The search for lupus biomarkers

Neuropsychiatric Systemic Lupus Erythematosus: Molecules Involved in Its Imunopathogenesis, Clinical Features, and Treatment

Systemic lupus erythematosus (SLE) is an idiopathic chronic autoimmune disease that can affect any organ in the body, including the neurological system. Multiple factors, such as environmental (infections), genetic (many HLA alleles including DR2 and DR3, and genes including C4), and immunological influences on self-antigens, such as nuclear antigens, lead to the formation of multiple autoantibodies that cause deleterious damage to bodily tissues and organs. The production of autoantibodies, such as anti-dsDNA, anti-SS(A), anti-SS(B), anti-Smith, and anti-neuronal DNA are characteristic features of this disease. This autoimmune disease results from a failure of the mechanisms responsible for maintaining self-tolerance in T cells, B cells, or both. Immune complexes, circulating antibodies, cytokines, and autoreactive T lymphocytes are responsible for tissue injury in this autoimmune disease. The diagnosis of SLE is a rheumatological challenge despite the availability of clinical criteria. NPSLE was previously referred to as lupus cerebritis or lupus sclerosis. However, these terms are no longer recommended because there is no definitive pathological cause for the neuropsychiatric manifestations of SLE. Currently, the treatment options are primarily based on symptomatic presentations. These include the use of antipsychotics, antidepressants, and anxiolytic medications for the treatment of psychiatric and mood disorders. Antiepileptic drugs to treat seizures, and immunosuppressants (e.g., corticosteroids, azathioprine, and mycophenolate mofetil), are directed against inflammatory responses along with non-pharmacological interventions.

Tracking of Systemic Lupus Erythematosus (SLE) Longitudinally Using Biosensor and Patient-Reported Data: A Report on the Fully Decentralized Mobile Study to Measure and Predict Lupus Disease Activity Using Digital Signals-The OASIS Study

(1) Objective: Systemic lupus erythematosus (SLE) is a complex disease involving immune dysregulation, episodic flares, and poor quality of life (QOL). For a decentralized digital study of SLE patients, machine learning was used to assess patient-reported outcomes (PROs), QOL, and biometric data for predicting possible disease flares. (2) Methods: Participants were recruited from the LupusCorner online community. Adults self-reporting an SLE diagnosis were consented and given a mobile application to record patient profile (PP), PRO, and QOL metrics, and enlisted participants received smartwatches for digital biometric monitoring. The resulting data were profiled using feature selection and classification algorithms. (3) Results: 550 participants completed digital surveys, 144 (26%) agreed to wear smartwatches, and medical records (MRs) were obtained for 68. Mining of PP, PRO, QOL, and biometric data yielded a 26-feature model for classifying participants according to MR-identified disease flare risk. ROC curves significantly distinguished true from false positives (ten-fold cross-validation: p < 0.00023; five-fold: p < 0.00022). A 25-feature Bayesian model enabled time-variant prediction of participant-reported possible flares (P(true) > 0.85, p < 0.001; P(nonflare) > 0.83, p < 0.0001). (4) Conclusions: Regular profiling of patient well-being and biometric activity may support proactive screening for circumstances warranting clinical assessment.

Immunoprofiling of cytokines, chemokines, and growth factors in female patients with systemic lupus erythematosus- a pilot study

Systemic Lupus Erythematosus (SLE) is a chronic autoimmune disease affecting different organ systems. This study aimed to determine the concentrations of 30 different human cytokines, chemokines, and growth factors in human plasma to understand the role of these markers in the pathogenicity of SLE using Luminex Multiple Analyte Profiling (xMAP) technology. Plasma samples were obtained from patients with SLE (n = 28), osteoarthritis (OA) (n = 9), and healthy individuals (n = 12) were obtained. High levels of TNF, IL-6, IFN-γ, INF-α, IL-4, IL-5, IL-13, IL-8, IP-10, MIG, MCP-1, MIP-1β, GM-CSF, G-CSF, EGF, VEGF, IL-12, IL-1RA, and IL-10 was detected in SLE patients compared with the OA and healthy control groups. xMAP analysis has been used to address the differential regulation of clinical heterogeneity and immunological phenotypes in SLE patients. In addition, complete disease phenotyping information along with cytokine immune profiles would be useful for developing personalized treatments for patients with SLE.

Autoantibodies against Complement Classical Pathway Components C1q, C1r, C1s and C1-Inh in Patients with Lupus Nephritis

Autoantibodies against the complement component C1q (anti-C1q) are among the main biomarkers in lupus nephritis (LN) known to contribute to renal injury. C1q, the recognition subcomponent of the complement classical pathway, forms a heterotetrameric complex with C1r and C1s, and can also associate a central complement regulator and C1 Inhibitor (C1-Inh). However, the frequency and the pathogenic relevance of anti-C1r, anti-C1s and anti-C1-Inh autoantibodies remain poorly studied in LN. In this paper, we screened for anti-C1q, anti-C1r, anti-C1s and anti-C1-Inh autoantibodies and evaluated their association with disease activity and severity in 74 LN patients followed up for 5 years with a total of 266 plasma samples collected. The presence of anti-C1q, anti-C1r, anti-C1s and anti-C1-Inh was assessed by ELISA. IgG was purified by Protein G from antigen-positive plasma and their binding to purified C1q, C1r and C1s was examined by surface plasmon resonance (SPR). The abilities of anti-C1q, anti-C1r and anti-C1s binding IgG on C1 complex formation were analyzed by ELISA. The screening of LN patients’ plasma revealed 14.9% anti-C1q positivity; only 4.2%, 6.9% and 0% were found to be positive for anti-C1r, anti-C1s and anti-C1-Inh, respectively. Significant correlations were found between anti-C1q and anti-dsDNA, and anti-nuclear antibodies, C3 and C4, respectively. High levels of anti-C1q antibodies were significantly associated with renal histologic lesions and correlated with histological activity index. Patients with the most severe disease (A class according to BILAG Renal score) had higher levels of anti-C1q antibodies. Anti-C1r and anti-C1s antibodies did not correlate with the clinical characteristics of the LN patients, did not interfere with the C1 complex formation, and were not measurable via SPR. In conclusion, the presence of anti-C1q, but not anti-C1s or anti-C1r, autoantibodies contribute to the autoimmune pathology and the severity of LN.

Association of CD14 genetic variants and circulating level with systemic lupus erythematosus risk in Egyptian children and adolescents

Aim: To demonstrate whether sCD14 and CD14 (rs2569190 A/G and rs2569191 C/T) genetic variants are associated with systemic lupus erythematosus (SLE) risk, for the first time, in Egyptian pediatrics and adolescents. Materials & methods: sCD14 concentrations were determined in plasma of 95 SLE cases and 98 healthy controls using ELISA assay. Genotyping was performed using TaqMan technology. Results: sCD14 levels were elevated in SLE. Individuals with T, CT and TT genotypes in rs2569191 were of significant risk (odds ratio = 1.471-2.035, 95% CI = 1.138-3.471) and those with combined CT+TT and haplotype GT were of higher risk of SLE (odds ratio = 1.660-1.758, 95% CI = 1.003-3.106, p < 0.05). sCD14 levels and CD14 polymorphism were not correlated with SLE clinical and laboratory features. Conclusion: In SLE, sCD14 levels are associated with rs2569190 A/G. Genotype CT+TT in rs2569191 C/T and haplotype GT are associated with SLE risk in Egyptian pediatric and adolescents.

