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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.

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 (NO x ), 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, NO x , 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.

There is evidence that activated immune-inflammatory and oxidative and nitrosative stress (IO&NS) pathways play a role in the pathophysiology of multiple sclerosis (MS) and depression. This study examines serum levels of interleukin (IL)-1β, IL-4, IL-6, and IL-10; peroxides (LOOH); nitric oxide metabolites (NOx); albumin; ferritin; C-reactive protein (CRP); and tumor necrosis factor (TNF)-β NcoI polymorphism (rs909253) and gadolinium-enhanced magnetic resonance imaging (MRI) scan in MS patients with (n = 42) and without (n = 108) depression and normal controls (n = 249). Depression is scored using the depressive subscale of the Hospital Anxiety and Depression Scale (HADS). The extent of neurological disability is measured using the Expanded Disability Status Scale (EDSS) at the same time of the abovementioned measurements and 5 years earlier. Disease progression is assessed as actual EDSS-EDSS 5 years earlier. Three variables discriminate MS patients with depression from those without depression, i.e., increased IL-6 and lower IL-4 and albumin. Binary logistic regression showed that MS with depression (versus no depression) was characterized by more gastrointestinal symptoms and disease progression, higher serum IL-6, and lower albumin levels. In subjects with MS, the HADS score was significantly predicted by three EDSS symptoms, i.e., pyramidal, gastrointestinal, and visual symptoms. Fifty-eight percent of the variance in the HADS score was predicted by gastrointestinal symptoms, visual symptoms, the TNFB1/B2 genotype, and contrast enhancement (both inversely associated). There were no significant associations between depression in MS and type of MS, duration of illness, age, sex, nicotine dependence, and body mass index. MS with depression is associated with signs of peripheral inflammation, more disability, disease progression, gastrointestinal and visual symptoms, but less contrast enhancement as compared to MS without depression. It is concluded that depression is part of the neurological symptoms of MS and that its expression is primed by peripheral inflammation while acute neuroinflammation and the TNFB1/B2 genotype may be protective.

The binary major depressive disorder (MDD) diagnosis is inadequate and should never be used in research. The study's objective is to explicate our novel precision nomothetic strategy for constructing depression models based on adverse childhood experiences (ACEs), lifetime and current phenome, and biomarker (atherogenicity indices) scores. This study assessed recurrence of illness (ROI: namely recurrence of depressive episodes and suicidal behaviors, SBs), lifetime and current SBs and the phenome of depression, neuroticism, dysthymia, anxiety disorders, and lipid biomarkers including apolipoprotein (Apo)A, ApoB, free cholesterol and cholesteryl esters, triglycerides, high density lipoprotein cholesterol in 67 normal controls and 66 MDD patients. We computed atherogenic and reverse cholesterol transport indices. We were able to extract one factor from a) the lifetime phenome of depression comprising ROI, and traits such as neuroticism, dysthymia and anxiety disorders, and b) the phenome of the acute phase (based on depression, anxiety and quality of life scores). PLS analysis showed that 55.7 % of the variance in the lifetime + current phenome factor was explained by increased atherogenicity, neglect and sexual abuse, while atherogenicity partially mediated the effects of neglect. Cluster analysis generated a cluster of patients with major dysmood disorder, which was externally validated by increased atherogenicity and characterized by increased scores of all clinical features. The outcome of depression should not be represented as a binary variable (MDD or not), but rather as multiple dimensional scores based on biomarkers, ROI, subclinical depression traits, and lifetime and current phenome scores including SBs. • Depression should not be represented as a binary variable, but rather as multiple continuous scores. • These continuous scores include recurrence of illness, suicidal behaviors, and the phenome. • We show how to build nomothetic models that include biomarkers and adverse childhood experiences. • These continuous scores are designated as Research and Diagnostic Algorithmic Rules (RADAR). • These RADAR scores can be integrated into a RADAR graph, a personalized fingerprint of the patient. [ABSTRACT FROM AUTHOR]

Introduction: Delirium is accompanied by immune response system activation, which may, in theory, cause a breakdown of the gut barrier and blood-brain barrier (BBB). Some results suggest that the BBB is compromised in delirium, but there is no data regarding the gut barrier. This study investigates whether delirium is associated with impaired BBB and gut barriers in elderly adults undergoing hip fracture surgery. Methods: We recruited 59 older adults and measured peak Delirium Rating Scale (DRS) scores 2-3 days after surgery, and assessed plasma IgG/IgA levels (using ELISA techniques) for zonulin, occludin, claudin-6, ß-catenin, actin (indicating damage to the gut paracellular pathway), claudin-5 and S100B (reflecting BBB damage), bacterial cytolethal distending toxin (CDT), LPS-binding protein (LBP), lipopolysaccharides (LPS), Porphyromonas gingivalis, and Helicobacter pylori. Results: Results from univariate analyses showed that delirium is linked to increased IgA responses to all the self-epitopes and antigens listed above, except for LPS. Part of the variance (between 45-48.3%) in the peak DRS score measured 2-3 days post-surgery was explained by independent effects of IgA directed to LPS and LBP (or bacterial CDT), baseline DRS scores, and previous mild stroke. Increased IgA reactivity to the paracellular pathway and BBB proteins and bacterial antigens is significantly associated with the activation of M1 macrophage, T helper-1, and 17 cytokine profiles. Conclusion: Heightened bacterial translocation, disruption of the tight and adherens junctions of the gut and BBB barriers, elevated CDT and LPS load in the bloodstream, and aberrations in cell-cell interactions may be risk factors for delirium. [ABSTRACT FROM AUTHOR]

