Association of Phenotypic Aging Marker with comorbidities, frailty and inflammatory markers in people living with HIV.

Association of Phenotypic Aging Marker with comorbidities, frailty and inflammatory markers in people living with HIV.
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表型衰老标志物与艾滋病病毒感染者的共病、衰弱和炎症标志物的关联

DOI:
10.1186/s12877-022-03720-1
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发表时间:
2022-12-31
期刊:
影响因子:
4.1
通讯作者:
Avihingsanon, Anchalee
Avihingsanon, Anchalee
中科院分区:
医学2区
文献类型:
--
作者:
Han, Win Min;Apornpong, Tanakorn;Gatechompol, Sivaporn;Ubolyam, Sasiwimol;Chattranukulchai, Pairoj;Wattanachanya, Lalita;Siwamogsatham, Sarawut;Kerr, Stephen J.;Erlandson, Kristine M.;Avihingsanon, Anchalee

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艾滋病毒携带者(PLWH)的衰老特征是不同的,识别与衰老相关的共病(如神经认知障碍(NCI)和虚弱)的危险因素是重要的。我们评估了新的衰老标志物、表型年龄(PhenoAge)和表型年龄加速(PAA)的预测因子,以及它们与合并症、虚弱和NCI的关系。在PLWH和年龄和性别匹配的HIV阴性对照组的队列中,我们使用按时间顺序的年龄和来自完整血细胞计数、炎症、代谢、肝脏和肾脏相关参数的9个生物标记物来计算PhenoAge。PAA以时序年龄与表观年龄之差计算。多因素Logistic回归模型被用来确定与较高(>中位数)PAA相关的因素。使用受试者工作特征曲线下面积(AUROC)来评估模型判别的脆弱性。在333例PLWH和10 2例HIV阴性对照中(38%女性),PLWH的表型年龄中位数(49.4vs.48.5 ,p = 0.5 4)和PAA(− 6.7vs.-7.5,p = 0.2 4)略高,PAa略低,但差异无统计学意义。在多因素分析中,男性(调整后的优势比 = 1.68[95%CI = 1.03-2.73])、现在吸烟(2.74[1.30-5.79])、糖尿病(2.97[1.48-5.99])、高血压(1.67[1.02-2.72])、虚弱(3.82[1.33-10.93])和较高的IL-6水平(1.09[1.04-1.15]),而不是艾滋病毒状况和正常对照组,与较高的PAA独立相关。PhenoAge标记物对虚弱的区分优于单独使用年龄段(AUROC:0.75[0.66~0.85]vs.0.65[0.55~0.77],p = 0.04)。在仅限于PLWH的分析中,单独的现像年龄预测的脆弱程度好于单独的年龄段(AUROC:0.7412比0.6499,P = 0.09)和VOS指数(AUROC:0.7412比0.6811,P = 0.34),尽管没有统计学意义。虽然PLWH在我们的队列中似乎没有加速衰老,但表型衰老标记物与全身炎症、虚弱和心血管疾病风险因素显著相关。这一简单的老化标记物可能有助于在类似的年龄组中识别高危PLWH。网上版载有补充材料,可在10.1186/s12877-022-03720-1查阅。
Aging characteristics in people living with HIV (PLWH) are heterogeneous, and the identification of risk factors associated with aging-related comorbidities such as neurocognitive impairment (NCI) and frailty is important. We evaluated predictors of novel aging markers, phenotypic age (PhenoAge) and phenotypic age acceleration (PAA) and their association with comorbidities, frailty, and NCI. In a cohort of PLWH and age- and sex-matched HIV-negative controls, we calculated PhenoAge using chronological age and 9 biomarkers from complete blood counts, inflammatory, metabolic-, liver- and kidney-related parameters. PAA was calculated as the difference between chronological age and PhenoAge. Multivariate logistic regression models were used to identify the factors associated with higher (>median) PAA. Area under the receiver operating characteristics curve (AUROC) was used to assess model discrimination for frailty. Among 333 PLWH and 102 HIV-negative controls (38% female), the median phenotypic age (49.4 vs. 48.5 years, p = 0.54) and PAA (− 6.7 vs. -7.5, p = 0.24) was slightly higher and PAA slightly less in PLWH although this did not reach statistical significance. In multivariate analysis, male sex (adjusted odds ratio = 1.68 [95%CI = 1.03–2.73]), current smoking (2.74 [1.30–5.79]), diabetes mellitus (2.97 [1.48–5.99]), hypertension (1.67 [1.02–2.72]), frailty (3.82 [1.33–10.93]), and higher IL-6 levels (1.09 [1.04–1.15]), but not HIV status and NCI, were independently associated with higher PAA. PhenoAge marker discriminated frailty better than chronological age alone (AUROC: 0.75 [0.66–0.85] vs. 0.65 [0.55–0.77], p = 0.04). In the analysis restricted to PLWH, PhenoAge alone predicted frailty better than chronological age alone (AUROC: 0.7412 vs. 0.6499, P = 0.09) and VACS index (AUROC: 0.7412 vs. 0.6811, P = 0.34) despite not statistically significant. While PLWH did not appear to have accelerated aging in our cohort, the phenotypic aging marker was significantly associated with systemic inflammation, frailty, and cardiovascular disease risk factors. This simple aging marker could be useful to identify high-risk PLWH within a similar chronological age group. The online version contains supplementary material available at 10.1186/s12877-022-03720-1.
DOI: 10.1093/infdis/jiv277
发表时间: 2015-11-15
期刊: The Journal of infectious diseases
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