Hair Allopregnanolone in Mares and Foals as a Retrospective Biomarker of Predicting Feto-Maternal Well-Being

Assay of steroid hormones in hair has become an attractive alternative for studies focusing on the perinatal period in equine medicine. The aim of the present study was to evaluate mares' and foals' hair ALLO concentrations and their ratio in relation to clinical conditions and selected clinical parameters. The 37 mare-foal pairs were categorized into healthy (group H; <i>n</i> = 15) and sick (group S; <i>n</i> = 22) groups. ALLO from hair was measured using a commercial ELISA kit. Foal ALLO and foal/mare ALLO ratio were lower in group S compared to group H (<i>p</i> < 0.001). Moderate positive correlations were found between both the foal ALLO and foal/mare ALLO ratio and the mare's gestation length (<i>p</i> = 0.003; r = 0.476 and <i>p</i> = 0.002; r = 0.487), between the foal ALLO and foal's weight (<i>p</i> = 0.042; r = 0.336), and between the foal/mare ALLO ratio and foal's Apgar score (<i>p</i> = 0.047; r = 0.410). Based on a logistic regression model, a strong relationship (R<sup>2</sup> = 0.75) emerged between ALLO concentrations and foals' clinical outcome, with concentrations of the hormone predicting foals' clinical outcome with high accuracy (86.8%). Decreased foal ALLO and foal/mare ALLO ratio in sick foals appear to be potential biomarkers of prenatal disease toward the end of pregnancy.

Authors

Institutions

Publication Details

Journal
Animals
Published
2025-03-07
DOI
https://doi.org/10.3390/ani15060768
Primary Topic
Veterinary Equine Medical Research
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Hair Allopregnanolone in Mares and Foals as a Retrospective Biomarker of Predicting Feto-Maternal Well-Being

Francesca Freccero, Carolina Castagnetti, Nicola Ellero, Alessio Cotticelli et al.
Animals
Veterinary Equine Medical Research
article

Hair Allopregnanolone in Mares and Foals as a Retrospective Biomarker of Predicting Feto-Maternal Well-Being

Francesca Freccero, Carolina Castagnetti, Nicola Ellero, Alessio Cotticelli, Jole Mariella, Aliai Lanci, Alberto Prandi, Tanja Peric, Robin van den Boom
article en

Abstract

Assay of steroid hormones in hair has become an attractive alternative for studies focusing on the perinatal period in equine medicine. The aim of the present study was to evaluate mares' and foals' hair ALLO concentrations and their ratio in relation to clinical conditions and selected clinical parameters. The 37 mare-foal pairs were categorized into healthy (group H; <i>n</i> = 15) and sick (group S; <i>n</i> = 22) groups. ALLO from hair was measured using a commercial ELISA kit. Foal ALLO and foal/mare ALLO ratio were lower in group S compared to group H (<i>p</i> < 0.001). Moderate positive correlations were found between both the foal ALLO and foal/mare ALLO ratio and the mare's gestation length (<i>p</i> = 0.003; r = 0.476 and <i>p</i> = 0.002; r = 0.487), between the foal ALLO and foal's weight (<i>p</i> = 0.042; r = 0.336), and between the foal/mare ALLO ratio and foal's Apgar score (<i>p</i> = 0.047; r = 0.410). Based on a logistic regression model, a strong relationship (R<sup>2</sup> = 0.75) emerged between ALLO concentrations and foals' clinical outcome, with concentrations of the hormone predicting foals' clinical outcome with high accuracy (86.8%). Decreased foal ALLO and foal/mare ALLO ratio in sick foals appear to be potential biomarkers of prenatal disease toward the end of pregnancy.

AnimalsVol. 15(6)
University of Udine (IT), Utrecht University (NL), Federico II University Hospital (IT), University of Bologna (IT)
Università di Bologna
Good health and well-being
Openalex Percentile: Top 95%
Veterinary Equine Medical Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.