Abstract
Objectives:
This study aimed to evaluate the effect of prepregnancy obesity on fatty acid profile in breast milk, to determine the relationship between maternal diet and fatty acids in breast milk, and to investigate the relationship between fatty acids in breast milk and infant growth.
Materials and Methods:
Twenty normal-weight mothers, 20 obese mothers, and their infants were recruited. Breast milk samples were collected at 50–70 days postpartum. Breast milk fatty acid was analyzed with gas chromatography. Infant body weight, height, and head circumference were taken from medical records at birth and during study visits at 2 months. Dietary intake was assessed by trained dietitians using a 24-hour dietary recall method.
Results:
Alpha-linolenic acid (ALA, p = 0.040), docosahexaenoic acid (DHA, p = 0.019), and total n-3 fatty acid (p = 0.045) in total milk were found to be higher in normal-weight mothers compared with obese mothers. A positive association was found between C20:4 n-6 in foremilk and weight for age percentile (r = 0.381, p = 0.031; β = 29.966, p = 0.047).
Conclusions:
Prevention of prepregnancy obesity is important for future generations, as prepregnancy obesity has many adverse effects on the mother and infant and may affect the composition of breast milk.
Introduction
Obesity is an increasing societal problem affecting women of reproductive age. 1 Prepregnancy obesity increases not only the risk of maternal complications such as gestational diabetes mellitus and preeclampsia, but it also increases neonatal complications such as miscarriage, stillbirth, fetal chromosomal anomalies, preterm birth, and fetal macrosomia.2,3 Moreover, prepregnancy obesity increases the risk of long-term health outcomes such as obesity, cognitive development deficits, cardiovascular disease, type 2 diabetes mellitus, greater all-cause mortality, and cancer in infants. 4 Breastfeeding is among the mechanisms through which maternal obesity affects the nutritional status of infants. 5 It also may affect breast milk fatty acid, which is critical for infants' neurodevelopment. 6
Human breast milk, which is unique for infants, provides nutrients that support optimal growth and development during infancy.7,8 The World Health Organization (WHO) recommends that infants should be exclusively breastfed for the first 6 months of life and they should be breastfed with complementary foods for up to 2 years and beyond. 9 Lipids, which contribute 40–55% of the total energy of breast milk, are the largest source of energy in breast milk. 10 Breast milk lipids play an important role as a source of energy and are responsible for structural and regulatory functions. 11 Linoleic acid (LA, C18:2 n-6) and alpha-linolenic acid (ALA, C18:3 n-3) from polyunsaturated fatty acids (PUFAs) cannot be synthesized neither by the mother nor by neonatal, so they should be taken from the diet. 11
Long-chain fatty acids such as arachidonic acid (ARA, C20:4 n-6), eicosapentaenoic acid (EPA, C20:5 n-3), and docosahexaenoic acid (DHA, C22:6 n-3) can be synthesized from LA and ALA by de nova synthesis in the liver, however, that synthesis is not enough to meet the requirements.12,13 So breast milk is a source of ARA, EPA, and DHA for infants who are exclusively breastfed. 14 The fatty acid profile of breast milk, especially long-chain PUFA, varies depending on the maternal diet. 15 Arachidonic acid (AA), EPA, and DHA, which are PUFAs, are significant for regulating growth, immune function, inflammatory responses, motor systems, and cognitive development in infants. 16
Considering the adverse effects of prepregnancy obesity on mothers and infants, it is needed to investigate how prepregnancy obesity affects the composition of breast milk and infant growth. In this context, although there are studies examining the effect of maternal body mass index (BMI) on fatty acid composition in breast milk,5,6,11,14 there is no study that investigated the effect of maternal BMI in both foremilk and hindmilk. Thus, this study aimed to evaluate the effect of prepregnancy obesity on fatty acid profile in foremilk and hindmilk, to determine the relationship between maternal diet and fatty acids in breast milk, and to investigate the relationship between fatty acids in breast milk and infant growth.
