促炎蛋白与衰弱及其进展相关——一项对社区妇女的纵向研究

IF 5.1 1区 医学 Q1 ENDOCRINOLOGY & METABOLISM Journal of Bone and Mineral Research Pub Date : 2023-05-30 DOI:10.1002/jbmr.4861
Adam Mitchell, Linnea Malmgren, Patrik Bartosch, Fiona Elizabeth McGuigan, Kristina E. Akesson
{"title":"促炎蛋白与衰弱及其进展相关——一项对社区妇女的纵向研究","authors":"Adam Mitchell,&nbsp;Linnea Malmgren,&nbsp;Patrik Bartosch,&nbsp;Fiona Elizabeth McGuigan,&nbsp;Kristina E. Akesson","doi":"10.1002/jbmr.4861","DOIUrl":null,"url":null,"abstract":"<p>The complex pathophysiology underlying biological aging creates challenges for identifying biomarkers associated with frailty. This longitudinal, nontargeted proteomics study aimed to identify proteins associated with frailty, particularly the change from nonfrail to frail. The population-based Osteoporosis Prospective Risk Assessment cohort includes women all of whom are 75 years old at inclusion (<i>n</i> = 1044) and reassessed at 80 years (<i>n</i> = 715) and 85 years (<i>n</i> = 382). A deficits in health frailty index (FI) and 92 plasma proteins (Olink CVD-II panel) were available at all ages. The identical age facilitated differentiating chronological and biological aging. Bidirectional analyses, performed cross-sectionally and longitudinally, used regression models controlled for false discovery rate (FDR), across 5- and 10-year time windows and longitudinal mixed models. Frailty outcomes were frailty index, frailty status (frail defined as FI ≥ 0.25), change in frailty index, and change in frailty status, together with protein expression or change in protein expression. Elevated levels of 32 proteins were positively associated with the FI, cross-sectionally at all ages (range: β-coefficients 0.22–2.06; FDR 0.021–0.024), of which 18 were also associated with frailty status (range: odds ratios 1.40–5.77; FDR 0.022–0.016). Based on the accrued data, eight core proteins (CD4, FGF23, Gal-9, PAR-1, REN, TNFRSF10A TNFRSF11A, and TNFRSF10B) are proposed. A one-unit change in the FI was additively associated with increased protein expression over 5 and 10 years (range: β-coefficients 0.52–1.59; <i>p</i> &lt; 0.001). Increments in baseline FI consistently associated with a change in protein expression over time (5 years, β-range 0.05–1.35; 10 years, β-range 0.51–1.48; all <i>p</i> &lt; 0.001). A one-unit increase in protein expression was also associated with an increased probability of being frail (FI ≥ 0.25) (β-range: 0.14–0.61). Mirroring the multisystem deterioration that typifies frailty, the proteins and their associated biological pathways reflect pathologies, including the renal system, skeletal homeostasis, and TRAIL-activated apoptotic signaling. The core proteins are compelling candidates for understanding the development and progression of frailty with advancing age, including the intrinsic musculoskeletal component. © 2023 The Authors. <i>Journal of Bone and Mineral Research</i> published by Wiley Periodicals LLC on behalf of American Society for Bone and Mineral Research (ASBMR).</p>","PeriodicalId":185,"journal":{"name":"Journal of Bone and Mineral Research","volume":"38 8","pages":"1076-1091"},"PeriodicalIF":5.1000,"publicationDate":"2023-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/jbmr.4861","citationCount":"1","resultStr":"{\"title\":\"Pro-Inflammatory Proteins Associated with Frailty and Its Progression—A Longitudinal Study in Community-Dwelling Women\",\"authors\":\"Adam Mitchell,&nbsp;Linnea Malmgren,&nbsp;Patrik Bartosch,&nbsp;Fiona Elizabeth McGuigan,&nbsp;Kristina E. Akesson\",\"doi\":\"10.1002/jbmr.4861\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>The complex pathophysiology underlying biological aging creates challenges for identifying biomarkers associated with frailty. This longitudinal, nontargeted proteomics study aimed to identify proteins associated with frailty, particularly the change from nonfrail to frail. The population-based Osteoporosis Prospective Risk Assessment cohort includes women all of whom are 75 years old at inclusion (<i>n</i> = 1044) and reassessed at 80 years (<i>n</i> = 715) and 85 years (<i>n</i> = 382). A deficits in health frailty index (FI) and 92 plasma proteins (Olink CVD-II panel) were available at all ages. The identical age facilitated differentiating chronological and biological aging. Bidirectional analyses, performed cross-sectionally and longitudinally, used regression models controlled for false discovery rate (FDR), across 5- and 10-year time windows and longitudinal mixed models. Frailty outcomes were frailty index, frailty status (frail defined as FI ≥ 0.25), change in frailty index, and change in frailty status, together with protein expression or change in protein expression. Elevated levels of 32 proteins were positively associated with the FI, cross-sectionally at all ages (range: β-coefficients 0.22–2.06; FDR 0.021–0.024), of which 18 were also associated with frailty status (range: odds ratios 1.40–5.77; FDR 0.022–0.016). Based on the accrued data, eight core proteins (CD4, FGF23, Gal-9, PAR-1, REN, TNFRSF10A TNFRSF11A, and TNFRSF10B) are proposed. A one-unit change in the FI was additively associated with increased protein expression over 5 and 10 years (range: β-coefficients 0.52–1.59; <i>p</i> &lt; 0.001). Increments in baseline FI consistently associated with a change in protein expression over time (5 years, β-range 0.05–1.35; 10 years, β-range 0.51–1.48; all <i>p</i> &lt; 0.001). A one-unit increase in protein expression was also associated with an increased probability of being frail (FI ≥ 0.25) (β-range: 0.14–0.61). Mirroring the multisystem deterioration that typifies frailty, the proteins and their associated biological pathways reflect pathologies, including the renal system, skeletal homeostasis, and TRAIL-activated apoptotic signaling. The core proteins are compelling candidates for understanding the development and progression of frailty with advancing age, including the intrinsic musculoskeletal component. © 2023 The Authors. <i>Journal of Bone and Mineral Research</i> published by Wiley Periodicals LLC on behalf of American Society for Bone and Mineral Research (ASBMR).</p>\",\"PeriodicalId\":185,\"journal\":{\"name\":\"Journal of Bone and Mineral Research\",\"volume\":\"38 8\",\"pages\":\"1076-1091\"},\"PeriodicalIF\":5.1000,\"publicationDate\":\"2023-05-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://onlinelibrary.wiley.com/doi/epdf/10.1002/jbmr.4861\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Bone and Mineral Research\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1002/jbmr.4861\",\"RegionNum\":1,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENDOCRINOLOGY & METABOLISM\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Bone and Mineral Research","FirstCategoryId":"3","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/jbmr.4861","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENDOCRINOLOGY & METABOLISM","Score":null,"Total":0}
引用次数: 1

