Integrative analysis identifies oxidative stress biomarkers in non-alcoholic fatty liver disease via machine learning and weighted gene co-expression network analysis.

Authors:
Wang H; Cheng W; Hu P; Ling T; Hu C and 5 more

Journal:
Front Immunol

Publication Year: 2024

DOI:
10.3389/fimmu.2024.1335112

PMCID:
PMC10927810

PMID:
38476236

Journal Information

Full Title: Front Immunol

Abbreviation: Front Immunol

Country: Unknown

Publisher: Unknown

Language: N/A

Publication Details

Subject Category: Allergy and Immunology

Available in Europe PMC: Yes

Available in PMC: Yes

PDF Available: No

Transparency Score
3/6
50.0% Transparent
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"Conflict of interest The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest."

Evidence found in paper:

"The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This research was funded by Jiangsu medical scientific research project of Jiangsu Health Commission, Jiangsu Province Capability Improvement Project through Science, Technology and Education, Jiangsu Provincial Medical Key Discipline Cultivation Unit (JSDW202235), the National Natural Science Foundation of China (grant numbers 81870409), the 789 Outstanding Talent Program of SAHNMU (789ZYRC202070102), China Postdoctoral Science Foundation (2023M730675), and Shanghai Sailing Program (23YF1406800)."

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Open Access
Paper is freely available to read
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Last Updated: Aug 05, 2025