The pre-feed breast milk of mothers with obesity had significantly higher levels of ghrelin than mothers with normal weight (P = 0·025), whereas the post-feed breast milk of mothers with normal weight had higher levels of adiponectin than the mothers with obesity (P = 0·010). No significant differences were observed in leptin and IGF-1 levels between the two groups. Post-feed breast milk IGF-1 levels of mothers with obesity were correlated with infant’s weight for length z-score at 2 months (r −0·476; P = 0·034). In linear regression models, parity affected the ghrelin in pre-feed breast milk (P = 0·025). Our results revealed that maternal pre-pregnancy BMI was associated with breast milk components.
Key words: Breast milk, Pre-pregnancy BMI, Appetite hormones, Pre-feed breast milk, Post-feed breast milk
Childhood obesity is considered to be one of the most important public health problems of the twenty-first century. While the number of children and adolescents affected by obesity was 11 million in 1975, it became 124 million in 2016(1). The number of overweight children under 5, which was 33·3 million at the beginning of the new millennium, has reached 38·9 million in 2020(2). Previous studies investigating the reasons for childhood obesity found pre-pregnancy BMI and excessive weight gain during pregnancy as significant factors for increasing obesity frequencies in newborns(3–5). Maternal obesity affects both the mother and the newborn, as well as the newborn’s health status in adulthood(6,7). Having an obese BMI before pregnancy increases the risks of obesity, CVD, diabetes mellitus and cancer in the adult life of newborns(8). Additionally, it has been argued that maternal obesity might affect breast milk composition(9). Since breast milk is essential for infant nutrition, weight gain in infancy depends on breast milk intake(10). The composition of breast milk is important, as rapid weight gain during infancy is a significant predictor of adiposity in later life(11).
Breast milk is the optimal food source for newborns since it contains not only all micro and macro nutrients but also non-nutritional components such as hormones, antibodies and bioactive molecules. Moreover, breast milk has a dynamic composition that supports the nutritional requirements, appropriate growth, immune protection and physiological development of newborns(12). On the other hand, its unique composition is extremely complex and hard to evaluate. Diurnal varieties, breast-feeding stage and many other factors contribute to this complexity. For instance, pre-feed breast milk is quite different from post-feed breast milk, whereas colostrum, transition and mature milk were disparate(13).
Appetite regulating hormone levels help create a satiety signal, which terminates breast-feeding(14). The primary appetite regulating hormones in breast milk, as demonstrated by previous research, are adiponectin, leptin, ghrelin, peptide tyrosine-tyrosine and glucagon-like peptide-1(14–17). Moreover, it has been determined that insulin-like growth factor-1 (IGF-1), an anabolic hormone that is structurally and metabolically similar to insulin, is also found in breast milk. Its increased levels in breast milk were associated with rapid growth and obesity at later ages(16). The sum of these hormones may play an important role in the regulation of acute and long-term appetite and growth of infants(12,17).
The existing studies have some consensus regarding the effects of maternal BMI on breast milk leptin levels(18). However, there is no consensus on how maternal BMI affects breast milk ghrelin, adiponectin and IGF-1 levels. Moreover, according to our literature review, there is also no previous study that investigates the effect of maternal BMI on the above-mentioned hormones altogether. Thus, this study aims to compare leptin, ghrelin, adiponectin and IGF-1 levels of pre-feed and post-feed breast milk in mothers with obesity and normal weight. Moreover, we also endeavoured to determine whether there is a relationship between leptin, ghrelin, adiponectin and IGF-1 levels in breast milk and early infant growth.
Methods
Study population and research plan
This case–control study was conducted with forty volunteer mothers who had 60 d old ((sd 10) d) newborns and fed only by breast milk since the delivery. Half of the mothers were normal pre-pregnancy BMI (18·50–24·99 kg/m2), and the other half were obese (BMI > 30 kg/m2) according to WHO BMI classification(19). Participants were enrolled during their visit to Child Health and Diseases, Hematology, Oncology Training and Research Hospital for the second-month follow-up of their babies. Inclusion criteria of this study are having a healthy baby, giving vaginal delivery, delivering between 37th and 42nd weeks of pregnancy and delivering over a 2500-g baby. Any maternal health problem that might affect the breast-feeding or study results, smoking habit or alcohol consumption, pregnancy with multiples, delivering under a 2500-g baby and having preeclampsia or gestational diabetes history during pregnancy were determined as exclusion criteria. Before participating in the study, all volunteers were informed about the study and signed a written consent form. The study was conducted according to the guidelines laid down in the Declaration of Helsinki, and all procedures were approved by the Hacettepe University Non-Interventional Clinical Research Ethical Board (GO 17/843-13).
