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The epigenetic role of breastfeeding in mammary differentiation

Published online by Cambridge University Press:  07 October 2020

Flavia E. Santiano
Affiliation:
Laboratory of Hormones and Cancer Biology, Institute of Medicine and Experimental Biology of Cuyo, IMBECU, CONICET UNCuyo, Mendoza, Argentina
Fiorella Campo Verde Arboccó
Affiliation:
Laboratory of Hormones and Cancer Biology, Institute of Medicine and Experimental Biology of Cuyo, IMBECU, CONICET UNCuyo, Mendoza, Argentina Physiology Department, School of Medicine, University of Mendoza, Mendoza, Argentina
Flavia A. Bruna
Affiliation:
Laboratory of Hormones and Cancer Biology, Institute of Medicine and Experimental Biology of Cuyo, IMBECU, CONICET UNCuyo, Mendoza, Argentina
Leila E. Zyla
Affiliation:
Laboratory of Hormones and Cancer Biology, Institute of Medicine and Experimental Biology of Cuyo, IMBECU, CONICET UNCuyo, Mendoza, Argentina Physiology Department, School of Medicine, University of Mendoza, Mendoza, Argentina
Corina V. Sasso
Affiliation:
Laboratory of Hormones and Cancer Biology, Institute of Medicine and Experimental Biology of Cuyo, IMBECU, CONICET UNCuyo, Mendoza, Argentina
Silvina Gómez
Affiliation:
Laboratory of Hormones and Cancer Biology, Institute of Medicine and Experimental Biology of Cuyo, IMBECU, CONICET UNCuyo, Mendoza, Argentina
Virginia Pistone-Creydt
Affiliation:
Laboratory of Hormones and Cancer Biology, Institute of Medicine and Experimental Biology of Cuyo, IMBECU, CONICET UNCuyo, Mendoza, Argentina
Constanza M. López-Fontana
Affiliation:
Laboratory of Hormones and Cancer Biology, Institute of Medicine and Experimental Biology of Cuyo, IMBECU, CONICET UNCuyo, Mendoza, Argentina
Rubén W. Carón*
Affiliation:
Laboratory of Hormones and Cancer Biology, Institute of Medicine and Experimental Biology of Cuyo, IMBECU, CONICET UNCuyo, Mendoza, Argentina
*
Address for correspondence: Rubén Walter Carón, Laboratorio de Hormonas y Biología del Cáncer, IMBECU, CONICET, CCT-Mendoza. Av. Adrián Ruiz-Leal s/n, CC855, Mendoza, Argentina. Email: rcaron@mendoza-conicet.gob.ar
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Abstract

Maternal milk consumption can cause changes in the mammary epithelium of the offspring that result in the expression of molecules involved in the induction of differentiation, reducing the risk of developing mammary cancer later in life. We previously showed that animals that maintained a higher intake of maternal milk had a lower incidence of mammary cancer. In the present study, we evaluated one of the possible mechanisms by which the consumption of maternal milk could modify the susceptibility to mammary carcinogenesis. We used Sprague Dawley rats reared in litters of 3 (L3), 8 (L8), or 12 (L12) pups per mother in order to generate a differential consumption of milk. Whole mounts of mammary glands were performed to analyze the changes in morphology. Using real-time polymerase chain reaction (PCR), we analyzed the expression of mammary Pinc, Tbx3, Stat6, and Gata3 genes. We use the real-time methylation-specific polymerase chain reaction method to assess the methylation status of Stat6 and Gata3 CpG sites. Our findings show an increase in the size of the epithelial tree and a smaller number of ducts called terminal end buds in L3 vs. L12. We observed an increased expression of mRNA of Stat6, Gata3, Tbx3, and a lower expression of Pinc in L3 with respect to L12. Stat6 and Gata3 are more methylated in the CpG islands of the promoter analyzed in L12 vs. L3. In conclusion, the increased consumption of maternal milk during the postnatal stage generates epigenetic and morphological changes associated with the differentiation of the mammary gland.

