The effects of the MTHFR 677C>T (rs1801133) genetic variant on susceptibility and disability worsening in multiple sclerosis patients are mediated by homocysteine.

BACKGROUND: Interactions between genetic and environmental variables contribute to the autoimmune inflammatory process in multiple sclerosis (MS). Elevated homocysteine levels, and vitamin D, vitamin B12, and folate deficiencies are some of the environmental factors associated with the pathogenesis of MS. Considering that the relationship between MTHFR 677C>T (rs1801133) genetic variant, homocysteine, and folate in patients with MS remains unclear and that their role were not extensively explored in the clinical course of the disease, we investigated whether this variant and plasma homocysteine and folate levels are associated with MS susceptibility, disability, disability progression, and inflammatory biomarkers. METHODS: The case-control study included 163 patients with MS categorized using the Expanded Disability Status Scale (EDSS) as mild (EDSS<3) and moderate/high (EDSS≥3) disability, and 226 healthy controls (HC). Disability progression was evaluated using Multiple Sclerosis Severity Score (MSSS) and the MTHFR 677C>T variant was genotyped using real time polymerase chain reaction. The plasma levels of some inflammatory biomarkers were determined. Two new composed scores were proposed: the first, namely as inflammatory activity index (IAI), was entered as a latent vector extracted from the macrophage M1 + T helper (Th)1 + Th17 + Th2 + T regulatory (Treg) cytokines, + tumor necrosis factor (TNF)-α+ soluble TNF receptor (sTNFR)-1 + sTNFR2. The second score, namely MS-severity index was entered as a latent vector extracted from the EDSS + MSSS scores + MS diagnosis. RESULTS: Patients with MS showed higher homocysteine and folate than controls (p < 0.001); homocysteine, and the M1, Th1, Th17, and Th2 Treg cytokine values were different between the three study groups and increased from HC to MS patients with mild disability and to MS patients with moderate/high disability (p < 0.0001). The levels of TNF-α and their soluble receptors sTNFR1 and sTNFR2 were higher in MS patients with EDSS≥3 than in the two other groups (EDSS<3 and HC) (p < 0.001). There was no association between the MTHFR 677 C > T genotypes and MS susceptibility, disability and disability progression (p > 0.05). Moreover, 21.8 % of the disability variance was explained by age, IAI and C-reactive protein (CRP) (all positively associated); 10.9 % of the disability progression variance was predicted by IAI and CRP (both positively) and 25-hydroxyvitamin D (negatively), whereas 54.4 % of the severity index (MS-EDSS-MSSS) was explained by the regression on age, IAI, homocysteine, folate, and CRP (all positively), and adiponectin, body mass index, and 25-hydroxyvitamin D (all negatively), female sex, and the MTHFR 677 TT genotype. In patients and controls, 16.6 % of the variance in the homocysteine was explained by the MTHFR 677 TT genotype and age (both positively), folate (negatively) and male sex. CONCLUSION: The MTHFR 677C>T variant has an indirect effect on the increase in disability in patients with MS, which also depends on factors such as age, sex, ad folate status.

Acute kidney injury is associated with soluble vascular cell adhesion molecule 1 levels and short-term mortality in patients with ischemic stroke.

BACKGROUND: The mechanisms that modulate the onset of acute kidney inlury (AKI) after ischemic stroke (IS) and valuable biomarkers to predict the occurrence and prognosis of AKI among patients with IS are missing. OBJECTIVE: To evaluate the frequency of AKI and the prognostic validity of clinical and laboratory biomarkers in predicting AKI and short-term mortality after the IS. METHODS: Ninety-five patients with IS were enrolled. Baseline IS severity was assessed using the National Institutes of Health Stroke Scale (NIHSS) and disability was determined after three-month follow-up using the modified Rankin Scale. Patients with IS were also categorized as survivors and non-survivors after the follow-up. Baseline data and laboratory biomarkers were obtained up to 24 h of the admission. RESULTS: Fifteen (15.7 %) patients with IS presented AKI. The proportion of patients with vitamin D deficiency and the mortality were higher among those with AKI than those without AKI (p=0.011 and p-0.009, respectively). Patients with AKI showed higher disability and higher increased soluble vascular cellular adhesion molecule-1 (sVCAM-1) than those without AKI (p=0.029 and p=0.023, respectively). Logistic regression analysis showed that only sVCAM-1 was associated with the occurrence of AKI after IS [odds ratio (OR): 2.715, 95 % confidence intereval (CI): 1.12-6.67, p=0.027]. When both AKI and NIHSS were evaluated as explanatory variables, this panel showed an OR of 5.782 (95 % CI: 1.09-30.43, p<0.001) and correctly classified 83.6 % of cases. CONCLUSION: In conclusion, sVCAM-1 levels showed a potential useful for prediction of AKI after IS.