A brief study questionnaire that included socio-demographic characteristics and anthropometric measurements was applied to mothers through face-to-face interviews. After cleaning the areola, 5 ml pre-feed breast milk was collected and the mothers were asked to keep breast-feeding their infants for about 8–10 min, provided by the mother’s perceived milk availability and the infant’s feeding rate. Following the breast-feeding, 5 ml post-feed breast milk was collected from the same breast(20). Breast milk was collected between 09.00 and 11.00 hours from the breast that was not used during the last breast-feeding using a Medela Swing Maxi electric breast pump into plastic bottles. All bottles were cleaned in warm, soapy water and sterilised after each usage. Collected breast milk was centrifuged and stored at –80°C after the fat layer was removed.
Anthropometric measurements
Anthropometric measurements were taken on the same day. Pre-pregnancy body weight, weight gain during pregnancy, body weight at and after delivery were recorded from patient history forms. Maternal height was measured during the interview. Infant body weight, height and head circumference at birth were taken from the hospital records, and second-month assessments were measured during the follow-up using an infant scale, infantometer and a tape measure, respectively.
Breast milk appetite hormone analysis
For the hormone analysis, breast milk was centrifuged, and milk fat was separated. Hormone concentrations were measured by commercially available Elisa kits (Human Elisa Kit Cloud-Clone Corp. Company; adiponectin (SEA605Hu), ghrelin (CEA991Hu), IGF-1(SEA050Hu) and leptin (SEA084Hu) in the aqueous fractions of breast milk). The kits were functioning to eliminate all other factors except the specific hormone that binds uniquely and use a reaction to generate a colour signal that can be properly quantified at a specific wavelength. The minimum detection limits for leptin, ghrelin, adiponectin and IGF-1 were 0·054 ng/ml, 29·5 pg/ml, 0·069 ng/ml and 0·067 ng/ml, respectively. The intra-assay CV was < 10 % and inter-assay CV was < 12 % for all kits. Samples were analysed in duplicate in accordance with the manufacturer’s instructions. Briefly, 100 μl of the sample was incubated with several reagents alongside manufacturer-provided standards. Hormone concentrations were measured using a Chromate 4300 plate reader (Awareness Technology Inc) and its software.
Statistical analysis
We calculated that a sample size of 19 for each group provided an 80 % power to detect a correlation between breast milk leptin level and pre-pregnancy BMI with an r-value of 0·25 (5 % significance, two-sided test). On the other hand, the available data were insufficient to compute a power calculation for ghrelin, adiponectin and IGF-1. In case of any data loss during analysis, we recruited twenty volunteers for each group.
Statistical Package for the Social Sciences 22.0 package programme was used for statistical evaluation of data obtained from the study. Descriptive statistical variables are presented as mean (
), standard deviation, and minimum and maximum values. Mann–Whitney U test was used to compare the averages of data of two independent groups. Correlation analyses were performed with the Spearman correlation test and to counteract multiple testing problems, Bonferroni correction was applied. Factors that may be associated with measured hormone levels (maternal BMI, age, parity, gestational weight gain and sex) were evaluated by linear regression analysis. The results were considered statistically significant when P < 0·05 in 95 % CI.
Results
This study was carried out with a total of forty lactating mothers whose ages were between 19–35 years. Characteristics of infants and mothers are given in Table 1. In our sample, the parity of mothers with obesity was significantly higher than the parity of mothers with normal weight (P = 0·009). Although pre-pregnancy BMI was significantly higher in mothers with obesity (P = 0·000), they gained less weight during pregnancy than mothers with normal weight (P = 0·020). Both at birth and second month weight, length and head circumference of infants were similar between groups (P > 0·05). Additionally, the weight for length z-score at 2 months was similar between groups (P > 0·05).
Table 1.