Information

Type
Original Article
Copyright
© The Author(s), 2020. Published by Cambridge University Press in association with International Society for Developmental Origins of Health and Disease
Figure 0

Table 1. Sequences and conditions for the RT-qPCR reactions

Figure 1

Table 2. Sequences of the primers for methylation detection

Figure 2

Fig. 1. Body weight variations due to the differential consumption of milk. (a) Variations in weight between L3 and L8 can be observed from Day 39 of life onwards (*p < 0.05), and between L3 and L12 from Day 22 of life (*p < 0.05). No differences in body weight were observed between L8 and L12. (b) On Day 21 of life, body weight variations can be observed between the three groups (***p < 0.001). (c) On Day 55 of life L3 maintained a significantly higher body weight with respect to L12 (***p < 0.001). In turn, L8 also had a higher average weight compared to L12 (*p < 0.05). Values represent mean ± SEM. of 24 animals/group. Comparisons shown in (a) were performed by ANOVA II and Bonferroni’s test. Values shown in (b and c) were compared by ANOVA I and Bonferroni’s test.

Figure 3

Fig. 2. Analysis of the whole mounts of mammary glands from rats at 21 d of age, reared in litters of 3, 8, or 12 pups per mother. (a) Representative photographs of the whole mounts of the mammary glands of animals reared in litters of 3, 8, or 12 pups per mother. (b) The number of TEBs on Day 21 of life is higher in L12 with respect to L8 and L3 (*p < 0.05). (c) The mean width of the ductal tree is similar in the three groups. (d) No changes were observed in the distance from nipple to the end of the epithelial tree (considered the length of the epithelial tree). The data shown in b represent an average of 10–18 fields per mammary gland of 6 animals per group. The data shown in c and d represent measurements of six mammary glands per group. The statistical comparisons were made by ANOVA I and the Bonferroni test as a post-test.

Figure 4

Fig. 3. Analysis of the whole mounts of mammary glands from rats at 55 d of age, nursed in litters of 3, 8, or 12 pups per mother. (a) Representative micro-photographs (100×) of the mammary glands of animals reared in litters of 3, 8, or 12 pups per mother. (b) The number of TEBs was lower in L3 with respect to L8 (**p < 0.01) and L12 (***p < 0.001). (c) No changes were observed in the distance from the lymphatic node (lymph node) to the end of the epithelial tree in the different groups. (d) The distance from the tip of the epithelial tree to the end of the fat pad was greater in L12 with respect to L8 (*p < 0.05) and L3 (*p < 0.01). The values corresponding to the number and size of TEBs represent an average of 10–18 fields per mammary gland of 10–14 animals per group. The data shown in c and d represent measurements of 10–14 mammary glands per group. The comparisons were made by ANOVA I and the Bonferroni test as a post-test.

Figure 5

Fig. 4. Analysis of the mammary expression of genes related to the state of differentiation, by RT-PCR. (a) Stat6 mRNA showed greater expression in L3 with respect to L8 (*p < 0.05) and L12 (**p < 0.01). (b) The expression of Gata3 was higher in L3 vs. L12 (*p < 0.05). (c) The content of Pinc mRNA was increased in L12 with respect to L3 (*p < 0.05) and L8 (**p < 0.01). (d) The expression of Tbx3 is decreased in L12 compared to L3 (*p < 0.05). The values represent the mean ± SEM of 15 animals/group. The comparisons were made using ANOVA I and the Bonferroni test as a post-test.

Figure 6

Fig. 5. Analysis of the methylation level by real-time MSP for Stat6. (a) Melt curves from qPCR of Stat6 at 76°C. (b) Representative polyacrylamide gel of real-time MSP products for Stat6. Each band represents a pool of five samples of converted DNA from each group. (c) The graph bars represent the quantification by densitometry of the bands separated in polyacrylamide gel. Stat6 is mainly found methylated in the CpG island of the promoter analyzed in L12 and L8, and moderately in L3 (*p < 0.05). The comparisons were made by one-sample Z-test.

Figure 7

Fig. 6. Analysis of the methylation level by real-time MSP for Gata3. (a) Melt curves from qPCR of Gata3 at 80°C. (b) Polyacrylamide gel representative of real-time MSP products of Gata3. Each band represents a pool of five samples of converted DNA from each group. (c) The graph bars represent the quantification of the bands by densitometry, isolated in polyacrylamide gel. The promoter region analyzed of Gata3 has higher levels of methylation in L12 than in L3 and L8 (*p < 0.05). The comparisons were made by one-sample Z-test.