| Literature DB >> 33324496 |
Sara C Pereira1, Luís Crisóstomo1, Mário Sousa1, Pedro F Oliveira2, Marco G Alves1.
Abstract
The most prevalent diseases worldwide are non-communicable such as obesity and type 2 diabetes. Noteworthy, the prevalence of obesity and type 2 diabetes is expected to steadily increase in the next decades, mostly fueled by bad feeding habits, stress, and sedentarism. The reproductive function of individuals is severely affected by abnormal metabolic environments, both at mechanical and biochemical levels. Along with mechanical dysfunctions, and decreased sperm quality (promoted both directly and indirectly by metabolic abnormalities), several studies have already reported the potentially harmful effects of metabolic disorders in the genetic and epigenetic cargo of spermatozoa, and the epigenetic inheritance of molecular signatures induced by metabolic profile (paternal diet, obesity, and diabetes). The inheritance of epigenetic factors towards the development of metabolic abnormalities means that more people in reproductive age can potentially suffer from these disorders and for longer periods. In its turn, these individuals can also transmit this (epi)genetic information to future generations, creating a vicious cycle. In this review, we collect the reported harmful effects related to acquired metabolic disorders and diet in sperm parameters and male reproductive potential. Besides, we will discuss the novel findings regarding paternal epigenetic inheritance, particularly the ones induced by paternal diet rich in fats, obesity, and type 2 diabetes. We analyze the data attained with in vitro and animal models as well as in long-term transgenerational population studies. Although the findings on this topic are very recent, epigenetic inheritance of metabolic disease has a huge societal impact, which may be crucial to tackle the 'fat epidemic' efficiently.Entities:
Keywords: diabetes; epigenetic inheritance; metabolic profile; obesity; spermatozoa
Year: 2020 PMID: 33324496 PMCID: PMC7722800 DOI: 10.1093/eep/dvaa019
Source DB: PubMed Journal: Environ Epigenet ISSN: 2058-5888
Figure 1:present figure for global diabetes prevalence in adults, per gender and age group. Results are expressed in percentage of the total age subjects in the age group/gender group
summary of studies investigating the effects of obesity on classic sperm parameters
| Author(s), year | Concentration | Motility | Normal morphology | Population |
|---|---|---|---|---|
| Jensen | ↓ | No correlation | ↓ | 1558 young men (average: 19 years) |
| Pauli | No correlation | No correlation | No correlation | 87 adult men |
| Chavarro | No correlation | No correlation | No correlation | 483 men from subfertile couples |
| Hofny | ↓ | ↓ | ↓ | 42 fertile obese men and 80 infertile obese men |
| Martini | No correlation | ↓ | No correlation | 794 adult men |
| Paasch | ↓ | No correlation | ↓ | 2157 men (17–67 years) |
| Sekhavat and Moein (2010) ( | ↓ | ↓ | No correlation | 852 men (25–50 years) |
| Wegner | No correlation | No correlation | No correlation | 107 men attending an infertility clinic |
| Rybar | No correlation | No correlation | No correlation | 153 men attending an infertility clinic |
| Shayeb | No correlation | No correlation | ↓ | 2035 men from subfertile couples |
| Hammiche | ↓ | ↓ | n/a | 450 men from subfertile couples |
| Anifandis | No correlation | ↓ | n/a | 301 men from subfertile couples |
| MacDonald | No correlation | No correlation | ↑ | 511 men attending an infertility clinic |
| Belloc | ↓ | ↓ | No correlation | 10 665 men consulting for a semen analysis |
| Al-Ali | No correlation | No correlation | No correlation | 2110 men attending an andrology unit |
| Thomsen | No correlation | No correlation | n/a | 612 men from infertile couples undergoing ART |
| Luque | ↓ | ↓ | ↓ | 4860 adult men (18–65 years) |
| Tang | No correlation | ↓ | No correlation | 617 male infertility patients |
| Tsao | ↓ | No correlation | ↓ | 7630 adult men |
| Calderón | ↓ | ↓ | No correlation | 30 obese men and 10 lean men |
| Oliveira | ↓ | ↓ | ↓ | 1824 men from subfertile couples |
Sperm quality worsening is represented by (↓), and sperm quality improvement is represented by (↑). Not addressed parameters are represented by (n/a).
