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2.  Hypogalactosylation of serum N-glycans fails to predict clinical response to methotrexate and TNF inhibition in rheumatoid arthritis 
Introduction
Rheumatoid arthritis (RA) is associated with hypogalactosylation of immunoglobulin G (IgG). We examined whether a proxy measure for galactosylation of IgG N-glycans could predict response to therapy or was differentially affected by methotrexate (MTX) or TNF blockade.
Methods
Using a previously defined normal phase high-performance liquid chromatography approach, we ascertained the galactosylation status of whole serum N-glycans in two well-defined RA clinical cohorts: the Autoimmune Biomarkers Collaborative Network (n = 98) and Nested I (n = 64). The ratio of agalactosylated to monogalactosylated N-glycans in serum (sG0/G1) was determined before and during therapy with MTX or TNF inhibition and correlated with anticitrullinated peptide antibody (ACPA) status and clinical response as assessed by 28-joint Disease Activity Score utilizing C-reactive peptide and European League Against Rheumatism response criteria.
Results
RA patients from both cohorts exhibited elevation of sG0/G1 at baseline. Improvement in clinical scores correlated with a reduction in sG0/G1 (Spearman's ρ = 0.31 to 0.37; P < 0.05 for each cohort). However, pretreatment sG0/G1 was not predictive of clinical response. Changes in sG0/G1 were similar in the MTX and TNF inhibitor groups. Corrected for disease activity, ACPA positivity correlated with higher sG0/G1.
Conclusions
Baseline serum N-glycan hypogalactosylation, an index previously correlated with hypogalactosylation of IgG N-glycans, did not distinguish patients with rheumatoid arthritis who were likely to experience a favorable clinical response to MTX or TNF blockade. Clinical improvement was associated with partial glycan normalization. ACPA-positive patients demonstrated enhanced N-glycan aberrancy compared with ACPA-negative patients.
doi:10.1186/ar3756
PMCID: PMC3446410  PMID: 22390545
3.  Interferon-Regulated Chemokines as Biomarkers of Systemic Lupus Erythematosus Disease Activity: A Validation Study 
Arthritis and rheumatism  2009;60(10):3098-3107.
Objective
Systemic lupus erythematosus (SLE) is a complex autoimmune disease characterized by unpredictable flares of disease activity and irreversible damage to multiple organ systems. An earlier study showed that SLE patients carrying an interferon gene expression signature in blood have elevated serum levels of interferon (IFN)-regulated chemokines. These chemokines were associated with more severe and active disease and showed promise as SLE disease activity biomarkers. This study was designed to validate IFN regulated chemokines as biomarkers of SLE disease activity in 267 longitudinally-followed SLE patients.
Methods
To validate the potential utility of serum chemokine levels as biomarkers for disease activity, we measured serum chemokine levels – CXCL10 (IP-10), CCL2 (MCP-1), and CCL19 (MIP-3B) – in an independent cohort of 267 SLE patients followed longitudinally over one year (1166 total visits).
Results
Serum chemokine levels correlated with current visit lupus activity (p=2×10−10), rising at flare (p=1×10−3) and decreasing as disease remitted (p=1×10−3), and performed better than currently available laboratory tests. Chemokine levels measured at a single baseline visit in patients with SLEDAI ≤4 were predictive of lupus flare over the ensuing year (p=6×10−4).
Conclusion
Monitoring serum chemokine levels in SLE may improve assessment of current disease activity, the prediction of future flare, and overall clinical decision-making.
doi:10.1002/art.24803
PMCID: PMC2842939  PMID: 19790071
4.  Blood autoantibody and cytokine profiles predict response to anti-tumor necrosis factor therapy in rheumatoid arthritis 
Introduction
Anti-TNF therapies have revolutionized the treatment of rheumatoid arthritis (RA), a common systemic autoimmune disease involving destruction of the synovial joints. However, in the practice of rheumatology approximately one-third of patients demonstrate no clinical improvement in response to treatment with anti-TNF therapies, while another third demonstrate a partial response, and one-third an excellent and sustained response. Since no clinical or laboratory tests are available to predict response to anti-TNF therapies, great need exists for predictive biomarkers.
