- 1CIBER Physiology of Obesity and Nutrition (CIBEROBN), Carlos III Health Institute, Madrid, Spain
- 2Psychoneurobiology of Eating and Addictive Behaviors Group, Neurosciences Programme, Bellvitge Biomedical Research Institute (IDIBELL), Barcelona, Spain
- 3Clinical Psychology Unit, University Hospital of Bellvitge, Barcelona, Spain
- 4Department of Clinical Sciences, School of Medicine and Health Sciences, University of Barcelona, L'Hospitalet de Llobregat, Barcelona, Spain
- 5Department of Psychobiology and Methodology, Autonomous University of Barcelona, Barcelona, Spain
Editorial on the Research Topic
Neurological, psychological and endocrine markers of eating disorders and obesity
1. Eating disorders and obesity: converging issues
Eating disorders (ED) are severe mental disorders characterized by severe and persistent dysfunctional thoughts about food accompanied by bizarre impairing eating behaviors. The ED category comprises diagnostic criteria for split diagnostic subtypes, being the most common in clinical and general populations anorexia nervosa (AN), bulimia nervosa (BN), binge eating disorder (BED) and other specified feeding and eating disorders (OSFED) (1). Some of these conditions can occur in individuals who are underweight (AN), normalweight (BN) and overweight (BED). However, most of the patients report cognitive distortions in their body image associated to compensative conducts to promote thinness (compulsive exercise, restrictive eating, purging, vomiting, and laxative/diuretics misuse). With the progression of the disorder, the altered consumption or absorption of food lead to multiple harming correlates on the physical and psychosocial areas (2), as well as high likelihood of comorbidity with other psychiatric disorders (such as anxiety, depression and substance use disorders), disability and mortality rates (3, 4). The prevalence estimates within developed societies for ED is around 5% of the general population (5), depending on the ED subtype, and large increases in incidences have been reported worldwide during the lasts decades, and specially after COVID lockdown. This panorama points to the need of new etiological research to identify underlying mechanisms among clinical and population-based samples.
Obesity (OB) is a severe disease, defined as the excessive-needless fat accumulation with the consequence of risk to health, with a body mass index (commonly used to classify weight state and calculated the weight in kilograms divided by the square of the height in meters, kg/m2) equal or over 30 among adulthood (6). Prevalence of OB has grown to epidemic magnitudes in developed countries around all ages (from early childhood through to old age), as a result of energy imbalance based on diets with increased consumption of energy dense foods without equivalent increase of physical activity. Under this budget research line, studies have observed the association between some type of foods (such as ultra-processed, which provide large amounts of saturated fats and free sugars) plus the eating patterns/habits with the incidence rates of obesity (7, 8).
While OB was been traditionally considered separate to the ED spectrum, recent empirical research and systematic reviews suggest that this polarization is flawed (9, 10). The complex relationships between OB and ED can be represented by dynamic shared pathways, impacting on weight and eating related problems. The common multiple interacting factors can be visualized in dynamic networks-structures, which contribute to the onset and to the developmental trajectories in each individual: (a) biological components, including genetics, brain functioning, endocrine and metabolic systems; (b) psychological variables, such as personality profile, self-perception and body image; (c) social context, mainly cultural and social ideals centered on beauty, as well as the impact of the media; and (d) other individual variables, comprising physical and mental health state. Other common features associated to the progression of these disorders are comorbid adverse physical and mental health conditions, substantial impairment in global quality of life, stigma and high resistance to changet (11).
2. Biological markers of ED and OB: from genetic to neuropsychological markers
Evidence from etiological research suggests the existence of multiple biological markers related to the onset and progression of both ED and OB, including genetic and neuropsychological processes, but also shared brain neurocircuitry and metaboloic signals. The overall observation of studies including neuropsychological measures is the identification of dysfunction in the impulse-inhibitory control responses and the executive functioning (including deficits in attention, decision-making and set-shifting), and these impairments should contribute to the ED-OB severity at baseline (12–16), and also on the short- and long-term therapy outcomes (17–21). More specifically, results of genetic neuroimaging, functional and molecular studies observed dopaminergic alterations and decreased basal metabolism in the prefrontal cortex and striatum among OB patients, and increased activation of reward brain regions in response to palatable food cues among ED patients (22). Consistent regional group differences have been identified according with the diagnostic subtype (23), suggesting that restrictive eating styles (such as AN) lead to decrease in brain volume (24) and brain abnormalities involving dorsolateral prefrontal cortex, visual cortex, mesolimbic areas (striatum, amygdala, hippocampus, and cerebellum) (25). On the other extreme of the continuum (excessive eating styles, such as those characteristics in the bulimic spectrum conditions [BN, BED and OB]), neuroimaging research suggests that the reward neural system achieves a relevant impact, and that the excessive episodes of food consumption should be the consequence of the need of large quantities of food until perceiving satisfaction (26–28).
