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Background: Epilepsy is a chronic neurological disorder frequently influenced by systemic inflammation, nutritional status, and comorbid conditions, which may worsen seizure outcomes. Given the increasing recognition of these factors in disease progression, this study aimed to investigate the relationship between the Modified Charlson Comorbidity Index (mCCI), inflammatory hematological parameters, and the prognostic nutritional index (PNI) with seizure frequency and clinical prognosis in patients with epilepsy. Methods: A total of 159 participants were enrolled between January 2021 and January 2023, including 53 healthy controls (mean age: 44 ± 14.2 years; female: 21, male: 32), 53 epilepsy patients without comorbidity (mean age: 33 ± 12.5 years; female: 28, male: 25), and 53 epilepsy patients with comorbidities (mean age: 56.2 ± 13.8 years; female: 22, male: 31). The participants were divided into three groups: 53 patients with isolated epilepsy, 53 patients with epilepsy and comorbid conditions, and 53 healthy individuals with no known diseases, matched for age and sex with the patient groups, who presented for routine check-ups. The mCCI was calculated for patients with comorbid epilepsy. Inflammatory hematological parameters and the PNI were assessed in all participants using previously obtained complete blood count data. Results: Inflammatory markers such as white blood cell count, neutrophil count, C-reactive protein (CRP), platelet-to-lymphocyte ratio (PLR), neutrophil-to-lymphocyte ratio (NLR), systemic immune-inflammation index (SII), and mean platelet distribution width (PDW) were significantly higher in epilepsy patients with comorbidities compared to other groups. Epilepsy patients with comorbidities had a higher seizure frequency compared to those without comorbidities (75.5% vs. 54.7%, p < 0.001). The PNI was lowest in epilepsy patients with comorbidities, showing a significant difference between all groups (p < 0.001). High comorbidity burden increased seizure risk by 4.56 times (95% CI: 1.30–16.01), each unit increase in the SII raised the risk by 1.13 times (95% CI: 1.08–1.19), and each unit decrease in the PNI increased the risk by 1.14 times (OR = 0.88, p < 0.001). Cerebrovascular disease and hemiplegia were also significant risk factors, increasing seizure risk by 4.15 and 4.48 times, respectively. Conclusions: Our study demonstrates that inflammatory hematological parameters, particularly SII and MCCI scores, are elevated in epilepsy patients and further increase with comorbidities. These markers are strongly associated with seizure occurrence, highlighting the prognostic significance of systemic inflammation and comorbidity burden in epilepsy. Given the frequent observation of low PNI values in patients with comorbid conditions, which may reflect compromised nutritional status, and given associations suggest a role in poor clinical outcomes, comprehensive management is essential. Monitoring the PNI and SII may help stratify high-risk patients for targeted nutritional and anti-inflammatory interventions.

Background: The optimal use of oxygen at greater than atmospheric pressures in any operational or therapeutic application (hyperbaric oxygen, HBO2) requires awareness of the fact that the beneficial effects of oxygen coexist with toxic effects depending on the pressure and duration of exposure. In this study, we aimed to investigate the effect of HBO2 therapy on oxidative stress and antioxidant status in commonly used protocol for acute HBO2 indications, such as carbon monoxide intoxication, central retinal artery occlusion, crush injury, gas gangrene, and to compare it with normobaric oxygen (NBO2) in healthy rats. Materials and Methods: Fifty-six male, young adult Wistar albino rats were randomly divided into seven groups and named as Group I through Group VII. Plasma malondialdehyde (MDA), superoxide dismutase (SOD), and erythrocyte glutathione (GSH) levels in control group were compared to the levels in other groups. Results: The increases in MDA levels and the decrease in SOD activities were statistically significant in HBO2 groups at the end of the first 24 h when compared to the control group, and the significant decrease in erythrocyte GSH level was only at 2.4 atmospheres absolute. Conclusions: The present study showed that pressure and frequency of exposure are important factors to consider when investigating HBO2-induced oxidative stress and antioxidant response.

