3 articles
Systemic rheumatoid vasculitis accounts for 1 to 5% of complications seen in rheumatoid arthritis, while autopsy studies report an average of 23% incidence. This enormous difference in numbers emphasizes the rate of misdiagnosis or underdiagnosis of systemic rheumatoid vasculitis. It mainly affects people with a median age of 65 years. It is particularly noteworthy, as systemic rheumatoid vasculitis has a high mortality and relapse rate. Also, the multifactorial aetiology: cytokines/immune cells and other particles determines clinical complexity of this type of angiitis.
A comprehensive literature search of articles published since 1996 was conducted using MEDLINE via PubMed and HINARI. The search included terms such as "rheumatoid vasculitis", "rheumatoid arthritis", and "endothelial dysfunction", focusing on mechanisms driving vascular damage. A total of 217 relevant sources were identified, including original studies, reviews, and book chapters. The study evaluated pathogenic factors like cytokines, immune complexes, and systemic inflammation, highlighting their roles in endothelial dysfunction and hypercoagulability.
The main pathogenetic factors in systemic rheumatoid vasculitis were immune complexes, cytokines (IL-6/TNF-α and IL-17), immune and blood cells (CD20/TH17/Platelets) and others (microparticles, blood rheology modifications). Even though, taken separately, those factors appear to have little to no impact on vascular endothelium, their synergistic effect lead to significant endothelial damage.
To conclude, each disease has its own pathogenetic factors which determine the natural course of this pathology. Understanding these mechanisms plays an important role for clinicians helping them to diagnose and effective treatment. Taking into consideration the relationships between specific factors in rheumatoid angiitis, we can make more specific decisions for its diagnosis and treatment. We can also use the pathophysiology of systemic rheumatoid vasculitis as a foundation for developing prevention measures.
This study investigates the relationship between immune dysregulation and perinatal mental disorders by analyzing clinical data and biomarker profiles in pregnant individuals with varying severity of psychiatric symptoms. Understanding these associations may support the development of early screening tools and targeted interventions to improve maternal and infant mental health outcomes.
A comprehensive literature review was conducted using PubMed, MEDLINE, and Scopus, covering studies published through 2025. Key proinflammatory and anti-inflammatory cytokines, including IL-6, TNF-α, IL-1β, CRP, IL-8, and IL-10, were extracted from peer-reviewed articles. When numerical values were unavailable, data were estimated from published figures using digitization tools. Extracted data were standardized and analyzed using Python (Pandas, Matplotlib). Statistical procedures included correlation analysis, ROC curve modelling, and ANOVA testing to assess group differences and diagnostic performance of biomarkers.
Analysis revealed strong associations between cytokine levels and perinatal depressive symptoms. In one dataset, nine cytokines were inversely correlated with postpartum depression severity (Pearson r = –0.79, p = 0.004; Spearman rₛ = –0.87, p = 0.00085; Kendall τ = –0.72, p = 0.0031), and ANOVA confirmed significant group differences (F = 5.8, p = 0.022). Other studies reported elevated IL-6 and TNF-α levels in postpartum depression (p < 0.05). Co-expression of IL-2, IL-6, IL-8, and TNF-α was very high (r = 0.9991, p = 0.00006), likely reflecting cytokine collinearity and limited sample size, with ANOVA indicating significant elevation in affected individuals (F = 45.42, p = 0.0151). ROC analyses identified IL-8, IL-6, CRP, and TNF-α as reliable markers of perinatal depression and psychosis. Tryptophan metabolites and MCP-1 were more specific for psychosis, while IFN-γ showed a regulatory rather than a diagnostic function.
Perinatal mental disorders are associated with significant immune alterations. IL-6, IL-8, IL-2, and TNF-α appear to play a central role in the pathophysiology of postpartum depression. The findings support the utility of cytokine profiling for early detection and differential diagnosis of perinatal psychiatric conditions.
Premature birth can occur at any age; however, it is important to note that the risk of preterm birth can vary based on several factors, including the mother's medical history, general health, and lifestyle. There is thought to be a relationship between maternal age and the risk of preterm birth, although the exact nature of this relationship may vary. At the same time, it is considered for ages over 35, an increased risk factor for the evolution of pregnancies with complications. Pregnant women over 35 face a higher risk of premature birth. This increased risk may be associated with age-related factors such as underlying health conditions, higher rates of multiple pregnancies (due to fertility treatments), and potential placental dysfunction.
In the given study, the biomarkers IL-6, IL-8, IL-10, IL-12, SDF-1α and VEGF in amniotic fluid (AF) and maternal blood were investigated, considering the above as predictive of premature birth outcome. At the same time, the oxidative stress status of maternal blood and amniotic fluid collected in the second trimester of pregnancy was identified.
In the research, we obtained statistically significant increases in the biomarkers AAT-isopropyl, G-GTP, HPL-isopropyl from the amniotic fluid taken from pregnant women over 35 years of age in the second trimester of pregnancy in those pregnant women who had a preterm birth. In the serum of pregnant women with premature birth, an increase in the concentration of carnosine-histidine peptides, G-GTP, GR and SH (thiol) groups was identified, and the decrease in the values of SDF 1α, HPL – hexane and IL-12 were statistically significant in the serum pregnant women compared to that of the amniotic fluid.
Identifying the values of biochemical mediators during pregnancy can be a method of predictive diagnosis
Our study shows the relationship between some concentrations of oxidative stress biomarkers (AAT-isopropyl, HPL-isopropyl and G-GTP, IL-12) in amniotic fluid, and values of (Carnosine Histidine Peptide, GR and SH and SDF-1α) in the serum of pregnant women, in the second trimester of pregnancy.