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

BACKGROUND: High blood glucose level is one of the main characteristics of diabetes mellitus. Based on previous studies, it is speculated longevity families may have certain advantages in blood glucose regulation. However, limited information on these items has been reported. The purpose of this stu...

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Autores principales: Zhang, Rong, Liu, Fengjuan, Ye, Shengliang, Du, Xi, Ma, Li, Cao, Haijun, Wang, Zongkui, Li, Changqing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9719669/
https://www.ncbi.nlm.nih.gov/pubmed/36463101
http://dx.doi.org/10.1186/s12014-022-09382-w
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author Zhang, Rong
Liu, Fengjuan
Ye, Shengliang
Du, Xi
Ma, Li
Cao, Haijun
Wang, Zongkui
Li, Changqing
author_facet Zhang, Rong
Liu, Fengjuan
Ye, Shengliang
Du, Xi
Ma, Li
Cao, Haijun
Wang, Zongkui
Li, Changqing
author_sort Zhang, Rong
collection PubMed
description BACKGROUND: High blood glucose level is one of the main characteristics of diabetes mellitus. Based on previous studies, it is speculated longevity families may have certain advantages in blood glucose regulation. However, limited information on these items has been reported. The purpose of this study was to profile differences of plasma proteomics between longevity subjects (with normal fructosamine (FUN) level) and non-longevity area participants (with exceeding standard FUN level). METHODS: In this study, a TMT-based proteomics analysis was used to profile differences of plasma proteomics between longevity subjects (with normal FUN level) and non-longevity area participants (with exceeding standard FUN level). Results were validated by Luminex detection. RESULTS: A total of 155 differentially expressed proteins (DEPs) were identified between these two groups. The DEPs related to blood glucose regulation were mainly involved in glycolysis/gluconeogenesis, pyruvate metabolism and propanoate metabolism, and most of the DEPs were contained in carbohydrate metabolism, PI3K-Akt pathway, glucagon signaling pathway and inflammatory response. Validation by Luminex detection confirmed that CD163 was down-regulated, and SPARC, PARK 7 and IGFBP-1 were up-regulated in longevity participants. CONCLUSIONS: This study not only highlighted carbohydrate metabolism, PI3K-Akt pathway, glucagon signaling pathway and inflammatory response may play important roles in blood glucose regulation, but also indicated that YWHAZ, YWHAB, YWHAG, YWHAE, CALM3, CRP, SAA2, PARK 7, IGFBP1 and VNN1 may serve as potential biomarkers for predicting abnormal blood glucose levels. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12014-022-09382-w.
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spelling pubmed-97196692022-12-05 Proteomics profiles of blood glucose-related proteins involved in a Chinese longevity cohort Zhang, Rong Liu, Fengjuan Ye, Shengliang Du, Xi Ma, Li Cao, Haijun Wang, Zongkui Li, Changqing Clin Proteomics Research BACKGROUND: High blood glucose level is one of the main characteristics of diabetes mellitus. Based on previous studies, it is speculated longevity families may have certain advantages in blood glucose regulation. However, limited information on these items has been reported. The purpose of this study was to profile differences of plasma proteomics between longevity subjects (with normal fructosamine (FUN) level) and non-longevity area participants (with exceeding standard FUN level). METHODS: In this study, a TMT-based proteomics analysis was used to profile differences of plasma proteomics between longevity subjects (with normal FUN level) and non-longevity area participants (with exceeding standard FUN level). Results were validated by Luminex detection. RESULTS: A total of 155 differentially expressed proteins (DEPs) were identified between these two groups. The DEPs related to blood glucose regulation were mainly involved in glycolysis/gluconeogenesis, pyruvate metabolism and propanoate metabolism, and most of the DEPs were contained in carbohydrate metabolism, PI3K-Akt pathway, glucagon signaling pathway and inflammatory response. Validation by Luminex detection confirmed that CD163 was down-regulated, and SPARC, PARK 7 and IGFBP-1 were up-regulated in longevity participants. CONCLUSIONS: This study not only highlighted carbohydrate metabolism, PI3K-Akt pathway, glucagon signaling pathway and inflammatory response may play important roles in blood glucose regulation, but also indicated that YWHAZ, YWHAB, YWHAG, YWHAE, CALM3, CRP, SAA2, PARK 7, IGFBP1 and VNN1 may serve as potential biomarkers for predicting abnormal blood glucose levels. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12014-022-09382-w. BioMed Central 2022-12-03 /pmc/articles/PMC9719669/ /pubmed/36463101 http://dx.doi.org/10.1186/s12014-022-09382-w Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Zhang, Rong
Liu, Fengjuan
Ye, Shengliang
Du, Xi
Ma, Li
Cao, Haijun
Wang, Zongkui
Li, Changqing
Proteomics profiles of blood glucose-related proteins involved in a Chinese longevity cohort
title Proteomics profiles of blood glucose-related proteins involved in a Chinese longevity cohort
title_full Proteomics profiles of blood glucose-related proteins involved in a Chinese longevity cohort
title_fullStr Proteomics profiles of blood glucose-related proteins involved in a Chinese longevity cohort
title_full_unstemmed Proteomics profiles of blood glucose-related proteins involved in a Chinese longevity cohort
title_short Proteomics profiles of blood glucose-related proteins involved in a Chinese longevity cohort
title_sort proteomics profiles of blood glucose-related proteins involved in a chinese longevity cohort
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9719669/
https://www.ncbi.nlm.nih.gov/pubmed/36463101
http://dx.doi.org/10.1186/s12014-022-09382-w
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