Association of accelerated phenotypic aging, genetic risk, and lifestyle with progression of type 2 diabetes: a prospective study using multi-state model.

IF 8.3 1区 医学 Q1 MEDICINE, GENERAL & INTERNAL BMC Medicine Pub Date : 2025-02-04 DOI:10.1186/s12916-024-03832-y
Lulu Pan, Yahang Liu, Chen Huang, Yifang Huang, Ruilang Lin, Kecheng Wei, Ye Yao, Guoyou Qin, Yongfu Yu
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Abstract

Background: Aging is a major risk factor for type 2 diabetes (T2D), but individuals of the same chronological age may vary in their biological aging rate. The associations of Phenotypic Age Acceleration (PhenoAgeAccel), a new accelerated biological aging indicator based on clinical chemistry biomarkers, with the risk of dynamic progression remain unclear. We aimed to assess these associations and examine whether these associations varied by genetic risk and lifestyle.

Methods: We conducted a prospective cohort study that included 376,083 adults free of T2D and diabetes-related events at baseline in UK Biobank. PhenoAgeAccel > 0 and ≤ 0 were defined as biologically older and younger than chronological age. The outcomes of interest were incident T2D, diabetic complications, and mortality. Hazard ratios (HRs) with 95% confidence intervals (CIs) and population attributable fractions (PAFs) for these associations were calculated using multi-state model.

Results: During a median follow-up of 13.7 years, 17,615 participants developed T2D, of whom, 4,524 subsequently developed complications, and 28,373 died. Being biologically older was associated with increased risks of transitions from baseline to T2D (HR 1.77, 95% CI 1.71-1.82; PAF 24.8 [95% CI 23.5-26.2]), from T2D to diabetic complications (1.10, 1.04-1.17; 4.4 [1.4-7.4]), from baseline to all-cause death (1.53, 1.49-1.57; 17.6 [16.6-18.6]), from T2D to all-cause death (1.14, 1.03-1.26; 7.4 [1.8-13.0]), and from diabetic complications to all-cause death (1.32, 1.15-1.51; 15.4 [7.5-23.2]) than being biologically younger. Additionally, participants with older biological age and high genetic risk had a higher risk of incident T2D (4.76,4.43-5.12;18.2 [17.5-19.0]) than those with younger biological age and low genetic risk. Compared with participants with younger biological age and healthy lifestyle, those with older biological age and unhealthy lifestyle had higher risks of transitions in the T2D trajectory, with HRs and PAFs ranging from 1.34 (1.16-1.55; 3.7 [1.8-5.6]) to 5.39 (5.01-5.79; 13.0 [12.4-13.6]).

Conclusions: PhenoAgeAccel was consistently associated with an increased risk of all transitions in T2D progression. It has the potential to be combined with genetic risk to identify early T2D incidence risk and may guide interventions throughout T2D progression while tracking their effectiveness.

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加速表型衰老、遗传风险和生活方式与2型糖尿病进展的关联:一项使用多状态模型的前瞻性研究
背景:衰老是2型糖尿病(T2D)的主要危险因素,但相同实足年龄的个体其生物衰老速度可能不同。表型年龄加速(PhenoAgeAccel)是一种基于临床化学生物标志物的新型加速生物衰老指标,其与动态进展风险的关系尚不清楚。我们的目的是评估这些关联,并检查这些关联是否因遗传风险和生活方式而变化。方法:我们进行了一项前瞻性队列研究,包括英国生物银行(UK Biobank)基线时无T2D和糖尿病相关事件的376083名成年人。PhenoAgeAccel > 0和≤0定义为生物学年龄大于实足年龄。关注的结果是T2D的发生率、糖尿病并发症和死亡率。使用多状态模型计算这些关联的95%置信区间(ci)的风险比(hr)和总体归因分数(paf)。结果:在13.7年的中位随访期间,17,615名参与者发生了T2D,其中4,524人随后发生并发症,28,373人死亡。生理年龄越大,从基线转变为T2D的风险增加(HR 1.77, 95% CI 1.71-1.82;PAF 24.8 [95% CI 23.5-26.2]),从T2D到糖尿病并发症(1.10,1.04-1.17;4.4[1.4-7.4]),从基线到全因死亡(1.53,1.49-1.57;17.6[16.6-18.6]),从T2D到全因死亡(1.14,1.03-1.26;7.4[1.8-13.0]),从糖尿病并发症到全因死亡(1.32,1.15-1.51;15.4[7.5-23.2])比生理上更年轻。此外,生物年龄较大、遗传风险较高的受试者发生T2D的风险(4.76,4.43-5.12;18.2[17.5-19.0])高于生物年龄较小、遗传风险较低的受试者。与生物年龄较年轻、生活方式健康的受试者相比,生物年龄较大、生活方式不健康的受试者T2D轨迹转变的风险更高,hr和paf为1.34 (1.16-1.55;3.7[1.8-5.6])至5.39 (5.01-5.79;13.0(12.4 - -13.6))。结论:PhenoAgeAccel始终与T2D进展中所有转变的风险增加相关。它有可能与遗传风险相结合,以确定早期T2D发病风险,并可能指导整个T2D进展的干预措施,同时跟踪其有效性。
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来源期刊
BMC Medicine
BMC Medicine 医学-医学:内科
CiteScore
13.10
自引率
1.10%
发文量
435
审稿时长
4-8 weeks
期刊介绍: BMC Medicine is an open access, transparent peer-reviewed general medical journal. It is the flagship journal of the BMC series and publishes outstanding and influential research in various areas including clinical practice, translational medicine, medical and health advances, public health, global health, policy, and general topics of interest to the biomedical and sociomedical professional communities. In addition to research articles, the journal also publishes stimulating debates, reviews, unique forum articles, and concise tutorials. All articles published in BMC Medicine are included in various databases such as Biological Abstracts, BIOSIS, CAS, Citebase, Current contents, DOAJ, Embase, MEDLINE, PubMed, Science Citation Index Expanded, OAIster, SCImago, Scopus, SOCOLAR, and Zetoc.
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