The empirical evidence obtained in the etiological studies based on functional and molecular neuroimaging has transboundary clinical implications for dealing with ED and OB. First, for developing reliable prevention plans and early detection of eating problematic behaviors (29, 30). Second, to phenotype high-risk of ED and OB by identifying the neurobehavioral basis of the food choices, eating styles and motivation processes (31, 32). And third, to improve treatment effectiveness with new therapy interventions, which combine neurobiological techniques with other psychological therapies (such as cognitive-behavioral treatments) (33, 34). These procedures have been developed with the aim to modify neural plasticity of food-related brain functions implied in the onset and severity of the unappropiated learned behaviors, and therefore to restore and/or optimize healthy cognitions and eating habits. Currently, diverse neurophysiological interventions have been tested as encouraging experimental treatment tools, including functional magnetic resonance imaging (fMRI), pharmacogenetic fMRI, real-time fMRI neurofeedback, positron emission tomography (PET), single photon emission computed tomography (SPECT), repetitive transcranial magnetic stimulation (rTMS), transcranial direct-current stimulation (tDCS), and functional near-infrared spectroscopy (fNIRS).
The aim of this Research Topic is to provide new empirical evidence regarding the underlying triggers of ED and OB. The study of Liu et al. identified targets of fucoidan for treating perfluorooctanoic acid associated obesity through the regulation of endoplasmic reticulum stress, using different systematic analytical procedures (such as network pharmacologic and bioinformatics). Zhang et al. assessed the swallowing function of patients with acute ischemic stroke and next developed a prognostic model for the need for nasogastric tube. The cross-sectional analysis conducted by Ribeiro et al. examined the association between the altered sweet taste perception (i.e., intensity and pleasantness ratings of sour, salt, sweet and bitter tastants, and taste thresholds assessed by electrogustometry) with obesity. Finally, Janssen et al. carried out a controlled-randomized trial employed magnètic resonance imaging to assess the impact of a mindful eating intervention (with a duration of 8-weeks) on striatal reward anticipation response. Overall, the results obtained in these studies coud be particularly useful for developing reliable assessment tools and evidence-based intervention plans (focused on the individual needs of patients, from a multidisciplinary perspective) and necessary to reduce the burden of disease.
Author contributions
FF-A: Writing—original draft, Writing—review and editing. RG: Writing—original draft, Writing—review and editing. SJ-M: Writing—original draft, Writing—review and editing.
Funding
This research was funded by Instituto de Salud Carlos III (ISCIII) (FIS PI20/00132) and co-funded by FEDER funds/European Regional Development Fund (ERDF), a way to build Europe. CIBERobn is an initiative of ISCIII. This work was additionally supported by a grant from the Ministerio de Ciencia, Innovación y Universidades (grant RTI2018-101837-B-100), the Delegación del Gobierno para el Plan Nacional sobre Drogas (2019I47 and 2021I031). This study was also funded by European Union's Horizon 2020 research and innovation program under grant agreement no. 847879 (PRIME/H2020, Prevention and Remediation of Insulin Multimorbidity in Europe). Additional funding was received from AGAUR-Generalitat de Catalunya (2021-SGR-00824). RG was supported by the Catalan Institution for Research and Advanced Studies (ICREA-Academia, 2021-Programme). The funders had no role in the design of the study, in the interpretation of data, and in the writing of the manuscript or in the decision to publish the results.
Acknowledgments
We thank CERCA Programme/Generalitat de Catalunya for institutional support. We also thank Instituto de Salud Carlos III (ISCIII), CIBERobn (an initiative of ISCIII), FEDER funds/European Regional Development Fund (ERDF), and a way to build Europe and European Social Fund (ESF, investing in your future).
Conflict of interest
FF-A and SJ-M received consultancy honoraria from Novo Nordisk. FF-A received editorial honoraria as EIC fromWiley.
