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Abstract

Genome-wide-association studies (GWASs), epigenetic, gene-expression and gene–gene interaction projects, nutritional genomics and investigations of the gut microbiota have increased our knowledge of the pathophysiology of eating disorders (EDs). However, compared with anorexia nervosa, genetic studies in patients with bulimia nervosa and binge-eating disorder are relatively scarce, with the exception of a few formal genetic and small-sized candidate–gene-association studies. In this article, we review important findings derived from formal and molecular genetics in order to outline a genetics-based pathophysiological model of EDs. This model takes into account environmental and nutritional factors, genetic factors related to the microbiome, the metabolic and endocrine system, the immune system, and the brain, in addition to phenotypical traits of EDs. Shortcomings and advantages of genetic research in EDs are discussed against the historical background, but also in light of potential future treatment options for patients with EDs.

Keywords

anorexia nervosa binge-eating disorder bulimia nervosa genetics GWAS microbiome

Introduction

Historical reflection on psychiatric genetics

Ancestry plays a decisive role in early historic attempts to create a sense of purpose and identity. This approach is found in several religions, including prehistoric cults, Buddhism, Islam, Judaism and Christianity.¹ In the book of Genesis, for example, which was reportedly written in the 5th and 4th centuries BC, the descendants of Abraham are recorded.² One way to interpret such genealogies may be to value them as early evidence of the idea that ancestry comes with the inheritance of traits, characteristics and competences that indicate individuals for certain assignments.

However, the first significant step towards scientific genetics was made by Gregor Johann Mendel (1822–1884), who gained posthumous recognition as the founder of formal genetics for conducting and publishing the results of his ‘experiments in plant hybridization’, from which he demonstrated dominant and recessive inheritance.³ In psychiatry, formal genetics became an important research focus in the early 20th century^4,5 leading to compulsory sterilization of the mentally ill to prevent the occurrence of mental disorders.⁶ In this context, it is important to mention Ernst Rüdin (1874–1952), a member of the German Nazi Party, who has been credited as the originator of modern psychiatric genetics.⁷ He promoted the prevention of assumed hereditary mental illnesses by the prohibition of marriage or sterilization,⁸ despite his knowledge that major mental disorders, including affective disorders, do not follow a simple pattern of Mendelian inheritance.⁹

The next major step in scientific genetics following the discovery of statistical patterns of inheritance was to elucidate the molecular basis of heredity. Deoxyribonucleic acid (DNA), the molecule that carries genetic information, was first isolated in 1869 by the Swiss physician Friedrich Miescher (1844–1895) and termed ‘nuclein’.¹⁰ In 1953, Watson and Crick suggested the double-helix structure of this molecule.¹¹ Further work by Crick and coworkers showed that the genetic code was based on nonoverlapping triplets of bases, allowing Khorana and colleagues to decipher this genetic code.¹² These developments laid the foundations for genetic association studies, which have been used to identify candidate genes or genome regions that were hypothesized as contributing to a specific disease.¹³ In the 1980s, early molecular genetic studies in psychiatry focused on candidate genes that were considered to be involved in neurotransmitter metabolism, neurotransmitter receptors and neuropeptides.¹⁴ However, the candidate–gene approach is currently regarded as obsolete and problematic in the field of psychiatry due to its insufficient statistical power and difficulties with replication.

Around the turn of the millennium, researchers began to investigate the entire genome in a noncandidate-driven approach by performing genome-wide association studies (GWASs). The first successful GWAS was published by Klein and colleagues in 2005 on age-related macular degeneration.¹⁵ Since then, ~4000 human GWASs have examined ~2000 diseases and traits, and thousands of single-nucleotide polymorphism (SNP) associations have been identified.¹⁶ As GWASs require a large number of study participants, study centres need to forge consortia in order to achieve those numbers. As a result, the Psychiatric Genomics Consortium (PGC) has become the largest consortium in the history of psychiatry. The PGC is dedicated to elucidating the fundamental biology of psychiatric disorders, informing clinical practice, and delivering novel therapeutic targets on the basis of genomic research¹⁶ with GWASs currently being the gold standard and the workhorse of psychiatric genetics.

In 1986, Hegstrand and Hine published a groundbreaking study wherein they demonstrated significant differences in hypothalamic histamine levels between germ-free and conventionally raised animals.¹⁷ Thus, they proved that microbes influence brain chemistry¹⁸ and specifically, histaminergic neurotransmission, which is particularly important for appetite and weight regulation.^17,19 From the 1980s until now, multiple important synergistic activities between humans and the microbes living in and on them have been identified;^20–23 as a result, following completion of the human genome sequence, researchers felt that the achievement was incomplete, as it neglected the genetic material of the microbiota. Therefore, they called for the Human Microbiome Project as a ‘second human genome project’ that ‘would entail a comprehensive inventory of microbial genes and genomes at the four major sites of microbial colonization in the human body: mouth, gut, vagina, and skin’.²¹ As there is substantial evidence on the significance of the ecological community of microorganisms that share our body space,^20–23 this review on genetic risk factors for eating disorders (EDs) will also take into account the microbiome, which comprises the genetic material within our microbiota.

The latest genetic research in the field of EDs does not stop at examining the triplets of bases of DNA sequences in human cells and other organisms within the human body and contributing to its function, it also takes considers gene function, gene expression, gene–gene interaction and the interaction between genes and food.

Eating disorders

EDs are characterized by a persistent disrupted eating behaviour, which leads to changes in dietary intake, impaired physical health and psychosocial problems. The Diagnostic and Statistical Manual of Mental Disorders (DSM-5) currently recognises three primary EDs: anorexia nervosa (AN), bulimia nervosa (BN), and binge-eating disorder (BED).²⁴ Additionally, the DSM-5 mentions avoidant/restrictive food-intake disorder (ARFID; an eating disturbance manifested by a restrictive eating pattern with persistent failure to meet appropriate nutritional needs), pica (the consumption of nonfood) and rumination disorder (regurgitation and rechewing food).^24,25 However, as we are not aware of any genetic research on ARFID, pica or rumination disorder, the current review will not focus on these conditions.

