Conceptio › Archive › ClinicalTrials.gov
ClinicalTrials.gov public full text Public Domain

The Effect of Cycling, Running, and Playing Rugby on Three Biomarkers That May Indicate Brain Injury

Appalachian State University · 2021
ClinicalTrials.gov · Datasets · License: Public Domain · 2021
Open Source ↗
na
The goal of this clinical trial was to determine if and how the biomarkers neurofilament light (NfL), brain lipid binding protein (BLBP), and amyloid precursor protein (APP) accumulated over 72 hours in venous blood following running, cycling, or playing rugby as compared to a non-exercising control group. Participants in this study were recreationally active and healthy males and females 18 - 49 years of age. The main questions it aimed to answer was: Do NfL, BLBP, and APP increase following exercise? Researchers compared the accumulation of NfL, BLBP, and NfL among runners, cyclists, rugby players, controls, and between sexes in each category. Participants were asked to either run, bike, play a rugby match, or abstain from exercise. In the exercising group, blood was drawn from a vein prior to the activity, immediately after the activity, 30 minutes after the activity, 1 hour after the activity, 24 hours after the activity, 48 hours after the activity, and 72 hours after the activity. In the non-exercising group blood was drawn from a vein one time.
Conceptio Open Archive

Analyze & explore related research in Conceptio

Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.

This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗

Related documents

Record · ID 1307054
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive