A cardiometabolic perspective on post-exertional malaise in myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) and Long COVID

Abstract:

Post-exertional malaise (PEM), the defining feature of myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS), is increasingly recognized in individuals with Long COVID. Although traditionally viewed as symptom exacerbation and/or emergence of new symptoms following exertion, PEM may reflect disrupted coordination across interconnected physiological systems operating over distinct post-exertional timescales. Such disruption may result in altered post-exertional physiological trajectories that contribute to multisystem manifestations and potential cardiometabolic consequences.

This perspective outlines a conceptual approach for investigating PEM through longitudinal assessment of post-exertional physiological trajectories while considering disease severity and underlying cardiometabolic health, including obesity and type 2 diabetes. Integrating these dimensions may help contextualize post-exertional responses, inform future longitudinal cardiometabolic profiling, facilitate patient stratification, and provide a framework for future mechanistic and interventional studies in ME/CFS and Long COVID.

Source: Westermeier F, Pretorius E, Untersmayr E, Bertinat R, Sepúlveda N, Fisman E. A cardiometabolic perspective on post-exertional malaise in myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) and Long COVID. Cardiovasc Diabetol. 2026 Aug 20;25(1):250. doi: 10.1186/s12933-026-03316-8. PMID: 42625219. https://link.springer.com/article/10.1186/s12933-026-03316-8 (Full text)

Functional and internalizing disorders co-aggregate with cardiometabolic and immune-related diseases within families: a population-based cohort study

Abstract:

Background: Functional disorders share familial risk with internalizing disorders such as generalized anxiety disorder and depression, and are comorbid with cardiometabolic and immune-related diseases. We investigated whether functional and internalizing disorders co-aggregate with these diseases in families to gain insight into the aetiology of functional and internalizing disorders.

Methods: We included 166,774 subjects (aged 3-94), from the population-based Lifelines Cohort Study, a Dutch general population cohort. We defined cases for three functional disorders (myalgic encephalomyelitis/chronic fatigue syndrome; ME/CFS, fibromyalgia, and irritable bowel syndrome; IBS), two internalizing disorders (major depressive disorder; MDD and generalized anxiety disorder; GAD), cardiometabolic diseases (obesity, metabolic associated steatotic liver disease, type 2 diabetes, hypertension and cardiovascular disease) and immune-related diseases (composite measures of auto-immune disease and atopy). We used logistic regression to model the prevalence of these disorders in the general population and in participants with affected relatives. Using these prevalence estimates, we assessed familial co-aggregation with (1) recurrence risk ratios (λR), and (2) familial correlations (rf).

Results: All functional and internalizing disorders co-aggregated with immune-related diseases (λR range 1.06-1.24). ME/CFS, FM, and MDD co-aggregated with most cardiometabolic diseases (λR range 1.00-1.23). MDD, fibromyalgia, and ME/CFS showed similar familial correlation patterns with both disease groups (rf range 0.12-0.44), while patterns of IBS and GAD were more variable.

Conclusions: Internalizing and functional disorders share familial risk with immune-related and cardiometabolic diseases. This suggests that risk factors relevant to immune-related and cardiometabolic diseases may also be relevant for FDs. Future studies should investigate such risk factors to identify novel treatment targets.

Source: Steen OD, Bos M, van Ockenburg SL, Zhou Y, Nolte IM, Snieder H, Kendler K, Rosmalen JGM, van Loo HM. Functional and internalizing disorders co-aggregate with cardiometabolic and immune-related diseases within families: a population-based cohort study. BMC Med. 2025 Aug 11;23(1):469. doi: 10.1186/s12916-025-04293-7. PMID: 40784894. https://bmcmedicine.biomedcentral.com/articles/10.1186/s12916-025-04293-7 (Full text)