Evidence map›Paper›PMID 42825166›Full record

ArticleFrontiers in veterinary science2026

Precision livestock farming and integrated molecular profiling reveal heat-stress resilience signatures in Marchigiana cattle.

Roberta Ratto, Daniele Pietrucci, Samanta Mecocci, Marta Alonso-Hearn, Gerard Badia-Bringué, Gabriele Acuti, Francesco Renzi, Federica Gabbianelli, Stefania Bergagna, Cecilia Guasco and 6 more

Abstract read
In one paragraph

Article in Frontiers in veterinary science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

16 authors.

Roberta Ratto *Department of Veterinary Medicine, University of Perugia, Perugia, Italy.
Daniele Pietrucci *Department for Innovation in Biological, Agro-Food and Forest Systems (DIBAF), University of Tuscia, Viterbo, Italy.
Samanta MecocciDepartment for Innovation in Biological, Agro-Food and Forest Systems (DIBAF), University of Tuscia, Viterbo, Italy.
Marta Alonso-HearnDepartment of Animal Science, NEIKER, Basque Institute for Agricultural Research and Development, Basque Research and Technology Alliance (BRTA), Derio, Spain.
Gerard Badia-BringuéDepartment of Animal Science, NEIKER, Basque Institute for Agricultural Research and Development, Basque Research and Technology Alliance (BRTA), Derio, Spain.
Gabriele AcutiDepartment of Veterinary Medicine, University of Perugia, Perugia, Italy.
Francesco RenziDepartment for Innovation in Biological, Agro-Food and Forest Systems (DIBAF), University of Tuscia, Viterbo, Italy.
Federica GabbianelliDepartment for Innovation in Biological, Agro-Food and Forest Systems (DIBAF), University of Tuscia, Viterbo, Italy.
Stefania BergagnaIstituto Zooprofilattico Sperimentale del Piemonte Liguria e Valle d'Aosta, Turin, Italy.
Cecilia GuascoIstituto Zooprofilattico Sperimentale del Piemonte Liguria e Valle d'Aosta, Turin, Italy.
Davide Del BuonoDepartment for Innovation in Biological, Agro-Food and Forest Systems (DIBAF), University of Tuscia, Viterbo, Italy.
Riccardo ValentiniDepartment for Innovation in Biological, Agro-Food and Forest Systems (DIBAF), University of Tuscia, Viterbo, Italy.
Marco MilanesiDepartment of Animal Science, Food and Nutrition - DIANA, Università Cattolica del Sacro Cuore, Piacenza, Italy.
Piera MazzoneIstituto Zooprofilattico Sperimentale dell'Umbria e delle Marche "Togo Rosati" (IZSUM), Perugia, Italy.
Katia CappelliDepartment of Veterinary Medicine, University of Perugia, Perugia, Italy.
Giovanni ChillemiDepartment of Experimental Medicine, University of Rome "Tor Vergata", Rome, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Heat stress is an increasing challenge for cattle welfare and biological efficiency under climate change. Locally adapted and less intensively selected breeds may represent models for investigating resilience mechanisms, as they may retain adaptive traits useful for the selection of heat-resilient animals. This study characterized the response of Marchigiana cattle, a local Italian beef breed adapted to semi-extensive environments, in comparison with two cosmopolitan breeds with different productive aptitudes, Limousine and Holstein. Precision Livestock Farming, hematological profiling, and blood transcriptomics were integrated to investigate population- and breed-associated responses to heat stress (HS) under the specific farming conditions examined. Methods: IoT collars were applied only to Marchigiana cattle to record activity patterns and animal-proximal environmental variables. Blood samples from the three cattle populations were collected during summer HS and thermoneutral conditions, with sampling days selected according to the temperature-humidity index (THI). Results: Sensor-derived data in Marchigiana cattle identified distinct clusters with differences in movement intensity and animal-proximal THI dynamics during HS. Hematological analyses revealed population-specific responses: Holstein showed increased neutrophils and platelets, consistent with a stronger inflammatory profile, whereas Marchigiana exhibited higher red blood cell counts and hemoglobin under HS, suggesting better maintenance of systemic homeostasis. Transcriptomic analysis identified both shared and population-specific responses to HS. Although all populations activated core immune- and stress-related pathways, the magnitude and organization of the response differed markedly. Holstein displayed the broadest inflammatory, immunometabolic, and tissue-remodeling signature, Limousine showed an intermediate profile, whereas Marchigiana exhibited a more coordinated response characterized by immune modulation, redox protection, metabolic buffering, and less pronounced extracellular matrix remodeling. We performed expression quantitative trait loci (eQTL) mapping using gene expression data and whole-genome imputed or non-imputed genotypes. Using imputed or non-imputed genotypes, we identified 43 and 65 cis-eQTLs influencing the expression of 45 and 73 genes, respectively. Discussion: Our findings indicate that Marchigiana cattle exhibited hematological and transcriptomic profiles consistent with a potentially more balanced adaptive response to HS under the investigated conditions. However, because each breed was sampled on a different farm and direct physiological or productive measures of resilience were not included, the results do not establish an exclusively genetic breed effect or definitively demonstrate superior resilience. Integrating sensor-derived phenotypes with blood-based biomarkers may nevertheless help identify biological signatures associated with inter-individual responses. In addition, integrating transcriptomics and genomics identified cis-eQTLs that provide candidate regulatory markers for future studies of heat adaptation.

Indexed as

biomarkerscattleCis-eQTLgene expression regulationheat stressprecision livestock farmingresiliencethermotolerance

Identifiers

PMID42825166
PMCPMC13629503

What Socratic holds

Textmetadata
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 Socratic graph.