• Children with NDDs have immune dysregulation like increased M1/M2 activities, IL-1 signalling and IRS and CIRS ratio. • Immune profiling suggests enhanced neurogenesis, Th-1 polarization, or IL-1 signalling in children with NDDs. • Children with NDDs have both shared as well as distinct immune pathways. Neurodevelopmental disorders (NDDs) are a spectrum of conditions with commonalities as well as differences in terms of phenome, symptomatome, neuropathology, risk factors and underlying mechanisms. Immune dysregulation has surfaced as a major pathway in NDDs. However, it is not known if neurodevelopmental disorders share a common immunopathogenetic mechanism. In this study, we explored the possibility of a shared immune etiology in three early-onset NDDs, namely Autism Spectrum Disorder (ASD), Attention Deficit Hyperactivity Disorder (ADHD) and Intellectual Disability Disorder (IDD). A panel of 48 immune pathway-related markers was assayed in 135 children with NDDs, represented by 45 children with ASD, ADHD and IDD in each group, along with 35 typically developing children. The plasma levels of 48 immune markers were analyzed on the Multiplex Suspension Assay platform using Pro Human cytokine 48-plex kits. Based on the cytokine/chemokine/growth factor levels, different immune profiles were computed. The primary characteristics of NDDs are depletion of the compensatory immune-regulatory system (CIRS) (z composite of IL-4, IL-10, sIL-1RA, and sIL-2R), increased interleukin (IL)-1 signaling associated with elevated IL-1α and decreased IL-1-receptor antagonist levels, increased neurogenesis, M1/M2 macrophage polarization and increased IL-4 as well as C-C Motif Chemokine Ligand 2 (CCL2) levels. With a cross-validated sensitivity of 81.8% and specificity of 94.4%, these aberrations seem specific for NDDs. Many immunological abnormalities are shared by ASD, ADHD and IDD, which are distinguished by minor differences in IL-9, IL-17 and CCL12. In contrast, machine learning reveals that NDD group consists of three immunologically distinct clusters, with enhanced neurogenesis, Th-1 polarization, or IL-1 signaling as the defining features. NDD is characterized by immune abnormalities that have functional implications for neurogenesis, neurotoxicity, and neurodevelopment. Using machine learning, NDD patients could be classified into subgroups with qualitatively distinct immune disorders that may serve as novel drug targets for the treatment of NDDs. [ABSTRACT FROM AUTHOR]

Major depressive disorder (MDD) and its severe subtype, major dysmood disorder (MDMD), are distinguished by activation of inflammatory and growth factor subnetworks, which are associated with recurrence of illness (ROI) and adverse childhood experiences (ACEs). Nerve growth factor (NGF) plays a crucial role in facilitating neuro-immune communications and may regulate the inflammatory response. Methods: The present study examined the effects of ACEs and ROI on culture supernatant NGF, stem cell factor (SCF), stem cell GF (SCGF), hepatocyte GF (HGF), and macrophage colony-stimulating factor (M-CSF), in relation to a neurotoxicity (NT) cytokine profile. Results: NGF levels are lower in MDD (p = 0.003), particularly MDMD (p < 0.001), as compared with normal controls. ROI and ACE were significantly and inversely associated with NGF (≤0.003) and the NGF/NT ratio (≤0.001), whereas there are no effects of ACEs and ROI on SCF, SCGF, HGF, or M-CSF. Lowered NGF (p = 0.003) and the NGF/NT ratio (p < 0.001) are highly significantly and inversely associated with the severity of the current depression phenome, conceptualized as a latent vector extracted from the current severity of depression, anxiety, and suicidal behaviors. We found that one validated and replicable latent vector could be extracted from NGF, ROI, and the depression phenome, which therefore constitutes a novel ROI-NGF-pathway-phenotype. ACEs explained 59.5% of the variance in the latter pathway phenotype (p < 0.001). Conclusions: The imbalance between decreased NGF and increased neurotoxic cytokines during the acute phase of severe depression may contribute to decreased neuroprotection, increased neuro-affective toxicity, and chronic mild inflammation. [ABSTRACT FROM AUTHOR]

Maes et al. (2008) published the first paper demonstrating that major depressive disorder (MDD) is accompanied by abnormalities in the microbiota–gut–brain axis, as evidenced by elevated serum IgM/IgA to lipopolysaccharides (LPS) of Gram-negative bacteria, such as Morganella morganii and Klebsiella Pneumoniae. The latter aberrations, which point to increased gut permeability (leaky gut), are linked to activated neuro-immune and oxidative pathways in MDD. To delineate the profile and composition of the gut microbiome in Thai patients with MDD, we examined fecal samples of 32 MDD patients and 37 controls using 16S rDNA sequencing, analyzed α- (Chao1 and Shannon indices) and β-diversity (Bray–Curtis dissimilarity), and conducted linear discriminant analysis (LDA) effect size (LEfSe) analysis. Neither α- nor β-diversity differed significantly between MDD and controls. Rhodospirillaceae, Hungatella, Clostridium bolteae, Hungatella hathewayi, and Clostridium propionicum were significantly enriched in MDD, while Gracillibacteraceae family, Lutispora, and Ruminococcus genus, Ruminococcus callidus, Desulfovibrio piger, Coprococcus comes, and Gemmiger were enriched in controls. Contradictory results have been reported for all these taxa, with the exception of Ruminococcus, which is depleted in six different MDD studies (one study showed increased abundance), many medical disorders that show comorbidities with MDD, and animal MDD models. Our results may suggest a specific profile of compositional gut dysbiosis in Thai MDD patients, with increases in some pathobionts and depletion of some beneficial microbiota. The results suggest that depletion of Ruminococcus may be a more universal biomarker of MDD that may contribute to increased enteral LPS load, LPS translocation, and gut–brain axis abnormalities. [ABSTRACT FROM AUTHOR]

In acute ischemic stroke (AIS), there are no data on whether oxidative stress biomarkers have effects above and beyond known risk factors and measurements of stroke volume. This study was conducted in 122 mild-moderate AIS patients and 40 controls and assessed the modified ranking scale (mRS) at baseline, and 3 and 6 months later. We measured lipid hydroperoxides (LOOH), malondialdehyde (MDA), advanced oxidation protein products, paraoxonase 1 (PON1) activities and PON1 Q192R genotypes, high density lipoprotein cholesterol (HDL), sulfhydryl (-SH) groups), and diffusion-weighted imaging (DWI) stroke volume and fluid-attenuated inversion recovery (FLAIR) signal intensity. We found that (a) AIS is characterized by lower chloromethyl acetate CMPAase PON1 activity, HDL and -SH groups and increased LOOH and neurotoxicity (a composite of LOOH, inflammatory markers and glycated hemoglobin); (b) oxidative and antioxidant biomarkers strongly and independently predict mRS scores 3 and 6 months later, DWI stroke volume and FLAIR signal intensity; and (c) the PON1 Q192R variant has multiple effects on stroke outcomes that are mediated by its effects on antioxidant defenses and lipid peroxidation. Lipid peroxidation and lowered -SH and PON1-HDL activity are drug targets to prevent AIS and consequent neurodegenerative processes and increased oxidative reperfusion mediators due to ischemia-reperfusion injury. [ABSTRACT FROM AUTHOR]

Type 2 diabetes mellitus (T2DM) is associated with increased atherogenicity and inflammatory responses, which may be related to high mobility group box 1 (HMGB1) and Dickkopf-related protein 1 (DKK1). The role of HMGB1 and DKK1 in T2DM is examined in association with lipid and insulin profiles. Serum HMGB1 and DKK1 were measured in T2DM with and without hypertension and compared with controls. The results showed that HMGB1 and DKK1 are higher in T2DM irrespective of hypertension. A large part of the variance in the β-cell index and glucose toxicity was explained by the combined effects of HMGB1 and DKK1. In conclusion, both HMGB1 and DKK1 may contribute to increased atherogenicity in T2DM. Moreover, both biomarkers may cause more deficits in β-cell function and increase glucose toxicity leading to the development of more inflammation and diabetic complications. HMGB1 and the Wnt pathways are other drug targets in treating T2DM. [ABSTRACT FROM AUTHOR]

