Literature DB >> 25193631

Histomorphometric parameters and fractal complexity of the equine placenta from healthy and sick foals.

Carlo Bianco1, Alessandro Pirrone2, Sara Boldini1, Giuseppe Sarli1, Carolina Castagnetti1.   

Abstract

Computer-based digital image analysis of tissue samples shows promise both to reduce the subjectivity of traditional manual tissue assessments and potentially to shorten the time required to analyze each sample. The present study used digital image analysis to investigate the histomorphometric parameters and fractal complexity of the equine placenta from healthy and sick foals. We hypothesized that the placentas of sick foals could have a different growth pattern and complexity that could be objectively estimated by their fractal dimension (FD). Fourteen placentas from 30 mares were selected in the 2013 breeding season and divided into two groups: seven mares with normal pregnancy, eutocic delivery, and healthy foals (group 1) and seven mares with normal or high-risk pregnancy, eutocic delivery and sick foals (group 2). Four mares in group 2 were classified as having a high-risk pregnancy on the basis of anamnesis and/or ultrasound findings. Clinical diagnosis of group 2 foals included perinatal asphyxia syndrome (n = 4), prematurity/dysmaturity (n = 2), and both diagnoses (n = 1). Seven out of fourteen placentas showed diffuse gross abnormalities. Grossly abnormal placentas were observed in one out of seven (14.28%) animals in group 1 and in six out of seven (85.72%) animals in group 2. Digital image analysis proved to be reliable and efficient in segmentation, calculation, outline extraction of villi as also resulted in sampled test images. The placentas of group 1 foals displayed a uniform and homogeneous villi development, as revealed by geometric parameters and FD. These results can be interpreted as a harmonic growth pattern of microcotyledons throughout the placenta in healthy foals. By contrast, the placentas of group 2 foals showed a nonuniform growth pattern and complexity with more villi and more developed villi in pregnant horn (PH) and nonpregnant horn (NPH) compared with body (B) and higher FD in NPH than in the other areas. This finding can be interpreted as a compensatory growth with increased complexity. Our results show that morphometric analysis, particularly FD measurement, can be proposed as an ancillary histological tool for equine placenta evaluation. Chorionic villi tend to have greater branching and complexity in sick than in healthy foals, particularly in the NPH. This could represent an attempt to increase the exchange area between fetal and maternal compartments of the equine placenta, and merits further investigation.
Copyright © 2014 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Foal; Fractal dimension; Mare; Placenta

Mesh:

Year:  2014        PMID: 25193631     DOI: 10.1016/j.theriogenology.2014.07.036

Source DB:  PubMed          Journal:  Theriogenology        ISSN: 0093-691X            Impact factor:   2.740


  3 in total

1.  Study on NGF and VEGF during the Equine Perinatal Period-Part 1: Healthy Foals Born from Normal Pregnancy and Parturition.

Authors:  Nicola Ellero; Aliai Lanci; Vito Antonio Baldassarro; Giuseppe Alastra; Jole Mariella; Maura Cescatti; Luciana Giardino; Carolina Castagnetti
Journal:  Vet Sci       Date:  2022-08-23

2.  Canine Placenta Histological Findings and Microvascular Density: The Histological Basis of a Negative Neonatal Outcome?

Authors:  Giuseppe Sarli; Carolina Castagnetti; Carlo Bianco; Giulia Ballotta; Giorgia Tura; Martina Caporaletti; Marco Cunto; Giancarlo Avallone; Cinzia Benazzi; Fabio Ostanello; Daniele Zambelli
Journal:  Animals (Basel)       Date:  2021-05-15       Impact factor: 2.752

3.  Collagen and Microvascularization in Placentas From Young and Older Mares.

Authors:  Ana Catarina Neto da Silva; Ana Luísa Costa; Ana Teixeira; Joana Alpoim-Moreira; Carina Fernandes; Maria João Fradinho; Maria Rosa Rebordão; Elisabete Silva; José Ferreira da Silva; Miguel Bliebernicht; Graça Alexandre-Pires; Graça Ferreira-Dias
Journal:  Front Vet Sci       Date:  2022-01-04
  3 in total

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