Evidence map›Paper›PMID 34149803›Full record

ArticleFrontiers in genetics2021

Comparative Transcriptome Analyses Reveal a Transcriptional Landscape of Human Silicosis Lungs and Provide Potential Strategies for Silicosis Treatment.

Junling Pang, Ya Luo, Dong Wei, Zhujie Cao, Xianmei Qi, Meiyue Song, Ying Liu, Zhaoguo Li, Jin Zhang, Baicun Li and 3 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in genetics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
3.1field-weighted citation impact, top 8% 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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 26 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Article
  6. CD4Frontiers in immunology · 2025
    Review
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. 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

13 authors at 4 institutions in 1 country.

Junling PangState Key Laboratory of Medical Molecular Biology, Department of Pathophysiology, Peking Union Medical College, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, Beijing, China.
Ya LuoState Key Laboratory of Medical Molecular Biology, Department of Pathophysiology, Peking Union Medical College, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, Beijing, China.
Dong WeiTransplant Center, Wuxi People's Hospital Affiliated to Nanjing Medical University, Wuxi, China.
Zhujie CaoState Key Laboratory of Medical Molecular Biology, Department of Pathophysiology, Peking Union Medical College, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, Beijing, China.
Xianmei QiState Key Laboratory of Medical Molecular Biology, Department of Pathophysiology, Peking Union Medical College, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, Beijing, China.
Meiyue SongDepartment of Pulmonary and Critical Care Medicine/Others, Center of Respiratory Medicine, China-Japan Friendship Hospital, Beijing, China.
Ying LiuState Key Laboratory of Medical Molecular Biology, Department of Pathophysiology, Peking Union Medical College, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, Beijing, China.
Zhaoguo LiDepartment of Respiratory, The Second Affiliated Hospital of Harbin Medical University, Harbin, China.
Jin ZhangDepartment of Thoracic Surgery and Lung Transplantation, China-Japan Friendship Hospital, Beijing, China.
Baicun LiState Key Laboratory of Medical Molecular Biology, Department of Physiology, Peking Union Medical College, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, Beijing, China.
Jingyu ChenTransplant Center, Wuxi People's Hospital Affiliated to Nanjing Medical University, Wuxi, China.
Jing WangState Key Laboratory of Medical Molecular Biology, Department of Pathophysiology, Peking Union Medical College, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, Beijing, China.
Chen WangState Key Laboratory of Medical Molecular Biology, Department of Physiology, Peking Union Medical College, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, Beijing, China.
Chinese Academy of Medical Sciences & Peking Union Medical College · CNChina-Japan Friendship Hospital · CNHarbin Medical University · CNWuxi People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Silicosis is a fatal occupational lung disease which currently has no effective clinical cure. Recent studies examining the underlying mechanism of silicosis have primarily examined experimental models, which may not perfectly reflect the nature of human silicosis progression. A comprehensive profiling of the molecular changes in human silicosis lungs is urgently needed. Here, we conducted RNA sequencing (RNA-seq) on the lung tissues of 10 silicosis patients and 7 non-diseased donors. A total of 2,605 differentially expressed genes (DEGs) and critical pathway changes were identified in human silicosis lungs. Further, the DEGs in silicosis were compared with those in idiopathic pulmonary fibrosis (IPF) and chronic obstructive pulmonary diseases (COPD), to extend current knowledge about the disease mechanisms and develop potential drugs. This analysis revealed both common and specific regulations in silicosis, along with several critical genes (e.g.,

Indexed as

candidate targetshuman cohortpathological mechanismssilicosistranscriptomics

Identifiers

PMID34149803
PMCPMC8210851
OpenAlexW3171410622

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.