First Evaluation of the Brazilian Advanced Life Support Training (TECA A)

Abstract Background Cardiac arrest (CA) is a common condition associated with high mortality. The Brazilian advanced life support training TECA A (Treinamento em Emergências Cardiovasculares Avançado — Advanced Cardiovascular Emergency Training) was created to train healthcare professionals in the management of CA. However, there are no studies evaluating the effectiveness of TECA A. Objective To assess the impact of TECA A on the management of CA using a simulated CA situation. Methods Fifty-six students underwent a simulated case of CA in a manikin. The students' performance in the management of CA was assessed for the time to first chest compression and defibrillation and for a global assessment score using a structured tool. These items were assessed and compared before and after the TECA A. Exclusion criteria were previous participation in CA trainings and absence from class. Categorical variables were compared using the McNemar test and quantitative variables using the Wilcoxon test. All tests were two-tailed, and statistical significance was set at p < 0.05. Results Compared with before TECA A, median global assessment scores were higher after TECA A (pre-training: 4.0 points [2.0-5.0] vs. 10 points [9.0-10.0]; p<0.001), the time to start chest compressions was shorter (pre-training: 25 seconds [15-34] vs. 19 seconds [16.2-23.0]; p=0.002) and so was the time to defibrillation (pre-training: 82.5 seconds [65.0-108.0] vs. 48 seconds [39.0-53.0]; p<0.001). Conclusions The TECA A promoted a higher adherence to cardiopulmonary resuscitation (CPR) guidelines and a reduction in the time elapsed from CA to first chest compression and defibrillation.

Baseline severity and soluble vascular cell adhesion molecule 1 (sVCAM-1) as biomarker predictors of short-term mortality in acute ischemic stroke.

The aim was to investigate the association between plasma levels of cellular adhesion molecules (CAMs) and risk factors, subtypes, severity and short-term mortality of acute ischemic stroke (IS), and to identify a panel of biomarkers to predict short-term mortality after IS. The prospective study evaluated 132 IS patients within 24 h of their hospital admission. The baseline IS severity was assessed using the National Institutes Health Stroke Scale (NIHSS) and categorized as mild (NIHSS < 5), moderate (NIHSS 5-14) and severe (NIHSS ≥ 15). After three-month follow-up, the disability was assessed using the modified Rankin Scale (mRS); moreover, the patients were classified as survivors and non-survivors. Baseline inflammatory and anti-inflammatory cytokines and soluble CAMs were evaluated. Twenty-nine (21.9%) IS patients were non-survivors and showed higher NIHSS and soluble vascular cellular adhesion molecule 1 (sVCAM-1) than the survivors. The sVCAM-1 levels positively correlated with age, homocysteine, severity, and disability. The model #3 combining sVCAM-1 and NIHSS showed better results to predict short-term mortality with an area under the curve receiving operating characteristics (AUC/ROC) of 0.8841 [95% confidence interval (CI): 0.795-0.941] than the models with sVCAM-1 and NIHSS alone, with positive predictive value of 68.0%, negative predictive value of 91.3%, and accuracy of 86.5%. In conclusion, the combined model with baseline severity of IS and sVCAM-1 levels can early predict the prognosis of IS patients who may benefit with therapeutic measures of personalized therapy that taken into account these biomarkers. Moreover, this result suggests that VCAM-1 might be a potential target for the therapeutic strategies in IS.

Relationship between anticholinergic load and self-perceived health in a population aged 44 years or older / Relação entre carga anticolinérgica e autopercepção de saúde em população com mais de 44 anos

OBJECTIVE: To investigate the relationship between anticholinergic load (ACL) and self-perceived general health in adults in a medium-sized municipality in southern Brazil. METHODS: This cross-sectional study was based on 2015 data from a medium-sized municipality in southern Brazil. All respondents aged 44 years or older who reported using drugs in the 2 weeks before the interview were included (n = 662). The Anticholinergic Drug Scale was used to measure the ACL. Self-perceived health was categorized as positive self-perception (PSP) or negative self-perception (NSP). Crude and adjusted Poisson regression analyses were conducted to investigate the association between ACL and self-perceived health. RESULTS: NSP was found in 50.91% of 662 respondents. Significant ACL, older age, lower economic status, lower education, polypharmacy, and depression correlated with a higher frequency of NSP. Individuals with significant ACL had a prevalence of NSP of 1.27 (95% confidence interval: 1.02 ­ 1.58), and each additional ACL level represented a 6.10% higher chance of worse self-perceived health, regardless of confounding factors. CONCLUSIONS: An association was found between significant ACL and NSP, with an effect dependent on ACL level