The main criteria for the diagnosis of AN are a significantly low body weight in the context of age, sex, and physical health, intense fear of weight gain and disturbed body perception.^24,25 The dietary deficit is often accompanied by significant physical health issues, including growth retardation, osteopenia, amenorrhoea and renal insufficiency, in addition to changes in laboratory parameters, cardiac arrhythmia and disturbances of thyroid function.²⁶ The main criteria for the diagnosis of BN are recurrent binges (the consumption of an unusually large amount of food within a short time interval associated with loss of control) associated with compensatory behaviours, including vomiting, excessive physical activity or fasting at least once a week for three months, and excessive preoccupation with shape and weight.^24,25 BED is characterized by the intermittent consumption of large quantities of food, with a sense of loss of control (binge eating), at least once a week for three months without the use of the extreme compensatory strategies, and the experience of marked distress regarding the binge eating; three or more of the following symptoms have to be present: eating more rapidly than normal, eating until feeling uncomfortably full, eating large amounts of food when not feeling physically hungry, eating alone because of being embarrassed by how much one is eating, and feeling disgusted with oneself, depressed, or very guilty after overeating.²⁴

Given that transitions between diagnostic categories are common, some theorists have proposed dimensional models of EDs or, in other words, a spectrum of disordered eating. This view is supported by the fact that there are many overlapping risk factors and symptoms^25,27,28 and by estimates of the genetic correlation between AN and BN, based on data derived from the Swedish Twin Study of Adults, which show that common comorbidity of AN and BN can in part be accounted for by shared genetic and environmental influences.²⁹ Therefore, this review will not only include specific EDs, but will also include the main pathophysiological factors that may apply for the spectrum of EDs.

Aim of this review

This review summarises the results of genetic research in order to develop a hypothetical pathophysiological model of EDs (Figure 1). This hypothetical model will outline the wider picture of biological factors contributing to the development of EDs. As explained above, we have included microbiome studies in this review, as the importance of the microbiome for psychiatric disorders, and specifically for EDs, is increasingly acknowledged by researchers,^30–34 and the majority of microbiota research uses genetic methods. We do not aim to provide a detailed and comprehensive summary of genetic and microbiome research and their methods, as detailed summaries have already been written in previous years on genetic^35–40 and gut microbiota³⁴ research in EDs.

Figure 1.

Schematic and simplified depiction of a pathophysiological model of eating disorders based on genetic findings.

Formal genetic studies

Family studies

The familial nature of AN has been well established; the first-degree relatives of individuals with AN have an approximately 10-fold greater lifetime risk of falling ill with an ED than relatives of unaffected individuals.^41–43 However, family studies are unable to determine the extent to which the observed familial aggregation is due to genetic or environmental factors.

Twin studies

To determine the genetic risk, twin studies have been performed, which have yielded a high heritability of 50–60%; for example, a large twin study performed by Bulik and colleagues led to a heritability estimation for AN of 56%, with the remaining variance attributable to both shared and unique environment factors.⁴⁴ Holland and colleagues showed concordance rates for AN of 0.71 for monozygotic twins and 0.1 for dizygotic twins.⁴⁵

Twin studies also revealed that genetic effects and environmental factors contribute to the liability to BN.³⁶ BN aggregates in families of affected patients. The relative risks for BN have been reported as 4.2 and 4.4 for first-degree female relatives of patients with AN and BN, respectively.⁴² Twin studies of BED have reported heritability estimates between 41% and 57%, depending on the criteria for BED.^46–48

Adoption studies

To the best of our knowledge, adoption studies are lacking in EDs. However, in studies investigating disordered eating symptoms, an adoption study with 123 adopted and 56 biological female sibling pairs was published by Klump and colleagues.⁴⁹ Eating pathology, body dissatisfaction, weight preoccupation and binge eating were assessed with the Minnesota Eating Behaviors Survey.⁵⁰ Using biometric model fitting, the authors calculated significant genetic influences between 59% and 82% on all forms of disordered eating. Nonshared environmental factors accounted for the remaining variance. These data demonstrate the significant genetic effect on disordered eating.⁴⁹

Molecular genetic studies

Linkage studies

Linkage studies aim to identify genomic regions that have an increased likelihood of containing genes that are associated with a disorder or trait. Genetic linkage means the tendency of DNA sequences to be inherited together, if they are located close together in the same region on a chromosome. A linkage analysis is conducted on samples of related individuals, including parent–offspring trios, affected sibling pairs or dense pedigrees. Linkage analyses in EDs have detected signals on chromosomes 1, 2, 3, 4 and 13 for AN and on chromosome 10 for BN.^39,51–54 Fine mapping of one of these regions on chromosome 1 identified the serotonin 1D (HTR1D) and the opioid delta 1 receptor (OPRD1) genes.⁵² However, without subsequent fine mapping, a key limitation of linkage analysis is its inability to narrow down regions to an experimentally feasible number of genes.⁴⁰

Candidate–gene association studies

Candidate–gene association studies are hypothesis-driven evaluations of specific variants in a particular gene, most often selected on the basis of a biological hypothesis, as a candidate gene is a prespecified gene of interest that may be associated with a phenotype or disease state. Candidate–gene association studies have been most successful for diseases in which the relevance of the selected gene to the biology of the disorder was already well established.⁵⁵ For example, candidate–gene studies have identified common and rare alleles in genes already known to influence serum lipid phenotypes, including levels of low-density lipoprotein and triglycerides.⁵⁶ For psychiatric disorders in which the underlying biology remains fully elucidated, candidate–gene studies involve more speculation regarding the relevance of the selected gene and thus have a smaller prior probability of detecting a true association.⁵⁵

