Tag: review

Systems neuroendocrinology in ME/CFS and long COVID: a chronobiological framework for hormone-based research

Abstract:

Hormonal dysregulation is increasingly reported in ME/CFS and Long COVID, yet the broader role of neuroendocrine disruption in these conditions remains underexplored. While changes in steroid, peptide, and neuropeptide hormones have been identified, these findings are often considered in isolation and without attention to their timing or integration within broader physiological systems. The hypothalamic-pituitary axes regulate endocrine, immune, autonomic, nervous, and metabolic functions, systems commonly affected in both conditions, yet their circadian and menstrual dynamics are rarely investigated.

In this review, we examine the evidence for neuroendocrine dysfunction in ME/CFS and Long COVID, focusing on hormone output, functional assays, receptor expression, and the coordination of endocrine biorhythms. Sex hormone signalling emerges as a key area of vulnerability, particularly given the female predominance in both conditions and the complexity of reproductive hormone regulation.

We argue that accurate hormone measurement and time-structured sampling, including circadian and menstrual rhythms, are essential for detecting meaningful biological differences. By embedding chronobiology-aware, dense-sampling strategies and integrating multi-omic analyses into multi-system study designs, we outline a framework for investigating dynamic endocrine mechanisms underlying symptom variability and multisystem dysfunction, which may ultimately support the development of more targeted, personalised interventions.

Source: Thomas N, Huang K, Schneider-Futschik EK, Pollack B, Tal MC, Fineberg D, Wang X, Gurvich C, Pretorius R, Bergquist J, Armstrong CW. Systems neuroendocrinology in ME/CFS and long COVID: a chronobiological framework for hormone-based research. Front Neuroendocrinol. 2026 Jun 19:101268. doi: 10.1016/j.yfrne.2026.101268. Epub ahead of print. PMID: 42320559. https://www.sciencedirect.com/science/article/abs/pii/S0091302226000385 (Full text)

Stigmatisation in Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS) – a scoping review

Abstract:
Objective: Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS) is a severe chronic, multi-systemic disease characterised by post-exertional malaise (PEM), cognitive impairments and pain. There is no curative treatment yet. Stigmatisation is prevalent in several chronic illnesses, impacting patients’ quality of life and health outcomes. This review aims to examine the types and effects of stigmatisation experienced by individuals with ME/CFS.
Methods: This scoping review followed the PRISMA-ScR guidelines. A systematic literature search was  executed across six electronic databases, complemented by citation searching. The screening was performed independently by two researchers.
Results: We included 44 studies in this review. The most commonly assessed type of stigma was  perceived stigma (n = 7); however, the majority of studies (n = 33) did not specify the type of stigma assessed. Our findings showed that not only individuals with ME/CFS can be affected by stigmatisation, but also people in their social circles such as friends and family members. Stigmatisation was reported in various areas of life, but the most frequently identified issue were stigmatising experiences by healthcare professionals such as physicians. Stigmatisation was found to contribute to poorer health outcomes, delays in diagnosis, and broader personal and societal consequences.
Conclusion: Individuals with ME/CFS can be profoundly affected by stigmatisation. Further research  should investigate experiences of children and (very) severely ill patients. Research is also needed to develop strategies to reduce stigmatisation in healthcare and other settings and to improve the quality  of care for individuals with ME/CFS.
Note: ©American Psychological Association, 2026. This paper is not the copy of record and may not exactly replicate the authoritative document published in the APA journal. The final article is available, upon publication, at: [ARTICLE DOI] Stigmatisation in Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS) – a scoping review
Source: Patricia Vester, Stefanos Boudouroglou-Walter, Chantal Wieting, Prof. Dr. Jonas Schreyögg, Niklas Dammann, Annemarie Feißel, Dr. Katharina Piontek, PD Dr. Christine Blome. Stigmatisation in Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS) – a scoping review. https://www.researchgate.net/publication/406829675_Stigmatisation_in_Myalgic_EncephalomyelitisChronic_Fatigue_Syndrome_MECFS_-_a_scoping_review (Full text)

Dynamic microclot profiling: thromboelastography advances precision management in long COVID and myalgic encephalomyelitis/chronic fatigue syndrome

Abstract:

Long COVID and myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) share overlapping symptoms, and emerging evidence implicates persistent fibrinoid microclots in their pathophysiology, contributing to impaired microcirculation. This review explores the role of microclots and evaluates thromboelastography (TEG) as a potential diagnostic tool.

