7 articles
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.
Age-related macular degeneration is a multifactorial, polyetiological condition, affecting individuals over the age of 50, primarily characterized by progressive and irreversible loss of central vision. In the pursuit of a deeper understanding of its etiopathogenesis, risk factors, associated biomarkers, and diagnostic metabolites, the omics approach plays an essential role. The primary objective of this study was to evaluate selected omics biomarkers along with hematological and clinical data and to establish their correlations with macular degeneration,
A pilot retrospective study was conducted, analyzing medical records of 80 patients admitted to the Ophthalmology Department of the Timofei Moșneaga Republican Clinical Hospital. Laboratory parameters were assessed and statistically analyzed using the Statistical Package for the Social Sciences. Statistical methods included binomial tests, Wilcoxon Signed-Rank tests, and One-sample tests. The data obtained were compared with the results of a comprehensive analysis of the latest scientific literature on age-related macular degeneration.
Omics approach analysis, particularly proteomic and metabolomic analyses, has contributed significantly to the identification of metabolic pathways involved in age-related macular degeneration pathogenesis, facilitating the investigation of novel biomarkers for early diagnosis and potential therapeutic targets. In our pilot study, we evaluated clinical and biochemical data, including age, sex, laboratory values, and comorbidities, and compared them with currently published research data. Statistically significant biomarkers identified included glucose, triglycerides, prothrombin, fibrinogen, platelet count, and leukocyte count. Partially significant (dual) biomarkers included total cholesterol, erythrocyte sedimentation rate, and lymphocyte count. No statistical significance was observed for HDL-cholesterol, LDL-cholesterol, and international normalized ratio.
Omics approach represents a promising avenue for monitoring, diagnosing, and potentially treating age-related macular degeneration. By identifying key biomarkers, this approach supports early detection and opens the path for advanced therapeutic strategies such as gene therapy, cell-based treatments, complement pathway inhibitors, and nanotechnology-based interventions.
Thrombosis is a frequently underdiagnosed condition associated with high mortality in neglected cases. Many factors, including geoheliophysical and biochemical ones, are responsible for thrombosis modulation. Routine investigations may sometimes be inconsistent and, thus, unreliable in a clinical setting.
Data were collected from patients treated in the Department of Vascular Surgery at the ‘Timofei Moșneaga’ Republican Clinical Hospital, Chișinău, Republic of Moldova. A total of 1,865 patients were initially included in the study. After applying rigorous inclusion and exclusion criteria, 263 eligible patients were identified, and their complete blood counts and biochemical reports were retrospectively analyzed.
The analysis revealed increased mean values for absolute polymorphonuclear neutrophils, absolute monocytes, erythrocyte sedimentation rate (ESR), and glucose. The median values of these indicators, except for absolute polymorphonuclear neutrophils and ESR in female patients, were also elevated above normal ranges. Significant Pearson and Spearman correlations were identified among the analyzed indicators, and a binary logistic regression model was constructed using the most statistically significant variables.
Usual mathematical models that outline thrombosis consider deep vein thrombosis without a sustainable arterial assessment. The sensitivity of our model is lower than that of the D-dimer, while the specificity is almost the same. Platelets and clotting tests are well-known, reliable indicators; however, novel contemporary augmentations to these may, in turn, increase the predictive capability of our model if applied. This study has its limitations due to the lack of variance in the variance inflation factors (VIF), preventing the evaluation of multicollinearity among the included biomarkers.
The mathematical model developed in this study shows potential for further clinical application; however, additional research, validation, and the incorporation of non-biochemical indicators may be necessary to enhance its predictive accuracy.
Arterial and venous thromboembolism is a disease with a high impact on morbidity and mortality. Their pathological mechanisms of aggregation directed by the clotting factors along with the variations in clinical manifestation are regarded to a high moiety of genetic polymorphisms along with a wide diversity of comorbidities.
A comprehensive literature review was conducted, which included a total of 119 sources. Among these, 60 sources were systematically collected, while the remaining 59 sources were selected through non-systematic methods.
