The ketogenic diet (KD) restricts carbohydrate consumption, leading to an increase in ketone bodies, such as acetoacetate, β-hydroxybutyrate, and acetone, which are utilized as energy substrates. This dietary approach impacts several biochemical processes, resulting in improved clinical management of various disorders, particularly in childhood. However, the exact mechanisms underlying the efficacy of KD remain unclear. Interestingly, KD may also impact the gut microbiota, which plays a pivotal role in metabolism, nutrition, and the development of the immune and nervous systems. KD has gained popularity for its potential benefits in weight loss, blood sugar control, and certain neurological conditions. This narrative review sums up KD-related studies published over 30 years. While short-term studies have provided valuable insights into the effects of KD on the gut microbiota, persistent uncertainties surround its long-term efficacy and potential for inducing dysbiosis. The significant influence of KD on epigenetic mechanisms, intracellular pathways, and gut microbial composition underscores its potential as a therapeutic choice. However, a judicious consideration of the potential risks associated with the strict adherence to a low-carbohydrate, high-fat, and high-protein regimen over prolonged periods is imperative. As KDs gain popularity among the adolescent and young adult demographic for weight management, it becomes imperative to undertake additional research to comprehensively assess their impact on nutritional status and gut microbiota, ensuring a holistic and sustainable approach to medical nutrition.

Status epilepticus (SE) is a medical emergency resulting from the failure of the mechanisms involved in seizure termination or from the initiation of pathways involved in abnormally prolonged seizures, potentially leading to long-term consequences, including neuronal death and impaired neuronal networks. It can eventually evolve to refractory status epilepticus (RSE), in which the administration of a benzodiazepine and another anti-seizure medications (ASMs) had been ineffective, and super-refractory status epilepticus (SRSE), which persists for more than 24 h after the administration of general anesthesia. Objective of the present review is to highlight the link between inflammation and SE. Several preclinical and clinical studies have shown that neuroinflammation can contribute to seizure onset and recurrence by increasing neuronal excitability. Notably, microglia and astrocytes can promote neuroinflammation and seizure susceptibility. In fact, inflammatory mediators released by glial cells might enhance neuronal excitation and cause drug resistance and seizure recurrence. Understanding the molecular mechanisms of neuroinflammation could be crucial for improving SE treatment, wich is currently mainly addressed with benzodiazepines and eventually phenytoin, valproic acid, or levetiracetam. IL-1β signal blockade with Anakinra has shown promising results in avoiding seizure recurrence and generalization in inflammatory refractory epilepsy. Inhibiting the IL-1β converting enzyme (ICE)/caspase-1 is also being investigated as a possible target for managing drug-resistant epilepsies. Targeting the ATP-P2X7R signal, which activates the NLRP3 inflammasome and triggers inflammatory molecule release, is another avenue of research. Interestingly, astaxanthin has shown promise in attenuating neuroinflammation in SE by inhibiting the ATP-P2X7R signal. Furthermore, IL-6 blockade using tocilizumab has been effective in RSE and in reducing seizures in patients with febrile infection-related epilepsy syndrome (FIRES). Other potential approaches include the ketogenic diet, which may modulate pro-inflammatory cytokine production, and the use of cannabidiol (CBD), which has demonstrated antiepileptic, neuroprotective, and anti-inflammatory properties, and targeting HMGB1-TLR4 axis. Clinical experience with anti-cytokine agents such as Anakinra and Tocilizumab in SE is currently limited, although promising. Nonetheless, Etanercept and Rituximab have shown efficacy only in specific etiologies of SE, such as autoimmune encephalitis. Overall, targeting inflammatory pathways and cytokines shows potential as an innovative therapeutic option for drug-resistant epilepsies and SE, providing the chance of directly addressing its underlying mechanisms, rather than solely focusing on symptom control.

