Betaine Supplementation Improves 60 km Cycling Time Trial Performance and One-Carbon Metabolism in Cyclists During Recovery

Betaine supplementation modestly improved 60 km cycling performance but had no effect on gut permeability. The metabolomics data supported a strong influence of 2-week intake of betaine on the one-carbon metabolism pathway during the 24 h recovery period.

Authors

Institutions

Publication Details

Journal
Nutrients
Published
2025-08-26
DOI
https://doi.org/10.3390/nu17172765
Primary Topic
Muscle metabolism and nutrition
Type
article
Field-Weighted Citation Impact
0.00

Funders

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

Betaine Supplementation Improves 60 km Cycling Time Trial Performance and One-Carbon Metabolism in Cyclists During Recovery

James C. Williams, David C. Nieman, Kevin Lambirth, Camila A. Sakaguchi et al.
Nutrients
Muscle metabolism and nutrition
article

Betaine Supplementation Improves 60 km Cycling Time Trial Performance and One-Carbon Metabolism in Cyclists During Recovery

James C. Williams, David C. Nieman, Kevin Lambirth, Camila A. Sakaguchi, Jackie Lawson
article en

Abstract

Betaine supplementation modestly improved 60 km cycling performance but had no effect on gut permeability. The metabolomics data supported a strong influence of 2-week intake of betaine on the one-carbon metabolism pathway during the 24 h recovery period.

NutrientsVol. 17(17)
University of North Carolina at Charlotte (US), Appalachian State University (US)
Appalachian State University
Openalex Percentile: Top 76%
Muscle metabolism and nutrition
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.