Evidence map›Paper›PMID 35690735›Full record

ArticleBMC neurology2022

Serum biomarkers of neuroinflammation and blood-brain barrier leakage in amyotrophic lateral sclerosis.

Maize C Cao, Erin E Cawston, Grace Chen, Collin Brooks, Jeroen Douwes, Dave McLean, E Scott Graham, Mike Dragunow, Emma L Scotter

Open access · goldAbstract read
In one paragraph

Article in BMC neurology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
5.4field-weighted citation impact, top 3% 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

29 citing papers in PubMed, 44 citations in OpenAlex.

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  15. Transient Receptor Potential Channels in the Healthy and Diseased Blood-Brain Barrier.The journal of histochemistry and cytochemistry : official journal of the Histochemistry Society · 2024
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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

9 authors at 2 institutions in 1 country.

Maize C CaoDepartment of Pharmacology and Clinical Pharmacology, University of Auckland, 85 Park Road, Auckland, 1023, New Zealand.
Erin E CawstonDepartment of Pharmacology and Clinical Pharmacology, University of Auckland, 85 Park Road, Auckland, 1023, New Zealand.
Grace ChenCentre for Public Health Research, Massey University, PO Box 75, Wellington, 6140, New Zealand.
Collin BrooksCentre for Public Health Research, Massey University, PO Box 75, Wellington, 6140, New Zealand.
Jeroen DouwesCentre for Public Health Research, Massey University, PO Box 75, Wellington, 6140, New Zealand.
Dave McLeanCentre for Public Health Research, Massey University, PO Box 75, Wellington, 6140, New Zealand.
E Scott GrahamCentre for Brain Research, University of Auckland, Private Bag 92019, Auckland, 1142, New Zealand.
Mike DragunowDepartment of Pharmacology and Clinical Pharmacology, University of Auckland, 85 Park Road, Auckland, 1023, New Zealand. m.dragunow@auckland.ac.nz.
Emma L ScotterDepartment of Pharmacology and Clinical Pharmacology, University of Auckland, 85 Park Road, Auckland, 1023, New Zealand. emma.scotter@auckland.ac.nz.
University of Auckland · NZMassey University · NZ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Amyotrophic lateral sclerosis (ALS) is an incurable and rapidly progressive neurological disorder. Biomarkers are critical to understanding disease causation, monitoring disease progression and assessing the efficacy of treatments. However, robust peripheral biomarkers are yet to be identified. Neuroinflammation and breakdown of the blood-brain barrier (BBB) are common to familial and sporadic ALS and may produce a unique biomarker signature in peripheral blood. Using cytometric bead array (n = 15 participants per group (ALS or control)) and proteome profiling (n = 6 participants per group (ALS or control)), we assessed a total of 106 serum cytokines, growth factors, and BBB breakdown markers in the serum of control and ALS participants. Further, primary human brain pericytes, which maintain the BBB, were used as a biosensor of inflammation following pre-treatment with ALS serum. Principal components analysis of all proteome profile data showed no clustering of control or ALS sera, and no individual serum proteins met the threshold for statistical difference between ALS and controls (adjusted P values). However, the 20 most changed proteins between control and ALS sera showed a medium effect size (Cohen's d = 0.67) and cluster analysis of their levels together identified three sample subsets; control-only, mixed control-ALS, and ALS-only. These 20 proteins were predominantly pro-angiogenic and growth factors, including fractalkine, BDNF, EGF, PDGF, Dkk-1, MIF and angiopoietin-2. S100β, a protein highly concentrated in glial cells and therefore a marker of BBB leakage when found in blood, was unchanged in ALS serum, suggesting that serum protein profiles were reflective of peripheral rather than CNS biofluids. Finally, primary human brain pericytes remained proliferative and their secretome was unchanged by chronic exposure to ALS serum. Our exploratory study suggests that individual serum cytokine levels may not be robust biomarkers in small studies of ALS, but that larger studies using multiplexed analysis of pro-angiogenic and growth factors may identify a peripheral signature of ALS pathogenesis.

Indexed as

Amyotrophic Lateral SclerosisBiomarkersBlood-Brain BarrierCytokinesHumansIntercellular Signaling Peptides and ProteinsNeuroinflammatory DiseasesProteomeBiomarkersCytokinesIntercellular Signaling Peptides and ProteinsProteomeAmyotrophic lateral sclerosisBlood-brain barrierCytokineNeuroinflammationSerum

Identifiers

PMID35690735
PMCPMC9188104
OpenAlexW4282929162

What OpenQuestion holds

Textmetadata
LicenceCC BY
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 OpenQuestion graph.