Table 1_Human milk oligosaccharide composition, concentrations and association with matern

Longitudinal data from 248 mothers in the GUSTO cohort at 3-weeks (n=205) and 3-months (n=114) postpartum, with 71 matched cases. The dataset relates concentrations of 19 human milk oligosaccharides to maternal sociodemographic, genetic, and obstetric characteristics. It was authored by Han Zhang and shared under a CC-BY-4.0 license on figshare.

Use Cases

• Modeling the association between maternal secretor status and oligosaccharide concentrations based on 2'-FL and LNFP-I levels.
• Analyzing longitudinal changes in HMO profiles from 3-weeks to 3-months postpartum.
• Investigating the influence of preterm delivery on specific HMO concentrations like 3'-sialyllactose.
• Studying the concordance between phenotypic secretor status and genetic markers like the FUT2 rs1047781 SNP.
• Comparing HMO composition (e.g., 2'-FL and 3-FL proportions) across Chinese, Malay, and Indian ethnicities.

Strengths

• Includes longitudinal measurements from two time points (3-weeks and 3-months) for a subset of 71 matched cases.
• Quantifies 19 specific human milk oligosaccharides, with percentages provided for key HMOs like 2'-FL and 3-FL.
• Links biological data to multiple maternal factors including ethnicity, genetics, and obstetric characteristics.
• Reports a 97% concordance between phenotypic secretor status and genetic prediction from the FUT2 SNP.

Limitations

• Row count is unknown, which may limit suitability assessment for large-scale analyses.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset is small (286.8 KB), indicating limited scope and sample size.

Provenance

Source

figshare, author Han Zhang.

Collection Method

Data likely gathered from the prospective GUSTO mother-offspring cohort study, with HMOs quantified by HPLC.

Time Range

Postpartum periods of 3-weeks and 3-months.

Freshness

Last updated 2026-05-28 04:51:02; freshness should be verified.

Geography

Multi-ethnic Asian cohort (Chinese 73.8%, Malay 14.5%, Indian 11.7%).