骨质疏松症与从尿液蛋白质组图谱中提取的骨相关老化生物标志物的关系:一项人口研究。

IF 7 2区 医学 Q1 GERIATRICS & GERONTOLOGY Aging and Disease Pub Date : 2024-07-29 DOI:10.14336/AD.2024.0303
Yu-Ling Yu, Dries S Martens, De-Wei An, Babangida Chori, Agnieszka Latosinska, Justyna Siwy, Augustine N Odili, Katarzyna Stolarz-Skrzypek, Gladys E Maestre, Kei Asayama, Yan Li, Peter Verhamme, Karel Allegaert, Harald Mischak, Tim S Nawrot, Jan A Staessen
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引用次数: 0

摘要

鉴于骨质疏松症和骨质疏松性骨折对个人和社会造成的沉重负担,筛查和预防骨质疏松症和骨质疏松性骨折势在必行。本研究构建并验证了一种与衰老相关的生物标记物,该标记物来自尿液蛋白质组图谱(UPP),可指示骨质疏松症(UPPost-age)。在比利时北部进行的一项前瞻性人口研究(1985-2019 年)中,2005-2010 年邀请参与者进行了一次随访检查,2009-2013 年再次邀请 2005-2010 年检查的参与者进行随访检查。2005-2010年和2009-2013年两次检查的参与者(n = 519)构成了推导数据集(2005-2016年数据)和时移验证数据集(2009-2013年数据);仅有2005-2010年数据的187名参与者构成了同步验证数据集。UPP 采用毛细管电泳结合质谱法进行评估。分析的重点是 2372 个已测序的尿肽(101 个蛋白质),这些肽在维持骨组织完整性方面发挥着关键作用。在校正多重测试的多变量分析中,年龄与 99 种尿肽(16 种蛋白质)相关。与男性相比,女性从 IGF2 和 MGP 中提取的肽上调,而 COL1A2、COL3A1、COL5A2、COL10A1 和 COL18A1 则下调。通过应用1000倍自引导弹性回归程序,最终有29种肽类物质(10种蛋白质)构成了UPPost-年龄生物标志物,并在不同数据集之间进行了重复。在对 2009-2013 年的数据(n = 706)进行的横截面分析中,作为骨质疏松症标志物的身高臂展比与 UPPost-age 呈负相关(p&;lt0.0001)。在 4.89 年的时间里(中位数),骨质疏松症的 10 年风险与实际年龄和实际年龄相关(706 人中有 53 例,包括 37 例骨折),分别增加了 21% 和 36%(p ≤ 0.044)。在 357 名女性中,骨质疏松症发病率的相应估计值分别为 55% 和 60%(37 例;p ≤ 0.0003),骨质疏松性骨折发病率的相应估计值分别为 42% 和 44%(25 例;p ≤ 0.017)。总之,与衰老相关的 UPP 特征与骨质疏松症风险有关,可用于临床和试验研究。
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Osteoporosis in Relation to a Bone-Related Aging Biomarker Derived from the Urinary Proteomic Profile: A Population Study.

Screening for and prevention of osteoporosis and osteoporotic fractures is imperative, given the high burden on individuals and society. This study constructed and validated an aging-related biomarker derived from the urinary proteomic profile (UPP) indicative of osteoporosis (UPPost-age). In a prospective population study done in northern Belgium (1985-2019), participants were invited for a follow-up examination in 2005-2010 and participants in the 2005-2010 examination again invited in 2009-2013. Participants in both the 2005-2010 and 2009-2013 examinations (n = 519) constituted the derivation (2005-2016 data) and time-shifted validation (2009-2013 data) datasets; 187 participants with only 2005-2010 data formed the synchronous validation dataset. The UPP was assessed by capillary electrophoresis coupled with mass spectrometry. Analyses focused on 2372 sequenced urinary peptides (101 proteins) with key roles in maintaining the integrity of bone tissue. In multivariable analyses with correction for multiple testing, chronological age was associated with 99 urinary peptides (16 proteins). Peptides derived from IGF2 and MGP were upregulated in women compared to men, whereas COL1A2, COL3A1, COL5A2, COL10A1 and COL18A1 were downregulated. Via application of a 1000-fold bootstrapped elastic regression procedure, finally, 29 peptides (10 proteins) constituted the UPPost-age biomarker, replicated across datasets. In cross-sectional analyses of 2009-2013 data (n = 706), the body-height-to-arm-span ratio, an osteoporosis marker, was negatively associated with UPPost-age (p&;lt0.0001). Over 4.89 years (median), the 10-year risk of osteoporosis associated with chronological age and UPPost-age (53 cases including 37 fractures in 706 individuals) increased by 21% and 36% (p ≤ 0.044). Among 357 women, the corresponding estimates were 55% and 60% for incident osteoporosis (37 cases; p ≤ 0.0003) and 42% and 44% for osteoporotic fractures (25 cases; p ≤ 0.017). In conclusion, an aging-related UPP signature with focus on peptide fragments derived from bone-related proteins is associated with osteoporosis risk and available for clinical and trial research.

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来源期刊
Aging and Disease
Aging and Disease GERIATRICS & GERONTOLOGY-
CiteScore
14.60
自引率
2.70%
发文量
138
审稿时长
10 weeks
期刊介绍: Aging & Disease (A&D) is an open-access online journal dedicated to publishing groundbreaking research on the biology of aging, the pathophysiology of age-related diseases, and innovative therapies for conditions affecting the elderly. The scope encompasses various diseases such as Stroke, Alzheimer's disease, Parkinson’s disease, Epilepsy, Dementia, Depression, Cardiovascular Disease, Cancer, Arthritis, Cataract, Osteoporosis, Diabetes, and Hypertension. The journal welcomes studies involving animal models as well as human tissues or cells.
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