Uncovering sodium overload-associated gene signatures in chronic obstructive pulmonary disease through integrated bioinformatics and machine learning

Zhongzhou Zou, Jietao Chen, Zutong Mai, Ningcheng Wu, Yuxuan Wang, Ruihong Xu, Zhonghui Jiang, Guoyong Chen, Lei Xian · 2026

Read Uncovering sodium overload-associated gene signatures in chronic obstructive pulmonary disease through integrated bioinformatics and machine learning by Zhongzhou Zou, Jietao Chen, Zutong Mai, Ningcheng Wu, Yuxuan Wang, Ruihong Xu, Zhonghui Jiang, Guoyong Chen, Lei Xian (2026) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-13559377.txt.

Description

Zhongzhou Zou and co-authors hunt gene signatures of sodium overload in chronic obstructive pulmonary disease in a 2026 study. Airway cells live or die by salt and water balance, and sodium mishandling dries mucus and injures tissue. Two lung datasets were merged and combed against a fixed list of sodium-related genes.

Network analysis and a dozen learning algorithms distilled a compact marker panel. The panel held up in an outside cohort, in single-cell data, and in bench tests on patient samples. Mucus severity checks probed its robustness. The authors offer the panel as a window on a neglected axis of lung disease.

Catalog record

CREATORZhongzhou Zou, Jietao Chen, Zutong Mai, Ningcheng Wu, Yuxuan Wang, Ruihong Xu, Zhonghui Jiang, Guoyong Chen, Lei Xian
YEAR2026
COLLECTIONPAPERS
FORMATTXT
FILE SIZE38 KB
VERSION1.0
LICENSECC BY 4.0
RIGHTSCC BY
SOURCEEurope PMC

Source: https://europepmc.org/articles/PMC13559377

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