Evidence map›Paper›PMID 38841189›Full record

ArticleFrontiers in molecular biosciences2024

Screening of drug targets for tuberculosis on the basis of transcription factor regulatory network and mRNA sequencing technology.

Shuai Wang, Na Yan, Yue Yang, Li Sun, Yingxin Huang, Jian Zhang, Guangyu Xu

Abstract read
In one paragraph

Article in Frontiers in molecular biosciences, 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

7 authors.

Shuai WangDepartment of Infectious Disease, Changchun Infectious Disease Hospital, Changchun, China.
Na YanDepartment of Infectious Disease, Changchun Infectious Disease Hospital, Changchun, China.
Yue YangCollege of Pharmacy, Beihua University, Jilin, Jilin, China.
Li SunDepartment of Infectious Disease, Changchun Infectious Disease Hospital, Changchun, China.
Yingxin HuangDepartment of Infectious Disease, Changchun Infectious Disease Hospital, Changchun, China.
Jian ZhangDepartment of Infectious Disease, Changchun Infectious Disease Hospital, Changchun, China.
Guangyu XuCollege of Pharmacy, Beihua University, Jilin, Jilin, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Tuberculosis is a worldwide epidemic disease, posing a serious threat to human health. To find effective drug action targets for Results: Three key transcription factors (TP53, KLF5 and GATA2) and one key gene (AKT1) were screened as new potential drug targets and diagnostic targets for tuberculosis by MCODE cluster analysis, and the key genes and key transcription factors were verified by RT-PCR. Finally, we constructed the and a key factor and KEGG signaling pathway regulatory network to clarify the possible molecular pathogenesis of tuberculosis. Conclusion: This study suggested

Indexed as

drug targetmRNA sequencingregulatory networktranscription factortuberculosis

Identifiers

PMID38841189
PMCPMC11150615

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.