A comprehensive literature review was conducted using major biomedical databases. Studies indicate microclots are prevalent in both conditions. Long COVID patients demonstrate a TEG profile of increased clot strength (maximum amplitude) and reduced fibrinolysis (LY30), suggesting a persistent hypercoagulable state. Despite its advantages in real-time assessment, TEG interpretation faces challenges from preanalytical variability and a lack of standardized protocols. Promising therapeutic trials, including anticoagulants (e.g., apixaban) and fibrinolytics (e.g., lumbrokinase), require further validation. Technological advancements like AI-driven TEG analysis and portable devices could improve diagnostic precision.

In conclusion, persistent microclots are a key pathophysiological feature. TEG provides a promising, novel approach for detecting coagulation abnormalities and could guide treatment, but requires standardization in future clinical trials. Future research should integrate multiomics biomarkers for precision therapeutics to improve patient outcomes.

Source: Saleem S, Hussain A, Haroon M, Raza A, Afzal U, Anwar MF, Imran S, Iqbal MU, Hajj F. Dynamic microclot profiling: thromboelastography advances precision management in long COVID and myalgic encephalomyelitis/chronic fatigue syndrome. Blood Coagul Fibrinolysis. 2026 Jun 11. doi: 10.1097/MBC.0000000000001439. Epub ahead of print. PMID: 42274123. https://pubmed.ncbi.nlm.nih.gov/42274123/

Immune remodeling and metabolic reprogramming in chronic fatigue: insights into GPCR signaling and epigenetic regulation

Abstract:

Inflammation-driven fatigue is a clinically significant feature of several chronic inflammatory conditions, including myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS), post-COVID condition, autoimmune disease, and cancer-related fatigue. Across these conditions, partially overlapping disturbances in immune regulation, cellular metabolism, and neuroimmune signaling may contribute to persistent fatigue, despite important differences in initiating context and biological substrate. Current evidence implicates mitochondrial dysfunction, altered glycolysis and fatty acid utilization, lactate- and succinate-associated signaling, metabolite-sensing G protein-coupled receptor (GPCR) pathways, epigenetic acylation, and immune remodeling in the maintenance of fatigue.

This narrative review synthesizes both shared and disease-context-specific mechanisms underlying inflammation-associated fatigue, with particular emphasis on immunometabolism, peripheral-central neuroimmune crosstalk, metabolite-GPCR signaling, and epigenetic regulation.

We highlight GPCR signaling as a potentially important regulatory interface in inflammatory and metabolic pathways relevant to fatigue, while recognizing that direct causal evidence in human fatigue syndromes remains limited.

The review also examines how metabolite-mediated epigenetic acylation may influence immune cell function and fatigue-related biology, although this association remains incompletely validated in fatigue-specific settings. By integrating metabolic dysregulation, neuroimmune signaling, and immune dysfunction, this review consolidates current knowledge on candidate biomarkers, mechanistic pathways, and emerging therapeutic targets in chronic inflammation-driven fatigue.

Overall, this review provides a multidimensional framework for understanding fatigue across inflammatory disorders and for guiding future mechanistic and translational research.

Source: Hu Z, Wang J, Ma S, Zhuang J, Shi J, Zhu Y. Immune remodeling and metabolic reprogramming in chronic fatigue: insights into GPCR signaling and epigenetic regulation. Front Immunol. 2026 May 15;17:1806420. doi: 10.3389/fimmu.2026.1806420. PMID: 42220511; PMCID: PMC13218923. https://pmc.ncbi.nlm.nih.gov/articles/PMC13218923/ (Full text)

Low-Dose Naltrexone: What is the Evidence? A Narrative Review

Abstract:

Naltrexone is prescribed off-label at low doses, typically 0.5-6.0 mg, for a variety of therapeutic indications. This review evaluates the clinical evidence for low-dose naltrexone (LDN). A literature search was conducted in February 2026 across PubMed, Embase and CINAHL for studies published from 1989 to 2026.