Characteristics of infants and mothers
(Mean values and standard deviations; median values)
| Normal weight (n 20) (Min–Max) | Obese (n 20) (Min–Max) | P | |||||
|---|---|---|---|---|---|---|---|
| Mean | sd | Median | Mean | sd | Median | ||
| Mothers | |||||||
| Age (year) | 27·1 | 4·5 | 19·0–34·0 | 29·5 | 5·3 | 20·0–35·0 | 0·125 |
| Parity | 1·0 | 1·0–3·0 | 2·5 | 1·0–3·0 | 0·009** | ||
| Pre-pregnancy BMI (kg/m2) | 22·7 | 2·0 | 18·7–24·9 | 31·8 | 2·7 | 30·1–40·2 | 0·000*** |
| Weight at 2 months postpartum (kg) | 66·6 | 9·0 | 46·0–80·0 | 84·7 | 8·6 | 72·0–100·0 | 0·000*** |
| Length (cm) | 161·7 | 6·6 | 150·0–172·0 | 159·5 | 8·3 | 148·0–172·0 | 0·357 |
| BMI at 2 months postpartum (kg/m2) | 25·4 | 2·9 | 19·2–32·9 | 33·4 | 3·3 | 25·9–42·7 | 0·000*** |
| Gestational weight gain (kg) | 16·2 | 5·6 | 5·0–28·0 | 11·3 | 6·3 | –6·0–20·0 | 0·020* |
| Infants | |||||||
| Gestational age (weeks) | 39·0 | 37·0–42·0 | 38·0 | 37·0–40·0 | 0·073 | ||
| Birth | |||||||
| Weight (g) | 3310·8 | 354·3 | 2640·0–4140·0 | 3323·0 | 337·4 | 2800·0–3860·0 | 0·850 |
| Length (cm) | 49·9 | 1·5 | 46·0–52·0 | 50·7 | 1·6 | 48·0–54·0 | 0·215 |
| Head circumference (cm) | 34·9 | 1·4 | 32·0–37·0 | 34·8 | 1·6 | 32·0–37·5 | 0·764 |
| Second month | |||||||
| Weight (g) | 5449·0 | 787·4 | 4000·0–6900·0 | 5754·5 | 671·0 | 4670·0–7000·0 | 0·285 |
| Length (cm) | 57·8 | 3·3 | 51·0–62·5 | 58·2 | 2·3 | 54·0–62·0 | 0·838 |
| Head circumference (cm) | 39·9 | 0·9 | 38·0–41·5 | 39·4 | 1·7 | 36·5–42·0 | 0·327 |
| Weight for length z-score at 2 months | 0·25 | 1·01 | –1·32–2·29 | 0·64 | 1·20 | –1·21–3·44 | 0·279 |
P < 0·05.
P < 0·01.
P < 0·001.
Table 2 shows leptin, ghrelin, adiponectin and IGF-1 hormone levels in pre-feed and post-feed breast milk between groups. Breast milk ghrelin levels were the most significantly affected appetite regulating hormone during lactation. Pre-feed breast milk contained significantly higher levels of ghrelin both in mothers with obesity and normal weight (P = 0·000; P = 0·006, respectively). Although its concentration was significantly decreased during lactating in both groups, mothers with obesity had a higher level of pre-feed breast milk ghrelin than mothers with normal weight (P = 0·025). While the level of adiponectin in breast milk increased significantly from pre-feed breast milk to post-feed breast milk in both groups, the level of IGF-1 decreased significantly (P = 0·030; P = 0·002, respectively). Even though adiponectin levels were found to be lower in mothers with obesity, it was only significant in post-feed breast milk (P = 0·010). The adiponectin level in post-feed breast milk was 13·95 (sd 0·25) ng/ml in mothers with normal weight and 12·84 (sd 2·33) ng/ml mothers with obesity (P = 0·010). Leptin was the only appetite regulating hormone that was not affected by maternal BMI or lactation stage in our study.
Table 2.
Leptin, ghrelin, adiponectin and IGF-1 hormones levels in breast milk of mothers with normal weight and obesity
(Mean values and standard deviations)
| Normal weight (n 20) | Obese (n 20) | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Pre-feed breast milk (Min–Max) | Post-feed breast milk (Min–Max) | Pre-feed breast milk (Min–Max) | Post-feed breast milk (Min–Max) | |||||||||
| Hormones | Mean | sd | Mean | sd | Mean | sd | Mean | sd | P 1 | P 2 | P 3 | P 4 |
| Leptin (ng/ml) | 0·13 | 0·08 | 0·13 | 0·19 | 0·16 | 0·10 | 0·09 | 0·06 | 0·655 | 0·637 | 0·302 | 0·162 |
| Ghrelin (pg/ml) | 191·75 | 79·26 | 35·26 | 35·79 | 253·98 | 94·12 | 61·27 | 54·49 | 0·025* | 0·339 | 0·006** | 0·000*** |
| Adiponectin (ng/ml) | 11·49 | 1·74 | 13·95 | 0·25 | 10·93 | 2·12 | 12·84 | 2·33 | 0·168 | 0·010* | 0·000*** | 0·000*** |
| IGF-1 (ng/ml) | 0·24 | 0·07 | 0·21 | 0·11 | 0·29 | 0·11 | 0·20 | 0·07 | 0·056 | 0·756 | 0·030* | 0·002** |
IGF-1, insulin-like growth factor 1; P 1, difference between mothers with normal weight and obesity in pre-feed breast milk; P 2, difference between mothers with normal weight and obesity in post-feed breast milk; P 3, difference between pre-feed and post-feed breast milk in mothers with normal weight; P 4, difference between pre-feed and post-feed breast milk in mothers with obesity.