Background: Alzheimer's disease (AD), which is characterized by progressive brain dysfunction and memory loss, is one of the most significant global health concerns for older adults. Neuroinflammation and increased oxidative stress contribute to the pathophysiology of AD, thereby presumably inducing tryptophan (TRP) degradation through the TRP catabolite (TRYCAT) pathway.Objective: To delineate the activity of the TRYCAT pathway along with levels of TRP and tryptophan catabolites (TRYCATs) in AD patients.Methods: We used PubMed, Google Scholar, Web of Science, and SciFinder during the month of January 2022 to gather the pertinent publications. We found 19 eligible articles which involved 738 patients and 665 healthy controls.Results: Our results revealed a significant difference (p = 0.008) in the kynurenine (KYN)/TRP ratio (standardized mean difference, SMD = 0.216, 95% confidence interval, CI: 0.057; 0.376), and a significant decrease in TRP in AD patients (SMD = -0.520, 95% CI: -0.738; -0.302, p < 0.0001). Moreover, we also found a significant increase in the central nervous system (CNS), brain, and cerebrospinal fluid kynurenic acid (KA)/KYN ratio but not in peripheral blood, as well as a significant decrease in plasma KA and xanthurenic acid in the CNS and blood.Conclusion: AD is characterized by TRP depletion but not by an overactivity of the TRYCAT pathway. IDO-induced production of neurotoxic TRYCATs is not a key factor in the pathophysiology of AD. [ABSTRACT FROM AUTHOR]

Major depressive disorder and major depressive episodes (MDD/MDE) are characterized by the activation of the immune–inflammatory response system (IRS) and the compensatory immune–regulatory system (CIRS). Cannabidiol (CBD) is a phytocannabinoid isolated from the cannabis plant, which is reported to have antidepressant-like and anti-inflammatory effects. The aim of the present study is to examine the effects of CBD on IRS, CIRS, M1, T helper (Th)-1, Th-2, Th-17, T regulatory (Treg) profiles, and growth factors in depression and healthy controls. Culture supernatant of stimulated (5 μg/mL of PHA and 25 μg/mL of LPS) whole blood of 30 depressed patients and 20 controls was assayed for cytokines using the LUMINEX assay. The effects of three CBD concentrations (0.1 µg/mL, 1 µg/mL, and 10 µg/mL) were examined. Depression was characterized by significantly increased PHA + LPS-stimulated Th-1, Th-2, Th-17, Treg, IRS, CIRS, and neurotoxicity profiles. CBD 0.1 µg/mL did not have any immune effects. CBD 1.0 µg/mL decreased CIRS activities but increased growth factor production, while CBD 10.0 µg/mL suppressed Th-1, Th-17, IRS, CIRS, and a neurotoxicity profile and enhanced T cell growth and growth factor production. CBD 1.0 to 10.0 µg/mL dose-dependently decreased sIL-1RA, IL-8, IL-9, IL-10, IL-13, CCL11, G-CSF, IFN-γ, CCL2, CCL4, and CCL5, and increased IL-1β, IL-4, IL-15, IL-17, GM-CSF, TNF-α, FGF, and VEGF. In summary, in this experiment, there was no beneficial effect of CBD on the activated immune profile of depression and higher CBD concentrations can worsen inflammatory processes. [ABSTRACT FROM AUTHOR]

Machine learning approaches, such as soft independent modeling of class analogy (SIMCA) and pathway analysis, were introduced in depression research in the 1990s (Maes et al.) to construct neuroimmune endophenotype classes. The goal of this paper is to examine the promise of precision psychiatry to use information about a depressed person's own pan-omics, environmental, and lifestyle data, or to tailor preventative measures and medical treatments to endophenotype subgroups of depressed patients in order to achieve the best clinical outcome for each individual. Three steps are emerging in precision medicine: (1) the optimization and refining of classical models and constructing digital twins; (2) the use of precision medicine to construct endophenotype classes and pathway phenotypes, and (3) constructing a digital self of each patient. The root cause of why precision psychiatry cannot develop into true sciences is that there is no correct (cross-validated and reliable) model of clinical depression as a serious medical disorder discriminating it from a normal emotional distress response including sadness, grief and demoralization. Here, we explain how we used (un)supervised machine learning such as partial least squares path analysis, SIMCA and factor analysis to construct (a) a new precision depression model; (b) a new endophenotype class, namely major dysmood disorder (MDMD), which is a nosological class defined by severe symptoms and neuro-oxidative toxicity; and a new pathway phenotype, namely the reoccurrence of illness (ROI) index, which is a latent vector extracted from staging characteristics (number of depression and manic episodes and suicide attempts), and (c) an ideocratic profile with personalized scores based on all MDMD features. [ABSTRACT FROM AUTHOR]

Background: Postoperative delirium in elderly people with hip fracture is associated with various adverse clinical outcomes. Nevertheless, the pathophysiological processes underpinning delirium have remained elusive. Objectives: The aim of this study was to explore the associations between delirium and its features and immune-inflammatory and blood gas biomarkers. Methods: In this prospective study, we examined 65 patients who underwent a hip fracture surgery and assessed the Confusion Assessment Method for the Intensive Care Unit, Richmond Agitation-Sedation Scale (RASS), and Delirium Rating Scale Revised-98 (DRS-R-98) before and during 4 days after the surgery. Complete blood count and venous blood gas markers were obtained at the same time points. Results: Delirium was observed in 19 patients and was accompanied by significantly increased pO2, number of white blood cells, neutrophil percentage, and neutrophil/lymphocyte ratio, and lower mean platelet volume (MPV) after adjusting for age, central nervous system (CNS) disease, blood loss during surgery, sleep disorders, and body mass index. The severity of delirium was associated with lowered number of platelets and MPV. Psychomotor disorders were associated with lower bicarbonate levels. The requirement of physical restraint of the patients was predicted by increased percentages of neutrophils and lymphocytes. Prior CNS disease was together with these biomarkers a significant predictor of delirium and severity of delirium. Conclusion: Delirium and psychomotor disorders following hip fracture and surgery may be caused by immune-inflammatory and oxidative stress pathways probably attributable to an aseptic inflammatory process. [ABSTRACT FROM AUTHOR]

