The “Exposome” is a concept that indicates the set of exposures to which a human is subjected during their lifetime. These factors influence the health state of individuals and can drive the development of Noncommunicable Diseases (NCDs). Artificial Intelligence (AI) allows one to analyze large amounts of data in a short time. As such, several authors have used AI to study the relationship between exposome and chronic diseases. Under such premises, this study reviews the use of AI in analyzing the exposome to understand its role in the development of chronic diseases, focusing on how AI can identify patterns in exposure-related data and support prevention strategies. To achieve this, we carried out a search on multiple databases, including PubMed, ScienceDirect, and SCOPUS, from 1 January 2019 to 31 May 2023, using the MeSH terms (exposome) and (‘Artificial Intelligence’ OR ‘Machine Learning’ OR ‘Deep Learning’) to identify relevant studies on this topic. After completing the identification, screening, and eligibility assessment, a total of 18 studies were included in this literature review. According to the search, most authors used supervised or unsupervised machine learning models to study multiple exposure factors’ role in the risk of developing cardiovascular, metabolic, and chronic respiratory diseases. In some more recent studies, authors also used deep learning. Furthermore, the exposome analysis is useful to study the risk of developing neuropsychiatric disorders or evaluating pregnancy outcomes and child growth. Understanding the role of the exposome is pivotal to overcome the classic concept of a single exposure/disease. The application of AI allows one to analyze multiple environmental risks and their combined effects on health conditions. In the future, AI could be helpful in the prevention of chronic diseases, providing new diagnostic, therapeutic, and follow-up strategies.

Vitamin D is a fat-soluble hormone essential for bone mineralization. In addition to this role, vitamin D is known for its immunomodulatory effects through its binding to intracellular vitamin D receptors (VDRs), which translocate to the nucleus of immune cells, including antigen-presenting cells (APC), B lymphocytes, T lymphocytes and monocytes, thereby modulating the transcription of genes responsible for the immune response. Vitamin D deficiency is associated with an increased risk of developing infections and autoimmune diseases. The purpose of this review is to evaluate vitamin D deficiency in patients with primary immunodeficiency (CVID, XLA, DGS, APECED, SCID, WAS, HIES), to assess its clinical and therapeutic impact. Vitamin D deficiency, often asymptomatic, is associated with more severe clinical conditions in subjects with PID. It can be associated with osteoporosis, fractures, myelofibrosis and endocrine disorders such as hypocalcemia. These patients responded beneficially to calcitriol therapy, underscoring the need for long-term monitoring.

Eosinophilic granulomatosis with polyangiitis (EGPA) is a rare vasculitis. A key bio-logical hallmark is peripheral blood eosinophilia while antineutrophil cytoplasmic an-tibody (ANCA) positivity is not always present. Therefore, an early phase suspicion of EGPA leading to a correct diagnosis can be challenging. We performed an observa-tional cross-sectional study limited to baseline data on 38 patients between December 2019 and December 2025 at the Allergy and Clinical Immunology Unit, Messina, Italy. Data collection included eosinophil, neutrophil, and lymphocyte counts; ANCAs and antinuclear antibodies (ANAs); erythrocyte sedimentation rate (ESR) and C-reactive protein (CRP) determination; and the Birmingham vasculitis activity score (BVAS) questionnaire: Median eosinophil counts were 685 cells/µL, the neutro-phil-to-lymphocyte ratio (NLR) was 2.29, ESR median values were 24 mm/h, and CRPs were 1.99 mg/L. ANCAs were positive in five patients, and ANAs in 20. The trend in ANA+ patients was of lower median eosinophil counts and higher ESR and CRP me-dian values and median BVASs. General, nervous system, and ENT BVAS domains had higher scores.: Disease activity in EGPA at diagnosis can be difficult to recognize. We defined it as chameleon-like and could not be captured by specific immunological sig-natures. Therefore, an early diagnosis needs multidimensional assessment, integrating laboratory parameters with clinical scores. In our EGPA cohort, ANAs were detected in just over half the patients, suggesting that rather than acting as bystanders, these could help clinicians, together with eosinophil counts, NLRs, and BVASs, to suspect EGPA at an early stage for referral to specialized medical centers.

Allergic anisakiasis (AA), caused by the ingestion of fish contaminated with Anisakis larvae, has emerged as a growing global health concern due to the increasing consumption of raw or undercooked seafood. Anisakis simplex is identified as the primary etiologic species, responsible for gastrointestinal symptoms, IgE-mediated (Type I) or cell-mediated (Type IV) manifestations, and gastro-allergic anisakiasis (GAA), a unique clinical overlap between parasitic infection and acute IgE-mediated food allergy. In this review, we analyzed the epidemiology of Anisakis simplex allergy, the main diagnostic methods to confirm a diagnosis of food allergy, its clinical manifestations, and how these differ in different countries around the world. This multidisciplinary synthesis provides, for the first time, an integrated understanding of Anisakis-induced disease mechanisms across human, animal, and cellular levels. The persistence of allergenic proteins despite standard food processing underscores the need for improved diagnostic tools, public health surveillance, and preventive strategies—particularly in populations with high seafood consumption or occupational exposure. A comprehensive approach combining clinical, molecular, and immunological perspectives is essential to address the expanding global burden of allergic anisakiasis.