Diabetes mellitus is a chronic metabolic disease that affects more than 10.5% of the world’s adult population. Biochemical and hematological parameters, such as albumin (ALB) and red cell distribution width (RDW), have been shown to be altered in diabetic patients. This study aimed to correlate hematological and biochemical parameters with glycated hemoglobin (HbA1c). A total of 777 adults (372 women and 405 men, aged 19–85 years) were divided into three groups: 218 participants with HbA1c < 5.7% (group A: non-diabetic), 226 with HbA1c ≥ 5.7% and <6.5% (group B: prediabetic) and 333 with HbA1c ≥ 6.5% (group C: diabetic). Biochemical and hematological parameters were compared among the three groups. An analysis of variance was performed to determine the correlations of the parameters among the groups. The ALB and sodium (Na) levels were significantly lower in group C than in groups A (ALB: 3.8 g/dL vs. 4.1 g/dL, p < 0.0001, Na: 138.4 mmol/L vs. 139.3 mmol/L, p < 0.001) and B (ALB: 3.8 g/dL vs. 4.0 g/dL, p < 0.0001, Na: 138.4 mmol/L vs. 139.6 mmol/L, p < 0.0001), whereas the RDW-standard deviation (RDW-SD) and urea were increased in group C as compared to group A (RDW: 45.8 vs. 43.9 fL, p < 0.0001, urea: 55.6 mg/dL vs. 38.5 mg/dL, p < 0.0001). The mean platelet volume (MPV) was increased in group C as compared to group A (9.3 fL vs. 9.1 fL, p < 0.05, respectively). Τhe increase in RDW-SD in group A as compared to B and C demonstrates the impact of hyperglycemia on red blood cells. Albumin and RDW might improve risk assessment for the development of diabetes. These results highlight the potential role of these parameters as an indication for prediabetes that would alert for measurement of HbA1c.

Background: Reactive oxygen species (ROS) are involved in the pathophysiology of neurodegeneration and cognitive decline, indicating the potential use of oxidative stress biomarkers for early diagnosis. Mild cognitive impairment (MCI) is defined as a cognitive decline beyond normal aging, without significant impact on daily functioning, and is considered an important stage of early detection of neurodegeneration. This study aimed to investigate serum and cerebrospinal fluid (CSF) levels of oxidative stress biomarkers, total ROS and malondialdehyde (MDA) in patients with MCI to evaluate their utility in the early diagnosis of Alzheimer’s disease (AD). Levels of oxidative stress biomarkers were also assessed according to age and sex, as well as their correlation with the established CSF biomarkers, including amyloid-beta (Aβ40, Aβ42 and Aβ42/Aβ40 ratio), phosphorylated tau protein (p-tau) and total tau (t-tau). Methods: A total of 114 adults were divided into three groups: MCI (A−) patients with a normal CSF Aβ42/Aβ40 ratio (n = 38), MCI (A+) patients with an abnormal Aβ42/Aβ40 ratio (n = 38) and healthy cognitive function individuals with a normal Aβ42/Aβ40 ratio (n = 38). Established CSF biomarkers were conducted using an automated immunochemical method, while total ROS levels were measured by fluorometry and MDA levels were determined by competitive inhibition enzyme immunoassay. Results: A statistically significant difference was observed in CSF MDA levels (p < 0.05) and serum ROS levels (p < 0.05) between the study groups. Sex analysis revealed significantly higher levels of CSF MDA levels in the MCI (A+) males’ group (p < 0.05). In terms of age categorization, serum MDA levels were markedly higher in the MCI (A+) group of older patients (p < 0.01). Conclusions: These findings highlight the importance of individualized approaches, including investigation of oxidative stress biomarkers profile to prevent and manage individuals in the early stages of MCI, considering demographic factors.

Mild cognitive impairment (MCI) is recognized as an intermediate stage between normal aging and dementia. Oxidative stress is implicated in the pathophysiology of neurodegenerative diseases, playing a crucial role. This study aimed to investigate the differences in malondialdehyde (MDA) levels in the serum and cerebrospinal fluid (CSF) of patients with MCI compared to FDA-approved biomarkers, based on age, sex, and education level. Participants aged 55–90 years old were categorized into three groups based on FDA-approved biomarkers, especially the CSF Aβ42/Aβ40 ratio and clinical screening assessments: 30 MCI (A+) patients with abnormal CSF Aβ42/Aβ40 ratios (Group A), 30 MCI (A−) patients with normal CSF Aβ42/Aβ40 ratios (Group B), and 30 healthy (A−) participants with normal CSF Aβ42/Aβ40 ratios (Group C). The measurements of CSF FDA-approved biomarkers were performed using an automated immunochemical method (Fujirebio, Inc.), while MDA determination was performed using a competitive inhibition enzyme immunoassay technique (ELK Biotechnology Co., Ltd.). Our results showed that the mean CSF MDA values were significantly lower in group C than in group A (83 ng/mL vs. 130 ng/mL, p = 0.024) and group B (83 ng/mL vs. 142 ng/mL, p = 0.011), respectively. Differences in serum and CSF MDA levels were presented in the study groups based on sex, age, and education level. These findings suggest that lipid peroxidation, as indicated by CSF MDA, could serve as a potential biomarker for the early recognition of MCI.

