Environmental pollutants PM2.5, PM10, carbon monoxide (CO), nitrogen dioxide (NO2), sulfur dioxide (SO2), and ozone (O3) impair human cognitive functions.

OBJECTIVE: Environmental pollution is an emerging global public health problem across the world and causes serious threats to ecosystems, human health, and the planet. This study is designed to explore the impact of environmental pollution particulate matter PM2.5, PM10, carbon monoxide (CO), nitrogen dioxide (NO2), sulfur dioxide (SO2), and ozone (O3) on cognitive functions in students from schools located in or away from air-polluted areas. SUBJECTS AND METHODS: In this study, two schools were selected: one was located near a traffic-polluted area (school #1), and the second was in an area away from the traffic-polluted area (school #2). In this study, a total of 300 students were recruited: 150 (75 male and 75 female) students from school #1 located in a traffic-polluted area, and 150 students (75 male and 75 female) from school #2 located away from a traffic polluted area. The overall average age of students was 13.53±1.20 years. The students were selected based on age, gender, health status, height, weight, BMI, ethnicity, and homogenous socio-economic and educational status. The pollutants PM2.5, PM10, CO, NO2, O3, and SO2 were recorded in the surrounding environment. The overall mean concentration of environmental pollutants in school #1 was 35.00±0.65 and in school #2 was 29.95±0.32. The levels of airborne particles were measured, and the cognitive functions were recorded using the Cambridge Neuropsychological Test Automated Battery (CANTAB). The students performed the cognitive functions tasks, including the attention switching task (AST), choice reaction time (CRT), and motor screening task (MOT). RESULTS: The results revealed that the AST-Mean 928.34±182.23 vs. 483.79±146.73 (p=0.001), AST-mean congruent 889.12±197.12 vs. 473.30±120.11 (p=0.001), AST-mean in-congruent 988.98±201.27  vs. 483.87±144.57 (p=0.001), CRT-Mean 721.36±251.72  vs. 418.17±89.71 (p=0.001), and MOT-Mean 995.07±394.37 vs. 526.03±57.83 (p=0.001) were significantly delayed among the students who studied in school located in the traffic polluted area compared to students who studied in school which was located away from the traffic-polluted area. CONCLUSIONS: Environmental pollution was significantly higher in motor vehicle-congested areas. Cognitive functions were impaired among the students who were studying in a school located in a polluted area. The results further revealed that the students studying in schools located in environmentally polluted areas have attention, thinking, and decision-making abilities related to cognitive function impairment.

Serum inducible and endothelial nitric oxide synthase in coronary artery disease patients with Type 2 Diabetes mellitus.

OBJECTIVE: Coronary artery disease (CAD) is a well-known cause of morbidity and mortality in type 2 diabetes mellitus (T2DM). The role of endothelial nitric oxide synthase (eNOS) and inducible nitric oxide synthase (iNOS) in T2DM patients in relation to CAD is not well understood. We examined serum inducible and endothelial nitric oxide synthase activities in patients with T2DM in relation to the presence of coronary artery disease. PATIENTS AND METHODS: The present study was conducted in the Department of Physiology, King Saud University, Riyadh, Saudi Arabia. Subjects were grouped into control (Group A, n=87), T2DM without CAD (Group B, n=70), and T2DM patients with CAD (Group C, n=49). The selection of T2DM subjects was according to the American Diabetes Association (ADA). Serum iNOS, eNOS, hsCRP, nitrates and nitrites along with lipid profile were compared between different groups. Spearman's correlation and ROC analysis were also performed. RESULTS: Serum eNOS levels were significantly high in the control group (112.38±47.16 U/ml) than in DM without CAD (81.43±49.91 U/ml) and DM with CAD (84.80±43.32 U/ml, p<.001). Serum iNOS levels were significantly higher in DM with CAD (42.87±28.83 U/ml) compared to both control (22.08±11.77 U/ml) and DM without CAD (16.24±12.30 U/ml, p<.001). Additionally, the differences in nitrite and NO were not significant between the three groups (34.06±24.75, 33.02±21.50, 38.83±24.34 uM, p = .384), and (56.51±36.78, 49.89±28.83 vs. 55.77±30.34 uM, p=.416) respectively. ROC curve analysis revealed a sensitivity and specificity of 73.5% and 68.6% of iNOS level at a cutoff point of 21.1 U/ml to predict CAD in T2DM patients. The ROC analysis for iNOS, eNOS, and hs-CRP were .782 (p<.001), .574 (p=.170), and .726 (p<.001), respectively. CONCLUSIONS: Patients with T2DM have significantly higher levels of serum iNOS and lower levels of eNOS. However, iNOS levels were significantly higher in T2DM patients with concomitant CAD. Moreover, iNOS activity positively correlated with glycemic control and hsCRP. Therefore, iNOS could be an emerging future marker for CAD in T2DM patients and its antagonists could be useful in the management of these patients.