摘要

生物衰老背后复杂的病理生理学为识别与脆弱相关的生物标志物带来了挑战。这项纵向的、非靶向的蛋白质组学研究旨在识别与虚弱相关的蛋白质,特别是从非虚弱到虚弱的变化。以人群为基础的骨质疏松前瞻性风险评估队列包括纳入时年龄均为75岁的女性(n = 1044),并在80岁(n = 715)和85岁(n = 382)时重新评估。健康脆弱指数(FI)和92种血浆蛋白(Olink CVD-II)在所有年龄段均存在缺陷。相同的年龄有助于区分时间和生物衰老。在横向和纵向上进行双向分析,使用控制错误发现率(FDR)的回归模型,跨越5年和10年的时间窗口和纵向混合模型。虚弱结局为虚弱指数、虚弱状态(虚弱定义为FI≥0.25)、虚弱指数改变、虚弱状态改变,以及蛋白表达或蛋白表达改变。32种蛋白水平升高与各年龄段的FI呈正相关(范围:β-系数0.22-2.06;FDR 0.021-0.024),其中18例也与虚弱状态相关(范围:比值比1.40-5.77;罗斯福0.022 - -0.016)。根据累积的数据,提出了8个核心蛋白(CD4、FGF23、Gal-9、PAR-1、REN、TNFRSF10A、TNFRSF11A和TNFRSF10B)。FI的一个单位变化与5年和10年的蛋白表达增加相关(范围:β-系数0.52-1.59;p < 0.001)。随着时间的推移,基线FI的增加与蛋白表达的变化一致相关(5年,β-范围0.05-1.35;10年,β范围0.51-1.48;p < 0.001)。蛋白表达每增加一个单位也与虚弱的可能性增加相关(FI≥0.25)(β范围:0.14-0.61)。这些蛋白及其相关的生物学途径反映了包括肾脏系统、骨骼稳态和trail激活的凋亡信号在内的病理,反映了多系统衰弱的典型特征。核心蛋白质是理解随着年龄增长而出现的虚弱的发展和进展的强有力的候选者,包括内在的肌肉骨骼成分。©2023作者。由Wiley期刊有限责任公司代表美国骨与矿物研究协会(ASBMR)出版的骨与矿物研究杂志。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