Biomarkers Associated with Organ-Specific Involvement in Juvenile Systemic Lupus Erythematosus

Juvenile systemic lupus erythematosus (JSLE) is characterised by onset before 18 years of age and more severe disease phenotype, increased morbidity and mortality compared to adult-onset SLE. Management strategies in JSLE rely heavily on evidence derived from adult-onset SLE studies; therefore, identifying biomarkers associated with the disease pathogenesis and reflecting particularities of JSLE clinical phenotype holds promise for better patient management and improved outcomes. This narrative review summarises the evidence related to various traditional and novel biomarkers that have shown a promising role in identifying and predicting specific organ involvement in JSLE and appraises the evidence regarding their clinical utility, focusing in particular on renal biomarkers, while also emphasising the research into cardiovascular, haematological, neurological, skin and joint disease-related JSLE biomarkers, as well as genetic biomarkers with potential clinical applications.

Clinical and Immunological Biomarkers for Systemic Lupus Erythematosus

Systemic lupus erythematosus (SLE) is characterized by immune system dysfunction and is clinically heterogeneous, exhibiting renal, dermatological, neuropsychiatric, and cardiovascular symptoms. Clinical and physiological assessment is usually inadequate for diagnosing and assessing pathophysiological processes in SLE. Clinical and immunological biomarkers could play a critical role in improving diagnosis, assessment, and ultimately, control of SLE. This article reviews clinical and immunological biomarkers that could diagnose and monitor disease activity in SLE, with and without organ-specific injury. In addition, novel SLE biomarkers that have been discovered through “omics” research are also reviewed.

Mayan alleles of the HLA-DRB1 major histocompatibility complex might contribute to the genetic susceptibility to systemic lupus erythematosus in Mexican patients from Tapachula, Chiapas

INTRODUCTION

Systemic lupus erythematosus (SLE) is the prototypic autoimmune disease that disrupts numerous immunity mechanisms with the potential to exert damage to any organ or tissue. Its etiology remains uncertain; however, genetic and environmental factors that differ between populations strongly influence its development. Among the physiopathogenic factors, the genetic ones predominate, notably the major histocompatibility complex (MHC) loci. A high degree of ethnical admixture makes Mexican Mestizos a thoroughly genetically heterogeneous population. Therefore, this study aimed to identify the MHC polymorphisms associated with SLE development in Mexican Mestizos from Southern Mexico and compare them with patients from Mexico City.

METHOD

A transversal study in SLE patients from Tapachula, Chiapas, was conducted. DNA typing of human leukocyte antigens (HLA) classes I and II was performed using single specific primers (SSP). Admixture analysis was performed using the population genetics LEADMIX software.

RESULTS

The frequencies of HLA-DRB1*16 and HLA-DQB1*05 were found to have a tendency towards increase in SLE patients, compared to ethnically matched healthy controls. The allele HLA-DRB1*03 seemed to be less associated with SLE in this group of Mexican Mestizos, opposed to other more Caucasian populations. Admixture analysis showed a higher Mayan genetic component in these patients from Chiapas.

CONCLUSIONS

The genetic susceptibility for SLE differed in two populations of Mexican Mestizos with dissimilar ethnic ancestries. Autochthonous Amerindian alleles, and not the more widely known Caucasian alleles, might be associated with the susceptibility to SLE in Mexican Mestizos from Tapachula, Chiapas. Key Points • Autochthonous Amerindian alleles, such as HLA-DRB1*16, had a tendency to be increased in SLE patients, compared to healthy controls. • SLE susceptibility alleles vary considerably among regions in Mexico, according to the distribution of the indigenous groups. • Ethnic admixture is a key determinant in the genetic susceptibility of SLE.

Systemic lupus erythematosus: The search for the ideal biomarker

During the last decades, there has been an increased interest in the discovery and validation of biomarkers that reliably reflect specific aspects of lupus. Although many biomarkers have been developed, few of them have been validated and used in clinical practice, but with unsatisfactory performances. Thus, there is still a need to rigorously validate many of these novel promising biomarkers in large-scale longitudinal studies and also identify better biomarkers not only for lupus diagnosis but also for monitoring and predicting upcoming flares and response to treatment. Besides serological biomarkers, urinary and cerebrospinal fluid biomarkers have emerged for assessing both renal and central nervous system involvement in systemic lupus erythematosus, respectively. Also, novel omics techniques help us to understand the molecular basis of the disease and also allow the identification of novel biomarkers which may be potentially useful for guiding new therapeutic targets.

Long Non-Coding RNAs as New Biomarkers in Lupus Nephritis: A Connection Between Present and Future

Lupus nephritis (LN) is a severe complication of systemic lupus erythematosus (SLE). LN often leads to kidney failure, affecting the quality of a patient's life. There are several classical biomarkers that assist nephrologists’ daily practice. For more than 50 years, anti-double stranded DNA antibodies and complement components C3 and C4 have been used for LN disease activity evaluation. The major obstacle in the usage of conventional biomarkers is that none of them have both high specificity and high sensitivity. Moreover, an invasive kidney biopsy is still the gold standard for renal involvement detection in SLE patients. Therefore, new non-invasive biomarkers are needed for the early and accurate establishment of LN. Among the promising candidates are long non-coding RNAs (lncRNAs). Their dysregulation appears to have predictive and diagnostic potential. Furthermore, these biomarkers like other conventional biomarkers give insight into the pathogenesis of LN. This review aims to summarize the available information on lncRNAs in SLE patients and to present their future opportunities to add to the conventional biomarkers in the diagnosis and monitoring of LN.

Serum leucine-rich α2-glycoprotein is elevated in patients with systemic lupus erythematosus and correlates with disease activity

BACKGROUND

We evaluated whether serum leucine-rich α2-glycoprotein (LRG) is associated with disease activity in patients with systemic lupus erythematosus (SLE).

METHODS

We measured serum LRG in 194 SLE patients. SLE disease activity index-2000 (SLEDAI-2 K) was used to assess SLE activity, and patients with SLEDAI-2 K ≥5 were defined as having active SLE. Correlation between serum LRG, SLEDAI-2 K, and laboratory variables was estimated by Pearson's correlation analysis. The optimal serum LRG cut-off value for predicting active SLE was calculated using receiver operator characteristic (ROC) curve, and multivariable logistic regression was used to determine the odds ratio (OR) of laboratory variables.

RESULTS

In total, 74 (38.1%) and 120 (61.9%) patients were classified as active and inactive SLE, respectively. Serum LRG was higher in patients with active SLE than in inactive SLE and healthy controls (26.6 vs. 14.4 vs. 1.2 ng/ml, p < .001). Serum LRG significantly correlated with SLEDAI-2 K (r = 0.340, p < .001) and laboratory variables. ROC analysis revealed that optimal serum LRG cut-off value for active SLE was >45.7 ng/ml. In multivariable logistic regression analysis, serum LRG >45.7 ng/ml (OR 4.089, 95% confidence interval 1.351, 12.376, p = .013) was an independent predictor of active SLE.

CONCLUSIONS

Serum LRG might be a biomarker for estimating SLE disease activity.

Platelet distribution width as a novel indicator of disease activity in systemic lupus erythematosus

Background:

Significance of platelet distribution width (PDW) and mean platelet volume (MPV) in assessing disease activity of systemic lupus erythematosus (SLE) remains unclear. This study was aimed to evaluate PDW and MPV as potential disease activity markers in adult SLE patients.

Materials and Methods:

A total of 204 study participants, including 91 SLE patients and 113 age- and gender-matched healthy controls, were selected in this cross-sectional study. They were classified into three groups: control group (n = 113), active SLE group (n = 54), and inactive SLE group (n = 37). Demographic, clinical, and laboratory data were analyzed.

Results:

In patient group, PDW was statistically higher than that in control group (13.54 ± 2.67 vs. 12.65 ± 2.34, P = 0.012), and in active group, PDW was significantly increased compared to inactive group (14.31 ± 2.90 vs. 12.25 ± 1.55, P < 0.001). However, MPV was significantly lower in SLE group than in control group (10.74 ± 0.94 vs. 11.09 ± 1.14, P = 0.016). PDW was positively correlated with SLE disease activity index (P < 0.001, r = 0.529) and erythrocyte sedimentation rate (P = 0.002, r = 0.321) and negatively correlated with C3 (P < 0.001, r = −0.419). However, there was no significant association between MPV and these study variables. A PDW level of 11.85% was determined as a predictive cutoff value of SLE diagnosis (sensitivity 76.9%, specificity 42.5%) and 13.65% as cutoff of active stage (sensitivity 52.6%, specificity 85.3%).

