Evidence map›Paper›PMID 35207439›Full record

ArticleLife (Basel, Switzerland)2022

Plasma Protein Levels Analysis in Multiple Sclerosis Sardinian Families Identified C9 and CYP24A1 as Candidate Biomarkers.

Andrea Nova, Teresa Fazia, Ashley Beecham, Valeria Saddi, Marialuisa Piras, Jacob L McCauley, Carlo Berzuini, Luisa Bernardinelli

Open access · goldAbstract read
In one paragraph

Article in Life (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.6field-weighted citation impact, top 37% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. 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

8 authors at 4 institutions in 3 countries.

Andrea NovaDepartment of Brain and Behavioral Sciences, University of Pavia, 27100 Pavia, Italy.ORCID 0000-0002-7258-1938
Teresa FaziaDepartment of Brain and Behavioral Sciences, University of Pavia, 27100 Pavia, Italy.ORCID 0000-0002-9577-8450
Ashley BeechamJohn P. Hussman Institute for Human Genomics, Miller School of Medicine, University of Miami, Miami, FL 33146, USA.
Valeria SaddiDivisione di Neurologia, Presidio Ospedaliero S. Francesco, ASL Numero 3 Nuoro, 08100 Nuoro, Italy.
Marialuisa PirasDivisione di Neurologia, Presidio Ospedaliero S. Francesco, ASL Numero 3 Nuoro, 08100 Nuoro, Italy.
Jacob L McCauleyJohn P. Hussman Institute for Human Genomics, Miller School of Medicine, University of Miami, Miami, FL 33146, USA.ORCID 0000-0002-1805-1733
Carlo BerzuiniCentre for Biostatistics, The University of Manchester, Manchester M13 9PL, UK.ORCID 0000-0001-6056-0489
Luisa BernardinelliDepartment of Brain and Behavioral Sciences, University of Pavia, 27100 Pavia, Italy.
University of Pavia · ITPresidio Ospedaliero · ITUniversity of Miami · USUniversity of Manchester · GB

Funding

Fondazione Cariplo 2009-2528Fondazione Italiana Sclerosi Multipla - FISM 2009//R//2
6 · The paper itself

Abstract

Here we investigate protein levels in 69 multiple sclerosis (MS) cases and 143 healthy controls (HC) from twenty Sardinian families to search for promising biomarkers in plasma. Using antibody suspension bead array technology, the plasma levels of 56 MS-related proteins were obtained. Differences between MS cases and HC were estimated using Linear Mixed Models or Linear Quantile Mixed Models. The proportion of proteins level variability, explained by a set of 119 MS-risk SNPs as to the literature, was also quantified. Higher plasma C9 and CYP24A1 levels were found in MS cases compared to HC (

Indexed as

biomarkersexplained variabilityfamily dataplasma proteinssuspension bead array technology

Identifiers

PMID35207439
PMCPMC8879906
OpenAlexW4206526210

What Socratic 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 Socratic graph.