OBJETIVO: Investigar a relação entre carga anticolinérgica (CAC) e autopercepção de saúde em adultos de um município de médio porte do sul do Brasil. METODOLOGIA: Trata-se de um estudo transversal com dados de 2015, realizado em um município de médio porte do sul do Brasil. Todos os entrevistados com 44 anos ou mais que relataram uso de drogas nas duas semanas anteriores à entrevista foram incluídos (n = 662). A Anticholinergic Drug Scale (ADS) foi utilizada para medir a CAC. A autopercepção da saúde foi categorizada em autopercepção positiva (APP) ou autopercepção negativa (APN). Análises de regressão de Poisson bruta e ajustada foram realizadas para investigar a associação entre CAC e autopercepção de saúde. RESULTADOS: Entre os 662 participantes, a CAC foi encontrada em 50,91% dos respondentes. CAC significativa, idade avançada, situação econômica mais baixa, menor escolaridade, polifarmácia e depressão foram correlacionados com maior frequência de APN. Indivíduos com CAC significativo apresentaram prevalência de APN de 1,27 (intervalo de confiança de 95%: 1,02 ­ 1,58), e cada nível adicional de CAC representou uma chance 6,10% maior de pior autopercepção de saúde, independentemente de fatores de confusão. CONCLUSÕES: Encontrou-se associação entre ACL significativo e APN, com efeito dependente do valor do CAC

[The use of anticholinergic drugs and associated factors in middle-aged adults and the elderly]. / O uso de fármacos anticolinérgicos e fatores associados em adultos de meia-idade e idosos.

The objective of this article was to describe the use of anticholinergic drugs and possible factors associated with their use, in middle-aged adults and in the elderly. This is a cross-sectional study, based on data from a population-based study called VIGICARDIO. All respondents aged 44 or older interviewed in 2015 were included. Anticholinergic Drug Scale (ADS) was used to determine anticholinergic burden (ACB), categorized as significant (≥3) and non-significant (< 3). Poisson regression was conducted with crude and adjusted analysis to investigate the factors associated with ACB. There was a prevalence of 20.7% of significant ACB among respondents, higher among middle-aged adults (24.1%). After adjusted analysis, significant ACB (≥ 3) remained in the non-elderly age group with polypharmacy and sporadic use of two or more drugs. In the elderly, sporadic use of two or more medications and hospitalization in the last year continued to be associated with significant ACB. The results indicate a higher prevalence of ACB among middle-aged adults, polymedicated and in sporadic use of medications, which suggests that the investigation of the use of anticholinergicsin this age group requires greater attention.

O objetivo deste artigo foi descrever o uso de medicamentos anticolinérgicos e possíveis fatores associados ao seu uso em adultos de meia idade e idosos. Trata-se de um estudo transversal em que foram incluídos todos os respondentes de 44 anos ou mais entrevistados em 2015. Foi utilizada a Anticholinergic Drug Scale (ADS) para determinação da carga anticolinérgica (CAC), categorizada em elevada (≥ 3) e não-elevada (< 3). Conduziu-se regressão de Poisson com análise bruta e ajustada para investigar os fatores associados à CAC, com cálculo da razão de prevalência (RP) e intervalo de confiança 95% (IC95%). Constatou-se prevalência de 20,7% de CAC elevada entre os respondentes, maior entre adultos de meia idade (24,1%). Após análise ajustada, mantiveram-se associadas à CAC elevada na faixa etária não idosa a polifarmácia e uso esporádico de dois ou mais medicamentos. Nos idosos, continuaram associados à CAC elevada o uso esporádico de dois ou mais medicamentos e internação no último ano. Os resultados indicam maior prevalência de CAC entre adultos de meia-idade, polimedicados e em uso esporádico de medicamentos, o que sugere que a investigação do uso de anticolinérgicos nessa faixa etária demanda maior atenção.

O uso de fármacos anticolinérgicos e fatores associados em adultos de meia-idade e idosos / The use of anticholinergic drugs and associated factors in middle-aged adults and the elderly

Resumo O objetivo deste artigo foi descrever o uso de medicamentos anticolinérgicos e possíveis fatores associados ao seu uso em adultos de meia idade e idosos. Trata-se de um estudo transversal em que foram incluídos todos os respondentes de 44 anos ou mais entrevistados em 2015. Foi utilizada a Anticholinergic Drug Scale (ADS) para determinação da carga anticolinérgica (CAC), categorizada em elevada (≥ 3) e não-elevada (< 3). Conduziu-se regressão de Poisson com análise bruta e ajustada para investigar os fatores associados à CAC, com cálculo da razão de prevalência (RP) e intervalo de confiança 95% (IC95%). Constatou-se prevalência de 20,7% de CAC elevada entre os respondentes, maior entre adultos de meia idade (24,1%). Após análise ajustada, mantiveram-se associadas à CAC elevada na faixa etária não idosa a polifarmácia e uso esporádico de dois ou mais medicamentos. Nos idosos, continuaram associados à CAC elevada o uso esporádico de dois ou mais medicamentos e internação no último ano. Os resultados indicam maior prevalência de CAC entre adultos de meia-idade, polimedicados e em uso esporádico de medicamentos, o que sugere que a investigação do uso de anticolinérgicos nessa faixa etária demanda maior atenção.