Background: The Apolipoprotein E4 (ApoE4) genotype is strongly associated with Alzheimer's disease (AD), although the presence of the ApoE4 allele alone is not sufficient to explain AD. The pathophysiology of amnestic mild cognitive impairment (aMCI) remains unclear.Objective: This study aims to examine associations between peripheral blood biomarkers coupled with ApoE4 and episodic and semantic memory.Methods: The CERAD battery was completed and various biomarkers were assayed in 60 subjects with aMCI, 60 with AD, and 62 healthy controls.Results: Deficits in semantic and episodic memory were significantly predicted by anion gap and bicarbonate, albumin, and glucose coupled with ApoE4. Furthermore, these peripheral biomarkers interacted with ApoE to predict greater memory impairments.Conclusions: Peripheral blood biomarkers may interact with pathways related to ApoE4 to predict greater semantic and episodic memory impairments, thus contributing to the pathophysiology of aMCI and AD. Our data suggest that the transition from aMCI to AD could at least in some cases be associated with significant interactions between ApoE4 and those peripheral blood biomarkers. [ABSTRACT FROM AUTHOR]

Objective: The objectives of this study were to delineate the pro and anti-inflammatory cytokine profiles of psoriasis and cytokine profile models that externally validate the diagnosis. Subjects and Methods: This study recruited 70 patients with psoriasis and 76 healthy controls. Cytokine profiles were evaluated, including pro-inflammatory M1 (IL-1 + IL-6 + TNF-α), Th1 (IL-2 + IL-12 + IFN-γ), Th17 (IL-6 + IL-17), and immune-inflammatory response system (IRS = M1 + Th1 + Th17) profiles. Moreover, the anti-inflammatory potential included Th2 (IL-4), Th2 + T regulatory (Th2 + Treg, namely IL-4 + IL-10 + TGF-β), anti-inflammatory (Th2 + Treg + adiponectin), and the pro-inflammatory/anti-inflammatory index. Results: There was a highly significant association between psoriasis and cytokine levels with an effect size of 0.829 and a particularly strong impact on IL-2 (0.463), IL-12 (0.451), IL-10 (0.532) and adiponectin (0.401). TGF-β and adiponectin were significantly lower while all other cytokines (except IFN-γ) were significantly higher in psoriasis than in controls. In addition, M1, Th1, Th17, Th2 + Treg, and IRS/Anti-inflammatory index were significantly higher in psoriasis patients than in controls. The IRS index, Th2 + Treg, and adiponectin predicted psoriasis with 97.1% sensitivity and 94% specificity. Conclusion: In conclusion, psoriasis is characterized by increased M1, Th1, Th2 and Th17 profiles together with lowered TGF-β and adiponectin. In addition, we propose a model based on a higher IRS and Th2 + Treg index coupled with lower adiponectin values, which may be used to externally validate the diagnosis of psoriasis. The most important single biomarker of psoriasis is adiponectin. Because the latter may play a role in the modulation of the chronic inflammatory response in psoriasis, adiponectin could be a new drug target to treat psoriasis. [ABSTRACT FROM AUTHOR]

Abstract: There is much debate on the diagnostic classification of Myalgic Encephalomyelitis (ME), Chronic Fatigue Syndrome (CFS) and chronic fatigue (CF). Post-exertional malaise (PEM) is stressed as a key feature. This study examines whether CF and CFS, with and without PEM, are distinct diagnostic categories. Fukuda''s criteria were used to diagnose 144 patients with chronic fatigue and identify patients with CFS and CF, i.e. those not fulfilling the Fukuda''s criteria. PEM was rated by means of a scale with defined scale steps between 0 and 6. CFS patients were divided into those with PEM lasting more than 24h (labeled: ME) and without PEM (labeled: CFS). The 12-item Fibromyalgia and Chronic Fatigue Syndrome (FF) Rating Scale was used to measure severity of illness. Plasma interleukin-1 (IL-1), tumor necrosis factor (TNF)α, and lysozyme, and serum neopterin were employed as external validating criteria. Using fatigue, a subjective feeling of infection and PEM we found that ME, CFS, and CF were distinct categories. Patients with ME had significantly higher scores on concentration difficulties and a subjective experience of infection, and higher levels of IL-1, TNFα, and neopterin than patients with CFS. These biomarkers were significantly higher in ME and CFS than in CF patients. PEM loaded highly on the first two factors subtracted from the data set, i.e. “malaise-sickness” and “malaise-hyperalgesia”. Fukuda''s criteria are adequate to make a distinction between ME/CFS and CF, but ME/CFS patients should be subdivided into ME (with PEM) and CFS (without PEM). [Copyright &y& Elsevier]

Background: Depression is an inflammatory disorder while many authors declare myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) to be a functional disorder. The aim of the present study is to compare inflammatory and cell-mediated immune (CMI) responses between depression and ME/CFS. Methods: We measured two proinflammatory cytokines (PICs) in plasma, interleukin-1 (IL-1) and tumor necrosis factor-α (TNF-α), with enzyme-linked immunosorbent assays, and serum neopterin with a radioimmunoassay in controls, ME/CFS and depressive patients. Results: Plasma PICs were significantly higher in ME/CFS than in depression and higher in both patient groups than in controls. Increased PIC levels in depression were attributable to the presence of fatigue and physio-somatic symptoms. Serum neopterin did not differ significantly between depression and ME/CFS but was higher in both patient groups than in controls. The significant positive correlations between neopterin and either IL-1 or TNF-α were significantly greater in depression than in ME/CFS. Conclusions: Since PICs cause depression-like behaviors and fatigue/malaise, we suggest that inflammation may play a role in the pathophysiology of ME/CFS and depression. Increased neopterin also seems to contribute to the pathophysiology of both disorders. This study has detected a shared 'pathway phenotype', i.e. disorders in inflammatory and CMI pathways, which underpins both ME/CFS and depression and, therefore, may explain the co-occurrence of both disorders. ME/CFS and depression are discriminated from each other by increased PICs in ME/CFS and differences in the immune cell communication networks. Copyright © 2012 S. Karger AG, Basel [ABSTRACT FROM AUTHOR]

