Effects of Breastfeeding and Formula Feeding on the Expression Level of FTO, CPT1A and PPAR-α Genes in Healthy Infants

Abstract

Purpose

The study aimed to investigate the effect of breastfeeding, formula feeding and mix feeding (breastfed plus formula-fed) on the expression level of obesity-predisposing genes including fat mass and obesity-associated (FTO), carnitine palmitoyltransferase 1A (CPT1A), and peroxisome proliferator-activated receptor-α (PPAR-α) in 5- to 6-month-old infants.

Patients and Methods

A total of 150 infants participated in this case–control study. All subjects were healthy infants aged 5–6 months that divided into 3 groups: breastfed, formula-fed, and mix-fed. The expression level of FTO, CPT1A, and PPAR-α genes in peripheral blood mononuclear cells (PBMC) was evaluated in each group using reverse transcription-polymerase chain reaction (RT-PCR) method.

Results

Our findings showed that the current weight, height, and head circumference of infants in the formula feeding and mix feeding groups were significantly higher than those in the exclusive breastfeeding group. The expression level of FTO and CPT1A genes in formula-fed and mix-fed infants was significantly higher (p<0.001) than that in breastfed infants, while the expression level of PPAR-α gene was significantly lower (p<0.05).

Conclusion

Breastfeeding showed modulatory effects on the expression level of obesity-predisposing genes and can protect against obesity and subsequent non-communicable diseases. However, more investigations are required to explain the epigenetic effects of breast milk.

Keywords:

• breastfeeding
• formula feeding
• obesity
• FTO
• CPT1A
• PPAR-α
• infants

Introduction

Childhood obesity has been recognized as one of the major public health problems in the 21st century and it seems that the global number of overweight/obese infants and young children increased from 32 million in 1990 to 41 million in 2016.^1–3 According to the world health organization (WHO) estimation, if the present trend continues, the number of overweight/obese infants and children will increase to 70 million by 2025. This important health problem is affecting most of the low- and middle-income countries in Asia and Africa.^1,4 Several studies have demonstrated that overweight and obese children remain obese and overweight during adulthood and are more likely to develop non-communicable diseases like; diabetes, metabolic syndrome (MetS), and cancers at younger age.⁵ In this way, several preventable and inevitable factors such as; environmentally and genetically factors have been identified in the pathophysiology of early obesity.^6,7 Since weight and height gain, as the most important indicators of health status in infants and children, affected by diet and behavioral habits, precise modulation and control of them is a necessity to prevent subsequent chronic disorders.⁸ Previous studies have shown that diet causes epigenetic changes early in life and may affect health status in adulthood.^9,10 Therefore, modulation of the dietary factors may influence the expression level of different genes in the body through epigenetic alterations.¹⁰

Different studies showed that some factors like extreme gestational weight gain, gestational diabetes mellitus (GDM), hypertension, maternal dyslipidemia and breastfeeding less than 6 months are associated with maternal and childhood obesity and can be perinatal risk factors for higher BMI in childhood.¹¹ There is a robust relationship between obesity and chronic diseases like diabetes and cancers which is the result of modifications in the expression level of crucial genes for a long time. Numerous studies showed that the gene of transcription factor TCF7L2, PPAR-γ2 receptors, and SLC16A11 gene variants have an important role in the incidence of obesity and type 2 diabetes in different populations. On the other hand, weight loss can modify the expression level of some important genes that involved in the production of different interleukins, cytokines, complement components, acute phase proteins, and molecules.^11,12