Title and abstract searches for “low dose naltrexone” identified peer-reviewed English-language studies using doses of ≤ 12.5 mg in humans. A total of 105 studies were reviewed, including 15 randomised controlled trials (RCTs) in chronic pain, autoimmune and neuroimmune disorders, gastrointestinal disease, dermatological conditions, post-infectious syndromes, mental health and oncology.

Across these fields, early positive findings from uncontrolled studies were rarely replicated in placebo-controlled trials. Most available evidence consists of case reports and small feasibility studies that are prone to publication bias and rely heavily on subjective outcomes. LDN is generally safe, inexpensive and well tolerated, with most studies using a daily dose of 4.5 mg.

Although these features contribute to its appeal, current evidence does not support routine clinical use. LDN may have a pragmatic role in treatment-resistant cases where standard therapies have failed, provided its experimental status and uncertain efficacy are clearly explained. Larger, well-designed RCTs with objective endpoints, along with N-of-1 approaches to identify potential responders, are needed to clarify its true clinical value.

Source: Gouda AHK, Aitcheson NEC, Steadman KJ. Low-Dose Naltrexone: What is the Evidence? A Narrative Review. Adv Ther. 2026 Apr 30. doi: 10.1007/s12325-026-03612-5. Epub ahead of print. PMID: 42060160. https://link.springer.com/article/10.1007/s12325-026-03612-5 (Full text)

Omics-based computational approaches for biomarker identification, prediction, and treatment of Long COVID

Abstract:

Long COVID, or post-acute sequelae of COVID-19 (PASC), is a major global health problem, with cumulative estimates suggesting that around 400 million people worldwide have been affected. It is characterized by persistent or new symptoms such as fatigue, cognitive impairment, and breathlessness lasting beyond four weeks after acute infection. Diverse clinical manifestations, chronic course, and incompletely understood pathophysiology-including hypotheses involving viral persistence, immune dysregulation, autoimmunity, endothelial dysfunction, and metabolic reprogramming-impede the development of diagnostic criteria, biomarkers, and targeted therapies. We conducted a critical review of 101 Long COVID omics studies, focusing on the computational methods used and their methodological quality.

Using standardized criteria, we evaluated study design, statistical rigor, reproducibility, and clinical relevance across genomics, epigenomics, transcriptomics, proteomics, metabolomics, and multiomics integration, and mapped these findings onto regulatory and translational frameworks. Despite substantial methodological heterogeneity, convergent biological signals emerged.

Genomic studies implicate risk loci in immune and cardiopulmonary pathways. Epigenomic analyses identify differentially methylated regions in immune and circadian genes. Transcriptomic studies reveal persistent dysregulation of innate immune and coagulation pathways, as well as reproducible molecular endotypes. Proteomic studies consistently show abnormalities in the complement cascade and coagulation, with a small panel of complement proteins showing highly reproducible changes across independent cohorts. Metabolomic studies demonstrate sustained mitochondrial dysfunction and altered cellular bioenergetics for up to two years after infection.

Multiomics integration supports at least two major endotypes, characterized by predominant inflammatory versus metabolic dysregulation, and provides a basis for patient stratification and computational treatment discovery. Machine learning models frequently achieve high classification performance, but are rarely externally validated. Critical limitations restrict clinical translation. Most studies are underpowered relative to analytical complexity, use heterogeneous case definitions and controls, and report platform-specific signatures with limited overlap. External validation, preregistered analysis plans, and regulatory-aligned assay development are uncommon. To date, no regulatory-approved diagnostic assay or evidence-based therapeutic intervention has directly emerged from these computational findings.

Future progress requires harmonized phenotyping protocols, adequately powered longitudinal cohorts with external validation, integration of spatial omics and explainable artificial intelligence, and early engagement with regulatory and health-technology assessment pathways. This review provides a critical assessment and a translational roadmap, outlining how methodologically robust computational omics can be advanced toward clinically actionable tools for Long COVID.

