Clinical Aspects Related to Plasma Serotonin in the Horse

Ambrojo, Katiuska Satué; Poggi, Juan Carlos Gardón; Corzano, María Marcilla

doi:10.5772/intechopen.77956

Cited by 3 publications

(2 citation statements)

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“…It should be noted that even in healthy horses, reported reference values for 5-HT are not consistent (Satué, Gardon, & Marcilla, 2018). One possible explanation for this inconsistency is the use of different biological samples and analytical methods for 5-HT determination, as high-pressure liquid chromatography (HPLC) and radioimmunoassays (RIA) (Ayala et al, 2012) since that in our study ELISA was the technique used.…”

Section: Discussionmentioning

confidence: 73%

Intrafollicular and systemic serotonin, oestradiol and progesterone concentrations in cycling mares

Satué

Fazio

Ferlazzo

et al. 2019

Reprod Domestic Animals

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The hypothesis that a local serotonergic network might also exist in the follicle of mares remains poorly documented, with exception for humans and laboratory species. For this reason, the aim of the present study was to clarify this possibility, investigating intrafollicular serotonin concentrations of the cycling mare at ovulation time. Sixty ovaries collected from 30 clinically healthy mares of slaughterhouse meat production with clinically normal reproductive tracts after slaughtering were evaluated. Blood samples were taken prior to sacrifice. Follicles were classified in three categories in relation to size, as small (20–30 mm), medium (31–40 mm) and large (>41 mm), and the follicular fluid samples were extracted from each follicle. Intrafollicular and systemic serotonin (5‐HT), oestradiol‐17β (E2) and progesterone (P4) were determined by means of enzyme‐linked immunosorbent assay and RIA, respectively. Intrafollicular 5‐HT, E2 and P4 concentrations were higher than systemic ones (p < .05). 5‐HT concentrations increased in larger compared to medium follicles, without differences compared to small size follicles (p < .05). 5‐HT and E2 (r = .79) and 5‐HT and P4 (r = .79; p < .05) were positively correlated. 5‐HT and P4 concentrations in follicular fluid increased progressively with the increase in follicular size (p < .05). Follicle diameter and E2 (r = .85) and P4 (r = .68) were correlated (p < .05). Since serotonin interacts with steroids, its role on steroidogenesis during growth of the dominant follicle may be suggested.

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Section: Discussionmentioning

confidence: 73%

Intrafollicular and systemic serotonin, oestradiol and progesterone concentrations in cycling mares

Satué

Fazio

Ferlazzo

et al. 2019

Reprod Domestic Animals

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“…In mammals, there have been numerous studies relating plasma serotonin levels to stress and other disorders. However, as shown in the extensive review of their relation to various pathological states in horses (54), the picture in relation to stress is confusing. Nevertheless, a study of plasma serotonin levels in dairy cows showed the values to be elevated by the stress of negative energy balance (55).…”

Section: Introductionmentioning

confidence: 99%

An Appraisal of Methods for Measuring Welfare of Grazing Ruminants

Barrell

2019

Front. Vet. Sci.

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Although disturbances in body function of animals can be measured to determine whether a state of stress may exist, there is growing interest in finding ways to assess their emotional status as an indicator of good or bad welfare status. Generally it is easier to determine poor states of well-being than positive ones. For grazing ruminants some indicators of well-being include absence of illness, good growth and productivity, and longevity. Motion detectors can provide automated remote monitoring of behavior and it is likely that there will be advances in the interpretation software to increase the utility of this technology for assessing well-being. Cortisol levels in body fluids, feces and pelage are prominent as a marker of poor animal welfare, but like many of the other objective measures that are used, are not wholly reliable at the individual animal level. These other measures include: plasma serotonin, heart rate variation, infra-red thermography, cytokines, salivary alpha amylase, and acute phase proteins. Use of automated facial expression recognition may supplement electrophysiological recording as means to quantify the pain experience of animals. Although the measures described in the literature do not necessarily provide the final answer for determination of welfare in grazing ruminants, they all have some merit and deserve further investigation.

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