Breast milk has the appropriate composition and unique ingredients that can provide all of the requirements and ensure the health status of infants. Breastfeeding has been associated with lower risk of chronic and infectious diseases in infants and young children.^13,14 There are different mechanisms regarding protective effects of human milk against obesity and its related chronic diseases. Breastfed infants consume low-calorie and protein that leads to a lower insulin response, fat deposition and adipocytes. Moreover, in exclusively breastfed infants the self-regulation and satiation feeling will improve and an infant will stop feeding when is satiated and consume lower amounts of calorie than formula feeding infant.^14–17 In addition, breast milk possesses more amounts of bioactive factors, and lower protein and insulin concentrations in comparison to the formula that leads to the reduction of fat deposition. The bioactive factors that exist in human milk are able to promote epidermal growth factor and tumor necrosis factor (TNF) synthesis that prevents adipocyte differentiation in infants.^18–21

Numerous studies have been demonstrated that breastfeeding plays a significant role in the health status of infants by affecting specific genes.^22,23 Many of the functions and signaling pathways of these obesity-predisposing genes have been identified.²⁴ Some of the important genes involved in the obesity incidence through energy metabolism and body weight regulation are; PPARA, CPT1A, fatty acid synthase (FASN), leptin receptor (LEP-R), and FTO genes.^25–28

FTO is the first gene that recognized by genome-wide association studies (GWAS) and is contributed to polygenic human obesity in different ethnicities. The important role of FTO on body composition, and risk of obesity has been proven in children and adults.^29–32 According to different studies, FTO has an important role in the association between amino acid levels and mTORC1 function, so that inappropriate FTO gene leads to weakness of mTORC1 signaling pathway.^33,34 Also, it seems that the FTO gene has an important role in the proliferation and differentiation of cells through PI3K/Akt signaling pathway and can perform a critical role in the relationship between 5′ AMP-activated protein kinase (AMPK) with the PI3K/AKT/mTOR pathway.^35,36

CPT1A is one of the three isoforms of the CPT-1 enzyme, and the mutation of its coding gene predisposes individuals to some metabolic disorders.³⁷ Since the assessment of CPT1A gene expression may be an early biomarker for metabolic alterations like; insulin resistance, fatty liver and obesity, it can be a suitable target to the development of therapeutic agents against metabolic disorders.³⁸ In this manner, Sanchez et al showed that the expression level of LEP-R, insulin receptor (INSR), and CPT1A genes are higher in overweight children compared to normal weight.³⁹ On the other hand, Priego et al demonstrated that the higher expression level of FASN, PPAR-α and INSR genes in breastfed infants is associated with a lower risk of overweight compared to formula-fed infants.⁴⁰ Moreover, McCrory et al revealed that breastfeeding more than 13 weeks is associated with the significant reduction in risk of being obese at 9 years of age.⁴¹ However, the evidence regarding the protective effects of breastfeeding against childhood obesity is inconsistent yet. Previous studies showed that the early life diet significantly affects the health status of infants through making alterations in the expression level of effective genes involved in the regulation of energy homeostasis.^13,42 Therefore, the aim of this study was to investigate the effect of different types of feeding, including breastfeeding, formula feeding and mix feeding on the expression level of important genes in the development of obesity and overweight (FTO, CPT1A, and PPAR-α) in infants.

Patients and Methods

Study Design and Subjects

In this case-control study, after applying exclusion criteria, out of 649 infants that were referred to the health centers in Kermanshah city, 150 healthy infants aged 5 to 6 months (boys and girls) were recruited (Figure 1). Since the variance of the FTO and PPAR-α genes was less than the variance of the CPT1A gene, then the variance of this gene was applied to determine the sample size of the study. By assuming a 5% variance range with a 90% power and 5% significance, 38 infants were calculated for each group. Finally, by considering previous studies and possible missing samples, 50 infants were determined for each case and control group.

Figure 1 Flow chart of the study population selection including infant’s recruitment and exclusion criteria.

Before starting the study, the formal written consent form was completed by parents of all infants. Infants diagnosed with specific diseases and nutritional deficiencies were excluded from the study. All of the eligible infants were divided into 3 groups (n=50) as control (breastfeeding infants) and case groups (formula-fed and mix-fed infants). To reduce potential bias, all of the controls were matched to cases by age, sex, birth weight, birth height and pregnancy term (Figure 1). Also, this study was approved by the ethics committee of Kermanshah University of Medical Sciences, and the study was conducted in accordance with the Declaration of Helsinki.

