Evaluation of Plasma Glial Fibrillary Acidic Protein in Real‐life Memory Clinics in Thailand

Abstract Background The roles of reactive astrogliosis in response to the accumulation of amyloid‐β (Aβ) and early tau phosphorylation in Alzheimer’s disease (AD) have been more elucidated. Plasma glial fibrillary acidic protein (GFAP) has taken the spotlight, following phosphorylated tau (p‐tau), in evaluating patients with AD. In this study, we aimed to assess the performance of plasma GFAP compared to other biomarkers. Method We consecutively evaluated patients with cognitive complaints from two memory clinics in Bangkok, Thailand: Memory Clinic, King Chulalongkorn Memorial Hospital and the Neurology Clinic at the Prasat Neurological Institute. Individuals who underwent CSF analysis for core AD biomarkers or Amyloid PET to predict AD status were classified as Aβ positive (Aβ+) or negative (Aβ‐). The plasma biomarkers were measured, and their diagnostic performances were assessed using receiver operating characteristic curve. Cohen’s d was utilized to estimate the effect size of each plasma biomarkers between the Aβ+ and Aβ‐ groups. Loess regression models were employed to illustrate the trends between plasma biomarker levels and amyloid PET centiloid. Result Among 127 participants, 87 were female. The median age was 68 years (interquartile range: 61, 75). (Table 1) There were 72 patients with Aβ+. Plasma GFAP demonstrated an area under the curve (AUC) of 0.74 (95% confidence interval [CI] 0.65‐0.84) for detecting Aβ+ in patients with cognitive complaints. Comparatively, plasma p‐tau217, p‐tau181, neurofilament light chain, and the base model (BM, comprising age and APOE status) had AUC of 0.94 (95%CI 0.90‐0.98), 0.86 (95%CI 0.80‐0.92), 0.49 (95%CI 0.39‐0.60), and 0.70 (95%CI 0.61‐0.80), respectively. Unlike plasma p‐tau, the AUC of plasma GFAP showed no significant difference from the BM (p=0.555). (Figure 1) Plasma levels of GFAP, p‐tau217, and p‐tau181 have large effects on determining Aβ status, with Cohen’s d = 0.81 (95%CI 0.44‐1.18), 2.23 (95%CI 1.78‐2.68), and 1.54 (95%CI 1.14‐1.95), respectively. Furthermore, the loess regression showed an early increase in plasma GFAP, together with p‐tau in memory clinic patients (n=63). (Figure 2) Conclusion Plasma GFAP increases alongside p‐tau from early stages of AD, as indicated by amyloid PET centiloid. Nevertheless, the diagnostic performance does not differ from that of the BM.

Authors

Institutions

Publication Details

Journal
Alzheimer s & Dementia
Published
2024-12-01
DOI
https://doi.org/10.1002/alz.091107
Primary Topic
S100 Proteins and Annexins
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Evaluation of Plasma Glial Fibrillary Acidic Protein in Real‐life Memory Clinics in Thailand

Watayuth Luechaipanit, Thanakit Pongpitakmetha, Kittithatch Booncharoen, Yuttachai Likitjaroen et al.
Alzheimer s & Dementia
S100 Proteins and Annexins
article

Evaluation of Plasma Glial Fibrillary Acidic Protein in Real‐life Memory Clinics in Thailand

Watayuth Luechaipanit, Thanakit Pongpitakmetha, Kittithatch Booncharoen, Yuttachai Likitjaroen, Thiravat Hemachudha, Jedsada Khieukhajee, Adipa Chongsuksantikul, Poosanu Thanapornsangsuth, Thanaporn Haethaisong, Thanapoom Taweephol
article en

Abstract

Abstract Background The roles of reactive astrogliosis in response to the accumulation of amyloid‐β (Aβ) and early tau phosphorylation in Alzheimer’s disease (AD) have been more elucidated. Plasma glial fibrillary acidic protein (GFAP) has taken the spotlight, following phosphorylated tau (p‐tau), in evaluating patients with AD. In this study, we aimed to assess the performance of plasma GFAP compared to other biomarkers. Method We consecutively evaluated patients with cognitive complaints from two memory clinics in Bangkok, Thailand: Memory Clinic, King Chulalongkorn Memorial Hospital and the Neurology Clinic at the Prasat Neurological Institute. Individuals who underwent CSF analysis for core AD biomarkers or Amyloid PET to predict AD status were classified as Aβ positive (Aβ+) or negative (Aβ‐). The plasma biomarkers were measured, and their diagnostic performances were assessed using receiver operating characteristic curve. Cohen’s d was utilized to estimate the effect size of each plasma biomarkers between the Aβ+ and Aβ‐ groups. Loess regression models were employed to illustrate the trends between plasma biomarker levels and amyloid PET centiloid. Result Among 127 participants, 87 were female. The median age was 68 years (interquartile range: 61, 75). (Table 1) There were 72 patients with Aβ+. Plasma GFAP demonstrated an area under the curve (AUC) of 0.74 (95% confidence interval [CI] 0.65‐0.84) for detecting Aβ+ in patients with cognitive complaints. Comparatively, plasma p‐tau217, p‐tau181, neurofilament light chain, and the base model (BM, comprising age and APOE status) had AUC of 0.94 (95%CI 0.90‐0.98), 0.86 (95%CI 0.80‐0.92), 0.49 (95%CI 0.39‐0.60), and 0.70 (95%CI 0.61‐0.80), respectively. Unlike plasma p‐tau, the AUC of plasma GFAP showed no significant difference from the BM (p=0.555). (Figure 1) Plasma levels of GFAP, p‐tau217, and p‐tau181 have large effects on determining Aβ status, with Cohen’s d = 0.81 (95%CI 0.44‐1.18), 2.23 (95%CI 1.78‐2.68), and 1.54 (95%CI 1.14‐1.95), respectively. Furthermore, the loess regression showed an early increase in plasma GFAP, together with p‐tau in memory clinic patients (n=63). (Figure 2) Conclusion Plasma GFAP increases alongside p‐tau from early stages of AD, as indicated by amyloid PET centiloid. Nevertheless, the diagnostic performance does not differ from that of the BM.

Alzheimer s & DementiaVol. 20(S2)
Chulalongkorn University (TH), Bangkok Hospital (TH), King Chulalongkorn Memorial Hospital (TH), Neurological Institute of Thailand (TH)
Openalex Percentile: Top 78%
S100 Proteins and Annexins
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.