1
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Transgenerational transmission of reproductive and metabolic dysfunction in the male progeny of polycystic ovary syndrome

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Summary

          The transgenerational maternal effects of polycystic ovary syndrome (PCOS) in female progeny are being revealed. As there is evidence that a male equivalent of PCOS may exists, we ask whether sons born to mothers with PCOS (PCOS-sons) transmit reproductive and metabolic phenotypes to their male progeny. Here, in a register-based cohort and a clinical case-control study, we find that PCOS-sons are more often obese and dyslipidemic. Our prenatal androgenized PCOS-like mouse model with or without diet-induced obesity confirmed that reproductive and metabolic dysfunctions in first-generation (F 1) male offspring are passed down to F 3. Sequencing of F 1–F 3 sperm reveals distinct differentially expressed (DE) small non-coding RNAs (sncRNAs) across generations in each lineage. Notably, common targets between transgenerational DEsncRNAs in mouse sperm and in PCOS-sons serum indicate similar effects of maternal hyperandrogenism, strengthening the translational relevance and highlighting a previously underappreciated risk of transmission of reproductive and metabolic dysfunction via the male germline.

          Graphical abstract

          Highlights

          • PCOS-sons are often obese and have dyslipidemia

          • miRNAs altered in the serum of PCOS-sons and women with PCOS targets PCOS-risk genes

          • Small RNAs present in sperm imply transgenerational transmission of phenotype in mice

          • Shared miRNAs between mouse sperm of F 1–F 3 generations and human serum are revealed

          Abstract

          Risal et al. found that the sons of women affected by polycystic ovary syndrome (PCOS) are frequently obese and dyslipidemic. Male descendants of obese or androgen-exposed mothers also exhibit reproductive and metabolic problems across generations, mediated by sperm small RNAs dysregulation. Common predicted small RNA targets are suggested in PCOS-affected mice and PCOS-sons’ serum.

          Related collections

          Most cited references97

          • Record: found
          • Abstract: found
          • Article: found
          Is Open Access

          edgeR: a Bioconductor package for differential expression analysis of digital gene expression data

          Summary: It is expected that emerging digital gene expression (DGE) technologies will overtake microarray technologies in the near future for many functional genomics applications. One of the fundamental data analysis tasks, especially for gene expression studies, involves determining whether there is evidence that counts for a transcript or exon are significantly different across experimental conditions. edgeR is a Bioconductor software package for examining differential expression of replicated count data. An overdispersed Poisson model is used to account for both biological and technical variability. Empirical Bayes methods are used to moderate the degree of overdispersion across transcripts, improving the reliability of inference. The methodology can be used even with the most minimal levels of replication, provided at least one phenotype or experimental condition is replicated. The software may have other applications beyond sequencing data, such as proteome peptide count data. Availability: The package is freely available under the LGPL licence from the Bioconductor web site (http://bioconductor.org). Contact: mrobinson@wehi.edu.au
            Bookmark
            • Record: found
            • Abstract: not found
            • Article: not found

            Cutadapt removes adapter sequences from high-throughput sequencing reads

              Bookmark
              • Record: found
              • Abstract: found
              • Article: found
              Is Open Access

              Metascape provides a biologist-oriented resource for the analysis of systems-level datasets

              A critical component in the interpretation of systems-level studies is the inference of enriched biological pathways and protein complexes contained within OMICs datasets. Successful analysis requires the integration of a broad set of current biological databases and the application of a robust analytical pipeline to produce readily interpretable results. Metascape is a web-based portal designed to provide a comprehensive gene list annotation and analysis resource for experimental biologists. In terms of design features, Metascape combines functional enrichment, interactome analysis, gene annotation, and membership search to leverage over 40 independent knowledgebases within one integrated portal. Additionally, it facilitates comparative analyses of datasets across multiple independent and orthogonal experiments. Metascape provides a significantly simplified user experience through a one-click Express Analysis interface to generate interpretable outputs. Taken together, Metascape is an effective and efficient tool for experimental biologists to comprehensively analyze and interpret OMICs-based studies in the big data era.
                Bookmark

                Author and article information

                Contributors
                Journal
                Cell Rep Med
                Cell Rep Med
                Cell Reports Medicine
                Elsevier
                2666-3791
                05 May 2023
                16 May 2023
                05 May 2023
                : 4
                : 5
                : 101035
                Affiliations
                [1 ]Department of Physiology and Pharmacology, Karolinska Institutet, Stockholm, Sweden
                [2 ]Center of Reproductive Medicine, Department of Obstetrics and Gynecology, Peking University Third Hospital, Beijing 100191, China
                [3 ]Department of Microbiology, Tumor and Cell Biology, Karolinska Institutet, Stockholm, Sweden
                [4 ]Centre for Bone and Arthritis Research, Department of Internal Medicine and Clinical Nutrition, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
                [5 ]Department of Drug Treatment, Region Västra Götaland, Sahlgrenska University Hospital, Gothenburg, Sweden
                [6 ]Endocrinology and Metabolism Laboratory, West Division, School of Medicine, University of Chile, Carlos Schachtebeck 299, Interior Quinta Normal, Santiago, Chile
                [7 ]Endocrinology Unit, Department of Medicine, Clínica Alemana de Santiago, Faculty of Medicine, Clinica Alemana, Universidad del Desarrollo, Santiago, Chile
                [8 ]Laboratory of Animal Physiology and Endocrinology, Faculty of Veterinary Sciences, University of Concepción, Chillán, Chile
                [9 ]Department of Physiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
                [10 ]School of Health Sciences, University of Skövde, Skövde, Sweden
                [11 ]Global Health Institute, Antwerp University, Antwerp, Belgium
                [12 ]Center for Molecular Medicine, Karolinska University Hospital, Stockholm, Sweden
                Author notes
                []Corresponding author qiaolin.deng@ 123456ki.se
                [∗∗ ]Corresponding author elisabet.stener-victorin@ 123456ki.se
                [13]

                These authors contributed equally

                [14]

                Lead contact

                Article
                S2666-3791(23)00149-0 101035
                10.1016/j.xcrm.2023.101035
                10213875
                37148878
                db146b20-7d89-4992-a267-65e79f86c9d2
                © 2023 The Author(s)

                This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).

                History
                : 3 June 2022
                : 27 November 2022
                : 11 April 2023
                Categories
                Article

                transgenerational transmission,male offspring,small non-coding rnas,sperm,polycystic ovary syndrome,maternal obesity,maternal hyperandrogenism,adipose tissue,male offspring to male germline

                Comments

                Comment on this article