ArticleInflammation research : official journal of the European Histamine Research Society ... [et al.]2014
Cyclooxygenase 2, toll-like receptor 4 and interleukin 1β mRNA expression in atherosclerotic plaques of type 2 diabetic patients.
Article in Inflammation research : official journal of the European Histamine Research Society ... [et al.], 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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
6 citing papers in PubMed, 10 citations in OpenAlex.
- The Impact of Cytokines in Coronary Atherosclerotic Plaque: Current Therapeutic Approaches.International journal of molecular sciences · 2022Review
- NicotinamideACS omega · 2022Article
- The Dualistic Effect of COX-2-Mediated Signaling in Obesity and Insulin Resistance.International journal of molecular sciences · 2019Review
- Cellular signaling pathways regulating β-cell proliferation as a promising therapeutic target in the treatment of diabetes.Experimental and therapeutic medicine · 2018Review
- Diabetes and ageing-induced vascular inflammation.The Journal of physiology · 2016Review
- HDAC9, TWIST1 and FERD3L gene expression in asymptomatic stable and unstable carotid plaques.Inflammation research : official journal of the European Histamine Research Society ... [et al.] · 2016Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
OBJECTIVES AND
designInflammation has a prominent role in the development of atherosclerosis. Type 2 diabetes could contribute to atherosclerosis development by promoting inflammation. This status might accelerate changes in intrinsic vascular wall cells and favor plaque formation. Cyclooxygenase 2 (COX-2) is highly expressed in atherosclerotic plaques. COX-2 gene expression is promoted through activation of toll-like receptor 4 (TLR4) and pro-inflammatory cytokine interleukin 1β (IL1-β). Aim of this study is to investigate whether expression profiles of pro-inflammatory genes such as COX-2, TLR4 and IL1-β in atherosclerotic plaques are altered in type 2 diabetes (T2D).
methodsTotal RNA was isolated from plaques of atherosclerotic patients and expression of COX-2, TLR4, IL1-β analyzed using real-time PCR. Histological analysis was performed on sections of the plaque to establish the degree of instability.
resultsStatistically significant differences in mRNA expression of COX-2 and IL1-β were found in plaques of T2D compared with non-T2D patients. A multi-variable linear regression model suggests that COX-2 mRNA expression is affected by T2D pathology and IL1-β mRNA expression in atherosclerotic plaques.
conclusionsOur results support the hypothesis that T2D pathology contributes in vivo to increase the inflammatory process associated with the atherosclerotic plaque formation, as shown by an increment of COX-2 and IL1-β mRNA expression.
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.