2020
DOI: 10.1080/19490976.2020.1760711
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Human milk microbiota development during lactation and its relation to maternal geographic location and gestational hypertensive status

Abstract: Bacteria in human milk could directly seed the infant intestinal microbiota, while information about how milk microbiota develops during lactation and how geographic location, gestational hypertensive status, and maternal age influence this process is limited. Here, we collected human milk samples from mothers of term infants at the first day, 2 weeks, and 6 weeks postpartum from 117 longitudinally followed-up mothers (age: 28.7 ± 3.6 y) recruited from three cities in China. We found that milk microbial divers… Show more

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Cited by 35 publications
(24 citation statements)
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“…Breastfeeding, maternal diet, pre-gestational BMI, weight gain over pregnancy, maternal age, genetics, and geographical location have been reported to influence breast milk microbial composition [ 8 , 9 , 15 , 17 ]. We have previously reported the impact of maternal diet on breast milk microbiota [ 8 ] in the same population being the fiber, and that both plant and animal proteins are the most important contributors.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…Breastfeeding, maternal diet, pre-gestational BMI, weight gain over pregnancy, maternal age, genetics, and geographical location have been reported to influence breast milk microbial composition [ 8 , 9 , 15 , 17 ]. We have previously reported the impact of maternal diet on breast milk microbiota [ 8 ] in the same population being the fiber, and that both plant and animal proteins are the most important contributors.…”
Section: Discussionmentioning
confidence: 99%
“…Results regarding the potential impact of maternal body mass index (BMI) and weight gain over pregnancy on breast milk microbiota are also still contradictory [ 13 , 14 , 15 , 16 ]. Similarly, while other studies found differences in milk microbiota according to lactation period [ 13 , 17 ] and feeding method [ 9 ], others reported a stable composition over time [ 18 ]. Therefore, it would be essential to provide evidence on the possible factors that shape the composition of breast milk microbiota.…”
Section: Introductionmentioning
confidence: 86%
“…Although there are higher complications with advanced maternal age [ 65 ], it has been shown that variables of maternal prenatal factors including geographic location, gestational hypertensive status, and maternal age did not affect the diversity of gut microbial taxa composition [ 66 ].…”
Section: Discussionmentioning
confidence: 99%
“…Indeed, a growing literature supporting the crucial roles exerted by the human milk microbiota in maternal and infant health, in conjunction with advances in high-throughput sequencing (HTS) technologies, have led to a rapidly growing interest in the study of this microbial community and its variation, mainly in relation to maternal and infant factors. In this regard evidence suggests the existence of a strong inter-individual variation in the composition of the human milk microbiota across different populations, in relation to variable delivery factors ( Cabrera-Rubio et al., 2016 ; Hoashi et al., 2016 ; Asbury et al., 2020 ), lactation stage ( Khodayar-Pardo et al., 2014 ), maternal conditions (either chronic pre-pregnancy situations or those developed during pregnancy) ( LeMay-Nedjelski et al., 2020 ; Volery et al., 2020 ; Wan et al., 2020 ), lifestyle habits ( Moossavi et al., 2019 ; Padilha et al., 2020 ), psycho-social and economic conditions ( Ojo-Okunola et al., 2019 ), and infant health outcomes ( Demmelmair et al., 2020 ) as summarized previously in Ruiz et al (2019) and Lackey et al (2019) . More recently, a combination of HTS and culturomic approaches has further supported the existence of a diversity of viable bacterial cells in healthy human milk wider than previously anticipated, and has offered novel opportunities to conduct mechanistic studies on the metabolic potential of this microbial community ( Schwab et al., 2019 ; Togo et al., 2019 ; Treven et al., 2019 ).…”
Section: Introductionmentioning
confidence: 99%