F. H. Grus
University of Mainz
18 Papers
76 Citations
F. H. Grus is an academic researcher from University of Mainz. The author has contributed to research in topics: Glaucoma & Autoantibody. The author has an hindex of 9, co-authored 18 publications.
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Papers
Comparison of tear protein levels in breast cancer patients and healthy controls using a de novo proteomic approach
D Böhm,Ksenia Keller,Julia Pieter,Nils Boehm,Dominik Wolters,W. Siggelkow,Antje Lebrecht,Marcus Schmidt,Heinz Kölbl,Norbert Pfeiffer,F. H. Grus +10 more
TL;DR: An analysis of proteins in the tear fluid from breast carcinoma patients and healthy women using a de novo proteomic approach and 25 mixed samples from each group found several proteins that had modified expression in breast cancer patients.
•Journal Article
Transthyretin and complex protein pattern in aqueous humor of patients with primary open-angle glaucoma.
F. H. Grus,Stephanie C. Joachim,S. Sandmann,U. Thiel,K. Bruns,Karl J. Lackner,Norbert Pfeiffer +6 more
TL;DR: The aqueous humor of glaucoma patients revealed characteristic differences in protein/peptide profiles from control patients using two different analytical methods, SELDI-TOF-MS and two-dimensional electrophoresis.
62
Proteomics in autoimmune thyroid eye disease.
TL;DR: The majority of the proteins was downregulated in the patient group, with only few proteins overexpressed in comparison to healthy controls, and these proteins may serve as biomarkers for diagnosis and follow-up during treatment.
39
Enhanced characterization of serum autoantibody reactivity following HSP 60 immunization in a rat model of experimental autoimmune glaucoma.
TL;DR: This is the first study to identify the appearance and disappearance of retinal autoantibodies in the serum of rats at several time-points following their initial upregulation in response to HSP 60 immunization in a model of experimental autoimmune glaucoma.
34
Serum proteome profiling of primary breast cancer indicates a specific biomarker profile.
TL;DR: 14 biomarkers whose combination detects breast cancer patients from non-cancer controls with a sensitivity of 89% and specificity of 67%.