Clinical peptidomics for respiratory diseases: matrices, workflows, and translation towards treatable traits, with a focus on COPD

Qingyu Zhou, Yahui Shen · 2026

Read Clinical peptidomics for respiratory diseases: matrices, workflows, and translation towards treatable traits, with a focus on COPD by Qingyu Zhou, Yahui Shen (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-13343862.txt.

Description

BackgroundPeptidomics is an emerging tool for biomarker discovery. By capturing end products and active peptides generated during protein breakdown, it helps reveal short peptides linked to disease. This narrative review centers on chronic obstructive pulmonary disease (COPD) and synthesizes recent advances in respiratory peptidomics across patient-accessible matrices and laboratory workflows toward treatable-trait translation.

Catalog record

CREATORQingyu Zhou, Yahui Shen
YEAR2026
COLLECTIONPAPERS
FORMATTXT
FILE SIZE65 KB
VERSION1.0
LICENSECC BY 4.0
RIGHTSCC BY
SOURCEEurope PMC

Source: https://europepmc.org/articles/PMC13343862

Browse the full library · About the Tower of Babel