We use cookies to understand how you use our site and to improve your experience. This includes personalizing content and advertising. To learn more, click here. By continuing to use our site, you accept our use of cookies. Cookie Policy.

Features Partner Sites Information LinkXpress hp
Sign In
Advertise with Us
LGC Clinical Diagnostics

Download Mobile App




Gene Signature Identified for Juvenile Arthritis

By LabMedica International staff writers
Posted on 07 Nov 2012
The genes that are expressed in patients with systemic juvenile idiopathic arthritis (SJIA) have been compared with those with the more common polyarticular juvenile idiopathic arthritis (POLY). More...


The distinct pathways involved in the arthritis of early and established SJIA raise the possibility that the immune system alters its behavior over the course of this disease and this can be investigated by finding which genes are involved in increased erythrocyte sedimentation rate (ESR).

In a collaboration between the Stanford University School of Medicine (CA, USA) and Celera Corporation (Alameda, CA, USA), scientists looked at the genes switched on in the blood of children with either SJIA or POLY. Ribonucleic acid (RNA) from peripheral blood mononuclear cells (PBMC) of children with each disease was profiled by kinetic polymerase chain reaction (PCR) to analyze expression of 181 genes, selected for relevance to immune response pathways.

The team found 91 ESR-related and 92 joint count (JC)-related genes in SJIA, and for POLY, 20 ESR-related and zero JC-related genes were found. These genes were grouped into biological pathways such as interleukin (IL)-signaling, cluster of differentiation 40 (CD40)-signaling, or communication between immune cells. Therefore, it became apparent that in SJIA, these pathways were involved in elevated ESR, which is used as a marker for disease flare-up, and also linked to joint arthritis.

Elizabeth D. Mellins, MD, the senior author, said, "In our study we identified molecular pathways involved in both the systemic and arthritic components of SJIA. We discovered that the set of pathways involved in SJIA inflammation were different from those in POLY, perhaps explaining the differences in affected organs. This was especially true for the genes involved in increased ESR. For example, glucocorticoid signaling was more heavily involved in inflammation associated with SJIA than POLY, which may explain why nonglucocorticoid treatment is less effective for children with SJIA."

The authors concluded that even within the SJIA group different pathways were involved in different stages of the disease and knowledge like this should help refine treatment plans for these children and help to control their disease. The study was published on October 23, 2012, in the journal BMC Medicine.

Related Links:
Stanford University School of Medicine
Celera Corporation


Platinum Member
Xylazine Immunoassay Test
Xylazine ELISA
Verification Panels for Assay Development & QC
Seroconversion Panels
POCT Fluorescent Immunoassay Analyzer
FIA Go
Gold Member
Real-Time PCR System
Gentier 96T
Read the full article by registering today, it's FREE! It's Free!
Register now for FREE to LabMedica.com and get access to news and events that shape the world of Clinical Laboratory Medicine.
  • Free digital version edition of LabMedica International sent by email on regular basis
  • Free print version of LabMedica International magazine (available only outside USA and Canada).
  • Free and unlimited access to back issues of LabMedica International in digital format
  • Free LabMedica International Newsletter sent every week containing the latest news
  • Free breaking news sent via email
  • Free access to Events Calendar
  • Free access to LinkXpress new product services
  • REGISTRATION IS FREE AND EASY!
Click here to Register








Channels

Clinical Chemistry

view channel
Image: QIP-MS could predict and detect myeloma relapse earlier compared to currently used techniques (Photo courtesy of Adobe Stock)

Mass Spectrometry-Based Monitoring Technique to Predict and Identify Early Myeloma Relapse

Myeloma, a type of cancer that affects the bone marrow, is currently incurable, though many patients can live for over 10 years after diagnosis. However, around 1 in 5 individuals with myeloma have a high-risk... Read more

Immunology

view channel
Image: The cancer stem cell test can accurately choose more effective treatments (Photo courtesy of University of Cincinnati)

Stem Cell Test Predicts Treatment Outcome for Patients with Platinum-Resistant Ovarian Cancer

Epithelial ovarian cancer frequently responds to chemotherapy initially, but eventually, the tumor develops resistance to the therapy, leading to regrowth. This resistance is partially due to the activation... Read more

Technology

view channel
Image: Ziyang Wang and Shengxi Huang have developed a tool that enables precise insights into viral proteins and brain disease markers (Photo courtesy of Jeff Fitlow/Rice University)

Light Signature Algorithm to Enable Faster and More Precise Medical Diagnoses

Every material or molecule interacts with light in a unique way, creating a distinct pattern, much like a fingerprint. Optical spectroscopy, which involves shining a laser on a material and observing how... Read more

Industry

view channel
Image: The collaboration aims to leverage Oxford Nanopore\'s sequencing platform and Cepheid\'s GeneXpert system to advance the field of sequencing for infectious diseases (Photo courtesy of Cepheid)

Cepheid and Oxford Nanopore Technologies Partner on Advancing Automated Sequencing-Based Solutions

Cepheid (Sunnyvale, CA, USA), a leading molecular diagnostics company, and Oxford Nanopore Technologies (Oxford, UK), the company behind a new generation of sequencing-based molecular analysis technologies,... Read more
Copyright © 2000-2025 Globetech Media. All rights reserved.