Anthropometric Measures and Type of Feeding

All of the infants underwent a complete physical checkup and their body mass and height were measured with Seca-233 digital baby scale (Seca), while wearing minimum clothes in sleep position and compared with standard WHO charts.⁴³ The type of infants feeding (breastfeeding, formula feeding or mix feeding) was recorded via parents recall and all of the characteristics of infants and his/her parents including; sex, age, mothers and fathers weight and height, mother’s weight before and after pregnancy, pregnancy term, at birth and current weight (in fasting status), at birth and current height, at birth and current head circumference, history of medications, nutritional interventions and infants’ disease were measured and recorded precisely. Also to reduce recall bias all of the information of infants were re-checked by their previous recorded data.

Quantitative Real-Time PCR for Gene Expression Analysis

For analysis of the gene expression level, the infant’s blood samples (1.5 mL) that provided by health-care practitioners were collected in Ethylenediaminetetraacetic acid (EDTA) coated vials. The blood sample was transferred into polypropylene tubes and stored frozen at −80 °C until needed. Blood samples of cases and controls were analyzed in the same batch and researchers were completely blind about the samples. The expression level of FTO, CPT1A, and PPAR-α genes was determined using the infant’s PBMC by RT-PCR method. Briefly, the total RNA from PBMC was extracted by Trisol Reagent kit (YTzol pure RNA, Iran) according to the manufacturer’s instructions. The extracted RNA quantity and quality were checked in the elution using ND-1000 Nanodrop spectrophotometer (Thermo Fisher Scientific Inc, USA) at 260–280 nm. Also, 1 µg of extracted RNA was employed for the synthesis of complementary DNA (cDNA) using Prime Script RT-Reagent kit (Takara Bio Inc., Tokyo, Japan) according to the manufacturer’s instructions. To amplify intended genes, specific primers were designed and purchased from Metabion Biotechnology Company (Metabion, steinkirchen, Germany) (Table 1). All amplification reactions were performed triplicate for each sample and every experiment mixture (20 µL), containing 10 µL SYBR Green gene expression master mix (Takara Bio Japan, Inc.), 1 µL cDNA (1 µg/µL), 1 µL primer (forward and reverse) and 0.8 µL 6-carboxy-X-rhodamine (ROX as reference dye) was subjected to ABI-step I plus (Applied Biosystems, Forster City, CA, USA) instrument. Thermal cycling condition was as follows: 1 cycle at 95°C for 2 mins followed by 45 cycles at 95°C for 5 s, 60°C for 30 s, and at 72°C for 10 s. To verify the purity of the products, a melting curve was produced after each run according to the manufacturer’s instructions. Interpretation of the results was performed using the Pfaffle method and the threshold cycle (Ct) values that are provided by the instrument’s software (StepOne Software v2.0) were normalized to the expression rate of internal housekeeping control gene, 18s rRNA, and expressed as fold change. Since the quantity of starting RNA may vary greatly between different samples and in order to compensate the variations in PCR efficiency, normalization of target genes was performed.^30,44 Also, for the detection of contamination, no template control (NTC) reaction was performed, which included all of the ingredients of the reaction except the target template RNA. All of the changes in the expression level of intended genes were assessed by the REST (Relative Expression Software Tool) software.

