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Veterinary research communications2025; 49(5); 277; doi: 10.1007/s11259-025-10853-2

Evaluation of age effect on circulating catecholamines’ network in pregnant mares.

Abstract: Catecholamines (CATs) are essential neuroendocrine regulators with plasma concentrations that naturally fluctuate during pregnancy. Age-related changes in CATs, observed in humans and animals, suggest that gestation and aging together influence catecholaminergic activity. Blood samples were collected from Spanish Purebred mares categorized into three age cohorts (4-7 years, n = 18; 8-10 years, n = 18; 11-15 years, n = 18) across four defined gestational stages: first trimester (T1), second trimester (T2), third trimester (T3), and the final bimester (B4). Plasma concentrations of adrenaline (A), noradrenaline (NA), and dopamine (DA) were quantified using a horse-specific validated competitive enzyme immunoassay (3-CAT EIA). CATs during gestation showed age-dependent patterns: A declined from T1 to T2 (p < 0.05), stabilizing or slightly increasing at T3-B4; mares 8-10 years had greatest A at T1, while 11-15 years maintained greater A concentrations at T2. NA was elevated in younger mares (4-7 years) in late gestation (p ≤ 0.05), with the lowest concentrations in mares of 8-10 years. DA peaked in mid-gestation and decreased before parturition (p ≤ 0.05), with older mares that display a more stable profile. These findings highlight age-related modulation of neuroendocrine function during pregnancy.
Publication Date: 2025-08-08 PubMed ID: 40779211PubMed Central: 2765364DOI: 10.1007/s11259-025-10853-2Google Scholar: Lookup
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  • Journal Article

Summary

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This study examined how pregnancy and age together shape changes in the stress-related hormones adrenaline, noradrenaline, and dopamine in Spanish Purebred mares. The authors found age-specific patterns across gestation: adrenaline dipped early then stabilized, noradrenaline rose late in younger mares, and dopamine peaked mid-pregnancy then fell toward foaling, with older mares showing more stable profiles.

What the researchers asked and why it matters

  • Question: Does a mare’s age modify the normal pregnancy-related fluctuations in circulating catecholamines—adrenaline (A), noradrenaline (NA), and dopamine (DA)?
  • Rationale: Catecholamines are key neuroendocrine regulators of cardiovascular tone, metabolism, and stress responses; both pregnancy and aging independently alter catecholaminergic activity. Understanding their combined effects can clarify maternal adaptation and guide peripartum management.
  • Relevance: In horses, autonomic balance influences uterine blood flow, fetal environment, and behavioral/stress responses—factors important for welfare and breeding outcomes.

Study design at a glance

  • Population: Spanish Purebred (Pura Raza Española) mares grouped by age:
    • 4–7 years (n=18)
    • 8–10 years (n=18)
    • 11–15 years (n=18)
  • Sampling times across gestation:
    • T1: first trimester
    • T2: second trimester
    • T3: third trimester
    • B4: final bimester (last two months before foaling)
  • Analytes measured: plasma adrenaline (A), noradrenaline (NA), dopamine (DA)
  • Assay: horse-specific validated competitive enzyme immunoassay (3-CAT EIA)
  • Statistics: Group and stage comparisons with significance reported at p<0.05 or p≤0.05 for main findings noted.

Key findings by hormone

  • Adrenaline (A)
    • Overall pattern: Declined from T1 to T2 (p<0.05), then stabilized or slightly increased at T3–B4.
    • Age differences:
      • 8–10 years: highest A at T1 among age groups.
      • 11–15 years: maintained comparatively higher A at T2.
  • Noradrenaline (NA)
    • Overall pattern: Age-dependent divergence late in gestation.
    • Age differences:
      • 4–7 years: elevated NA in late gestation (p≤0.05).
      • 8–10 years: lowest NA concentrations across stages, especially late gestation.
  • Dopamine (DA)
    • Overall pattern: Peaked mid-gestation and decreased before parturition (p≤0.05).
    • Age differences:
      • Older mares (11–15 years): more stable DA profile across stages.

Physiological interpretation

  • Pregnancy adaptation:
    • T1→T2 drop in adrenaline suggests an early gestational shift away from acute sympathetic surges, aligning with hemodynamic stabilization as placental circulation expands.
    • Mid-gestation DA peak may reflect dopaminergic modulation of prolactin and vascular tone during a period of rapid fetoplacental growth.
    • Late gestation fall in DA and partial rebound/stabilization of A could prepare for parturition-related metabolic and cardiovascular demands.
  • Age modulation:
    • Younger mares’ higher late-gestation NA implies a stronger sympathetic response near term, potentially reflecting heightened reactivity or different autonomic set-points.
    • Older mares’ more stable DA (and sustained A at T2) suggests attenuated variability, consistent with age-related adjustments in catecholamine synthesis, clearance, or receptor sensitivity.
    • Middle-aged mares (8–10 years) showing lowest NA may occupy a “damped” sympathetic profile compared with younger mares.
  • Network perspective:
    • The distinct timing of A, NA, and DA shifts indicates coordinated but non-identical regulation across pathways (adrenomedullary vs sympathetic neuronal vs dopaminergic).
    • Age appears to reweight this network, altering which catecholamine predominates at specific gestational windows.