OBJECTIVE In view of low prevalence rates, diabetes is discussed as a protective factor for the occurrence of Takotsubo syndrome (TTS). Furthermore, it was associated with improved outcome in a small single-center analysis. Therefore, this study assessed the prevalence and prognostic relevance of concomitant diabetes in TTS. RESEARCH DESIGN AND METHODS A total of 826 patients with TTS were enrolled in an international, multicenter, registry-based study (eight centers in Italy and Germany). All-cause mortality was compared between patients with diabetes and patients without diabetes, and the independent predictive value of diabetes was evaluated in multivariate regression analysis. RESULTS The prevalence of diabetes was 21.1% (n = 174). TTS patients with diabetes were older (P < 0.001), were more frequently male (P = 0.003), had a higher prevalence of hypertension (P < 0.001), physical triggers (P = 0.041), and typical apical ballooning (P = 0.010), had a lower left ventricular ejection fraction (P = 0.008), had a higher rate of pulmonary edema (P = 0.032), and had a longer hospital stay (P = 0.009). However, 28-day all-cause mortality did not differ between patients with diabetes and patients without diabetes (6.4% vs. 5.7%; hazard ratio [HR] 1.11 [95% CI 0.55–2.25]; P = 0.772). Longer-term follow-up after a median of 2.5 years revealed a significantly higher mortality among TTS patients with diabetes (31.4% vs. 16.5%; P < 0.001), and multivariate regression analysis identified diabetes as an independent predictor of adverse outcome (HR 1.66 [95% CI 1.16–2.39]; P = 0.006). CONCLUSIONS Diabetes is not uncommon in patients with TTS, is associated with increased longer-term mortality rates, and is an independent predictor of adverse outcome irrespective of additional risk factors.

COVID-19 is a pandemic caused by human coronavirus (HCoV) SARS-CoV-2, which originated in Wuhan, China, at the end of 2019 and spread globally during 2020. Due to the difficulty of clinical decision-making during this period, our study group reviewed current literature focusing on the neurological and psychiatric aspects of COVID-19. Despite the knowledge on this newly discovered virus which is constantly evolving, different pieces of evidence reported an association between COVID-19 and neurological symptoms like headache, dizziness, taste and smell disorders and complications involving the nervous system eventually triggered by the pathologic processes elicited by SARS-CoV-2. It seems that younger patients are less prone to develop severe forms of COVID-19. However, neurological signs have been reported in paediatric patients as well, and in some cases, the infection presented neurological sequelae. Furthermore, children with particular neurological diseases or treated with specific drugs (e.g. immune-suppressant therapies) must be carefully monitored during this pandemic. Neurologists should be aware of the main drug–drug interactions and the neurological side effects of COVID-19 treatments. Notably, adverse mental health impact has been reported in patients with SARS-CoV-2, which could be related either to the social strain or to the eventual neurotropic effects of the virus, which in other infections have been proven to promote the onset of psychiatric symptoms. Further, psychiatric population may be more vulnerable to the infection and at higher risk for adverse outcomes.

Background: In recent months, there has been growing interest in the potential of artificial intelligence (AI) to revolutionize various aspects of medicine, including research, education, and clinical practice. ChatGPT represents a leading AI language model, with possible unpredictable effects on the quality of future medical research, including clinical decision-making, medical education, drug development, and better research outcomes. Aim and Methods: In this interview with ChatGPT, we explore the potential impact of AI on future pediatric research. Our discussion covers a range of topics, including the potential positive effects of AI, such as improved clinical decision-making, enhanced medical education, faster drug development, and better research outcomes. We also examine potential negative effects, such as bias and fairness concerns, safety and security issues, overreliance on technology, and ethical considerations. Conclusions: While AI continues to advance, it is crucial to remain vigilant about the possible risks and limitations of these technologies and to consider the implications of these technologies and their use in the medical field. The development of AI language models represents a significant advancement in the field of artificial intelligence and has the potential to revolutionize daily clinical practice in every branch of medicine, both surgical and clinical. Ethical and social implications must also be considered to ensure that these technologies are used in a responsible and beneficial manner.