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| dc.contributor.author | Boyko, N. | en |
| dc.contributor.author | Meleshko, T. | en |
| dc.contributor.author | Chendey, T. | en |
| dc.contributor.author | Lypey, I. | en |
| dc.contributor.author | Pallah, O. | en |
| dc.contributor.author | Burmei, S. | en |
| dc.contributor.author | Drobnych, V. | en |
| dc.contributor.author | Artyomenko, V. | en |
| dc.contributor.author | Yusko, L. | en |
| dc.date.accessioned | 2025-10-13T08:36:31Z | |
| dc.date.available | 2025-10-13T08:36:31Z | |
| dc.date.issued | 2025 | |
| dc.identifier.citation | Microbiome biomarkers in precise diagnostics and nutrition, mental health and longevity of working and elderly populations / N. Boyko, T. Meleshko, T. Chendey et al. // BIO Web of Conferences. 2025. P. 1–8. | en |
| dc.identifier.uri | https://repo.odmu.edu.ua:443/xmlui/handle/123456789/18368 | |
| dc.description.abstract | The role of the gut microbiome and environment in influencing mental health and longevity has been recently determined and highlighted. To identify gut (oral) microbiome signatures and biochemical markers associated with mental health and longevity in working-age and elderly individuals. To enable the development of personalized diagnostics and prevention strategies based on mathematical models for mental-age-relevant diseases. Fecal and blood samples were collected from participants across two cohort groups, including working-age, elderly local and refugees. Gut microbiota composition was analyzed via 16S rRNA gene sequencing. Blood samples underwent standard biochemical testing, including lipid profiles, liver and kidney function, glucose levels, and oxidative stress markers. Mental health status was assessed through validated psychological questionnaires and cognitive screening tools. Correlations between microbiome patterns, blood biomarkers, and mental health indicators were analyzed using multivariate statistical methods. PCA were applied to build prognostic models. Participants with greater microbial diversity and higher abundance of beneficial taxa such as Lactobacillus and Bifidobacterium showed more favorable biochemical profiles and better mental health scores. Distinct microbiome patterns were observed between working and elderly individuals, some of which were linked to markers of healthy aging. The integration of sequencing and clinical data supports the potential of gut microbiota as a predictive tool for assessing psychological resilience and longevity. Lacticaseibacillus rhamnosus S25 strain was selected as the potential component of pharmabiotic DefendeX™ for PTSD prevention and treatment. Individual nutrition plans are created by using the algorithm of Ediens (BioQuantum). | en |
| dc.language.iso | en | en |
| dc.subject | microbiome | en |
| dc.subject | biomarkers | en |
| dc.subject | precision diagnostics | en |
| dc.subject | mental health | en |
| dc.subject | longevity | en |
| dc.subject | PTSD | en |
| dc.subject | prognostic models | en |
| dc.title | Microbiome biomarkers in precise diagnostics and nutrition, mental health and longevity of working and elderly populations | en |
| dc.type | Article | en |