Conclusion:

This study first associates a higher PDW level with an increased SLE activity, suggesting PDW as a novel indicator to monitor the activity of SLE.

Predictive value of the neutrophil-to-lymphocyte ratio and hemoglobin insystemic lupus erythematosus

The aim of the present study was to evaluate the association of the neutrophil-to-lymphocyte ratio (NLR) and hemoglobin levels with disease activity in patients with systemic lupus erythematosus (SLE) and to explore their clinical significance in predicting SLE. The present study included 212 patients with SLE and 201 healthy controls. All the clinical characteristics were collected from their medical records. The results revealed that the NLR was elevated and the hemoglobin level was markedly decreased in the patients with SLE compared with the healthy controls. NLR was positively correlated with the SLE Disease Activity Index 2000 (SLEDAI-2K), erythrocyte sedimentation rate (ESR) and C-reactive protein (CRP), whereas it was not correlated with C3 or C4. The hemoglobin level was negatively correlated with SLEDAI-2K, ESR and CRP and positively correlated with C3 and C4. In addition, NLR [EXP(B)=1.986; 95% confidence interval (CI), 1.432-2.753; P=0.001] and hemoglobin [EXP(B)=0.947; 95% CI, 0.929-0.965; P=0.001] were independent predictive factors of SLE. The optimal NLR cut-off value for predicting SLE was 2.075, with 71.14% sensitivity and 69.57% specificity, whereas the optimal hemoglobin cut-off value was 131.5 mg/l, with 75.79% sensitivity and 77.98% specificity. In addition, high NLR together with low hemoglobin levels and high NLR or low hemoglobin levels had increased positive predictive values (86.05 and 66.95, respectively). High NLR with low hemoglobin levels and high NLR or low hemoglobin levels also had higher sensitivity (64.91 and 92.40, respectively) and specificity (64.91 and 18.95, respectively), compared with high NLR alone or low hemoglobin alone. In conclusion, NLR and hemoglobin may reflect SLE disease activity and may be used as markers for predicting the outcome of SLE.

Plasma C4d as marker for lupus nephritis in systemic lupus erythematosus

BACKGROUND

In the present study, we sought to evaluate the complement activation product C4d as a marker for lupus nephritis in systemic lupus erythematosus (SLE).

METHODS

C4d levels were determined by enzyme-linked immunosorbent assay in plasma samples of patients with established SLE using a novel approach based on detection of a short linear cleavage neoepitope. Cross-sectional associations were studied in 98 patients with SLE with samples taken at lower or higher respective disease activity. Temporal associations were investigated in 69 patients with SLE who were followed longitudinally for up to 5 years. Plasma samples from 77 healthy donors were included as controls.

RESULTS

C4d levels were negligible in healthy control subjects and significantly increased in patients with SLE in the cross-sectional study (p < 0.0001). C4d levels discriminated between higher and lower disease activity according to ROC curve analysis (p < 0.001), exhibiting a positive predictive value of 68%. At higher disease activity, C4d levels correlated with the modified Systemic Lupus Erythematosus Disease Activity Index (p = 0.011) and predominantly with lupus nephritis (p = 0.003), exhibiting a sensitivity of 79% to identify patients with nephritis. High C4d levels together with the presence of anti-dsDNA autoantibodies preceded and thus predicted future lupus nephritis in the longitudinal study (OR 5.4, 95% CI 1.4-21.3). When we considered only patients with renal involvement (19 of 69) during the longitudinal study, we found that high C4d levels alone could forecast recurrence of future lupus nephritis (OR 3.3, 95% CI 1.2-9.6).

CONCLUSIONS

C4d appears to be a valuable marker for use in monitoring of patients with SLE, particularly for lupus nephritis. Importantly, C4d levels can predict impending flares of lupus nephritis and may thus be useful for informing treatment.

Beneficial effect of magnolol on lupus nephritis in MRL/lpr mice by attenuating the NLRP3 inflammasome and NF‑κB signaling pathway: A mechanistic analysis

Lupus nephritis (LN) is a common complication of systemic lupus erythematosus. The present study aimed to elucidate the protective effect of magnolol (MG) on the progression of LN, via inhibition of key signaling pathways. The results of the present study demonstrated that administration of MG caused inhibition of the activation of NACHT, LRR and PYD domains‑containing protein 3 and interleukin‑1β production. Histopathological analysis confirmed that the vehicle‑treated group exhibited characteristic glomerular disease, which was observed to be suppressed following the administration of MG; a marked decrease in glomerular and vascular lesions was observed compared with the vehicle control. This decrease was further demonstrated through analysis of kidney sections. The expression level of cell surface glycoprotein F4/80 was demonstrated to be markedly decreased in the MG‑treated mice compared with the vehicle control group. The MG‑treated mice exhibited a marked decrease in serum and renal tumor necrosis factor‑α expression levels.

Distinguishing infections vs flares in patients with systemic lupus erythematosus

SLE is a chronic autoimmune disease involving multiple systems. Patients with SLE are highly susceptible to infections due to the combined effects of their immunosuppressive therapy and the abnormalities of the immune system that the disease itself causes, which can increase mortality in these patients. The differentiation of SLE activity and infection in a febrile patient with SLE is extremely difficult. Activity indexes are useful to identify patients with lupus flares but some clinical and biological abnormalities may, however, make it difficult to differentiate flares from infection. Several biological markers are now recognized as potential tools to establish the difference between SLE activity and infection, including CRP and procalcitonin. It is possible, however, that the use of only one biomarker is not sufficient to confirm or discard infection. This means that new scores, which include different biomarkers, might represent a better solution for differentiating these two clinical pictures. This review article describes several markers that are currently used, or have the potential, to differentiate infection from SLE flares.

Neutrophil to Lymphocyte Ratio and Mean Platelet Volume as Inflammatory Indicators in Systemic Lupus Erythematosus Nephritis

OBJECTIVES

This study aims to evaluate the role of neutrophil to lymphocyte ratio (NLR) and mean platelet volume (MPV) as activation and inflammatory markers in systemic lupus erythematosus (SLE) patients with nephritis.

PATIENTS AND METHODS

A total of 108 SLE patients (8 males, 100 females; mean age 35.3±10.2 years; range 16 to 64 years) including 78 patients with renal involvement (8 males, 70 females; mean age 33.9±10.6 years; range 16 to 64 years) (SLEn+ group) and 30 patients without renal involvement (30 females; mean age 39.1±8.2 years; range 22 to 55 years) (SLEn- group) were included in this retrospective study. All patients' clinical characteristics and laboratory data which include erythrocyte sedimentation rate, C-reactive protein, white blood counts, neutrophil counts, lymphocyte counts, platelet counts, and MPV levels were obtained from medical records. The laboratory data at the highest proteinuria periods of the patients with renal involvement were recorded.

RESULTS

Mean MPV (SLEn+ =9.1±2.2, SLEn- =7.9±1.2, p=0.001) and NLR (SLEn+ =5.9±5.9, SLEn- =2.6±2.5, p<0.001) values were significantly higher in lupus nephritis group. Besides, a positive correlation between NLR and C-reactive protein was found in lupus nephritis group (r=1.97, p=0.045). Based on receiver operating characteristic curve with area under the curve of 0.76, cutoff NLR value of 1.93 had 83% sensitivity and 54% specificity [95% confidence interval, 0.66-0.85] in differentiating SLE patients with or without nephritis.

