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Kira Trares (1994-)

Name	Kira Trares
Zeit	1994- (Lebensdaten)
Ort	Heppenheim (Bergstraße) (Geburtsort) Heidelberg (Wirkungsort) Deutschland
Geschlecht	weiblich
Akademischer Grad bzw. Titel	Dr. sc. hum. (an der Medizinischen Fakultät Heidelberg der Ruprecht-Karls-Universität) (2023)
Variante	Kira M. Trares Kira Martina Trares
Beziehung	Netzwerk Alternsforschung Bioinformatik (Thema)
Datensatztyp	Person
GND-Nummer	1221159763
Datensatz-ID	1221159763
Beteiligt an alle anzeigen Subjective cognitive complaints and blood biomarkers of neurodegenerative diseases: a longitudinal cohort study Alzheimer’s polygenic risk scores, APOE, Alzheimer’s disease risk, and dementia-related blood biomarker levels in a population-based cohort study followed over 17 years Improved risk prediction of all-cause dementia, Alzheimer’s disease, and vascular dementia by biomarkers of oxidative stress and inflammation Long-term low-dose acetylsalicylic use shows protective potential for the development of both vascular dementia and Alzheimer’s disease in patients with coronary heart disease but not in other individuals from the general population: results from two large cohort studies Novel associations between inflammation-related proteins and adiposity: a targeted proteomics approach across four population-based studies

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Kira Trares (1994-)

Subjective cognitive complaints and blood biomarkers of neurodegenerative diseases: a longitudinal cohort study

Alzheimer’s polygenic risk scores, APOE, Alzheimer’s disease risk, and dementia-related blood biomarker levels in a population-based cohort study followed over 17 years

Improved risk prediction of all-cause dementia, Alzheimer’s disease, and vascular dementia by biomarkers of oxidative stress and inflammation

Long-term low-dose acetylsalicylic use shows protective potential for the development of both vascular dementia and Alzheimer’s disease in patients with coronary heart disease but not in other individuals from the general population: results from two large cohort studies

Novel associations between inflammation-related proteins and adiposity: a targeted proteomics approach across four population-based studies