Overview
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Key numbers
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- in maternal hair samples (N = 119) affect diversity and composition of the
- reaching homeostasis around 3 years of age6,7. The initial coloniza- The 146 postpartum women enrolled in this study had a mean age of
- tion of the gut microbiome is extraordinarily sensitive to external 32.8 ( ± 3.5) years old, with a relatively normal body mass index (mean
- stimuli8. Hence, infancy represents a critical window for the colo- 23.1 ± 2.9 kg/m2), more than 12 years of education (97.8%), and an
- nization and development of the gut microbiome, and early life average gestational week of 38.8 ( ± 1.1). The mean birth weight of the
- modulation of the microbiome may have consequences for health infants (N = 146, the sex ratio about 1:1) was 3257 ( ± 397) g. Approxi-
- later in life. mately half of the infants were breast-fed, and 60.2% of the infants
- role in microbial colonization. Previous studies have confirmed that (43.3%) and Pseudomonadota (26.5%) were the dominant taxa within
- biotics in early life can alter the structure and function of the initial a higher relative abundance of Bacillota (67.5%) and Actinomycetota
- neonatal gut microbiome, with profound implications for host (13.6%) (Fig. S1). Furthermore, microbial diversity significantly differed
- between arsenic and alpha diversity was observed in the whole bacterium (34.2%) and Escherichia-Shigella (9.55%), but compared to
- exposed to peripartum antibiotics21. Urinary arsenic in infants was and Collinsella was increased to 13.5% and 4.02%, respectively, while
- related to the composition of the gut microbiome at 6 weeks of age. Klebsiella decreased from 9.96% − 0.40% as well as Enterococcus from
- Eight genera (six within the phylum Bacillota) were enriched under 5.56% to 0.68%. Metagenomic data from maternal and infant stool
- gut microbiome. exposure to trace elements in infants (Table 1). Compared to >90% of
- arsenic, and nickel was slightly low at 67%, 78%, and 82%. The med- manganese.
- 2.59 μg/g, respectively. Except for mercury and selenium, there were deviation increase in selenium concentration, 95% CI (0.002, 0.032),
- microbiome at different postpartum visits. Phyla with lower abundance are (First, n = 13; Second, n = 6; Third, n = 13) at different postpartum visits. The vertical
- stool samples, stratified by the visit time into six categories: Infant_First (n = 91), and (E), the box ranges from the 25th to the 75th percentile, and the median value
- Infant_Second (n = 58), Infant_Third (n = 29), Mother_First (n = 89), Mother_Second (middle line), while the whiskers extend from each quartile to the minimum and
- (n = 56), and Mother_Third (n = 30). C Principal coordinate analysis of paired maximum values within 1.5 × interquartile range (IQR) of the box. Data points
- per standard deviation increase in copper concentration, 95% CI Metabolic and functional profiles of the gut microbiome
- iron concentration, 95% CI (2.05, 4.75), p = 4.18e-05) and Phylogenetic variability in metabolic profiles of the infant gut microbiome at dif-
- centration, 95% CI (0.283, 0.622), p = 1.73e-05). Prenatal exposure to upregulated and 2 down-regulated) changed significantly between 3
- deviation increase in manganese concentration, 95% CI (12.3, 84.4), and 49 down-regulated) between 6 and 12 months of age. Linking
- increase in manganese concentration, 95% CI (1.14, 10.6), p = 0.024), calculating the Spearman correlation coefficient (Fig. 5C, D). Clear
- increase in mercury concentration, 95% CI (-2.50, −0.120), p = 0.048) in between the second and third postpartum visit. These products of
- centration, 95% CI (1.02, 5.07), p = 0.014) in forceps delivery infants. partum visit) was associated positively with Streptococcus, and
- abundance > 0.5%). As shown in Fig. 4, prenatal exposure to high level while both taxonomic composition and metabolic capacity in infants
- stratified infants. The box ranges from the 25th to the 75th percentile, and the ASVs. Statistical test was permutational multivariate analysis of variance with FDR
- minimum and maximum values within 1.5 × interquartile range (IQR) of the box. n = 56, 36, 21; Cesarean delivery, n = 18, 12, 5; Forceps delivery, n = 17, 10, 3; Breast-
- Data points beyond this range are considered outliers (single points). Statistical test fed, n = 31, 17, 6; Mix-fed, n = 43, 30, 15; Male, n = 44, 28, 15; Female, n = 47, 30, 14 of
- Table 1 | Concentrations of trace elements in the maternal hairs (N = 119, μg/g)
- Class Elements DF Mean (± SD) Min P25 P50 P75 Max
- DF detection frequency (%), SD standard deviation, Min, the minimum value; P25, percentile 25; P50, percentile 50; P75, percentile 75; Max, the maximum value; n.d., not detected.