摘要图片

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Pro-Inflammatory Proteins Associated with Frailty and Its Progression—A Longitudinal Study in Community-Dwelling Women

The complex pathophysiology underlying biological aging creates challenges for identifying biomarkers associated with frailty. This longitudinal, nontargeted proteomics study aimed to identify proteins associated with frailty, particularly the change from nonfrail to frail. The population-based Osteoporosis Prospective Risk Assessment cohort includes women all of whom are 75 years old at inclusion (n = 1044) and reassessed at 80 years (n = 715) and 85 years (n = 382). A deficits in health frailty index (FI) and 92 plasma proteins (Olink CVD-II panel) were available at all ages. The identical age facilitated differentiating chronological and biological aging. Bidirectional analyses, performed cross-sectionally and longitudinally, used regression models controlled for false discovery rate (FDR), across 5- and 10-year time windows and longitudinal mixed models. Frailty outcomes were frailty index, frailty status (frail defined as FI ≥ 0.25), change in frailty index, and change in frailty status, together with protein expression or change in protein expression. Elevated levels of 32 proteins were positively associated with the FI, cross-sectionally at all ages (range: β-coefficients 0.22–2.06; FDR 0.021–0.024), of which 18 were also associated with frailty status (range: odds ratios 1.40–5.77; FDR 0.022–0.016). Based on the accrued data, eight core proteins (CD4, FGF23, Gal-9, PAR-1, REN, TNFRSF10A TNFRSF11A, and TNFRSF10B) are proposed. A one-unit change in the FI was additively associated with increased protein expression over 5 and 10 years (range: β-coefficients 0.52–1.59; p < 0.001). Increments in baseline FI consistently associated with a change in protein expression over time (5 years, β-range 0.05–1.35; 10 years, β-range 0.51–1.48; all p < 0.001). A one-unit increase in protein expression was also associated with an increased probability of being frail (FI ≥ 0.25) (β-range: 0.14–0.61). Mirroring the multisystem deterioration that typifies frailty, the proteins and their associated biological pathways reflect pathologies, including the renal system, skeletal homeostasis, and TRAIL-activated apoptotic signaling. The core proteins are compelling candidates for understanding the development and progression of frailty with advancing age, including the intrinsic musculoskeletal component. © 2023 The Authors. Journal of Bone and Mineral Research published by Wiley Periodicals LLC on behalf of American Society for Bone and Mineral Research (ASBMR).

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Journal of Bone and Mineral Research
Journal of Bone and Mineral Research 医学-内分泌学与代谢
CiteScore
11.30
自引率
6.50%
发文量
257
审稿时长
2 months
期刊介绍: The Journal of Bone and Mineral Research (JBMR) publishes highly impactful original manuscripts, reviews, and special articles on basic, translational and clinical investigations relevant to the musculoskeletal system and mineral metabolism. Specifically, the journal is interested in original research on the biology and physiology of skeletal tissues, interdisciplinary research spanning the musculoskeletal and other systems, including but not limited to immunology, hematology, energy metabolism, cancer biology, and neurology, and systems biology topics using large scale “-omics” approaches. The journal welcomes clinical research on the pathophysiology, treatment and prevention of osteoporosis and fractures, as well as sarcopenia, disorders of bone and mineral metabolism, and rare or genetically determined bone diseases.
期刊最新文献
Long-duration type 1 diabetes is associated with deficient cortical bone mechanical behavior and altered matrix composition in human femoral bone. One day at a time: understanding how 24-hour physical activity, sedentary behavior and sleep patterns influence falls and fracture risk. A systematic review and meta-analysis of the effects of probiotics on bone outcomes in rodent models. Vertebral fracture prevalence and risk factors for fracture in the Gambia, West Africa: the Gambian bone and muscle ageing study. Modeling of Skeletal Development and Diseases Using Human Pluripotent Stem Cells.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1