Role of apoptotic protease activating factor-1 in CD4+ depletion during HIV progression.

Objective: This study investigates the role of Apoptotic Protease Activating Factor-1 (APAF-1) in CD4+ cell depletion among human immunodeficiency virus (HIV) patients. Materials and Methods: This is a cross-sectional study in which 105 participants were enrolled, including 60 confirmed HIV-positive patients and 45 HIV-negative controls. HIV-positive patients were further divided based on CD4+ cell counts: Group 1 (<200), Group 2 (200-499), and Group 3 (≥500). An enzyme-linked immunoassay was used to measure APAF-1 levels, and CD4+ T-cell counts were enumerated using a Cyflow counter. Independent student's t-test, Kruskal-Wallis, and Spearman's correlation were utilized as needed. Results: Results showed significant reductions in lymphocytes, platelets, red blood cells, hemoglobin, albumin, and CD4+ cell values among HIV-infected individuals compared to controls. Conversely, APAF-1 and total protein levels were elevated in HIV-positive patients. Among HIV-positive groups, those with CD4+ cell counts <200 exhibited the highest median serum APAF-1 concentration. However, these differences were not statistically significant when compared with the other seropositive groups with CD4+ cell counts between 200 and 499 (P = 0.6726) and CD4+ cell counts of 500 or greater (P = 0.4325). The control group had the lowest median SAPAF-1 concentration, significantly different from HIV-positive groups. Positive correlations were observed between CD4+ counts and lymphocytes, hemoglobin, and hypoalbuminemia, while negative correlations were found between these parameters and APAF-1 levels. Conclusion: APAF-1 is a host factor that potentially contributes to CD4+ cell depletion. Similarly, APAF-1, serum total protein, and albumin levels were found to be predictive of disease progression and could serve as valuable diagnostic biomarkers in the monitoring of HIV/AIDS.

Predictive model for early detection of type 2 diabetes using patients' clinical symptoms, demographic features, and knowledge of diabetes.

Background and Aims: With the global rise in type 2 diabetes, predictive modeling has become crucial for early detection, particularly in populations with low routine medical checkup profiles. This study aimed to develop a predictive model for type 2 diabetes using health check-up data focusing on clinical details, demographic features, biochemical markers, and diabetes knowledge. Methods: Data from 444 Nigerian patients were collected and analysed. We used 80% of this data set for training, and the remaining 20% for testing. Multivariable penalized logistic regression was employed to predict the disease onset, incorporating waist-hip ratio (WHR), triglycerides (TG), catalase, and atherogenic indices of plasma (AIP). Results: The predictive model demonstrated high accuracy, with an area under the curve of 99% (95% CI = 97%-100%) for the training set and 94% (95% CI = 89%-99%) for the test set. Notably, an increase in WHR (adjusted odds ratio [AOR] = 70.35; 95% CI = 10.04-493.1, p-value < 0.001) and elevated AIP (AOR = 4.55; 95% CI = 1.48-13.95, p-value = 0.008) levels were significantly associated with a higher risk of type 2 diabetes, while higher catalase levels (AOR = 0.33; 95% CI = 0.22-0.49, p < 0.001) correlated with a decreased risk. In contrast, TG levels (AOR = 1.04; 95% CI = 0.40-2.71, p-value = 0.94) were not associated with the disease. Conclusion: This study emphasizes the importance of using distinct clinical and biochemical markers for early type 2 diabetes detection in Nigeria, reflecting global trends in diabetes modeling, and highlighting the need for context-specific methods. The development of a web application based on these results aims to facilitate the early identification of individuals at risk, potentially reducing health complications, and improving diabetes management strategies in diverse settings.

Assessment of iron status and interplay between lipid peroxidation and antioxidant capacity in common hemoglobin variants in Osun State, southwestern Nigeria.

Hemoglobin (Hb) and iron are prooxidants in nature and sources of free radicals in the biological system of all Hb phenotypes. Recent evidence linked abnormal hemoglobin S and C (HbSC) in sickle cell disease (SCD) to various complications in multiple oxidative processes. However, similar studies in relation to abnormal Hb traits are sparse. Besides, reports on activities of antioxidant enzymes and iron status in SCDs are still contradictory. This study assessed the interplay between lipid peroxidation and antioxidant defense capacity in various Hb variants. We enrolled 193 participants with different Hb phenotypes. They were consecutive patients with sickle cell anemia (HbSS, n = 32) and hemoglobin SC (HbSC) disease (n = 28) regularly followed up in a steady state. Other participants were subjects with abnormal Hb traits (HbAS, n = 50; HbAC, n = 33) and normal controls (HbAA, n = 50). The hematocrit (Hct) level, hemoglobin (Hb) concentration, iron status, and biochemical parameters including malondialdehyde (MDA), total antioxidant status (TAS), superoxide dismutase (SOD), and glutathione peroxidase (GPx) enzymes were investigated simultaneously. The MDA and SOD levels were significantly higher (P < 0.05) in Hb variants in order of HbSS>HbSC>HbAC>HbAS when compared with controls. Conversely, GPx and TAS levels showed significant reductions (P < 0.05). Similarly, Hct, Hb, and iron concentrations showed significant reductions (P < 0.05) sequentially following HbAC > HbAS > HbSC > HbSS compared with controls. The results suggest that both SCDs and the carriers were relatively more vulnerable to systemic oxidative stress against normal phenotype, and may be owing to ineffective antioxidant mechanisms needed for keeping spontaneous generations of free radicals in control without necessarily iron-mediated.

Consumption of Soymilk Reduces Lipid Peroxidation But May Lower Micronutrient Status in Apparently Healthy Individuals.

Consumption of soy products is speculated to reduce the risk and progression of some disease conditions. The underlying mechanisms mediating this effect are uncertain, but the lowering of oxidative stress has been suggested. This study was aimed at investigating the effect of soymilk on antioxidant status and lipid peroxidation in apparently healthy individuals. Five hundred milliliters of soymilk was taken daily by each of 39 apparently healthy individuals for a period of 28 days. Two sets of blood samples (baseline and after 28 days of soymilk intake) were collected and assayed for total antioxidant capacity (TAC), malondialdehyde (MDA), superoxide dismutase (SOD), glutathione S-transferase (GST), manganese (Mn) and zinc (Zn) levels, using standard methods. Consumption of soymilk significantly increased serum TAC and reduced serum MDA when compared with baseline values (P < .001, P < .001 respectively). The decrease in MDA concentration was significantly contributed by the women (P < .001). Mean serum Mn was also significantly reduced (P = .03) when compared with baseline values. There were no changes in serum Zn concentration and the activity of SOD enzyme. The serum GST activity was significantly increased in men (P = .02) and significantly reduced in women (P < .001) in comparison with their corresponding baseline values. Daily consumption of soymilk enhanced antioxidant status and this led to reduced lipid peroxidation. It also resulted in a significant reduction of Mn. The dietary use of soymilk as an adjuvant to supplement meals seems beneficial health wise. However, soymilk should be taken with caution as it could result in micronutrient deficiency.