【Introduction】IFN-a production test has gained the reputation of being reliable at determining the immune ability of individuals. Impaired IFN-a production is linked to an increase in the risk of developing cancer, diabetes mellitus and susceptibility to infection. Although high levels of IFN-a production is generally considered favourable, our longitudinal studies showed that transient increases in IFN-a production occurs in the early onset diseases such as borderline diabetes and cancer. Therefore, we believe it is important to distinguish between temporary enhancement or stable high levels of IFN so as to detect the early signs of disease.
【Methods】We determined IFN/Cytokine production, 27 plex serum cytokine /chemokine levels in addition to conducting health checks in temporary housing residents in Fukushima (Women: n=77, male: n=27). As oxidative stress is related to cancer, diabetes, and cardiac disease, we measured oxidative stress markers (Lox-1, Thiol oxidized LDL). These results were subjected to principal component analysis, non-negative matrix factorization, and grouped into six types.
【Results】Group 1: high IFN productivity and other markers were moderate, group 2: high IFN/cytokine productivity and serum cytokine/chemokines were moderate, group 3: high IFN productivity and high serum inflammatory cytokine/chemokine, this group also showed high Lox-1. Group 4: high IL - 5, IL-10, IL-13 productivity and others were moderate, group 5: high serum IP-10, and group 6: overall low levels.
【Discussion】Although the determining characteristics of each group needs further analysis, it is interesting that a high serum inflammatory cytokines/chemokines group was extracted from high IFN production group. This suggests that grouping based on principal component analysis and non-negative matrix factorization may be an effective method for analyzing multiple serum markers and extracting high-risk groups for certain illnesses or early detection of the onset of diseases.