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Array-based DNA methylation profiling reveals peripheral blood differential methylation in male infertility.
Sarkar, Saumya; Sujit, Kumar Mohanty; Singh, Vertika; Pandey, Rajesh; Trivedi, Sameer; Singh, Kiran; Gupta, Gopal; Rajender, Singh.
Afiliação
  • Sarkar S; Division of Endocrinology, Central Drug Research Institute, Lucknow, India.
  • Sujit KM; Division of Endocrinology, Central Drug Research Institute, Lucknow, India.
  • Singh V; Department of Molecular and Human Genetics, Banaras Hindu University, Varanasi, India.
  • Pandey R; CSIR-Institute of Genomics and Integrative Biology, New Delhi, India; Mammalian Genetics Unit, MRC Harwell Institute, Harwell Science and Innovation Campus, Oxfordshire, United Kingdom.
  • Trivedi S; Department of Urology, Institute of Medical Sciences, Banaras Hindu University, Varanasi, India.
  • Singh K; Department of Molecular and Human Genetics, Banaras Hindu University, Varanasi, India.
  • Gupta G; Division of Endocrinology, Central Drug Research Institute, Lucknow, India.
  • Rajender S; Division of Endocrinology, Central Drug Research Institute, Lucknow, India. Electronic address: rajender_singh@cdri.res.in.
Fertil Steril ; 112(1): 61-72.e1, 2019 07.
Article em En | MEDLINE | ID: mdl-31103287
ABSTRACT

OBJECTIVE:

To study peripheral blood DNA differential methylation in oligozoospermic infertile men in comparison with normozoospermic fertile controls.

DESIGN:

Case-control study.

SETTING:

Reproductive biology laboratory. PATIENTS(S) Azoospermic and oligozoospermic infertile patients (n = 6) and normozoospermic fertile controls (n = 6) in the discovery phase, and oligo/asthenozoospermic infertile men (n = 11) and normozoospermic fertile controls (n = 10) in the validation phase. INTERVENTION(S) Blood samples drawn from all participants, DNA isolation and methylation analysis. MAIN OUTCOME MEASURE(S) DNA methylation values analyzed using genomewide methylation 450K BeadChip array, followed by deep sequencing of selected regions for methylation analysis in the neighborhood regions of differentially methylated CpGs. RESULT(S) We found 329 differentially methylated CpG spots, out of which 245 referred to the genes, representing 170 genes. Deep-sequencing analysis confirmed the methylation pattern suggested by 450K array. A thorough literature search suggested that 38 genes play roles in spermatogenesis (PDHA2, PARP12, FHIT, RPTOR, GSTM1, GSTM5, MAGI2, BCAN, DDB2, KDM4C, AGPAT3, CAMTA1, CCR6, CUX1, DNAH17, ELMO1, FNDC3B, GNRHR, HDAC4, IRS2, LIF, SMAD3, SOD3, TALDO1, TRIM27, GAA, PAX8, RNF39, HLA-C, HLA-DRB6), are testis enriched (NFATC1, NMNAT3, PIAS2, SRPK2, WDR36, WWP2), or show methylation differences between infertile cases and controls (PTPRN2, RPH3AL). CONCLUSION(S) We found a statistically significant correlation between peripheral blood DNA methylation and male infertility, raising the hope that epigenome-based blood markers can be used for screening male infertility risk. The study also identified new candidates for spermatogenesis and fertility.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Oligospermia / Metilação de DNA / Análise de Sequência com Séries de Oligonucleotídeos / Perfilação da Expressão Gênica / Azoospermia / Fertilidade Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans / Male Idioma: En Revista: Fertil Steril Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Índia

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Oligospermia / Metilação de DNA / Análise de Sequência com Séries de Oligonucleotídeos / Perfilação da Expressão Gênica / Azoospermia / Fertilidade Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans / Male Idioma: En Revista: Fertil Steril Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Índia