Objective: The cell cycle-related proteins cyclin B1 (CCNB1) and cyclin B2 (CCNB2) are potentially involved in the underlying mechanisms of psoriasis. The present study aimed to explore this possibility using bioinformatics approaches.

Methods: CCNB1 and CCNB2 protein levels were evaluated in 14 psoriasis patients and five healthy controls by enzyme-linked immunosorbent assays, and their mRNA levels were evaluated using data from four publicly available datasets (GSE53552, GSE41664, GSE14905, and GSE13355). Comparison of high- and low-expressing groups were performed to reveal CCNB1- and CCNB2-related differentially expressed genes, which were then assessed based on gene ontology and Kyoto Encyclopedia of Genes and Genomes pathway analyses. Correlation analyses between and levels and immune infiltration, as well as typical targets of psoriasis, were also performed.

Results: Overall, 12 CCNB1 and CCNB2 common immune-related targets potentially involved in psoriasis were identified. These could regulate the cell cycle of through multiple pathways. In addition, .

Conclusions: These findings suggest that CCNB1 and CCNB2 may represent valuable molecular biomarkers of psoriasis, contributing to its onset and progression.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9373137PMC
http://dx.doi.org/10.1177/03000605221117138DOI Listing

Publication Analysis

Top Keywords

ccnb1 ccnb2
16
levels evaluated
8
psoriasis
6
ccnb1
5
ccnb2 involvement
4
involvement pathogenesis
4
pathogenesis psoriasis
4
psoriasis bioinformatics
4
bioinformatics study
4
study objective
4

Similar Publications

Fucosylated chondroitin sulfate (FCS), extracted from sea cucumbers' body walls, has been found to inhibit the proliferation of lung adenocarcinoma (LUAD) cells. However, there have been few studies of the associated drug targets. This study combined bioinformatics analysis and molecular docking to screen the main targets of FCS intervention in LUAD.

View Article and Find Full Text PDF
Article Synopsis
  • Hepatocellular carcinoma (HCC) is a major cancer threat worldwide with few treatment options, prompting research into prognosis and therapy for patients with hepatitis B (HBV)-related HCC.
  • The study analyzed data from three microarray datasets, uncovering 374 differentially expressed genes, including significant hub genes linked to poor patient prognosis.
  • Key genes like ZWINT and CDK1 were identified as potential biomarkers, suggesting they could help predict disease progression and guide new treatment approaches, while further research is needed on other hub genes.
View Article and Find Full Text PDF

Background: Liver hepatocellular carcinoma (LIHC) is a common cancer with a poor prognosis and high recurrence rate. We aimed to identify potential biomarkers for LIHC by investigating the involvement of hub genes, microRNAs (miRNAs), transcription factors (TFs), and protein kinases (PKs) in its occurrence.

Methods: we conducted a bioinformatics analysis using microarray datasets, the TCGA-LIHC dataset, and text mining to identify differentially expressed genes (DEGs) associated with LIHC.

View Article and Find Full Text PDF

Flavonoids from Camellia oleifera flower ameliorate type 2 diabetes mellitus by regulating the p53 pathway.

Fitoterapia

December 2024

Institutes of Natural Products and Human Health, Zhejiang University, Hangzhou, China. Electronic address:

Background: Camellia oleifera flower (COF) is rich in flavonoids and polyphenols, strongly preventing postprandial hyperglycemia and improving diabetes. However, research on the effective ingredients in COF extracts that have hypoglycemic effects is limited, and the mechanism by which COF extracts improve liver insulin resistance and glucose and lipid metabolism still needs to be clarified, requiring further investigation.

Aim: To systematically clarify the role of COF extracts in improving insulin resistance in diabetes mice and to explore their key targets and mechanisms in anti-type 2 diabetes (T2DM).

View Article and Find Full Text PDF
Article Synopsis
  • The study investigates endometriosis, a prevalent gynecological condition, focusing on the role of gene expression and epigenetic changes in its development, aiming to identify key genes and regulatory networks involved.
  • Researchers utilized various microarray and RNA sequencing datasets to analyze differentially expressed genes (DEGs) and identified 551 common DEGs, including changes in mRNA, miRNA, and lncRNA, to better understand the molecular basis of the disease.
  • The findings indicate that these DEGs are mainly linked to crucial biological processes such as ECM interaction and P53 signaling pathways, revealing significant hub genes that could be targeted for further research and potential therapeutic approaches.
View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!