Skip to main content

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

  • Systematic Review
  • Published:

Neuroendocrine signature of ME/CFS: Meta-analytic evidence for bioactive cortisol deficit and exaggerated feedback sensitivity

Abstract

Myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) is a major clinical challenge as a complex multisystemic disorder with no well-established pathophysiological mechanism, characterized by persistent fatigue and post-exertional malaise, along with unrefreshing sleep, cognitive impairment, and impaired stress recovery. Despite decades of investigation into the hypothalamic-pituitary-adrenal (HPA) axis, a definitive neuroendocrine hallmark has remained elusive due to inconsistent findings across various cortisol matrices. Therefore, this systematic review and meta-analysis aimed to provide an integrated understanding of HPA-axis regulation in ME/CFS. We identified 46 case–control studies (comprising 46 independent datasets, including 12 pharmacological challenge studies), involving 1388 ME/CFS patients (71.9% female; mean age 37.3 ± 6.2 years) and 1349 matched healthy controls. Meta-analyses showed lower salivary cortisol at awakening and in the morning. Reductions were also observed in 24-h urinary cortisol and hair cortisol. In pharmacological challenge tests, patients exhibited impaired cortisol release in response to adrenocorticotropic hormone (ACTH) stimulation and exaggerated suppression following glucocorticoid administration. Collectively, these alterations indicate reduced free cortisol availability and enhanced HPA-axis negative feedback sensitivity, consistent with a hyporeactive endocrine state in ME/CFS. This neuroendocrine hypo-reactivity may underlie hallmark clinical features such as unrefreshing sleep, post-exertional malaise, and severe fatigue, as well as cognitive slowing, emotional blunting, and diminished stress resilience frequently observed in ME/CFS and related functional disorders. Integrating neuroendocrine and psychological perspectives may help clarify mechanisms of chronic stress maladaptation and inform psychobiological interventions for fatigue syndromes.

This is a preview of subscription content, access via your institution

Access options

Buy this article

USD 39.95

Prices may be subject to local taxes which are calculated during checkout

Fig. 1: PRISMA flow diagram of study selection process.
The alternative text for this image may have been generated using AI.
Fig. 2: Meta-analysis of relative total blood cortisol levels in ME/CFS patients compared with healthy controls.
The alternative text for this image may have been generated using AI.
Fig. 3: Meta-analysis of relative salivary free cortisol levels in ME/CFS patients compared with healthy controls.
The alternative text for this image may have been generated using AI.
Fig. 4: Meta-analysis of relative free cortisol levels from 24-hour urine and hair in ME/CFS patients compared with healthy controls.
The alternative text for this image may have been generated using AI.
Fig. 5: Meta-analysis of relative HPA-axis hormone responses to challenge tests in ME/CFS patients compared with healthy controls.
The alternative text for this image may have been generated using AI.
Fig. 6: Meta-analysis of negative feedback regulation of cortisol and proposed model of ME/CFS pathophysiology.
The alternative text for this image may have been generated using AI.

Similar content being viewed by others

Data availability

The corresponding author makes available data extracted from the included studies, along with the R scripts used for the meta-analyses, upon reasonable request. The shared materials include all outcome data used to calculate effect sizes (log response ratios, lnRR) and heterogeneity statistics. Data will be available immediately after publication with no end date and may be provided to qualified researchers for methodologically sound proposals. No individual participant data were collected or analyzed in this study.

References

  1. Marino FE, Sibson BE, Lieberman DE. The evolution of human fatigue resistance. J Comp Physiol B. 2022;192:411–22.

    Article  PubMed  PubMed Central  Google Scholar 

  2. Raizen DM, Mullington J, Anaclet C, Clarke G, Critchley H, Dantzer R, et al. Beyond the symptom: the biology of fatigue. Sleep. 2023;46:zsad069.

    Article  PubMed  PubMed Central  Google Scholar 

  3. Jason LA, Evans M, Brown M, Porter N. What is fatigue? Pathological and nonpathological fatigue. PM&R. 2010;2:327–31.

    Article  Google Scholar 

  4. Al Maqbali M, Al Sinani M, Al Naamani Z, Al Badi K, Tanash. MaI. Prevalence of fatigue in patients with cancer: a systematic review and meta-analysis. J Pain Symptom Manage. 2021;61:167–89.e114.

    Article  PubMed  Google Scholar 

  5. Populations BotHoS, Syndrome CotDCfMECF. Beyond myalgic encephalomyelitis/chronic fatigue syndrome: redefining an illness. National Academies Press: Washington, DC; 2015.