Methods
Here we present a multi-step proteomics approach using arthritis antigen arrays, a multiplex cytokine assay, and conventional ELISA, with the objective to identify a biomarker signature in three ethnically diverse cohorts of RA patients treated with the anti-TNF therapy etanercept.
Results
We identified a 24-biomarker signature that enabled prediction of a positive clinical response to etanercept in all three cohorts (positive predictive values 58 to 72%; negative predictive values 63 to 78%).
Conclusions
We identified a multi-parameter protein biomarker that enables pretreatment classification and prediction of etanercept responders, and tested this biomarker using three independent cohorts of RA patients. Although further validation in prospective and larger cohorts is needed, our observations demonstrate that multiplex characterization of autoantibodies and cytokines provides clinical utility for predicting response to the anti-TNF therapy etanercept in RA patients.
doi:10.1186/ar2706
PMCID: PMC2714123  PMID: 19460157
5.  STAT4 and the Risk of Rheumatoid Arthritis and Systemic Lupus Erythematosus 
The New England journal of medicine  2007;357(10):977-986.
BACKGROUND
Rheumatoid arthritis is a chronic inflammatory disease with a substantial genetic component. Susceptibility to disease has been linked with a region on chromosome 2q.
METHODS
We tested single-nucleotide polymorphisms (SNPs) in and around 13 candidate genes within the previously linked chromosome 2q region for association with rheumatoid arthritis. We then performed fine mapping of the STAT1-STAT4 region in a total of 1620 case patients with established rheumatoid arthritis and 2635 controls, all from North America. Implicated SNPs were further tested in an independent case-control series of 1529 patients with early rheumatoid arthritis and 881 controls, all from Sweden, and in a total of 1039 case patients and 1248 controls from three series of patients with systemic lupus erythematosus.
RESULTS
A SNP haplotype in the third intron of STAT4 was associated with susceptibility to both rheumatoid arthritis and systemic lupus erythematosus. The minor alleles of the haplotype-defining SNPs were present in 27% of chromosomes of patients with established rheumatoid arthritis, as compared with 22% of those of controls (for the SNP rs7574865, P = 2.81×10-7; odds ratio for having the risk allele in chromosomes of patients vs. those of controls, 1.32). The association was replicated in Swedish patients with recent-onset rheumatoid arthritis (P = 0.02) and matched controls. The haplotype marked by rs7574865 was strongly associated with lupus, being present on 31% of chromosomes of case patients and 22% of those of controls (P = 1.87×10-9; odds ratio for having the risk allele in chromosomes of patients vs. those of controls, 1.55). Homozygosity of the risk allele, as compared with absence of the allele, was associated with a more than doubled risk for lupus and a 60% increased risk for rheumatoid arthritis.
CONCLUSIONS
A haplotype of STAT4 is associated with increased risk for both rheumatoid arthritis and systemic lupus erythematosus, suggesting a shared pathway for these illnesses.
doi:10.1056/NEJMoa073003
PMCID: PMC2630215  PMID: 17804842
6.  Genome-Wide Association Scan Identifies Candidate Polymorphisms Associated with Differential Response to Anti-TNF Treatment in Rheumatoid Arthritis 
Molecular Medicine  2008;14(9-10):575-581.
The prediction of response (or non-response) to anti-TNF treatment for rheumatoid arthritis (RA) is a pressing clinical problem. We conducted a genome-wide association study using the Illumina HapMap300 SNP chip on 89 RA patients prospectively followed after beginning anti-TNF therapy as part of Autoimmune Biomarkers Collaborative Network (ABCoN [Autoimmune Bio-markers Collaborative Network]) patient cohort. Response to therapy was determined by the change in Disease Activity Score (DAS28) observed after 14 wks. We used a two-part analysis that treated the change in DAS28 as a continuous trait and then incorporated it into a dichotomous trait of “good responder” and “nonresponder” by European League Against Rheumatism (EULAR) criteria. We corrected for multiple tests by permutation, and adjusted for potential population stratification using EIGENSTRAT. Multiple single nucleotide polymorphism (SNP) markers showed significant associations near or within loci including: the v-maf musculoaponeurotic fibrosarcoma oncogene homolog B (MAFB) gene on chromosome 20; the type I interferon gene IFNk on chromosome 9; and in a locus on chromosome 7 that includes the paraoxonase I (PON1) gene. An SNP in the IL10 promoter (rs1800896) that was previously reported as associated with anti-TNF response was weakly associated with response in this cohort. Replications of these results in independent and larger data sets clearly are required. We provide a reference list of candidate SNPs (P < 0.01) that can be investigated in future pharmacogenomic studies.
