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Plasma proteomic and autoantibody profiles reveal the proteomic characteristics involved in longevity families in Bama, China
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 an...
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Published in: | Clinical proteomics 2019-05, Vol.16 (1), p.22, Article 22 |
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creator | 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 |
description | 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.
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.
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.
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. |
doi_str_mv | 10.1186/s12014-019-9242-4 |
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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.
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.
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.</description><identifier>ISSN: 1542-6416</identifier><identifier>EISSN: 1559-0275</identifier><identifier>DOI: 10.1186/s12014-019-9242-4</identifier><identifier>PMID: 31139026</identifier><language>eng</language><publisher>England: BioMed Central Ltd</publisher><subject>ABO system ; Age ; Aging ; Antibodies ; Antigens ; Autoantibodies ; Autoantigens ; Autoimmunity ; Bioinformatics ; Biomarkers ; Blood ; Blood proteins ; Cardiovascular diseases ; Case studies ; Cell cycle ; Computational biology ; Disease ; Environmental factors ; Family ; Gastric cancer ; Genetic research ; Genomes ; Genomics ; Immunoglobulin G ; Infections ; Longevity ; Molecular modelling ; Offspring ; Peptides ; Physiological aspects ; Physiology ; Plasma proteins ; Population studies ; Proteins ; Proteomes ; Proteomics ; Studies ; Tumors</subject><ispartof>Clinical proteomics, 2019-05, Vol.16 (1), p.22, Article 22</ispartof><rights>COPYRIGHT 2019 BioMed Central Ltd.</rights><rights>2019. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>The Author(s) 2019</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c525t-ccb73b44f798211a670929d56d190ecbcbc17bb3e9488bc3b38586dce78d73463</citedby><cites>FETCH-LOGICAL-c525t-ccb73b44f798211a670929d56d190ecbcbc17bb3e9488bc3b38586dce78d73463</cites><orcidid>0000-0003-4477-3075</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/2242623191/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2242623191?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,25753,27924,27925,37012,37013,44590,53791,53793,75126</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/31139026$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Ye, Shengliang</creatorcontrib><creatorcontrib>Ma, Li</creatorcontrib><creatorcontrib>Zhang, Rong</creatorcontrib><creatorcontrib>Liu, Fengjuan</creatorcontrib><creatorcontrib>Jiang, Peng</creatorcontrib><creatorcontrib>Xu, Jun</creatorcontrib><creatorcontrib>Cao, Haijun</creatorcontrib><creatorcontrib>Du, Xi</creatorcontrib><creatorcontrib>Lin, Fangzhao</creatorcontrib><creatorcontrib>Cheng, Lu</creatorcontrib><creatorcontrib>Zhou, Xuefeng</creatorcontrib><creatorcontrib>Shi, Zhihui</creatorcontrib><creatorcontrib>Liu, Yeheng</creatorcontrib><creatorcontrib>Huang, Yaojin</creatorcontrib><creatorcontrib>Wang, Zongkui</creatorcontrib><creatorcontrib>Li, Changqing</creatorcontrib><title>Plasma proteomic and autoantibody profiles reveal the proteomic characteristics involved in longevity families in Bama, China</title><title>Clinical proteomics</title><addtitle>Clin Proteomics</addtitle><description>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.
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.
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.
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.</description><subject>ABO system</subject><subject>Age</subject><subject>Aging</subject><subject>Antibodies</subject><subject>Antigens</subject><subject>Autoantibodies</subject><subject>Autoantigens</subject><subject>Autoimmunity</subject><subject>Bioinformatics</subject><subject>Biomarkers</subject><subject>Blood</subject><subject>Blood proteins</subject><subject>Cardiovascular diseases</subject><subject>Case studies</subject><subject>Cell cycle</subject><subject>Computational biology</subject><subject>Disease</subject><subject>Environmental factors</subject><subject>Family</subject><subject>Gastric cancer</subject><subject>Genetic research</subject><subject>Genomes</subject><subject>Genomics</subject><subject>Immunoglobulin G</subject><subject>Infections</subject><subject>Longevity</subject><subject>Molecular modelling</subject><subject>Offspring</subject><subject>Peptides</subject><subject>Physiological aspects</subject><subject>Physiology</subject><subject>Plasma proteins</subject><subject>Population 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Shengliang</creator><creator>Ma, Li</creator><creator>Zhang, Rong</creator><creator>Liu, Fengjuan</creator><creator>Jiang, Peng</creator><creator>Xu, Jun</creator><creator>Cao, Haijun</creator><creator>Du, Xi</creator><creator>Lin, Fangzhao</creator><creator>Cheng, Lu</creator><creator>Zhou, Xuefeng</creator><creator>Shi, Zhihui</creator><creator>Liu, Yeheng</creator><creator>Huang, Yaojin</creator><creator>Wang, Zongkui</creator><creator>Li, Changqing</creator><general>BioMed Central Ltd</general><general>BioMed 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families in Bama, China</title><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></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c525t-ccb73b44f798211a670929d56d190ecbcbc17bb3e9488bc3b38586dce78d73463</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>ABO system</topic><topic>Age</topic><topic>Aging</topic><topic>Antibodies</topic><topic>Antigens</topic><topic>Autoantibodies</topic><topic>Autoantigens</topic><topic>Autoimmunity</topic><topic>Bioinformatics</topic><topic>Biomarkers</topic><topic>Blood</topic><topic>Blood proteins</topic><topic>Cardiovascular diseases</topic><topic>Case studies</topic><topic>Cell cycle</topic><topic>Computational 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Xuefeng</au><au>Shi, Zhihui</au><au>Liu, Yeheng</au><au>Huang, Yaojin</au><au>Wang, Zongkui</au><au>Li, Changqing</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Plasma proteomic and autoantibody profiles reveal the proteomic characteristics involved in longevity families in Bama, China</atitle><jtitle>Clinical proteomics</jtitle><addtitle>Clin Proteomics</addtitle><date>2019-05-20</date><risdate>2019</risdate><volume>16</volume><issue>1</issue><spage>22</spage><pages>22-</pages><artnum>22</artnum><issn>1542-6416</issn><eissn>1559-0275</eissn><abstract>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.
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.
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.
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.</abstract><cop>England</cop><pub>BioMed Central Ltd</pub><pmid>31139026</pmid><doi>10.1186/s12014-019-9242-4</doi><orcidid>https://orcid.org/0000-0003-4477-3075</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | ABO system Age Aging Antibodies Antigens Autoantibodies Autoantigens Autoimmunity Bioinformatics Biomarkers Blood Blood proteins Cardiovascular diseases Case studies Cell cycle Computational biology Disease Environmental factors Family Gastric cancer Genetic research Genomes Genomics Immunoglobulin G Infections Longevity Molecular modelling Offspring Peptides Physiological aspects Physiology Plasma proteins Population studies Proteins Proteomes Proteomics Studies Tumors |
title | Plasma proteomic and autoantibody profiles reveal the proteomic characteristics involved in longevity families in Bama, China |
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