    Google Scholar 

  6. Pendergrast T, Brown A, Sunnquist M, Jantke R, Newton JL, Strand EB, et al. Housebound versus nonhousebound patients with myalgic encephalomyelitis and chronic fatigue syndrome. Chronic Illn. 2016;12:292–307.

    Article  PubMed  PubMed Central  Google Scholar 

  7. König RS, Paris DH, Sollberger M, Tschopp R. Identifying the mental health burden in Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS) patients in Switzerland: A pilot study. Heliyon. 2024;10:e27031.

    Article  PubMed  PubMed Central  Google Scholar 

  8. Lim E-J, Ahn Y-C, Jang E-S, Lee S-W, Lee S-H, Son C-G. Systematic review and meta-analysis of the prevalence of chronic fatigue syndrome/myalgic encephalomyelitis (CFS/ME). J Transl Med. 2020;18:100.

    Article  PubMed  PubMed Central  Google Scholar 

  9. Johnston S, Brenu EW, Staines D, Marshall-Gradisnik S The prevalence of chronic fatigue syndrome/myalgic encephalomyelitis: a meta-analysis. Clin Epidemiol 2013:105-10.

  10. ME/CFS Basics. https://www.cdc.gov/me-cfs/about/index.html, 2024, Accessed Date Accessed 2024 Accessed.

  11. Arron HE, Marsh BD, Kell DB, Khan MA, Jaeger BR, Pretorius E. Myalgic Encephalomyelitis/Chronic Fatigue Syndrome: the biology of a neglected disease. Front Immunol. 2024;15:1386607.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  12. Marshall-Gradisnik S, Eaton-Fitch N. Understanding myalgic encephalomyelitis. Science. 2022;377:1150–1.

    Article  CAS  PubMed  Google Scholar 

  13. Cleare AJ. The neuroendocrinology of chronic fatigue syndrome. Endocr Rev. 2003;24:236–52.

    Article  CAS  PubMed  Google Scholar 

  14. Papadopoulos AS, Cleare AJ. Hypothalamic–pituitary–adrenal axis dysfunction in chronic fatigue syndrome. Nat Rev Endocrinol. 2012;8:22–32.

    Article  CAS  Google Scholar 

  15. McEwen BS. Protective and damaging effects of stress mediators. N Engl J Med. 1998;338:171–9.

    Article  CAS  PubMed  Google Scholar 

  16. MacHale S, Cavanagh J, Bennie J, Carroll S, Goodwin G, Lawrie S. Diurnal variation of adrenocortical activity in chronic fatigue syndrome. Neuropsychobiology. 1998;38:213–7.

    Article  CAS  PubMed  Google Scholar 

  17. Crofford LJ, Young EA, Engleberg NC, Korszun A, Brucksch CB, McClure LA, et al. Basal circadian and pulsatile ACTH and cortisol secretion in patients with fibromyalgia and/or chronic fatigue syndrome. Brain Behav Immun. 2004;18:314–25.

    Article  CAS  PubMed  Google Scholar 

  18. Hall DL, Lattie EG, Antoni MH, Fletcher MA, Czaja S, Perdomo D, et al. Stress management skills, cortisol awakening response, and post-exertional malaise in chronic fatigue syndrome. Psychoneuroendocrinology. 2014;49:26–31.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  19. Young AH, Sharpe M, Clements A, Dowling B, Hawton KE, Cowen PJ. Basal activity of the hypothalamic-pituitary-adrenal axis in patients with the chronic fatigue syndrome (neurasthenia). Biol Psychiatry. 1998;43:236–7.

    Article  CAS  PubMed  Google Scholar 

  20. Di Giorgio A, Hudson M, Jerjes W, Cleare AJ. 24-hour pituitary and adrenal hormone profiles in chronic fatigue syndrome. Psychosom Med. 2005;67:433–40.

    Article  PubMed  Google Scholar 

  21. Cadegiani FA, Kater CE. Adrenal fatigue does not exist: a systematic review. BMC Endocr Disord. 2016;16:48.

    Article  PubMed  PubMed Central  Google Scholar 

  22. Vroegindeweij A, Eijkelkamp N, van den Berg SA, van de Putte EM, Wulffraat NM, Swart JF, et al. Lower hair cortisol concentration in adolescent and young adult patients with Myalgic Encephalomyelitis/Chronic Fatigue Syndrome and Q-Fever Fatigue Syndrome compared to controls. Psychoneuroendocrinology. 2024;168:107117.

