High blood galectin-3 level associated with risk of frailty in aging
BackgroundFrailty is one of the most problematic expressions of population aging, but its underlying mechanism has not been fully elucidated. Circulating galectin-3 (Gal-3) is involved in the pathogenesis of many age-related diseases. This study aims to explore the influence of circulating Gal-3 on...
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Frontiers Media S.A.
2023-09-01
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Online Access: | https://www.frontiersin.org/articles/10.3389/fendo.2023.1189192/full |
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author | Xueying Ji Xueying Ji Zhaoshun Jiang Zhaoshun Jiang Yixuan Qiu Jiaming Yu Jiaming Yu Yan Zhang Yan Zhang Jiaofeng Wang Bo Ye Yuxin Huang Yuxin Huang Weidong Gu Weidong Gu Yiqin Huang Yiqin Huang Jie Chen Jie Chen Zhijun Bao Zhijun Bao Zhijun Bao |
author_facet | Xueying Ji Xueying Ji Zhaoshun Jiang Zhaoshun Jiang Yixuan Qiu Jiaming Yu Jiaming Yu Yan Zhang Yan Zhang Jiaofeng Wang Bo Ye Yuxin Huang Yuxin Huang Weidong Gu Weidong Gu Yiqin Huang Yiqin Huang Jie Chen Jie Chen Zhijun Bao Zhijun Bao Zhijun Bao |
author_sort | Xueying Ji |
collection | DOAJ |
description | BackgroundFrailty is one of the most problematic expressions of population aging, but its underlying mechanism has not been fully elucidated. Circulating galectin-3 (Gal-3) is involved in the pathogenesis of many age-related diseases. This study aims to explore the influence of circulating Gal-3 on the regulation of frailty and aging and to identify the potential mechanism further.MethodsIn this cross-sectional analysis, the Fried frailty phenotype (FP) was assessed among 149 community elderly residents in Shanghai. Peripheral blood mononuclear cells (PBMCs) were isolated by the Ficoll-Paque density gradient method, and differentially expressed genes (DEGs) encoding transcription factors in frailty were detected by Illumina and bioinformatics analyzed with R software. Gene Ontology (GO) enrichment analyses and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses were performed to explore the functional roles of these DEGs and the target genes related to frailty phenotypes. The serum Gal-3 concentration was tested by enzyme-linked immunosorbent assay (ELISA). Mouse frailty phenotype was used to construct an in vivo model of frailty, after which the serum levels of circulating Gal-3 and its gene expression levels in mouse tissues were determined.ResultsParticipants’ mean age was 72.04 ± 7.05 years. In total, 21.48% were frail and 36.91% were pre-frail. The mean serum Gal-3 concentration was 46.34 ± 17.99 ng/mL in frail participants, 32.30 ± 8.14 ng/mL in pre-frail participants, and 26.00 ± 5.87 ng/mL in non-frail individuals (p < 0.001). Significant positive correlations between serum Gal-3 level and FP score, SARC-F score, C-reactive protein (CRP), interleukin-6, etc., were observed. In addition, the KEGG pathway and GO enrichment analyses showed that 265 DEGs in PBMCs of frail participants were mainly related to inflammatory response, translation, RNA binding, protein binding, ribosome, and primary immunodeficiency. LGALS3 was identified as the overlapping gene between frailty-related DEGs and aging-related DEGs. The elevated serum Gal-3 concentration in the in vivo model of frailty was consistent with the results in participants.ConclusionIn both community-dwelling older adults and aged mice, serum Gal-3 concentration was positively correlated with frailty. This circulating mediator may be a promising indicator of frailty.Clinical trial registrationChinese Clinical Trial Registry identifier, ChiCTR2000036399. |
first_indexed | 2024-03-11T21:54:35Z |
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last_indexed | 2024-03-11T21:54:35Z |
publishDate | 2023-09-01 |
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spelling | doaj.art-42c8e070e6f348acb859ecaf7db639632023-09-26T05:24:36ZengFrontiers Media S.A.Frontiers in Endocrinology1664-23922023-09-011410.3389/fendo.2023.11891921189192High blood galectin-3 level associated with risk of frailty in agingXueying Ji0Xueying Ji1Zhaoshun Jiang2Zhaoshun Jiang3Yixuan Qiu4Jiaming Yu5Jiaming Yu6Yan Zhang7Yan Zhang8Jiaofeng Wang9Bo Ye10Yuxin Huang11Yuxin Huang12Weidong Gu13Weidong Gu14Yiqin Huang15Yiqin Huang16Jie Chen17Jie Chen18Zhijun Bao19Zhijun Bao20Zhijun Bao21Department of General Practice, Huadong Hospital Affiliated to Fudan University, Shanghai, ChinaShanghai Key Laboratory of Clinical Geriatric Medicine, Huadong Hospital, Shanghai, ChinaShanghai Key Laboratory of Clinical Geriatric Medicine, Huadong Hospital, Shanghai, ChinaDepartment of Anesthesiology, Huadong Hospital Affiliated to Fudan University, Shanghai, ChinaDepartment of Gastroenterology, Guangdong Academy of Medical Sciences, Guangdong Provincial People’s Hospital, Guangdong, ChinaDepartment of General Practice, Huadong Hospital Affiliated to Fudan University, Shanghai, ChinaShanghai Key Laboratory of Clinical Geriatric Medicine, Huadong Hospital, Shanghai, ChinaDepartment of General