2016
DOI: 10.4103/1008-682x.186873
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Spermiogram and sperm head morphometry assessed by multivariate cluster analysis results during adolescence (12-18 years) and the effect of varicocele

Abstract: This work evaluates sperm head morphometric characteristics in adolescents from 12 to 18 years of age, and the effect of varicocele. Volunteers between 150 and 224 months of age (mean 191, n = 87), who had reached oigarche by 12 years old, were recruited in the area of Barranquilla, Colombia. Morphometric analysis of sperm heads was performed with principal component (PC) and discriminant analysis. Combining seminal fluid and sperm parameters provided five PCs: two related to sperm morphometry, one to sperm mo… Show more

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Cited by 25 publications
(22 citation statements)
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References 26 publications
(25 reference statements)
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“…By integrating the original variables according to their coherence in a database into a new complex mathematical variable, clearly defined homogeneous subpopulations of spermatozoa can be defined. In support of the theory above, the papers presented here showed that most of the variance from up to 13 morphometric variables could be explained by only two or three PCs: two in bulls,16 adolescent humans,8 adult human sperm head DNA,9 domestic cats,10 puma,11 roosters, and guinea fowls12 and three PCs in adult human split ejaculate samples 7…”
Section: The Significance Of the Morphometric Analysis Of Sperm Cellssupporting
confidence: 81%
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“…By integrating the original variables according to their coherence in a database into a new complex mathematical variable, clearly defined homogeneous subpopulations of spermatozoa can be defined. In support of the theory above, the papers presented here showed that most of the variance from up to 13 morphometric variables could be explained by only two or three PCs: two in bulls,16 adolescent humans,8 adult human sperm head DNA,9 domestic cats,10 puma,11 roosters, and guinea fowls12 and three PCs in adult human split ejaculate samples 7…”
Section: The Significance Of the Morphometric Analysis Of Sperm Cellssupporting
confidence: 81%
“…Here, the number of subpopulations ranged from two to five: two (for the X-/Y-bearing bovine sperm heads,15 for large+elongated/small+elongated sperm heads in human adolescents8), three (for large+round/elongated/small spermatozoa in human sperm heads in split ejaculate fractions,7 for elongated+intermediate/large+high acrosome/short+small sperm heads in the puma,11 for small, wide and slightly elliptical/average size, long, narrow and very elliptical/very large, wide and elliptical sperm heads in the rooster12), four (for large/high medium/low medium/small in human sperm head DNA,9 for small/short/large/narrow sperm heads in the bull,14 for shape-related sperm heads in both normo- and terato-zoospermic cats10) to five (for very small, wide, very short and slightly elliptical/small, very short, very wide and slightly elliptical/very large, very wide, short and slightly elliptical/average size, very long, very narrow and very elliptical/average size, long, narrow and elliptical sperm heads in the guinea fowl12). …”
Section: The Significance Of the Morphometric Analysis Of Sperm Cellsmentioning
confidence: 99%
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“…There has been a wide application for such subpopulation evaluations in domestic animals, including prediction of ejaculate fertility (for a review, see Yániz et al 2015), post-thaw semen quality (Thurston et al 2001;Peña et al 2005) and correlation with sperm chromatin integrity (Núñez-Martinez et al 2007). Even though it is well known that human spermatozoa are heteromorphous in nature, surprisingly little information is available on morphometry subpopulations in men (Santolaria et al 2016;Vásquez et al 2016). This is probably due to the fact that andrologists primarily focus on percentage normal sperm morphology and the most prevalent sperm abnormalities when evaluating human semen.…”
Section: Morphometry Subpopulationsmentioning
confidence: 99%
“…Since then, multivariate analysis has been introduced for the simultaneous consideration of all the parameters, including their relationships 24. During recent decades, new efforts have been made to define the best analytical approaches by using subpopulation analysis25 and morphological sperm subpopulation structure, based on morphometric data, which has been observed in a great variety of species: dogs,2627 boars,2829 bulls,3031 foxes,32 humans,3334 llamas,15 marmosets,35 pumas,36 rabbits,37 rams,383940 red deer,41 and stallions 42…”
Section: Introductionmentioning
confidence: 99%