Macquarie Medical School, Macquarie University, North Ryde, New South Wales, Australia.
School of Medical and Health Sciences, Edith Cowan University, Perth, Western Australia, Australia.
Alzheimers Dement. 2023 Apr;19(4):1117-1134. doi: 10.1002/alz.12724. Epub 2022 Jul 21.
Plasma amyloid beta (Aβ)1-42/Aβ1-40 ratio, phosphorylated-tau181 (p-tau181), glial fibrillary acidic protein (GFAP), and neurofilament light (NfL) are putative blood biomarkers for Alzheimer's disease (AD). However, head-to-head cross-sectional and longitudinal comparisons of the aforementioned biomarkers across the AD continuum are lacking.
Plasma Aβ1-42, Aβ1-40, p-tau181, GFAP, and NfL were measured utilizing the Single Molecule Array (Simoa) platform and compared cross-sectionally across the AD continuum, wherein Aβ-PET (positron emission tomography)-negative cognitively unimpaired (CU Aβ-, n = 81) and mild cognitive impairment (MCI Aβ-, n = 26) participants were compared with Aβ-PET-positive participants across the AD continuum (CU Aβ+, n = 39; MCI Aβ+, n = 33; AD Aβ+, n = 46) from the Australian Imaging, Biomarker & Lifestyle Flagship Study of Ageing (AIBL) cohort. Longitudinal plasma biomarker changes were also assessed in MCI (n = 27) and AD (n = 29) participants compared with CU (n = 120) participants. In addition, associations between baseline plasma biomarker levels and prospective cognitive decline and Aβ-PET load were assessed over a 7 to 10-year duration.
Lower plasma Aβ1-42/Aβ1-40 ratio and elevated p-tau181 and GFAP were observed in CU Aβ+, MCI Aβ+, and AD Aβ+, whereas elevated plasma NfL was observed in MCI Aβ+ and AD Aβ+, compared with CU Aβ- and MCI Aβ-. Among the aforementioned plasma biomarkers, for models with and without AD risk factors (age, sex, and apolipoprotein E (APOE) ε4 carrier status), p-tau181 performed equivalent to or better than other biomarkers in predicting a brain Aβ-/+ status across the AD continuum. However, for models with and without the AD risk factors, a biomarker panel of Aβ1-42/Aβ1-40, p-tau181, and GFAP performed equivalent to or better than any of the biomarkers alone in predicting brain Aβ-/+ status across the AD continuum. Longitudinally, plasma Aβ1-42/Aβ1-40, p-tau181, and GFAP were altered in MCI compared with CU, and plasma GFAP and NfL were altered in AD compared with CU. In addition, lower plasma Aβ1-42/Aβ1-40 and higher p-tau181, GFAP, and NfL were associated with prospective cognitive decline and lower plasma Aβ1-42/Aβ1-40, and higher p-tau181 and GFAP were associated with increased Aβ-PET load prospectively.
These findings suggest that plasma biomarkers are altered cross-sectionally and longitudinally, along the AD continuum, and are prospectively associated with cognitive decline and brain Aβ-PET load. In addition, although p-tau181 performed equivalent to or better than other biomarkers in predicting an Aβ-/+ status across the AD continuum, a panel of biomarkers may have superior Aβ-/+ status predictive capability across the AD continuum.
Area under the curve (AUC) of p-tau181 ≥ AUC of Aβ42/40, GFAP, NfL in predicting PET Aβ-/+ status (Aβ-/+). AUC of Aβ42/40+p-tau181+GFAP panel ≥ AUC of Aβ42/40/p-tau181/GFAP/NfL for Aβ-/+. Longitudinally, Aβ42/40, p-tau181, and GFAP were altered in MCI versus CU. Longitudinally, GFAP and NfL were altered in AD versus CU. Aβ42/40, p-tau181, GFAP, and NfL are associated with prospective cognitive decline. Aβ42/40, p-tau181, and GFAP are associated with increased PET Aβ load prospectively.