P < 0·05.
P < 0·01.
P < 0·001.
When the correlation between leptin, ghrelin, adiponectin and IGF-1 hormones in breast milk and the infant’s weight for length z-score at 2 months was examined, no significant relationship was found (Table 3).
Table 3.
Correlation of infant’s weight for length z-score at 2 months and appetite hormones in breast milk
| Infant weight for length z-score at 2 months | ||||
|---|---|---|---|---|
| Normal weight (n 20) | Obese (n 20) | |||
| r | P | r | P | |
| Pre-feed breast milk | ||||
| Leptin | –0·324 | 0·163 | –0·326 | 0·160 |
| Ghrelin | 0·129 | 0·610 | 0·074 | 0·755 |
| Adiponectin | –0·003 | 0·990 | –0·248 | 0·291 |
| IGF-1 | –0·149 | 0·531 | –0·346 | 0·136 |
| Post-feed breast milk | ||||
| Leptin | –0·019 | 0·938 | –0·420 | 0·065 |
| Ghrelin | 0·800 | 0·200 | 0·466 | 0·093 |
| Adiponectin | 0·032 | 0·895 | –0·280 | 0·232 |
| IGF-1 | 0·015 | 0·950 | –0·476 | 0·034 |
Spearman correlation analysis. IGF-1, insulin-like growth factor 1.
Linear regression analyses for leptin, ghrelin, adiponectin and IGF-1 hormones in breast milk are presented in Table 4. When the factors that could affect leptin, ghrelin, adiponectin and IGF-1 hormone levels in breast milk (normal/obese, maternal age, infant sex, gestational weight gain, maternal BMI at 2 months postpartum and parity) were evaluated, the model for ghrelin in pre-feed breast milk explained 41·2 % of the variation in the dependent variable and was significant at 5 % (r 2 0·412; P = 0·008). It was determined that parity is an important predictor of ghrelin in pre-feed breast milk (P = 0·025), that is, an increase of 1 unit in the parity caused an increase in the ghrelin level in pre-feed breast milk by 47·607 units. Furthermore, maternal age was found to be an important predictor of estimation of adiponectin, and ghrelin levels in post-feed breast milk (P = 0·033; P = 0·039, respectively).
Table 4.
Linear regression analysis for leptin, ghrelin, adiponectin and IGF-1 hormones in breast milk
| Model | β | t | P |
|---|---|---|---|
| Adiponectin (pre-feed breast milk) | |||
| Normal/obese | –1·196 | –1·029 | 0·311 |
| Maternal age | 0·153 | 1·891 | 0·067 |
| Infant sex | 0·767 | 1·185 | 0·244 |
| Gestational weight gain | –0·046 | –0·812 | 0·423 |
| Maternal BMI (2 months postpartum) | 0·045 | 0·420 | 0·677 |
| Parity | –0·228 | –0·455 | 0·652 |
| r 2 = 0·158; P = 0·420 | |||
| Adiponectin (post-feed breast milk) | |||
| Normal/obese | –1·477 | –1·542 | 0·133 |
| Maternal age | 0·149 | 2·228 | 0·033* |
| Infant sex | 0·932 | 1·748 | 0·090 |
| Gestational weight gain | 0·003 | 0·062 | 0·951 |
| Maternal BMI (2 months postpartum) | 0·043 | 0·489 | 0·628 |
| Parity | –0·178 | –0·430 | 0·670 |
| r 2 = 0·281; P = 0·074 | |||
| Ghrelin (pre-feed breast milk) | |||
| Normal/obese | –27·564 | –0·583 | 0·564 |
| Maternal age | 2·402 | 0·711 | 0·482 |
| Infant sex | 9·556 | 0·359 | 0·722 |
| Gestational weight gain | –1·154 | –0·504 | 0·618 |
| Maternal BMI (2 months postpartum) | 6·187 | 1·460 | 0·154 |
| Parity | 47·607 | 2·359 | 0·025* |
| r 2 = 0·412; P = 0·008** | |||
| Ghrelin (post-feed breast milk) | |||
| Normal/obese | 38·380 | 0·702 | 0·497 |