    Article  CAS  PubMed  Google Scholar 

  23. Bhake RC, Kluckner V, Stassen H, Russell GM, Leendertz J, Stevens K, et al. Continuous free cortisol profiles—circadian rhythms in healthy men. J Clin Endocrinol Metab. 2019;104:5935–47.

    Article  CAS  PubMed  Google Scholar 

  24. O’Byrne NA, Yuen F, Butt WZ, Liu PY. Sleep and circadian regulation of cortisol: a short review. Curr Opin Endocr Metab Res. 2021;18:178–86.

    Article  PubMed  PubMed Central  Google Scholar 

  25. Ross KM, Murphy ML, Adam EK, Chen E, Miller GE. How stable are diurnal cortisol activity indices in healthy individuals? Evidence from three multi-wave studies. Psychoneuroendocrinology. 2014;39:184–93.

    Article  CAS  PubMed  Google Scholar 

  26. Segerstrom SC, Boggero IA, Smith GT, Sephton SE. Variability and reliability of diurnal cortisol in younger and older adults: implications for design decisions. Psychoneuroendocrinology. 2014;49:299–309.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  27. Deeks JJHJ, Altman DG Analysing data and undertaking meta-analyses. In: Higgins JPT TJ, Chandler J, Cumpston M, Li T, Page MJ, Welch VA (ed). Cochrane Handbook for Systematic Reviews of Interventions. London: Cochrane, 2022.

  28. Mohamed AZ, Andersen T, Radovic S, Del Fante P, Kwiatek R, Calhoun V, et al. Objective sleep measures in chronic fatigue syndrome patients: A systematic review and meta-analysis. Sleep Med Rev. 2023;69:101771.

    Article  PubMed  PubMed Central  Google Scholar 

  29. Pulopulos MM, Hidalgo V, Puig-Perez S, Montoliu T, Salvador A. Relationship between cortisol changes during the night and subjective and objective sleep quality in healthy older people. Int J Environ Res Public Health. 2020;17:1264.

    Article  PubMed  PubMed Central  Google Scholar 

  30. Dziurkowska E, Wesolowski M. Cortisol as a biomarker of mental disorder severity. J Clin Med. 2021;10:5204.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  31. Buss C, Schuelter U, Hesse J, Moser D, Phillips D, Hellhammer D, et al. Haploinsufficiency of the SERPINA6 gene is associated with severe muscle fatigue: A de novo mutation in corticosteroid-binding globulin deficiency. J Neural Transm. 2007;114:563–9.

    Article  CAS  PubMed  Google Scholar 

  32. Torpy DJ, Bachmann AW, Gartside M, Grice JE, Harris J, Clifton P, et al. Association between chronic fatigue syndrome and the corticosteroid‐binding globulin gene ALA SER224 polymorphism. Endocr Res. 2004;30:417–29.

    Article  CAS  PubMed  Google Scholar 

  33. Chan WL, Carrell RW, Zhou A, Read RJ. How changes in affinity of corticosteroid-binding globulin modulate free cortisol concentration. J Clin Endocrinol Metab. 2013;98:3315–22.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  34. Kennedy G, Spence V, Underwood C, Belch J. Increased neutrophil apoptosis in chronic fatigue syndrome. J Clin Pathol. 2004;57:891–3.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  35. Brenu EW, Staines DR, Baskurt OK, Ashton KJ, Ramos SB, Christy RM, et al. Immune and hemorheological changes in chronic fatigue syndrome. J Transl Med. 2010;8:1.

    Article  PubMed  PubMed Central  Google Scholar 

  36. Montoya JG, Holmes TH, Anderson JN, Maecker HT, Rosenberg-Hasson Y, Valencia IJ, et al. Cytokine signature associated with disease severity in chronic fatigue syndrome patients. Proc Natl Acad Sci. 2017;114:E7150–E7158.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  37. Shen L, Smith J, Shen Z, Eriksson M, Sentman C, Wira C. Inhibition of human neutrophil degranulation by transforming growth factor-β1. Clin Exp Immunol. 2007;149:155–61.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  38. Ring M. An integrative approach to HPA axis dysfunction: From recognition to recovery. Am J Med. 2025.

  39. Jameson D. Persistent Burnout Theory of Chronic Fatigue Syndrome. Neuroscience and Medicine 2016;7:66–73.

  40. Cleare AJ, Heap E, Malhi GS, Wessely S, O’Keane V, Miell J. Low-dose hydrocortisone in chronic fatigue syndrome: a randomised crossover trial. Lancet. 1999;353:455–8.