Magnetic Resonance Imaging (MRI) and neurological manifestations in SARS-CoV-2 patients.

OBJECTIVE: The "Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2)" disease caused a challenging and threating pandemic (COVID-19) worldwide with a great loss to life and the global economy. SARS-CoV-2 mainly involves the respiratory system, however, with Magnetic Resonance Imaging (MRI), neurological and special senses clinical manifestations have been reported rarely. The present study aims to investigate the MRI findings, clinical manifestations of neurological and special senses involvement in SARS-CoV-2 patients. MATERIALS AND METHODS: In this study, 284 articles from the databases "Pub-Med, Web of Science-Clarivate Analytics, Embase and Google Scholar" were identified. The keywords, coronavirus, SARS-CoV-2, COVID-19 pandemic, MRI, brain, special senses, neurological involvement were entered into the search engines and the concerned documents were selected and reviewed. The descriptive information was recorded from the particular studies; finally, we included 48 publications. RESULTS: The common neurological manifestations in SARS-CoV-2 patients were headache, impaired consciousness, acute cerebrovascular disease, ataxia, tremors, meningitis, encephalitis, cerebral bleeding, subarachnoid hemorrhage, frontal lobe, temporal lobe and intracerebral hematoma, hemiparesis and seizures. However, common special senses manifestations in SARS-CoV-2 patients were olfactory, auditory and gustatory disorders including red eyes, painless monocular visual disturbance, anosmia, ageusia, dysgeusia, dysosmia and hypoacusis. Moreover, the MRI findings identified in SARS-CoV-2 patients were isolated oval-shaped lesion in the corpus callosum, bilateral basal ganglia hemorrhage, ischemic lesions involving the corpus callosum, basal ganglia, cerebellum and vasogenic edema extending to the cerebral peduncles, pons and ventricles. CONCLUSIONS: The neurologic manifestations of SARS-CoV-2 patients are highly variable. The SARS-COV-2 exerts its damaging effects on the nervous system and special senses by developing determinant numerous neurological and special senses' clinical manifestations. Physicians with the help of MRI must rule out the neurological and special senses manifestations among SARS-CoV-2 patients.

The effect of transcranial direct current stimulation combined with functional task training on motor recovery in stroke patients.

The field of neuromodulation encompasses a wide spectrum of interventional technologies that modify pathological activity within the nervous system to achieve a therapeutic effect. Therapy including transcranial direct current stimulation (tDCS) has all shown promising results across a range of neurological and neuropsychiatric disorders. This article reviews the state-of-the-art of neuromodulation for stroke and discusses the opportunities and challenges available for clinicians and researchers interested in advancing neuromodulation therapy. The annual worldwide incidence of stroke ranges from 27.5 to 63 individuals per 100,000. Stroke, a major cause of adult disability, has devastating effects on patients and their caregivers, which has a tremendous socioeconomic impact on families and healthcare systems around the world. There are only a few treatments available for the improvement of motor function in stroke patients. The majority of these treatments are based on functional motor learning (ML) strategies. Both the mechanisms underlying stroke recovery and the effectiveness of neurorehabilitation interventions still remain poorly understood for widespread implementation, although it strongly depends on the quality of rehabilitation service to reach maximal post-stroke recovery.