Candidate–gene studies in anorexia nervosa

A systematic search for human genetic candidate–gene associations studies in AN found associations of AN with (a) genes related to neurotransmitters, including serotonin, norepinephrine and glutamate, (b) genes related to hunger regulatory systems, including leptin, agouti-related peptide (AGRP), melanocyte-stimulating hormone (α-MSH), the melanocortin-4 receptor (MC4R), neuropeptide Y (NPY) and ghrelin, (c) genes related to feeding motivation- and reward-related systems, including opioids, cannabinoids and dopamine, (d) genes related to systems regulating energy metabolism, (e) to neuroendocrine systems, and (f) to the immune system and inflammatory response.⁵⁷ Overall, the studies summarized in this review examine only one or a few markers and have small samples. The majority of these results have not been replicated in larger samples, and these associations do not emerge in GWASs. Therefore, no far-reaching conclusions should be drawn on the basis of these results.

Candidate–gene studies in bulimia nervosa

In BN, candidate–gene association studies revealed nonsignificant or conflicting results for the serotonin transporter, dopamine receptor D4, catechol-O-methyltransferase, leptin receptor, MC4R, AGRP, proopiomelanocortin (POMC), oestrogen receptor 1, and the brain-derived neurotrophic factor (BDNF) (for review see⁴⁰). Positive results were obtained in genetic studies investigating polymorphisms in ghrelin,⁵⁸ oestrogen receptor ER₂,⁵⁹ cannabinoid receptor CR₁,⁶⁰ and the fat mass and obesity-associated gene.^61,62 However, none of these positive results have been independently replicated in larger samples.

Candidate–gene studies in binge-eating disorder

In BED, candidate–gene association studies revealed nonsignificant or conflicting results for ankyrin repeat and kinase domain containing 1, ghrelin, MC4R, and BDNF genes (for review, see the work by Yilmaz et al.⁴⁰). Positive results were obtained in genetic studies investigating polymorphisms in the serotonin transporter,⁶⁰ dopamine receptor D₂⁶³ and μ₁-opioid receptor.⁶⁴ Similar to the positive results derived from candidate–gene studies in BN, none of these results have been replicated.

Genome-wide association studies

GWASs have evolved over the last 10 years into a useful tool for investigating the genetic architecture of human disease and can be described as the current workhorse of psychiatric genetics.⁶⁵ A GWAS is an observational study of a genome-wide set of genetic variants in different individuals to determine whether any variant is associated with a trait. Like candidate–gene associations studies, GWASs compare cases and controls, but they investigate up to 1,000,000 genetic markers in hundreds of thousands of study participants using a hypothesis-free approach. As with the majority of psychiatric disorders, GWASs suggest that AN is polygenic in nature, with several genetic variants of small effect being involved.^66–68

In a GWAS comprising 12 cohorts (3495 AN cases and 10,982 controls), only one genome-wide significant locus on chromosome 12 in a region harbouring a previously reported type 1 diabetes and autoimmune disorder locus was identified.⁶⁸ Multiple genes in the region around this top SNP rs4622308 reached gene-based significance. The top locus in this region and the fourth top locus in the SNP-based analyses of this study was FAM19A2, a putative chemokine or cytokine.⁶⁸ Candidate genes from previous studies did not reach gene-based significance in this study (for further details see the work by Duncan et al.⁶⁸).

Li and colleagues published the results of a GWAS of 692 female AN cases and 3570 female matched controls. They conducted an analysis of phenotypic variability which led to the identification of a specific genetic risk factor that approached genome-wide significance. This SNP, rs929626, is located in the sixth intron of the early b-cell factor 1 (EBF1) gene which influences leptin signalling. Thus, the authors concluded that their finding suggests that a variant-mediated dysregulation of leptin signalling may be involved in the pathophysiology of AN.⁶⁹ However, EBF1 is also important in the immune system for B-cell maturation.^70,71

The latest GWAS in AN based on 2158 cases from nine populations of European origin and 15,485 ancestrally matched controls was published by Huckins and colleagues and focused on common, low-frequency and rare genome-wide variation in AN.⁷² Although no results reached genome-wide significance, two notable common variants were identified. The first was an intronic variant associated with the OPCML gene that codes for an opioid-binding protein, which is localized in the plasma membrane and may have an accessory role in opioid receptor function. The second was an intergenic variant associated with the ANKRD50 gene, which is a protein-coding gene involved in the endosome-to-plasma membrane trafficking and recycling of cargo proteins, including glucose transporter 1 (GLUT1).^72,73

GWASs in EDs have been used to calculate genetic correlations between different disorders, or between disorders and physical traits. Significant positive genetic correlations were observed between AN and schizophrenia, obsessive–compulsive disorder (OCD), neuroticism, educational attainment, and high-density lipoprotein cholesterol. Significant negative genetic correlations were obtained between AN and body mass index (BMI), insulin sensitivity, glucose metabolism, and lipid phenotypes.^68,74,75

Genetic studies using state-of-the-art technologies in BN or BED are limited and, to the best of our knowledge, no large GWASs have been performed in BN and BED. However, Wade and colleagues conducted a GWAS in 2564 female twins.⁷⁶ They did not establish a diagnosis for BN or BED, although participants completed a health and lifestyle self-report questionnaire which included symptoms of disordered eating of the AN spectrum, BN spectrum and substance-induced purging. However, no association between symptoms of disordered eating and genetic variants reached genome-wide significance in this study. The authors concluded that larger samples and meta-analyses are required to identify genes and pathways contributing to predisposition to EDs.⁷⁶

