Evidence map›Paper›PMID 33060566›Full record

ArticleSignal transduction and targeted therapy2020

Pathological features of COVID-19-associated lung injury: a preliminary proteomics report based on clinical samples.

Ling Leng, Ruiyuan Cao, Jie Ma, Danlei Mou, Yunping Zhu, Wei Li, Luye Lv, Dunqin Gao, Shikun Zhang, Feng Gong and 10 more

Open access · goldAbstract read
In one paragraph

Article in Signal transduction and targeted therapy, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 102 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
102citing papers in PubMed, 1 pooled it
3.9field-weighted citation impact, top 4% of its field
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

102 citing papers in PubMed, 1 synthesis or guideline pooled it, 181 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Trial
  4. Blood fibrocytes are associated with severity and prognosis in COVID-19 pneumonia.American journal of physiology. Lung cellular and molecular physiology · 2021
    Trial
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Utility of Protein Markers in COVID-19 Patients.International journal of molecular sciences · 2025
    Review
  14. Article
  15. Review
  16. Human microbiome in post-acute COVID-19 syndrome (PACS).Current research in microbial sciences · 2025
    Article
  17. Article
  18. Article
  19. Article
  20. Article

42 more citing papers are in PubMed but not listed here.

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

20 authors at 6 institutions in 1 country.

Ling LengStem Cell and Regenerative Medicine Lab, Department of Medical Science Research Center, Translational Medicine Center, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, 100730, Beijing, China.
Ruiyuan CaoNational Engineering Research Center for the Emergency Drug, Beijing Institute of Pharmacology and Toxicology, 100850, Beijing, China.
Jie MaState Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences (Beijing), Beijing Institute of Life Omics, 102206, Beijing, China.
Danlei MouDepartment of Infectious Diseases, Beijing YouAn Hospital, Capital Medical University, 100069, Beijing, China.
Yunping ZhuState Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences (Beijing), Beijing Institute of Life Omics, 102206, Beijing, China.
Wei LiNational Engineering Research Center for the Emergency Drug, Beijing Institute of Pharmacology and Toxicology, 100850, Beijing, China.
Luye LvInstitute of NBC Defense, 102205, Beijing, China.
Dunqin GaoStem Cell and Regenerative Medicine Lab, Department of Medical Science Research Center, Translational Medicine Center, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, 100730, Beijing, China.
Shikun ZhangDepartment of Stem Cell and Regenerative Medicine Laboratory, Institute of Health Service and Transfusion Medicine, 100850, Beijing, China.
Feng GongDepartment of Stem Cell and Regenerative Medicine Laboratory, Institute of Health Service and Transfusion Medicine, 100850, Beijing, China.
Lei ZhaoNational Engineering Research Center for the Emergency Drug, Beijing Institute of Pharmacology and Toxicology, 100850, Beijing, China.
Bintao QiuStem Cell and Regenerative Medicine Lab, Department of Medical Science Research Center, Translational Medicine Center, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, 100730, Beijing, China.
Haiping XiangDepartment of Radiology, Beijing YouAn Hospital, Capital Medical of University, 100069, Beijing, China.
Zhongjie HuBeijing YouAn Hospital, Capital Medical University, 100069, Beijing, China.
Yingmei FengBeijing YouAn Hospital, Capital Medical University, 100069, Beijing, China.
Yan DaiDepartment of Respiratory and Critical Care Medicine, Nanyang Central Hospital, 473000, Henan, China.
Jiang ZhaoDepartment of Respiratory and Critical Care Medicine, Nanyang Central Hospital, 473000, Henan, China.
Zhihong WuStem Cell and Regenerative Medicine Lab, Department of Medical Science Research Center, Translational Medicine Center, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, 100730, Beijing, China. orthoscience@126.com.
Hongjun LiDepartment of Radiology, Beijing YouAn Hospital, Capital Medical of University, 100069, Beijing, China. lihongjun00113@126.com.
Wu ZhongNational Engineering Research Center for the Emergency Drug, Beijing Institute of Pharmacology and Toxicology, 100850, Beijing, China. zhongwu@bmi.ac.cn.ORCID 0000-0002-0536-620X
Chinese Academy of Medical Sciences & Peking Union Medical College · CNCapital Medical University · CNBeijing Proteome Research Center · CNBeijing YouAn Hospital · CNNanyang Institute of Technology · CNNational Institutes for Food and Drug Control · CN

Funding

Ministry of Science and Technology of the People's Republic of China (Chinese Ministry of Science and Technology) 2018ZX09711003
6 · The paper itself

Abstract

The COVID-19 pandemic has emerged as a global health emergency due to its association with severe pneumonia and relative high mortality. However, the molecular characteristics and pathological features underlying COVID-19 pneumonia remain largely unknown. To characterize molecular mechanisms underlying COVID-19 pathogenesis in the lung tissue using a proteomic approach, fresh lung tissues were obtained from newly deceased patients with COVID-19 pneumonia. After virus inactivation, a quantitative proteomic approach combined with bioinformatics analysis was used to detect proteomic changes in the SARS-CoV-2-infected lung tissues. We identified significant differentially expressed proteins involved in a variety of fundamental biological processes including cellular metabolism, blood coagulation, immune response, angiogenesis, and cell microenvironment regulation. Several inflammatory factors were upregulated, which was possibly caused by the activation of NF-κB signaling. Extensive dysregulation of the lung proteome in response to SARS-CoV-2 infection was discovered. Our results systematically outlined the molecular pathological features in terms of the lung response to SARS-CoV-2 infection, and provided the scientific basis for the therapeutic target that is urgently needed to control the COVID-19 pandemic.

Indexed as

AgedAutopsyBetacoronavirusCoronavirus InfectionsCOVID-19CytokinesFemaleGene Expression ProfilingGene Expression RegulationGene OntologyHumansLungLung InjuryMaleMetabolic Networks and PathwaysMolecular Sequence AnnotationCytokinesNF-kappa BProteome

Identifiers

PMID33060566
PMCPMC7557250
OpenAlexW3092813210

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.