doi:10.2119/2008-00056.Liu
PMCID: PMC2443997  PMID: 18615156
7.  Circulating immune complexes contain citrullinated fibrinogen in rheumatoid arthritis 
Introduction
There is increasing evidence that autoantibodies and immune complexes (ICs) contribute to synovitis in rheumatoid arthritis (RA), yet the autoantigens incorporated in ICs in RA remain incompletely characterised.
Methods
We used the C1q protein to capture ICs from plasma derived from human RA and control patients. Antibodies specific for immunoglobulin were used to detect ICs, and fibrinogen antibodies were used to detect fibrinogen-containing ICs. RA and control plasma were separated by liquid chromatography, and fractions then characterised by ELISA, immunoblotting and mass spectrometry. Immunohistochemical staining was performed on rheumatoid synovial tissue.
Results
C1q-immunoassays demonstrated increased levels of IgG (p = 0.01) and IgM (p = 0.0002) ICs in plasma derived from RA patients possessing anti-cyclic citrullinated peptide (CCP+) autoantibodies as compared with healthy controls. About one-half of the anti-CCP+ RA possessed circulating ICs containing fibrinogen (p = 0.0004). Fractionation of whole RA plasma revealed citrullinated fibrinogen in the high molecular weight fractions that contained ICs. Positive correlations were observed between fibrinogen-containing ICs and anti-citrullinated fibrinogen autoantibodies, anti-CCP antibody, rheumatoid factor and certain clinical characteristics. Immunohistochemical staining demonstrated co-localisation of fibrinogen, immunoglobulin and complement component C3 in RA pannus tissue. Mass spectrometry analysis of immune complexes immunoprecipitated from RA pannus tissue lysates demonstrated the presence of citrullinated fibrinogen.
Conclusion
Circulating ICs containing citrullinated fibrinogen are present in one-half of anti-CCP+ RA patients, and these ICs co-localise with C3 in the rheumatoid synovium suggesting that they contribute to synovitis in a subset of RA patients.
doi:10.1186/ar2478
PMCID: PMC2575608  PMID: 18710572
8.  A comparison of founder-only and all-pedigree-members genotype-expression association by regression analysis 
BMC Proceedings  2007;1(Suppl 1):S8.
Genotype-expression association analysis using linear regression may produce different test results depending on whether founders only or all pedigreed members are used. This difference is not due to the correlation of samples within a pedigree, because linear mixed models have been applied to account for that correlation. We investigated the possibility that the difference is due to a dependence of expression levels on, among other things, the generation number in the pedigree. Indeed, of the 30 or so studied expression quantitative traits, several of them show significant dependence on the generation number. We propose to use all pedigree members in genotype-expression association analyses whenever the complete genotyping information is available.
PMCID: PMC2367500  PMID: 18466582
9.  Elevated Serum Levels of Interferon-Regulated Chemokines Are Biomarkers for Active Human Systemic Lupus Erythematosus 
PLoS Medicine  2006;3(12):e491.
Background
Systemic lupus erythematosus (SLE) is a serious systemic autoimmune disorder that affects multiple organ systems and is characterized by unpredictable flares of disease. Recent evidence indicates a role for type I interferon (IFN) in SLE pathogenesis; however, the downstream effects of IFN pathway activation are not well understood. Here we test the hypothesis that type I IFN-regulated proteins are present in the serum of SLE patients and correlate with disease activity.
