Evidence map›Paper›PMID 38774751›Full record

ArticleInternational journal of medical sciences2024

Novel kinase 1 regulates CD8+T cells as a potential therapeutic mechanism for idiopathic pulmonary fibrosis.

Zhen-Yuan Tan, Yuan Lou, Yu-Cui Qin, Wei Lin, Bin-Bin Liang, Suren R Sooranna, Yi-Li Ma, Su-Fang Zhou

Abstract read
In one paragraph

Article in International journal of medical sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

8 authors.

Zhen-Yuan TanSchool of Basic Medicine, Guangxi Medical University, Nanning, Guangxi, 530021, China.
Yuan LouThe First Affiliated Hospital of Guangxi University of Chinese Medicine, Nanning, Guangxi 530021, China.
Yu-Cui QinSchool of Basic Medicine, Guangxi Medical University, Nanning, Guangxi, 530021, China.
Wei LinSchool of Basic Medicine, Guangxi Medical University, Nanning, Guangxi, 530021, China.
Bin-Bin LiangSchool of Basic Medicine, Guangxi Medical University, Nanning, Guangxi, 530021, China.
Suren R SoorannaDepartment of Metabolism, Digestion and Reproduction Faculty of Medicine Imperial College London Chelsea & Westminster Hospital, London SW10 9NH, UK.
Yi-Li MaSchool of Basic Medicine, Guangxi Medical University, Nanning, Guangxi, 530021, China.
Su-Fang ZhouSchool of Basic Medicine, Guangxi Medical University, Nanning, Guangxi, 530021, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Idiopathic pulmonary fibrosis (IPF) is a rare, chronic and progressively worsening lung disease that poses a significant threat to patient prognosis, with a mortality rate exceeding that of some common malignancies. Effective methods for early diagnosis and treatment remain for this condition are elusive. In our study, we used the GEO database to access second-generation sequencing data and associated clinical information from IPF patients. By utilizing bioinformatics techniques, we identified crucial disease-related genes and their biological functions, and characterized their expression patterns. Furthermore, we mapped out the immune landscape of IPF, which revealed potential roles for novel kinase 1 and CD8+T cells in disease progression and outcome. These findings can aid the development of new strategies for the clinical diagnosis and treatment of IPF.

Indexed as

CD8-Positive T-LymphocytesIdiopathic Pulmonary FibrosisComputational BiologyDisease ProgressionHumansPrognosisbioinformaticsCD8+TIdiopathic pulmonary fibrosisimmune landscapeNUAK1

Identifiers

PMID38774751
PMCPMC11103402

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Registered trials

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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.