We have identified different treatment options that regard both the venous or arterial thromboembolism in contrast with numerous pathogenetic outcomes, population groups along with biomarkers that significantly modify the clinical aspects of the therapeutical and post-clinical treatment aspect. At the moment its diagnosis is continuously improving worldwide, taking into consideration a high diversity of experts’ opinions with a wide practical experience.
Arterial and venous thromboembolisms are serious medical conditions that can be prevented and effectively managed with modern diagnostic and therapeutic techniques.
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.
Peripheral biomarkers have numerous uses in the treatment, prognosis, and pharmacovigilance of epilepsy. Unfortunately, no peripheral biomarker has demonstrated proven efficacy, although several options are being investigated. In this article, we want to analyze the main areas in which peripheral biomarkers can present their usefulness, including participation in the processes of inflammation, dysfunction of the blood-brain barrier, changes in metabolism, hormones, and growth factors.
Publications on diagnostic biomarkers of epilepsy were reviewed. References were identified by PubMed, MEDLINE and Scopus search until June 2022, with various combinations of the terms – „epilepsy”, „seizures”, „epileptogenesis”, „biomarkers”, „neuroimaging”, „inflammation”, „status epilepticus”, „prognosis”. A qualitative and analytical study was performed focused on primary studies published in 2020-2022. More than 85 sources were identified and 33 were selected for analysis from the PubMed, MEDLINE, and Scopus online databases. 12 articles, 5 clinical trials, 2 meta-analyses, 7 reviews, and 7 systematic reviews were identified.
Screening articles from online databases according to the search criteria, we found 258 titles on molecular and cellular biomarkers in epilepsy highlighted. The final bibliography included 33 sources that summarized that biomarkers of epileptogenesis are expensive and difficult to research, but the identification of biomarkers specific to the entire epileptogenic process, in close proximity to neuronal damage, have demonstrated the possibility of predicting the risk of seizures, epilepsy and resistance to treatment.
Epilepsy remains a continuous area of research; a special role is occupied by specific biomarkers of great clinical importance, being necessary for the prognosis of the disease, the risk of neurological sequelae, refractory to anti-epileptic drugs. Thus, their identification could have a significant impact on the clinical course of the disease.
Due to the heterogeneous nature of systemic sclerosis, it is difficult to predict disease progression and complications. Despite the discovery of novel autoantibodies associated with systemic sclerosis (SSc), there is an unmet need for biomarkers for diagnosis, disease progression, and response to treatment.
An analytical, qualitative study was performed with a narrative review of literature in the form of a synthesis article. Relevant primary sources published in 2020-2022 were identified and selected, using data extraction and analysis.
Anti-citrullinated protein/peptide antibody could be useful in identifying patients with a more prominent joint disease. Of most interest, the anti-carbamylated protein antibodies (anti-CarP) could be a relevant biomarker related to fibrotic skin and lung disease. Positive anti-RNA (Ribonucleic acid) polymerase III antibody and antinuclear antibodies (ANA) negativity were significantly associated with GAVE (gastral antral vascular ectasia). Autoantibodies against telomeres may help identify systemic sclerosis with lung disease. Osteopontin links myeloid activation and disease progression in systemic sclerosis. CTRP (C1q tumor necrosis factor-related proteins) 9 protein levels may be biomarker of lung disease severity. CD (cluster differentiation) 21-low B cells are linked to vascular damage. L-tyrosine, L-tryptophan, and 1-methyl-adenosine distinguished healthy controls from SSc patients. L-leucine, L-isoleucine, xanthosine, and adenosine monophosphate differentiated between progressing and stable SSc-ILD. CECs (circulating endothelial cells) are a direct indicator of systemic vascular damage. Levels of the protein, galectin-3, are associated with heart involvement in people with systemic sclerosis. Low levels of the galectin-10 protein (Gal-10) in scleroderma associate with inflammation and vascular changes in the lungs, leading to pulmonary arterial hypertension (PAH). High levels of the CD146 protein may be a potential biomarker in identifying people with systemic sclerosis. Blood levels of the protein endocan increased in scleroderma patients who are at risk for pulmonary arterial hypertension . FLCs (free light chain) could be employed as useful potential biomarker of early diagnosis and to follow disease activity.
Novel discovered biomarkers could predict disease development, activity, and severity of diverse organ involvement, predict risk of complications of systemic sclerosis.