| Maternal age | 11·781 | 2·340 | 0·039* |
| Infant sex | 70·696 | 2·142 | 0·055 |
| Gestational weight gain | –0·762 | –0·427 | 0·677 |
| Maternal BMI (2 months postpartum) | 0·148 | 0·047 | 0·964 |
| Parity | –36·453 | –1·061 | 0·312 |
| r 2 = 0·438; P = 0·288 | |||
| IGF 1 (pre-feed breast milk) | |||
| Normal/obese | 0·025 | 0·451 | 0·655 |
| Maternal age | 0·002 | 0·491 | 0·626 |
| Infant sex | 0·003 | 0·092 | 0·927 |
| Gestational weight gain | –0·003 | –1·175 | 0·248 |
| Maternal BMI (2 months postpartum) | 0·004 | 0·802 | 0·428 |
| Parity | –0·044 | –1·823 | 0·077 |
| r 2 = 0·181; P = 0·322 | |||
| IGF 1 (post-feed breast milk) | |||
| Normal/obese | –0·026 | –0·474 | 0·639 |
| Maternal age | –0·002 | –0·591 | 0·559 |
| Infant sex | –0·047 | –1·575 | 0·125 |
| Gestational weight gain | –0·001 | –0·197 | 0·845 |
| Maternal BMI (2 months postpartum) | 0·003 | 0·525 | 0·603 |
| Parity | –0·022 | –0·939 | 0·355 |
| r 2 = 0·135; P = 0·535 | |||
| Leptin (pre-feed breast milk) | |||
| Normal/obese | –0·019 | –0·470 | 0·642 |
| Maternal age | 0·002 | 0·831 | 0·412 |
| Infant sex | –0·024 | –1·046 | 0·303 |
| Gestational weight gain | –0·004 | –2·048 | 0·049* |
| Maternal BMI (2 months postpartum) | 0·004 | 0·984 | 0·332 |
| Parity | –0·031 | –1·746 | 0·090 |
| r 2 = 0·196; P = 0·268 | |||
| Leptin (post-feed breast milk) | |||
| Normal/obese | –0·046 | –0·846 | 0·404 |
| Maternal age | 0·001 | 0·349 | 0·729 |
| Infant sex | –0·042 | –1·403 | 0·170 |
| Gestational weight gain | –0·002 | –0·912 | 0·368 |
| Maternal BMI (2 months postpartum) | 0·006 | 1·239 | 0·224 |
| Parity | –0·035 | –1·507 | 0·141 |
| r 2 = 0·148; P = 0·468 | |||
IGF-1, insulin-like growth factor 1.
P < 0·05.
P < 0·01.
Discussion
Breast milk composition is widely studied since its content is crucial for an infant’s growth and development. One of the main aims of this study was to compare the pre-feed and post-feed breast milk leptin, ghrelin, adiponectin and IGF-1 hormone levels of mothers with different BMI, and we have revealed several intriguing results. We have found significant differences in ghrelin concentration in pre-feed breast milk regardless of BMI. Additionally, mothers with obesity had significantly higher ghrelin levels in pre-feed breast milk than mothers with normal weight, which could promote food intake in their infants. This might result in a greater breast milk consumption and weight gain. Although there is a general consensus over the protective effects of breast milk(20,21), recent studies raise some questions about the effects of breast milk and its metabolites as a potential contributor of early childhood obesity, in particular the transmission of obesity from mother to child(16,22–24). Kon et al. have shown that infants with high weight gain had higher ghrelin concentration in breast milk compared to infants with low and normal weight gain in the first month of lactation. Therefore, they assumed that the high ghrelin level in breast milk might be related to higher weight gain in an infant by stimulating appetite(16). However, the association between maternal BMI and breast milk ghrelin concentration is inconclusive(17,25).