Table 1 Primers Sequences for RT-PCR Amplification

Gene Name and Symbol	Sequence (5 3՛)	Amplicon Size (bp)	TM
			F	R
FTO	F:5-ACTTGGCTCCCTTATCTGACC-3՛	145	60.9	62.2
	R:5-TGTGCAGTGTGAGAAAGGCTT-3՛
CPT1A	F:5-TCCAGTTGGCTTATCGTGGTG-3՛	98	62.3	61.8
	R:5-TCCAGAGTCCGATTGATTTTTGC-3՛
PPAR-α	F:5-ATGGTGGACACGGAAAGCC-3՛	124	62.1	61.1
	R:5-CGATGGATTGCGAAATCTCTTGG-3՛
18s rRNA	F:5-ACCCGTTGAACCCCATTCGTG A-3՛	102	64	65
	R:5-GCCTCACTAAACCATCCAATCGG-3՛

Abbreviations: bp, base pair; TM, melting temperature; F, forward; R, reverse; FTO, fat mass and obesity-associated; CPT1A, carnitine palmitoyltransferase IA; PPAR-α, peroxisome proliferator-activated receptor-α.

Statistical Analysis

Statistical analysis was performed using the statistical package for the social sciences (SPSS Inc. Chicago, IL, USA version 23.0). All data were obtained from at least three independent experiments and expressed as means ± standard deviations (SD) for quantitative variables and frequency (percent) for qualitative variables. To the assessment of normality, the Kolmogorov–Smirnov test was used. Moreover, chi-square test was used to compare proportions for categorical variables and one-way ANOVA and Kruskal–Wallis tests were performed for analyzing differences between normal and non-normal variables, respectively. Statistical significance was considered as a value of P ≤ 0.05.

Results

In this study, 150 infants including boys 79 (52.7%) and girls 71 (47.3%) were recruited and at the beginning of the study they divided into three equal groups regarding the type of feeding, including breastfed (n=50), formula-fed (n=50), and mix-fed (n=50). The basic characteristics of parents and their infants by types of feeding are given in Tables 2 and 3.

Table 2 Basic Characteristics of Parents by Types of Feeding (Mean ± SD)

Variables	Breastfeeding	Formula Feeding	Mix Feeding^a	P^b
Mother’s age (years)	26.4 ± 5.54	28.6 ± 6.4	27.2 ± 5.8	0.16
Father’s age (years)	32.3 ± 4.5	34.6 ± 6.4	33.2 ± 5.8	0.11
Weight before pregnancy (kg)	66.2 ± 9.7	71.7 ± 9.6	71.9 ± 10.2	**
Weight after pregnancy (kg)	79.8 ± 10.7	86.3 ± 10.4	86.5 ± 10.3	**
Mother’s weight (kg)	69.6 ± 9.5	76.5 ± 9.6	75.9 ± 10.2	**
Mother’s height (cm)	1.6 ± 0.04	1.6 ± 0.05	1.65 ± 0.04	*
Father’s weight (kg)	83.1 ± 11.25	82.1 ± 12.28	80.6 ± 10.37	0.53
Father’s height (cm)	1.7 ± 0.05	1.7 ± 0.05	1.7 ± 0.04	0.26

Notes: ^aMix feeding, breastfeeding plus formula feeding. ^bP-values for comparison between groups using one-way ANOVA test. *P<0.05, **P<0.001.

Table 3 Basic Characteristics of Infants by Types of Feeding

Variables^a		Breastfeeding	Formula Feeding	Mix Feeding^b	P^c
Sex (%)	Girls	24 (33.8)	25 (35.2)	22 (31)	0.82
	Boys	26 (32.9)	25 (31.6)	28 (35.4)
Age (months)		5.18 ± 0.69	5.2 ± 0.64	5.2 ± 0.62	0.74
Birth weight (kg)		3.1 ± 0.34	3.1 ± 0.38	3.0 ± 0.46	0.27
Birth height (cm)		50.1 ± 2.9	52.3 ± 2.1	49.5 ± 2.8	0.31
Pregnancy term (month)		38.1 ± 1.7	38.8 ± 1.3	38.5 ± 1.5	0.06
Head circumference (cm) (at birth)		34.4 ±2.03	34.4 ± 2.5	31.9 ± 2.47	**
Head circumference (cm) (current)		42.8 ± 1.99	44.9 ± 1.4	43.2 ± 1.7	**
Current weight (kg)		7.3 ± 0.98	8.3 ± 0.54	7.7 ± 0.71	**
Current height (cm)		65.4 ± 4.5	70.5 ± 2.01	67.0 ± 4.1	**

Notes: ^aData are represented as n (%) for categorical variables and mean ± SD for continuous variables. ^bMix feeding, breastfeeding plus formula feeding. ^cP-values for comparison between groups for categorical and continuous variables by Chi-square and Kruskal–Wallis tests. **P<0.001.

