Loading…

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...

Full description

Saved in:
Bibliographic Details
Published in:Clinical proteomics 2019-05, Vol.16 (1), p.22, Article 22
Main Authors: 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
Format: Article
Language:English
Subjects:
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by cdi_FETCH-LOGICAL-c525t-ccb73b44f798211a670929d56d190ecbcbc17bb3e9488bc3b38586dce78d73463
cites cdi_FETCH-LOGICAL-c525t-ccb73b44f798211a670929d56d190ecbcbc17bb3e9488bc3b38586dce78d73463
container_end_page
container_issue 1
container_start_page 22
container_title Clinical proteomics
container_volume 16
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
format article
fullrecord <record><control><sourceid>gale_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_6526601</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A586518949</galeid><sourcerecordid>A586518949</sourcerecordid><originalsourceid>FETCH-LOGICAL-c525t-ccb73b44f798211a670929d56d190ecbcbc17bb3e9488bc3b38586dce78d73463</originalsourceid><addsrcrecordid>eNptks-L1TAQx4so7rr6B3iRgiB7sGuSpmlyEdaHv2BBD3oOaTp9zZImzyQtvIP_-6a8dX1PZA4ZMp-ZZGa-RfESoyuMOXsXMUGYVgiLShBKKvqoOMdNIypE2ubx6udLRjE7K57FeIsQEVTwp8VZjXEtEGHnxe_vVsVJlbvgE_jJ6FK5vlRz8sol0_l-v4YGYyGWARZQtkwjHOF6VEHpBMHEZHQsjVu8XaDPTmm928Ji0r4c1GSsgTVcflCTeltuRuPU8-LJoGyEF_fnRfHz08cfmy_VzbfPXzfXN5VuSJMqrbu27igdWsEJxoq1SBDRN6zHAoHusuG262oQlPNO113NG856DS3v25qy-qJ4f6i7m7sJcsCloKzcBTOpsJdeGXkacWaUW79I1hDGEM4FLu8LBP9rhpjkZKIGa5UDP0dJSI15wzinGX39D3rr5-Bye5mihGVS4L_UVlmQxg0-v6vXovI6_73BPK8qU1f_obL1kGfvHayLOU14c5Qw5nWlMXo7J-NdPAXxAdTBxxhgeBgGRnIVlzyIS2ZxyVVccu3s1fEUHzL-qKm-A7YhyvU</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2242623191</pqid></control><display><type>article</type><title>Plasma proteomic and autoantibody profiles reveal the proteomic characteristics involved in longevity families in Bama, China</title><source>Publicly Available Content Database (Proquest) (PQ_SDU_P3)</source><source>PubMed</source><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</creator><creatorcontrib>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</creatorcontrib><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><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 studies</subject><subject>Proteins</subject><subject>Proteomes</subject><subject>Proteomics</subject><subject>Studies</subject><subject>Tumors</subject><issn>1542-6416</issn><issn>1559-0275</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><recordid>eNptks-L1TAQx4so7rr6B3iRgiB7sGuSpmlyEdaHv2BBD3oOaTp9zZImzyQtvIP_-6a8dX1PZA4ZMp-ZZGa-RfESoyuMOXsXMUGYVgiLShBKKvqoOMdNIypE2ubx6udLRjE7K57FeIsQEVTwp8VZjXEtEGHnxe_vVsVJlbvgE_jJ6FK5vlRz8sol0_l-v4YGYyGWARZQtkwjHOF6VEHpBMHEZHQsjVu8XaDPTmm928Ji0r4c1GSsgTVcflCTeltuRuPU8-LJoGyEF_fnRfHz08cfmy_VzbfPXzfXN5VuSJMqrbu27igdWsEJxoq1SBDRN6zHAoHusuG262oQlPNO113NG856DS3v25qy-qJ4f6i7m7sJcsCloKzcBTOpsJdeGXkacWaUW79I1hDGEM4FLu8LBP9rhpjkZKIGa5UDP0dJSI15wzinGX39D3rr5-Bye5mihGVS4L_UVlmQxg0-v6vXovI6_73BPK8qU1f_obL1kGfvHayLOU14c5Qw5nWlMXo7J-NdPAXxAdTBxxhgeBgGRnIVlzyIS2ZxyVVccu3s1fEUHzL-qKm-A7YhyvU</recordid><startdate>20190520</startdate><enddate>20190520</enddate><creator>Ye, 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 Central</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7T5</scope><scope>7X7</scope><scope>7XB</scope><scope>88A</scope><scope>8AO</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>BKSAR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>LK8</scope><scope>M0S</scope><scope>M7P</scope><scope>PCBAR</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0003-4477-3075</orcidid></search><sort><creationdate>20190520</creationdate><title>Plasma proteomic and autoantibody profiles reveal the proteomic characteristics involved in longevity 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 biology</topic><topic>Disease</topic><topic>Environmental factors</topic><topic>Family</topic><topic>Gastric cancer</topic><topic>Genetic research</topic><topic>Genomes</topic><topic>Genomics</topic><topic>Immunoglobulin G</topic><topic>Infections</topic><topic>Longevity</topic><topic>Molecular modelling</topic><topic>Offspring</topic><topic>Peptides</topic><topic>Physiological aspects</topic><topic>Physiology</topic><topic>Plasma proteins</topic><topic>Population studies</topic><topic>Proteins</topic><topic>Proteomes</topic><topic>Proteomics</topic><topic>Studies</topic><topic>Tumors</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><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><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Immunology Abstracts</collection><collection>Health &amp; Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Biology Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>AUTh Library subscriptions: ProQuest Central</collection><collection>ProQuest Natural Science Collection</collection><collection>Earth, Atmospheric &amp; Aquatic Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health &amp; Medical Complete (Alumni)</collection><collection>ProQuest Biological Science Collection</collection><collection>Health &amp; Medical Collection (Alumni Edition)</collection><collection>Biological Science Database</collection><collection>ProQuest Earth, Atmospheric &amp; Aquatic Science Database</collection><collection>Publicly Available Content Database (Proquest) (PQ_SDU_P3)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Clinical proteomics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ye, Shengliang</au><au>Ma, Li</au><au>Zhang, Rong</au><au>Liu, Fengjuan</au><au>Jiang, Peng</au><au>Xu, Jun</au><au>Cao, Haijun</au><au>Du, Xi</au><au>Lin, Fangzhao</au><au>Cheng, Lu</au><au>Zhou, 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>
fulltext fulltext
identifier ISSN: 1542-6416
ispartof Clinical proteomics, 2019-05, Vol.16 (1), p.22, Article 22
issn 1542-6416
1559-0275
language eng
recordid cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_6526601
source Publicly Available Content Database (Proquest) (PQ_SDU_P3); PubMed
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
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-27T16%3A50%3A49IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_pubme&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Plasma%20proteomic%20and%20autoantibody%20profiles%20reveal%20the%20proteomic%20characteristics%20involved%20in%20longevity%20families%20in%20Bama,%20China&rft.jtitle=Clinical%20proteomics&rft.au=Ye,%20Shengliang&rft.date=2019-05-20&rft.volume=16&rft.issue=1&rft.spage=22&rft.pages=22-&rft.artnum=22&rft.issn=1542-6416&rft.eissn=1559-0275&rft_id=info:doi/10.1186/s12014-019-9242-4&rft_dat=%3Cgale_pubme%3EA586518949%3C/gale_pubme%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c525t-ccb73b44f798211a670929d56d190ecbcbc17bb3e9488bc3b38586dce78d73463%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=2242623191&rft_id=info:pmid/31139026&rft_galeid=A586518949&rfr_iscdi=true