Biomarkers in Medicine is a comprehensive guide to understanding the current and future status of biomarkers. The book features 27 chapters focusing on disease biomarkers for diseases such as cancer, neurodegenerative diseases, cardiac diseases, metabolic conditions and much more. This book supplies readers with the unique insight of experts in multiple specialties in medicine and life sciences who have extensive experience in diagnostics and clinical laboratories. The book includes case studies and practical examples from different classes of biomarkers on different platforms, including new data for biomarkers in different therapeutic indications. In addition to presenting biomarker information, each chapter covers the relevant pathology and also emphasizes on preclinical and clinical manifestation of the disease process. Clinicians managing patients or clinical trials, clinical researchers, clinical laboratories, diagnostic companies, regulatory agencies, medical school graduate students, academic students, and the general public involved in healthcare delivery will all benefit from information presented in this book.

Background and Objectives: The myocardial performance index (MPI) is a diagnostic tool that assesses both the systolic and diastolic function of ventricles. The MPI provides a comprehensive view of the overall efficiency of the heart’s pumping ability, making it a valuable tool for detecting early signs of heart dysfunction, even in the absence of overt symptoms. In this regard, we aimed to explore the relationship between the triglyceride–glucose (TyG) index and subclinical heart failure (HF), as well as its correlation with the MPI, in asymptomatic patients visiting a routine cardiology outpatient clinic. The study specifically excluded individuals with known diabetes, hypertension, and HF, focusing instead on those who had undergone 12 h fasting blood glucose (FBG) and triglyceride (TG) tests. Materials and Methods: The study included 125 patients with FBG, TG, total cholesterol (TC), low-density lipoprotein cholesterol (LDL-C), and high-density lipoprotein cholesterol (HDL-C) data after the exclusion criteria were applied. Results: When asymptomatic patients were categorized as MPI normal or MPI (+) subjects, significant differences were found between the groups in terms of body mass index (BMI), metabolic syndrome (MetS) components, and serum TG values. Pearson correlation analysis revealed a significant and positive correlation between the MPI and TyG index (r = 0.358, p < 0.001). Regression analysis was used to determine the effective parameters in subclinical left ventricular dysfunction (SCLVD). In univariate regression analysis, obesity, the presence of MetS, serum TG, and the TyG index were identified as risk factors. In multivariate regression analysis, the TyG index was found to be the independent risk factor. Conclusions: The positive association found between the MPI and TyG index suggests a link with metabolic disorders and myocardial performance. Obesity, the presence of MetS, serum TG, and the TyG index were identified as risk factors for SCLVD in asymptomatic patients. Notably, the TyG index was identified as an independent risk factor for SCLVD, highlighting its potential role in the early identification and risk stratification of individuals at risk for cardiac dysfunction. These findings suggest that monitoring the TyG index could provide valuable insights into subclinical heart dysfunction, particularly in patients with metabolic abnormalities.

Background and Objectives: Acute pancreatitis (AP) is an inflammatory disorder of the pancreas, with severe cases linked to a higher mortality rate. The prognosis of AP is influenced by factors such as necrosis, secondary infections, and organ failure. Tissue damage in AP is driven by the activation of leukocytes and the release of inflammatory mediators. Angiopoietin-like protein 8 (ANGPTL8), also known as betatrophin, is a recently discovered protein that regulates lipid metabolism. This study aimed to investigate the relationship between ANGPTL8 levels and disease severity in AP patients, and to explore the potential of ANGPTL8 as a biomarker. Materials and Methods: This prospective study included 50 patients diagnosed with AP who were admitted to the Department of Internal Medicine at Dr. Cemil Taşcıoğlu City Hospital between September 2021 and February 2022. Additionally, 39 healthy volunteers who underwent a check-up at the same hospital served as the control group. The Glasgow–Imrie (GI) score was used to assess the severity of pancreatitis. Results: ANGPTL8 levels were found to be significantly lower in the AP group compared to the control group, with a statistically significant correlation between ANGPTL8 levels and the severity of AP (p < 0.05). The cut-off level of ANGPTL8 based on the GI score was determined to be 70.9 ng/L. The GI score for ANGPTL8 was 0.749 (95% CI: 0.606–0.861) (p < 0.001). The overall cut-off value for ANGPTL8 was 179.2 ng/L, with an overall classification rate of 0.936 (95% CI: 0.864–0.977) (p < 0.001). Conclusions: This study demonstrates that ANGPTL8 levels vary between patients with and without AP, with lower levels observed in AP patients. Our research is the first to identify decreased ANGPTL8 levels as an independent predictor of AP severity. ANGPTL8 may play a crucial role in regulating inflammation or metabolic dysfunction in AP. However, further studies are needed to confirm these findings in larger populations and investigate ANGPTL8’s mechanistic role in AP. Longitudinal studies could help determine whether ANGPTL8 levels act as a biomarker for disease progression or treatment response, potentially paving the way for targeted therapies to improve outcomes for AP patients.

