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Unveiling Malnutrition and Metabolic Changes in Lung Cancer Patients: Setting the Basis for Precision Nutrition Models.
Malnutrition is a major cause of morbidity in a large portion of the population, particularly among people with specific medical conditions-such as lung cancer patients-and vulnerable population groups, such as pregnant women and the elderly. Lung cancer represents one of the most significant health problems in today's society, with an incidence of 1.8 million cases per year (13% of all cancer cases) and an estimated mortality of 1.6 million deaths annually, making it the leading cause of cancer-related death worldwide. The aim of this study is to collect data from different lung cancer patients in order to establish a precision nutrition recommendation model. The model will be capable of comprehensively characterizing the nutritional and metabolic status of individuals with nutritional impairment and, therefore, provide personalized dietary solutions based on the unique characteristics of each individual. To date, the number of personalized nutritional approaches to address malnutrition is relatively small; they have only been applied in very specific cases and generally have not addressed nutritional deficiencies as a whole but rather individual deficiencies. Additionally, these initiatives focused more on stratified nutrition (for groups of individuals) rather than precision nutrition (for individual persons), and in almost no case were factors such as genetics and the microbiome-key components of personalized nutrition-taken into account. This highlights the need to generate precision nutrition models that are capable of addressing the complexity of each individual and providing unique solutions for each nutritional and metabolic state. Despite the interest in these initiatives, no precise dietary personalization that considers the singularities of patients has been carried out to date. The proposed intervention is a prospective study whose main objective is to collect data for the proper and precise characterization of malnutrition status in lung cancer pati
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