Evidence map›Paper›PMID 35226303›Full record

ArticleAging clinical and experimental research2022

Plasma neurofilament light levels correlate with white matter damage prior to Alzheimer's disease: results from ADNI.

Fardin Nabizadeh, Mohammad Balabandian, Mohammad Reza Rostami, Samuel Berchi Kankam, Fatemeh Ranjbaran, Mahsa Pourhamzeh, Alzheimer’s Disease Neuroimaging Initiative (ADNI)

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In one paragraph

Article in Aging clinical and experimental research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
3.6field-weighted citation impact, top 7% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

16 citing papers in PubMed, 1 synthesis or guideline pooled it, 27 citations in OpenAlex.

  1. Pooled it
  2. Trial
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  7. Article
  8. Circulating Biomarkers for the Early Diagnosis of Alzheimer's Disease.International journal of molecular sciences · 2025
    Review
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  16. White matter dementia then… and now.Frontiers in neurology · 2022
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 2 institutions in 1 country.

Fardin NabizadehNeuroscience Research Group (NRG), Universal Scientific Education and Research Network (USERN), Tehran, Iran. fardinnabizade1378@gmail.com.ORCID http://orcid.org/0000-0002-4633-3340
Mohammad BalabandianNeuroscience Research Group (NRG), Universal Scientific Education and Research Network (USERN), Tehran, Iran.
Mohammad Reza RostamiNeuroscience Research Group (NRG), Universal Scientific Education and Research Network (USERN), Tehran, Iran.
Samuel Berchi KankamSchool of Medicine, Tehran University of Medical Sciences, Tehran, Iran.
Fatemeh RanjbaranSchool of Health Management and Information Sciences, Iran University of Medical Sciences, Tehran, Iran.
Mahsa PourhamzehDivision of Neuroscience, Cellular and Molecular Research Center, Iran University of Medical Sciences, Tehran, Iran. Poorhamze.m@iums.ac.ir.
Alzheimer’s Disease Neuroimaging Initiative (ADNI)
Iran University of Medical Sciences · IRTehran University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe blood biomarker neurofilament light (NFL) is one of the most widely used for monitoring Alzheimer's disease (AD). According to recent research, a higher NFL plasma level has a substantial predictive value for cognitive deterioration in AD patients. Diffusion tensor imaging (DTI) is an MRI-based approach for detecting neurodegeneration, white matter (WM) disruption, and synaptic damage. There have been few studies on the relationship between plasma NFL and WM microstructure integrity.

aimsThe goal of the current study is to assess the associations between plasma levels of NFL, CSF total tau, phosphorylated tau181 (P-tau181), and amyloid-β (Aβ) with WM microstructural alterations.

methodsWe herein have investigated the cross-sectional association between plasma levels of NFL and WM microstructural alterations as evaluated by DTI in 92 patients with mild cognitive impairment (MCI) provided by Alzheimer's Disease Neuroimaging Initiative (ADNI) participants. We analyzed the potential association between plasma NFL levels and radial diffusivity (RD), axial diffusivity (AxD), mean diffusivity (MD), and fractional anisotropy (FA) in each region of the Montreal Neurological Institute and Hospital (MNI) atlas, using simple linear regression models stratified by age, sex, and APOE ε4 genotype.

resultsOur findings demonstrated a significant association between plasma NFL levels and disrupted WM microstructure across the brain. In distinct areas, plasma NFL has a negative association with FA in the fornix, fronto-occipital fasciculus, corpus callosum, uncinate fasciculus, internal capsule, and corona radiata and a positive association with RD, AxD, and MD values in sagittal stratum, corpus callosum, fronto-occipital fasciculus, corona radiata, internal capsule, thalamic radiation, hippocampal cingulum, fornix, and cingulum. Lower FA and higher RD, AxD, and MD values are related to demyelination and degeneration in WM.

conclusionOur findings revealed that the level of NFL in the blood is linked to WM alterations in MCI patients. Plasma NFL has the potential to be a biomarker for microstructural alterations. However, further longitudinal studies are necessary to validate the predictive role of plasma NFL in cognitive decline.

Indexed as

Alzheimer DiseaseWhite MatterBiomarkersBrainCross-Sectional StudiesDiffusion Tensor ImagingHumansIntermediate FilamentsBiomarkersAlzheimer’s diseaseBiomarkerDiffusion tensor imagingMild cognitive impairmentNeurofilament light chainWhite matter

Identifiers

PMID35226303
OpenAlexW4214567574

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.