Correction: Integrated bioinformatics-based identification of proliferative diabetic retinopathy and idiopathic pulmonary fibrosis: Focus on fibrosis and immune infiltration
Juanhui Cao, Fangyuan Dong, Xianfeng Li, Xuechun Zhu
Abstract
Genes, proteins, chemicals, diseases, species, mutations and cell lines named across the full text — each resolved to its canonical identifier and authoritative record.
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Taxonomy
TopicsRetinal Imaging and Analysis · Machine Learning in Healthcare · Radiomics and Machine Learning in Medical Imaging
In the Discussion section, there is an error in the second sentence of the seventh paragraph. The correct sentence is: To begin with, THBS1 activates latent TGF-β by direct binding, releasing active TGF-β, the most potent fibrosis inducer [53,54].
The reference list from the paper itself. Each links out to its DOI / PubMed record.
- 1Cao J, Dong F, Li X, Zhu X. Integrated bioinformatics-based identification of proliferative diabetic retinopathy and idiopathic pulmonary fibrosis: Focus on fibrosis and immune infiltration. P Lo S One. 2026;21(2):e 0343398. doi: 10.1371/journal.pone.0343398 41729975 PMC 12928582 · doi ↗ · pubmed ↗