Practice, Huadong Hospital Affiliated to Fudan University, Shanghai, ChinaShanghai Key Laboratory of Clinical Geriatric Medicine, Huadong Hospital, Shanghai, ChinaShanghai Key Laboratory of Clinical Geriatric Medicine, Huadong Hospital, Shanghai, ChinaShanghai Key Laboratory of Clinical Geriatric Medicine, Huadong Hospital, Shanghai, ChinaShanghai Key Laboratory of Clinical Geriatric Medicine, Huadong Hospital, Shanghai, ChinaDepartment of Endocrinology, Huadong Hospital Affiliated to Fudan University, Shanghai, ChinaShanghai Key Laboratory of Clinical Geriatric Medicine, Huadong Hospital, Shanghai, ChinaDepartment of Anesthesiology, Huadong Hospital Affiliated to Fudan University, Shanghai, ChinaDepartment of General Practice, Huadong Hospital Affiliated to Fudan University, Shanghai, ChinaShanghai Key Laboratory of Clinical Geriatric Medicine, Huadong Hospital, Shanghai, ChinaShanghai Key Laboratory of Clinical Geriatric Medicine, Huadong Hospital, Shanghai, ChinaDepartment of Geriatric Medicine, Huadong Hospital Affiliated to Fudan University, Shanghai, ChinaShanghai Key Laboratory of Clinical Geriatric Medicine, Huadong Hospital, Shanghai, ChinaDepartment of Geriatric Medicine, Huadong Hospital Affiliated to Fudan University, Shanghai, ChinaDepartment of National Clinical Research Center for Ageing and Medicine, Huashan Hospital Affiliated to Fudan University, Shanghai, ChinaBackgroundFrailty is one of the most problematic expressions of population aging, but its underlying mechanism has not been fully elucidated. Circulating galectin-3 (Gal-3) is involved in the pathogenesis of many age-related diseases. This study aims to explore the influence of circulating Gal-3 on the regulation of frailty and aging and to identify the potential mechanism further.MethodsIn this cross-sectional analysis, the Fried frailty phenotype (FP) was assessed among 149 community elderly residents in Shanghai. Peripheral blood mononuclear cells (PBMCs) were isolated by the Ficoll-Paque density gradient method, and differentially expressed genes (DEGs) encoding transcription factors in frailty were detected by Illumina and bioinformatics analyzed with R software. Gene Ontology (GO) enrichment analyses and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses were performed to explore the functional roles of these DEGs and the target genes related to frailty phenotypes. The serum Gal-3 concentration was tested by enzyme-linked immunosorbent assay (ELISA). Mouse frailty phenotype was used to construct an in vivo model of frailty, after which the serum levels of circulating Gal-3 and its gene expression levels in mouse tissues were determined.ResultsParticipants’ mean age was 72.04 ± 7.05 years. In total, 21.48% were frail and 36.91% were pre-frail. The mean serum Gal-3 concentration was 46.34 ± 17.99 ng/mL in frail participants, 32.30 ± 8.14 ng/mL in pre-frail participants, and 26.00 ± 5.87 ng/mL in non-frail individuals (p < 0.001). Significant positive correlations between serum Gal-3 level and FP score, SARC-F score, C-reactive protein (CRP), interleukin-6, etc., were observed. In addition, the KEGG pathway and GO enrichment analyses showed that 265 DEGs in PBMCs of frail participants were mainly related to inflammatory response, translation, RNA binding, protein binding, ribosome, and primary immunodeficiency. LGALS3 was identified as the overlapping gene between frailty-related DEGs and aging-related DEGs. The elevated serum Gal-3 concentration in the in vivo model of frailty was consistent with the results in participants.ConclusionIn both community-dwelling older adults and aged mice, serum Gal-3 concentration was positively correlated with frailty. This circulating mediator may be a promising indicator of frailty.Clinical trial registrationChinese Clinical Trial Registry identifier, ChiCTR2000036399.https://www.frontiersin.org/articles/10.3389/fendo.2023.1189192/fullagingfrailtyhumoralgalectin-3transcriptomefrail mice |
spellingShingle | Xueying Ji Xueying Ji Zhaoshun Jiang Zhaoshun Jiang Yixuan Qiu Jiaming Yu Jiaming Yu Yan Zhang Yan Zhang Jiaofeng Wang Bo Ye Yuxin Huang Yuxin Huang Weidong Gu Weidong Gu Yiqin Huang Yiqin Huang Jie Chen Jie Chen Zhijun Bao Zhijun Bao Zhijun Bao High blood galectin-3 level associated with risk of frailty in aging Frontiers in Endocrinology aging frailty humoral galectin-3 transcriptome frail mice |
title | High blood galectin-3 level associated with risk of frailty in aging |
title_full | High blood galectin-3 level associated with risk of frailty in aging |
title_fullStr | High blood galectin-3 level associated with risk of frailty in aging |
title_full_unstemmed | High blood galectin-3 level associated with risk of frailty in aging |
title_short | High blood galectin-3 level associated with risk of frailty in aging |
title_sort | high blood galectin 3 level associated with risk of frailty in aging |
topic | aging frailty humoral galectin-3 transcriptome frail mice |
url | https://www.frontiersin.org/articles/10.3389/fendo.2023.1189192/full |
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