Rheumatoid arthritis (RA) is a well-known autoimmune inflammatory disease that affects the diarthrodial joints. Inflammation increases the production of reactive oxygen species (ROS), which may explain why RA is one of the diseases that induce oxidative stress. This study aimed to evaluate the potential differences in biochemical, hematological, and oxidative stress markers in the early stages of RA and after different treatment regimens. The study involved 111 patients, 28 men and 83 women aged 34 to 59 years, who were divided based on their c-reactive protein (CRP) levels into inactive RA patients (IRA) with CRP < 1.3 (n = 57, 22 men and 35 women) and active RA patients (ARA) with CRP ≥ 1.3 (n = 54, 6 men and 48 women). The study participants were divided into two groups, A and B, based on their treatment regimen. Group A, 90% of which were IRA patients, received methotrexate (MTX) monotherapy. Group B, which comprised 90% ARA patients, received a combination of leflunomide, a conventional disease-modifying antirheumatic drug (DMARD), and a biologic DMARD. The hematological, biochemical, oxidative stress, and RA-specific biomarkers were measured twice in groups A and B in the early stage of the disease, before and 3 months post-treatment, using conventional colorimetric, fluorometric, and immunological assays. According to the results of our study, glutathione peroxidase (GPx), ROS, calcium (Ca) and phosphorus (P) ions, vitamin C and D, and lipid profiles could serve as potential diagnostic markers in the early stages of the disease. Both treatment options were equally effective at improving the overall health of the patients. However, treatment resulted in a further increase in ROS levels and a decrease in antioxidant markers.

According to recent literature, there is a limited amount of data about the correlation of vitamin 25(OH)D, potassium (K), oxidative stress parameters, and other biomarkers with dyslipidemia, which is an established risk factor for cardiovascular diseases (CVDs). This study aims to investigate the correlation of lipid profile and atheromatic index TC/HDL with several biomarkers and oxidative stress parameters. A total of 102 volunteers, 67 with atheromatic index TC/HDL > 3.5 (Group A) and 35 with TC/HDL < 3.5 (Group B), aged from 26 to 78 years, participated in this study. Serum levels of triglycerides (TG), total cholesterol (TC), low- and high-density lipoproteins (LDL and HDL), vitamin 25(OH)D [25(OH)D], potassium (K), sodium (Na), lactose dehydrogenase (LDH), liver enzymes including serum glutamic oxaloacetic and glutamic pyruvic transaminases (SGOT and SGPT), gamma-glutamyl transferase (γ-GT), and alkaline phosphatase (ALP) were analyzed using standard photometric methods. Oxidative stress parameters such as reactive oxygen species (ROS) were detected with fluorometric methods, whereas total oxidative (TOS) and antioxidative status (TAS) were measured with spectrophotometric methods. According to the results, negative correlations of HDL (r = −0.593) and 25(OH)D (r = −0.340) and K (r = −0.220) were found, and positive expected correlations of LDL (r = 0.731), TC (r = 0.663), and TG (r = 0.584) with atheromatic index in the total studied sample were found. In conclusion, patients with a dyslipidemic profile should frequently check not only their lipid profile but also other biomarkers such as 25(OH)D, potassium, and oxidative stress markers to predict dyslipidemia and avoid subsequent disorders.

Diabetes mellitus is a chronic metabolic disease that affects over 10.5 percent of the global adult population. Biochemical and hematological parameters such as albumin (ALB) and red cell dis-tribution width (RDW) have been shown to be altered in diabetic patients. This study aims to cor-relate hematological and biochemical parameters with glycated hemoglobin (HbA1c). 777 adult individuals (372 women and 405 men, aged 19-85 years) were divided into three groups: 218 par-ticipants with HbA1c < 5.7% (group A: non diabetic), 226 with HbA1c ≥ 5.7% and < 6.5% (group B: prediabetic) and 333 with HbA1c ≥ 6.4% (group C: diabetic). Biochemical and hematological parameters were compared among the 3 groups. Analysis of variance was performed to deter-mine the correlations of the parameters among groups. ALB and sodium (Na) levels were signifi-cantly decreased in group C compared to groups A (ALB: 3.8 g/dL vs. 4.1 g/dL, p < 0.0001, Na: 138.4 mmol/L vs. 139.3 mmol/L, p < 0.001), and B (ALB: 3.8 g/dL vs. 4.0 g/dL, p < 0.0001, Na: 138.4 mmol/L vs. 139.6 mmol/L, p < 0.0001), while RDW-standard deviation (RDW-SD) and urea were increased in group C compared to group A ( RDW: 45.8 vs. 43.9 fL, p < 0.0001, Urea: 55.6 mg/dL vs. 38.5 mg/dL, p < 0.0001) . Mean platelet volume (MPV) was increased in group C com-pared to group A (9.3 fL vs. 9.1 fL, p < 0.05, respectively). Τhe increase of RDW-SD from group A towards B and C demonstrates the impact of hyperglycemia on red blood cells. RDW may be re-garded as a potential innovative biomarker for improving risk assessment of developing diabetes. These results highlight the potential role of these parameters as an indication for prediabetes that would alert for measurement of HbA1c.