Proteomics

Dataset Information

0

Proteomics and metabonomics analyses of Covid-19 complications in patients with pulmonary fibrosis


ABSTRACT: Pulmonary fibrosis is a devastating disease, and the pathogenesis of this disease is not completely clear. Here, the medical records of 85 Covid-19 cases were collected, among which fibrosis and progression of fibrosis were analyzed in detail. Next, data independent acquisition (DIA) quantification proteomics and untargeted metabolomics were used to screen disease-related signaling pathways through clustering and enrichment analysis of the differential expression of proteins and metabolites. The main imaging features were lesions located in the bilateral lower lobes and involvement in five lobes. The closed association pathways were FcγR-mediated phagocytosis, PPAR signaling, TRP-inflammatory pathways, and the urea cycle. Our results provide evidence for the detection of serum biomarkers and targeted therapy in patients with Covid-19.

ORGANISM(S): Homo Sapiens

SUBMITTER: Wensheng Lu  

PROVIDER: PXD024311 | iProX | Mon Feb 22 00:00:00 GMT 2021

REPOSITORIES: iProX

altmetric image

Publications

Proteomics and metabonomics analyses of Covid-19 complications in patients with pulmonary fibrosis.

Yang Jianrong J   Chen Chunxia C   Chen Wan W   Huang Luying L   Fu Zhao Z   Ye Kun K   Lv Liwen L   Nong Zhihuang Z   Zhou Xing X   Lu Wensheng W   Lu Wensheng W   Zhong Mei M  

Scientific reports 20210716 1


Pulmonary fibrosis is a devastating disease, and the pathogenesis of this disease is not completely clear. Here, the medical records of 85 Covid-19 cases were collected, among which fibrosis and progression of fibrosis were analyzed in detail. Next, data independent acquisition (DIA) quantification proteomics and untargeted metabolomics were used to screen disease-related signaling pathways through clustering and enrichment analysis of the differential expression of proteins and metabolites. The  ...[more]

Similar Datasets

2020-12-01 | GSE149878 | GEO
2022-02-17 | PXD026116 | Pride
2022-07-22 | GSE180622 | GEO
2025-03-31 | E-MTAB-14495 | biostudies-arrayexpress
2022-08-28 | GSE159585 | GEO
2025-02-24 | GSE167410 | GEO
2024-06-16 | PXD046103 | Pride
2022-05-03 | GSE201790 | GEO
2022-01-21 | E-MTAB-11162 | biostudies-arrayexpress
2022-02-02 | GSE168998 | GEO