- percentile, and the median value (middle line), while the whiskers extend from each 10; Medium copper, n = 41, 26, 13; Low copper, n = 17, 9, 3 of three visits, respec-
- quartile to the minimum and maximum values within 1.5 × interquartile range (IQR) tively. Source data are provided as a Source Data file.
- Manganese (High, n = 21; Low, n = 22) Mercury (High, n = 20; Low, n = 20) High exposure (> P25)
- Aluminum (High, n = 21; Low, n = 21) Barium (High, n = 22; Low, n = 23)
- Copper (High, n = 23; Low, n = 17) Nickel (High, n = 22; Low, n = 19)
- We discovered that 27.8% (73 types) of all ARGs were known as MDR We recruited 146 mother-infant pairs and collected hair samples from
- ARGs of paired mother-infant at 3 months postpartum (N = 8 pairs). microbiome between low (<P25, percentile 25 of element concentra-
Methods (brief)
- samples at 3, 6, and 12 months after delivery for amplicon sequencing
- in maternal hair samples (N = 119) affect diversity and composition of the
- The initial colonization of the gut microbiome is influenced by were born via vaginal delivery. We collected hair samples from 119
- several intrinsic and extrinsic factors, such as delivery mode and mothers in the postnatal 6 weeks outpatient service, and stool samples
- nate first encounters an immense quantity and diversity of maternal samples and stool samples are matched in the 83 mother-infant pairs.
- neonates16. A key factor shaping the neonatal microbiome devel- sequences of 353 stool samples were acquired by 16S rRNA sequencing
- high arsenic exposure, and fifteen genera including Bacteroides and samples also confirmed the trend of development in infant gut
- materials, hair samples are collected non-invasively and provide an delivery, vaginal delivery, and cesarean delivery, and between infants
- associations with prenatal exposure to trace elements and maternal Hair samples provided by 119 mothers were used to assess prenatal
- stool samples, stratified by the visit time into six categories: Infant_First (n = 91), and (E), the box ranges from the 25th to the 75th percentile, and the median value
- mother-infant samples based on the unweighted UniFrac distance of ASVs. The box beyond this range are considered outliers (single points). For (B) and (E), statistical
- plots below showed paired mother-infant samples projected on the first principal test was Kruskal–Wallis test with FDR correction for multiple test comparisons, p’
- (−0.055, −0.008), p = 0.020). Associations between most trace ele- A total of 3867 metabolites were identified in 198 stool samples. At
- delivery mode, feeding patterns, and infant sex. For example, in mix- be readily differentiated in infant samples, not in maternal samples
- We discovered that 27.8% (73 types) of all ARGs were known as MDR We recruited 146 mother-infant pairs and collected hair samples from
- Fig. 6 | Expansion and diversification of microbial community structure and maternal and infant stool samples. The box ranges from the 25th to the 75th
- postpartum visits. The relative abundance of pathways in the given sample was (IQR) of the box. Data points beyond this range are considered outliers (single
- Fig. 7 | Characterization of ARG profiles in the stool samples of paired mother- analysis based on Bray-Curtis distance of ARGs relative abundances in the maternal
Implications
This page makes the source discoverable for category-level evidence routing. Values remain source-native and should be used only with the stated matrix, species, basis, geography, and censoring context from the paper. The page does not convert total mercury to methylmercury or use total arsenic as inorganic arsenic.
Wiki pages this source may touch
- Fish — marine, non-predatory (sardines, anchovies, salmon, cod)
- Baby Wipes
- Mercury
- Mercury
- Cadmium
- Lead
- Arsenic
- Nickel
- Aluminum
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