Materials and Methods
Subjects and study design
Twenty normal-weight mothers (prepregnancy BMI: 18.50–24.99 kg/m2) and 20 obese mothers (prepregnancy BMI: ≥30 kg/m2) and their infants were recruited. Mothers were included in this study during their visit to Child Health and Diseases, Hematology, Oncology Training and Research Hospital (Ankara, Turkey) for their babies' second-month follow-up. To be eligible, mothers needed to have a healthy infant, give vaginal delivery, labor between 37th and 42nd weeks of pregnancy, labor over a 2,500-g baby, and have babies exclusively breastfed. Mothers were excluded if they had any maternal health problem, which might affect breastfeeding or study results, smoked or consumed alcohol, had a pregnancy with multiples, labored under a 2,500-g baby, had preeclampsia, or gestational diabetes history during pregnancy. A brief study questionnaire was applied to mothers through face-to-face interviews.
This study was carried out in accordance with the ethical standards recognized by the Declaration of Helsinki and all procedures were approved by the Hacettepe University Noninterventional Clinical Research Ethics Board (GO 17/843-13). Written informed consent was obtained from all participants at the beginning of the study.
Anthropometric measurements and assessment of anthropometric infant outcomes
Prepregnancy body weight and weight gain during pregnancy 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 medical records, and second-month assessments were measured during follow-up using infant scale, infantometer, and tape measure, respectively.
Infants' anthropometric measurements were converted to weight-for-age percentile values according to the WHO child growth standards.17,18
Dietary record analysis
Dietary intake was assessed using a 24-hour dietary recall method at second month postpartum. Energy, fiber, percentage of carbohydrate, protein, total fat, saturated fatty acids (SFAs), monounsaturated fatty acids (MUFAs), and PUFAs in total energy were calculated using the BeBIS: Nutrition Data Base Software (Istanbul, Turkey).
Breast milk collection
Breast milk samples were collected by using Medela Swing Maxi electric breast pump in plastic bottles. All bottles were cleaned in warm soapy water and sterilized after each usage. Breast milk samples were collected between 9:00 am and 11:00 am from a breast that mothers did not breastfeed lastly. Five milliliters of foremilk was collected and mothers asked to keep breastfeeding their infants for about 10 minutes, and 5 mL of hindmilk was collected afterward. 19 All breast milk samples were kept in sterile plastic bags and stored at −80°C until analysis.
Fatty acid analysis of breast milk
Fatty acid analysis was performed according to the “Association of Official Agricultural Chemist official method 996.06.” 20 The method consisted of extraction, methylation, gas chromatography (GC) analysis, and calculation steps. Briefly, 5 mL of breast milk was thawed and placed in Mojonnier flask. To extract fat, pyrogallic acid, internal standard (triundecanoin), ethanol, and NH4OH were added into the flask and heated in a shaking water bath for 40 minutes. After cooling to room temperature, diethyl ether and petroleum ether were added and shaken in a wrist shaker for 20 minutes. Then the mixture was left at room temperature for 1 hour for layer separation. The top layer that contained fat was collected and evaporated under fume hood with N2 steam. Extracted fat was methylated by BF3 and toluene in an oven at 100°C for 45 minutes.
After cooling to room temperature, hexane, double-distilled H2O, and Na2SO4 were added and fatty acid methyl ester containing layer was collected into GC vials for analysis.
A Thermo Finnigan GC trace equipped with a flame ionization detector, an autosampler, and a Supelco 2560 fused-silica capillary column (100 m × 0.25 mm internal diameter, 0.2 μm film thickness) was used for analysis. Individual fatty acid peaks were identified and quantified by comparing their retention times with the Supelco 37 component FAME mix standard mixture. The analytical average of foremilk and hindmilk was given as “total” fatty acids. Results were shown as a percentage in total fatty acid (% w/w). 5
Statistical analysis
All analyses were completed using Statistical Package for the Social Sciences (SPSS) version 23.0 software. Descriptive statistical variables are presented as mean (
Results
The characteristics of mothers and infants are presented in Table 1. Obese mothers had significantly higher parity than normal-weight mothers (p = 0.009). Although prepregnancy BMI was significantly higher in obese mothers (p = 0.000), gestational weight gain did not differ between groups (p > 0.05). There was no significant difference between the characteristics of infants according to maternal prepregnancy BMI (p > 0.05).
Characteristics of Mothers and Infants
Bold values indicates statistical significance (p < 0.05).
p < 0.05.
