N-Lactoyl amino acids: insights from metabolite genome-wide association studies and phenome-wide association analysis

N-lactoyl-amino acids (Lac-AA) are emerging as important metabolites with diverse physiological roles. This study integrates metabolomics and genomics to investigate the genetic determinants and clinical relevance of three Lac-AA: N-Lactoyl phenylalanine (Lac-Phe), N-Lactoyl tyrosine (Lac-Tyr), and N-Lactoyl valine (Lac-Tyr). We conducted a metabolome-wide association study (mGWAS) on 2811 participants followed by a phenome-wide association study (PheWAS) and pathway enrichment analysis. Our mGWAS revealed modest genetic contributions to Lac-AA levels, with genome-wide significant loci identified for Lac-Tyr and Lac-Val, but not for Lac-Phe. PheWAS analysis linked these genetic variants to key clinical traits, including white blood cell count, platelet count, and glucose levels. Pathway enrichment highlighted the involvement of Lac-AA in immune-metabolic crosstalk, particularly in inflammation and energy metabolism. These findings suggest that Lac-AA levels are primarily influenced by dynamic metabolic or inflammatory states rather than fixed genetic factors. Our results underscore the potential of Lac-AA as metabolic sensors and biomarkers at the intersection of cellular energy states and systemic inflammation, opening new avenues for research in metabolic and inflammatory disorders.

Authors

Institutions

Publication Details

Journal
Human Molecular Genetics
Published
2025-09-20
DOI
https://doi.org/10.1093/hmg/ddaf152
Citations
1
Primary Topic
Metabolomics and Mass Spectrometry Studies
Type
article
Field-Weighted Citation Impact
0.81
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

N-Lactoyl amino acids: insights from metabolite genome-wide association studies and phenome-wide association analysis

Mashael Al‐Shafai, Mohamed A. Elrayess, Asma A. Elashi, Ilhame Diboun et al.
1 citations
Human Molecular Genetics
Metabolomics and Mass Spectrometry Studies
0.81
article

N-Lactoyl amino acids: insights from metabolite genome-wide association studies and phenome-wide association analysis

Mashael Al‐Shafai, Mohamed A. Elrayess, Asma A. Elashi, Ilhame Diboun, Khaled Naja, Aleem Razzaq, Omar Albagha, Najeha Anwardeen
article en
1 citations

Abstract

N-lactoyl-amino acids (Lac-AA) are emerging as important metabolites with diverse physiological roles. This study integrates metabolomics and genomics to investigate the genetic determinants and clinical relevance of three Lac-AA: N-Lactoyl phenylalanine (Lac-Phe), N-Lactoyl tyrosine (Lac-Tyr), and N-Lactoyl valine (Lac-Tyr). We conducted a metabolome-wide association study (mGWAS) on 2811 participants followed by a phenome-wide association study (PheWAS) and pathway enrichment analysis. Our mGWAS revealed modest genetic contributions to Lac-AA levels, with genome-wide significant loci identified for Lac-Tyr and Lac-Val, but not for Lac-Phe. PheWAS analysis linked these genetic variants to key clinical traits, including white blood cell count, platelet count, and glucose levels. Pathway enrichment highlighted the involvement of Lac-AA in immune-metabolic crosstalk, particularly in inflammation and energy metabolism. These findings suggest that Lac-AA levels are primarily influenced by dynamic metabolic or inflammatory states rather than fixed genetic factors. Our results underscore the potential of Lac-AA as metabolic sensors and biomarkers at the intersection of cellular energy states and systemic inflammation, opening new avenues for research in metabolic and inflammatory disorders.

Human Molecular GeneticsVol. 34(22)
Edinburgh Cancer Research (GB), Sidra Medical and Research Center (QA), Hamad bin Khalifa University (QA), Qatar University (QA)
Openalex Percentile: Top 23%
Metabolomics and Mass Spectrometry Studies
0.81
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.