Although GWASs are considered an appropriate tool to identify genetic variants of genome-wide significance for the investigated disorder, the effect of certain genetic variants contributing to the overall heritability are too small to be detected by GWASs. This phenomenon is referred to as missing heritability, which should be taken into account while interpreting GWAS data.^77,78 Statisticians are currently developing solutions on how to combine such weak but possibly important signals to increase the power of GWASs.^77–81

Epigenetics

Epigenetics examines changes in gene function that do not involve changes in the DNA sequence.⁸² Epigenetic mechanisms include methylation of the DNA, histone modification, and the regulation of gene expression at the transcriptional and post-transcriptional level by noncoding ribonucleic acids (RNAs), including micro-RNAs (miRNAs), short-interfering RNAs (siRNAs), and piwi-interacting RNAs (piRNAs).⁸³

Global methylation studies

The majority of epigenetic studies in EDs have measured the global DNA methylation level. Methylation can change the activity of a DNA segment without changing the sequence. When located in a gene promoter, DNA methylation typically acts to repress gene transcription. However, to measure global methylation means quantifying the 5-methylcytosine content across the whole DNA. This approach does not look at specific DNA segments or genes. Frieling and colleagues identified global DNA hypomethylation in patients with AN compared with controls.⁸⁴ In this study, patients with AN showed a trend towards a lower global methylation compared with patients with BN, and no difference was found between patients with BN and controls. A reduction of global DNA methylation was also found in a trial performed by Tremolizzo and colleagues in adolescents with AN.⁸⁵ However, no evidence for altered global DNA methylation in association with AN was found by Saffrey and colleagues,⁸⁶ whereas increased global methylation in AN was reported by Booij and colleagues.⁸⁷

Epigenome-wide association studies

Epigenome-wide association studies allow for the determination of global DNA methylation and also to regional changes in DNA methylation throughout the genome. These studies can lead to epigenetic results relating to a specific gene. For example, the abovementioned study by Booij and colleagues⁸⁷ measured not only global methylation, but also methylation of specific genes. In women with AN, they identified hypermethylated regions representing genes associated with histone acetylation, RNA modification, cholesterol storage and lipid transport, and dopamine and glutamate signalling. Of note, they specifically detected hypermethylated sites at the Tenascin XB (TNXB) gene.⁸⁷ This result was confirmed by Kesselmeier and colleagues in a high-throughput DNA methylation analysis of blood from 47 females with AN, 47 lean females without AN and 100 controls.⁸⁸ TNXB encodes an extracellular matrix glycoprotein with antiadhesive effects.⁸⁹ Absence of this protein in humans has been associated with the Ehlers-Danlos syndrome, a connective tissue disorder.⁹⁰ The gene is located on chromosome 6 within the major histocompatibility complex (MHC) class III region.⁹¹

Although the results of global methylation studies and epigenome-wide association studies are promising, it is important to take into account that the sample sizes of the reported studies are small and that epigenetic changes are tissue specific. Additionally, epigenetic changes are associated with diurnal and seasonal factors, medication, exercise, diseases, diet, psychological and socioeconomic factors.⁹² It may be the case that these factors account for the contradictory results obtained in the abovementioned global methylation studies.^84–87

Gene expression studies

Gene expression is the process by which genetic instructions, as they are coded on the DNA, are used to synthesize gene products such as messenger RNA (mRNA), functional RNA or proteins. To our knowledge, most of the gene expression studies in EDs measured mRNA expression.

Messenger ribonucleic acid expression studies

Changes in the mRNA expression have been reported in atrial natriuretic peptide (ANP),⁹³ cannabinoid 1 receptor (CB1),⁹⁴ POMC,⁹⁵ and dopamine transporter (DAT) and D2 receptor (DRD2)⁹⁶ genes in people with AN. Additionally, the expression of leptin receptor-coding gene was shown to differ significantly between binge–purge AN subtype and restricting subtype patients, and between AN restricting subtype patients and control participants.⁹⁷ Kahl and colleagues observed an increase in mRNA expression of tumour necrosis factor (TNF)-α and interleukin (IL)-6 in patients with AN at hospital admission compared with controls. The mRNA expression of TNF-α remained significantly higher, whereas that of IL-6 decreased in weight-restored patients.^38,98

Gene–gene interaction studies

Genes do not function alone but exert effects on disease traits together with other genes (gene–gene interactions) and through interactions with environmental factors. Mercander and colleagues performed a family-based association study with 151 TagSNPs covering 10 neurotrophin signalling genes in 371 EDs trios of Spanish, French and German origin. They found that the nerve growth factor (NGFB) gene modified the AN risk conferred by certain neurotrophic receptor tyrosine kinase 3 (NTRK3)-risk genotypes by a synergistic gene–gene interaction.⁹⁹

A study by Urwin and Nunn provided evidence for an important interaction between the monoamine oxidase A (MAOA) and serotonin transporter (SERT) genes.¹⁰⁰ They assessed 114 patients with AN and their biological parents, and found that a SERT gene genotype with no apparent individual effect was preferentially transmitted to children with AN when the more active MAOA gene variant was also transmitted. In this study, the increased risk of developing the disorder was up to eight times greater than the risk imposed by the MAOA gene variant alone.¹⁰⁰

Cui and colleagues combined linkage analyses and methods to examine gene–gene interactions.¹⁰¹ DNA was collected from two large families affected by EDs, and mutations segregating with illness were identified using a combination of microarray linkage and whole-genome sequencing. In the first family, linkage analysis of 20 members across three generations identified a rare missense mutation in the oestrogen-related receptor-α (ESRRA) gene that segregated with illness. In the second family, the analysis of eight members across four generations identified a missense mutation in the histone deacetylase 4 (HDAC4) gene that segregated with illness. The authors followed up on these findings with a transcriptional analysis. The HDAC4 transcript was found to repress the expression of ESRRA in vitro and in in vivo animal experiments.¹⁰¹

