Introduction

Acute respiratory distress syndrome (ARDS) is a potentially fatal clinical syndrome that occurs as a result of diversified pulmonary and extrapulmonary factors, characterized by excessive lung inflammatory response, impaired tight junction of pulmonary epithelium, decreased pulmonary gas exchange ability and reduced alveolar fluid clearance (AFC) of the lungs with consequent refractory hypoxemia [1]. Effective removal of excess edema fluid in the alveoli and maintenance of dry alveolar space are the main ways to relieve ARDS [2]. The apically-located epithelial Na+ channel (ENaC) and sodium pump, namely Na, K-ATPase, on the basolateral surface of alveolar type II epithelial cells (AT II) mediated sodium ion transport is the main dynamic of AFC [1) using the Co-IP and LC–MS/MS technology. In this study, the FDR of polypeptide and protein levels were all controlled at 0.01.

Bioinformatics analysis

Enrichment of gene ontology (GO) terms was measured [

Availability of data and materials

The datasets supporting the conclusions of this article are included within the article and its additional files.

Abbreviations

ARDS:

Acute respiratory distress syndrome

ALI:

Acute lung injury

ICU:

Intensive care unit

LC–MS/MS:

Liquid chromatography-tandem mass spectrometry

AP-MS/MS:

Affinity purification mass spectrometry

Co-IP-MS:

Co-immunoprecipitation mass spectrometry

AT II:

Alveolar type II epithelial cells

LPS:

Lipopolysaccharide

ENaC:

Apically-located epithelial Na + channel

A549:

Human non-small cell lung cancer cell line/Human AT II cell line

AFC:

Alveolar fluid clearance

GO:

Gene Ontology

KEGG:

Kyoto Encyclopedia of Genes and Genomes

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Acknowledgements

We thank KangChen Bio-Tech, Shanghai, China, for their technical support for our experiments;

The mass spectrometry proteomics data have been deposited to the ProteomeXchange Consortium via the PRIDE [1] partner repository with the dataset identifier PXD032209.

Funding

This work was support by the Key project of Hunan Provincial Health Commission, China (grant numbers 202217012851).

Author information

Authors and Affiliations

Authors

Contributions

Design and conduct of the study: QiQuan Wan. Collection of the data: XuPeng Wen, YueZhong Zhang, He Huang, TaoHua Liu. Management, analysis and interpretation of the data: XuPeng Wen and QiQuan Wan. Manuscript preparation: XuPeng Wen. Critical revision: Guo Long, YueZhong Zhang, He Huang and TaoHua Liu. Final approval of the manuscript: All authors.

Corresponding author

Correspondence to Qi-Quan Wan.

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Supplementary Information

Additional file 1:

Table S1. Sample grou**. Table S2. Experimental results and Statistics. Table S3. Summary of significant proteins identified in the study. Table S4. Top 20 up-regulated KEGG pathway analysis. Table S5. Results of group Control-A549–IgG-A549. Significant proteins annotation (show 50 if available). Table S6. Results of group LPS-A549–IgG-LPS. Significant proteins annotation (show 50 if available). Figure S1. Venn diagram of the different proteins in LPS-A549 vs. IgG-LPS. Figure S2. Venn diagram of the different proteins in control-A549 vs. IgG-A549. Figure S3. Enriched GO items of < C > in Control-A549 vs. IgG-A549. top axis is log10(adjust p-value), bottom axis is gene count. Figure S4. Enriched GO items of < C > in LPS-A549 vs. IgG-LPS. top axis is log10(adjust p-value), bottom axis is gene count. Figure S5. Enriched KEGG items of < T > in Control-A549 vs. IgG-A549. Figure S6. Enriched KEGG items of < T > in LPS-A549 vs. IgG-LPS. Figure S7. Control-A549--IgG-A549-STRINGdb-T-1. Figure S8. LPS-A549--IgG-LPS-STRINGdb-T-1.

Additional file 2.

Additional file 3.

Additional file 4.

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Wen, XP., Long, G., Zhang, YZ. et al. Identification of different proteins binding to Na, K-ATPase α1 in LPS-induced ARDS cell model by proteomic analysis. Proteome Sci 20, 10 (2022). https://doi.org/10.1186/s12953-022-00193-3

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