Data Sheet 1_Hyperuricemia was associated with metabolic response against brain injury ins

1133 male participants aged 18–35 from three ethnic groups (Hans, Tibetans, Minorities) across three ascending altitudes in Tibet were enrolled in this cross-sectional study. The research, authored by Xue-Wen Ren and last updated in April 2026, compares metabolic and brain injury biomarkers to determine if hyperuricemia is a protective metabolic response against brain injury in high-altitude adaptation. The dataset is a 1.1 MB document containing the study's analysis and results.

Use Cases

• Analyzing the relationship between serum uric acid levels and altitude across different ethnic groups based on the described biomarker comparisons.
• Investigating ethnic-specific neuroendocrine mechanisms for brain protection from oxidative stress based on the described findings for pan-axonal (PGP 9.5) and astrocyte (GFAP) markers.
• Studying the association between xanthine oxidoreductase (XOR) activity, insulin resistance (HOMA-IR), and GLP-1 with altitude adaptation based on the described results.
• Comparing arteriosclerosis index and neural biomarker trends between normal and high serum uric acid groups across different ethnicities and altitudes.

Strengths

• Includes data from 1133 participants, providing a substantial sample size for analysis.
• Compares three distinct ethnic groups (Hans, Tibetans, Minorities) across three ascending altitudes, enabling cross-group and altitude-based analysis.
• Analyzes a wide range of specific metabolic and neural biomarkers mentioned in the description, such as serum UA, XOR, HOMA-IR, GLP-1, PGP 9.5, and GFAP.

Limitations

• The dataset is a 1.1 MB DOCX file; the underlying structured data (rows, columns) is not directly accessible and must be extracted from the document.
• Column-level documentation is absent; field semantics and raw data values must be inferred or extracted from the text.
• The study focuses on a specific demographic (males aged 18–35), which may limit generalizability.

Provenance

Source

figshare

Collection Method

Cross-sectional study enrolling participants from three ethnic groups across three ascending altitudes in Tibet.

Time Range

Study period not specified in input.

Freshness

Last updated 2026-04-23 04:21:50

Geography

Tibet, covering three ascending altitudes.