Figure 2:the excessive white fat deposition, a typical feature of obesity, is a threat to male reproductive function by several mechanisms. Obese men are commonly associated with an increased risk of developing erectile dysfunction and penile vascular impairment. Moreover, fat deposition on the scrotal area, a condition called scrotal lipomatosis, promotes the rise of scrotal temperature, inducing germinal atrophy and spermatogenic arrest. Testosterone aromatization into estradiol by adipocytes can induce hypogonadism (a condition characterized by low levels of androgens). The excessive lipid accumulation leads to adipocytes rupture, trigging a pro-inflammatory state. Due to its location, LCs are exposed to the ROS and inflammatory cytokines produced by the macrophages. Consequently, the steroidogenesis machinery is compromised, and the production of testosterone drops, further promoting hypogonadism. In response to the abnormal metabolic situation, SC metabolism is remodeled, decreasing both the production of lactate and acetate. Meanwhile, the mitochondrial membrane potential is also affected, threatening the ‘nursing’ of developing germ cells by SCs. E2, estradiol; ROS, reactive oxygen species; T, testosterone
Figure 3:epigenetic signatures carried by sperm that are affected by metabolic profile. Even after completing spermatogenesis, sperm epigenetic signatures are modulated through its transit in the male reproductive tract. For instance, the maturation process at the epididymides and the seminal fluid resulting from seminal and prostate secretions modulate the overall epigenetic cargo of spermatozoa. Obesity and T2D interfere with the relative abundance of different epigenetic factors, which are later expressed in phenotypic alterations such as lower sperm concentration, lower motility, and increased prevalence of abnormal spermatozoa. AV, acrosomal vesicle; F, flagellum; Mi, mitochondria; N, nucleus
mammalian studies on paternal transgenerational inheritance of phenotypes associated with altered metabolic profiles (diet, metabolic disease, exercise)
| Author(s), year | Metabolic trigger | Species, generations | Effects on offspring | Proposed mechanism |
|---|---|---|---|---|
| Carone | Paternal low-protein diet (F0) |
| Increased expression of genes related to lipid and cholesterol biosynthesis in liver, reduced cholesterol esters | Hypermethylation of |
| Ng | Paternal fat-rich diet (F0) |
| Pancreatic β-cell dysfunction | Inhibition of gene expression in pancreatic islet cells, hypomethylation of |
| Guth | Parental physical activity (F0) |
| Changes in expression of metabolism-related genes. F1 females: lower body height, decreased omental fat. F2 females: increased glycemia | Germline inheritance of gene expression patterns |
| Wei | Paternal prediabetes (F0) |
| Glucose intolerance and insulin resistance | Changes to sperm methylation pattern |
| Grandjean | Western-like diet (F0), RNA injection (F1) |
| Glucose intolerance and insulin resistance | Cytoplasmatic injection of sperm-borne miR19b into zygotes |
| Chen | Paternal fat-rich diet (F0) |
| Impaired glucose tolerance and insulin resistance. Changes in gene expression of metabolic pathways in embryos and pancreatic islets | tsRNA delivery by epididymosomes to spermatozoa |
| Cropley | Paternal obesity and prediabetes (F0) |
| Impaired glucose and lipid metabolism. (F1: after dietary challenge; F2: without dietary challenge) | Changes to sperm content in sncRNA, notably tsRNA |
| de Castro Barbosa | Paternal fat-rich diet (F0) |
| F1: reduced body weight and pancreatic β-cell mass. F1 and F2 females: glucose intolerance and resistant to weight gain by fat-rich diet | Alterations in methylation pattern of spermatozoa and in the expression of let-7c miRNA |
| Murashov | Paternal physical activity (F0) |
| Greater susceptibility for negative effects of fat-rich diets | Changes in methylation profile and microRNA content of spermatozoa |
| Sharma | Paternal low-protein diet (F0) |
| Overexpression of squalene epoxidase gene (cholesterol biosynthesis) in liver. | tRNA fragments delivery by epididymosomes to spermatozoa, decreased miRNA let-7c expression |