Source: Pinero S, Li X, Zhang J, Winter M, Lee SH, Nguyen T, Liu L, Li J, Le TD. Omics-based computational approaches for biomarker identification, prediction, and treatment of Long COVID. Crit Rev Clin Lab Sci. 2026 Jun;63(4):332-358. doi: 10.1080/10408363.2025.2583083. Epub 2025 Dec 9. PMID: 41368891. https://pubmed.ncbi.nlm.nih.gov/41368891/

Toward a Molecular Reclassification of Myalgic Encephalomyelitis/Chronic Fatigue Syndrome: Integrating Multi-Omics, Machine Learning, and Precision Medicine

Abstract:

Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS) is a complex, multi-system disease characterized by a multitude of symptoms across various organ systems. Diagnosis has relied heavily on heterogeneous clinical symptom presentation and evolving case definitions, with treatment focused on addressing presenting symptoms due to the paucity of validated biomarkers. Meanwhile, advances have been made in understanding the underlying pathophysiology through strong epidemiologic, clinical, and basic science studies. This narrative review synthesizes recent advances that are likely to drive a shift in understanding from symptom-based classification toward a molecularly defined understanding of the disease.

This shift in understanding will likely provide the foundation for future research efforts focused on targeting diagnosis and treatment more effectively. Specifically, we reference the identification of rare genetic risk variants through the HEAL2 deep learning framework, the large-scale DecodeME genome-wide association study, and dynamic epigenetic markers of disease state.

In addition, the findings revealed the downstream consequences of this genetic and epigenetic priming: chronic innate immune activation, CD8+ T cell exhaustion characterized by upregulation of the exhaustion-driving transcription factors Thymocyte Selection-Associated HMG Box (TOX) and Eomesodermin (EOMES), and a cellular energy crisis centered on mitochondrial dysfunction. Furthermore, results of recent studies have revealed sex-specific transcriptomic and proteomic signatures of maladaptive recovery.

We also highlight the role of machine learning and artificial intelligence integrations in translating high-dimensional multi-omics data into actionable biological insights, including the identification of monocyte subsets via Positive Unlabeled Learning, circulating cell-free RNA diagnostic signatures, and integrated multi-modal disease models such as BioMapAI.

The combination of these findings, which highlight multiple identifiable mechanisms of molecular activity, support the feasibility of molecular subtyping, precision diagnostics, and targeted therapeutic strategies for ME/CFS.

Source: Frank J, Nesterovitch N, Movva C, Klimas NG, Nathanson L. Toward a Molecular Reclassification of Myalgic Encephalomyelitis/Chronic Fatigue Syndrome: Integrating Multi-Omics, Machine Learning, and Precision Medicine. Int J Mol Sci. 2026 May 15;27(10):4436. doi: 10.3390/ijms27104436. PMID: 42196410; PMCID: PMC13207433. https://pmc.ncbi.nlm.nih.gov/articles/PMC13207433/ (Full text)

Reframing ME/CFS: toward a unified mechanistic model of chronic post-infectious diseases

Abstract:

Background: Myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) is a severe multisystem illness marked by post-exertional malaise (PEM), cognitive dysfunction, autonomic disturbance, and impaired physiological resilience. Historically, the absence of validated biomarkers, heterogeneous definitions, and limited investigative capacity have complicated mechanistic interpretation and contributed to the use of psychosocial and rehabilitative frameworks in clinical practice and in parts of the literature.

Main body: Advances in systems biology, accelerated by Long-COVID research, have transformed our understanding of post-infectious syndromes, implicating persistent immune dysregulation, mitochondrial and metabolic reprogramming, endothelial and microvascular dysfunction, abnormal coagulation, lipid-mediated signalling, extracellular vesicle communication, and viral protein-associated immune activation. This review charts the shift from early post-infectious observations through psychosocial dominance to contemporary biological frameworks, emphasising that pathology is state-dependent and revealed under physiological stress.

Conclusion: ME/CFS is thus reframed here as a disorder of impaired adaptive capacity within post-infectious disease biology.

