New drug targets to prevent death due to stroke: A review based on results of protein-protein interaction network, enrichment, and annotation analyses

This study used established biomarkers of death from ischemic stroke (IS) versus stroke survival to perform network, enrichment, and annotation analyses. Protein-protein interaction (PPI) network analysis revealed that the backbone of the highly connective network of IS death consisted of IL6, ALB, TNF, SERPINE1, VWF, VCAM1, TGFB1, and SELE. Cluster analysis revealed immune and hemostasis subnetworks, which were strongly interconnected through the major switches ALB and VWF. Enrichment analysis revealed that the PPI immune subnetwork of death due to IS was highly associated with TLR2/4, TNF, JAK-STAT, NOD, IL10, IL13, IL4, and TGF-β1/SMAD pathways. The top biological and molecular functions and pathways enriched in the hemostasis network of death due to IS were platelet degranulation and activation, the intrinsic pathway of fibrin clot formation, the urokinase-type plasminogen activator pathway, post-translational protein phosphorylation, integrin cell-surface interactions, and the proteoglycan-integrin extracellular matrix complex (ECM). Regulation Explorer analysis of transcriptional factors shows: (a) that NFKB1, RELA and SP1 were the major regulating actors of the PPI network; and (b) hsa-mir-26-5p and hsa-16-5p were the major regulating microRNA actors. In conclusion, prevention of death due to IS should consider that current IS treatments may be improved by targeting VWF, the proteoglycan-integrin-ECM complex, TGF-β1/SMAD, NF-κB/RELA and SP1

Proinflammatory and anti-inflammatory cytokine profiles in psoriasis: use as laboratory biomarkers and disease predictors

Proinflammatory and anti-inflammatory cytokine profiles in psoriasis: use as laboratory biomarkers and disease predictor

Thiol Groups as a Biomarker for the Diagnosis and Prognosis of Prostate Cancer

Oxidative stress (OS) is associated with the onset of prostate cancer (PCa). The aims of this study are to examine whether OS biomarkers may be employed as external validating criteria for the diagnosis PCa. This case-control study recruited 204 subjects, 73 patients with PCa, 67 patients with benign prostate hyperplasia (BPH), and 64 healthy controls (HC) and assayed plasma prostate-specific antigen (PSA), protein thiol (−SH) groups, lipid hydroperoxides, carbonyl proteins (PCB), advanced oxidation protein products (AOPP), and total radical-trapping antioxidant parameter (TRAP). -SH groups were significantly and inversely associated with PSA levels. PCa was characterized by lowered -SH groups and red blood cell TRAP levels, and higher PSA, AOPP and PCB levels as compared with BPH and HC. Support vector machine with 10-fold cross-validation showed that PSA values together with -SH groups, PCB and AOPP yielded a cross-validation accuracy of 96.34% for the differentiation of PCa from BPH and HC. The area under the ROC curve using PSA and -SH differentiating PCa from BPH and controls was 0.945. Moreover, lowered -SH, but not PSA, are associated with PCa metastasis and progression. Inflammatory biomarkers were not associated with PCa or BPH. PCa, its progression and metastatic PCa are characterized by lowered antioxidant defenses, especially lowered thiol groups, and increased oxidative stress toxicity, suggesting that these processes play a key role in the pathophysiology of PCa. An algorithm based on -SH and PSA values may be used to differentiate patients with PCa from those with BPH and controls

Immune-inflammatory, oxidative stress and biochemical biomarkers predict short-term acute ischemic stroke death

Immune-inflammatory, oxidative stress and biochemical biomarkers predict short-term acute ischemic stroke deat

Cytokines in systemic lupus erythematosus: Far beyond Th1/Th2 dualism lupus: Cytokine profiles

The aims of this study were to delineate cytokine profiles of systemic lupus erythematosus (SLE), construct prediction models for diagnosis and disease activity using those profiles, and to examine the associations between TNFB Ncol polymorphism, body mass index (BMI) and Vitamin D levels with cytokine levels. Two hundred SLE patients and 196 healthy controls participated in this case-control study. Plasma cytokines levels of tumor necrosis factor (TNF)-α, interferon (IFN)-γ 3, interleukin (IL)-1β, IL- 4, IL-6, IL-10, IL-12 and IL-17 were measured and cytokines profiles were computed. IL-6, IL-12, IL-17, IFN-γ 3 and IL-10 levels were significantly higher in SLE, while IL-4 was lower in SLE. The Th1/Th2 and Th1+Th17/Th2 profiles were significantly higher in SLE than in healthy controls, whereas there were no significant differences in the proinflammatory cytokine profile (TNFα+IL-6+IL-1β). In total, 90.4% of all subjects were correctly classified using Th1+Th17 profile and IL-10 (positively associated) and IL-4 (negatively associated) as predictor variables (sensitivity=66.7% and specificity=96.9%). In all, 20.9% of the variance in the SLE Disease Activity Index was predicted by the Th1+Th17/Th2 ratio, IL-10 and BMI (all positively) and proinflammatory profile (inversely associated). B1/B1 genotype is accompanied by increased IL-17 and Th17/Th2 ratio, while B1/B2 genotype is accompanied by higher IL-4 and IFNγ 3 values. 25-OH Vitamin D was inversely associated with IFN-γ 3 levels. SLE is accompanied by Th1, Th17 and Treg profile and lowered IL-4 production. Lowered Vitamin D levels and B1/B1 genotype, but not BMI, contribute to changes in cytokines profiles. Future treatments should target Th1, Th2 and Th17 profiles rather than inflammatory cytokines