This study aimed to determine the relationship between nutritional status and systemic inflammation using four validated nutrition indices-Hemoglobin, Albumin, Lymphocyte, and Platelet (HALP) score, Prognostic Nutritional Index (PNI), Controlling Nutritional Status (CONUT) score, and Nutritional Risk Index (NRI)-and three immune-inflammation biomarkers-Systemic Immune-Inflammation Index (SII), neutrophil-to-lymphocyte ratio (NLR), and platelet-to-lymphocyte ratio (PLR)-in healthy adults with varying body mass index (BMI) levels. This retrospective study included 290 clinically healthy adults aged 18-60 years, categorized by BMI. Individuals with chronic diseases, medication use, or morbid obesity (BMI ≥ 40 kg/m ) were excluded. Nutrition scores (HALP, PNI, NRI, CONUT) and systemic immune-inflammation indices (SII, NLR, PLR) were calculated from laboratory data. For the comparisons of SII, PLR, NLR, PNI, HALP, NRI, and CONUT values between groups, age was adjusted for, and an ANCOVA test was performed. Among the systemic immune-inflammation indices, SII and NLR were significantly higher in both the overweight and obesity groups. The CONUT score, a negative indicator of nutritional status, demonstrated positive correlations with SII, NLR, and PLR in the overweight group, and with PLR in the obesity group. Although PNI showed significant inverse correlations with SII, PLR, and NLR in both groups, the mean PNI values remained above 50, indicating overall normal nutritional status in the study population. HALP was inversely correlated with SII, PLR, and NLR in both groups. The HALP score appears to be the most reliable marker, as it reflects the inverse relationship between nutritional status and systemic immune-inflammation indices.

Chronic obstructive pulmonary disease (COPD) is influenced by genetic and environmental factors. A protease-antiprotease imbalance has been suggested as a possible pathogenic mechanism for COPD. Here, we examined the relationship between circulating serpina3g, matrix metalloproteinase-9 (MMP-9), and tissue inhibitor of metalloproteinase-1 and -2 (TIMP-1 and -2, respectively) and severity of COPD. We included 150 stable COPD patients and 35 control subjects in the study. The COPD patients were classified into four groups (I, II, III, and IV), according to the Global Initiative for Chronic Obstructive Lung Disease (GOLD) guidelines based on the severity of symptoms and the exacerbation risk. Plasma serpina3g, MMP-9, and TIMP-1 and -2 concentrations were significantly higher in the all patients than in control subjects. Plasma serpina3g, MMP-9, and TIMP-1 and -2 concentrations were significantly higher in groups III and IV than in groups I and II. A negative correlation between serpina3g, MMP-9, and TIMP-1 and -2 levels and the forced expiratory volume in 1 s (FEV1) was observed. MMP-9 concentration and the MMP-9/TIMP-1 ratio were higher in patients with emphysema than in other phenotypes (both with p < 0.01). The findings of this study suggest that circulating serpina3g, MMP-9, and TIMP-1 and -2 levels may play an important role in airway remodeling in COPD pathogenesis. Disrupted protease-antiprotease imbalance in patients with COPD is related to the presence of airway injury. MMP-9 concentration and the MMP-9/TIMP-1 ratio are the best predictors of emphysema in COPD patients.

Background There is still much unknown about the relationship between hematological parameters and vitamin D status in newborns. The aim of the study is to evaluate the relationship between 25(OH)D3 (vitamin D) status and new defined systemic inflammatory markers neutrophil to lymphocyte ratio (NLR), lymphocyte to monocyte ratio (LMR), and platelet to lymphocyte ratio (PLR) in newborns. Methods One hundred newborns were enrolled in the study. Serum vitamin D status, below < 12 ng/mL (< 30 nmol/L) as deficient, 12–20 ng/mL (30–50 nmol/L) as insufficient, and > 20 ng/mL (> 50 nmol/L) was considered as sufficient. Results Parallel to maternal and newborn vitamin D status were also statistically different between the groups ( p  < 0.05). Moreover, there was a statistically significant difference was found between the deficient, sufficient and insufficient groups in terms of newborn hemoglobin, neutrophil, monocytes, NLR, PLT, PLR and neutrophil to monocyte ratio (NMR) ( p  < 0.05, in all). There was also a positive correlation between maternal and newborn vitamin D status ( r  = 0.975, p  = 0.000). The newborn NLR were negative correlated with newborn vitamin D status ( r  = -0.616, p  = 0.000). Conclusions The results of this study suggest that there may be potential new biomarkers to predict inflammation associated with the inflammatory state that may arise due to changes in NLR, LMR, and PLR in vitamin D deficiency in newborns. NLR and other hematologic indices may be non-invasive, simple, easily measurable, cost-effective markers of inflammation in newborns.

