Evidence map›Paper›PMID 34551803›Full record

ArticleParasites & vectors2021

Changes in serum biomarkers of inflammation in bovine besnoitiosis.

David González-Barrio, Ana Huertas-López, Carlos Diezma-Díaz, Ignacio Ferre, José Joaquín Cerón, Luis Miguel Ortega-Mora, Gema Álvarez-García

Open access · goldAbstract read
In one paragraph

Article in Parasites & vectors, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.2field-weighted citation impact, top 23% 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

1 citing paper in PubMed, 7 citations in OpenAlex.

  1. Review
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

7 authors at 2 institutions in 2 countries.

David González-BarrioAnimal Health Department, Faculty of Veterinary Sciences, SALUVET, Complutense University of Madrid, Ciudad Universitaria s/n, 28040, Madrid, Spain. davigo20@ucm.es.ORCID http://orcid.org/0000-0001-5083-8854
Ana Huertas-LópezInterdisciplinary Laboratory of Clinical Analysis (Interlab-UMU), Regional Campus of International Excellence Mare Nostrum, Espinardo, 30100, University of Murcia, Murcia, Spain.
Carlos Diezma-DíazAnimal Health Department, Faculty of Veterinary Sciences, SALUVET, Complutense University of Madrid, Ciudad Universitaria s/n, 28040, Madrid, Spain.
Ignacio FerreAnimal Health Department, Faculty of Veterinary Sciences, SALUVET, Complutense University of Madrid, Ciudad Universitaria s/n, 28040, Madrid, Spain.
José Joaquín CerónInterdisciplinary Laboratory of Clinical Analysis (Interlab-UMU), Regional Campus of International Excellence Mare Nostrum, Espinardo, 30100, University of Murcia, Murcia, Spain.
Luis Miguel Ortega-MoraAnimal Health Department, Faculty of Veterinary Sciences, SALUVET, Complutense University of Madrid, Ciudad Universitaria s/n, 28040, Madrid, Spain.
Gema Álvarez-GarcíaAnimal Health Department, Faculty of Veterinary Sciences, SALUVET, Complutense University of Madrid, Ciudad Universitaria s/n, 28040, Madrid, Spain.
Universidad Complutense de Madrid · ESUniversidad de Murcia · ES

Funding

Community of Madrid PLATESA P2018/ BAA-4370Ministerio de Economía y Competitividad AGL-2016-75202-R and PID2019-103960RB-I00
6 · The paper itself

Abstract

backgroundAcute and chronic besnoitiosis in extensive natural-service herds can have relevant effects in the health of bulls and negative consequences in their productive performance. Recent progress has been made in order to elucidate the pathogenesis of this disease. In this context, the study of biomarkers of inflammation in serum would contribute to gaining knowledge about the physiopathology of bovine besnoitiosis. Serological biomarkers could help in early diagnosis and prognosis, as seropositive bulls may have mild or severe testicular lesions.

methodsHerein, we have investigated the diagnostic and/or prognostic value of a panel of serum (serological) biomarkers related to inflammation, including total protein, globulin and albumin, haptoglobin (Hp), adenosine deaminase (ADA) paraoxonase-1 (PON-1) and acetylcholinesterase (AChE) in naturally and experimentally B. besnoiti-infected males classified according to different clinical phases of the disease (acute, chronic and subclinical besnoitiosis).

resultsResults showed a similar response pattern in these biomarkers for naturally and experimentally infected cattle, with a few relevant variations. Most significant changes occurred during the acute phase of infection, although significant changes in a few biomarkers were also observed during the chronic infection. Haptoglobin, albumin, PON-1 and ADA were identified as the biomarkers that showed changes of higher magnitude in the acute phase of the infection, whereas high total protein and globulin values were found in chronically infected cattle. We have described the changes of a panel of inflammatory biomarkers of acute and chronic bovine besnoitiosis.

conclusionsIn summary, several biomarkers with promising diagnostic value have been identified. The biomarkers associated with acute infection are related to previously reported molecular biomarkers in testicular parenchyma of infected bulls and could help in the diagnosis of early infections and complement results from specific immunoglobulin M (IgM) detection.

Indexed as

AcetylcholinesteraseAdenosine DeaminaseAnimalsAryldialkylphosphataseBiomarkersCattleCattle DiseasesCoccidiaCoccidiosisGlobulinsHaptoglobinsAcetylcholinesteraseAdenosine DeaminaseAryldialkylphosphataseBiomarkersGlobulinsHaptoglobinsAcetylcholinesteraseAcute-phase responseAdenosine deaminaseAlbuminBovine besnoitiosisHaptoglobinParaoxonase-1Serological biomarkers

Identifiers

PMID34551803
PMCPMC8459460
OpenAlexW3201631671

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.