CONCLUSION

Neutrophil to lymphocyte ratio and MPV may be discriminative for lupus nephritis. Also, NLR may be a predictor of lupus nephritis. Both MPV and NLR values may be affected by a great number of factors; therefore, further prospective studies are needed to evaluate the use of these parameters in SLE.

Pathways of impending disease flare in African-American systemic lupus erythematosus patients

Immune dysregulation in systemic lupus erythematosus (SLE) contributes to increased disease activity. African-American (AA) SLE patients have an increased prevalence of complications from disease flares and end-organ damage that leads to increased morbidity and early mortality. We previously reported alterations in inflammatory and regulatory immune mediator levels prior to disease flare in European American (EA) SLE patients. In the current study, we assessed baseline and follow-up plasma levels of 52 soluble mediators, including innate, adaptive, chemokine, and TNF superfamily members, in AA SLE patients who developed SELENA-SLEDAI defined flare 6 or 12 weeks after baseline assessment. These patients were compared to themselves during a comparable, clinically stable period (SNF, n = 18), or to demographically matched SLE patients without impending disease flare (NF, n = 13 per group). We observed significant (q < 0.05) alterations in 34 soluble mediators at baseline, with increased levels of both innate (IL-1α and type I interferons [IFN]) and adaptive cytokines (Th1-, Th2-, and Th17-type), as well as IFN-associated chemokines and soluble TNF superfamily members weeks before clinical disease flare. In contrast, stable SLE patients exhibited increased levels of the regulatory mediators IL-10 (q ≤ 0.0045) and TGF-β (q ≤ 0.0004). Because heterogeneous immune pathways were altered prior to clinical disease flare, we developed a soluble mediator score that encapsulates all mediators tested. This score is the sum of all log transformed, standardized soluble mediator levels assessed at baseline (pre-flare), weighted by their Spearman correlation coefficients for association with the SELENA-SLEDAI score at time of concurrent flare. While baseline SELENA-SLEDAI scores were similar between flare vs. NF (p = 0.7214) and SNF (p = 0.5387), the SMS was significantly higher in pre-flare SLE patients (Flare vs NF or SNF, p < 0.0001). By capturing alterations in the balance between inflammatory and regulatory mediators associated with SLE pathogenesis, the soluble mediator score approximates the immune status of SLE patients and provides a robust, predictive gauge of impending disease flare.

Association between killer cell immunoglobulin-like receptor (KIR) polymorphisms and systemic lupus erythematosus (SLE) in populations: A PRISMA-compliant meta-analysis

BACKGROUND

Recently, a growing number of studies show that the killer cell immunoglobulin-like receptor (KIR) gene polymorphisms may play a role in the systemic lupus erythematosus (SLE) susceptibility. Nonetheless, the results were inconsistent. Thus, a meta-analysis was carried out by integrating multiple research to clarify the association between KIR polymorphisms and SLE susceptibility.

METHODS

The Web of Science, Embase (Ovid), PubMed, Elsevier Science Direct, the Chinese Biomedical Database and CNKI, Wanfang databases (last search was updated on May 15, 2016) were systematically searched to select studies on addressing the association between the KIR polymorphisms and susceptibility to SLE in populations. The odds ratio (OR) with 95% confidence interval (95% CI) was calculated.

RESULTS

A total of 10 published case-control studies involving 1450 SLE patients and 1758 controls were available for this meta-analysis. Results suggested that KIR2DL1 might be a risk factor for SLE (OR 2DL1 =1.047, 95% CI=1.011-1.083) in all subjects. The KIR2DL3, KIR2DL5 were identified as protective factors for SLE in Asian populations (OR2DL3= 0.215, 95% CI = 0.077-0.598; OR2DL5 = 0.588, 95% CI = 0.393-0.881), but not in Caucasians.

CONCLUSIONS

The meta-analysis results suggested that 2DL1 might be a potential risk factor and 2DL3, 2DL5 might be protective factors for SLE in Asians but not in Caucasians.

Multivariate strategy for the sample selection and integration of multi-batch data in metabolomics

INTRODUCTION

Availability of large cohorts of samples with related metadata provides scientists with extensive material for studies. At the same time, recent development of modern high-throughput 'omics' technologies, including metabolomics, has resulted in the potential for analysis of large sample sizes. Representative subset selection becomes critical for selection of samples from bigger cohorts and their division into analytical batches. This especially holds true when relative quantification of compound levels is used.

OBJECTIVES

We present a multivariate strategy for representative sample selection and integration of results from multi-batch experiments in metabolomics.

METHODS

Multivariate characterization was applied for design of experiment based sample selection and subsequent subdivision into four analytical batches which were analyzed on different days by metabolomics profiling using gas-chromatography time-of-flight mass spectrometry (GC-TOF-MS). For each batch OPLS-DA^® was used and its p(corr) vectors were averaged to obtain combined metabolic profile. Jackknifed standard errors were used to calculate confidence intervals for each metabolite in the average p(corr) profile.

RESULTS

A combined, representative metabolic profile describing differences between systemic lupus erythematosus (SLE) patients and controls was obtained and used for elucidation of metabolic pathways that could be disturbed in SLE.

CONCLUSION

Design of experiment based representative sample selection ensured diversity and minimized bias that could be introduced at this step. Combined metabolic profile enabled unified analysis and interpretation.

Deciphering systemic lupus erythematosus-associated serum biomarkers reflecting apoptosis and disease activity

Systemic lupus erythematosus (SLE) is a severe chronic inflammatory autoimmune connective tissue disease. Despite major efforts, SLE remains a poorly understood disease with unpredictable course, unknown etiology and complex pathogenesis. Apoptosis combined with deficiency in clearing apoptotic cells is an important etiopathogenic event in SLE, which could contribute to the increased load of potential autoantigen(s); however, the lack of disease-specific protein signatures deciphering SLE and the underlying biological processes is striking and represents a key limitation. In this retrospective pilot study, we explored the immune system as a specific sensor for disease, in order to advance our understanding of SLE. To this end, we determined multiplexed serum protein expression profiles of crude SLE serum samples, using antibody microarrays. The aim was to identify differential immunoprofiles, or snapshots of the immune response modulated by the disease, reflecting apoptosis, a key process in the etiology of SLE and disease activity. The results showed that multiplexed panels of SLE-associated serum biomarkers could be decoded, in particular reflecting disease activity, but potentially the apoptosis process as well. While the former biomarkers could display a potential future use for prognosis, the latter biomarkers might help shed further light on the apoptosis process taking place in SLE.

Metabolic Profiling of Systemic Lupus Erythematosus and Comparison with Primary Sjögren's Syndrome and Systemic Sclerosis

Systemic lupus erythematosus (SLE) is a chronic inflammatory autoimmune disease which can affect most organ systems including skin, joints and the kidney. Clinically, SLE is a heterogeneous disease and shares features of several other rheumatic diseases, in particular primary Sjögrens syndrome (pSS) and systemic sclerosis (SSc), why it is difficult to diagnose The pathogenesis of SLE is not completely understood, partly due to the heterogeneity of the disease. This study demonstrates that metabolomics can be used as a tool for improved diagnosis of SLE compared to other similar autoimmune diseases. We observed differences in metabolic profiles with a classification specificity above 67% in the comparison of SLE with pSS, SSc and a matched group of healthy individuals. Selected metabolites were also significantly different between studied diseases. Biochemical pathway analysis was conducted to gain understanding of underlying pathways involved in the SLE pathogenesis. We found an increased oxidative activity in SLE, supported by increased xanthine oxidase activity and an increased turnover in the urea cycle. The most discriminatory metabolite observed was tryptophan, with decreased levels in SLE patients compared to control groups. Changes of tryptophan levels were related to changes in the activity of the aromatic amino acid decarboxylase (AADC) and/or to activation of the kynurenine pathway.

