Evidence map›Paper›PMID 41225311›Full record

ArticleBMC genomics2025

Blood plasma proteomics for detecting potential biomarkers for tick resistance in a tropically adapted beef cattle breed.

Natalya G Abduch, Henrique G Reolon, Rafael M O Silva, Fernando Baldi, Breno O Fragomeni, Daniela Lourenco, Claudia C P Paz, Nedenia B Stafuzza

Abstract read
In one paragraph

Article in BMC genomics, 2025. 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
–field-weighted citation impact
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.

  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.

Natalya G AbduchBeef Cattle Research Center, Animal Science Institute, Sertãozinho, Brazil.
Henrique G ReolonBeef Cattle Research Center, Animal Science Institute, Sertãozinho, Brazil.
Rafael M O SilvaAngus Genetics Inc., Saint Joseph, MO, USA.
Fernando BaldiSchool of Animal Science and Food Engineering, University of São Paulo, Pirassununga, Brazil.
Breno O FragomeniDepartment of Animal Science, University of Connecticut, Storrs, CT, USA.
Daniela LourencoDepartment of Animal and Dairy Science, University of Georgia, Athens, GA, USA.
Claudia C P PazDepartment of Genetics, Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto, Brazil.
Nedenia B StafuzzaBeef Cattle Research Center, Animal Science Institute, Sertãozinho, Brazil. nedeniabs@gmail.com.

Funding

Conselho Nacional de Desenvolvimento Científico e Tecnológico 302914/2022-6Conselho Nacional de Desenvolvimento Científico e Tecnológico 407134/2021-2Fundação de Amparo à Pesquisa do Estado de São Paulo 2018/19216-7
6 · The paper itself

Abstract

backgroundTick infestation is one of the main challenges in tropical beef cattle production, leading to significant economic losses. Knowledge of the molecular factors underlying natural tick resistance in cattle contributes to genetic selection through the identification of biomarkers that can be used to accurately identify animals resistant to ticks. Although several genes associated with resistance to ticks have been identified, the molecular mechanisms underlying tick resistance are yet to be elucidated. This study investigated the biological processes, pathways, and key proteins involved in the resistance to the tick Rhipicephalus (Boophilus) microplus in a tropically adapted beef cattle breed. Tick resistance was evaluated in 162 Caracu cows. Blood samples were collected from a subset of 16 extreme animals, including eight with a high tick load (SUS) and eight with a low tick load (RES), for proteomic analysis by LC-MS/MS.

resultsA total of 172 and 34 proteins were exclusively identified in plasma samples from the SUS and RES groups, respectively. In addition, 14,034 proteins were detected in the blood plasma of both groups, of which 51 and 101 proteins were significantly increased in plasma samples of the SUS and RES groups, respectively. Among the top 20 proteins with the highest absolute log-fold change values, those encoded by the RNASE1, TNS2, NOXO1, ZNRF3, APOA4, KMT2B, RPS6KA5, PON1, C4BPA, SETD2, HP, TMEM63A, MAST2, and SETD1B genes were highlighted based on their functions that may contribute to a response to tick infestation. Functional enrichment analysis revealed 36 biological processes, 35 molecular functions, and 16 pathways to be significant (P < 0.05), highlighting those related to hemostasis, vesicular transport, cell proliferation and migration, calcium, actin, lipids, scavenger receptors, hydrogen peroxide, tyrosine, and insulin-like growth factor, which may contribute to tick resistance. In addition, PPI network analysis revealed several proteins involved in complement and coagulation systems, hematopoiesis, and immune response as important nodes, based on their centrality and edges.

conclusionsThe identification of differentially abundant proteins between RES and SUS animals, as well as their relationships and roles in key biological processes and molecular pathways detected, contribute to improving our understanding of the mechanisms underlying tick resistance in naturally adapted cattle breeds. Furthermore, the differentially abundant proteins detected in this study are potential biomarkers for the response to R. microplus infestation.

Indexed as

BiomarkersBlood ProteinsCattle DiseasesDisease ResistanceProteomicsTick InfestationsAnimalsBreedingCattleRhipicephalusBiomarkersBlood ProteinsBos taurus taurusCaracu beef cattleLiquid chromatography-tandem mass spectrometryProtein-protein interactionRhipicephalus (Boophilus) microplus

Identifiers

PMID41225311
PMCPMC12613688

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.