According to the results of the study, there were no significant differences between mother’s (p=0.16) and father’s ages (p=0.11), and also father’s weight (p=0.53) and height (p=0.26) between three groups. On the other hand, the mother’s weight before and after pregnancy was significantly different between three groups (p<0.001). Besides, the mother’s weight (p<0.001) and height (p=0.02) were significantly different (Table 2).

Moreover, based on Table 3, a significant difference between current weight (p<0.001) and height (p<0.001), and also head circumference (at birth and current) of infants were observed between three groups (p<0.001).

As shown in Table 4 and Figure 2, the expression level of FTO and CPT1A genes in formula-fed and mix-fed groups were significantly higher (p<0.001) than that in the breastfeeding group, while the expression level of PPAR-α was significantly lower in comparison to breastfeeding group (p<0.05). The comparison between the three groups revealed that the mean values of FTO and CPT1A gene expression in breastfed infants were 3.39 ± 1.1 and 13.51 ± 6.04, respectively, that was significantly lower than two other groups. On the contrary, the expression level of PPAR-α in breastfed infants (85.41 ± 17.84) was significantly higher than that of formula-fed and mix-fed groups (p<0.001).

Table 4 The Expression Level of FTO, PPAR-α and CPT1A Genes in Peripheral Blood Cells in Breastfed Infants, Formula-Fed and Mix-Fed Infants

Variables	Breastfeeding	Formula Feeding	Mix Feeding^a	P^b
FTO	3.39 ± 1.1	89.2 ± 19.3	59.3 ± 9.3	**
PPAR-α	85.41 ± 17.8	23.6 ± 10.98	19.4 ± 5.6	**
CPT1A	13.51 ± 6.0	42.8 ± 18.08	34.8 ± 15.9	**

Notes: ^aMix feeding, breastfeeding plus formula feeding. ^bp-value for comparison between groups by Kruskal–Wallis test. **P<0.001.

Abbreviations: FTO, fat mass and obesity-associated; CPT1A, carnitine palmitoyltransferase IA; PPAR-α, peroxisome proliferator-activated receptor-α.

Figure 2 The expression level of FTO, PPAR-α and CPT1A genes in peripheral blood cells by types of feeding. The expression level of three target genes was compared with the expression level of same gene in breastfeeding group. P-value for comparison between groups was obtained using Kruskal–Wallis test. *P≤ 0.05, **P< 0.01 as compared to breastfeeding group.

According to Table 5, the mean values of FTO (p<0.001), CPT1A (p<0.001) and PPAR-α (p=0.03) gene expression levels in formula-fed group were significantly different compared to the breastfed group. As well, the comparison of gene expression level between breastfed and mix-fed groups was significantly different only for CPT1A (p=0.02) and PPAR-α (p=0.04) genes. The comparison of formula-fed and mix-fed groups about FTO (P=0.16), CPT1A (P=0.09) and PPAR-α (P=0.13) gene expression was not significant (Table 5).

