Evidence map›Paper›PMID 28173805›Full record

ArticleBMC veterinary research2017

Serum proteomic profiles in CKCS with Mitral valve disease.

Chiara Locatelli, Cristian Piras, Giulia Riscazzi, Isabella Alloggio, Ilaria Spalla, Alessio Soggiu, Viviana Greco, Luigi Bonizzi, Paola Roncada, Paola G Brambilla

Open access · goldAbstract read
In one paragraph

Article in BMC veterinary research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
0.3field-weighted citation impact, top 32% 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

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 19 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Recent advances in omics-based research of mitral valve disease.Frontiers in cardiovascular medicine · 2026
    Review
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Serum proteome of dogs with chronic enteropathy.Journal of veterinary internal medicine
    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

10 authors at 2 institutions in 1 country.

Chiara LocatelliDIMEVET, Department of Veterinary Medicine, University of Milan, Milan, Italy.
Cristian PirasDIMEVET, Department of Veterinary Medicine, University of Milan, Milan, Italy.
Giulia RiscazziDIMEVET, Department of Veterinary Medicine, University of Milan, Milan, Italy.
Isabella AlloggioDIMEVET, Department of Veterinary Medicine, University of Milan, Milan, Italy.
Ilaria SpallaDIMEVET, Department of Veterinary Medicine, University of Milan, Milan, Italy.
Alessio SoggiuDIMEVET, Department of Veterinary Medicine, University of Milan, Milan, Italy.
Viviana GrecoFondazione Santa Lucia -IRCCS, Rome, Italy.
Luigi BonizziDIMEVET, Department of Veterinary Medicine, University of Milan, Milan, Italy.
Paola RoncadaDIMEVET, Department of Veterinary Medicine, University of Milan, Milan, Italy.
Paola G BrambillaDIMEVET, Department of Veterinary Medicine, University of Milan, Milan, Italy. paola.brambilla@unimi.it.
University of Milan · ITIstituti di Ricovero e Cura a Carattere Scientifico · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMyxomatous mitral valve disease (MVD) is the most common acquired heart disease in dogs, and the Cavalier King Charles Spaniel (CKCS) is the most studied breed because of the high prevalence, early onset and hereditary component evidenced in the breed. MVD has different severity levels, and there are many practical limitations in identifying its asymptomatic stages. Proteomic techniques are valuable for studying the proteins and peptides involved in cardiovascular diseases, including the period prior to the clinical onset of the disease. The aim of this study was to identify the serum proteins that were differentially expressed in healthy CKCS and those affected by MVD in mild to severe stages. Proteomics analysis was performed using two-dimensional gel electrophoresis separation and a bioinformatics analysis for the detection of differentially expressed spots. In a comparative analysis, protein spots with a p < 0.05 (ANOVA) were considered statistically significant and were excised from the gels for analysis by MALDI-TOF-MS for protein identification.

resultsEight proteins resulted differentially expressed among the groups and significantly related to the progression of the disease. In mild affected group versus healthy dogs complement factor H isoform 2, inhibitor of carbonic anhydrase, hemopexin, dystrobrevin beta isoform X7 and CD5 molecule-like resulted to be down-regulated, whereas fibronectin type-III domain-containing protein 3A isoform X4 was up-regulated. In severe affected dogs versus healthy group complement factor H isoform 2, calpain-3 isoform X2, dystrobrevin beta isoform X7, CD5 molecule-like and l-2-hydroxyglutarate dehydrogenase resulted to be down-regulated. Complement factor H isoform 2, calpain-3 isoform X2, dystrobrevin beta isoform X7, CD5 molecule-like and hydroxyglutarate dehydrogenase were found to be down-regulated in mild affected group versus healthy dogs. All of these proteins except complement factor H followed a decreasing trend according to the progression of the pathology.

conclusionThe differential expression of serum proteins demonstrates the possibility these might be valuable for the detection and monitoring of the disease. Further longitudinal studies are required to determine whether differential protein expression occurs sufficiently early in the progression of the disease and with sufficient predictive value to allow proteomics analysis to be used as an early detection and on-line diagnostic tool.

Indexed as

ProteomeAnimalsBlood ProteinsBreedingCase-Control StudiesDog DiseasesDogsFemaleHeart Valve DiseasesMaleMitral ValveProteomicsBlood ProteinsProteomeCavalier King Charles SpanielDogMitral valve diseaseProteomic analysis

Identifiers

PMID28173805
PMCPMC5297119
OpenAlexW2587534525

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.