caa a22 4500 528783599 20200502064223.0 cr unu---uuuuu 180924e20140606xx s 000 0 eng 10.3929/ethz-b-000164100 doi 10.1371/journal.pone.0098932 doi (ETHRESEARCH)oai:www.research-collection.ethz.ch:20.500.11850/281612 Automated Assessment of beta-Cell Area and Density per Islet and Patient Using TMEM27 and BACE2 Immunofluorescence Staining in Human Pancreatic beta-Cells [Elektronische Daten] [Markus P. Rechsteiner, Xenofon Floros, Bernhard O. Boehm, Lorella Marselli, Piero Marchetti, Markus Stoffel, Holger Moch, Giatgen A. Spinas] PLoS ONE Open access ethresearch In this study we aimed to establish an unbiased automatic quantification pipeline to assess islet specific features such as beta-cell area and density per islet based on immunofluorescence stainings. To determine these parameters, the in vivo protein expression levels of TMEM27 and BACE2 in pancreatic islets of 32 patients with type 2 diabetes (T2D) and in 28 non-diabetic individuals (ND) were used as input for the automated pipeline. The output of the automated pipeline was first compared to a previously developed manual area scoring system which takes into account the intensity of the staining as well as the percentage of cells which are stained within an islet. The median TMEM27 and BACE2 area scores of all islets investigated per patient correlated significantly with the manual scoring and with the median area score of insulin. Furthermore, the median area scores of TMEM27, BACE2 and insulin calculated from all T2D were significantly lower compared to the one of all ND. TMEM27, BACE2, and insulin area scores correlated as well in each individual tissue specimen. Moreover, islet size determined by costaining of glucagon and either TMEM27 or BACE2 and beta-cell density based either on TMEM27 or BACE2 positive cells correlated significantly. Finally, the TMEM27 area score showed a positive correlation with BMI in ND and an inverse pattern in T2D. In summary, automated quantification outperforms manual scoring by reducing time and individual bias. The simultaneous changes of TMEM27, BACE2, and insulin in the majority of the beta-cells suggest that these proteins reflect the total number of functional insulin producing beta-cells. Additionally, beta-cell subpopulations may be identified which are positive for TMEM27, BACE2 or insulin only. Thus, the cumulative assessment of all three markers may provide further information about the real beta-cell number per islet. Creative Commons Attribution 4.0 International http://creativecommons.org/licenses/by/4.0 ethresearch Rechsteiner Markus P. joint author Floros Xenofon joint author Boehm Bernhard O. joint author Marselli Lorella joint author Marchetti Piero joint author Stoffel Markus joint author Moch Holger joint author Spinas Giatgen A. joint author PLoS ONE S.l. : Public Library of Science 9 (6), p. e98932 1932-6203 http://hdl.handle.net/20.500.11850/281612 text/html WWW-Backlink auf das Repository (Open access) 1 Journal Article ethresearch ETHRESEARCH 856 40 http://hdl.handle.net/20.500.11850/281612 text/html WWW-Backlink auf das Repository (Open access) ETHRESEARCH 700 1- Rechsteiner Markus P. joint author ETHRESEARCH 700 1- Floros Xenofon joint author ETHRESEARCH 700 1- Boehm Bernhard O. joint author ETHRESEARCH 700 1- Marselli Lorella joint author ETHRESEARCH 700 1- Marchetti Piero joint author ETHRESEARCH 700 1- Stoffel Markus joint author ETHRESEARCH 700 1- Moch Holger joint author ETHRESEARCH 700 1- Spinas Giatgen A. joint author ETHRESEARCH 773 0- PLoS ONE S.l. : Public Library of Science 9 (6), p. e98932 1932-6203 BK010053 XK010053 XK010000 ETHRESEARCH ETHRESEARCH ETHRESEARCH Journal Article Open access