Table 5 The Difference Between Mean Values of FTO, CPT1A and PPAR-α Gene Expression Levels by Types of Feeding

Type of Feeding		FTO	P^a	CPT1A	P^a	PPAR-α	P^a
Breastfeeding	Formula feeding	−85.8 ± 7.3	**	−29.3 ± 8.1	**	66 ± 3.3	0.03
	Mix Feeding ^b	−55.9 ± 7.3	0.49	−21.3 ± 8.1	0.02	61.8 ± 3.3	0.04
		0.16 ^c		0.09 ^c		0.13 ^c

Notes: ^ap-value for mean comparison of FTO, CPT1A, and PPAR-α gene expression levels between breastfeeding group versus formula feeding and mix feeding groups. ^bMix feeding, breastfeeding plus formula feeding. ^cp-value for mean comparison of FTO, CPT1A and PPAR-α gene expression levels between formula feeding group and mix feeding group. Means were compared using Kruskal–Wallis test and presented as mean± SD. **P<0.001.

Abbreviations: FTO, fat mass and obesity-associated; CPT1A, carnitine palmitoyltransferase IA; PPAR-α, peroxisome proliferator-activated receptor-α.

Discussion

To our knowledge, this is the first investigation that evaluates the effects of breastfeeding and formula feeding on the expression level of FTO, CPT1A and PPAR-α genes in infants. Our results showed that the current head circumference, weight, and height of formula-fed and mix-fed infants were significantly higher than those of exclusively breastfed infants after 5–6 months, while the birth weight of them was not significantly different (Table 3). These findings confirmed the previous findings regarding the protective effects of breastfeeding against excessive weight gain in infants.^45–48

Also, the evaluation of three key genes in the obesity pathway revealed that the expression level of FTO and CPT1A genes in the breastfed group was lower than that in the formula-fed and mix-fed groups, while the expression level of PPAR-α in the breastfed group was higher than that in two other groups (Figure 2). The FTO gene is one of the most important genes in relation to obesity and its overexpression leads to increased food intake and body weight. Various studies have shown an association between FTO gene expression with energy expenditure, ghrelin, and leptin hormone levels and the risk of obesity and type 2 diabetes.^30,32,49,50 As well, excessive intake of protein and carbohydrates up-regulated the FTO gene expression and exacerbates the process of obesity in susceptible individuals.³⁰

Since the knockdown and overexpression of FTO gene can inhibit and increase the differentiation and adipogenesis of adipocytes, it seems that the appropriate adipocyte differentiation and proliferation are associated with FTO gene expression.⁵¹

Different studies showed that a group of single nucleotide polymorphisms (SNPs) in the first intron of the FTO gene predispose individuals to obesity and also carriers of the risk allele of FTO rs9930506 polymorphism are at higher risk for higher BMI and food intake.⁵² The effect of these important SNPs appears to be associated with postprandial leptin and ghrelin levels which can raise hunger, decrease post-prandial satiety and fullness. In this way, a significant relationship exists between haplotypes in intron 1 of FTO gene and BMI while other variants are associated with abnormal eating behaviors.^53,54 Doaei et al suggested that a significant association between the up-regulation of FTO in PBMCs and the increase of skeletal muscle (%SM) in 84 boys aged 12 to 16 years.³¹ Merkestein et al showed that FTO is able to regulate early-stage adipogenesis in FTO overexpression mice (FTO-4). These adipogenic effects performed through induction of pro-adipogenic short isoform of RUNX1T1 which enhance adipocyte proliferation.⁵⁵ In the RAINE cohort study, long-term exclusive breastfeeding was associated with lower BMI in carriers of the risk allele of the FTO SNP rs9939609 via regulation of FTO gene and modulation of energy balance during infancy.⁵⁶ In another cohort study, da Silva et al suggested a significant relationship between FTO gene rs9939609 variants (T/T, T/A, and A/A genotypes) with anthropometric and dietary intake. All children with the A/A genotype had higher BMI than those with the T/A genotype.⁵⁷ Likewise, other studies suggested that breastfeeding was associated with lower obesity indices like: waist-hip ratio and skinfolds triceps in children.^45,58 Our results showed that the type of feeding affects the expression level of obesity-related genes and breastfeeding can be a protective factor against obesity.

