Evidence map›Paper›PMID 38512440›Full record

ArticleInternational urology and nephrology2024

Investigation of shared genetic features and related mechanisms between diabetes and tuberculosis.

Lifei Huang, Zhihao Liu, Xiaodong Lv, Yahong Sun

Abstract read
PubMed Publisher
In one paragraph

Article in International urology and nephrology, 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
0.2field-weighted citation impact, top 46% 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. 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

4 authors at 2 institutions in 1 country.

Lifei Huang *Department of Respiratory and Critical Care Medicine, Haining People's Hospital, Haining, 314400, China.
Zhihao Liu *Department of Respiratory and Critical Care Medicine, Haining People's Hospital, Haining, 314400, China.
Xiaodong LvDepartment of Respiratory, The First Hospital of Jiaxing, The Affiliated Hospital of Jiaxing University, Jiaxing, 314000, China.
Yahong SunDepartment of Respiratory and Critical Care Medicine, Haining People's Hospital, Haining, 314400, China. sunyah6576@163.com.ORCID http://orcid.org/0009-0005-0119-0250
First People's Hospital of Nanning · CNJiaxing University · CN

Funding

Health Science and Technology Program of Zhejiang Province 2022KY394the Key Construction Disciplines of Provincial and Municipal Co-construction of Zhejiang 2023-SSGJ-002
6 · The paper itself

Abstract

objectiveThis study aimed to integrate bioinformatics technology to explore shared hub genes and related mechanisms between diabetes and tuberculosis and to provide a theoretical basis for revealing the disease mechanisms in patients with both diabetes and tuberculosis.

methodsDifferentially expressed genes and Venn analysis were used to identify shared genes between diabetes and tuberculosis. PPI network analysis was used to screen key hub genes. GO and KEGG analyses were used to analyze the potential biological functions of these key hub genes. Immune infiltration analysis was performed using the ssGSEA algorithm. EnrichR online analysis website was used to explore potential therapeutic drugs.

resultsThe dataset analysis showed that PSMB9, ISG15, RTP4, CXCL10, GBP2, and GBP3 were six hub genes shared by diabetes and tuberculosis, which not only could distinguish between the two disease samples but also had a high diagnostic rate. GO and KEGG analyses showed that these six genes mainly mediate immune-related biological processes such as interferon, interleukin, and chemokine receptor binding, as well as signaling pathways such as RIG-I-like receptor, NOD-like receptor, and proteasome. Immune infiltration analysis showed that high expression of TIL may mediate the development of both diabetes and tuberculosis. In addition, suloctidil HL60 UP, thioridazine HL60 UP, mefloquine HL60 UP, 1-NITROPYRENE CTD 00001569, and chlorophyllin CTD 00000324 were the candidate drugs predicted by this study that were most likely to target hub genes.

conclusionSix differentially expressed genes shared by both diseases (PSMB9, ISG15, RTP4, CXCL10, GBP2, and GBP3) may play a key role in the disease progression of patients with both diabetes and tuberculosis. Candidate drugs targeting these hub genes have therapeutic potential and are worthy of further research. In summary, this study reveals potential shared pathogenic mechanisms between tuberculosis and diabetes.

Indexed as

Diabetes MellitusTuberculosisComputational BiologyHumansDiabetesDrug predictionHub genesImmune landscapeTuberculosis

Identifiers

PMID38512440
OpenAlexW4393038476

What Socratic holds

Textmetadata
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 Socratic graph.