Computational analysis of SULT1A1 allozymes reveals potential mechanisms of inter-individual variability in (poly)phenol metabolism

Inter-individual variability in (poly)phenol metabolism can significantly influence health effects, yet its mechanisms are poorly understood. Through a validated multi-tiered computational workflow, this study explored how a single nucleotide polymorphism (SNP) in the SULT1A1 gene (SULT1A1-F247L, forming SULT1A1*5 allozyme) might influence the sulfation of 20 dietary (poly)phenols. The methodological approach combined molecular docking and molecular dynamics simulations, monitoring hydroxy group orientation toward the PAPS cofactor sulfate – an essential requirement for efficient sulfation. Among the (poly)phenols examined, several compounds were stably recruited by both allozymes, suggesting limited polymorphism effects on their sulfation. Conversely, SNP-specific sulfation preferences were recorded for daidzein, isourolithin A, and various γ-valerolactone derivatives. This study shows how SNPs may selectively influence metabolic fates of specific (poly)phenols regardless of chemical subclasses, providing a valuable proof-of-principle addressing the variability of their metabolism among humans. This methodology provides a basis for understanding the mechanisms underlying inter-individual variability, explaining individual responses to (poly)phenol-rich foods.

Authors

Institutions

Publication Details

Journal
Scientific Reports
Published
2026-08-25
DOI
https://doi.org/10.1038/s41598-026-65193-1
Primary Topic
Phytoestrogen effects and research
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
article

Computational analysis of SULT1A1 allozymes reveals potential mechanisms of inter-individual variability in (poly)phenol metabolism

Florinda Perugino, Luca Dellafiora, Letizia Bresciani, Nicole Tosi et al.
Scientific Reports
Phytoestrogen effects and research
article

Computational analysis of SULT1A1 allozymes reveals potential mechanisms of inter-individual variability in (poly)phenol metabolism

Florinda Perugino, Luca Dellafiora, Letizia Bresciani, Nicole Tosi, Lorenzo Pedroni, Pedro Mena, Daniele Del Rio, Marco Codeluppi, Nicola Luigi Bragazzi
article en

Abstract

Inter-individual variability in (poly)phenol metabolism can significantly influence health effects, yet its mechanisms are poorly understood. Through a validated multi-tiered computational workflow, this study explored how a single nucleotide polymorphism (SNP) in the SULT1A1 gene (SULT1A1-F247L, forming SULT1A1*5 allozyme) might influence the sulfation of 20 dietary (poly)phenols. The methodological approach combined molecular docking and molecular dynamics simulations, monitoring hydroxy group orientation toward the PAPS cofactor sulfate – an essential requirement for efficient sulfation. Among the (poly)phenols examined, several compounds were stably recruited by both allozymes, suggesting limited polymorphism effects on their sulfation. Conversely, SNP-specific sulfation preferences were recorded for daidzein, isourolithin A, and various γ-valerolactone derivatives. This study shows how SNPs may selectively influence metabolic fates of specific (poly)phenols regardless of chemical subclasses, providing a valuable proof-of-principle addressing the variability of their metabolism among humans. This methodology provides a basis for understanding the mechanisms underlying inter-individual variability, explaining individual responses to (poly)phenol-rich foods.

Scientific Reports
University of Parma (IT)
Dipartimenti di Eccellenza, European Commission, Ministero dell’Istruzione, dell’Università e della Ricerca, Ministero dell'Università e della Ricerca, European Research Council
Zero hunger
Openalex Percentile: Top 11%
Phytoestrogen effects and research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.