According to the World Bank Group, 36 of the 50 most polluted cities in the European Union are in Poland. Thus, ambient air pollution and its detrimental health effects are a matter of immense importance in Poland. This narrative review aims to analyse current findings on air pollution and health in Poland, with a focus on respiratory diseases, including COVID-19, as well as the Poles’ awareness of air pollution. PubMed, Scopus and Google Scholar databases were searched. In total, results from 71 research papers were summarized qualitatively. In Poland, increased air pollution levels are linked to increased general and respiratory disease mortality rates, higher prevalence of respiratory diseases, including asthma, lung cancer and COVID-19 infections, reduced forced expiratory volume in one second (FEV1) and forced vital capacity (FVC). The proximity of high traffic areas exacerbates respiratory health problems. People living in more polluted regions (south of Poland) and in the winter season have a higher level of air pollution awareness. There is an urgent need to reduce air pollution levels and increase public awareness of this threat. A larger number of multi-city studies are needed in Poland to consistently track the burden of diseases attributable to air pollution.

Guanosine (Guo) is a nucleotide metabolite that acts as a potent neuromodulator with neurotrophic and regenerative properties in neurological disorders. Under brain ischemia or trauma, Guo is released to the extracellular milieu and its concentration substantially raises. In vitro studies on brain tissue slices or cell lines subjected to ischemic conditions demonstrated that Guo counteracts destructive events that occur during ischemic conditions, e.g., glutaminergic excitotoxicity, reactive oxygen and nitrogen species production. Moreover, Guo mitigates neuroinflammation and regulates post-translational processing. Guo asserts its neuroprotective effects via interplay with adenosine receptors, potassium channels, and excitatory amino acid transporters. Subsequently, guanosine activates several prosurvival molecular pathways including PI3K/Akt (PI3K) and MEK/ERK. Due to systemic degradation, the half-life of exogenous Guo is relatively low, thus creating difficulty regarding adequate exogenous Guo distribution. Nevertheless, in vivo studies performed on ischemic stroke rodent models provide promising results presenting a sustained decrease in infarct volume, improved neurological outcome, decrease in proinflammatory events, and stimulation of neuroregeneration through the release of neurotrophic factors. In this comprehensive review, we discuss molecular signaling related to Guo protection against brain ischemia. We present recent advances, limitations, and prospects in exogenous guanosine therapy in the context of ischemic stroke.

Histamine intolerance is defined as a disequilibrium of accumulated histamine and the capacity for histamine degradation. This clinical term addresses a non-immunologically mediated pathology when histamine ingested with food is not particularly high, however its degradation is decreased. This paper aims to provide a narrative review on etiopathology, epidemiology, possible diagnostic algorithms and diagnostic challenges of histamine intolerance in children. The clinical picture of histamine intolerance in children is similar to that observed in adults apart from male predominance found in paediatric patients. Both in children and adults, a histamine-reduced diet is typically the treatment of choice. Diamine oxidase supplementation offers another treatment option. There is no symptom or test pathognomonic for histamine intolerance. Nevertheless, manifestations of chronic gastrointestinal symptoms, measurements of diamine oxidase deficits, positive results of histamine provocation tests and improvement in symptoms with histamine-reduced diet considerably increase the probability of histamine intolerance diagnosis. These factors have been included in the proposed diagnostic algorithm for histamine intolerance. In children histamine intolerance most likely co-occurs with allergies and bowel diseases, which creates an additional diagnostic challenge. As the evidence for children is poor further research is needed the determine epidemiology, validate diagnostic algorithms and establish possible treatment options regarding histamine intolerance.