Abstract The objective of this article was to describe the use of anticholinergic drugs and possible factors associated with their use, in middle-aged adults and in the elderly. This is a cross-sectional study, based on data from a population-based study called VIGICARDIO. All respondents aged 44 or older interviewed in 2015 were included. Anticholinergic Drug Scale (ADS) was used to determine anticholinergic burden (ACB), categorized as significant (≥3) and non-significant (< 3). Poisson regression was conducted with crude and adjusted analysis to investigate the factors associated with ACB. There was a prevalence of 20.7% of significant ACB among respondents, higher among middle-aged adults (24.1%). After adjusted analysis, significant ACB (≥ 3) remained in the non-elderly age group with polypharmacy and sporadic use of two or more drugs. In the elderly, sporadic use of two or more medications and hospitalization in the last year continued to be associated with significant ACB. The results indicate a higher prevalence of ACB among middle-aged adults, polymedicated and in sporadic use of medications, which suggests that the investigation of the use of anticholinergicsin this age group requires greater attention.

Immune-inflammatory, coagulation, adhesion, and imaging biomarkers combined in machine learning models improve the prediction of death 1 year after ischemic stroke.

Some clinical, imaging, and laboratory biomarkers have been identified as predictors of prognosis of acute ischemic stroke (IS). The aim of this study was to evaluate the prognostic validity of a combination of clinical, imaging, and laboratory biomarkers in predicting 1-year mortality of IS. We evaluated 103 patients with IS within 24 h of their hospital admission and assessed demographic data, IS severity using the National Institutes of Health Stroke Scale (NIHSS), carotid intima-media thickness (cIMT), and degree of stenosis, as well as laboratory variables including immune-inflammatory, coagulation, and endothelial dysfunction biomarkers. The IS patients were categorized as survivors and non-survivors 1 year after admission. Non-survivors showed higher NIHSS and cIMT values, lower antithrombin, Protein C, platelet counts, and albumin, and higher Factor VIII, von Willebrand Factor (vWF), white blood cells, tumor necrosis factor (TNF)-α, interleukin (IL)-10, high-sensitivity C-reactive protein (hsCRP), and vascular cellular adhesion molecule 1 (VCAM-1) than survivors. Neural network models separated non-survivors from survivors using NIHSS, cIMT, age, IL-6, TNF-α, hsCRP, Protein C, Protein S, vWF, and platelet endothelial cell adhesion molecule 1 (PECAM-1) with an area under the receiving operating characteristics curve (AUC/ROC) of 0.975, cross-validated accuracy of 93.3%, sensitivity of 100% and specificity of 85.7%. In conclusion, imaging, immune-inflammatory, and coagulation biomarkers add predictive information to the NIHSS clinical score and these biomarkers in combination may act as predictors of 1-year mortality after IS. An early prediction of IS outcome is important for personalized therapeutic strategies that may improve the outcome of IS.

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-ß1/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-ß1/SMAD, NF-κB/RELA and SP1.

Carotid intima media thickness measurements coupled with stroke severity strongly predict short-term outcome in patients with acute ischemic stroke: a machine learning study.

Acute ischemic stroke (IS) is one of the leading causes of morbidity, functional disability and mortality worldwide. The objective was to evaluate IS risk factors and imaging variables as predictors of short-term disability and mortality in IS. Consecutive 106 IS patients were enrolled. We examined the accuracy of IS severity using the National Institutes of Health Stroke Scale (NIHSS), carotid intima-media thickness (cIMT) and carotid stenosis (both assessed using ultrasonography with doppler) predicting IS outcome assessed with the modified Rankin scale (mRS) three months after hospital admission. Poor prognosis (mRS ≥ 3) at three months was predicted by carotid stenosis (≥ 50%), type 2 diabetes mellitus and NIHSS with an accuracy of 85.2% (sensitivity: 90.2%; specificity: 81.8%). The mRS score at three months was strongly predicted by NIHSS (ß = 0.709, p < 0.001). Short-term mortality was strongly predicted using a neural network model with cIMT (≥ 1.0 mm versus < 1.0 mm), NIHSS and age, yielding an area under the receiving operator characteristic curve of 0.977 and an accuracy of 94.7% (sensitivity: 100.0%; specificity: 90.9%). High NIHSS (≥ 15) and cIMT (≥ 1.0 mm) increased the probability of dying with hazard ratios of 7.62 and 3.23, respectively. Baseline NIHSS was significantly predicted by the combined effects of age, large artery atherosclerosis stroke, sex, cIMT, body mass index, and smoking. In conclusion, high values of cIMT and NIHSS at admission strongly predict short-term functional impairment as well as mortality three months after IS, underscoring the importance of those measurements to predict clinical IS outcome.