Abstract: The tryptophan catabolite (TRYCAT) pathway is induced by indoleamine 2,3-dioxygenase (IDO), which upon activation depletes plasma tryptophan (TRP) and increases the synthesis of TRYCATs. Both phenomena are associated with somatization and depression. The aims of this study are to examine whether disorders in the TRYCAT pathway are specific to depression or somatization and whether the diagnoses somatization, depression, and comorbid depression+somatization reflect qualitatively distinct clinical and biological categories. Plasma TRP, the kynurenine (KY)/TRP and KY/kynurenic acid (KA) ratios were measured in 36 patients with somatization, 35 depressed and 38 depressed+somatization patients and 22 controls. Using pattern recognition methods, the diagnosis comorbid depression+somatization could not be validated, while there was an important overlap between depression and somatization, which form one continuum. Cluster analysis detected a) a control cluster; b) a cluster with lower tryptophan, and higher KY/TRP and KY/KA ratios and somatization scores; and c) a cluster with increased depression but lower KY/TRP values. The differences between both patient clusters were quantitative and not qualitative. Within the patient group, cluster analysis has generated a “pathway phenotype”, i.e. aberrations in the TRYCAT pathway, which are associated with somatization rather than with depression. [Copyright &y& Elsevier]

Abstract: Background: Major depression is characterized by a decreased antioxidant status, an induction of the inflammatory and oxidative and nitrosative (IO&NS) pathways and inflammatory-neurodegenerative (I&ND) pathways. This study examines two markers of oxidative stress in depression, i.e. plasma peroxides and serum oxidized LDL (oxLDL) antibodies. Methods: Blood was sampled in 54 patients with major depression (mean±SD age=43.5±11.6years) and 37 normal volunteers (43.6±11.1years). The severity of illness was measured by means of the Hamilton Depression Rating Scale. The Fibromyalgia and Chronic Fatigue Syndrome Rating Scale was used to measure severity of “psychosomatic” symptoms in depression. Results: We found significantly higher plasma peroxides (p =0.002) and serum oxLDL antibodies (p =0.0002) in depressed patients as compared to normal controls. There was no significant correlation between both markers and both independently from each other predicted major depression. There were significant correlations between the oxLDL antibodies and the scores on two items of the FF scale, i.e. gastro-intestinal symptoms and headache. Discussion: The results show that major depression is accompanied by increased oxidative stress and lipid peroxidation. These results further extend the IO&NS pathophysiology of major depression. Since increased peroxides and oxLDL antibodies are predictors of coronary artery disease (CAD) and neurodegeneration, our findings suggest that IO&NS pathways are involved in the increased incidence of both CAD and neurodegeneration in depression. [ABSTRACT FROM AUTHOR]

Aberrations in endothelial cells, immune and oxidative pathways are associated with atherosclerosis (ATS) and unstable angina (UA). The role of trace elements, minerals, and the endogenous opioid system (EOS) in UA are less well established. We measured lipid, insulin resistance (IR), and immune, trace element (copper and zinc), mineral (magnesium, calcium), EOS (β-endorphin and mu-opioid receptor (MOR)) and antioxidant (vitamin D3) biomarkers in patients with ATS (n = 60) and UA (n = 60) and healthy controls (n = 58). ATS patients showed increased atherogenic and IR indices, IL-6, IL-10, β-endorphin, copper and magnesium, and lower zinc than healthy controls. Logistic regression showed that UA was significantly discriminated from ATS without UA with an accuracy of 85.5 % using calcium, IL-10, β-endorphin, MOR, triglycerides, IR (all positively), and copper and vitamin D3 (inversely). Neural networks showed that UA was discriminated from ATS without UA with an area under the ROC curve of 0.942 using MOR, β-endorphin, calcium, insulin resistance, vitamin D3 and copper as input variables. We found that 50.0 % of the variance in IR was explained by the regression on copper, IL-10, IL-6 (all positively), and zinc (inversely), while 32.9 % of the variance in the atherogenic index of plasma was explained by copper, IL-10 (both positively), and magnesium (inversely). UA is not only mediated by insulin resistance, atherogenicity, and immune disorders, but also by aberrations in the endogenous opioid system and trace elements as well as lowered antioxidant levels. Copper appears to play a key role in IR and atherogenicity. [ABSTRACT FROM AUTHOR]

• First episode major depression is accompanied by increased adverse childhood experiences (ACEs) and negative life events (NLEs). • A significant part of the impact of ACEs and NLEs on the major depression phenome is mediated by activated immune and growth factors networks. • ACEs and NLEs are highly significantly correlated with different cytokines/chemokines/growth factors, especially with interleukin (IL)−16, CCL27, stem cell growth factor, and platelet-derived growth factor. This research assessed the effects of adverse childhood experiences (ACEs) and negative life events (NLEs) on forty-eight cytokines/chemokines/growth factors, in 71 FE-MDMD patients and forty heathy controls. ACEs are highly significantly associated with the classical M1 macrophage, T helper (Th)-1, Th-1 polarization, IRS, and neurotoxicity immune profiles, and not with the alternative M2, and Th-2 immune profiles. There are highly significant correlations between ACEs and NLEs and different cytokines/chemokines/growth factors, especially with interleukin (IL)-16, CCL27, stem cell growth factor, and platelet-derived growth factor. Partial Least Squares analysis showed that 62.3 % of the variance in the depression phenome (based on severity of depression, anxiety and suicidal behaviors) was explained by the regression on IL-4 (p = 0.001, inversely), the sum of ACEs + NLEs (p < 0.0001), and a vector extracted from 10 cytokines/chemokines/growth factors (p < 0.0001; both positively associated). The latter partially mediated (p < 0.0001) the effects of ACE + NLEs on the depression phenome. In conclusion, part of the effects of ACEs and NLEs on the depression phenome is mediated via activation of immune and growth factor networks. These pathways have a stronger impact in subjects with lowered activities of the compensatory immune-regulatory system. [ABSTRACT FROM AUTHOR]

Many biochemical, immunological, and neuropsychiatric changes are associated with end-stage renal disease (ESRD). Neuronal damage biomarkers such as glial fibrillary acidic protein (GFAP), neurofilament light chain (NFL), S100 calcium-binding protein B (S100B), ionized calcium-binding adaptor molecule-1 (IBA1), and myelin basic protein (MBP) are among the less-studied biomarkers of ESRD. We examined the associations between these neuro-axis biomarkers, inflammatory biomarkers, e.g., C-reactive protein (CRP), interleukin (IL-6), IL-10, and zinc, copper, and neuropsychiatric symptoms due to ERSD. ELISA techniques were used to measure serum levels of neuronal damage biomarkers in 70 ESRD patients, and 46 healthy controls. ESRD patients have higher scores of depression, anxiety, fatigue, and physiosomatic symptoms than healthy controls. Aberrations in kidney function tests and the number of dialysis interventions are associated with the severity of depression, anxiety, fibro-fatigue and physiosomatic symptoms, peripheral inflammation, nestin, and NFL. Serum levels of neuronal damage biomarkers (NFL, MBP, and nestin), CRP, and interleukin (IL)-10 are elevated, and serum zinc is decreased in ESRD patients as compared with controls. The neuronal damage biomarkers NFL, nestin, S100B and MBP are associated with the severity of one or more neuropsychiatric symptom domains. Around 50 % of the variance in the neuropsychiatric symptoms is explained by NFL, nestin, S00B, copper, and an inflammatory index. The severity of renal dysfunction and/or the number of dialysis interventions may induce peripheral inflammation and, consequently, neurotoxicity to intermediate filament proteins, astrocytes, and the blood-brain barrier, leading to the neuropsychiatric symptoms of ESRD. • ESRD patients have higher scores of depression, anxiety, and fatigue. • Kidney function decline and dialysis treatments cause peripheral inflammation. • NFL, MBP, and nestin are associated with the severity of neuropsychiatric symptoms. • Serum levels of NFL, MBP, nestin, CRP, and IL-10 are elevated in ESRD patients. [ABSTRACT FROM AUTHOR]

