Evidence map›Paper›PMID 35020753›Full record

ArticlePloS one2022

Quantification of human plasma metalloproteins in multiple sclerosis, ischemic stroke and healthy controls reveals an association of haptoglobin-hemoglobin complexes with age.

Sophia Sarpong-Kumankomah, Katherine B Knox, Michael E Kelly, Gary Hunter, Bogdan Popescu, Helen Nichol, Karen Kopciuk, Henry Ntanda, Jürgen Gailer

Open access · goldAbstract read
In one paragraph

Article in PloS one, 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
1.5field-weighted citation impact, top 17% 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, 11 citations in OpenAlex.

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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.

Sophia Sarpong-KumankomahDepartment of Chemistry, University of Calgary, Calgary, Canada.
Katherine B KnoxDepartment of Physical Medicine and Rehabilitation, College of Medicine, University of Saskatchewan, Saskatoon, Canada.
Michael E KellyDivision of Neurosurgery, College of Medicine, University of Saskatchewan, Saskatoon, Canada.
Gary HunterDivision of Neurology, College of Medicine, University of Saskatchewan, Saskatoon, Canada.
Bogdan PopescuDepartment of Anatomy, Physiology and Pharmacology, University of Saskatchewan, Saskatoon, Canada.
Helen NicholDepartment of Anatomy, Physiology and Pharmacology, University of Saskatchewan, Saskatoon, Canada.
Karen KopciukDepartments of Mathematics and Statistics, Oncology and Community Health Sciences, University of Calgary and Cancer Epidemiology and Prevention Research, Cancer Control Alberta, Calgary, Canada.
Henry NtandaDepartment of Pediatrics, Cumming School of Medicine, University of Calgary, Calgary, Canada.
Jürgen GailerDepartment of Chemistry, University of Calgary, Calgary, Canada.ORCID 0000-0002-8264-8243
University of Saskatchewan · CAUniversity of Calgary · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Advanced analytical methods play an important role in quantifying serum disease biomarkers. The problem of separating thousands of proteins can be reduced by analyzing for a 'sub-proteome', such as the 'metalloproteome', defined as all proteins that contain bound metals. We employed size exclusion chromatography (SEC) coupled to an inductively coupled plasma atomic emission spectrometer (ICP-AES) to analyze plasma from multiple sclerosis (MS) participants (n = 21), acute ischemic stroke (AIS) participants (n = 17) and healthy controls (n = 21) for Fe, Cu and Zn-metalloproteins. Using ANOVA analysis to compare the mean peak areas among the groups revealed no statistically significant differences for ceruloplasmin (p = 0.31), α2macroglobulin (p = 0.51) and transferrin (p = 0.31). However, a statistically significant difference was observed for the haptoglobin-hemoglobin (Hp-Hb) complex (p = 0.04), being driven by the difference between the control group and AIS (p = 0.012), but not with the MS group (p = 0.13), based on Dunnes test. A linear regression model for Hp-Hb complex with the groups now adjusted for age found no statistically significant differences between the groups (p = 0.95), but was suggestive for age (p = 0.057). To measure the strength of association between the Hp-Hb complex and age without possible modifications due to disease, we calculated the Spearman rank correlation in the healthy controls. The latter revealed a positive association (r = 0.39, 95% Confidence Interval = (-0.05, 0.83), which suggests that either the removal of Hp-Hb complexes from the blood circulation slows with age or that the release of Hb from red blood cells increases with age. We also observed that the Fe-peak corresponding to the Hp-Hb complex eluted ~100 s later in ~14% of all study samples, which was not correlated with age or disease diagnosis, but is consistent with the presence of the smaller Hp (1-1) isoform in 15% of the population.

Indexed as

AdultCase-Control StudiesCeruloplasminChromatography, GelCopperFemaleHaptoglobinsHemoglobinsHumansIronIschemic StrokeMaleMetalloproteinsMiddle AgedMultiple SclerosisPregnancy-Associated alpha 2-MacroglobulinsCeruloplasminCopperhaptoglobin-hemoglobin complexHaptoglobinsHemoglobinsIronMetalloproteinsPregnancy-Associated alpha 2-MacroglobulinsTransferrin

Identifiers

PMID35020753
PMCPMC8754309
OpenAlexW4205744949

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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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.