Background: COVID-19 pandemic impacts many communities worldwide. In this study the Poles’ knowledge about COVID-19 as well as people’s behaviours, attitudes and fears during the pandemic were assessed. Changes in these between the outset of the pandemic and the imposition of the strictest lockdown measures in Poland were investigated. Methods: Physicians, nurses, students of medicine-oriented faculties, non-medical professionals, students of non-medicine-oriented faculties and secondary school students were surveyed by an anonymous online questionnaire two times: at the onset of the pandemic and in the second week of the strictest lockdown. Statistical analyses were performed using non-parametric tests – Pearson Chi Square, Kruskal-Wallis tests. Results: In total 2618 responses were collected. At the beginning people knew that the respiratory system was attacked (97.9%); correctly identified the major symptoms of COVID-19 (95.0%) and ways to prevent infection: hand washing (99.8%), covering mouth (85.9%) and the need to call sanitary-epidemiological services if one experienced COVID-19-like symptoms (92.1%). The biggest changes between the first and second phase of the study concerned behaviours: more people wearing facial masks (+ 37.5%) and staying at home (+ 66.1%). Respondents in the second wave of the survey were also more scared of the pandemic (+ 19.6%), economic crisis (+ 64.1%), and worried about their families (+ 26.5%). However, they were less afraid of the quarantine (lockdown) (− 18.2%). Nurses and physicians were the most worried groups. Conclusions: The study showed that even at the outset of the pandemic Polish population had a good initial knowledge about symptoms, transmission, and preventive behaviours regarding COVID-19. People revealed more short-term concerns, such as the worries about coping with quarantine and isolation. After a month, the knowledge and the concerns among the respondents changed. A shift towards long-term pandemic management issues was observed. Respondents reported to experience more fears concerning the pandemic in general, as well as economic and healthcare crises. Medical professionals reported higher level of fear of the pandemic than other groups included in this study. This study uses before-and-after approach which highlights the changes in people’s knowledge and perception of the COVID-19 pandemic during the pandemic’s progression.

High-quality data are critical in health care, forming the cornerstone for accurate diagnoses, effective treatment plans, and reliable conclusions. Similarly, high-quality datasets underpin the development and performance of large language models (LLMs). Among these, instruction-tuning datasets (ITDs) used for instruction fine-tuning have been pivotal in enhancing LLM performance and generalization capabilities across diverse tasks. This tutorial provides a comprehensive guide to designing, creating, and evaluating ITDs for health care applications. Written from a clinical perspective, it aims to make the concepts accessible to a broad audience, especially medical practitioners. Key topics include identifying useful data sources, defining the characteristics of well-designed datasets, and crafting high-quality instruction-input-output examples. We explore practical approaches to dataset construction, examining the advantages and limitations of 3 primary methods: fully manual preparation by expert annotators, fully synthetic generation using artificial intelligence (AI), and an innovative hybrid approach in which experts draft the initial dataset and AI generates additional data. Moreover, we discuss strategies for metadata selection and human evaluation to ensure the quality and effectiveness of ITDs. By integrating these elements, this tutorial provides a structured framework for establishing ITDs. It bridges technical and clinical domains, supporting the continued interdisciplinary advancement of AI in medicine. Additionally, we address the limitations of current practices and propose future directions, emphasizing the need for a global, unified framework for ITDs. We also argue that artificial general intelligence (AGI), if realized, will not replace empirical research in medicine. AGI will depend on human-curated datasets to process and apply medical knowledge. At the same time, ITDs will likely remain the most effective method of supplying this knowledge to AGI, positioning them as a critical tool in AI-driven health care.

Decreased air quality is connected to an increase in daily mortality rates. Thus, people’s behavioural response to sometimes elevated air pollution levels is vital. We aimed to analyse spatial and seasonal changes in air pollution-related information-seeking behaviour in response to nationwide reported air quality in Poland. Google Trends Search Volume Index data was used to investigate Poles’ interest in air pollution-related keywords. PM₁₀ and PM_2.5 concentrations measured across Poland between 2016 and 2019 as well as locations of monitoring stations were collected from the Chief Inspectorate of Environmental Protection databases. Pearson Product-Moment Correlation Coefficients were used to measure the strength of spatial and seasonal relationships between reported air pollution levels and the popularity of search queries. The highest PM₁₀ and PM_2.5 concentrations were observed in southern voivodeships and during the winter season. Similar trends were observed for Poles’ interest in air pollution-related keywords. Greater interest in air quality data in Poland strongly correlates with both higher regional and higher seasonal air pollution levels. It appears that Poles are socially aware of this issue and that their intensification of the information-seeking behaviour seems to indicate a relevant ad hoc response to variable threat severity levels.