Background: The aim is to examine whether biomarkers of the immune-inflammatory response (IRS) and endogenous opioid (EOS) systems are associated with affective symptoms in schizophrenia.Methods: We recruited 115 schizophrenia patients and 43 healthy controls and assessed the Hamilton Depression (HDRS) and Anxiety (HAM-A) rating Scale scores as well as serum levels of interleukin (IL)-6, IL-10, eotaxin (CCL11), high mobility group box 1 (HMGB1), Dickkopf-related protein 1 (DKK1), and mu (MOR) and kappa (KOR) opioid receptors.Results: The HDRS and HAM-A scores are significantly and positively correlated with a) psychosis, hostility, excitation, mannerism, negative symptoms, psychomotor retardation, and formal thought disorders; and b) lowered scores on semantic and episodic memory, executive functions, and attention tests as measured with the Brief Assessment of Cognition in Psychiatry. Both HDRS and HAM-A are significantly increased in non-responders to treatment as compared with partial responders. Both affective scores are strongly associated with a latent vector extracted from all symptoms, reflecting overall severity of schizophrenia symptoms (OSOS), and neurocognitive test scores, reflecting a generalized cognitive decline (G-CoDe). The HDRS score was strongly and positively associated with IL-6, HMGB1, KOR, and MOR levels, and the HAM-A score with IL-6, IL-10, CCL11, HMGB1, KOR, and MOR levels. A single latent trait may be extracted from OSOS, G-CoDe, and the HDRS and HAMA scores, and this latent vector score is strongly predicted by HMGB1, MOR, and DKK1.Conclusion: Immune-inflammatory and EOS pathways contribute to the phenome of schizophrenia, which comprises OSOS, affective, and physiosomatic symptoms, and G-CoDe. [ABSTRACT FROM AUTHOR]

Background: Some months after the remission of acute COVID-19, some individuals show depressive symptoms, which are predicted by increased peak body temperature (PBT) and decreased blood oxygen saturation (SpO2). No data indicate whether Long COVID is associated with increased insulin resistance (IR) in association with neuroimmune and oxidative (NIO) processes. Methods: This case control and retrospective cohort study used the homeostasis Model Assessment 2 (HOMA2) calculator© to compute β-cell function, insulin sensitivity and resistance (HOMA2-IR) and measured the Beck Depression Inventory (BDI) and the Hamilton Depression Rating Scale (HAMD) in 86 Long COVID patients and 39 controls. Results: Long COVID (3-4 months after the acute infection) is accompanied by increased HOMA2-IR, fasting blood glucose, and insulin levels; 33.7% of the patients versus 0% of the controls had HOMA2-IR values >1.8, suggesting IR. Increased IR was predicted by PBT during acute infection, and associated with depressive symptoms above and beyond the effects of NIO pathways (NLRP3 inflamasome, myeloperoxidase, protein oxidation). There were no significant associations between increased IR and the activated NIO pathways during Long COVID. Conclusion: Long COVID is associated with new-onset IR which may contribute to the onset of depressive symptoms due to Long COVID by enhancing overall neurotoxicity. [ABSTRACT FROM AUTHOR]

• SARS-CoV-2 infection is accompanied by activation of pro-inflammatory cytokines. • IL-18 belongs to the cytokine IL-1 family and is involved in both innate and adaptive immune responses. • The IL18 -105G > A (rs360717) and IL18 -137C > G (rs187238) variants showed protective effects on severity of COVID-19. • The presence of the IL18 -105 A allele in homozygosis or heterozygosis conferred about 44.0% of protection in the development of moderate and severe COVID-19. • The presence of the IL18 -137 G allele may have a protective effect against COVID-19 severity. A cross-sectional study evaluated the IL18 -105G > A (rs360717) and IL18 -137C > G (rs187238) variants on Coronavírus Disease 2019 (COVID-19) severity. 528 patients with COVID-19 classifed with mild (n = 157), moderate (n = 63) and critical (n = 308) disease were genotpyed for the IL18 -105G > A and IL18 -137C > G variants. We observed associations between severe + critical COVID-19 groups (reference group was mild COVID-19) and the IL18 -105G > A (p = 0.008) and IL18 -137C > G (p = 0.01) variants, which remained significant after adjusting for sex, ethnicity and age. Consequently, we have examined the associations between moderate + critical COVID-19 and the genotypes of both variants using different genetic models. The IL18 -105G > A was associated with severe disease (moderate + critical), with effects of the GA genotype in the codominant [Odds ratio (OR), (95 % confidence interval) 0.55, 0.34–0.89, p = 0.015], overdominant (0.56, 0.35–0.89, p = 0.014) and dominant (0.60, 0.38–0.96, p = 0.031) models. IL18 -105 GA coupled with age, chest computed tomograhy scan anormalities, body mass index, heart diseases, type 2 diabetes mellitus, hypertension, and inflammation may be used to predict the patients who develop severe disease with an accuracy of 84.3 % (sensitivity: 83.3 % and specificity: 86.5 %). Therefore, the presence of the IL18 -105 A allele in homozygosis or heterozygosis conferred about 44.0 % of protection in the development of moderate and severe COVID-19. The IL18 -137C > G variant was also associated with protective effects in the codominant (0.55, 0.34–0.89, p = 0.015), overdominant (0.57, 0.36–0.91, p = 0.018), and dominant models (0.59, 0.37–0.93, p = 0.025). Therefore, the IL18 -137 G allele showed a protective effect against COVID-19 severity. The IL18 -105G > A and IL18 -137C > G variants may contribute with protective effects for COVID-19 severity and the effects of IL18 -137C > G may be modulating IL-18 production and Th1-mediated immune responses. [ABSTRACT FROM AUTHOR]