    Article  CAS  PubMed  Google Scholar 

  41. Mckenzie R, O’Fallon A, Dale J, Demitrack M, Sharma G, Deloria M, et al. Low‐Dose hydrocortisone for treatment of chronic fatigue syndrome: a randomized controlled trial. J Am Acad Child Adolesc Psychiatry. 1999;38:633–4.

    Article  Google Scholar 

  42. De Kloet ER, Vreugdenhil E, Oitzl MS, Joëls M. Brain corticosteroid receptor balance in health and disease. Endocr Rev. 1998;19:269–301.

    PubMed  Google Scholar 

  43. Cleare AJ. The HPA axis and the genesis of chronic fatigue syndrome. Trends Endocrinol Metab. 2004;15:55–9.

    Article  CAS  PubMed  Google Scholar 

  44. Meyer JD, Light AR, Shukla SK, Clevidence D, Yale S, Stegner AJ, et al. Post-exertion malaise in chronic fatigue syndrome: symptoms and gene expression. Fatigue: Biomed Health Behav. 2013;1:190–209.

    Google Scholar 

  45. Jacobson L, Sapolsky R. The role of the hippocampus in feedback regulation of the hypothalamic-pituitary-adrenocortical axis. Endocr Rev. 1991;12:118–34.

    Article  CAS  PubMed  Google Scholar 

  46. Thapaliya K, Marshall-Gradisnik S, Eaton-Fitch N, Barth M, Inderyas M, Barnden L. Hippocampal subfield volume alterations and associations with severity measures in long COVID and ME/CFS: A 7T MRI study. PLoS ONE. 2025;20:e0316625.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  47. Nakatomi Y, Mizuno K, Ishii A, Wada Y, Tanaka M, Tazawa S, et al. Neuroinflammation in patients with chronic fatigue syndrome/myalgic encephalomyelitis: an 11C-(R)-PK11195 PET study. J Nucl Med. 2014;55:945–50.

    Article  CAS  PubMed  Google Scholar 

  48. Gaab J, Engert V, Heitz V, Schad T, Schürmeyer TH, Ehlert U. Associations between neuroendocrine responses to the Insulin Tolerance Test and patient characteristics in chronic fatigue syndrome. J Psychosom Res. 2004;56:419–24.

    Article  PubMed  Google Scholar 

  49. Bearn J, Allain T, Coskeran P, Munro N, Butler J, McGregor A, et al. Neuroendocrine responses to d-fenfluramine and insulin-induced hypoglycemia in chronic fatigue syndrome. Biol Psychiatry. 1995;37:245–52.

    Article  CAS  PubMed  Google Scholar 

  50. Lloyd AR, Hickie I, Boughton CR, Wakefield D, Spencer O. Prevalence of chronic fatigue syndrome in an Australian population. Med J Aust. 1990;153:522–8.

    Article  CAS  PubMed  Google Scholar 

  51. Fernandez-Real J-M, Pugeat M, Grasa M, Broch M, Vendrell J, Brun J, et al. Serum corticosteroid-binding globulin concentration and insulin resistance syndrome: a population study. J Clin Endocrinol Metab. 2002;87:4686–90.

    Article  CAS  PubMed  Google Scholar 

Download references

Funding

This research was supported by National Research Foundation of Korea (NRF) grants funded by the Ministry of Science, ICT & Future Planning (NRF-2018R1A6A1A03025221).

Author information

Authors and Affiliations

Authors

Contributions

T.W.W. contributed to conceptualization, data curation, investigation, formal analysis, visualization, and drafting of the manuscript. Y.J.C. contributed to data curation, validation, and manuscript editing. J.Y.K. reviewed the meta-analytic procedures and cortisol data conversion. J.S.L. supervised the study design, provided methodological oversight, and critically revised the manuscript. C.G.S. supervised the project and contributed to interpretation of the findings. All authors had full access to the data in the study, take responsibility for the integrity of the data and the accuracy of the analyses, and approved the final version of the manuscript.

Corresponding authors

Correspondence to Jin-Seok Lee or Chang-Gue Son.

Ethics declarations

Competing interests

The authors declare no competing interests.

Additional information

Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary information

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Woo, TW., Choi, YJ., Kim, JY. et al. Neuroendocrine signature of ME/CFS: Meta-analytic evidence for bioactive cortisol deficit and exaggerated feedback sensitivity. Mol Psychiatry (2026). https://doi.org/10.1038/s41380-026-03608-1

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Version of record:

  • DOI: https://doi.org/10.1038/s41380-026-03608-1

Search

Quick links