Methods and Findings
We performed a comprehensive survey of the serologic proteome in human SLE and identified dysregulated levels of 30 cytokines, chemokines, growth factors, and soluble receptors. Particularly striking was the highly coordinated up-regulation of 12 inflammatory and/or homeostatic chemokines, molecules that direct the movement of leukocytes in the body. Most of the identified chemokines were inducible by type I IFN, and their levels correlated strongly with clinical and laboratory measures of disease activity.
Conclusions
These data suggest that severely disrupted chemokine gradients may contribute to the systemic autoimmunity observed in human SLE. Furthermore, the levels of serum chemokines may serve as convenient biomarkers for disease activity in lupus.
A comprehensive survey of the serologic proteome in human SLE suggests that severely disrupted chemokine gradients may contribute to the systemic autoimmunity observed.
Editors' Summary
Background.
The term “lupus,” meaning wolf in Latin, is often used as an abbreviation for the disease systemic lupus erythematosus (SLE). The name may have been given because some people with SLE have a rash that slightly resembles a wolf's face. The condition affects around 50 to 100 people per 100,000, and is much more common in women than men. SLE is a complicated disease that comes about when antibodies inappropriately attack the body's own connective tissues, although it is not known why this happens. Symptoms vary between different people; the disease may get better and then worse, without explanation; and can affect many different organs including the skin, joints, kidneys, blood cells, and brain and nervous system. SLE is difficult for doctors to diagnose. Although the disease cannot be cured, patients who are diagnosed with SLE can be treated for their symptoms, and the right management can slow progress of the disease. One area of SLE research focuses on finding “molecular markers” (e.g., proteins or other compounds) that could be tested for in the blood. Researchers hope this would help doctors to more accurately diagnose SLE initially, and then also help to track progress in a patient's condition.
Why Was This Study Done?
“Gene expression” is a term meaning the process by which a gene's DNA sequence is converted into the structures and functions of a cell. These investigators had found in previous studies that certain genes were more “highly expressed” in the blood cells of patients with SLE. Some of these genes were already known to be regulated by interferons (a group of proteins, produced by certain blood cells, that are important in helping to defend against viral infections). The investigators performing this study wanted to understand more clearly the role of interferon in SLE and to see whether the genes that are more highly expressed in patients with SLE go on to produce higher levels of protein, which might then provide useful markers for monitoring the condition.
What Did the Researchers Do and Find?
This research project was a “case-control” study, in which the researchers compared the levels of certain proteins in the blood of people who had SLE with the levels in people who did not have the condition. Thirty people were recruited as cases, from a group of patients with SLE who have been under evaluation at Johns Hopkins School of Medicine since 1987. Fifteen controls were recruited from a group of healthy people of similar age and sex as the patients with SLE; everyone involved in the study gave their consent to take part. Blood samples were taken from each individual, and the serum (liquid component of blood) was separated out. The serum levels of 160 different blood proteins were then measured. When comparing levels of blood proteins between the groups, the researchers found that 30 specific proteins were present at higher or lower levels in the SLE-affected patients. Many of these proteins are cytokines, which are regulated by interferons and are involved in the process of “signaling” within the immune system. A few proteins were found at lower levels. Levels of the interferon-regulated proteins were, on average, seen at higher levels in people whose condition was more severe.
What Do These Findings Mean?
These results suggest that patients with SLE are likely to have a very different pattern of regulation of certain proteins within the blood, particularly the proteins involved in signaling within the immune system. The authors propose that these proteins may be involved in the progression of the disease. There is also the possibility that some of these proteins may prove useful in diagnostic tests, or in tests for monitoring how the disease progresses. However, before any such tests could be used in clinical practice, they would need to be further developed and then thoroughly tested in clinical trials.
Additional Information.
Please access these Web sites via the online version of this summary at http://dx.doi.org/10.1371/journal.pmed.0030491
Patient information from the UK National Health Service on systemic lupus erythematosus
Patient handout from the US National Institutes of Health
MedlinePLUS encyclopedia entry on lupus
Information on lupus from the UK Arthritis Research Campaign
doi:10.1371/journal.pmed.0030491
PMCID: PMC1702557  PMID: 17177599
10.  Microarray Analyses of Peripheral Blood Cells Identifies Unique Gene Expression Signature in Psoriatic Arthritis 
Molecular Medicine  2005;11(1-12):21-29.
