This scientific commentary refers to ‘Stage-specific links between plasma neurofilament light and imaging biomarkers of Alzheimer’s disease’, by Benedet et al. (doi:10.1093/brain/awaa342).

The symptomatic phase of Alzheimer’s disease represents a relatively late stage of a disease process involving the silent accumulation of pathology over decades. Models of Alzheimer’s disease progression facilitate academic study and staging of participants in clinical research and may inform enrolment in trials of putative disease-modifying therapies. Models such as the popular ‘ATN’ criteria (Jack et al., 2018) assert that Alzheimer’s disease neuropathological change progresses through measurable and sequential stages, beginning with the accumulation of amyloid-β (A) followed by aggregation and deposition of hyperphosphorylated tau within neurons (T) resulting in neuronal dysfunction and degeneration (N). The sequential nature of these models has motivated the use of anti-amyloid-β drugs with the goal of initiating therapy at the first sign of pathology: the A+T‒N− stage (Sperling et al., 2020). Support for this notion relies on the belief that either amyloid-β deposition starts a pathological cascade with great inertia or that neuronal damage and degeneration begin early in the disease process. Regardless of the exact mechanism, this logic has been extended to explain the successive failures of treatment trials targeting cerebral amyloid, and to argue that therapy must be initiated at ever earlier disease stages to slow or arrest disease (Aisen et al., 2020). In this issue of Brain, Benedet and co-workers use neurofilament light chain (NfL)—a serum-based marker of neuroaxonal injury—to quantify neuroaxonal degeneration as early as the amyloid-β-only disease stage, well before neuroradiological evidence of neurodegeneration is typically apparent (Benedet et al., 2020).

Biomarkers are objectively measurable surrogates that reflect pathology, predict outcomes or identify response to therapy (Blennow et al., 2015). The Alzheimer’s disease literature is awash with candidate biomarkers. The most studied include CSF or PET measures of amyloid-β or tau deposition, and structural neuroimaging markers of cerebral atrophy. These candidate biomarkers provide an unprecedented window into ante-mortem brain changes associated with Alzheimer’s disease. This view informs models of Alzheimer’s disease progression, improves diagnostic accuracy in clinical (Rabinovici et al., 2019) and research settings (Jack et al., 2018), and facilitates enrolment of presymptomatic patients in clinical trials (Sperling et al., 2020). Despite the clinical and statistical validity of these measures, adoption into clinical practice has been limited by issues related to access, cost and patient/provider perceptions. PET imaging is expensive, resource intensive, and limited to large centres; CSF sampling is perceived to be invasive; and MRI-based neuroimaging requires specialized processing and may be contraindicated in patients with metallic implants or severe claustrophobia, for example. As a result, there is great interest in serum biomarkers that both provide information on Alzheimer’s disease pathophysiology and permit the tracking of disease progression.

NfL is a cytoskeletal protein expressed predominantly in large myelinated axons that is released in response to injury (Trojanowski et al., 1986) and that is measurable in CSF and serum. NfL is thus a general marker of neurological injury and not a specific marker of Alzheimer’s disease. However, NfL is elevated in Alzheimer’s disease, and the fact that it can be reliably assayed in serum makes it an attractive biomarker of neurodegeneration (Forgrave et al., 2019). With this in mind, Benedet and colleagues evaluated the longitudinal relationship between NfL and established imaging biomarkers, including PET-based measures of amyloid-β (florbetapir) and tau (flortaucipir or MK6240) as well as volumetric measures. The comparisons were performed in two independent cohorts, from the Alzheimer’s Disease Neuroimaging Initiative (ADNI) and the Translational Biomarkers in Aging and Dementia (TRIAD) studies. In cognitively unimpaired individuals, there was a strong relationship between NfL levels and amyloid-β deposition in areas typically affected by Alzheimer’s disease. Conversely, in cognitively impaired individuals, NfL was most strongly associated with measures of tau deposition, also in a typical Alzheimer’s disease topography. Notably, the association between NfL and amyloid-β in the cognitively unimpaired group was stronger than the association between NfL and measures of cerebral tau deposition in the cognitively impaired group. This implies that neurodegeneration is present early in the course of Alzheimer’s disease. Moreover, the observed relationship between NfL and amyloid-β predates the occurrence of neurodegeneration as revealed by radiological biomarkers (e.g. atrophy). If this is true, then treatments will need to be initiated early to arrest or prevent neurodegeneration.

This study has several technical strengths, including the use of multimodal imaging. The most compelling feature of the analysis, however, is the fact that the reported effects were demonstrated in two independent cohorts. This methodological sophistication decreases the likelihood of a false positive result and increases generalizability. In a similar way, the study’s use of longitudinal sampling improves model estimation and strengthens the conclusions regarding predictive power. There are also a few limitations to consider. Given that NfL is a non-specific marker of neurodegeneration, it is possible (and even likely) that non-Alzheimer’s disease processes, such as cerebrovascular disease, influence serum concentrations of NfL. Moreover, the interpretation that NfL is more closely associated with amyloid-β than with tau in cognitively unimpaired individuals is contingent upon imaging markers of cerebral amyloid-β and tau deposition having equal variance and sensitivity to their respective pathologies—an assumption that has yet to be validated (Clark et al., 2012; Fleisher et al., 2020).

