Plasma proteomic and autoantibody profiles reveal the proteomic characteristics involved in longevity families in Bama, China

Abstract

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.

Proteomics in aging research: A roadmap to clinical, translational research

“…Inclusion criteria for a manuscript included healthy individuals, proteomics results published on or after 2010, publications/authors provided list of significant/all proteins. Thirty three manuscripts met the inclusion criteria, including 12 that covered human plasma (Enroth et al, 2015; Lehallier et al, 2019; Lind et al, 2019; Menni et al, 2015; Ngo et al, 2016; Orwoll et al, 2018; Santos‐Lozano et al, 2020; Sun et al, 2018; Tanaka et al, 2018; Wang, Zhu, et al, 2019; Wang, Zhang, et al, 2019; Ye et al, 2019), 9 from 14 different matrices in humans (Baird et al, 2012; Bakun et al, 2014; Bell‐Temin et al, 2019; Gueugneau et al, 2014; Heinze et al, 2018; Hennrich et al, 2018; Ubaida‐Mohien et al, 2019; Waldera‐Lupa et al, 2014; Wang, Wang, et al, 2018), and 12 publications covering 21 different species/matrices (Amin et al, 2020; Angelidis et al, 2019; Braun et al, 2016; Cutler et al, 2017; Drulis‐Fajdasz et al, 2018; Gebert et al, 2020; Heinze et al, 2018; Kelley et al, 2018; Meng et al, 2020; Stauch et al, 2015; Wang, Zhu, et al, 2019; Yu et al, 2020). The age range of participants included in these studies spanned from 14 to 103 years, and measures were carried out using multiple platforms including but not limited to liquid chromatography–mass spectrometry (LC‐MS)‐based proteomics, multiplexed proteomic assay using modified aptamers (SOMAscan) and Proximity Extension Assay (PEA, O‐Link) (Gold et al, 2010; Lundberg et al, 2011).…”

Advances and Utility of the Human Plasma Proteome

“…164,187 Specifically, the plasma proteomic and autoantibody profiles of offspring of long-lived families and age-related controls were compared. 187 TMT labeling enabled the quantification of over 500 proteins, out of which 12 proteins were differentially expressed between the two groups (proteins with increased levels: LPA, DEFA3, immunoglobulin, BLVRB, and PDIA3; proteins with reduced levels: TPM, GBA, DSG2, SRC, CHGA, ITGB3, and TAGLN2). In a second study, 175 proteins were identified to be differentially abundant between the groups, and a panel of five proteins (MMP2, CCL5, PF4, IGFBP2, and C9) may serve as biomarkers to predict healthy aging and longevity.…”

“…The Bama Yao Autonomous County in China is one of the well-known longevity regions. Multiple genome and population studies have been carried out in the past, and recently, proteomics studies have been pursued. , Specifically, the plasma proteomic and autoantibody profiles of offspring of long-lived families and age-related controls were compared . TMT labeling enabled the quantification of over 500 proteins, out of which 12 proteins were differentially expressed between the two groups (proteins with increased levels: LPA, DEFA3, immunoglobulin, BLVRB, and PDIA3; proteins with reduced levels: TPM, GBA, DSG2, SRC, CHGA, ITGB3, and TAGLN2).…”

Proteomics profiles of blood glucose-related proteins involved in a Chinese longevity cohort

“…In our previous studies [ 6 , 10 ], we found some differentially expressed proteins (DEPs) between Bama longevous family group and normal controls from non-longevous region of China. Some of these DEPs such as PGK1, ENO1, LDHA, LDHB, PKM, and GAPDH, were glycolysis/gluconeogenesis-related proteins.…”