ArticleThe Journal of molecular diagnostics : JMD2007
Identification of molecular biomarkers for multiple sclerosis.
Article in The Journal of molecular diagnostics : JMD, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 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
15 citing papers in PubMed, 24 citations in OpenAlex.
- A Perspective on Artificial Intelligence for Molecular Pathologists.The Journal of molecular diagnostics : JMD · 2025Review
- Machine-learning based lipid mediator serum concentration patterns allow identification of multiple sclerosis patients with high accuracy.Scientific reports · 2018Article
- Nano- and micro-based systems for immunotolerance induction in multiple sclerosis.Human vaccines & immunotherapeutics · 2016Article
- Genome-wide expression analysis suggests unique disease-promoting and disease-preventing signatures in Pemphigus vulgaris.Genes and immunity · 2013Article
- Using biomarkers to predict progression from clinically isolated syndrome to multiple sclerosis.Journal of clinical bioinformatics · 2013Article
- Autoantibody signatures involving glycolysis and splicesome proteins precede a diagnosis of breast cancer among postmenopausal women.Cancer research · 2013Article
- Using gene expression data to identify certain gastro-intestinal diseases.Journal of clinical bioinformatics · 2012Article
- Gene-expression signatures: biomarkers toward diagnosing multiple sclerosis.Genes and immunity · 2012Article
- Peripheral blood gene expression in alopecia areata reveals molecular pathways distinguishing heritability, disease and severity.Genes and immunity · 2010Article
- Serum DNA motifs predict disease and clinical status in multiple sclerosis.The Journal of molecular diagnostics : JMD · 2010Article
- Interferon signature gene expression is correlated with autoantibody profiles in patients with incomplete lupus syndromes.Clinical and experimental immunology · 2010Article
- Proteome profiling in murine models of multiple sclerosis: identification of stage specific markers and culprits for tissue damage.PloS one · 2009Article
- Disease biomarkers in multiple sclerosis: potential for use in therapeutic decision making.Molecular diagnosis & therapy · 2009Review
- Definition of non-responders: biological markers.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2008Review
- Inhibition of multiple-sclerosis-associated retrovirus as biomarker of interferon therapy.Journal of neurovirology · 2008Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 2 institutions in 4 countries.
Funding
Abstract
Multiple sclerosis is a demyelinating disease of the central nervous system with a presumed autoimmune etiology. Previous microarray analyses identified conserved gene expression signatures in peripheral blood mononuclear cells of patients with autoimmune diseases. We used quantitative real-time polymerase chain reaction analysis to identify a minimum number of genes of which transcript levels discriminated multiple sclerosis patients from patients with other chronic diseases and from controls. We used a computer program to search quantitative transcript levels to identify optimum ratios that distinguished among the different categories. A combination of a 4-ratio equation using expression levels of five genes segregated the multiple sclerosis cohort (n=55) from the control cohort (n=49) with a sensitivity of 91% and specificity of 98%. When autoimmune and other chronic disease groups were included (n=78), this discriminator still performed with a sensitivity of 79% and a specificity of 87%. This approach may have diagnostic utility not only for multiple sclerosis but also for other clinically complex autoimmune diseases.
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.