Evidence map›Paper›PMID 39301288›Full record

ArticleFrontiers in cellular and infection microbiology2024

Proteomics of severe SARS-COV-2 infection and paraquat poisoning in human lung tissue samples: comparison of microbial infected and toxic pulmonary fibrosis.

Jiang Min, Hou Jiaqi, Lin Lihua, Chai Qianqian, Wang Shujuan, Liu Xiang, Liu Liang, Ren Liang, Zhou Yiwu, Liu Qian

Abstract readComparative Study
In one paragraph

Article in Frontiers in cellular and infection microbiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Jiang MinDepartment of Forensic Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Hou JiaqiDepartment of Forensic Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Lin LihuaDepartment of Forensic Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Chai QianqianDepartment of Forensic Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Wang ShujuanDepartment of Forensic Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Liu XiangDepartment of Forensic Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Liu LiangDepartment of Forensic Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Ren LiangDepartment of Forensic Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Zhou YiwuDepartment of Forensic Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Liu QianDepartment of Forensic Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Pulmonary fibrosis (PF) encompasses a spectrum of lung conditions characterized by the abnormal accumulation of scar tissue in the lungs, leading to impaired respiratory function. Various conditions can result in severe PF, among which viral infections have emerged as significant triggers. In addition to viral infections, exposure to toxic substances such as paraquat represents another significant risk factor for PF. Therefore, this study aimed to explore the dissimilarities and similarities between PF triggered by viral infections and chemical toxicants, using the mechanism of PF in IPF as a reference. Methods: Data-independent acquisition proteomics technology was employed to identify COVID-19 and paraquat-induced PF from the autopsy of lung tissue samples obtained from individuals who died due to PF. Bioinformatics was employed for differential protein analysis, and selected indicators were validated on pathological sections. Results: Our results showed that the differential proteins associated with the two causes of PF were enriched in similar lung fibrosis-related signaling pathways, such as the Wnt signaling pathway. However, differences were observed in proteins such as CACYBP, we verified the consistency of the results with proteomics using the IHC approach. Conclusion: This study illuminates distinct protein-level differences by investigating pulmonary fibrosis pathways in severe COVID-19 and paraquat poisoning. Although both conditions activate lung-protective and repair pathways, COVID-19 shows limited phosphorylation-independent ubiquitination of β-catenin compared to paraquat toxicity. These findings shed light on potential therapeutic targets for PF induced via diverse factors.

Indexed as

COVID-19LungParaquatProteomicsPulmonary FibrosisSARS-CoV-2AgedFemaleHumansMaleMiddle AgedParaquatautopsy samplesparaquatPFproteomicsSARS-CoV-2

Identifiers

PMID39301288
PMCPMC11410708

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