Cell adhesion molecules and plasminogen activator inhibitor type-1 (PAI-1) in patients with rheumatoid arthritis: influence of metabolic syndrome

Cell adhesion molecules and plasminogen activator inhibitor type-1 (PAI-1) in patients with rheumatoid arthritis: influence of metabolic syndrom

Disability in multiple sclerosis is associated with age and inflammatory, metabolic and oxidative/nitrosative stress biomarkers: results of multivariate and machine learning procedures

Disability in multiple sclerosis is associated with age and inflammatory, metabolic and oxidative/nitrosative stress biomarkers: results of multivariate and machine learning procedure

Prolactin is Not Associated with Disability and Clinical Forms in Patients with Multiple Sclerosis

Prolactin is Not Associated with Disability and Clinical Forms in Patients with Multiple Sclerosi

Increased lipid and protein oxidation and lowered anti-oxidant defenses in systemic lupus erythematosus are associated with severity of illness, autoimmunity, increased adhesion molecules, and Th1 and Th17 immune shift

This study investigated nitro-oxidative stress in patients with systemic lupus erythematosus (SLE) in association with disease activity, immune-inflammatory biomarkers, and adhesion molecules. Two-hundred-four patients with SLE and 256 healthy volunteers were enrolled in this case-control study, which measured nitro-oxidative stress biomarkers, including lipid peroxides (LOOH), advanced oxidation protein products (AOPPs), nitric oxide metabolites (NOx), sulfhydryl (−SH) groups, products of deoxyribonucleic acid (DNA)/ribonucleic acid (RNA) oxidative degradation, and total radical-trapping anti-oxidant parameter (TRAP). Also measured were anti-nuclear antibodies (ANAs), antibodies against double-stranded DNA (dsDNA), plasma levels of diverse cytokines, C-reactive protein, and adhesion molecules. LOOH (p < 0.001) and AOPP (p < 0.001) were significantly higher, while TRAP was significantly lower (p < 0.001) in SLE patients than in controls. AOPP and LOOH were significantly and positively associated with SLE disease activity index (SLEDAI) scores, anti-nuclear antibodies, and antibodies against double-stranded DNA (anti-dsDNA) levels, while TRAP was significantly and inversely correlated with SLEDAI, ANA, and dsDNA antibody levels. There were significant positive associations between AOPP and LOOH and immune-inflammatory markers, indicating T helper (Th)-17 and Th1 bias and Th1 + Th17/Th2 ratio (p = 0.002 and p = 0.001, respectively). AOPP and LOOH (positively) and TRAP (inversely) were associated with adhesion molecule expression. A model predicting SLE was computed showing that, using LOOH, AOPP, NOx, adhesion molecules, and body mass index, 94.2% of the patients were correctly classified with a specificity of 91.5%. Increased nitro-oxidative stress takes part in the (auto)immune pathophysiology of SLE and modulates severity of illness and adhesion molecule expression

Increased lipid and protein oxidation and lowered anti-oxidant defenses in systemic lupus erythematosus are associated with severity of illness, autoimmunity, increased adhesion molecules, and Th1 and Th17 immune shift

This study investigated nitro-oxidative stress in patients with systemic lupus erythematosus (SLE) in association with disease activity, immune-inflammatory biomarkers, and adhesion molecules. Two-hundred-four patients with SLE and 256 healthy volunteers were enrolled in this case-control study, which measured nitro-oxidative stress biomarkers, including lipid peroxides (LOOH), advanced oxidation protein products (AOPPs), nitric oxide metabolites (NOx), sulfhydryl (−SH) groups, products of deoxyribonucleic acid (DNA)/ribonucleic acid (RNA) oxidative degradation, and total radical-trapping anti-oxidant parameter (TRAP). Also measured were anti-nuclear antibodies (ANAs), antibodies against double-stranded DNA (dsDNA), plasma levels of diverse cytokines, C-reactive protein, and adhesion molecules. LOOH (p < 0.001) and AOPP (p < 0.001) were significantly higher, while TRAP was significantly lower (p < 0.001) in SLE patients than in controls. AOPP and LOOH were significantly and positively associated with SLE disease activity index (SLEDAI) scores, anti-nuclear antibodies, and antibodies against double-stranded DNA (anti-dsDNA) levels, while TRAP was significantly and inversely correlated with SLEDAI, ANA, and dsDNA antibody levels. There were significant positive associations between AOPP and LOOH and immune-inflammatory markers, indicating T helper (Th)-17 and Th1 bias and Th1 + Th17/Th2 ratio (p = 0.002 and p = 0.001, respectively). AOPP and LOOH (positively) and TRAP (inversely) were associated with adhesion molecule expression. A model predicting SLE was computed showing that, using LOOH, AOPP, NOx, adhesion molecules, and body mass index, 94.2% of the patients were correctly classified with a specificity of 91.5%. Increased nitro-oxidative stress takes part in the (auto)immune pathophysiology of SLE and modulates severity of illness and adhesion molecule expression