Association of Lower Adiponectin Plasma Levels, Increased Age and Smoking with Subclinical Atherosclerosis in Patients with HIV-1 Infection.

BACKGROUND: The association between subclinical atherosclerosis and traditional cardiovascular disease (CVD) risk factors, inflammatory and metabolic biomarkers has been demonstrated around the world and specifically Brazilian human immunodeficiency virus type 1 (HIV-1)- infected individuals. However, the association between subclinical atherosclerosis and these aforementioned factors combined with anti-inflammatory biomarkers has not been examined in these populations. OBJECTIVES: To evaluate the association of the carotid intima-media thickness (cIMT) with CVD risk factors, inflammatory, metabolic and HIV-1 infection markers combined with adiponectin and interleukin (IL)-10 as anti-inflammatory variables. METHODS: In this case-control study, 49 HIV-1-infected patients on combined antiretroviral therapy (cART) and 85 controls were compared for traditional CVD risk factors, inflammatory, metabolic, and anti-inflammatory variables. Further, we compared HIV-1-infected patients according to their cIMT (as continuous and categorized <0.9 or ≥0.9 mm variable) visualized by carotid ultrasonography doppler (USGD). RESULTS: Twenty-four (48.9%) HIV-1-infected patients showed cIMT ≥0.9 mm. The patients had higher levels of C reactive protein on high sensitivity assay (hsCRP), tumor necrosis factor α, IL-6, IL-10, triglycerides, and insulin, and lower levels of adiponectin, total cholesterol and low-density lipoprotein cholesterol than controls (all p<0.05). Low levels of adiponectin were negatively associated with cIMT ≥0.9 mm (p=0.019), and explained 18.7% of the cIMT variance. Age (p=0.033) and current smoking (p=0.028) were positively associated with cIMT values, while adiponectin levels (p=0.008) were negatively associated with cIMT values; together, these three variables explained 27.3% of cIMT variance. CONCLUSION: Low adiponectin was associated with higher cIMT in HIV-1-infected patients on cART. Low adiponectin levels in combination with age and smoking could explain, in part, the increased subclinical atherosclerosis observed in these patients. Adiponectin may be a good candidate for predicting subclinical atherosclerosis in the management of HIV-1-infected patients in public health care, especially where USGD is not available.

Immune-Inflammatory, Metabolic, Oxidative, and Nitrosative Stress Biomarkers Predict Acute Ischemic Stroke and Short-Term Outcome.

Immune-inflammatory, metabolic, oxidative, and nitrosative stress (IMO&NS) pathways and, consequently, neurotoxicity are involved in acute ischemic stroke (IS). The simultaneous assessment of multiple IMO&NS biomarkers may be useful to predict IS and its prognosis. The aim of this study was to identify the IMO&NS biomarkers, which predict short-term IS outcome. The study included 176 IS patients and 176 healthy controls. Modified Rankin scale (mRS) was applied within 8 h after IS (baseline) and 3 months later (endpoint). Blood samples were obtained within 24 h after hospital admission. IS was associated with increased white blood cell (WBC) counts, high sensitivity C-reactive protein (hsCRP), interleukin (IL-6), lipid hydroperoxides (LOOHs), nitric oxide metabolites (NOx), homocysteine, ferritin, erythrocyte sedimentation rate (ESR), glucose, insulin, and lowered iron, 25-hydroxyvitamin D [25(OH)D], total cholesterol, and high-density lipoprotein (HDL) cholesterol. We found that 89.4% of the IS patients may be correctly classified using the cumulative effects of male sex, systolic blood pressure (SBP), glucose, NOx, LOOH, 25(OH)D, IL-6, and WBC with sensitivity of 86.2% and specificity of 93.0%. Moreover, increased baseline disability (mRS ≥ 3) was associated with increased ferritin, IL-6, hsCRP, WBC, ESR, and glucose. We found that 25.0% of the variance in the 3-month endpoint (mRS) was explained by the regression on glucose, ESR, age (all positively), and HDL-cholesterol, and 25(OH)D (both negatively). These results show that the cumulative effects of IMO&NS biomarkers are associated with IS and predict a poor outcome at 3-month follow-up.