血浆β淀粉样蛋白(Aβ)1-42/Aβ1-40 比值、磷酸化 tau181(p-tau181)、神经胶质纤维酸性蛋白(GFAP)和神经丝轻链(NfL)是阿尔茨海默病(AD)的潜在血液生物标志物。然而,缺乏 AD 连续体中上述生物标志物的头对头横断面和纵向比较。
利用单分子阵列(Simoa)平台测量血浆 Aβ1-42、Aβ1-40、p-tau181、GFAP 和 NfL,并在 AD 连续体中进行横断面比较,其中 Aβ-PET(正电子发射断层扫描)阴性认知正常(CU Aβ-,n=81)和轻度认知障碍(MCI Aβ-,n=26)参与者与 AD 连续体中的 Aβ-PET 阳性参与者(CU Aβ+,n=39;MCI Aβ+,n=33;AD Aβ+,n=46)进行比较来自澳大利亚成像、生物标志物和生活方式旗舰研究老化(AIBL)队列。还评估了 MCI(n=27)和 AD(n=29)参与者与 CU(n=120)参与者相比的纵向血浆生物标志物变化。此外,在 7 到 10 年的时间内,评估了基线血浆生物标志物水平与前瞻性认知下降和 Aβ-PET 负荷之间的关联。
在 CU Aβ+、MCI Aβ+和 AD Aβ+中观察到较低的血浆 Aβ1-42/Aβ1-40 比值和升高的 p-tau181 和 GFAP,而在 MCI Aβ+和 AD Aβ+中观察到升高的血浆 NfL,与 CU Aβ-和 MCI Aβ-相比。在上述血浆生物标志物中,对于具有和不具有 AD 危险因素(年龄、性别和载脂蛋白 E(APOE)ε4 携带者状态)的模型,p-tau181 在预测 AD 连续体中的脑 Aβ-/+状态方面与其他生物标志物的表现相当或更好。然而,对于具有和不具有 AD 危险因素的模型,Aβ1-42/Aβ1-40、p-tau181 和 GFAP 的生物标志物组合在预测 AD 连续体中的脑 Aβ-/+状态方面与任何单一生物标志物的表现相当或更好。纵向研究中,与 CU 相比,MCI 中的血浆 Aβ1-42/Aβ1-40、p-tau181 和 GFAP 发生改变,与 CU 相比,AD 中的血浆 GFAP 和 NfL 发生改变。此外,较低的血浆 Aβ1-42/Aβ1-40 和较高的 p-tau181、GFAP 和 NfL 与前瞻性认知下降相关,较低的血浆 Aβ1-42/Aβ1-40 和较高的 p-tau181 和 GFAP 与前瞻性 Aβ-PET 负荷增加相关。
这些发现表明,血浆生物标志物在 AD 连续体中发生横断面和纵向改变,并与认知下降和脑 Aβ-PET 负荷呈前瞻性相关。此外,尽管 p-tau181 在预测 AD 连续体中的 Aβ-/+状态方面与其他生物标志物的表现相当或更好,但生物标志物组合可能具有预测 AD 连续体中 Aβ-/+状态的更高能力。
p-tau181 的 AUC≥Aβ42/40、GFAP、NfL 在预测 PET Aβ-/+ 状态(Aβ-/+)中的 AUC。Aβ42/40+p-tau181+GFAP 联合的 AUC≥Aβ42/40/p-tau181/GFAP/NfL 用于 Aβ-/+。纵向研究中,MCI 与 CU 相比,Aβ42/40、p-tau181 和 GFAP 发生改变。纵向研究中,AD 与 CU 相比,GFAP 和 NfL 发生改变。Aβ42/40、p-tau181、GFAP 和 NfL 与前瞻性认知下降相关。Aβ42/40、p-tau181 和 GFAP 与前瞻性 PET Aβ 负荷增加相关。