Implications for equine management and breeding programs

  • Monitoring and handling:
    • Consider minimizing stressors especially in late gestation for younger mares, who show higher NA reactivity near term.
    • Plan routine procedures (transport, environment changes) outside windows of peak reactivity when feasible.
  • Nutritional and environmental support:
    • Stable routines and low-arousal environments may help modulate sympathetic activation in late gestation.
  • Breeding strategy:
    • Awareness of age-related neuroendocrine profiles may inform individualized peripartum monitoring without implying pathology.

Strengths

  • Clear age stratification across three clinically relevant cohorts.
  • Stage-specific sampling spanning early pregnancy through the last two months.
  • Use of a horse-validated 3-CAT competitive EIA tailored to the species.

Limitations and considerations

  • Breed specificity (Spanish Purebred) may limit generalizability to other breeds.
  • Abstract does not detail potential confounders (parity, body condition, time-of-day sampling, handling stress) that can influence catecholamine levels.
  • Immunoassay-based catecholamine measurements can be affected by pre-analytical factors (sample handling, hemolysis) and cross-reactivity; high-frequency sampling or LC-MS/MS could refine temporal dynamics.
  • Outcomes (maternal cardiovascular measures, fetal growth, foaling metrics) are not linked, so functional impact is inferred rather than demonstrated.

Future research directions

  • Integrative profiling:
    • Combine catecholamines with cortisol, heart rate variability, and uterine/fetal Doppler to map autonomic-endocrine coupling.
  • Mechanistic insights:
    • Assess enzymes (tyrosine hydroxylase, COMT, MAO) and receptor expression to parse age-related differences in synthesis and clearance.
  • Design enhancements:
    • Control for parity, circadian timing, and environmental stress; add repeated within-stage sampling to capture short-term variability.
  • Translational outcomes:
    • Relate catecholaminergic profiles to foaling outcomes, neonatal vigor, and postpartum recovery to determine practical predictive value.

Takeaway summary

  • Adrenaline: early decline (T1→T2), then stabilizes/slightly rises toward term; peak T1 in 8–10 yrs; relatively higher T2 in 11–15 yrs.
  • Noradrenaline: late-gestation rise in younger mares (4–7 yrs); consistently lowest in 8–10 yrs.
  • Dopamine: mid-gestation peak followed by prepartum decline; older mares show greater stability.
  • Conclusion: Pregnancy reshapes the catecholamine network in mares, and age further modulates these trajectories, indicating distinct autonomic strategies across the reproductive lifespan.

Cite This Article

APA
Satué K, Medica P, Fauci D, Gímenez ED, Fazio E. (2025). Evaluation of age effect on circulating catecholamines’ network in pregnant mares. Vet Res Commun, 49(5), 277. https://doi.org/10.1007/s11259-025-10853-2

Publication

ISSN: 1573-7446
NlmUniqueID: 8100520
Country: Switzerland
Language: English
Volume: 49
Issue: 5
Pages: 277

Researcher Affiliations

Satué, Katiuska
  • Department of Animal Medicine and Surgery, Faculty of Veterinary Medicine, Cardenal Herrera University, Valencia, Spain.
Medica, Pietro
  • Unit of Veterinary Physiology, Department of Veterinary Sciences, Messina University, Polo Universitario Annunziata, Messina, 98168, Italy.
Fauci, Deborah La
  • Unit of Veterinary Physiology, Department of Veterinary Sciences, Messina University, Polo Universitario Annunziata, Messina, 98168, Italy. deblafauci@unime.it.
Gímenez, Elena Damía
  • Department of Animal Medicine and Surgery, Faculty of Veterinary Medicine, Cardenal Herrera University, Valencia, Spain.
Fazio, Esterina
  • Unit of Veterinary Physiology, Department of Veterinary Sciences, Messina University, Polo Universitario Annunziata, Messina, 98168, Italy.

MeSH Terms

  • Animals
  • Female
  • Horses / blood
  • Horses / physiology
  • Pregnancy
  • Catecholamines / blood
  • Pregnancy, Animal / blood
  • Aging / blood
  • Aging / physiology
  • Age Factors
  • Norepinephrine / blood
  • Epinephrine / blood

Conflict of Interest Statement

Declarations. Ethics approval: All methods and procedures used in the present study followed the guidelines of Spanish law (RD 37/2014) that regulates the protection of animals used for scientific purposes. The Animal Ethics Committee for the Care and Use of Animals of the CEU-Cardenal Herrera University (Spain) concluded that the proposed study did not need ethical approval, since this experiment was part of the clinical evaluation of the animals at this stage of their cycle. Informed consent: Informed consent was obtained from the owners of all subjects involved in the study. Competing interests: The authors declare no competing interests. Conflict of interest: The authors declare no conflicts of interest.

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