Some active biological compounds in the milk have epigenetic effects which can trigger some processes like; DNA methylation, histone modification, and chromatin remodeling.^59,60 The overexpression of FTO gene prompts through demethylation of specific cytosine phosphate guanine (CpG) sites. Cow milk can decrease DNA methylation at intron 1 of FTO gene via exosomal miRNA-29s and suppression of DNA methyltransferases (DNMT) which leads to overexpression of FTO gene and resulted in obesity. Also, infant’s formula based on cow milk has high levels of branched-chain amino acids (BCAAs) and glutamine that activates the mammalian target of rapamycin complex 1 (mTORC1) and increases FTO gene expression level.⁶¹

In addition, the duration of exclusive breastfeeding interact with SNP of FTO gene and prevent from the high BMI and facilitates the return to normal weight in later life years.^56,62 Jurado et al showed that exclusive breastfeeding less than 3 months happens approximately 4 times in children with obesity.⁶³ Similarly, our study confirmed that the consumption of formula feeding for 5–6 months leads to higher weight gain in infants by down-regulation of FTO and CPT1A gene expression. As well, other studies revealed that the expression level of CPT1A gene in obese and overweight children is higher than that in normal weights and also there is a significant association between the expression level of CPT1A and PPAR-α genes with different health parameters, including BMI, triglyceride and cholesterol levels.^39,40 In this way, Das et al showed an inverse relationship between decreased methylation at two intronic loci of CPT1A and risk of MetS and its components that proposed the CPT1A as a suitable target for the treatment of MetS.⁶⁴

In addition, Díaz-Rúa et al after 1 month administration of high fat (HF) and high protein (HP) diets to adult Wistar rats, reported an increase in CPT1A mRNA level in PBMC before major alterations in fat mass, body weight and HOMA-IR index.⁶⁵ These findings revealed that PBMC is a convenient and proper tissue for assessment of nutritional intervention in positive or negative direction, and is able to swiftly reflect the changes in the health indexes like; HOMA-IR, triglyceride and effective genes such as; CPT1A, cardiotrophin-1 (CT-1), sirtuins1/2 (SIRT1/2), LEP-R and signal-regulatory protein β1 (SIRPβ 1) genes.⁶⁶ Likewise, we used infant’s PBMC for evaluating the effects of nutritional factors on the expression level of key genes in the metabolic pathways which properly reflected the effect of different types of feeding in infants after 5–6 months. In the present study, we found that the expression level of PPAR-α in the breastfeeding group was significantly higher than that in the two other groups. Indeed, these modulatory effects of breastfeeding confirmed its protective effects against overweight and obesity that perform through up- and down-regulation of protective and predisposing genes.

Also, different studies reported that the expression level of effective genes like: SLC27A2, FASN, PPAR-α, and INSR, in breastfed infants are higher than formula-fed.^39,40 PPAR-α which mostly expressed in tissues with a high level of fatty acid catabolism plays a major role in metabolic processes and regulation of obesity. In the prolonged fasting situation with energy deprivation, PPAR-α activates the process of ketogenesis via up-regulation of some genes involved in the fatty acid transportation and β-oxidation. The central role of PPAR-α during fasting is related to up-regulation of different target genes like; PDK4, ACOX1, Acadvl, Hadha, CPT2 and CPT1A that increase plasma ketone body. Also, numerous in-vivo studies showed that PPAR-α deficient mice are more obese with abnormal triglyceride and cholesterol levels. On the other hand, obesity leads to suppression of PPAR-α and its corresponding target gene expression.⁶⁷ Several longitudinal cohort studies with a large number of participants proved the protective effects of breastfeeding against all risk factors of overweight and obesity.^68,69