This study lends support to NfL as a practical measure of neuronal injury in Alzheimer’s disease. The relationship between amyloid-β and NfL raises an important question about the time course of neuronal injury and suggests significant early damage, indicating that even earlier enrolment into clinical trials may be required. In the future, we expect to see NfL included as a biomarker of functional Alzheimer’s disease pathological severity and as a biomarker outcome for therapeutic trials.

Competing interests

M.R.B. is supported by a career development grant from the National Institute of Health/National Institute of Neurological Disorders and Stroke (R25NS090978). G.S.D. is supported by a career development grant from National Institutes of Health/National Institute on Aging (K23AG064029). He serves as a topic editor on dementia for DynaMed Plus (EBSCO Industries, Inc), is the clinical director for the Anti-NMDA Receptor Encephalitis Foundation (uncompensated), has provided record review and expert medical testimony on legal cases pertaining to management of Wernicke encephalopathy, and holds stocks (>$10 000) in ANI Pharmaceuticals (a generics pharmaceutical company).

References

Aisen
P
,
Cummings
J
,
Doody
R
,
Kramer
L
,
Salloway
S
,
Selkoe
D
, et al.  
CTAD task force paper the future of anti-amyloid trials
.
J Prev Alzheimer’s Dis
 
2020
;
7
:
146
51
.

Benedet
A
,
Leuzy
A
,
Pascoal
T
,
Ashton
N
,
Mathotaarachchi
S
,
Savard
M
, et al.  
Stage-specific associations between plasma neurofilament light and imaging biomarkers of Alzheimer's disease
.
Brain
 
2020
; 143: 3793–804.

Blennow
K
,
Dubois
B
,
Fagan
AM
,
Lewczuk
P
,
De Leon
MJ
,
Hampel
H.
 
Clinical utility of cerebrospinal fluid biomarkers in the diagnosis of early Alzheimer’s disease
.
Alzheimer’s Dement
 
2015
;
11
:
58
69
.

Clark
CM
,
Pontecorvo
MJ
,
Beach
TG
,
Bedell
BJ
,
Coleman
RE
,
Doraiswamy
PM
, et al.  
Cerebral PET with florbetapir compared with neuropathology at autopsy for detection of neuritic amyloid-β plaques: a prospective cohort study
.
Lancet Neurol
 
2012
;
11
:
669
78
.

Fleisher
AS
,
Pontecorvo
MJ
,
Devous
MD
,
Lu
M
,
Arora
AK
,
Truocchio
SP
, et al.  
Positron emission tomography imaging with [18F]flortaucipir and postmortem assessment of Alzheimer disease neuropathologic changes
.
JAMA Neurol
 
2020
;
77
:
829
39
.

Forgrave
LM
,
Ma
M
,
Best
JR
,
DeMarco
ML.
 
The diagnostic performance of neurofilament light chain in CSF and blood for Alzheimer’s disease, frontotemporal dementia, and amyotrophic lateral sclerosis: a systematic review and meta-analysis
.
Alzheimer’s Dement
 
2019
;
11
:
730
43
.

Jack
CR
,
Bennett
DA
,
Blennow
K
,
Carrillo
MC
,
Dunn
B
,
Haeberlein
SB
, et al.  
NIA-AA Research Framework: toward a biological definition of Alzheimer’s disease
.
Alzheimer’s Dement
 
2018
;
14
:
535
62
.

Rabinovici
GD
,
Gatsonis
C
,
Apgar
C
,
Chaudhary
K
,
Gareen
I
,
Hanna
L
, et al.  
Association of amyloid positron emission tomography with subsequent change in clinical management among Medicare beneficiaries with mild cognitive impairment or dementia
.
J Am Med Assoc
 
2019
;
321
:
1286
94
.

Sperling
RA
,
Donohue
MC
,
Raman
R
,
Sun
C-K
,
Yaari
R
,
Holdridge
K
, et al.  
Association of factors with elevated amyloid burden in clinically normal older individuals
.
JAMA Neurol
 
2020
;
77
:
735
.

Trojanowski
JQ
,
Walkenstein
N
,
Lee
VMY.
 
Expression of neurofilament subunits in neurons of the central and peripheral nervous system: an immunohistochemical study with monoclonal antibodies
.
J Neurosci
 
1986
;
6
:
650
60
.

This article is published and distributed under the terms of the Oxford University Press, Standard Journals Publication Model (https://dbpia.nl.go.kr/journals/pages/open_access/funder_policies/chorus/standard_publication_model)