Antioxidant and Anti-inflammatory Diagnostic Biomarkers in Multiple Sclerosis: A Machine Learning Study.

An imbalance of inflammatory/anti-inflammatory and oxidant/antioxidant molecules has been implicated in the demyelination and axonal damage in multiple sclerosis (MS). The current study aimed to evaluate the plasma levels of tumor necrosis factor (TNF)-α, soluble TNF receptor (sTNFR)1, sTNFR2, adiponectin, hydroperoxides, advanced oxidation protein products (AOPP), nitric oxide metabolites, total plasma antioxidant capacity using the total radical-trapping antioxidant parameter (TRAP), sulfhydryl (SH) groups, as well as serum levels of zinc in 174 MS patients and 182 controls. The results show that MS is characterized by lowered levels of zinc, adiponectin, TRAP, and SH groups and increased levels of AOPP. MS was best predicted by a combination of lowered levels of zinc, adiponectin, TRAP, and SH groups yielding an area under the receiver operating characteristic (AUC/ROC) curve of 0.986 (±0.005). The combination of these four antioxidants with sTNFR2 showed an AUC/ROC of 0.997 and TRAP, adiponectin, and zinc are the most important biomarkers for MS diagnosis followed at a distance by sTNFR2. Support vector machine with tenfold validation performed on the four antioxidants showed a training accuracy of 92.9% and a validation accuracy of 90.6%. The results indicate that lowered levels of those four antioxidants are associated with MS and that these antioxidants are more important biomarkers of MS than TNF-α signaling and nitro-oxidative biomarkers. Adiponectin, TRAP, SH groups, zinc, and sTNFR2 play a role in the pathophysiology of MS, and a combination of these biomarkers is useful for predicting MS with high sensitivity, specificity, and accuracy. Drugs that increase the antioxidant capacity may offer novel therapeutic opportunities for MS.

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

An association between prolactinemia with disability, clinical forms, and sex of patients with multiple sclerosis (MS) remains unclear. The aim of this study was to evaluate the association of prolactin with clinical forms and accumulating disability over time in patients with MS. A longitudinal study was carried out with 101 patients with relapsing-remitting MS (RRMS) and 19 with progressive forms of MS (ProgMS). The disability over time, as well as prolactin and ferritin serum levels were evaluated at baseline (T0), 8-month follow-up (T8), and 16-month follow-up. The disability at T0, T8, and T16 was higher among patients with ProgMS than those with RRMS. Prolactin and ferritin levels did not differ over time between both groups. Initially, prolactin was associated with MS disability. After introducing age and sex, the effects of prolactin on disability were no longer significant. Prolactin was associated with age and sex, whereby age was positively associated with disability. In the same way, after introducing age and sex, the effects of diagnosis on prolactin levels, as well as the association between prolactin and ferritin, were no longer significant (P = 0.563 and P = 0.599, respectively). Moreover, 21.6% of the variance in the disability was predicted by age (P < 0.001), and sex (P = 0.049), while prolactin was not significant. In conclusion, the effects of prolactin on the disability and clinical forms of MS patients may be spurious results because those correlations reflect the positive associations of age with the disability and the negative association of age with prolactin.

Immune-inflammatory, metabolic and hormonal biomarkers are associated with the clinical forms and disability progression in patients with multiple sclerosis: A follow-up study.

The objective of this study was to evaluate the role of immune-inflammatory, metabolic, hormonal, and oxidative stress biomarkers in disability progression (DP) and clinical forms of multiple sclerosis (MS). The study evaluated 140 MS patients at admission (T0), and eight (T8) and 16 months (T16) later. The Expanded Disability Status Score (EDSS) and biomarkers were determined at T0, T8, and T16. A DP index (DPI) defined as an increase of ≥1 rank on the EDSS score indicated that 39.3% of the patients had significant DP. Quantification of the ordinal EDSS rank score was performed using optimal scaling methods. Categorical regression showed that the quantitative T16 EDSS score was predicted by T0 homocysteine (Hcy), T0 parathormone (PTH), T0 advanced oxidized protein products (AOPP) (all positively), low T0 vitamin D (<18.3 ng/mL) and T8 folic acid (<5 ng/mL) concentrations while higher T8 calcium concentrations (≥8.90 mg/dL) had protective effects. Linear Mixed Models showed that the change in EDSS from T0 to T16 was significantly associated with changes in IL-17 (positively) and IL-4 (inversely) independently from the significant effects of clinical MS forms, treatment modalities, smoking, age and systemic arterial hypertension. Hcy, PTH, IL-6, and IL-4 were positively associated with progressive versus relapsing-remitting MS while 25(OH)D was inversely associated. In conclusion, the ordinal EDSS scale is an adequate instrument to assess DP after category value estestimation. Aberrations in immune-inflammatory, metabolic and hormonal biomarkers are associated with DP and with the progressive form of MS.

