ArticleJournal of diabetes investigation2025
Identification and verification of feature biomarkers associated with CD14
Article in Journal of diabetes investigation, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
Abstract
AIMS/
introductionMonocytes contribute to the immune dysregulation of pancreatic islets in Type 1 diabetes mellitus (T1D). This study aims to identify the feature genes of CD14 MATERIALS AND
methodsTwo CD14
resultsEleven up-regulated and five down-regulated DEGs in T1D samples were identified in the integrated dataset. WGCNA analysis obtained 13 gene co-expression modules in which the yellow module had a significantly positive correlation with the T1D phenotype, and the magenta module had a negative correlation. Thirteen intersecting genes between DEGs and WGCNA gene modules were subjected to LASSO and SVM-RFE machine learning, and the feature gene ID1 was eventually screened out and verified. In terms of the T1D diagnostic model, the calibration curve and ROC curve displayed high predictive accuracy and effectiveness. Single-gene GSEA analysis revealed that high ID1 was associated with the IL1/IL1R/JNK signaling pathway gene set. The increased ID1 was verified in high glucose-treated THP-1 cells and T1D subjects, and the deficiency of ID1 impaired the expression of the inflammatory cytokine IL6.
conclusionsWe had identified ID1 as the feature gene of CD14
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.