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Plasma proteomic and autoantibody profiles reveal the proteomic characteristics involved in longevity families in Bama, China
BACKGROUND: Chinese Bama Yao Autonomous County is a well-known longevity region in the world. In the past 30 years, population and genome studies were undertaken to investigate the secret of longevity and showed that longevity is the result of a combination of multiple factors, such as genetic, envi...
Autores principales: | , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6526601/ https://www.ncbi.nlm.nih.gov/pubmed/31139026 http://dx.doi.org/10.1186/s12014-019-9242-4 |
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author | Ye, Shengliang Ma, Li Zhang, Rong Liu, Fengjuan Jiang, Peng Xu, Jun Cao, Haijun Du, Xi Lin, Fangzhao Cheng, Lu Zhou, Xuefeng Shi, Zhihui Liu, Yeheng Huang, Yaojin Wang, Zongkui Li, Changqing |
author_facet | Ye, Shengliang Ma, Li Zhang, Rong Liu, Fengjuan Jiang, Peng Xu, Jun Cao, Haijun Du, Xi Lin, Fangzhao Cheng, Lu Zhou, Xuefeng Shi, Zhihui Liu, Yeheng Huang, Yaojin Wang, Zongkui Li, Changqing |
author_sort | Ye, Shengliang |
collection | PubMed |
description | BACKGROUND: Chinese Bama Yao Autonomous County is a well-known longevity region in the world. In the past 30 years, population and genome studies were undertaken to investigate the secret of longevity and showed that longevity is the result of a combination of multiple factors, such as genetic, environmental and other causes. In this study, characteristics of the blood plasma proteomic and autoantibody profiles of people from Bama longevity family were investigated. METHODS: Sixty-six plasma donors from Chinese Bama longevity area were recruited in this study. Thirty-three offsprings of longevous families were selected as case studies (Longevous group) and 33 ABO (blood type), age, and gender-matched subjects from non-longevous families were selected as controls (Normal group). Each group contains 3 biological replicates. Tandem mass tag-based proteomic technique was used to investigate the differentially expressed plasma proteins between the two groups. The auto-reactive IgG antibody profiles of the 3 pooled samples in each group were revealed by human proteome microarrays with 17,000 recombinant human proteins. RESULTS: Firstly, 525 plasma proteins were quantified and 12 proteins were discovered differentially expressed between the two groups. Secondly, more than 500 proteins were recognized by plasma antibodies, 14 proteins ware differentially reacted with the autoantibodies in the two groups. Bioinformatics analysis showed some of the differential proteins and targeted autoantigens were involved in cancer, cardiovascular disease and immunity. CONCLUSIONS: Proteomic and autoantibody profiles varied between the offspring of longevous and normal families which are from the same area and shared the same environmental factors. The identified differences were reported to be involved in several physiological and pathological pathways. The identified proteins will contribute to a better understanding of the proteomic characteristics of people from Bama longevous area and a revelation of the molecular mechanisms of longevity. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12014-019-9242-4) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-6526601 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-65266012019-05-28 Plasma proteomic and autoantibody profiles reveal the proteomic characteristics involved in longevity families in Bama, China Ye, Shengliang Ma, Li Zhang, Rong Liu, Fengjuan Jiang, Peng Xu, Jun Cao, Haijun Du, Xi Lin, Fangzhao Cheng, Lu Zhou, Xuefeng Shi, Zhihui Liu, Yeheng Huang, Yaojin Wang, Zongkui Li, Changqing Clin Proteomics Research BACKGROUND: Chinese Bama Yao Autonomous County is a well-known longevity region in the world. In the past 30 years, population and genome studies were undertaken to investigate the secret of longevity and showed that longevity is the result of a combination of multiple factors, such as genetic, environmental and other causes. In this study, characteristics of the blood plasma proteomic and autoantibody profiles of people from Bama longevity family were investigated. METHODS: Sixty-six plasma donors from Chinese Bama longevity area were recruited in this study. Thirty-three offsprings of longevous families were selected as case studies (Longevous group) and 33 ABO (blood type), age, and gender-matched subjects from non-longevous families were selected as controls (Normal group). Each group contains 3 biological replicates. Tandem mass tag-based proteomic technique was used to investigate the differentially expressed plasma proteins between the two groups. The auto-reactive IgG antibody profiles of the 3 pooled samples in each group were revealed by human proteome microarrays with 17,000 recombinant human proteins. RESULTS: Firstly, 525 plasma proteins were quantified and 12 proteins were discovered differentially expressed between the two groups. Secondly, more than 500 proteins were recognized by plasma antibodies, 14 proteins ware differentially reacted with the autoantibodies in the two groups. Bioinformatics analysis showed some of the differential proteins and targeted autoantigens were involved in cancer, cardiovascular disease and immunity. CONCLUSIONS: Proteomic and autoantibody profiles varied between the offspring of longevous and normal families which are from the same area and shared the same environmental factors. The identified differences were reported to be involved in several physiological and pathological pathways. The identified proteins will contribute to a better understanding of the proteomic characteristics of people from Bama longevous area and a revelation of the molecular mechanisms of longevity. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12014-019-9242-4) contains supplementary material, which is available to authorized users. BioMed Central 2019-05-20 /pmc/articles/PMC6526601/ /pubmed/31139026 http://dx.doi.org/10.1186/s12014-019-9242-4 Text en © The Author(s) 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided 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 Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Ye, Shengliang Ma, Li Zhang, Rong Liu, Fengjuan Jiang, Peng Xu, Jun Cao, Haijun Du, Xi Lin, Fangzhao Cheng, Lu Zhou, Xuefeng Shi, Zhihui Liu, Yeheng Huang, Yaojin Wang, Zongkui Li, Changqing Plasma proteomic and autoantibody profiles reveal the proteomic characteristics involved in longevity families in Bama, China |
title | Plasma proteomic and autoantibody profiles reveal the proteomic characteristics involved in longevity families in Bama, China |
title_full | Plasma proteomic and autoantibody profiles reveal the proteomic characteristics involved in longevity families in Bama, China |
title_fullStr | Plasma proteomic and autoantibody profiles reveal the proteomic characteristics involved in longevity families in Bama, China |
title_full_unstemmed | Plasma proteomic and autoantibody profiles reveal the proteomic characteristics involved in longevity families in Bama, China |
title_short | Plasma proteomic and autoantibody profiles reveal the proteomic characteristics involved in longevity families in Bama, China |
title_sort | plasma proteomic and autoantibody profiles reveal the proteomic characteristics involved in longevity families in bama, china |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6526601/ https://www.ncbi.nlm.nih.gov/pubmed/31139026 http://dx.doi.org/10.1186/s12014-019-9242-4 |
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