Advances in the diagnosis and classification of systemic lupus erythematosus

INTRODUCTION

Systemic lupus erythematosus (SLE) is the prototype of systemic autoimmune diseases. Patients with SLE display a wide spectrum of clinical and serological findings that can mislead and delay the diagnosis. Diagnostic criteria have not been developed yet, whereas several sets of classification criteria are available; however, none of them has 100% sensitivity and 100% specificity, i.e. the hallmark of diagnostic criteria. Nevertheless, classification criteria are often misused as diagnostic criteria, which may affect earliness of diagnosis and lead to more misdiagnosed cases. Areas covered: In this review, we compare old and new classification criteria, discussing their application and pinpointing their limitations in the management of patients. Moreover, we will focus on current and novel biomarkers for SLE diagnosis, highlighting their predictive value and applicability in clinical practice. Expert commentary: SLE diagnosis still represents a challenge, remaining largely based on a clinical judgment. Besides SLE diagnosis, even its classification is still challenging to date. Indeed, although classification of SLE seems to be achieved more frequently with the 2012 SLICC criteria than with the previous 1997 ACR criteria, this last-updated 2012 set might be improved. Notably, diagnostic and classification criteria should be applied to any subject in the world, and consequently they should include immunological variables validated in different populations, which is still an unmet need.

Evaluation of Endothelial Cell Adhesion Molecules and Anti-C1q Antibody in Discriminating between Active and Non-Active Systemic Lupus Erythematosus

BACKGROUND

Detecting the active state of systemic lupus erythematosus (SLE) is important but challenging. This study aimed to determine the diagnostic accuracy of serum endothelial cell adhesion molecules (ICAM-1 and VCAM-1) and anti-C1q antibody in discriminating between active and non-active SLE.

METHODS

Using SELENA-SLE disease activity index (SLEDAI), 95 SLE patients (45 active and 50 non-active) were assessed. A score above five was considered indicative of active SLE. The blood samples were tested for serum ICAM-1, VCAM-1 and anti-C1q antibody using enzyme-linked immunosorbent assay (ELISA).

RESULTS

The levels of serum VCAM-1 and anti-C1q antibody were significantly higher in active SLE patients. Both VCAM-1 and anti-C1q were able to discriminate between active and non-active SLE (p-value < 0.001 and 0.005, respectively). From the receiver operating characteristic curves (ROCs) constructed, the optimal cut-off values for VCAM-1 and anti-C1q antibody in discriminating between active and non-active SLE were 30.5 ng/mL (69.0% sensitivity, 60.0% specificity, PPV 58.5%, NPV 66.7%) and 7.86 U/mL (75.6% sensitivity, 80% specificity, PPV 77.3%, NPV 78.4%), respectively. However, serum ICAM-1 level was unable to discriminate between the two groups (p-value = 0.193).

CONCLUSION

Anti-C1q antibody demonstrated the best diagnostic accuracy in discriminating between active and non-active SLE patients.

Sialyltransferase and Neuraminidase Levels/Ratios and Sialic Acid Levels in Peripheral Blood B Cells Correlate with Measures of Disease Activity in Patients with Systemic Lupus Erythematosus and Rheumatoid Arthritis: A Pilot Study

Objective

We attempted to determine whether the level of enzymes sialyltransferase (ST) and neuraminidase (Neu) and sialic acid (SIA) in patients with systemic lupus erythematosus (SLE) correlates with the SLE Disease Activity Index (SLEDAI) and in patients with rheumatoid arthritis (RA) correlates with the Disease Activity Score28 (DAS28).

Methods

We examined cell-surface levels of ST6Gal-1, Neu1, ST3Gal-1, Neu3, α-2,6-SIA, and α-2,3-SIA by using fluorescent anti-enzyme antibodies, fluorescent-conjugated Sambucus nigra lectin, and fluorescent-conjugated Maackia amurensis lectin on blood cells in SLE and RA patients and assessed correlations of these levels with SLEDAI and with DAS28. Areas under the curve (AUC) were calculated for different variables against SLEDAI.

Results

The B-cell ST3Gal-1/Neu3 ratio positively correlated with SLEDAI scores (ρ = 0.409 and P = 0.002, statistically significant after Bonferroni’ correction for multiple analyses.). It was supported by the inverse correlation of B-cell Neu3 levels with SLEDAI scores (ρ = −0.264, P = 0.048). The B-cell ST3Gal-1/Neu3 ratio against SLEDAI yielded an AUC of 0.689, which was comparable to that of anti-dsDNA levels at 0.635. In contrast, both ST3Gal-1 and Neu3 levels of RA B cells (r = 0.376, P = 0.013; r = 0.425, P = 0.005, respectively) correlated positively with high disease-activity DAS28 scores.

Conclusion

B-cell ST3Gal-1/Neu3 ratios in SLE and B-cell ST3Gal-1 and Neu3 levels in RA with high disease-activity DAS28 scores correlated with disease activity measures and may be useful in monitoring disease activities.

Analysis of Erythrocyte C4d to Complement Receptor 1 Ratio: Use in Distinguishing between Infection and Flare-Up in Febrile Patients with Systemic Lupus Erythematosus

Objective. Fever in systemic lupus erythematosus (SLE) can be caused by infection or flare-up of the disease. This study aimed to determine whether the ratio of the level of erythrocyte-bound C4d to that of complement receptor 1 (C4d/CR1) can serve as a useful biomarker in the differentiation between infection and flare-up in febrile SLE patients. Methods. We enrolled febrile SLE patients and determined the ratio on the day of admission. The patients were divided into 2 groups according to the subsequent clinical course. Results. Among the febrile SLE patients, those with flare-up had higher ratios and lower C-reactive protein (CRP) levels than those with infection. Cut-off values of <1.2447 and >4.67 for C4d/CR1 ratio and CRP, respectively, were 40.91% sensitive and 100.0% specific for the presence of infection in febrile SLE patients; similarly, cut-off values of >1.2447 and <2.2, respectively, were 80% sensitive and 100% specific for the absence of infection in febrile SLE patients. Conclusion. The C4d/CR1 ratio is a simple and quickly determinable biomarker that enables the differentiation between infection and flare-up in febrile SLE patients at initial evaluation. Further, when combined with the CRP level, it is useful to evaluate disease activity in SLE patients with infection.

Diagnostic value of serum complement C3 and C4 levels in Chinese patients with systemic lupus erythematosus

In 2009, hypocomplementemia involving C3, C4, and total hemolytic complement (CH50) was proposed as an immunologic criterion to enhance the sensitivity of systemic lupus erythematosus (SLE) classification criteria. This study evaluated the diagnostic value of low serum complement C3 and C4 levels in Chinese patients with SLE. In total, 2452 patients were enrolled in this study (158 with SLE and 2294 with other diseases). Receiver operating characteristic analysis showed that the optimal C3 and C4 cut-off levels for a diagnosis of SLE were 0.785 g/L (sensitivity, 77.9%; specificity, 81.5%) and 0.145 g/L (sensitivity, 80.1%; specificity, 83.2%), respectively. The prevalence of a low C3 or C4 level alone was similar between patients with SLE and those with other diseases, while the prevalence of simultaneously low C3 and C4 levels was higher in patients with SLE (73.42%). Antinuclear antibody had a high sensitivity (96.64%) and low negative likelihood ratio (0.04). Hypocomplementemia with positive antinuclear antibody had a high positive likelihood ratio. Inclusion of hypocomplementemia as a classification criterion for SLE resulted in a 16.18% increase in the number of patients assigned to the SLE group (from 136 to 158 patients). Hypocomplementemia was highly prevalent in patients with hematological disease (41.94%). These results suggest that hypocomplementemia has important diagnostic value for SLE by improving the sensitivity of the diagnosis of SLE. C3 and C4 should be tested simultaneously because a low C3 or C4 level alone is not a suitable immunological criterion.