Tumor necrosis factor alpha (TNF-α) and its soluble receptors are associated with disability, disability progression and clinical forms of multiple sclerosis.

BACKGROUND: The association between tumor necrosis factor (TNF)-α, soluble TNF receptor (sTNFR)1 and sTNFR2 with clinical characteristics of multiple sclerosis (MS) remains unclear. OBJECTIVE: To examine whether TNF-α, sTNFR1 and sTNFR2 are associated with MS diagnosis, disability, disability progression and clinical forms of MS. MATERIALS AND SUBJECTS: The study included 147 patients with relapsing-remitting MS (RRMS), 21 with progressive clinical forms (ProgMS) and 70 controls. Expanded Disability Status Scale (EDSS) evaluated disability as mild (EDSS < 3.0) or moderate/high (EDSS ≥ 3.0). Multiple Sclerosis Severity Score (MSSS) evaluated disability progression as no progression (MSSS < 5) and progression (MSSS ≥ 5). Baseline data of subjects and plasma levels of TNF-α, sTNFR1, sTNFR2 were obtained. RESULTS: The MS diagnosis explained 44.6% and 12.3% of TNF-α and sTNFR2 levels, respectively. Moderate/high disability and disability progression were best predicted by sTNFR1 and age (positively) and ProgMS were best predicted by sTNFR1 (positively) and sTNFR2 (negatively), coupled with age and sex. A composite score reflecting the sTNFR1/sTNFR2 ratio showed a positive association with ProgMS after adjusting for age and sex. CONCLUSION: Increased sTNFR1 and age were positively associated with disability and disability progression, whereas increased sTNFR1 (positively) and sTNFR2 (negatively) were associated with ProgMS, suggesting a distinct role of them in the immunopathological mechanisms of MS.

The rs3761548 FOXP3 variant is associated with multiple sclerosis and transforming growth factor ß1 levels in female patients.

OBJECTIVE: The aim of this study was to evaluate the association between rs3761548 FOXP3 (-3279 C > A) variant and multiple sclerosis (MS), disability, disability progression, as well as transforming growth factor (TGF)-ß1 and interleukin (IL)-10 plasma levels in MS patients. METHODS AND SUBJECTS: The study included 170 MS patients and 182 controls. Disability was evaluated using Expanded Disability Status Scale (EDSS) and categorized as mild (EDSS ≤ 3) and moderate/high (EDSS > 3). Disability progression was evaluated using Multiple Sclerosis Severity Score (MSSS). The rs3761548 variant was determined with polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP). Plasma levels of TGF-ß1 and IL-10 were determined using immunofluorimetric assay. RESULTS: CA and AA genotypes were associated with MS [odds ratio (OR) 2.03, 95% confidence interval (CI) 1.66-3.53, p = 0.012; OR 8.19, 95% CI 3.04-22.07, p < 0.001, respectively). With the dominant model, the CA + AA genotypes were associated with MS (OR 2.57, 95% CI 1.50-4.37, p < 0.001). In the recessive model, the AA genotype was also associated with MS (OR 5.38, 95% CI 2.12-13.64, p < 0.001). After adjustment by age, ethnicity, BMI and smoking, all these results remained significant, as well as female patients carrying the CA + AA genotypes showed higher TGF-ß1 than those carrying the CC genotype (OR 1.35, 95% CI 1.001-1.054, p = 0.043). No association was observed between the genotypes and disability, disability progression and IL-10 levels. CONCLUSION: These results suggest that the A allele of FOXP3 -3279 C > A variant may exert a role in the T regulatory cell function, which could be one of the factors involved in the susceptibility for MS in females.

The role of zinc, copper, manganese and iron in neurodegenerative diseases.