The remaining author declares that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Publisher's note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
References
1. American Psychiatric Association. Diagnostic and Statistical Manual of Mental Disorders, 5th ed. Arlington, VA: American Psychiatric Publishing (2013). doi: 10.1176/appi.books.9780890425596
2. Treasure J, Duarte TA, Schmidt U. Eating disorders. Lancet. (2020) 395:899–911. doi: 10.1016/S0140-6736(20)30059-3
3. Filipponi C, Visentini C, Filippini T, Cutino A, Ferri P, Rovesti S, Latella E, Di Lorenzo R. The follow-up of eating disorders from adolescence to early adulthood: a systematic review. Int J Environ Res Public Health. (2022) 19:16237. doi: 10.3390/ijerph192316237
4. Tan EJ, Raut T, Le LK, Hay P, Ananthapavan J, Lee YY, et al. The association between eating disorders and mental health: an umbrella review. J Eat Disord. (2023) 11:51. doi: 10.1186/s40337-022-00725-4
5. Galmiche M, Déchelotte P, Lambert G, Tavolacci MP. Prevalence of eating disorders over the 2000–2018 period: a systematic literature review. Am J Clin Nutr. (2019) 109:1402–13. doi: 10.1093/ajcn/nqy342
6. World Health Organization. Obesity. Geneva: WHO (2021). Available online at: https://www.who.int/news-room/facts-in-pictures/detail/6-facts-on-obesity (accessed August 8, 2023).
7. Marti A. Ultra-processed foods are not “real food” but really affect your health. Nutrients. (2019) 11:10–2. doi: 10.3390/nu11081902
8. Rico-Campà A, Martínez-González MA, Alvarez-Alvarez I, Mendonça RD, de la Fuente-Arrillaga C, Gómez-Donoso C, et al. Association between consumption of ultra-processed foods and all cause mortality: SUN prospective cohort study. BMJ. (2019) 365:11949. doi: 10.1136/bmj.l1949
9. Bullivant B, Denham AR, Stephens C, Olson RE, Mitchison D, Gill T, et al. Elucidating knowledge and beliefs about obesity and eating disorders among key stakeholders: paving the way for an integrated approach to health promotion. BMC Public Health. (2019) 19:1681. doi: 10.1186/s12889-019-7971-y
10. Obeid N, Flament MF, Buchholz A, Henderson KA, Schubert N, Tasca G, et al. Examining shared pathways for eating disorders and obesity in a community sample of adolescents: the REAL study. Front Psychol. (2022) 13:805596. doi: 10.3389/fpsyg.2022.805596
11. Macpherson-Sánchez AE. Integrating fundamental concepts of obesity and eating disorders: implications for the obesity epidemic. Am J Public Health. (2015) 105:e71–85. doi: 10.2105/AJPH.2014.302507
12. Bartholdy S, Dalton B, O'Daly OG, Campbell IC, Schmidt U. A systematic review of the relationship between eating, weight and inhibitory control using the stop signal task. Neurosci Biobehav Rev. (2016) 64:35–62. doi: 10.1016/j.neubiorev.2016.02.010
13. D'Ardenne K, Savage CR, Small D, Vainik U, Stoeckel LE. Core neuropsychological measures for obesity and diabetes trials: initial report. Front Psychol. (2020) 11:554127. doi: 10.3389/fpsyg.2020.554127
14. Hawkins MAW, Keirns NG, Baraldi AN, Layman HM, Stout ME, Smith CE, et al. Baseline associations between biomarkers, cognitive function, and self-regulation indices in the Cognitive and Self-regulatory Mechanisms of Obesity Study. Obesity Sci Pract. (2021) 7:669–81. doi: 10.1002/osp4.537
15. Lavagnino L, Arnone D, Cao B, Soares JC, Selvaraj S. Inhibitory control in obesity and binge eating disorder: a systematic review and meta-analysis of neurocognitive and neuroimaging studies. Neurosci Biobehav Rev. (2016) 68:714–26. doi: 10.1016/j.neubiorev.2016.06.041
16. Miranda-Olivos R, Testa G, Lucas I, Sánchez I, Sánchez-González J, Granero R, et al. Clinical factors predicting impaired executive functions in eating disorders: the role of illness duration. J Psychiatr Res. (2021) 144:87–95. doi: 10.1016/j.jpsychires.2021.09.042
17. Butryn ML, Martinelli MK, Remmert JE, Roberts SR, Zhang F, Forman EM, et al. Executive functioning as a predictor of weight loss and physical activity outcomes. Ann Behav Med. (2019) 53:909–17. doi: 10.1093/abm/kaz001
18. Gunstad J, Sanborn V, Hawkins M. Cognitive dysfunction is a risk factor for overeating and obesity. Am Psychol. (2020) 75:219–34. doi: 10.1037/amp0000585
