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Quantitative analysis of intra- and inter-individual variability of human beta-cell mass
Pancreatic beta-cell mass is a critical determinant of the progression of diabetes. The loss of beta-cells in various types of diabetes has been documented in comparison to age, sex and body mass index (BMI) matched control subjects. However, the underlying heterogeneity of beta-cell mass in healthy...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5703964/ https://www.ncbi.nlm.nih.gov/pubmed/29180621 http://dx.doi.org/10.1038/s41598-017-16300-w |
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author | Olehnik, Scott K. Fowler, Jonas L. Avramovich, Gil Hara, Manami |
author_facet | Olehnik, Scott K. Fowler, Jonas L. Avramovich, Gil Hara, Manami |
author_sort | Olehnik, Scott K. |
collection | PubMed |
description | Pancreatic beta-cell mass is a critical determinant of the progression of diabetes. The loss of beta-cells in various types of diabetes has been documented in comparison to age, sex and body mass index (BMI) matched control subjects. However, the underlying heterogeneity of beta-cell mass in healthy individuals has not been considered. In this study, the inter-individual heterogeneity in beta-cell/islet mass was examined among 10 cases of age-matched non-diabetic male subjects in relation to BMI, pancreas weight, and the percent ratio, volume and number of islets in the whole pancreas. Beta-cell/islet mass was measured using a large-scale unbiased quantification method. In contrast to previous studies, we found no clinically relevant correlation between beta-cell/islet mass and age, BMI or pancreas weight, with large differences in beta-cell/islet mass and islet number among the individuals. Our method extracts the comprehensive information out of individual pancreas providing multifaceted parameters to study the intrinsic heterogeneity of the human pancreas. |
format | Online Article Text |
id | pubmed-5703964 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-57039642017-11-30 Quantitative analysis of intra- and inter-individual variability of human beta-cell mass Olehnik, Scott K. Fowler, Jonas L. Avramovich, Gil Hara, Manami Sci Rep Article Pancreatic beta-cell mass is a critical determinant of the progression of diabetes. The loss of beta-cells in various types of diabetes has been documented in comparison to age, sex and body mass index (BMI) matched control subjects. However, the underlying heterogeneity of beta-cell mass in healthy individuals has not been considered. In this study, the inter-individual heterogeneity in beta-cell/islet mass was examined among 10 cases of age-matched non-diabetic male subjects in relation to BMI, pancreas weight, and the percent ratio, volume and number of islets in the whole pancreas. Beta-cell/islet mass was measured using a large-scale unbiased quantification method. In contrast to previous studies, we found no clinically relevant correlation between beta-cell/islet mass and age, BMI or pancreas weight, with large differences in beta-cell/islet mass and islet number among the individuals. Our method extracts the comprehensive information out of individual pancreas providing multifaceted parameters to study the intrinsic heterogeneity of the human pancreas. Nature Publishing Group UK 2017-11-27 /pmc/articles/PMC5703964/ /pubmed/29180621 http://dx.doi.org/10.1038/s41598-017-16300-w Text en © The Author(s) 2017 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Olehnik, Scott K. Fowler, Jonas L. Avramovich, Gil Hara, Manami Quantitative analysis of intra- and inter-individual variability of human beta-cell mass |
title | Quantitative analysis of intra- and inter-individual variability of human beta-cell mass |
title_full | Quantitative analysis of intra- and inter-individual variability of human beta-cell mass |
title_fullStr | Quantitative analysis of intra- and inter-individual variability of human beta-cell mass |
title_full_unstemmed | Quantitative analysis of intra- and inter-individual variability of human beta-cell mass |
title_short | Quantitative analysis of intra- and inter-individual variability of human beta-cell mass |
title_sort | quantitative analysis of intra- and inter-individual variability of human beta-cell mass |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5703964/ https://www.ncbi.nlm.nih.gov/pubmed/29180621 http://dx.doi.org/10.1038/s41598-017-16300-w |
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