Mothers' energy and macronutrient intake at the second month of lactation are presented in Table 2. While no group differences in energy, carbohydrates, proteins, total fat, SFA, MUFA, and PUFA intake were observed, fiber intake was significantly higher in obese mothers than in normal-weight mothers (p = 0.027).
Mothers' Energy and Macronutrient Intake, as Determined from the 24-Hour Dietary Recall at the Second Month of Lactation
Bold values indicates statistical significance (p < 0.05).
p < 0.05.
Breast milk fatty acid profile according to maternal prepregnancy BMI is presented in Table 3. When total milk was compared, C20:3 n-6 (p = 0.030), C20:4 n-6 (p = 0.042), total n-3 (p = 0.045), C18:3 n-3 (p = 0.040), and C22:6 n-3 (p = 0.019) were found significantly higher in normal-weight mothers than in obese mothers. The foremilk of normal-weight mothers had significantly higher C20:3 n-6 (p = 0.015), total n-3 (p = 0.045), and C22:6 n-3 (p = 0.044) than those of foremilk of obese mothers. Total MUFAs in foremilk of obese mothers were higher than that of normal-weight mothers (p = 0.020). In addition, foremilk (p = 0.032), hindmilk (p = 0.015), and total milk (p = 0.004) of obese mothers had higher C16:1 n-7 than that of normal-weight mothers.
Breast Milk Fatty Acid Profile According to Maternal Prepregnancy Body Mass Index
Bold values indicates statistical significance (p < 0.05).
p < 0.05 Differences between foremilk and hindmilk in obese mothers are expressed.
p < 0.05 Differences between foremilk and hindmilk in normal-weight mothers are expressed.
p < 0.05 Differences between normal-weight and obese mothers in foremilk are expressed.
p < 0.05 Differences between normal-weight and obese mothers in hindmilk are expressed.
p < 0.05 Differences between normal-weight and obese mothers in total milk are expressed.
While total PUFAs (p = 0.037), total n-3 (p = 0.000), and C18:3 n-3 (p = 0.001) were significantly higher in foremilk compared with hindmilk in normal-weight mothers, C16:0 (p = 0.001), C18:0 (p = 0.000), C16:1 (p = 0.000), C20:2 n-6 (p = 0.017), and n-6/n-3 ratio (p = 0.000) were significantly lower. Whereas total n-3 (p = 0.002) and C20:5 n-3 (p = 0.029) were significantly higher in foremilk compared with hindmilk in obese mothers, total SFA (p = 0.042), C14:0 (p = 0.033), C20:3 n-6 (p = 0.029), and n-6/n-3 ratio (p = 0.000) were significantly lower. Regardless of maternal prepregnancy BMI, total n-3 was found to be higher in foremilk (p = 0.000 and p = 0.002, respectively) and the n-6/n-3 ratio (p = 0.000 and p = 0.000, respectively) was found to be higher in hindmilk of both normal-weight and obese mothers.
Correlation between dietary intake parameters (energy, carbohydrates, proteins, total fat, SFA, MUFA, and PUFA) and lipid profile in breast milk at the second month of lactation is shown in Table 4. While MUFA in hindmilk decreased as dietary carbohydrate intake increased (r = −0.339, p = 0.032), MUFA in hindmilk increased as dietary protein intake increased (r = 0.352, p = 0.026).
Correlation Between Dietary Intake Parameters and Lipid Profile in Breast Milk at the Second Month of Lactation
Bold values indicates statistical significance (p < 0.05).
Spearmen correlation analysis.
p < 0.05.
CHO, carbohydrate; MUFA, monounsaturated fatty acid; PRO, protein; PUFA, polyunsaturated fatty acid; SFA, saturated fatty acid.
Whereas there was a negative correlation between dietary SFA intake and C18: 2 n-6 and total n-6 in foremilk (r = −0.339, p = 0.032 and r = −0.356, p = 0.024, respectively), there was a positive correlation between dietary SFA intake and C20:5 n-3 and total n-3 in foremilk (r = 0.347, p = 0.028 and r = 0.344, p = 0.030, respectively). Moreover, a positive correlation was found between dietary SFA intake and C18:3 n-3 in foremilk (r = 0.386, p = 0.014). There was a negative correlation between dietary MUFA intake and C20:4 n-6 and C22:6 n-3 in hindmilk (r = −0.337, p = 0.033 and r = −0.362, p = 0.022, respectively).