19. Kaidesoja M, Cooper Z, Fordham B. Cognitive behavioral therapy for eating disorders: a map of the systematic review evidence base. Int J Eat Disord. (2023) 56:295–313. doi: 10.1002/eat.23831
20. Linardon J, Wade TD, de la Piedad Garcia X, Brennan L. The efficacy of cognitive-behavioral therapy for eating disorders: a systematic review and meta-analysis. J Consult Clin Psychol. (2017) 85:1080–94. doi: 10.1037/ccp0000245
21. Testa G, Granero R, Misiolek A, Vintró-Alcaraz C, Mallorqui-Bagué N, Lozano-Madrid M, et al. Impact of impulsivity and therapy response in eating disorders from a neurophysiological, personality and cognitive perspective. Nutrients. (2022) 14:5011. doi: 10.3390/nu14235011
22. Val-Laillet D, Aarts E, Weber B, Ferrari M, Quaresima V, Stoeckel LE, et al. Neuroimaging and neuromodulation approaches to study eating behavior and prevent and treat eating disorders and obesity. Neuroimage Clin. (2015) 8:1–31. doi: 10.1016/j.nicl.2015.03.016
23. Cerasa A, Castiglioni I, Salvatore C, Funaro A, Martino I, Alfano S, et al. Biomarkers of eating disorders using support vector machine analysis of structural neuroimaging data: preliminary results. Behav Neurol. (2015) 2015:924814. doi: 10.1155/2015/924814
24. Frintrop L, Trinh S, Liesbrock J, Leunissen C, Kempermann J, Etdöger S, et al. The reduction of astrocytes and brain volume loss in anorexia nervosa: the impact of starvation and refeeding in a rodent model. Transl Psychiatry. (2019) 9:159. doi: 10.1038/s41398-019-0493-7
25. Skowron K, Kurnik-Łucka M, Dadański E, Betkowska-Korpała B, Gil K. Backstage of eating disorder-about the biological mechanisms behind the symptoms of anorexia nervosa. Nutrients. (2020) 12:2604. doi: 10.3390/nu12092604
26. Gisbert Cury ME, Berberian A, Sini Scarpato B, Kerr-Gaffney J, Santos FH, Medeiros Claudino A. Scrutinizing domains of executive function in binge eating disorder: a systematic review and meta-analysis. Front Psychiatry. (2020) 11:288:1–15. doi: 10.3389/fpsyt.2020.00288
27. Marsh R, Stefan M, Bansal R, Hao X, Walsh BT, Peterson BS. Anatomical characteristics of the cerebral surface in bulimia nervosa. Biol Psychiatry. (2015) 77:616–23. doi: 10.1016/j.biopsych.2013.07.017
28. Prunell-Castañé A, Jurado MÁ, García-García I. Clinical binge eating, but not uncontrolled eating, is associated with differences in executive functions: evidence from meta-analytic findings. Addict Behav Rep. (2021) 13:100337. doi: 10.1016/j.abrep.2020.100337
29. Le LK-D, Barendregt JJ, Hay P, Mihalopoulos C. Prevention of eating disorders: a systematic review and meta-analysis. Clin Psychol Rev. (2017) 53:46–58. doi: 10.1016/j.cpr.2017.02.001
30. López Siguero J, Ramon-Krauel M, Pérez López G, Buiza Fernández M, Assaf Balut C, Fernández-Aranda F. Attitudes, behaviors, and barriers among adolescents living with obesity, caregivers, and healthcare professionals in Spain: ACTION Teens Survey Study. Nutrients. (2023) 15:3005. doi: 10.3390/nu15133005
31. Agüera Z, Lozano-Madrid M, Mallorquí-Bagué N, Jiménez-Murcia S, Menchón JM, Fernández-Aranda F, et al. review of binge eating disorder and obesity. Neuropsychiatrie. (2021) 35:57–67. doi: 10.1007/s40211-020-00346-w
32. Ermel Córdova M, Cesa Schiavon C, Michielin Busnello F, Tozzi Reppold C. Nutritional and neuropsychological profile of the executive functions on binge eating disorder in obese adults. Nutr Hosp. (2017) 34:1448–54. doi: 10.20960/nh.1151
33. Chami R, Treasure J, Cardi V, Lozano-Madrid M, Eichin KN, McLoughlin G, et al. Exploring changes in event-related potentials after a feasibility trial of inhibitory training for bulimia nervosa and binge eating disorder. Front Psychol. (2020) 11:1056. doi: 10.3389/fpsyg.2020.01056
Keywords: neurological, psychological, endocrine, eating disorders, obesity
Citation: Fernández-Aranda F, Granero R and Jiménez-Murcia S (2023) Editorial: Neurological, psychological and endocrine markers of eating disorders and obesity. Front. Nutr. 10:1289370. doi: 10.3389/fnut.2023.1289370
Received: 05 September 2023; Accepted: 03 October 2023;
Published: 13 October 2023.
Approved by:
Reza Rastmanesh, American Physical Society, United StatesCopyright © 2023 Fernández-Aranda, Granero and Jiménez-Murcia. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Fernando Fernández-Aranda, ZmZlcm5hbmRleiYjeDAwMDQwO2JlbGx2aXRnZWhvc3BpdGFsLmNhdA==