Our results indicate that mothers with obesity had higher ghrelin levels in pre-feed breast milk and lower adiponectin levels in post-feed breast milk than mothers with normal weight. Even though adiponectin levels were significantly decreased from pre-feed breast milk to post-feed breast milk, mothers with obesity had significantly higher post-feed breast milk adiponectin concentrations. Adiponectin in breast milk has been associated with lower infant weight in the first 6 months of life(26). In a previous study, a positive relationship was found between serum adiponectin level and daily weight gain of infants, while no relation was found between breast milk adiponectin concentration and daily weight gain of the infant(27). According to our results, we concluded that infants of mothers with obesity were eager to consume more breast milk, which resulted in more weight gain. However, additional research is needed to further investigate this finding.
Although the functions of leptin, ghrelin and adiponectin in appetite regulation are well known, there has been no general consensus on their breast milk concentrations since previous studies found conflicting results for skimmed milk(13,28–31). Additionally, the effects of maternal BMI on breast milk appetite hormone concentrations are very limited(28,32–35). This contradiction could be explained by the dynamic contents of breast milk and variances in research methodology, which makes difficult to interpret and hard to compare the study results.
This research found no significant difference in breast milk leptin concentrations between mothers with obesity and normal weight. Although Andreas et al. found a positive association between maternal BMI and breast milk leptin concentration, leptin levels remained similar between groups(18). Also, leptin levels were not changed from pre-feed and post-feed breast milk, which is consistent with the literature(36). Literature suggests that breast milk leptin concentration is positively correlated with maternal adiposity and prone to increase with body weight(22,35). As BMI is not a direct measure of adiposity, this might explain why leptin concentrations are not different in this study(22,37).
In this study, breast milk IGF-1 levels were not significantly different in mothers with obesity and mothers with normal weight. Moreover, IGF-1 in pre-feed breast milk was found to be significantly higher in both groups. Previous work by Galante et al. reported that higher milk IGF-1 was associated with higher weight at 13 months(38). According to a previous study, infants born to diabetic mothers were found to have greater anthropometric measurements and higher breast milk IGF-1 levels. Therefore, a positive correlation was demonstrated between breast milk IGF-1 levels and infant body weight(39). However, when the correlation between infant’s weight for length z-score at 2 months and hormones was examined, no relationship was found. While the majority of the studies found a positive relationship between breast milk IGF-1 concentration and growth in early life, the impact of breast milk IGF-1 on endogenous IGF-1 synthesis is not known, and it is the serum concentration that promotes weight gain and adiposity.
In regression analysis, parity was found to be an important predictor of ghrelin level in pre-feed breast milk. Many maternal factors are demonstrated to influence breast milk nutrient composition, including the stage of lactation, the genetic background of the mother, parity, age and health status(38,40–42). Increased breast milk ghrelin levels promote food intake(25), and parity has been suggested to be a risk factor for the development of obesity(43). The positive relationship we demonstrated between parity and pre-feed breast milk ghrelin levels in the regression analysis supports these previous findings. The increase in pre-feed breast milk ghrelin level with parity can also explain the increase in food consumption and obesity in infants. However, this finding needs to be explored further.
There were also some limitations in the study. Firstly, we could not support our results with blood hormone tests of neither mothers nor infants since drawing blood from infants needs several ethical consents. Having data on at least the maternal blood hormone tests, which include insulin, would have strengthened the results. Secondly, we were not able to measure the actual adiposity of mothers, which could have expanded our results and brought a new perspective into the study. Thirdly, we could not follow up the infants to establish the associations between the concentrations of these hormones and the subsequent likelihood of infant overweight/obesity. Also, we could not systematically question maternal diet, which could affect breast milk composition. Finally, measures of milk components in skim milk warrant further caution in this case as the literature shows there are more components in whole breast milk than in skim milk, and it is the whole milk that infants receive.
Conclusion
In conclusion, this study indicates that pre-pregnancy BMI is associated with leptin, ghrelin, adiponectin and IGF-1 levels. According to the results of this study, maternal BMI might be associated with the appetite regulating hormone levels in breast milk. Hence, further longitudinal research is needed to better understand the effect of leptin, ghrelin, adiponectin and IGF-1 on infants’ adulthood.
Acknowledgements
The authors are grateful to all volunteers for their participation in this study. M. F. and T. T. G. designed the study, T. T. G., N. K. and A. K. U. collected the data, M. F. and T. T. G. analysed and interpreted the data. All authors were involved in writing, read and approved the final manuscript.
This study was funded by the Scientific and Technological Research Council of Turkey (TUBITAK) for Mehmet Fisunoglu (grant no: 317S038). The funding agency had no role in the design, analysis or writing of this article.
The authors declare no conflict of interest.
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