Department of Biostatistics and Epidemiology, Rutgers School of Public Health, Piscataway, New Jersey.
Center for Biostatistics in AIDS Research, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.
AIDS. 2021 Apr 1;35(5):811-819. doi: 10.1097/QAD.0000000000002805.
To quantify the rate of change in epigenetic age compared with chronological age over time in youth with perinatally acquired HIV (YPHIV) and youth who are perinatally HIV-exposed uninfected (YPHEU).
Longitudinal study of 32 YPHIV and 8 YPHEU with blood samples collected at two time points at least 3 years apart.
DNA methylation was measured using the Illumina MethylationEPIC array and epigenetic age was calculated using the Horvath method. Linear mixed effects models were fit to estimate the average change in epigenetic age for a 1-year change in chronological age separately for YPHIV and YPHEU.
Median age was 10.9 and 16.8 years at time 1 and 2, respectively. Groups were balanced by sex (51% male) and race (67% black). Epigenetic age increased by 1.23 years (95% CI 1.03--1.43) for YPHIV and 0.95 years (95% CI 0.74--1.17) for YPHEU per year increase in chronological age. Among YPHIV, in a model with chronological age, a higher area under the curve (AUC) viral load was associated with an increase in epigenetic age over time [2.19 years per log10 copies/ml, (95% CI 0.65--3.74)], whereas a higher time-averaged AUC CD4+ T-cell count was associated with a decrease in epigenetic age over time [-0.34 years per 100 cells/μl, (95% CI -0.63 to -0.06)] in YPHIV.
We observed an increase in the rate of epigenetic aging over time in YPHIV, but not in YPHEU. In YPHIV, higher viral load and lower CD4+ T-cell count were associated with accelerated epigenetic aging, emphasizing the importance of early and sustained suppressive treatment for YPHIV, who will receive lifelong ART.
定量比较感染人类免疫缺陷病毒(HIV)的围生期婴儿(YPHIV)和围生期 HIV 暴露但未感染婴儿(YPHEU)的表观遗传年龄与实际年龄随时间的变化率。
对 32 名 YPHIV 和 8 名 YPHEU 进行了纵向研究,这些婴儿至少在 3 年内两次采集了血液样本。
使用 Illumina MethylationEPIC 阵列测量 DNA 甲基化,使用 Horvath 方法计算表观遗传年龄。分别为 YPHIV 和 YPHEU 拟合线性混合效应模型,以估计实际年龄每增加 1 岁时表观遗传年龄的平均变化。
第 1 次和第 2 次时间点的中位年龄分别为 10.9 岁和 16.8 岁。两组在性别(51%为男性)和种族(67%为黑人)上均衡。YPHIV 的表观遗传年龄每年增加 1.23 岁(95%CI:1.031.43),YPHEU 每年增加 0.95 岁(95%CI:0.741.17)。在 YPHIV 中,在一个包含实际年龄的模型中,较高的 AUC 病毒载量与随时间推移表观遗传年龄的增加相关[每 log10 拷贝/ml 增加 2.19 岁(95%CI:0.65~3.74)],而较高的时间平均 AUC CD4+ T 细胞计数与随时间推移表观遗传年龄的降低相关[-每 100 个细胞/μl 减少 0.34 岁(95%CI:-0.63 至 -0.06)]。
我们观察到 YPHIV 的表观遗传老化率随时间的增加,而 YPHEU 则没有。在 YPHIV 中,较高的病毒载量和较低的 CD4+ T 细胞计数与加速的表观遗传老化相关,这强调了为 YPHIV 提供早期和持续的抑制性治疗的重要性,因为他们将终生接受抗逆转录病毒治疗。