Molecular Aspects of MAFLD-New Insights on Pathogenesis and Treatment

Metabolic-associated liver disease (MAFLD) affects up to 70% of overweight and more than 90% of morbidly obese people, and its pathogenesis is rather complex and multifactorial. The criteria for MAFLD include the presence of hepatic steatosis in addition to one of the following three criteria: overweight or obesity, presence of type 2 diabetes mellitus (T2DM), or evidence of metabolic dysregulation. If the specific criteria are present, the diagnosis of MAFLD can be made regardless of alcohol consumption and previous liver disease. The pathophysiological mechanisms of MAFLD, including inflammation, lipotoxicity, mitochondrial disfunction, and oxidative stress, as well as the impact of intestinal gut microbiota, are constantly being elucidated. Treatment strategies that are continually emerging are based on different key points in MAFLD pathogenesis. Yet, the ideal therapeutic option has still not been found and future research is of great importance, as MAFLD represents a multisystemic disease with numerous complications.

The Importance of Artificial Intelligence in Upper Gastrointestinal Endoscopy

Recently, there has been a growing interest in the application of artificial intelligence (AI) in medicine, especially in specialties where visualization methods are applied. AI is defined as a computer's ability to achieve human cognitive performance, which is accomplished through enabling computer "learning". This can be conducted in two ways, as machine learning and deep learning. Deep learning is a complex learning system involving the application of artificial neural networks, whose algorithms imitate the human form of learning. Upper gastrointestinal endoscopy allows examination of the esophagus, stomach and duodenum. In addition to the quality of endoscopic equipment and patient preparation, the performance of upper endoscopy depends on the experience and knowledge of the endoscopist. The application of artificial intelligence in endoscopy refers to computer-aided detection and the more complex computer-aided diagnosis. The application of AI in upper endoscopy is aimed at improving the detection of premalignant and malignant lesions, with special attention on the early detection of dysplasia in Barrett's esophagus, the early detection of esophageal and stomach cancer and the detection of H. pylori infection. Artificial intelligence reduces the workload of endoscopists, is not influenced by human factors and increases the diagnostic accuracy and quality of endoscopic methods.

The Role of Psychotherapy in the Treatment of Patients with Non- alcoholic Fatty Liver Disease and Obstructive Sleep Apnea

BACKGROUND AND AIMS

Non-alcoholic fatty liver disease (NAFLD) is a metabolic disease with extensive multi- organ involvement, whose extra-hepatic manifestations include diabetes mellitus type 2, cardiovascular disease, obstructive sleep apnea (OSA), chronic kidney disease, and polycystic ovary syndrome. Our hypothesis was that there was a strong psychological component in NAFLD and OSA suffering patients and that psychotherapy would be helpful in the treatment of the mentioned diseases.

METHODS

Of 144 initially selected patients (with NAFLD, obesity and OSA), 32 patients agreed to undergo psychotherapy, and 31 therapy-naive NAFLD and OSA patients agreed to participate as controls.

RESULTS

Psychological evaluation revealed that self-esteem rose significantly after one-year psychotherapy (p=0.005). Body mass index (BMI) was significantly lower after psychotherapy, followed by the changes in laboratory results. Binomial logistic regression revealed that the reduction of BMI in high probability led to self-esteem improvement (p=0.03).

CONCLUSIONS

Psychotherapy was an efficient supporting method in the treatment of patients with NAFLD, obesity and OSA. It raised self-esteem and stimulated the motivation for further treatment of obesity, as one of the important factors for NAFLD and OSA. Still, it is advisable to use psychotherapy in combination with other clinical methods of treatment.