Inflammation and aging-related disorders have arisen as pressing global health concerns, exerting a significant burden on public health systems. Aging is characterized by systemic chronic inflammation, leading to a spectrum of age-related disorders such as cancer, frailty, and metabolic and cardiovascular diseases. Inflammation—whether sterile or infectious, driven by autoimmune reactions or excessive immune responses—has been identified as a key factor contributing to these health challenges, a phenomenon often described as "inflammaging." The public health impact of these conditions is substantial, including increased healthcare costs, reduced quality of life, and population-level vulnerability.

The rapid advancements in bioinformatics and multi-omics—including genomics, transcriptomics, proteomics, metabolomics, and radiomics—hold promise for addressing these conditions from a public health perspective. Integrating multi-omics approaches may enhance our understanding of the risk factors, enable early detection, and facilitate the development of effective strategies for the prevention, management, and mitigation of the public health burden related to inflammation and aging-associated disorders.

This Research Topic aims to unite researchers from diverse fields to share their latest insights on population-level risk factors, biomarkers for disease screening, public health impacts, and prevention strategies for inflammation and aging-related disorders, all through the lens of modern omics technologies. We particularly welcome contributions that address public health policies, assessments of disease burden, and real-world interventions, alongside studies that bridge multi-omics with epidemiological and population health research.

To gather further insights into the public health dimensions of inflammation and aging-related disorders, we invite articles on the following themes:

-Population-level Applications of Omics: Use of genomics, proteomics, etc., to identify public health risk factors and design community interventions for aging-related diseases.

-Epidemiological Insights from Omics: Integrating omics data with epidemiological studies to uncover prevalence, incidence, and risk factors for inflammation and aging-related disorders.

-Biomarkers from Omics: Identification of novel biomarkers (with emphasis on their potential for disease screening and prevention in public health contexts).

-Public Health Policy and Omics: Translating omics findings into actionable public health policies and healthy aging strategies.

-Disease Burden Assessment: Utilizing omics to quantify and track the societal and health system impact of inflammation and aging-related disorders.

-Prevention Strategies: Developing and assessing omics-based screening, early detection, and prevention programs in populations.

-Environmental and Socioeconomic Interactions: Studying how genetic, environmental, and social determinants interact (using omics data) to influence public health outcomes in aging populations.

-Equity and Access: Evaluating the roles of omics in addressing health disparities in aging-related disease prevention and care.

-Case Studies: Real-world examples of implementing omics-informed public health interventions.

Please note: Submissions focused solely on strictly biological mechanisms are outside the scope of this Research Topic. All articles should be set within an aging and public health framework.

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Integrative Omics Approaches for Inflammation and Aging-Related Disease Prevention and Control