Psoriatic arthritis (PsA) is a chronic and erosive form of arthritis of unknown cause. We aimed to characterize the PsA phenotype using gene expression profiling and comparing it with healthy control subjects and patients rheumatoid arthritis (RA). Peripheral blood cells (PBCs) of 19 patients with active PsA and 19 age- and sex-matched control subjects were used in the analyses of PsA, with blood samples collected in PaxGene tubes. A significant alteration in the pattern of expression of 313 genes was noted in the PBCs of PsA patients on Affymetrix U133A arrays: 257 genes were expressed at reduced levels in PsA, and 56 genes were expressed at increased levels, compared with controls. Downregulated genes tended to cluster to certain chromosomal regions, including those containing the psoriasis susceptibility loci PSORS1 and PSORS2. Among the genes with the most significantly reduced expression were those involved in downregulation or suppression of innate and acquired immune responses, such as SIGIRR, STAT3, SHP1, IKBKB, IL-11RA, and TCF7, suggesting inappropriate control that favors proin-flammatory responses. Several members of the MAPK signaling pathway and tumor suppressor genes showed reduced expression. Three proinflammatory genes—S100A8, S100A12, and thioredoxin—showed increased expression. Logistic regression and recursive partitioning analysis determined that one gene, nucleoporin 62 kDa, could correctly classify all controls and 94.7% of the PsA patients. Using a dataset of 48 RA samples for comparison, the combination of two genes, MAP3K3 followed by CACNA1S, was enough to correctly classify all RA and PsA patients. Thus, PBC gene expression profiling identified a gene expression signature that differentiated PsA from RA, and PsA from controls. Several novel genes were differentially expressed in PsA and may prove to be diagnostic biomarkers or serve as new targets for the development of therapies.
doi:10.2119/2006-00003.Gulko
PMCID: PMC1449519  PMID: 16622521
11.  Cerebral Ischemia Enhances Polyamine Oxidation: Identification of Enzymatically Formed 3-Aminopropanal as an Endogenous Mediator of Neuronal and Glial Cell Death  
To elucidate endogenous mechanisms underlying cerebral damage during ischemia, brain polyamine oxidase activity was measured in rats subjected to permanent occlusion of the middle cerebral artery. Brain polyamine oxidase activity was increased significantly within 2 h after the onset of ischemia in brain homogenates (15.8 ± 0.9 nmol/h/mg protein) as compared with homogenates prepared from the normally perfused contralateral side (7.4 ± 0.5 nmol/h/mg protein) (P <0.05). The major catabolic products of polyamine oxidase are putrescine and 3-aminopropanal. Although 3-aminopropanal is a potent cytotoxin, essential information was previously lacking on whether 3-aminopropanal is produced during cerebral ischemia. We now report that 3-aminopropanal accumulates in the ischemic brain within 2 h after permanent forebrain ischemia in rats. Cytotoxic levels of 3-aminopropanal are achieved before the onset of significant cerebral cell damage, and increase in a time-dependent manner with spreading neuronal and glial cell death. Glial cell cultures exposed to 3-aminopropanal undergo apoptosis (LD50 = 160 μM), whereas neurons are killed by necrotic mechanisms (LD50 = 90 μM). The tetrapeptide caspase 1 inhibitor (Ac-YVAD-CMK) prevents 3-aminopropanal–mediated apoptosis in glial cells. Finally, treatment of rats with two structurally distinct inhibitors of polyamine oxidase (aminoguanidine and chloroquine) attenuates brain polyamine oxidase activity, prevents the production of 3-aminopropanal, and significantly protects against the development of ischemic brain damage in vivo. Considered together, these results indicate that polyamine oxidase–derived 3-aminopropanal is a mediator of the brain damaging sequelae of cerebral ischemia, which can be therapeutically modulated.
PMCID: PMC2212443  PMID: 9670045
stroke; infarction; spermine; apoptosis; caspase

Results 1-11 (11)