Literature DB >> 31382319

Relationship between DYNLT1 and Beclin1 expression and the fertilising potential of human spermatozoa.

Dina Elzeiny1, Rehan Monir1,2, Karema El Sabakhawy1, Mohamed K Selim3, Adel Zalata1.   

Abstract

This study aimed to evaluate dynein light chain type 1 (DYNLT1) mRNA expression in mature spermatozoa and to investigate its association with Beclin1 expression to help in understanding of pathogenesis of male infertility. It included 60 infertile men divided into idiopathic (n = 20), accessory gland inflammation (n = 20), and varicocele (n = 20) groups, and 20 healthy fertile men as a control group. Semen parameters were evaluated according to the 2010 World Health Organization criteria. Mature spermatozoa were isolated by Sil-select gradient. Relative quantification of DYNLT1 and Beclin1 mRNA expression in whole sperm pellet and mature spermatozoa was done using real-time PCR. Beclin1 protein was assessed in whole sperm pellet and mature spermatozoa by ELISA. Beclin1 mRNA and protein were significantly increased in spermatozoa from infertile patients of different aetiologies in comparison to healthy controls (p < .05). However, DYNLT1 mRNA expression was significantly decreased in infertile groups than controls (p < .05). Mature spermatozoa extracted from all studied subjects showed increased DYNLT1 mRNA and decreased Beclin1 mRNA and protein expression compared with the whole sample. It is concluded that decreased Beclin1 and increased DYNLT1 mRNA expression in mature spermatozoa may provide an insight into the biological processes that are activated or suppressed during sperm maturation.
© 2019 Blackwell Verlag GmbH.

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Keywords:  zzm321990Beclin1zzm321990; zzm321990DYNLT1zzm321990; autophagy; male infertility; mature spermatozoa

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Year:  2019        PMID: 31382319     DOI: 10.1111/and.13380

Source DB:  PubMed          Journal:  Andrologia        ISSN: 0303-4569            Impact factor:   2.775


  1 in total

1.  Candidate genes for infertility: an in-silico study based on cytogenetic analysis.

Authors:  Jatinder Singh Sahota; Bhavna Sharma; Kamlesh Guleria; Vasudha Sambyal
Journal:  BMC Med Genomics       Date:  2022-08-02       Impact factor: 3.622

  1 in total

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