Evidence map›Paper›PMID 38334875›Full record

ArticleBiochemical genetics2024

Identification of Hub Genes and Prediction of Targeted Drugs for Rheumatoid Arthritis and Idiopathic Pulmonary Fibrosis.

Ting Cui, Zhican Huang, Kun Luo, Jingwei Nie, Yimei Xv, Zhu Zeng, Linghan Liao, Xin Yang, Haiyan Zhou

Abstract read
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In one paragraph

Article in Biochemical genetics, 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
0.4field-weighted citation impact, top 40% 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

2 citing papers in PubMed, 1 citations in OpenAlex.

  1. Article
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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

9 authors at 1 institution in 1 country.

Ting CuiCollege of Acupuncture-Moxibustion and Tuina, Chengdu University of TCM, Chengdu, 610000, Sichuan, China.
Zhican HuangCollege of Acupuncture-Moxibustion and Tuina, Chengdu University of TCM, Chengdu, 610000, Sichuan, China.
Kun LuoCollege of Acupuncture-Moxibustion and Tuina, Chengdu University of TCM, Chengdu, 610000, Sichuan, China.
Jingwei NieCollege of Acupuncture-Moxibustion and Tuina, Chengdu University of TCM, Chengdu, 610000, Sichuan, China.
Yimei XvCollege of Acupuncture-Moxibustion and Tuina, Chengdu University of TCM, Chengdu, 610000, Sichuan, China.
Zhu ZengCollege of Acupuncture-Moxibustion and Tuina, Chengdu University of TCM, Chengdu, 610000, Sichuan, China.
Linghan LiaoCollege of Acupuncture-Moxibustion and Tuina, Chengdu University of TCM, Chengdu, 610000, Sichuan, China.
Xin YangCollege of Acupuncture-Moxibustion and Tuina, Chengdu University of TCM, Chengdu, 610000, Sichuan, China.
Haiyan ZhouCollege of Acupuncture-Moxibustion and Tuina, Chengdu University of TCM, Chengdu, 610000, Sichuan, China. zhouhaiyan@cdutcm.edu.cn.
Chengdu University · CN

Funding

Chengdu University of Traditional Chinese Medicine QNXZ2018034National Natural Science Foundation of China 81774435National Natural Science Foundation of China 81973959Sichuan Provincial Administration of Traditional Chinese Medicine 2023MS326
6 · The paper itself

Abstract

There is a potential link between rheumatoid arthritis (RA) and idiopathic pulmonary fibrosis (IPF). The aim of this study is to investigate the molecular processes that underlie the development of these two conditions by bioinformatics methods. The gene expression samples for RA (GSE77298) and IPF (GSE24206) were retrieved from the Gene Expression Omnibus (GEO) database. After identifying the overlapping differentially expressed genes (DEGs) for RA and IPF, we conducted functional annotation, protein-protein interaction (PPI) network analysis, and hub gene identification. Finally, we used the hub genes to predict potential medications for the treatment of both disorders. We identified 74 common DEGs for further analysis. Functional analysis demonstrated that cellular components, biological processes, and molecular functions all played a role in the emergence and progression of RA and IPF. Using the cytoHubba plugin, we identified 7 important hub genes, namely COL3A1, SDC1, CCL5, CXCL13, MMP1, THY1, and BDNF. As diagnostic indicators for RA, SDC1, CCL5, CXCL13, MMP1, and THY1 showed favorable values. For IPF, COL3A1, SDC1, CCL5, CXCL13, THY1, and BDNF were favorable diagnostic markers. Furthermore, we predicted 61 Chinese and 69 Western medications using the hub genes. Our research findings demonstrate a shared pathophysiology between RA and IPF, which may provide new insights for more mechanistic research and more effective treatments. These common pathways and hub genes identified in our study offer potential opportunities for developing more targeted therapies that can address both disorders.

Indexed as

Arthritis, RheumatoidIdiopathic Pulmonary FibrosisProtein Interaction MapsChemokine CCL5Chemokine CXCL13Collagen Type IIIComputational BiologyDatabases, GeneticGene Expression ProfilingGene Regulatory NetworksHumansMatrix Metalloproteinase 1Chemokine CCL5Chemokine CXCL13COL3A1 protein, humanCollagen Type IIIMatrix Metalloproteinase 1MMP1 protein, humanDifferentially expressed genesDrugHub genesIdiopathic pulmonary fibrosisRheumatoid arthritis

Identifiers

PMID38334875
OpenAlexW4391692077

What OpenQuestion holds

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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.