ArticleClinical proteomics2019
Plasma proteomic and autoantibody profiles reveal the proteomic characteristics involved in longevity families in Bama, China.
Article in Clinical proteomics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.
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Who cites it
12 citing papers in PubMed, 1 synthesis or guideline pooled it, 22 citations in OpenAlex.
- Proteomic Markers of Aging and Longevity: A Systematic Review.International journal of molecular sciences · 2024Pooled it
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- Cerebrospinal fluid proteomic signatures in cognitively normal individuals identify distinct clusters linked to neurodegeneration.Nature aging · 2025Article
- Exploring the impact of age, sex and life experiences on plasma inflammatory profiles through comparative proteomics.Frontiers in immunology · 2025Article
- Model Organisms in Aging Research: Evolution of Database Annotation and Ortholog Discovery.Genes · 2024Article
- Combination of automated sample preparation and micro-flow LC-MS for high-throughput plasma proteomics.Clinical proteomics · 2023Article
- Proteomics profiles of blood glucose-related proteins involved in a Chinese longevity cohort.Clinical proteomics · 2022Article
- Geographical distinctions of longevity indicators and their correlation with climatic factors in the area where most Chinese Yao are distributed.International journal of biometeorology · 2022Article
- Advances and Utility of the Human Plasma Proteome.Journal of proteome research · 2021Review
- Review
- Why Inclusion Matters for Alzheimer's Disease Biomarker Discovery in Plasma.Journal of Alzheimer's disease : JAD · 2021Article
- Age-Dependent Changes in the Plasma Proteome of Healthy Adults.The journal of nutrition, health & aging · 2020Article
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Authors and funding
16 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundChinese 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.
methodsSixty-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.
resultsFirstly, 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.
conclusionsProteomic 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.
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