Nutritional genomics

The science of nutritional genomics includes nutrigenetics and nutrigenomics. Nutrigenetic studies examine the effect of genetic variation on diet, and the response to certain nutrients. Nutrigenomic studies aim to assess the influence of nutrients on the expression of genes.^38,102,103

Nutrigenetic studies

Nutrigenetic research in EDs remains in its infancy. However, the first studies have revealed promising results. For example, Scott-Van Zeeland and colleagues reported gene variants within the epoxide hydrolase 2 (EPHX2) gene were associated with susceptibility to AN,¹⁰⁴ and data from the same study group showed that, on eating a meal, an increase of pro-inflammatory molecules was observed in AN patients, but not in healthy controls, depending on EPHX2 enzyme activity and the consumed polyunsaturated fatty acids (PUFAs).¹⁰⁵ An EPHX2-dependent inflammatory response following a meal in those with AN, but not in healthy controls, suggests that the genetically determined way our body reacts to certain nutrients may contribute to the development of an ED.

Nutrigenomic studies

The general aim of nutrigenomics is to identify the effects of nutrients, including macronutrients and micronutrients, on the genome.¹⁰³ However, nutrigenomic studies, including studies in other genetic subdisciplines, require large sample sizes to identify those interactions and to reveal fundamental biological insights.^38,16 Although nutrigenomic studies may offer a promising approach to elucidate the effects of diet on health, to the best our knowledge, no such nutrigenomic studies have been performed in the field of EDs in order to determine the influence of dietary ingredients on the genome.

Genetics of the microbiome

In microbiome studies, stool samples are usually collected from study participants, and the bacterial DNA is extracted and determined using commercially available kits.

Gut microbiota has been demonstrated as involved in different metabolic functions, including the regulation of weight gain, energy harvest from the diet and insulin secretion, and is heavily influenced by diet and lifestyle.^33,106

The microbiota are reported to produce an array of bioactive metabolic products capable of entering the systemic circulation. These metabolic products can have profound effects on host metabolism, immune function, and gene expression in several organ systems, including the central nervous system (CNS).¹⁰⁷ Short chain fatty acids (SCFAs) are volatile fatty acids produced by bacteria in the bowel. Acetic acid, propionic acid, and butyric acid are the most abundant.¹⁰⁸ Butyrate is rapidly used as an energy source for colonocytes, whereas the majority of acetate and propionate enter the portal circulation.¹⁰⁹ Butyrate is an HDAC inhibitor with potential effects on gene expression in human cells.¹¹⁰ Propionate crosses the blood–brain barrier, enters the CNS and affects various physiological processes, including cell signalling, neurotransmitter synthesis and release, free-radical production and mitochondrial function. Propionate is a precursor for cholesterol synthesis regulation and gluconeogenesis in the liver.¹¹¹ Acetate is the main SCFA in the blood and has a key metabolic role in peripheral tissues where it acts as a substrate for lipogenesis.^31,112 Therefore, microbiota are capable of modulating the brain and the metabolic system of the body.

Enteroendocrine cells express specific receptors for bacterial products, and these cells modify the secretion of hormones that regulate hunger and satiety according to the obtained receptor signals.¹¹³ Additionally, bacterial products, including lipopolysaccharides (LPS) modulate the function of the blood–brain barrier and increase its permeability, thus increasing the effect of circulating cytokines to appetite regulation.¹¹⁴ Furthermore, the host produces antibodies against microbial peptides, which can act as autoantibodies against appetite-regulating hormones including α-MSH.^115–118 Therefore, it can be concluded that the microbiota can influence major processes within the immune system.

However, literature in this area remains limited, with only a small number of studies measuring gut bacterial profiles in patients with EDs.^{112,118–121} These studies identified novel bacterial species in patients with AN admitted to hospital,¹¹² profound microbial perturbations in patients with AN compared with controls, and disturbed SCFA profiles in patients with AN.^30–33

In addition to SCFAs, there are other molecules produced by human microbiota that may influence the brain, in addition to appetite and weight regulation. For example, caseinolytic protease B (ClpB) produced by enterobacteria has been identified as a mimetic of α-MSH. In a study by Breton and colleagues, plasma concentrations of ClpB were measured in female patients with AN, BN, and BED, and were compared with healthy participants. ClpB concentrations were elevated in patients with ED, without significant differences in patient subgroups. Plasma ClpB concentrations correlated with ED psychopathology and α-MSH. These results suggest a link between bacterial ClpB and the ED pathophysiology.¹²¹

In this context, it is important to refer to a study that examined the use of antimicrobial medication in a large patient cohort treated for BED, BN, and AN over the 5-year period preceding ED treatment. A total of 1592 patients with an ED were compared with 6368 matched controls from the general population. The study population was linked to the prescription data of antibacterial, antifungal and antiviral medication. Individuals with BN and BED had received antimicrobial medication prescriptions more often than their matched controls, whereas no significant difference was found in AN. Regarding the defined daily doses per individual, patients with BN, BED, and males with AN had significantly higher total antimicrobial medication use. It was concluded that changes in intestinal microbiota due to infections, inflammation, or antibacterial medications may contribute to EDs.¹²²

A pathophysiological model of eating disorders based on genetic and gut microbiome findings

Family studies, twin studies and GWASs all suggest that genetics plays a major role in the development of EDs. In order to create a pathophysiological model based on the results of genetic studies, we have rearranged the findings to include factors outside the human body, the biology of the body which is significantly influenced by genes, and the resulting ED phenotype (Figure 1). Significant nongenetic risk factors contributing to the aetiopathogenesis of EDs will be mentioned, but not explained in detail, as they are not the focus of this review. The reader may refer to the cited literature.

