Current Pharmaceutical Design - Volume 28, Issue 4, 2022

Diabetes is a chronic non-communicable disease caused by several different routes, which has attracted increasing attention. In order to speed up the development of new selective drugs, machine learning (ML) technology has been applied in the process of diabetes drug development and opens up a new blueprint for drug design. This review provides a comprehensive portrayal of the application of ML in antidiabetic drug use.

Neuromyelitis optica spectrum disorder (NMOSD) is an acute or subacute demyelinating disease that affects mainly the optic nerve and spinal cord. A major proportion of NMOSD cases have a relationship with autoimmunity to aquaporin 4 (AQP4) found on the central nervous system. NMOSD can occur repeatedly, causing symptoms such as decreased vision and weakness of limbs. The main goal of the current therapy is to rel Read More

The current clinical first-line treatment of neuropathic pain still considers only the nervous system as the target, and its therapeutic effect is limited. An increasing number of studies support the opinion that neuropathic pain is a result of the combined action of the sensory nervous system and the related immune system. Under physiological conditions, both the nervous system and the immune system can maintain homeostasis by Read More

Objective: The aim of the study was to verify the ability of the deep learning model to identify five subtypes and normal images in non-contrast enhancement CT of intracranial hemorrhage. Methods: A total of 351 patients (39 patients in the normal group, 312 patients in the intracranial hemorrhage group) who underwent intracranial hemorrhage noncontrast enhanced CT were selected, obtaining 2768 images in total (5 Read More

Venous thromboembolism (VTE), clinically presented as deep-vein thrombosis (DVT) or pulmonary embolism (PE), constitutes a major global healthcare concern with severe complications, long-term morbidity, and mortality. Although several clinical, genetic, and acquired risk factors for VTE have been identified, the molecular pathophysiology and mechanisms of disease progression remain poorly understood. Anticoagul Read More

Objectives: Thrombomodulin (TM) is closely related to the pathogenesis of autoimmune diseases, including systemic lupus erythematosus (SLE). However, current evidence on circulating TM levels in SLE patients is contradictory. We conducted this meta-analysis to more accurately assess circulating TM levels in patients with SLE and lupus nephritis (LN) and to analyze related influencing factors. Methods: Systematic search Read More

Background: Pancreatic ductal adenocarcinoma (PDAC), which ranks forth on the cancer-related death statistics still is both a diagnostic and a therapeutic challenge. Adenocarcinoma of the exocrine human pancreas originates in most instances from malignant transformation of ductal epithelial cells, alternatively by Acinar-Ductal Metaplasia (ADM). RA-96 antibody targets to a mucin M1, according to the more recent no Read More

Background: Oxandrolone is a synthetic testosterone analog that is widely used among bodybuilders and athletes. However, oxandrolone causes male infertility. Recently, it was found that metformin reduces the risk of infertility associated with diabetes mellitus. Aim: This study aimed to investigate the protective effects of metformin against oxandrolone-induced infertility in male rats. Methods: Rats continuously received Read More

Introduction: Methylphenidate (MP) is a widely used psychostimulant prescribed for Attention Deficit Hyperactivity Disorder and is also used illicitly by healthy individuals. Chronic exposure to MP has been shown to affect physiology, behavior measures, and neurochemistry. Methods: The present study examined its effect on the endocannabinoid system. Adolescent rats had daily oral access to either water (control), low dose MP ( Read More