Evidence map›Paper›PMID 39538142›Full record

ArticleBMC genomics2024

Proteomic identification of potential biomarkers for heat tolerance in Caracu beef cattle using high and low thermotolerant groups.

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

Abstract read
In one paragraph

Article in BMC genomics, 2024. 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
–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

5 citing papers in PubMed.

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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.

Ana Claudia de FreitasBeef Cattle Research Center, Animal Science Institute, Sertãozinho, SP, 14160-900, Brazil.
Henrique G ReolonBeef Cattle Research Center, Animal Science Institute, Sertãozinho, SP, 14160-900, Brazil.
Natalya G AbduchBeef Cattle Research Center, Animal Science Institute, Sertãozinho, SP, 14160-900, Brazil.
Fernando BaldiDepartment of Animal Science, School of Agricultural and Veterinary Sciences, São Paulo State University (UNESP), Jaboticabal, SP, 14884-900, Brazil.
Rafael M O SilvaAngus Genetics Inc, Saint Joseph, MO, 64506, USA.
Daniela LourencoDepartment of Animal and Dairy Science, University of Georgia, Athens, GA, 30602, USA.
Breno O FragomeniUniversity of Connecticut, Storrs, CT, 06269-4040, USA.
Claudia C P PazSustainable Livestock Research Center, Animal Science Institute, São José do Rio Preto, SP, 15130-000, Brazil.
Nedenia B StafuzzaBeef Cattle Research Center, Animal Science Institute, Sertãozinho, SP, 14160-900, Brazil. nedeniabs@gmail.com.

Funding

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

Abstract

backgroundHeat stress has deleterious effects on physiological and performance traits in livestock. Within this context, using tropically adapted cattle breeds in pure herds or terminal crossbreeding schemes to explore heterosis is attractive for increasing animal production in warmer climate regions. This study aimed to identify biological processes, pathways, and potential biomarkers related to thermotolerance in Caracu, a tropically adapted beef cattle breed, by proteomic analysis of blood plasma. To achieve this goal, 61 bulls had their thermotolerance evaluated through a heat tolerance index. A subset of 14 extreme animals, including the seven most thermotolerant (HIGH group) and the seven least thermotolerant (LOW group), had their blood plasma samples used for proteomic analysis by liquid chromatography coupled to tandem mass spectrometry (LC-MS/MS). The differentially regulated proteins detected between HIGH and LOW groups were used to perform functional enrichment analysis and a protein-protein interaction network analysis.

resultsA total of 217 proteins were detected only in the HIGH thermotolerant group and 51 only in the LOW thermotolerant group. In addition, 81 and 87 proteins had significantly higher and lower abundancies in the HIGH group, respectively. Regarding proteins with the highest absolute log-fold change values, we highlighted those encoded by DUSP5, IGFALS, ROCK2, RTN4, IRAG1, and NNT genes based on their functions. The functional enrichment analysis detected several biological processes, molecular functions, and pathways related to cellular responses to stress, immune system, complement system, and hemostasis in both HIGH and LOW groups, in addition to terms and pathways related to lipids and calcium only in the HIGH group. Protein-protein interaction (PPI) network revealed as important nodes many proteins with roles in response to stress, hemostasis, immune system, inflammation, and homeostasis. Additionally, proteins with high absolute log-fold change values and proteins detected as essential nodes by PPI analysis highlighted herein are potential biomarkers for thermotolerance, such as ADRA1A, APOA1, APOB, APOC3, C4BPA, CAT, CFB, CFH, CLU, CXADR, DNAJB1, DNAJC13, DUSP5, FGA, FGB, FGG, HBA, HBB, HP, HSPD1, IGFALS, IRAG1, KNG1, NNT, OSGIN1, PROC, PROS1, ROCK2, RTN4, RYR1, TGFB2, VLDLR, VTN, and VWF.

conclusionsIdentifying potential biomarkers, molecular mechanisms and pathways that act in response to heat stress in tropically adapted beef cattle contributes to developing strategies to improve performance and welfare traits in livestock under tropical climates.

Indexed as

BiomarkersProteomicsThermotoleranceAnimalsCattleMaleProtein Interaction MapsProteomeBiomarkersProteomeBiological processesHeat stressLC-MS/MSPathwaysProtein-protein interactionTropically adapted breed

Identifiers

PMID39538142
PMCPMC11562314

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LicenceCC BY-NC-ND
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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.