Background: Transfusion dependent thalassemia (TDT) patients are treated with continued blood transfusions and show a higher prevalence of depression. TDT with consequent iron overload and inflammation is associated with increased severity of depressive symptoms in TDT children.Aim Of the Study: To construct a pathway-phenotype which combines iron overload and neuro-immune biomarkers with depressive symptom subdomains in TDT children.Methods: We measured iron status parameters (iron, ferritin, transferrin saturation percentage) and inflammatory (interleukin-1β and tumour necrosis factor-α) biomarkers in TDT (n=111) and healthy (n=53) children and analyzed the results using machine learning.Results: Cluster analysis separated TDT children with depression from those without depression and revealed two depressive subgroups one with low self-esteem and another with increased social-irritability scores. Exploratory factor analysis validated four depressive symptom dimensions as reliable constructs, namely key depressive, physiosomatic, lowered self-esteem and social-irritability dimensions. Partial Least Squares showed that 73.0% of the variance in a latent vector extracted from those four clinical subdomains, immune-inflammatory and iron overload biomarkers was explained by exposure variables including the number of blood transfusions and hospitalizations and use of deferoxamine. The exposure data, iron and immune biomarkers, and symptom subdomains are reflective manifestations of a single latent trait, which shows internal consistency reliability and predictive relevance.Conclusions: The nomological network combining exposure, pathways and behavioral phenome manifestations provides an index of overall severity and disease risk and, therefore, constitutes a new drug target, indicating that iron overload and immune activation should be targeted to treat depression due to TDT. [ABSTRACT FROM AUTHOR]

Objectives: A previous study has shown that schizophrenia (SCZ) is accompanied by lowered levels of trace/metal elements, including cesium. However, it is not clear whether changes in cesium, rubidium, and rhenium are associated with activated immune-inflammatory pathways, cognitive impairments, and the symptomatology of SCZ. Methods: This study measured cesium, rubidium, and rhenium, cognitive impairments (using the Brief Assessment of Cognition in Schizophrenia [BACS]), and the levels of cytokines/chemokines interleukin (IL)-1b, tumor necrosis factor (TNF)-a, and eotaxin (CCL11) in 120 patients with SCZ and 54 healthy controls. Severity of illness was assessed using the Brief Psychiatric Rating Scale (BPRS), the Scale for the Assessment of Negative Symptoms (SANS), the Fibromyalgia and Chronic Fatigue Syndrome Rating (FF) Scale, and the Hamilton Depression Rating Scale (HAM-D). Results: Serum cesium was significantly lower in patients with SCZ as compared with controls. Further, serum cesium was significantly and inversely associated with CCL11 and TNF-a, but not IL-1b, in patients with SCZ; significant inverse associations were also noted between serum cesium levels and BPRS, FF, HAM-D, and SANS scores. Finally, cesium was positively correlated with neurocognitive probe results including the Tower of London, Symbol Coding, Controlled Word Association, Category Instances, Digit Sequencing Task, and List Learning tests. Conclusion: The results suggest that lowered serum cesium levels may play a role in the pathophysiology of SCZ, contributing to specific symptom domains including negative, depressive and fatigue symptoms, neurocognitive impairments (spatial working, episodic, and semantic memory and executive functions), and neuroimmune pathways. [ABSTRACT FROM AUTHOR]

Background: Hypertension, atherogenicity and insulin resistance are major risk factors of cardiovascular disorder (CVD), which shows a strong comorbidity with major depression (MDD) and bipolar disorder (BD). Activated oxidative and nitrosative stress (O&NS), inflammatory pathways, and increased atherogenicity are shared pathways underpinning CVD and mood disorders.Methods: The current study examined the effects of lipid hydroperoxides (LOOH), superoxide dismutase (SOD), nitric oxide metabolites (NOx), advanced oxidation protein products (AOPP), and malondialdehyde (MDA) on systolic (SBP) and diastolic (DBP) blood pressure in 96 mood disordered patients and 60 healthy controls.Results: A large part of the variance in SBP (31.6%) was explained by the regression on a z unit-weighted composite score (based on LOOH, AOPP, SOD, NOx) reflecting nitro-oxidative stress toxicity (NOSTOX), coupled with highly sensitive C-reactive protein, body weight and use of antihypertensives. Increased DBP was best predicted (23.8%) by body mass index and NOSTOX. The most important O&NS biomarkers predicting an increased SBP were in descending order of significance: LOOH, AOPP and SOD. Higher levels of the atherogenic index of plasma, HOMA2 insulin resistance index and basal thyroid-stimulating hormone also contributed to increased SBP independently from NOSTOX. Although there were no significant changes in SBP/DBP in mood disorders, the associations between NOSTOX and blood pressure were significant in patients with mood disorders but not in healthy controls.Conclusions: Activated O&NS pathways including increased lipid peroxidation and protein oxidation, which indicates hypochlorous stress, are the most important predictors of an increased BP, especially in patients with mood disorders. [ABSTRACT FROM AUTHOR]

Depression is accompanied by metabolic disorders in iron metabolism, lipoproteins, and insulin resistance. We measured plasma levels of ferritin, iron, lipids, insulin, and glucose and computed the homeostasis model assessment (HOMA2IR) and atherogenic index of plasma (AIP) in MS patients with and without depression and healthy controls. Explanatory variables were serum uric acid, interleukin (IL)-6, lipid hydroperoxides (CL-LOOH), albumin, and C-reactive protein (CRP). Depression was assessed using the Hospital Anxiety and Depression Scale (HADS), neurological disability using the Expanded Disability Status Scale (EDSS), and disease progression using ∆EDSS over five years earlier. HOMA2IR and insulin were predicted by diagnosis (increased in MS), age and body mass index (BMI); AIP by diagnosis, sex, BMI, CRP, and uric acid; triglycerides by diagnosis (higher in MS without depression), age, BMI and uric acid; ferritin by diagnosis (higher in MS), sex, CRP, and albumin; and iron by albumin. The HADS score was significantly predicted by ∆EDSS, gastro-intestinal symptoms, iron (inverse), and age. MS is characterized by significantly increased insulin resistance, which is determined by increased insulin levels; and increased ferritin, a biomarker of inflammation. Depression in MS is not associated with increased insulin resistance and atherogenicity but with lowered iron. [ABSTRACT FROM AUTHOR]

