Metabolite and protein associations with general health in the population-based CHRIS study
Abstract Identifying biomarkers able to discriminate individuals on different health trajectories is crucial to understand the molecular basis of age-related morbidity. We investigated multi-omics signatures of general health and organ-specific morbidity, as well as their interconnectivity. We exami...
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Nature Portfolio
2024-11-01
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| Online Access: | https://doi.org/10.1038/s41598-024-75627-3 |
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| author | Essi Hantikainen Christian X. Weichenberger Nikola Dordevic Vinicius Verri Hernandes Luisa Foco Martin Gögele Roberto Melotti Cristian Pattaro Markus Ralser Fatma Amari Vadim Farztdinov Michael Mülleder Peter P. Pramstaller Johannes Rainer Francisco S. Domingues |
| author_facet | Essi Hantikainen Christian X. Weichenberger Nikola Dordevic Vinicius Verri Hernandes Luisa Foco Martin Gögele Roberto Melotti Cristian Pattaro Markus Ralser Fatma Amari Vadim Farztdinov Michael Mülleder Peter P. Pramstaller Johannes Rainer Francisco S. Domingues |
| author_sort | Essi Hantikainen |
| collection | DOAJ |
| description | Abstract Identifying biomarkers able to discriminate individuals on different health trajectories is crucial to understand the molecular basis of age-related morbidity. We investigated multi-omics signatures of general health and organ-specific morbidity, as well as their interconnectivity. We examined cross-sectional metabolome and proteome data from 3,142 adults of the Cooperative Health Research in South Tyrol (CHRIS) study, an Alpine population study designed to investigate how human biology, environment, and lifestyle factors contribute to people’s health over time. We had 174 metabolites and 148 proteins quantified from fasting serum and plasma samples. We used the Cumulative Illness Rating Scale (CIRS) Comorbidity Index (CMI), which considers morbidity in 14 organ systems, to assess health status (any morbidity vs. healthy). Omics-signatures for health status were identified using random forest (RF) classifiers. Linear regression models were fitted to assess directionality of omics markers and health status associations, as well as to identify omics markers related to organ-specific morbidity. Next to age, we identified 21 metabolites and 10 proteins as relevant predictors of health status and results confirmed associations for serotonin and glutamate to be age-independent. Considering organ-specific morbidity, several metabolites and proteins were jointly related to endocrine, cardiovascular, and renal morbidity. To conclude, circulating serotonin was identified as a potential novel predictor for overall morbidity. |
| format | Article |
| id | doaj-art-f1b996cf3d124b16bb671e5e3ef1caa8 |
| institution | Kabale University |
| issn | 2045-2322 |
| language | English |
| publishDate | 2024-11-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj-art-f1b996cf3d124b16bb671e5e3ef1caa82024-11-10T12:22:50ZengNature PortfolioScientific Reports2045-23222024-11-0114111310.1038/s41598-024-75627-3Metabolite and protein associations with general health in the population-based CHRIS studyEssi Hantikainen0Christian X. Weichenberger1Nikola Dordevic2Vinicius Verri Hernandes3Luisa Foco4Martin Gögele5Roberto Melotti6Cristian Pattaro7Markus Ralser8Fatma Amari9Vadim Farztdinov10Michael Mülleder11Peter P. Pramstaller12Johannes Rainer13Francisco S. Domingues14Institute for Biomedicine, Eurac ResearchInstitute for Biomedicine, Eurac ResearchInstitute for Biomedicine, Eurac ResearchDepartment of Food Chemistry and Toxicology, University of ViennaInstitute for Biomedicine, Eurac ResearchInstitute for Biomedicine, Eurac ResearchInstitute for Biomedicine, Eurac ResearchInstitute for Biomedicine, Eurac ResearchDepartment of Biochemistry, Charité – Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu BerlinDepartment of Biochemistry, Charité – Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu BerlinCore Facility, High-Throughput Mass Spectrometry, Charité, Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu BerlinCore Facility, High-Throughput Mass Spectrometry, Charité, Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu BerlinInstitute for Biomedicine, Eurac ResearchInstitute for Biomedicine, Eurac ResearchInstitute for Biomedicine, Eurac ResearchAbstract Identifying biomarkers able to discriminate individuals on different health trajectories is crucial to understand the molecular basis of age-related morbidity. We investigated multi-omics signatures of general health and organ-specific morbidity, as well as their interconnectivity. We examined cross-sectional metabolome and proteome data from 3,142 adults of the Cooperative Health Research in South Tyrol (CHRIS) study, an Alpine population study designed to investigate how human biology, environment, and lifestyle factors contribute to people’s health over time. We had 174 metabolites and 148 proteins quantified from fasting serum and plasma samples. We used the Cumulative Illness Rating Scale (CIRS) Comorbidity Index (CMI), which considers morbidity in 14 organ systems, to assess health status (any morbidity vs. healthy). Omics-signatures for health status were identified using random forest (RF) classifiers. Linear regression models were fitted to assess directionality of omics markers and health status associations, as well as to identify omics markers related to organ-specific morbidity. Next to age, we identified 21 metabolites and 10 proteins as relevant predictors of health status and results confirmed associations for serotonin and glutamate to be age-independent. Considering organ-specific morbidity, several metabolites and proteins were jointly related to endocrine, cardiovascular, and renal morbidity. To conclude, circulating serotonin was identified as a potential novel predictor for overall morbidity.https://doi.org/10.1038/s41598-024-75627-3Health statusMetabolomicsProteomicsComorbidityAgingCHRIS study |
| spellingShingle | Essi Hantikainen Christian X. Weichenberger Nikola Dordevic Vinicius Verri Hernandes Luisa Foco Martin Gögele Roberto Melotti Cristian Pattaro Markus Ralser Fatma Amari Vadim Farztdinov Michael Mülleder Peter P. Pramstaller Johannes Rainer Francisco S. Domingues Metabolite and protein associations with general health in the population-based CHRIS study Scientific Reports Health status Metabolomics Proteomics Comorbidity Aging CHRIS study |
| title | Metabolite and protein associations with general health in the population-based CHRIS study |
| title_full | Metabolite and protein associations with general health in the population-based CHRIS study |
| title_fullStr | Metabolite and protein associations with general health in the population-based CHRIS study |
| title_full_unstemmed | Metabolite and protein associations with general health in the population-based CHRIS study |
| title_short | Metabolite and protein associations with general health in the population-based CHRIS study |
| title_sort | metabolite and protein associations with general health in the population based chris study |
| topic | Health status Metabolomics Proteomics Comorbidity Aging CHRIS study |
| url | https://doi.org/10.1038/s41598-024-75627-3 |
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