Evidence map›Paper›PMID 40917351›Full record

ArticleFrontiers in endocrinology2025

Inhibition of CYP450 family 1 subfamily B member 1 (CYP1B1) expression in macrophage reduces the inflammatory response in type 2 diabetes mellitus combined with tuberculosis.

Qianqian Du, Kun Liu, Yanling Li, Xinyan Wang, Xin Liu, Jing Zhao, Xuemei Wang

Abstract read
In one paragraph

Article in Frontiers in endocrinology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. Macrophage states and polarization duringFrontiers in cellular and infection microbiology · 2026
    Review
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.

Qianqian Du *School of Public Health, Inner Mongolia Medical University, Huhhot, China.
Kun Liu *School of Public Health, Inner Mongolia Medical University, Huhhot, China.
Yanling Li *School of Public Health, Inner Mongolia Medical University, Huhhot, China.
Xinyan WangSchool of Public Health, Inner Mongolia Medical University, Huhhot, China.
Xin LiuSchool of Public Health, Inner Mongolia Medical University, Huhhot, China.
Jing ZhaoSchool of Public Health, Inner Mongolia Medical University, Huhhot, China.
Xuemei WangSchool of Public Health, Inner Mongolia Medical University, Huhhot, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Type 2 diabetes (T2DM) and tuberculosis (TB) both regulate inflammation and may exert synergistic or antagonistic effects through shared immune pathways. Previous studies have demonstrated that T2DM is a risk factor for TB. However, at the level of gene regulatory networks, it remains unclear whether there are key interaction nodes linking these two diseases. In this study, we integrated bioinformatic analysis from the Gene Expression Omnibus (GEO) database and performed differential gene expression analysis and weighted gene co-expression network analysis (WGCNA). Furthermore, we applied machine learning techniques to identify key genes among the commonly differentially expressed genes (DEGs). In addition, this study employed siRNA in THP-1 cells to validate the cross-talk genes selected through bioinformatic analysis. The THP-1 cells were treated with high-concentration glucose (15.5 μM, Glu),

Indexed as

Diabetes Mellitus, Type 2InflammationMacrophagesTuberculosisComputational BiologyGene Regulatory NetworksHumansTHP-1 CellsCYP1B1inflammatory responsemacrophagestuberculosistype 2 diabetes

Identifiers

PMID40917351
PMCPMC12408331

What OpenQuestion holds

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LicenceCC BY
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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.