Source: Watton P, Prusty BK. Reframing ME/CFS: toward a unified mechanistic model of chronic post-infectious diseases. J Transl Med. 2026 May 22. doi: 10.1186/s12967-026-08319-3. Epub ahead of print. PMID: 42174604. https://link.springer.com/article/10.1186/s12967-026-08319-3 (Full text available as PDF file)

Designing studies for post-treatment Lyme disease and other infection-associated chronic illnesses

Abstract:

Infection-associated chronic illnesses (IACIs) encompass a spectrum of poorly understood syndromes often marked by significant neurologic and multisystem symptoms following an infectious event. This review focuses on several diseases representative of the IACI spectrum. These are post-treatment Lyme disease syndrome (PTLDS), long COVID, myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) and multiple sclerosis (MS). Their clinical and biological complexity, combined with a lack of clear diagnostic criteria and objective available laboratory biomarkers, makes them difficult to distinguish from conditions with overlapping features.

This presents challenges for research studies, as well as diagnosis and clinical management. This diagnostic ambiguity, coupled with heterogeneous patient presentations, has led to challenges in research, including misclassification of study participants and inconsistent or irreproducible findings. Some PTLDS research exemplifies these issues, which also extend to other IACIs.

To advance the field, we highlight key methodological refinements and approaches for studying IACIs, including rigorous participant selection, standardized sample collection protocols, and the use of appropriate control groups, including those with microbiologic proof of the initial infection when known and technologically feasible. We also address broader influences on research quality, such as stigma, historical neglect, and the urgency to find treatments, which have contributed to the proliferation of poorly controlled studies and questionable practices. Drawing lessons from past challenges, we propose a path forward grounded in fit-for-purpose methodological rigour to improve scientific understanding and support evidence-based therapeutic development for IACIs.

Source: Arnaboldi PM, Becker J, Nath A, Coyle PK, Handel A, Sellati TJ, Gomes-Solecki M, Garcet S, Henderson MK, Mullins P, Cowan E, McCombie WR, Wellins AM, Allegretta M, Bergquist J, Schutzer SE. Designing studies for post-treatment Lyme disease and other infection-associated chronic illnesses. Brain. 2026 May 18:awag016. doi: 10.1093/brain/awag016. Epub ahead of print. PMID: 42148664. https://academic.oup.com/brain/advance-article/doi/10.1093/brain/awag016/8586348 (Full text)

Imbalance of Excitatory and Inhibitory Neurotransmitter Systems in Myalgic Encephalomyelitis/Chronic Fatigue Syndrome

Abstract:

Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS) and post-COVID-19 syndrome share a symptom profile, including severe fatigue, cognitive dysfunction, exertional intolerance, sleep disturbances, hypervigilance, and the paradoxical state of being “wired but tired.” A well-established finding is sympathetic hyperactivity with reduced vagal tone, typically interpreted as autonomic nervous system dysfunction. Emerging evidence, however, suggests a broader disturbance across multiple neurotransmitter systems.

This paper reviews current knowledge on neurotransmitter systems implicated in ME/CFS and Long COVID, focusing on potential mechanisms of dysregulation and their roles in disease pathology and symptom generation, as well as implications for treatment. In addition to abnormalities of the noradrenergic system, disturbances in serotonergic, GABAergic, and glutamatergic signaling have been reported. Contributing factors may include autoimmunity, neuroinflammation, gut dysbiosis, epigenetic influences, and stressors such as orthostatic intolerance, metabolic strain, and pain.

A shift favoring excitatory over inhibitory neurotransmission can lead to excessive neural activation, autonomic dysfunction, sensory hypersensitivities, sleep disturbances, and cognitive impairment. Reduced GABAergic tone combined with increased glutamatergic and noradrenergic activity may elevate skeletal muscle tone, contributing to calcium overload, mitochondrial dysfunction, exertional intolerance, and post-exertional malaise. Various pharmacological treatments may partially rebalance these neurotransmitter systems, but limited efficacy highlights the need for systematic investigation and individualized strategies.

Source: Wirth KJ, Scheibenbogen C. Imbalance of Excitatory and Inhibitory Neurotransmitter Systems in Myalgic Encephalomyelitis/Chronic Fatigue Syndrome. Int J Mol Sci. 2026 Apr 30;27(9):4041. doi: 10.3390/ijms27094041. PMID: 42123618. https://www.mdpi.com/1422-0067/27/9/4041 (Full text)