Measuring eosinophiluria, urinary eosinophil cationic protein and urinary interleukin-5 in patients with Lupus Nephritis

BACKGROUND

Urine is increasingly becoming an attractive biological fluid in clinical practice due to being an easily obtained, non-invasive sampling method, containing proteins and peptides. The aim of this study was to investigate eosinophiluria, urinary eosinophil cationic protein (uECP) and urinary IL-5 (uIL-5) in patients with Lupus Nephritis.

METHODS

Seventy-four patients with SLE-20 with clinical and laboratory evidence of lupus nephritis (LN group) and 54 without evidence of renal involvement (non-LN group)-were analyzed regarding eosinophiluria, uECP and uIL-5. Eosinophiluria was observed by Hansel's stain, ECP by fluoroenzymeimmunoassay and uIL-5 by quantitative sandwich enzyme immunoassay. Both uECP and urinary IL-5 (uIL-5) were corrected by urinary creatinine. Eosinophiluria and uECP were compared with glomerular erythrocyturia, protein/creatinine ratio (Pr/Cr ratio), serum creatinine, estimated glomerular filtration rate (eGFR), anti-double-stranded DNA (anti-dsDNA), serum levels of complement (C3 and C4), uIL-5/Cr ratio, and SLE disease activity index.

RESULTS

Patients of the LN group had higher eosinophiluria, uECP, uECP/Cr ratio levels, and uIL-5 than patients of the non-LN group (p<0.001 for all). These variables showed a statistically significant correlation with glomerular erythrocyturia, casts, Pr/Cr ratio, serum creatinine, eGFR, anti-dsDNA, uIL-5/Cr, and SLE disease activity index (all p<0.05).

CONCLUSION

These results provide evidence of increased urinary eosinophils, ECP and IL-5 in patients with SLE and LN; uECP/Cr ratio showed better correlation with markers of renal function and SLE disease activity.

The Potential effect of G915C polymorphism in regulating TGF-β1 transport into Endoplasmic Reticulum for cytokine production

The TGF-β1 cytokine concentration is known to be higher in nephritis with implied Lupus Nephritis severity. The production of TGF-β1 cytokine is associated with G915C polymorphism. Therefore, it is of interest to study G915C polymorphism. The G915C polymorphism changes codon 25 which encodes arginine into proline in the signal peptide of TGF-β1. The amino acid substitution affects signal peptide properties that may inhibit the transport of TGF-β1 into the endoplasmic reticulum and eventually decline the cytokine production. Hence, the effect of G915C polymorphism on the properties of the signal peptide, the ability of TGF-β1 transport into the endoplasmic reticulum and the concentrations of urinary TGF-β1 in Lupus Nephritis patients was studied. The arginine substitution into proline decreased the polarity of the signal peptide for TGF-β1. The increased hydrophobicity with increased binding energy of the signal peptide for TGF-β1 to Signal Recognition Particle (SRP) and translocon is shown. This implies decreased protein complex stability in potentially blocking the transport of TGF-β1 into the endoplasmic reticulum. This transport retention possibly hampers the synthesis and maturation of TGF-β1 leading to decreased cytokine production.

Proinflammatory adaptive cytokine and shed tumor necrosis factor receptor levels are elevated preceding systemic lupus erythematosus disease flare

OBJECTIVE

Systemic lupus erythematosus (SLE) is a multifaceted disease characterized by immune dysregulation and unpredictable disease activity. This study sought to evaluate the changes in plasma concentrations of soluble mediators that precede clinically defined disease flares.

METHODS

Fifty-two different soluble mediators, including cytokines, chemokines, and soluble receptors, were examined using validated multiplex bead-based or enzyme-linked immunosorbent assays in plasma from 28 European American patients with SLE who developed disease flare 6 or 12 weeks after a baseline assessment (preflare), 28 matched SLE patients without impending flare (nonflare), and 28 matched healthy controls. In a subset of 13 SLE patients, mediators within samples obtained preceding disease flare were compared with those within samples from the same individual obtained during a clinically stable period without flare.

RESULTS

Compared to SLE patients with clinically stable disease, SLE patients with impending flare had significant alterations (P ≤ 0.01) in the levels of 27 soluble mediators at baseline; specifically, the levels of proinflammatory mediators, including Th1-, Th2-, and Th17-type cytokines, were significantly higher several weeks before clinical flare. Baseline levels of regulatory cytokines, including interleukin-10 and transforming growth factor β, were higher in nonflare SLE patients, whereas baseline levels of soluble tumor necrosis factor receptor type I (TNFRI), TNFRII, Fas, FasL, and CD40L were significantly higher (P ≤ 0.002) in preflare SLE patients. The normalized and weighted combined soluble mediator score was significantly higher (P ≤ 0.0002) in preflare samples from SLE patients compared to samples from the same patients obtained during periods of stable disease.

CONCLUSION

The levels of proinflammatory adaptive cytokines and shed TNF receptors are elevated prior to disease flare, while the levels of regulatory mediators are elevated during periods of stable disease. Alterations in the balance between inflammatory and regulatory mediators may help identify patients at risk of disease flare and help decipher the pathogenic mechanisms of SLE.

Differential immunoglobulin class-mediated responses to components of the U1 small nuclear ribonucleoprotein particle in systemic lupus erythematosus and mixed connective tissue disease

OBJECTIVE

The objective of this paper is to determine whether patients with systemic lupus erythematosus (SLE) and mixed connective tissue disease (MCTD) possess differential IgM- and IgG-specific reactivity against peptides from the U1 small nuclear ribonucleoprotein particle (U1 snRNP).

METHODS

The IgM- and IgG-mediated responses against 15 peptides from subunits of the U1 snRNP were assessed by indirect enzyme linked immunosorbent assays (ELISAs) in sera from patients with SLE and MCTD and healthy individuals (n = 81, 41, and 31, respectively). Additionally, 42 laboratory tests and 40 clinical symptoms were evaluated to uncover potential differences. Binomial logistic regression analyses (BLR) were performed to construct models to support the independent nature of SLE and MCTD. Receiver operating characteristic (ROC) curves corroborated the classification power of the models.

RESULTS

We analyzed IgM and IgG anti-U1 snRNP titers to classify SLE and MCTD patients. IgG anti-U1 snRNP reactivity segregates SLE and MCTD from nondisease controls with an accuracy of 94.1% while IgM-specific anti-U1 snRNP responses distinguish SLE from MCTD patients with an accuracy of 71.3%. Comparison of the IgG and IgM anti-U1 snRNP approach with clinical tests used for diagnosing SLE and MCTD revealed that our method is the best classification tool of those analyzed (p ≤ 0.0001).

CONCLUSIONS

Our IgM anti-U1 snRNP system along with lab tests and symptoms provide additional molecular and clinical evidence to support the hypothesis that SLE and MCTD may be distinct syndromes.

Multiplexing of miniaturized planar antibody arrays for serum protein profiling--a biomarker discovery in SLE nephritis

In the quest to decipher disease-associated biomarkers, miniaturized and multiplexed antibody arrays may play a central role in generating protein expression profiles, or protein maps, of crude serum samples. In this conceptual study, we explored a novel, 4-times larger pen design, enabling us to, in a unique manner, simultaneously print 48 different reagents (antibodies) as individual 78.5 μm(2) (10 μm in diameter) sized spots at a density of 38,000 spots cm(-2) using dip-pen nanolithography technology. The antibody array set-up was interfaced with a high-resolution fluorescent-based scanner for sensitive sensing. The performance and applicability of this novel 48-plex recombinant antibody array platform design was demonstrated in a first clinical application targeting SLE nephritis, a severe chronic autoimmune connective tissue disorder, as the model disease. To this end, crude, directly biotinylated serum samples were targeted. The results showed that the miniaturized and multiplexed array platform displayed adequate performance, and that SLE-associated serum biomarker panels reflecting the disease process could be deciphered, outlining the use of miniaturized antibody arrays for disease proteomics and biomarker discovery.