While there was a negative correlation between dietary PUFA intake and SFA in hindmilk (r = −0.394, p = 0.012), a positive correlation was found between dietary PUFA intake and PUFA in hindmilk and C18:2 n-6 in foremilk (r = 0.314, p = 0.049 and r = 0.333, p = 0.036, respectively).
All associations were observed after adjusting for potential confounders, which included maternal age, education, prepregnancy BMI, gestational weight gain, and parity in Table 5. A positive association was found between C20:4 n-6 in foremilk and weight-for-age percentile values (r = 0.381, p = 0.031; β = 29.966, p = 0.047).
Associations Between Breast Milk Fatty Acids and Infants' Percentile Scores at the Second Month
Bold values indicates statistical significance (p < 0.05).
Spearmen correlation and linear regression analysis. β, r, and p are corrected values after adjustment for potential confounders: maternal age, education, prepregnancy BMI, gestational weight gain, and parity.
p < 0.05.
BMI, body mass index; MUFA, monounsaturated fatty acid; PUFA, polyunsaturated fatty acid; SFA, saturated fatty acid.
Discussion
This study found significant differences in fatty acid profile in foremilk and hindmilk of obese and normal-weight mothers. ALA, DHA, and total n-3 fatty acids in total milk were found to be higher in normal-weight mothers compared with obese mothers. Moreover, total n-3 fatty acids in foremilk and n-6/n-3 ratio in hindmilk were found to be higher in both obese and normal-weight mothers. In addition, dietary carbohydrate intake was negatively correlated with MUFA in hindmilk, while dietary protein intake was positively correlated with MUFA in hindmilk. While there was a positive correlation between dietary SFA intake and total n-3 in foremilk, a negative correlation was found between dietary SFA intake and total n-6 in foremilk. As PUFA intake in the diet increases, PUFA in hindmilk increases, while SFA in hindmilk decreases. Furthermore, ARA in foremilk was positively associated with weight-for-age percentile values.
The study of Mäkelä et al. 14 compared breast milk collected at the third month of lactation; while total n-3 and DHA in breast milk were found to be lower in overweight mothers (prepregnancy BMI ≥25 kg/m2) than in normal-weight mothers (prepregnancy BMI <25 kg/m2), no significant difference was observed in ALA. In another study, while DHA and EPA were found to be lower in overweight mothers than in normal-weight mothers, there was no significant difference in total n-3 fatty acid between groups. 21 In a study examining breast milk of 21 obese (prepregnancy BMI ≥30 kg/m2) and 21 normal-weight mothers (prepregnancy BMI 18–25 kg/m2) in the second month of lactation, total SFA, total MUFA, and total n-6 fatty acids did not differ between groups. Nevertheless, total n-3, ALA, EPA, and DHA were found to be lower in obese mothers than in normal-weight mothers. 6
In this study, similar to previous studies, total n-3, DHA, and ALA were found to be higher in normal-weight mothers than in obese mothers. Fatty acid profile in breast milk changed and it was thought that related changes occurred due to differences in the mobilization of endogenous fatty acid stores and differences in synthesis in the maternal liver and breast tissue with maternal obesity or maternal dietary differences. 3
Even though it is known that the fat content in hindmilk is approximately two to three times that of foremilk,22,23 there are no studies comparing the percentage of fatty acids in foremilk and hindmilk in obese and normal-weight mothers. In a study in South African lactating women, after maternal age, BMI, number of children, infant age, and gender were added as covariates, while total n-3 PUFA was found to be higher in hindmilk than in foremilk, and the n-6/n-3 PUFA ratio was found to be lower. 24 In this study, while total n-3 was found to be higher in foremilk than in hindmilk in both normal-weight and obese mothers, the n-6/n-3 ratio was found to be lower in both groups.
Fatty acids in breast milk are endogenously synthesized by the mammary gland or taken from maternal plasma, and both of these fatty acid sources may change due to maternal diet.10,15 Maternal diet has been reported to affect fatty acid profile in breast milk, but the effect is not clear. 25 In a previous study, a negative correlation was found between carbohydrate intake in maternal diet and MUFA in breast milk. 11 In our study, a negative correlation was shown between carbohydrate intake and MUFA in hindmilk. In addition, SFA intake was negatively correlated with n-6 in foremilk and positively correlated with n-3 in foremilk.
