Oxidative balance and mental health: Exploring the link between prooxidant-antioxidant balance and depression in hypertensive and normotensive individuals, accounting for sex differences.

BACKGROUND: Existing studies have suggested a link between oxidative stress levels and depression. Additionally, factors such as gender and conditions like hypertension have been shown to influence oxidative stress. This ten-year follow-up cohort study aims to examine the association between prooxidant-antioxidant balance (PAB) and the onset of depression and its symptoms in both hypertensive and normotensive individuals, while considering gender differences. METHODS: The data for this study was obtained from the Mashhad Stroke and Heart Atherosclerotic Disorder (MASHAD) study, a cohort study conducted in eastern Iran. Serum PAB levels were measured in 1702 hypertensive and 4096 normotensive individuals aged 35 to 65 years. After ten years, the participants' depression status was evaluated using the Beck questionnaire, and depression symptoms were investigated using the BDI-II structural model, which includes somatic, affective, and cognitive symptoms. RESULT: The analysis indicates that in hypertensive male participants, the highest tertile of PAB is associated with an increased risk of depression (ß: 1.22, 95 % CI: -0.046, 2.485; P = 0.059) and symptoms of depression, including cognitive (ß: 2.937, 95 % CI: 0.511, 5.362; P = 0.018) and somatic (ß: 2.654, 95 % CI: 0.37, 4.939; P = 0.023) symptoms. However, there was no significant association between affective symptoms and PAB tertiles. Additionally, there was no significant link between depression and depressive symptoms in female hypertensive and normotensive individuals. CONCLUSION: In male hypertensive patients, but not in normotensive individuals of both genders and hypertensive women, depression and its associated symptoms, including somatic and cognitive symptoms, are associated with elevated levels of oxidative stress, as evidenced by higher serum PAB values. PAB is not associated with affective symptoms. Future studies should focus on the gender-specific nature of this relationship and work to clarify its underlying mechanisms.

World competitive contest-based artificial neural network: A new class-specific method for classification of clinical and biological datasets.

Many data mining methods have been proposed to generate computer-aided diagnostic systems, which may determine diseases in their early stages by categorizing the data into some proper classes. Considering the importance of the existence of a suitable classifier, the present study aims to introduce an efficient approach based on the World Competitive Contests (WCC) algorithm as well as a multi-layer perceptron artificial neural network (ANN). Unlike the previously introduced methods, which each has developed a universal model for all different kinds of data classes, our proposed approach generates a single specific model for each individual class of data. The experimental results show that the proposed method (ANNWCC), which can be applied to both the balanced and unbalanced datasets, yields more than 76% (without applying feature selection methods) and 90% (with applying feature selection methods) of the average five-fold cross-validation accuracy on the 13 clinical and biological datasets. The findings also indicate that under different conditions, our proposed method can produce better results in comparison to some state-of-art meta-heuristic algorithms and methods in terms of various statistical and classification measurements. To classify the clinical and biological data, a multi-layer ANN and the WCC algorithm were combined. It was shown that developing a specific model for each individual class of data may yield better results compared with creating a universal model for all of the existing data classes. Besides, some efficient algorithms proved to be essential to generate acceptable biological results, and the methods' performance was found to be enhanced by fuzzifying or normalizing the biological data.

Are individual analyses of multiple short urine collections throughout the 24 hours superior to a standard 24-hour urine collection in precipitation risk assessment of healthy subjects?

PURPOSE: The commonly used 24-hour collection technique has been the mainstay of diagnosis for supersaturation but has some certain limitations. Hence, superiority of multiple short urine collections as a new alternative in precipitation risk assessment was assessed compared to the standard 24-hour urine collection among healthy subjects. MATERIALS AND METHODS: Individual urine samples of 26 healthy subjects were acquired every 2 to 3 hours throughout the 24 hours. Urine samples were obtained and the time and volume of each sample were recorded. Urinary constituents involved in precipitation including, sodium-potassium, chloride, calcium, phosphate, citrate, magnesium, urea, creatinine and pH were measured. A simulated 24-hour collection was recalculated by the totalling of all shorter urine collections volume and urinary constituents excretions throughout the day. RESULTS: Urine pH, urine creatinine and precipitation rate had a significantly lower values in 24-hours urine collection compared to one individual value of multiple urine collections by -0.769 (P < .0001), -7.305 (P < .0001), and - 12.838 (P < .0001), respectively. However, calcium (2.697, P < .0001), citrate (3.54, P < .0001), total phosphate (19.961, P < .0001) and total creatinine (9.579, P < .0001) had statistically significantly higher values in the 24-hours urine collection compared to individual value of multiple urine collections. CONCLUSION: Based on the results, individual analysis of multiple shorter urine collections throughout the day improves the ability of identifying supersaturation points, precipitation risk zones and may potentially improve risk assessment compared to the 24-hour urine collection method.