Diagnosis and early detection of CNS-SLE in MRL/lpr mice using peptide microarrays

Background

An accurate method that can diagnose and predict lupus and its neuropsychiatric manifestations is essential since currently there are no reliable methods. Autoantibodies to a varied panel of antigens in the body are characteristic of lupus. In this study we investigated whether serum autoantibody binding patterns on random-sequence peptide microarrays (immunosignaturing) can be used for diagnosing and predicting the onset of lupus and its central nervous system (CNS) manifestations. We also tested the techniques for identifying potentially pathogenic autoantibodies in CNS-Lupus. We used the well-characterized MRL/lpr lupus animal model in two studies as a first step to develop and evaluate future studies in humans.

Results

In study one we identified possible diagnostic peptides for both lupus and altered behavior in the forced swim test. When comparing the results of study one to that of study two (carried out in a similar manner), we further identified potential peptides that may be diagnostic and predictive of both lupus and altered behavior in the forced swim test. We also characterized five potentially pathogenic brain-reactive autoantibodies, as well as suggested possible brain targets.

Conclusions

These results indicate that immunosignaturing could predict and diagnose lupus and its CNS manifestations. It can also be used to characterize pathogenic autoantibodies, which may help to better understand the underlying mechanisms of CNS-Lupus.

Detection of dynamic frequencies of Th17 cells and their associations with clinical parameters in patients with systemic lupus erythematosus receiving standard therapy

Recent evidence implicated an important role of Th17 cells in the pathogenesis of systemic lupus erythematosus (SLE). However, the association between dynamic changes of Th17 cell frequency and clinical parameters in SLE patients receiving clinical managements remains unknown. Here, we sought to evaluate their correlation in Chinese new-onset SLE patients with standard therapy. We found that the frequency of Th17 cells was higher in SLE patients than that in healthy controls and could be decreased by standard care. In consistent, the level of serum IL-6, IL-1β, IL-23, and Stat3 activity was elevated in SLE patients and down-regulated by disease treatment. Of note, the frequency of Th17 cells was correlated with SLEDAI and serum C3 in SLE patients. The changes of Th17 cell frequency were associated with those of SLEDAI and serum C3 in SLE patients between pretreatment and posttreatment. Further, the Th17 cell frequency was positively correlated with serum anti-dsDNA antibody in SLE patients. The changes of Th17 cell frequency were associated with those of serum anti-dsDNA antibody in SLE patients. Our findings showed that dynamic frequencies of Th17 cells were closely correlated with clinical parameters in SLE patients receiving standard treatment, which could facilitate the efficient management and development of novel therapeutics for SLE.

The lupus biomarker odyssey: one experience

The last decade has witnessed an explosion in efforts to discover and validate lupus biomarkers. The currently steep trajectory of this progress is unprecedented. However, advances in the lupus biomarker field remain fewer and slower than physicians, patients, and pharmaceutical companies have hoped for. This chapter will review the challenges confronted by physicians and scientists in pursuit of lupus biomarkers and will present our experience on this path and specific efforts to surmount some of the obstacles in this endeavor. A comprehensive review of the current landscape in lupus biomarker research has recently been published elsewhere (Ahearn et al. Transl Res 159:326-342, 2012; Liu et al. Ther Adv Musculoskelet Dis 5:210-233, 2013; Liu and Ahearn Best Pract Res Clin Rheumatol 23:507-523, 2009; Liu et al. Curr Opin Rheumatol 17:543-549, 2005).

Meta-analysis as a diagnostic tool for predicting disease onset and/or activity in systemic lupus erythematosus

Systemic lupus erythematous (SLE) is a relatively rare disorder with prevalence rates between 5 and 50 per 100,000 population. This means performing any epidemiological analysis in a specific research center is difficult, due to the low number of cases within any one location. There is a need for biomarkers and diagnostic aids to monitor SLE disease activity and severity prior, during, and after treatment. Many specialist lupus clinics worldwide have published trials following in detail small numbers of patients that have been monitored for a disease biomarker, e.g., an autoantibody against a self-molecule in prospective and retrospective studies. They have then attempted to correlate autoantibody levels against an autoantigen with disease activity, e.g., nephritis development. The results are often inconclusive with the conclusion "the autoantibody may be useful in monitoring disease activity." Meta-analysis is a statistical technique that can be used for combining the findings of multiple studies to add power to any tentative conclusion proposed by individual studies. Here, we describe a method for analyzing biomarkers of interest as predictors of disease activity, using anti-C1q autoantibodies as an example.

The Usefulness of Endothelial Cell Adhesion Molecules and Anti-C1q Antibody in Monitoring Systemic Lupus Erythematosus Disease Activity

Objectives. The study was conducted to determine the correlation of ICAM-1, VCAM-1, and anti-C1q antibody levels with SLE disease activity index (SLEDAI) and standard SLE disease activity immunological markers (anti-dsDNA and sera C3 and C4). Study Design. This was a cross-sectional study. Materials and Methods. Blood samples were obtained from 95 SLE patients (45 active SLE and 50 nonactive SLE) and 50 controls. The subjects were assessed using SLEDAI and score of more than five is determined as having active SLE. The sera were tested for serum ICAM-1, VCAM-1, and anti-C1q (ELISA), anti-dsDNA (CLIFT), serum C3, and serum C4 (immunonephelometry). Results. Anti-dsDNA and anti-C1q antibody showed good positive correlations with SLEDAI (r = 0.529, P < 0.001 and r = 0.559, P < 0.001, resp.). VCAM-1 and sera C3 and C4 showed fair correlation with SLEDAI (r = 0.294, P = 0.004; r = −0.312, P = 0.002; and r = −0.382, P < 0.001, resp.). ICAM-1 level showed no significant correlation with SLEDAI (P = 0.062). There were significant correlations of VCAM-1 and anti-C1q antibody with anti-dsDNA (r = 0.226, P = 0.006 and r = 0.511, P < 0.001, resp.). VCAM-1 showed poor inverse correlation with serum C3 (r = −0.183, P = 0.028) and fair inverse correlation with serum C4 (r = −0.251, P = 0.002). Anti-C1q antibody demonstrated fair inverse correlation with both sera C3 and C4 (r = −0.420, P ≤ 0.001 and r = −0.398, P < 0.001, resp.). However, ICAM-1 showed no significant correlation with anti-dsDNA and sera C3 and C4 (P = 0.259, P = 0.626 and P = 0.338, resp.). Conclusions. The serum levels of anti-C1q antibody in SLE patients showed the best correlation with the SLEDAI and standard immunological tests for SLE disease activity. These data support that anti-C1q antibody is a useful marker for monitoring SLE global disease activity. The potential of VCAM-1 needs further confirmation.

Recombinant antibody microarray for profiling the serum proteome of SLE

Systemic lupus erythematosus (SLE) is a severe autoimmune connective tissue disease. Our current knowledge about the serum proteome, or serum biomarker panels, reflecting disease and disease status is still very limited. Affinity proteomics, represented by recombinant antibody arrays, is a novel, multiplex technology for high-throughput protein expression profiling of crude serum proteomes in a highly specific, sensitive, and miniaturized manner. The antibodies are deposited one by one in an ordered pattern, an array, onto a solid support. Next, the sample is added, and any specifically bound proteins are detected and quantified. The binding pattern is then converted into a relative protein expression map, or protein map, deciphering the composition of the sample at the molecular level. The methodology provides unique opportunities for delineating serum biomarkers reflecting SLE, thus paving the way for improved diagnosis, classification, and prognosis.

Perivascular adipose tissue of the descending thoracic aorta is associated with systemic lupus erythematosus and vascular calcification in women

OBJECTIVE

Women with systemic lupus erythematosus (SLE) have an increased risk of cardiovascular disease (CVD). Traditional CVD and SLE-disease related risk factors do not fully account for this increased risk. Perivascular adipose tissue (PVAT) is a visceral adipose depot in close proximity to blood vessels possibly influencing CVD. We hypothesized that women with SLE have an increased volume of descending thoracic aortic PVAT (aPVAT) associated with increased vascular calcification.