Objectives: HbA1c is the most widely used test as an indicator of glucoregulation in patients with type 2 diabetes mellitus (T2DM). Asprosin and oxidative stress levels can be reduced with good glycemic control (GC) and thus prevented or delayed micro/macro complications in patients with T2DM. The relationship between asprosin, which is thought to affect GC, and oxidative stress parameters such as lipid hydroperoxides (LOOHs), glutathione (GSH), malondialdehyde (MDA), superoxide dismutase (Cu,Zn-SOD), and total antioxidant capacity (TAC) was evaluated in T2DM patients. Materials and Methods: The study was conducted prospectively in 75 healthy people admitted to the hospital for a general health check-up and 150 T2DM patients treated in the diabetes outpatient clinic. The patient’s glycemic status measurements were categorized as good glycemic control group (GGC) is defined as HbA1c < 7 and poor glycemic control (PGC) group is defined as HbA1c ≥ 7. Results: The study found a consistent increase in LOOH and MDA levels across the control, GGC, and PGC groups, while GSH, Cu/Zn-SOD, and TAC levels decreased in these respective groups. Additionally, asprosin levels showed a gradual rise in all groups. Positive correlations were observed between asprosin levels and various metabolic and oxidative stress markers, including BMI, WC, FBG, insulin, homeostasis model assessment for insulin resistance (HOMA-IR), DM duration, LOOH, and MDA, while negative correlations were noted with GSH, Cu/Zn-SOD, and TAC specifically in the PGC group. Furthermore, multivariate regression analysis identified HOMA-IR as the primary influencing factor on asprosin levels in PGC patients. Conclusions: Current glycemic dysregulation may lead to increased circulating asprosin and oxidative stress, which cause complications. Since asprosin levels may be an important hormonal factor in determining GC in T2DM, the use of this hormone may be recommended in the future to accelerate therapeutic approaches in T2DM. Early diagnosis and appropriate treatment may delay the development and progression of diabetic complications.

Objectives: Sex-based disparities in COVID-19 outcomes are well-documented, with men experiencing greater acute severity and women showing increased vulnerability to post-viral syndromes. However, longitudinal immunometabolic trajectories in vaccinated individuals remain underexplored. In this study, sex-based differences in long-term metabolic, endocrine, renal, cardiovascular, and inflammatory responses were investigated among vaccinated individuals recovering from SARS-CoV-2 infection. Methods: This retrospective single-center cohort study included 426 adults (199 females, 227 males) with PCR-confirmed symptomatic COVID-19 and at least two vaccine doses. Serial assessments were conducted at baseline, 18-, 24-, and 30-month post-infection. Parameters included fasting glucose, HbA1c, lipid profile, thyroid function, renal markers, CRP, D-dimer, fibrinogen, troponin, and hematologic indices. Statistical analyses assessed longitudinal changes and sex-stratified correlations. Results: Fasting glucose and HbA1c levels significantly declined over time, more prominently in males. Glucose correlated with age and BMI only in females. Lipid levels remained largely unchanged, although males had higher baseline triglycerides. Females showed rising TSH levels and persistently lower free T3; males exhibited higher creatinine, urea, and troponin levels throughout. Inflammatory markers declined significantly in both sexes, with males displaying higher CRP and troponin, and females showing sustained fibrinogen elevation and a temporary lymphocyte surge. D-dimer was elevated in females at the 30-month point. Conclusions: Sex-specific physiological recovery patterns were evident among vaccinated COVID-19 survivors. Males exhibited earlier metabolic and cardiac alterations, while females had more persistent endocrine and inflammatory shifts. These findings underscore the need for sex-tailored long-term monitoring strategies prioritizing early metabolic and cardiac screening in men and prolonged immunoendocrine surveillance in women.