Although the reason could not be exactly explained, it was thought that the fatty acid composition of breast milk was affected not only by maternal diet but also by maternal stores. In addition, it was thought that a 24-hour dietary recall may not fully reflect the diet pattern of mothers.
In another study, it has been shown that SFA and MUFA in maternal diet are associated with SFA and MUFA in transitional milk, and maternal dietary PUFA is associated with PUFA in mature milk. 12 In a study investigating fatty acids in breast milk at fifth week postpartum and fatty acid pattern of maternal diet, it was shown that the n-3/n-6 ratio in maternal diet during lactation may affect PUFA composition in breast milk. 26 A study conducted on Greek women stated that maternal PUFA intake was positively correlated with total PUFA, total n-3, DHA, and LA in breast milk at the first month postpartum. 27 In our findings, a positive correlation was found between maternal dietary PUFA and PUFA in breast milk.
The fatty acid profile of breast milk, especially PUFA content, has great importance for the growth and development of infants who are exclusively breastfed.28,29 In our study, weight-for-age percentile values were used to accurately evaluate the growth of the infant and the relationship between fatty acids in breast milk (50–70 days), and percentile values were examined. Our findings showed a positive association between ARA in foremilk and weight-for-age percentile values. In a study examining the relationship between fatty acids in breast milk and infant growth, while infant BMI for age at 6 months was inversely associated with colostrum (2–4 days) AA and DHA and positively associated with n-6/n-3 ratio, no significant association was found between fatty acids in mature milk (28–32 days) and infant growth. 5
In another study, it was shown that DHA, EPA, and n-3 PUFA at 6-week postpartum early breast milk were positively related to the sum of four skinfold thickness measurements at the 12th month. Moreover, breast milk ARA at 6 weeks postpartum was negatively associated with weight, BMI, and lean body mass up to 4 months postpartum. Based on these results, they stated that n-3 PUFA in breast milk was shown to stimulate fat mass growth over the first year of life, while ARA seems to be involved in the regulation of overall growth, especially in the early postpartum period. 30 While breast milk SFA in the postpartum third month was positively correlated weight gain and BMI increase of a 13-month-old child, no significant correlation was found with n-6 fatty acids and anthropometric measurements of the child. 14
Total n-6 PUFA in breast milk at 4–8 weeks postpartum showed a negative correlation with both infant weight and percentage of fat mass. 31 In another study, no significant association was found between n-6 PUFA and infant growth. 32 There is no general consensus on the results of the studies conducted and it is thought that the reasons for this are a collection of breast milk at different times (such as colostrum and mature milk), different ways (such as percentile values, weight, and skinfold thickness), and at different times (such as age of 3, 6, and 13 months) of infant growth.
There are some limitations to our study. Because of ethical reasons, the fatty acid composition in the erythrocytes of infants could not be examined. Also, our dietary history was limited to 24-hour dietary recall.
Conclusions
Prepregnancy obesity changed fatty acid profile in foremilk, hindmilk, and total milk. ALA, DHA, and total n-3 were found to be higher in normal-weight mothers compared with obese mothers. Regardless of maternal BMI, total n-3 was higher in foremilk, while the n-6/n-3 ratio was higher in hindmilk in both groups. Maternal diet affected the fatty acid profile of breast milk. Moreover, ARA in foremilk was positively associated with infant growth. Within the scope of all these results, prevention of prepregnancy obesity is important for future generations, as prepregnancy obesity has many adverse effects on the mother and infant and may affect the composition of breast milk.
Footnotes
Acknowledgments
The authors would like to thank all the volunteers for the participation in this study.
Authors' Contributions
T.T-G. and M.F. reviewed the literature, designed the study, collected the data, carried out laboratory and data analyses, interpreted the data, and wrote the draft and final version of the article. N.K. and A.K-U. contributed to the data collection and drafted the article. All the authors critically reviewed and approved the final version of the article.
Disclosure Statement
No competing financial interests exist.
Funding Information
This study was supported by the Scientific and Technological Research Council of Turkey (TUBITAK; grant No. 317S038).
