Metabolomics

Dataset Information

0

Insights into the early-life chemical exposome of Nigerian infants and potential correlations with the developing gut microbiome


ABSTRACT:

Early-life exposure to natural and synthetic chemicals can impact acute and chronic health conditions. Here, a suspect screening workflow anchored on high-resolution mass spectrometry was applied to elucidate xenobiotics in breast milk and matching stool samples collected from Nigerian mother-infant pairs (n = 11) at three time points. Potential correlations between xenobiotic exposure and the developing gut microbiome, as determined by 16S rRNA gene amplicon sequencing, were subsequently explored. Overall, 12,192 and 16,461 features were acquired in the breast milk and stool samples, respectively. Following quality control and suspect screening, 562 and 864 features remained, respectively, with 149 of these features present in both matrices. Taking advantage of 242 authentic reference standards measured for confirmatory purposes of food bio-actives and toxicants, 34 features in breast milk and 68 features in stool were identified and semi-quantified. Moreover, 51 and 78 features were annotated with spectral library matching, as well as 416 and 652 by in silico fragmentation tools in breast milk and stool, respectively. The analytical workflow proved its versatility to simultaneously determine a diverse panel of chemical classes including mycotoxins, endocrine-disrupting chemicals (EDCs), antibiotics, plasticizers, perfluorinated alkylated substances (PFAS), and pesticides, although it was originally optimized for polyphenols. Spearman rank correlation of the identified features revealed significant correlations between chemicals of the same classification such as polyphenols. One-way ANOVA and differential abundance analysis of the data obtained from stool samples revealed that molecules of plant-based origin elevated as complementary foods were introduced to the infants’ diets. Annotated compounds in the stool, such as tricetin, positively correlated with the genus Blautia. Moreover, vulgaxanthin negatively correlated with Escherichia-Shigella. Despite the limited sample size, this exploratory study provides high-quality exposure data of matched biospecimens obtained from mother-infant pairs in sub-Saharan Africa and shows potential correlations between the chemical exposome and the gut microbiome.

INSTRUMENT(S): Liquid Chromatography MS - negative - reverse phase

PROVIDER: MTBLS8792 | MetaboLights | 2025-08-07

REPOSITORIES: MetaboLights

Dataset's files

Source:
Action DRS
003_BM_ProcessBlank_rep1.abf Other
004_BM_ProcessBlank_rep2.abf Other
005_BM_ProcessBlank_rep3.abf Other
011_BM_QC_256xDilute.abf Other
012_BM_QC_64xDilute.abf Other
Items per page:
1 - 5 of 118
altmetric image

Publications

Insights into the early-life chemical exposome of Nigerian infants and potential correlations with the developing gut microbiome.

Oesterle Ian I   Ayeni Kolawole I KI   Ezekiel Chibundu N CN   Berry David D   Rompel Annette A   Warth Benedikt B  

Environment international 20240522


Early-life exposure to natural and synthetic chemicals can impact acute and chronic health conditions. Here, a suspect screening workflow anchored on high-resolution mass spectrometry was applied to elucidate xenobiotics in breast milk and matching stool samples collected from Nigerian mother-infant pairs (n = 11) at three time points. Potential correlations between xenobiotic exposure and the developing gut microbiome, as determined by 16S rRNA gene amplicon sequencing, were subsequently explor  ...[more]

Similar Datasets

| PRJEB74322 | ENA
2023-10-26 | MTBLS2442 | MetaboLights
2015-09-10 | GSE63082 | GEO
2015-09-10 | GSE63083 | GEO
2015-09-10 | E-GEOD-63082 | biostudies-arrayexpress
2021-06-04 | GSE176118 | GEO
| PRJNA604086 | ENA
2015-09-10 | E-GEOD-63083 | biostudies-arrayexpress
2010-11-26 | GSE24451 | GEO
2023-10-18 | MSV000093140 | GNPS