Factors outside the body

Relevant factors in the development of an ED from outside the body include the social environment, the biological environment and nutritional factors. Within the social environment, the socioeconomic status, culture and lifestyle, a certain ideal of beauty, relationships, and psychosocial stresses including academic challenges, which can have an impact on the emergence of an ED.^123,124 Additional relevant factors outside the human body mutually influencing each other include the biological environment, diet, and the use of medication and probiotics.^125–128

The above environmental factors are able to directly precede ED symptoms, for example, when a teenage girl does not fit the beauty ideal of her peers, is bullied for having ‘fat thighs’ and starts a diet, they can develop symptoms of AN, as it has been shown that bullying can lead to dieting, which is a major risk factor for the development of an ED.^129,130 These factors may also indirectly lead to an ED by influencing the biology of the body. For example, several cases have been reported in the literature, where streptococcus infection triggered an autoimmune response in the body that lead to AN.¹³¹

Biological factors within the body

As described in the previous sections of this article, the most important elements of the biology of the human body for the development of an ED from a genetic perspective include the microbiome, the metabolic system, the immune system and the brain (middle of Figure 1).

Microbiota

It has been hypothesized that microbes in the gastrointestinal tract manipulate their host’s eating behaviour to increase microbe fitness. Microbes may do this through generating cravings for foods that they specialize on or foods that suppress their competitors, or inducing dysphoria until individuals eat foods for the benefit of the microbes in their body.¹¹⁵ Such nutritional and environmental factors can lead to dysbiosis of the microbiome, which, as a consequence, alters the production of SCFAs, including acetic, propionic and butyric acid (an HDAC inhibitor),¹¹⁰ and of certain enzymes, including ClpB (a mimetic of α-MSH).¹²¹ As explained previously, the bacteria and the molecules they produce influence the metabolic system, the immune system, and the brain.^{30–32,106–121}

Metabolic and endocrine system

The metabolic system comprises a number of metabolic and endocrine organs, including the gastrointestinal tract, the liver, endocrine glands, including the pancreas and the thyroid, and the fatty tissue, in addition to certain cell functions, including the transport of glucose into the cell. This system is influenced by food intake, diet, medication, physical activity, the homeostatic system of the brain and the immune system. It can alter the metabolism of cholesterol and lipids, and can send various hormonal signals, including ghrelin, insulin and leptin, to the brain and the immune system.^58,97,132 The findings of associations between a variant of the ANKRD50 gene with AN and polymorphisms in the ghrelin⁵⁸ and the fat mass and obesity-associated genes^61,62 with BN indicate the importance of the metabolic and endocrine system in the development of AN and BN from a genetic perspective.^72,73

Immune system

The immune system reacts to stress, food intake, components of bacteria (LPS) or molecules produced by microbiota by altering its production of cytokines, including TNF-α and IL-6, chemokines and factors of cell differentiation, which have an influence on the brain.^{105,98,133–136} EPHX2 enzyme activity has been demonstrated having a diet-dependent modulating influence on cytokine production.¹⁰⁴ The fact that epigenetic research has identified a hypermethylated region at the TNXB gene, which is localized within the MHC class III region, is a further indication for the importance of the immune system.^87,88,91 The MHC class III molecules include several proteins with immune functions, including cytokines. These proteins are involved in global and specific inflammatory responses.¹³⁷ In this respect, it is interesting to mention that the strongest genetic association in schizophrenia at the population level involves variation in the MHC locus.¹³⁸

In order to understand the possible significance of the immune system in the pathophysiology of EDs as indicated by genetic research, it is important to include the ways in which the immune system has been shown to influence other bodily systems, including the brain and the metabolic system. For example, in accordance with Kahl and colleagues, who observed an increase in the mRNA expression of TNF-α and IL-6 in patients with AN,⁹⁸ meta-analyses have found elevated levels of TNF-α, IL-1 and IL-6 in patients with AN.^139,140 These changes may appear as a consequence of acute, chronic or social stress.^135,136,141 Additionally, bacteria from the gut microbiota can stimulate the production of cytokines, for example by the release of LPS, which binds to pattern recognition receptors including Toll-like receptor 4, on circulating monocytes and macrophages.¹⁴² In turn, cytokines can influence the signal transduction of afferent nerves, including the vagus nerve, which convey information to the brain; they are also capable of permeating the blood–brain barrier, and influencing brain metabolism and signal processing by activating monoamine reuptake, stimulating the hypothalamic–pituitary–adrenocortical (HPA) axis and decreasing the production of serotonin via the increased activity of indolamine-2,3-dioxygenase.^133,134 The importance of the interplay between the immune system and the brain is further underlined by the fact that changes in the concentrations of pro-inflammatory cytokines have been found in the serum or plasma of patients with different psychiatric disorders, including depression,^134,143 post-traumatic stress disorder and schizophrenia.^144–147

The immune system is also closely linked to the metabolic and endocrine systems. Cytokines, including TNF-α, which are released during infection and inflammation, activate the HPA system at the hypothalamic, pituitary, and adrenal level, resulting in the release of cortisol as the most important negative feedback signal to prevent an overshoot of the ongoing host defence;^148–151 glucocorticoids, in turn, suppress the production of pro-inflammatory cytokines, and a chronically activated HPA axis in chronic stress results in defective immune system responses to an inflammatory challenge.^151–155 These interactions may partly explain the influence exerted by HPA axis hormones on natural killer cell (NK) activity in patients with AN.¹⁵⁶ Similar to depression, a disturbed interplay between cytokines and the HPA axis has been found in AN.^151,157

