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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...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
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.
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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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