The aim of this study is to delineate the risk factors of antenatal depression and its consequences, including postnatal depression, and to examine whether the hematocrit (Hct) is associated with maternal depression. The Edinburgh Postnatal Depression Scale (EPDS), Spielberger’s State Anxiety Inventory (STAI), Kennerley and Gath Maternity Blues Assessment Scale (KGB), Beck Depression Inventory (BDI) and Hamilton Depression Rating Scale (HAMD) were assessed at the end of term (T1) and 2–3 days (T2) and 4–6 weeks (T3) after delivery in 126 women with and without antenatal depression. The Hct was measured at T1. Antenatal depression was significantly predicted by lifetime depression and premenstrual syndrome and less education. Antenatal depression was not associated with obstetric or neonatal outcomes. Antenatal depression symptoms strongly predict depression and anxiety symptoms at T2 and T3. The EPDS, KGB, STAI and BDI, but not the HAMD, scores, were significantly lower at T3 than before. The incidence of depression significantly decreased from T1 (23.8%) to T2 (7.8%) and T3 (5.3%). T1 Hct values significantly predicted the T3 postnatal EPDS, STAI, KGB and BDI scores. Delivery significantly improves depression and anxiety symptoms. Increased Hct in the third trimester is a biomarker of postpartum depression and anxiety symptoms. [ABSTRACT FROM AUTHOR]

Abstract: Background: Major depression and bipolar disorder are accompanied by the activation of immune-inflammatory and Oxidative and Nitrosative Stress (O&NS) pathways and lowered levels of antioxidants. Paraoxonase (PON)1 (EC 3.1.8.1) is an antioxidant bound to High Density Lipoprotein (HDL). Polymorphisms in the PON1 Q192R coding sequence determine three functional genotypes, i.e. 192QQ, 192QR and 192RR. Aims: This study was carried out to delineate the associations of plasma PON1 activity and functional PON1 Q192R genotypes in major depression and bipolar disorder. Methods: PON1 status that is plasma PON1 abundance and three functional PON1 Q192R genotypes were assayed in 91 major depressed and 45 bipolar patients and compared to 199 normal controls. Results: Major depression, but not bipolar disorder, was accompanied by lowered PON1 activity. PON1 activity was decreased by smoking and a diagnosis by genotype interaction (i.e. lower PON1 in major depression with the QQ genotype). Logistic regression showed that smoking by QQ genotype significantly increased the odds of bipolar disorder and that major depression was predicted by plasma PON1 activity, serum HDL cholesterol and interactions between genotype×smoking. Discussion: The results suggest that lowered plasma PON1 activity is a trait marker of major depression and that PONQ192R gene–environment (smoking) interactions differentially predict the odds of depression and bipolar disorder. Limitations: Association studies are prone to a risk of false positive findings and replication is essential. Conclusions: The findings suggest that there are differential PON1 Q192R functional genotype×environment interactions in major depression and bipolar disorder. The effects of lowered PON1 activity may contribute to increased O&NS and immune-inflammatory burden in depression. PON1 status may contribute to the comorbidity between depression and other immune- and O&NS-related disorders, e.g. cardiovascular disorder. [Copyright &y& Elsevier]

Objective: To examine the associations between menstruation features and symptoms and hormone-immune-metabolic biomarkers.Methods: Forty-one women completed questionnaires assessing characteristic menstruation symptoms, duration of menstrual cycle and number of pads used/day and completed the Daily Record of Severity of Problems (DRSP) during the consecutive days of their menstrual cycle. Menses-related symptoms (MsRS) were computed from the sum of 10 pre- and post-menses symptoms and the menstruation blood and duration index (MBDI) was computed based on the daily number of pads and duration of menses. We assayed serum levels of various biomarkers at days 7, 14, 21, and 28 of the subjects' menstrual cycle.Results: MBDI was significantly associated with a) MsRS including low abdominal cramps, and gastro-intestinal (GI) and pain symptoms (positively); b) plasma levels of haptoglobin (Hp), CCL5, insulin growth factor (IGF)-1, and plasminogen activator inhibitor (PAI)1 (all positively); and c) estradiol and paraoxonase (PON)1 arylesterase activity (both inversely). MsRS were significantly predicted by CCL5 and IGF-1 (both positively) and progesterone (inversely). Low-abdominal cramps, and gastro-intestinal and pain symptoms were associated with lower progesterone levels. The MBDI+MsRS score was significantly predicted by the cumulative effects of (in descending order of importance): Hp, IGF-1, PON1 arylesterase, estradiol and PAI.Conclusion: Menstruation-related features including estimated blood loss, duration of menses, cramps, pain, and gastro-intestinal symptoms are associated with hormone-immune-metabolic biomarkers, which mechanistically may explain those features. Future research should construct a cross-validated algorithm using MBDI+MsRS features in a larger study group to delineate a useful case-definition of menstruation-related distress. [ABSTRACT FROM AUTHOR]

Objective: To examine whether 1) immune and nitro-oxidative stress (IO&NS) biomarkers are associated with premenstrual syndrome (PMS); and 2) changes in IO&NS biomarkers during the menstrual cycle (MC) are associated with PMS symptoms and plasma estradiol and progesterone.Methods: This longitudinal study examined 41 women who completed the Daily Record of Severity of Problems (DRSP) rating scale during 28 consecutive days and assayed plasma levels of complement C3 and C4, highly sensitive C-reactive protein (hsCRP), haptoglobin (Hp), advanced oxidation protein products (AOPP), lipid hydroperoxides (LOOH), nitric oxide metabolites (NOx), total radical-trapping antioxidant parameter (TRAP), sulfhydryl (-SH) groups and the activity of paraoxonase (PON)1 at days 7 (D7), 14 (D14), 21 (D21) and 28 (D28) of the MC. MC Associated Syndrome (MCAS) was diagnosed when the summed DRSP score during the MC is >0.666 percentile.Results: All biomarkers, except hsCRP, showed significant alterations during the MC. Arylesterase (AREase) was lowered at D28, while LOOH increased at D14 and C4 at D21 in MCAS. Total DRSP scores were predicted by the combined effects of C4 (positively) and AREase and malondialdehyde (MDA) (both inversely associated). Progesterone lowered levels of LOOH, AOPP and C3 and estradiol lowered levels of Hp while both sex hormones increased 4-(chloromethyl)phenyl acetate (CMPA)ase and AREase activities and levels of -SH groups.Conclusion: PMS/MCAS is not accompanied by a peripheral inflammatory response. Lowered MDA and antioxidant defenses and increased C4 may play a role in MC symptoms while sex hormones may have a protective effect against oxidative stress toxicity. [ABSTRACT FROM AUTHOR]

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. • Immune-inflammatory and metabolic biomarkers were associated with changes in disability over time in multiple sclerosis. • Disability progression index was associated with changes in interleukin (IL)-17 (positively) and IL-4 (negatively). • Homocysteine, parathormone, IL-6 and IL-4 were positively associated with progressive clinical forms of multiple sclerosis. • Vitamin D was negatively associated with progressive clinical forms of multiple sclerosis. [ABSTRACT FROM AUTHOR]