METHODS

Using electron beam computed tomography, we quantified the aPVAT in clinically CVD-free SLE women (n = 135) and age-/race-matched healthy controls (HC, n = 152). Coronary artery calcification (CAC) and aortic calcification (AC) were quantified using Agatston scores and the aPVAT was quantified using standard Hounsfield Units (HU) for adipose tissue.

RESULTS

Women with SLE had greater median aPVAT (32.2 cm(3) vs HC aPVAT 28.6 cm(3), p = 0.0071) and greater median AC (26.0 vs HC AC 6.0, p = 0.0013) than the healthy control women. Total aPVAT (per 25 cm(3)) remained significantly associated with SLE after adjusting for CVD risk factors (Odds Ratio 1.74 [95% Confidence Interval: 1.04-2.9], p = 0.034), but was attenuated when adjusting for circulating inflammatory markers (p = 0.34). In a logistic regression analysis, SLE aPVAT (per 25 cm(3)) was associated with AC (6.78 [2.0-23], p = 0.0019), which remained significant after adjusting for circulating inflammatory markers (p = 0.0074), and CAC (2.66 [1.4-5.0], p = 0.0028).

CONCLUSIONS

Total aPVAT is greater in clinically CVD-free SLE women than in age-/race-matched controls and is associated with calcification in different vascular beds.

An integrated peptide-antigen microarray on plasmonic gold films for sensitive human antibody profiling

High-throughput screening for interactions of peptides with a variety of antibody targets could greatly facilitate proteomic analysis for epitope mapping, enzyme profiling, drug discovery and biomarker identification. Peptide microarrays are suited for such undertaking because of their high-throughput capability. However, existing peptide microarrays lack the sensitivity needed for detecting low abundance proteins or low affinity peptide-protein interactions. This work presents a new peptide microarray platform constructed on nanostructured plasmonic gold substrates capable of metal enhanced NIR fluorescence enhancement (NIR-FE) by hundreds of folds for screening peptide-antibody interactions with ultrahigh sensitivity. Further, an integrated histone peptide and whole antigen array is developed on the same plasmonic gold chip for profiling human antibodies in the sera of systemic lupus erythematosus (SLE) patients, revealing that collectively a panel of biomarkers against unmodified and post-translationally modified histone peptides and several whole antigens allow more accurate differentiation of SLE patients from healthy individuals than profiling biomarkers against peptides or whole antigens alone.

Use of biomarkers in the management of children with lupus

Childhood systemic lupus erythematosus (SLE) is known to have a worse prognosis than adult-onset disease, and monitoring and treatment of the disease are still a challenge. Thus, there is an urgent need for highly reliable, non-invasive biomarkers for early detection of relapses, to avoid long-term complications and to optimize the management of children with LN. Recent studies of pediatric patients have yielded novel specific biomarkers for SLE diagnosis which can be used for monitoring disease activity and response to treatment. The most promising biomarkers in juvenile-onset SLE include cell-bound complement activation products, some genomic profiles, and urinary proteins such as neutrophil gelatinase-associated lipocalin, monocyte chemoattractant protein-1, and alpha-1-acid glycoprotein. None of these might be suitable for use as a single SLE-biomarker. More likely a combination of novel biomarkers with traditionally used data, including autoantibodies and complement, might help to enhance sensitivity and specificity for early diagnosis, disease monitoring, and prediction of relapses.cp.

Membrane-bound complement regulatory proteins as biomarkers and potential therapeutic targets for SLE

For the last two decades, there had been remarkable advancement in understanding the role of complement regulatory proteins in autoimmune disorders and importance of complement inhibitors as therapeutics. Systemic lupus erythematosus is a prototype of systemic autoimmune disorders. The disease, though rare, is potentially fatal and afflicts women at their reproductive age. It is a complex disease with multiorgan involvement, and each patient presents with a different set of symptoms. The diagnosis is often difficult and is based on the diagnostic criteria set by the American Rheumatology Association. Presence of antinuclear antibodies and more specifically antidouble-stranded DNA indicates SLE. Since the disease is multifactorial and its phenotypes are highly heterogeneous, there is a need to identify multiple noninvasive biomarkers for SLE. Lack of validated biomarkers for SLE disease activity or response to treatment is a barrier to the efficient management of the disease, drug discovery, as well as development of new therapeutics. Recent studies with gene knockout mice have suggested that membrane-bound complement regulatory proteins (CRPs) may critically determine the sensitivity of host tissues to complement injury in autoimmune and inflammatory disorders. Case-controlled and followup studies carried out in our laboratory suggest an intimate relation between the level of DAF, MCP, CR1, and CD59 transcripts and the disease activity in SLE. Based on comparative evaluation of our data on these four membrane-bound complement regulatory proteins, we envisaged CR1 and MCP transcripts as putative noninvasive disease activity markers and the respective proteins as therapeutic targets for SLE. Following is a brief appraisal on membrane-bound complement regulatory proteins DAF, MCP, CR1, and CD59 as biomarkers and therapeutic targets for SLE.

Unmet medical needs in systemic lupus erythematosus

Systemic lupus erythematosus (SLE) is an autoimmune disease of diverse manifestations, with onset usually in young women in the third to fourth decade of life. The chronic nature of this relapsing remitting disease leads to organ damage accrual over time. Mortality and morbidity are increased in patients with SLE compared with the general population. Therapeutic advances over the last few decades have led to significant improvements in patient outcomes. Five-year survival has improved to over 90% from a low of 50% in the 1950s. However, multiple aspects of the management of SLE patients are still far from optimal. Early diagnosis remains a challenge; diagnostic delays leading to delay in definitive treatment are common. Monitoring treatment remains problematic due to the paucity of sensitive biomarkers. Current treatment regimens rely heavily on corticosteroids, even though corticosteroids are well known to cause organ damage. Treatment of refractory disease manifestations such as nephritis, recalcitrant cutaneous lesions and neurological involvement require new approaches with greater efficacy. Cognitive dysfunction is common in SLE patients, but early recognition and adequate treatment are yet to be established. Premature accelerated atherosclerosis remains a leading cause of morbidity and mortality. Fatigue is one of the most disabling symptoms, and contributes to the poor quality of life in patients with SLE. Ongoing research in SLE faces many challenges, including enrollment of homogeneous patient populations, use of reliable outcome measures and a standard control arm. The current review will highlight some of the outstanding unmet challenges in the management of this complex disease.

Immune complex signatures of patients with active and inactive SLE revealed by multiplex protein binding analysis on antigen microarrays

Systemic lupus erythematosus is characterized by dysfunctional clearance of apoptotic debris and the development of pathogenic autoantibodies. While the complement system is also involved in the disease no attempt has been made to generate a comprehensive view of immune complex formation from various autoantigens. We increased the complexity of autoantibody profiles by measuring the binding of two complement proteins, C3 and C4, in addition to two antibody classes, IgG and IgM, to a collection of autoantigens. These complement components covalently bind to those microarray features where antibodies and other serum components induce complement activation. Using this technology, we compared functional serum antibody profiles of control subjects (n = 31) and patients with lupus erythematosus (n = 61) in the active (n = 22) and inactive (n = 39) phase of the disease. Multivariate analysis was applied to identify contributions of binding data on 25 antigens to the discrimination of the study groups. Receiver operating characteristic analysis was used to portray the discriminative property of each measured parameter for each antigen in pairwise group comparisons. Complement C3 and C4 deposition increased on autoantibody targets in spite of the decreased serum complement concentrations, and decreased on other autoantigens, demonstrating the imbalance of complement function in patients with lupus erythematosus. Our observations confirmed previously known markers of disease and showed that C3 and C4 deposition data were at least as powerful as Ig binding data in separating the study groups.