Evidence map›Paper›PMID 36712738›Full record

ArticleCureus2022

Filtered Cerebrospinal Fluid From Patients With Amyotrophic Lateral Sclerosis Displays an Altered Proteome and Affects Motor Phenotype in a Mouse Model.

Vishal Venkatraman, Anthony J Filiano, Li Xu, Leonard Collins, Emily Luo, Katelyn M Ripple, George C de Castro, Jane-Valeriane K Boua, Choiselle Marius, Charles Giamberardino and 4 more

Open access · diamondAbstract read
In one paragraph

Article in Cureus, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.7field-weighted citation impact, top 27% 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

5 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Recent Advances in Human Cerebrospinal Fluid Proteomics.Methods in molecular biology (Clifton, N.J.) · 2025
    Article
  5. Article
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

14 authors at 4 institutions in 1 country.

Vishal VenkatramanDepartment of Neurosurgery, Duke University Medical Center, Durham, USA.
Anthony J FilianoDepartment of Neurosurgery, Duke University Medical Center, Durham, USA.
Li XuDepartment of Neurosurgery, Duke University Medical Center, Durham, USA.
Leonard CollinsMolecular Education, Technology and Research Innovation Center (METRIC), North Carolina State University, Raleigh, USA.
Emily LuoDepartment of Neurosurgery, Duke University Medical Center, Durham, USA.
Katelyn M RippleDepartment of Neurosurgery, Duke University Medical Center, Durham, USA.
George C de CastroDepartment of Neurosurgery, Duke University Medical Center, Durham, USA.
Jane-Valeriane K BouaDepartment of Neurosurgery, Duke University Medical Center, Durham, USA.
Choiselle MariusDepartment of Neurosurgery, Duke University Medical Center, Durham, USA.
Charles GiamberardinoDepartment of Neurosurgery, Duke University Medical Center, Durham, USA.
Shivanand P LadDepartment of Neurosurgery, Duke University Medical Center, Durham, USA.
Taufika Islam WilliamsMolecular Education, Technology and Research Innovation Center (METRIC), North Carolina State University, Raleigh, USA.
Michael S BeremanDepartment of Biological Sciences, North Carolina State University, Raleigh, USA.
Richard S BedlackDepartment of Neurology, Duke University Medical Center, Durham, USA.
North Carolina State University · USDuke Medical Center · USDuke University Hospital · USDuke University · US

Funding

Support for QA/QC for Prior Approval ProcessUL1TR002553 · NCATS · DUKE UNIVERSITY · PI LI, JENNIFER S, MCNAMARA, JAMES O. · 2018 to 2023
$58.5M
NCATS NIH HHS UL1 TR002553
6 · The paper itself

Abstract

introductionCerebrospinal fluid (CSF) has been implicated in amyotrophic lateral sclerosis (ALS) due to its ability to spread inflammatory proteins throughout the nervous system. We hypothesized that filtration of the CSF could remove pathogenic proteins and prevent them from altering motor phenotypes in a mouse model.

methodsWe filtered the CSF from 11 ALS patients via 100 kilodaltons (kD) molecular weight cut-off filters. We used mass spectrometry-based discovery proteomics workflows to compare protein abundances before and after filtration. To test the effects of CSF filtration on motor function, we injected groups of mice with saline, filtered ALS-CSF, or unfiltered ALS-CSF (n=12 per group) and assessed motor function via pole descent and open field tests.

resultsWe identified proteins implicated in ALS pathogenesis and showed that these were removed in significant amounts in our workflow. Key filtered proteins included complement proteins, chitinases, serine protease inhibitors, and neuro-inflammatory proteins such as amyloid precursor protein, chromogranin A, and glial fibrillary acidic protein. Compared to the filtered ALS-CSF mice, unfiltered ALS-CSF mice took longer to descend a pole (10 days post-injection, 11.14 seconds vs 14.25 seconds, p = 0.02) and explored less on an open field (one day post-injection, 21.81 m vs 16.83 m, p = 0.0004).

conclusionsWe demonstrated the ability to filter proteins from the CSF of ALS patients and identified potentially pathologic proteins that were reduced in quantity. Additionally, we demonstrated the ability of unfiltered ALS-CSF to induce motor deficits in mice on the pole descent and open field tests and showed that filtration could prevent this deficit. Given the lack of effective treatments for ALS, this could be a novel solution for patients suffering from this deadly and irreversible condition.

Indexed as

amyotrophic lateral sclerosiscsf filtrationcsf proteomicsmouse modelneurapheresis

Identifiers

PMID36712738
PMCPMC9877488
OpenAlexW4312200683

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.