Behavioral Reference Model for Pervasive Healthcare Systems.

The emergence of mobile healthcare systems is an important outcome of application of pervasive computing concepts for medical care purposes. These systems provide the facilities and infrastructure required for automatic and ubiquitous sharing of medical information. Healthcare systems have a dynamic structure and configuration, therefore having an architecture is essential for future development of these systems. The need for increased response rate, problem limited storage, accelerated processing and etc. the tendency toward creating a new generation of healthcare system architecture highlight the need for further focus on cloud-based solutions for transfer data and data processing challenges. Integrity and reliability of healthcare systems are of critical importance, as even the slightest error may put the patients' lives in danger; therefore acquiring a behavioral model for these systems and developing the tools required to model their behaviors are of significant importance. The high-level designs may contain some flaws, therefor the system must be fully examined for different scenarios and conditions. This paper presents a software architecture for development of healthcare systems based on pervasive computing concepts, and then models the behavior of described system. A set of solutions are then proposed to improve the design's qualitative characteristics including, availability, interoperability and performance.

The Correlation between Troponin and Ferritin Serum Levels in the Patients with Major Beta-Thalassemia.

BACKGROUND: Thalassemia is a hereditary hemoglobinopathy whose most common complication is cardiac involvement which ends up in these patients' death. Since troponin is a sensitive and specific marker for the detection of microinfarct, we studied the relationship between troponin and ferritin serum levels for early diagnosis of cardiac involvement in these patients. MATERIALS AND METHODS: This case-control study was performed on 80 patients, including 40 patients with major thalassemia and normal echocardiography and 40 healthy volunteers ranging from 6 months to 16 years old. All the children were examined and the eligible children who were not infected with known heart disease, iron deficiency anemia, kidney disease, diabetes, fever, and systemic diseases were enrolled into the study after obtaining written informed consents from their parents. At 8:00 A.M. before breakfast, 5cc blood was drawn from these children. After collecting the samples, ferritin and troponin serum levels were evaluated using ELISA and electro- kymonolonsense methods, respectively. The gathered data were analyzed through the SPSS statistical software (v. 20) and T-test. Besides, P value<0.05 was considered as statistically significant. RESULTS: The study results revealed a significant difference between the two groups regarding the mean of the serum levels of troponin (P=0.045) and ferritin (P=0.001). In this study, no significant correlation was observed between serum troponin and ferritin levels and age and BMI in the two groups. Also, no significant relationship was found between serum troponin level and sex (P=0.264). CONCLUSIONS: In microinfarct, troponin increases independent of ferritin; therefore, it can be used for early detection of cardiac involvement in thalassemia patients to determine the sub-clinical effects.

Beta-Thalassemia in Iran: new insight into the role of genetic admixture and migration.

Iran with an area of 1.648 million km(2) is located between the Caspian Sea and the Persian Gulf. The Iranian population consists of multiethnic groups that have been influenced by various invasions and migration throughout history. Studies have revealed the presence of more than 47 different ß-globin gene mutations responsible for ß-Thalassemia in Iran. This paper is an attempt to study the origin of ß-Thalassemia mutations in different parts of Iran. Distribution of ß-Thalassemia mutations in Iran shows different patterns in different areas. ß-Thalassemia mutations have been a reflection of people and area in correlation with migration and origin of ancestors. We compared the frequencies of ß-globin mutations in different regions of Iran with those derived from neighboring countries. The analysis provided evidence of complementary information about the genetic admixture and migration of some mutations, as well as the remarkable genetic classification of the Iranian people and ethnic groups.