رسالة جامعية
A Novel Bioinformatics Approach for Disease and Mortality Risk Prediction ; Ein neuer, bioinformatischer Ansatz der Prädiktion von Krankheits- und Mortalitätsrisiko
| العنوان: | A Novel Bioinformatics Approach for Disease and Mortality Risk Prediction ; Ein neuer, bioinformatischer Ansatz der Prädiktion von Krankheits- und Mortalitätsrisiko |
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| المؤلفون: | Spägele, Nina |
| المساهمون: | female, N.N. |
| سنة النشر: | 2024 |
| المجموعة: | FU Berlin: Refubium |
| مصطلحات موضوعية: | risk prediction, biomarkers, mortality, ddc:610 |
| الوصف: | Theoretical Background. The prevalence of non-communicable diseases are continuously increasing requiring simple and inexpensive ways to identify individuals at risk for developing these disorders to target with preventive approaches. Study Aims. The current study aims to introduce a novel biomarker-based risk indicator, to link this novel tool to commonly recognized health risk factors, to relate it to current disease burden, and to prospectively identify individuals at risk for premature mortality and reduced everyday functioning. Methods. K-mean clusters were identified based on C-reactive protein (CRP), interleukin-6 (IL-6), fibrinogen, cortisol, and creatinine concentrations in a U.S. American sample (N=1,234) and validated in a Japanese sample (N=378). The association of the resulting clusters with biological sex, age, body mass index (BMI), physical activity, alcohol, and smoking habits as well as early-life stress were examined. Odds ratios for depression, heart disease, hypertension, peptic ulcer disease, stroke, and cancer were compared between individuals in the identified biochemical clusters. The identified clusters were used to predict mortality and the inability to work (=number of sick days during the last 30 days) 10 years following the biomarker assessment. Results. Three distinct biochemical clusters were identified and validated. One of these clusters was characterized by average concentrations of all considered biomarkers (=reference cluster), one by average concentrations of CRP, IL-6, and fibrinogen but above-average levels of cortisol and creatinine (=metabo-endocrine cluster), and a third one characterized by above-average levels of CRP, IL-6, and fibrinogen, and average levels of cortisol and creatinine (=high-risk cluster). Compared to the other identified clusters, the high-risk cluster consisted of a significantly higher proportion of men vs. women, and individuals with a higher BMI, lower physical activity, and higher reported exposures to early-life stress. This cluster had the ... |
| نوع الوثيقة: | doctoral or postdoctoral thesis |
| وصف الملف: | application/pdf |
| اللغة: | English |
| العلاقة: | https://refubium.fu-berlin.de/handle/fub188/41496Test; http://dx.doi.org/10.17169/refubium-41218Test; urn:nbn:de:kobv:188-refubium-41496-9 |
| DOI: | 10.17169/refubium-41218 |
| الإتاحة: | https://doi.org/10.17169/refubium-41218Test https://refubium.fu-berlin.de/handle/fub188/41496Test https://nbn-resolving.org/urn:nbn:de:kobv:188-refubium-41496-9Test |
| حقوق: | http://www.fu-berlin.de/sites/refubium/rechtliches/NutzungsbedingungenTest |
| رقم الانضمام: | edsbas.BB5DEE1 |
| قاعدة البيانات: | BASE |
| DOI: | 10.17169/refubium-41218 |
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