The unique composition of human milk that contains a balanced proportion of macro- and micro-nutrients plus other biologically active compounds like leptin and ghrelin, seems to be responsible for the numerous beneficial effects of it.⁵⁸ Leptin and ghrelin that secreted in breast milk can influence the proliferation and differentiation of infant adipocytes and prevent excessive weight gain. Accordingly, human milk possesses lower energy and protein content and has more long-chain polyunsaturated fatty acids (LCPUFAs), cholesterol and non-digestible carbohydrate as prebiotics. Interestingly, together with changes in the diet composition of mothers the composition of breast milk will change and provide the metabolic needs of children in different growing steps.^48,70 Generally, these properties modulate some pathways and hormones that resulted in the progress of hunger and satiety self-regulation and slower child growth in breastfed infants.^13,71 Detection of possible mechanisms that involved in the protective effects of human milk against developing obesity is difficult, but it seems that some hormones and inflammatory factors such as insulin and insulin-like growth factor I (IGF-I), leptin, adiponectin, ghrelin, resistin, IL-6, and TNF-α, exist in breast milk and affect fat deposition in infants through modifying the appetite, satiety-responsiveness and reducing over-eating risk.¹⁸ Also, intake of large amounts of protein and amino acids in the first 2 years of life can decrease lipolysis and increase the secretion of insulin and insulin-like growth factor I (IGF-I), which leads to adipogenic activity and differentiation via autocrine-paracrine pathways.^72–74

In addition, formula-fed infants are more likely to empty the bottle in late infancy in comparison to breastfed infants. This may happen when parents encourage infants to finish the contents of the bottle.⁷⁵ Recent evidence has demonstrated that nutrients and genes have a reciprocal relationship, so that some nutrients and bioactive compounds in human milk directly or indirectly can regulate the expression level of different genes.

The present study had some limitations including low sample size. It seems that the evaluation of more children is required to obtain more accurate results and the monitoring should be conducted in several periods of life. Also, we had not enough information about the consumed milk volume, calories and the components of formula feeding. Therefore, we could not recognize the relationship between calorie intake, formula components and the expression level of target genes. The strength of this study was that the participated infants were divided into three different food groups at the beginning of the study, and sampling was performed before the initiation of the solid foods to evaluate the exact effects of the primary feeding in infants.

In summary, the present study indicates that breastfeeding can decrease the expression level of FTO and CPT1A genes and can increase the expression level of PPAR-α gene. Breastfeeding may exert modulatory effects on the expression level of obesity-predisposing genes and protects against several communicable and non-communicable diseases in infancy and in adult life. Hence, breastfeeding as the best type of feeding for infants with a lot of beneficial effects on health and growth should be recommended to all women and their infants. However, further investigations with larger populations are needed to evaluate other obesity-related genes and elucidate the mechanisms of epigenetic effects of human milk.

Abbreviations

BCAAs, branched-chain amino acids; cDNA, complementary DNA; CPT1A, carnitine palmitoyltransferase IA; Ct, threshold cycle; CT-1, cardiotrophin-1; DNMT, DNA methyltransferases; FASN, fatty acid synthase; FTO, fat mass and obesity-associated; INSR, insulin receptor; LCPUFAs, long-chain polyunsaturated fatty acids; LEP-R, leptin receptor; MetS, metabolic syndrome; mTORC1, mammalian target of rapamycin complex 1; PBMC, peripheral blood mononuclear cell; PPAR-α, peroxisome proliferator-activated receptor-α; RT-PCR, reverse transcription-polymerase chain reaction; SIRPβ 1, signal-regulatory protein β1; SIRT1/2, sirtuins1/2; SNPs, single nucleotide polymorphisms.

Ethics Approval

Ethical approval for the study was obtained from the Kermanshah University of Medical Sciences Ethics Committee with code No. IR.KUMS.REC.1397.069

Author Contributions

All authors made substantial contributions to conception and design, acquisition of data, or analysis and interpretation of data; took part in drafting the article or revising it critically for important intellectual content; gave final approval of the version to be published; and agree to be accountable for all aspects of the work.

Acknowledgment

We are grateful to all the parents and infants who took part in this study. This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors. The financial support of the Kermanshah University of Medical Sciences is gratefully acknowledged.

Disclosure

The authors report no conflicts of interest in this work.