Brain

In order to sort and interpret genetic findings on the brain and neurotransmitter systems, we refer to an approach based on brain-imaging studies, which illustrates the importance of three specific brain systems for EDs: the self-regulatory, the hedonic and the homeostatic systems.²⁵ In this approach, the self-regulatory system is located mainly in the prefrontal areas, which embeds eating into the social context, creates individual values and provides self-regulatory control in response to environmental, social and cultural factors. Important transmitters of this system are serotonin, noradrenalin, acetylcholine and glutamate, of which serotonin and glutamate have support from genetic studies. The hedonic system consists of regions in the prefrontal cortex, the basal ganglia and the thalamus. It is relevant for increasing the desire to eat and pleasure during food consumption on the basis of information from the sensory organs and the hippocampus using dopamine, opioids, and cannabinoids, which have been identified in genetic research of EDs, as neurotransmitters. The hypothalamic homeostatic system integrates peripheral signals of food consumption and energy storages, including leptin, in order to regulate appetite. α-MSH, of which POMC is a precursor protein and has been shown to be of importance in the development of AN in gene-expression studies, is an important signalling molecule of the homeostatic system.²⁵

Genetic findings can be sorted according to these three brain systems. According to this classification, genetically predisposed alterations in brain function can be found in patients with an ED in the self-regulatory system, including modified serotonin signalling in patients with AN and BED,^{39,40,53,60,81,100} and altered norepinephrine and glutamate signalling in patients with AN.⁵⁷ Regarding the hedonic system, positive significant associations in AN, BN and BED have been found for dopamine, cannabinoid and opioid signalling.^{60,63,64,72,94–96} The importance of the homeostatic system is demonstrated by associations of candidate genes in studies of patients with AN, in which genes associated with AGRP, α-MSH, MC4R, NPY appeared to be significantly associated;⁵⁷ and in patients with BN, where positive results have been obtained for ghrelin,⁵⁸ which unfolds its orexigenic effects in the hypothalamus.¹³² α-MSH signalling seems to be of specific importance, as this molecule is also relevant in the crosstalk between the microbiome and the brain.^115–118

Eating disorder phenotype

The combination of the biological processes which are influenced by environmental and nutritional factors lead to the behavioural traits of EDs, including an altered response to food intake due to inflammatory processes, to changes in the regulation of weight and metabolism, or an altered motivation towards food intake and physical activity. In EDs, however, the phenotype is not only defined by the psychological and behavioural symptoms of the disorder, but also by its consequence, for example, in the case of AN, malnutrition and an impairment of organ structure and function²⁶ and thus, again, influencing the biology of the human body. EDs also put a strain on the patients’ relationships and lead to social withdrawal.¹⁵⁸

Taken together, Figure 1 shows the major factors of the aetiopathogenesis EDs. These factors are related to the environment, nutrition, microbiota, regulatory systems of the body and ED symptoms, and they influence each other. The depicted information might assist in interpreting genetic findings regarding the microbiota and the human genome against the background of environmental and biological factors and the different facets of the ED phenotype.

Discussion

The pathophysiological model

Even though the contemporary genetic knowledge regarding EDs has not led to specific diagnostic methods or therapies, it contributes to valuable novel insights into the pathophysiology of EDs and assists in interpreting findings from other research areas, including brain imaging, neuroimmunological and neuroendocrine research, psychopharmacology, and neuropsychology. On the basis of the reviewed literature, we propose a biological disease model based first and foremost on contemporary genetic findings and research on the microbiome. Although this model explains the connection between environmental and nutritional factors, microbiota and the metabolic system, the immune system, the CNS, and ED pathology, it has shortcomings due to uncertainties in the genetic knowledge and due to assumptions made regarding the nature of EDs.

Shortcomings

Shortcomings in the genetic knowledge of EDs arise from the lack of certain types of genetic studies. For example, in other psychiatric disciplines, brain-imaging studies have revealed genetic effects on brain structure and function, thus implicating neural pathways and causal mechanisms.¹⁵⁹ Despite substantial progress in neuroimaging studies,^160,161 published imaging genetic studies on EDs are limited. However, within the Enhancing Neuro Imaging Genetics by Meta-Analysis (ENIGMA) Consortium, there is an ENIGMA–AN imaging genetics working group dedicated to improving the understanding of structural brain changes in patients with AN.¹⁶²

The same is unfortunately the case for pharmacogenetic studies, which may partly be due to a lack of consensus on effective pharmacological treatment strategies.²⁵ Other areas of research lacking in EDs include the examination of common and rare variations, copy number variation, cross-disorder analysis, and gene-environment interplay, specifically the interplay between gene expression, genetic imprinting, and pre- and postnatal environmental factors.

The majority of genetic studies in EDs have been performed in AN, with only a limited number of studies in BN or BED. For example, no GWAS has been published for BN or BED, with the exception of symptoms of the BN spectrum.⁶⁷ The reported GWASs in AN^67–69,72 remain limited in their power to identify a meaningful set of genes contributing to AN, as one single significant locus in a study of thousands of patients with AN is a small outcome for such a large effort.

In addition, ED entities remain an area of discussion.^27,28 For example, AN may not be a purely psychiatric disorder, but a disorder with significant psychological, brain–anatomical, metabolic or immunological aspects. It may be the case that these traits will assist in subclassifying AN in the future. However, as highlighted in our explanations relating to Figure 1, these systems are so closely linked together, that such subclassification may not work in practice.

