The Klotho protein is a recently discovered protein and its overexpression is associated with life extension. Klotho deficiency or silencing of the Klotho gene in mice leads to an accelerated aging and short life, whereas overexpression of Klotho in mice extends lifespan. Klotho participates in many metabolic pathways and is highly expressed in the kidneys, the choroid plexus and neurons. It plays a key role in the calcium-phosphate metabolism, remyelination, and cognitive processes. The present paper is a short review of the literature on the role of Klotho in neurodegenerative disorders, with special attention paid to multiple sclerosis. The neuroprotective function of Klotho is also reported. It is also important to consider potential clinical applications of Klotho that might be useful in the treatment of many diseases.

Open Life Sci. 2017; 12: 92-98 pentraxin 3 concentration with diastolic left ventricular dysfunction. Additionally, in the group of patients with type 2 diabetes without cardiovascular disease plasma pentraxin 3 concentration was associated with elevated urinary albumin creatinine ratio. Further studies, on a larger group of patients, are required to confirm these observations.

Secondary cardiovascular preventive therapy in Poland is used too rarely in older people after stroke, and it especially concerns anticoagulant therapy in those with a history of atrial fibrillation. Structured educational programmes should be developed in Poland to improve usage of secondary preventive therapy in the elderly.

Background Nonalcoholic fatty liver disease is associated with an increased cardiovascular disease (CVD) risk, although the exact mechanism(s) are less clear. Moreover, the relationship between newly redefined metabolic-associated fatty liver disease (MAFLD) and CVD risk has been poorly investigated. Data-driven machine learning (ML) techniques may be beneficial in discovering the most important risk factors for CVD in patients with MAFLD. Methods In this observational study, the patients with MAFLD underwent subclinical atherosclerosis assessment and blood biochemical analysis. Patients were split into two groups based on the presence of CVD (defined as at least one of the following: coronary artery disease; myocardial infarction; coronary bypass grafting; stroke; carotid stenosis; lower extremities artery stenosis). The ML techniques were utilized to construct a model which could identify individuals with the highest risk of CVD. We exploited the multiple logistic regression classifier operating on the most discriminative patient’s parameters selected by univariate feature ranking or extracted using principal component analysis (PCA). Receiver operating characteristic (ROC) curves and area under the ROC curve (AUC) were calculated for the investigated classifiers, and the optimal cut-point values were extracted from the ROC curves using the Youden index, the closest to (0, 1) criteria and the Index of Union methods. Results In 191 patients with MAFLD (mean age: 58, SD: 12 years; 46% female), there were 47 (25%) patients who had the history of CVD. The most important clinical variables included hypercholesterolemia, the plaque scores, and duration of diabetes. The five, ten and fifteen most discriminative parameters extracted using univariate feature ranking and utilized to fit the ML models resulted in AUC of 0.84 (95% confidence interval [CI]: 0.77–0.90, p < 0.0001), 0.86 (95% CI 0.80–0.91, p < 0.0001) and 0.87 (95% CI 0.82–0.92, p < 0.0001), whereas the classifier fitted over 10 principal components extracted using PCA followed by the parallel analysis obtained AUC of 0.86 (95% CI 0.81–0.91, p < 0.0001). The best model operating on 5 most discriminative features correctly identified 114/144 (79.17%) low-risk and 40/47 (85.11%) high-risk patients. Conclusion A ML approach demonstrated high performance in identifying MAFLD patients with prevalent CVD based on the easy-to-obtain patient parameters.

Background: It is suspected that patients with multiple sclerosis (MS) are at greater risk for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection due to disability and immunotherapy. The relationship between MS and coronavirus disease 2019 (COVID-19) is uncertain. The aim of the study was to collect and analyze this relationship. Methods: All MS patients of the Neurological Outpatient Clinic in Zabrze, Poland, were regularly questioned for the symptoms of COVID-19 and contact with an infected person. Patients that presented with COVID-19 symptoms or confirmed contact with an infected person were referred for the COVID-19 test. All patients with confirmed SARS-CoV-2 infection (n=41) were included in the analysis. Medical records of the study group were analyzed. Patient condition was monitored in the outpatient clinic after recovery. In 26 subjects, additional examinations, including brain magnetic resonance imaging (MRI), electroneurography (ENG), electroencephalography (EEG), color duplex Doppler (CDD), visual evoked potentials (VEPs), brainstem auditory evoked potentials (BAEPs) and psychological assessment were performed following recovery. Results: Only one patient required hospitalization during COVID-19 infection, whereas 87.80% of patients did not require treatment for COVID-19. In all patients, C-reactive protein (CRP) levels were below 10 mg/L. In 2.44% of patients, oxygen partial pressure was below 95%. In most MS patients, the results of further examinations after COVID-19 infection were similar to those prior to infection. Psychological assessment revealed that anxiety was found in 42.31% of patients. Conclusions: A mild course of COVID-19 in MS patients seems common despite disease-modifying drug treatment and disability. Self-isolation is recommended to reduce the number of infected patients. COVID-19 infection did not worsen the course of MS in most subjects. Patients with MS may require additional psychological support during the pandemic due to their susceptibility to anxiety.