Evidence mapPaperPMID 40155667Full record

ArticleScientific reports2025

Monocyte CCL2 signaling possibly contributes to increased asthma susceptibility in type 2 diabetes.

Tian Luo, Weihong Guo, Wentao Ji, WeiWei Du, Yanhua Lv, Zhijun Feng

Abstract read
In one paragraph

Article in Scientific reports, 2025. 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

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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. Review
4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Tian Luo *Department of Respiratory and Critical Care Medicine, The People's Hospital of Sishui, Jining, 273200, Shandong, China.
Weihong Guo *Zhongshan City People's Hospital, Xinxiang Medical University, Xinxiang, 453003, Henan, China.
Wentao JiZhongshan City People's Hospital, Xinxiang Medical University, Xinxiang, 453003, Henan, China.
WeiWei DuZhongshan City People's Hospital, Xinxiang Medical University, Xinxiang, 453003, Henan, China.
Yanhua LvDepartment of Respiratory and Critical Care Medicine, Shunde Hospital of Southern Medical University, Shunde, 528300, Guangdong, China. lyhzhongshan@163.com.
Zhijun FengPostdoctoral Innovation Practice Base, Jiangmen Central Hospital, Southern Medical University, Jiangmen, 529030, Guangdong, China. fengzhj18@sina.com.

Funding

The National Natural Science Foundation of China 82200038
6 · The paper itself

Abstract

In recent years, the respiratory system has been increasingly recognized as a key target organ in diabetes. Although observational studies have established significant clinical associations between type 2 diabetes (T2D), antidiabetic medication use, and asthma, the causal relationships and underlying molecular mechanisms remain unclear. This study employed a bidirectional two-sample Mendelian randomization (MR) approach combined with bioinformatics analysis to explore the causal relationships between T2D and asthma subtypes and complications, with a focus on immune-regulatory mechanisms. The MR analysis utilized inverse-variance weighted (IVW) and meta-analysis methods to evaluate overall effects, with sensitivity analyses confirming the robustness of the findings. Bioinformatics analysis focused on differential gene expression and pathway enrichment to identify potential molecular networks. The MR analysis showed that T2D has a significant positive causal effect on asthma (P < 0.05), with severe autoimmune T2D showing strong associations with specific asthma subtypes (eosinophilic and mixed asthma) and complications (e.g., acute respiratory infections and pneumonia) (P < 0.05). Bioinformatics analysis identified the monocyte-CCL2 signaling axis as a key mechanism linking T2D and asthma, where hyperglycemia-induced monocyte activation may promote asthma development. These findings reveal shared inflammatory pathways and deepen our understanding of the molecular mechanisms linking these two chronic diseases.

Indexed as

AsthmaChemokine CCL2Diabetes Mellitus, Type 2MonocytesSignal TransductionComputational BiologyDisease SusceptibilityGenetic Predisposition to DiseaseHumansMendelian Randomization AnalysisPolymorphism, Single NucleotideCCL2 protein, humanChemokine CCL2AsthmaCausal relationshipMendelian randomizationMonocyte-CCL2 axisType 2 diabetes

Identifiers

PMID40155667
PMCPMC11953320

What Socratic 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 Socratic graph.