Current efforts for genetic research in EDs

Currently, the PGC is performing GWASs in EDs. It is the largest consortium in the history of psychiatry and has recently commenced a programme of research designed to deliver ‘actionable’ findings, with genomic results that reveal fundamental biology, inform clinical practice, and deliver novel therapeutic targets. The central idea of the PGC is to convert genetic findings into biologically, clinically, and therapeutically meaningful insights.¹⁶

Examples of promising contemporary studies collecting genetic data include the Avon Longitudinal Study of Parents and Children (ALSPAC), the Norwegian Mother and Child Cohort Study (MoBa), the Anorexia Nervosa Genetics Initiative (ANGI), the Charlotte’s Helix Project, the Binge Eating Genetics INitiative (BEGIN), and the abovementioned ENIGMA–AN work group. The ALSPAC is a prospective pregnancy cohort (baseline 1991–1992) charting the health of 14,500 families in the Bristol area.¹⁶³ MoBa is a study for which >90,000 pregnant women were recruited between 1998 and 2008, and in which >70,000 of fathers participated.¹⁶⁴ ANGI is the largest and most rigorous genetic investigation of EDs conducted to date. This international collaboration collected blood samples and clinical information from 13,364 individuals with lifetime AN as well as ancestrally matched controls. ANGI has thus substantially augmented the PGC AN sample collection. ANGI recruited from the United States, Australia, New Zealand, Sweden and Denmark via national registers, treatment centres, social and traditional media.¹⁶⁵ The Charlotte’s Helix Project was founded in the UK to honour the ED advocacy work of Charlotte Bevan and is part of a global effort to collect DNA samples from >25,000 individuals with AN.¹⁶⁶ BEGIN will conduct a large GWAS in 2500 individuals with binge-type ED and matched controls, coupled with microbiota sampling, and deep phenotyping using an ED recovery application programmed on Apple watches.¹⁶⁷

The sample sizes, phenotyping and statistical approaches of these initiatives are promising, and these projects are likely to elucidate further important pathophysiological factors leading to the development of EDs.

Historical and philosophical considerations

It can be argued that heritability has already been considered in biblical times and that we are still unable to transform this relatively old idea into an effective therapy for patients, however, there is legitimate hope that novel genetic methods, including GWASs, will reveal crucial pathophysiological pathways for EDs and lead to novel therapeutic strategies in the near future.

Publication bias is widespread in biomedical research, including genetics.^168,169 The study by Rüdin⁹ was mentioned as a historic example of unpublished negative results in order not to challenge one’s political beliefs and risk one’s own carrier.⁹ Publication bias was not only a problem during the time of Nazi pervasion, it is an ongoing issue.¹⁷⁰

The discovery of the unconscious and the development of antidepressants were significant breakthroughs in psychiatry, which had a marked impact not only on psychiatric treatment, but also on the way we see ourselves.^171,172 The elucidation that the microbiome has a significant impact on us may have a similar implication, as it shows that we are not a single entity, but more symbiosis of billions of organisms.

Therapeutic implications

It may be the case that important discoveries have already been made, but we cannot realise them, in a manner similar to Gregor Johann Mendel, who gained recognition as the founder of formal genetics only posthumously. For example, the increase in the mRNA expression of TNF-α in patients with AN⁹⁸ may have an impact on the development of novel drug targets for EDs as available anti-TNF-α drugs, for example etanercept, have been used in other psychiatric disorders and may, in principle, be assessed in EDs also.¹⁷³

In addition to TNF-α and IL-6,⁹⁸ we have discussed LPS,¹¹⁴ SCFAs,^107–111 ClpB,¹²¹ EPHX2,¹⁰⁴ EBF1,^69,70 TNXB,^87,88 which, in addition to other MHC proteins, are pathophysiological key molecules. These molecules may offer potential as future drug targets, if inhibitors or analogues of these molecules become available.

Zheng and colleagues performed experiments in germ-free mice. The transplantation of microbiota from patients suffering from a depressive episode resulted in depression-like behaviours, whereas colonization with microbiota derived from healthy controls did not.¹⁷⁴ Therefore, faecal microbiota transplant may become a future therapeutic option for patients with EDs. In a more specific approach, it has been shown that Lactobacillus rhamnosus alleviates OCD-like and anxious behaviours in animals, possibly by altering gamma-aminobutyric acid (GABA) receptors or even synthesizing and releasing GABA.¹⁷⁵ Therefore, L. rhamnosus may have beneficial psychological effects in patients suffering from psychiatric disorders with these symptoms, including those with OCD, anxiety or AN.

Taken together, genetic research in EDs has changed the way we think about AN, BN and BED, as it clearly demonstrates the importance of biological factors in the pathophysiology of EDs. This knowledge will hopefully lead to novel therapeutic ideas and eventually put an end to the management of life-threatening medical complications, nutritional rehabilitation, including tube feeding and other unpleasant coercive measures, and often unsuccessful psychosocial therapy being the only treatment options for EDs like AN.

Footnotes

Funding

This research received no specific grant from any funding agency in the public, commercial, or not-for-profit sectors.

Conflict of interest statement

Janet Treasure declares that she will be the Principal Investigator of a randomized controlled trial evaluating the effects of naloxone hydrochloride nasal spray on eating behaviours in bulimia nervosa sponsored by Opiant Pharmaceuticals. All other authors declare no conflict of interest.

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Genetic risk factors for eating disorders: an update and insights into pathophysiology

Abstract

Keywords

Introduction

Historical reflection on psychiatric genetics

Eating disorders

Aim of this review

Formal genetic studies

Family studies

Twin studies

Adoption studies

Molecular genetic studies

Linkage studies

Candidate–gene association studies

Candidate–gene studies in anorexia nervosa

Candidate–gene studies in bulimia nervosa

Candidate–gene studies in binge-eating disorder

Genome-wide association studies

Epigenetics

Global methylation studies

Epigenome-wide association studies

Gene expression studies

Messenger ribonucleic acid expression studies

Gene–gene interaction studies

Nutritional genomics

Nutrigenetic studies

Nutrigenomic studies

Genetics of the microbiome

A pathophysiological model of eating disorders based on genetic and gut microbiome findings

Factors outside the body

Biological factors within the body

Microbiota

Metabolic and endocrine system

Immune system

Brain

Eating disorder phenotype

Discussion

The pathophysiological model

Shortcomings

Current efforts for genetic research in EDs

Historical and philosophical considerations

Therapeutic implications

Footnotes

Funding

Conflict of interest statement

References