Metals are involved in different pathophysiological mechanisms associated with neurodegenerative diseases (NDDs), including Alzheimer's disease (AD), Parkinson's disease (PD) and multiple sclerosis (MS). The aim of this study was to review the effects of the essential metals zinc (Zn), copper (Cu), manganese (Mn) and iron (Fe) on the central nervous system (CNS), as well as the mechanisms involved in their neurotoxicity. Low levels of Zn as well as high levels of Cu, Mn, and Fe participate in the activation of signaling pathways of the inflammatory, oxidative and nitrosative stress (IO&NS) response, including nuclear factor kappa B and activator protein-1. The imbalance of these metals impairs the structural, regulatory, and catalytic functions of different enzymes, proteins, receptors, and transporters. Neurodegeneration occurs via association of metals with proteins and subsequent induction of aggregate formation creating a vicious cycle by disrupting mitochondrial function, which depletes adenosine triphosphate and induces IO&NS, cell death by apoptotic and/or necrotic mechanisms. In AD, at low levels, Zn suppresses ß-amyloid-induced neurotoxicity by selectively precipitating aggregation intermediates; however, at high levels, the binding of Zn to ß-amyloid may enhance formation of fibrillar ß-amyloid aggregation, leading to neurodegeneration. High levels of Cu, Mn and Fe participate in the formation α-synuclein aggregates in intracellular inclusions, called Lewy Body, that result in synaptic dysfunction and interruption of axonal transport. In PD, there is focal accumulation of Fe in the substantia nigra, while in AD a diffuse accumulation of Fe occurs in various regions, such as cortex and hippocampus, with Fe marginally increased in the senile plaques. Zn deficiency induces an imbalance between T helper (Th)1 and Th2 cell functions and a failure of Th17 down-regulation, contributing to the pathogenesis of MS. In MS, elevated levels of Fe occur in certain brain regions, such as thalamus and striatum, which may be due to inflammatory processes disrupting the blood-brain barrier and attracting Fe-rich macrophages. Delineating the specific mechanisms by which metals alter redox homeostasis is essential to understand the pathophysiology of AD, PD, and MS and may provide possible new targets for their prevention and treatment of the patients affected by these NDDs.

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

The aim of this study was to evaluate the immune-inflammatory, metabolic, and nitro-oxidative stress (IM&NO) biomarkers as predictors of disability in multiple sclerosis (MS) patients. A total of 122 patients with MS were included; their disability was evaluated using the Expanded Disability Status Scale (EDSS) and IM&NO biomarkers were evaluated in peripheral blood samples. Patients with EDSS ≥3 were older and showed higher homocysteine, uric acid, advanced oxidized protein products (AOPP) and low-density lipoprotein (LDL)-cholesterol and higher rate of metabolic syndrome (MetS), while high-density lipoprotein (HDL)-cholesterol was lower than in patients with EDSS <3; 84.6% of all patients were correctly classified in these EDSS subgroups. We found that 36.3% of the variance in EDSS score was explained by age, Th17/T regulatory (Treg) and LDL/HDL ratios and homocysteine (all positively related) and body mass index (BMI) (inversely related). After adjusting for MS treatment modalities, the effects of the LDL/HDL and zTh17/Treg ratios, homocysteine and age on disability remained, whilst BMI was no longer significant. Moreover, carbonyl proteins were associated with increased disability. In conclusion, the results showed that an inflammatory Th17 profile coupled with age and increased carbonyl proteins were the most important variables associated with high disability followed at a distance by homocysteine, MetS and LDL/HDL ratio. These data underscore that IM&NO pathways play a key role in increased disability in MS patient and may be possible new targets for the treatment of these patients. Moreover, a panel of these laboratory biomarkers may be used to predict the disability in MS.

TNF-ß +252 A>G (rs909253) polymorphism is independently associated with presence of autoantibodies in rheumatoid arthritis patients.

The TNF-ß +252 A>G (rs909253) polymorphism has been associated with a risk of development of rheumatoid arthritis (RA) and could influence plasma tumor necrosis factor alpha (TNF-α) levels. The aim of the present study was to evaluate the association between the TNF-ß +252 A>G polymorphism with plasma TNF-α levels, the presence of autoantibodies, and the susceptibility for RA. This cross-sectional study included 261 patients with RA and 292 controls. The polymorphism was studied using polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP). Soluble TNF-α and receptors swere measured by multiplex assay. Rheumatoid factor (RF) and anticyclic citrullinated peptide antibodies (anti-CCP) were measured using immunoassay. No differences were observed in allele frequency and genotype distribution among patients and controls. The presence of RF (p = 0.020) and anti-CCP (p = 0.001) increased 4.23-fold and 8.13-fold, respectively, in patients with B1 allele (B1/B2 + B1/B1 genotypes) independently of demographic, clinical, and inflammatory markers. Among patients with B1/B2 + B1/B1 genotypes, higher TNF-α levels were associated with positive RF (p = 0.040), anti-CCP (p = 0.011), or both (p = 0.038). In patients carrying B1 allele, the increased sTNFR1 together with RF or anti-CCP or both explained about 39.0% the variations in TNF-α level. However, in B2/B2 genotype, the presence of those autoantibodies was not associated with TNF-α level. Our findings indicate that the TNF-ß +252 A>G polymorphism was not associated with RA susceptibility and TNF-α plasma levels. However, B1 allele was associated with the presence of autoantibodies. In addition, interaction between the presence of B1 allele and autoantibodies was associated with the increase of plasma TNF-α level in RA patients.