Tag: review

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)

Digital Approaches for Managing Brain Fog in Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS): Interventions, Monitoring, and Future Directions

Abstract:

Myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) is a high-burden, under-researched condition characterized by heterogeneous and fluctuating symptoms, including cognitive dysfunction commonly described by patients as “brain fog”. Despite growing interest in digital health technologies for symptom monitoring and personalized care, their application to the assessment and management of cognitive dysfunction in ME/CFS remains unclear. This descriptive review aimed to examine the current scientific evidence on digital approaches related to brain fog in ME/CFS.

A structured literature search following PRISMA guidance was conducted to identify relevant studies. The available literature remains limited in scope and methodological maturity. During synthesizing across studies, three main functional domains of digital application become apparent: (1) digital tools for cognitive assessment, which have the strongest evidence base; (2) digital platforms for longitudinal monitoring; and (3) digitally mediated interventions or rehabilitation approaches, both of which are less well studied.

Simultaneously, the findings suggest that patient-reported brain fog may represent a visible component of the broader ME/CFS disease spectrum and could serve as an early clinical indicator guiding diagnosis and management. Interpreting these symptoms within a biopsychosocial framework may facilitate understanding of the complex nature of the disease and optimize the use of digital technologies for monitoring cognitive dysfunction and supporting patient-centered care in ME/CFS.

Source: Araja D, Murovska M, Krumina A, Eory A, Berkis U. Digital Approaches for Managing Brain Fog in Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS): Interventions, Monitoring, and Future Directions. Life (Basel). 2026 Apr 1;16(4):571. doi: 10.3390/life16040571. PMID: 42073381. https://www.mdpi.com/2075-1729/16/4/571 (Full text)

Regulatory Cycles of Orexin and Glucagon-Like Peptide-1 in Post-Viral Syndromes

Abstract:

Post-viral syndromes are heterogeneous multisystem diseases without a uniform etiology that occur as a result of acute viral infections. During the COVID-19 pandemic, the number of patients increased dramatically due to infections with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). This is known as post-acute sequelae of COVID-19 (PASC), with many cases also meeting the criteria for myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS), the most severe form of a post-viral disease, characterized by severe fatigue, post-exertional malaise (PEM), unrefreshing sleep, neurocognitive impairment, and autonomic and immune dysregulation.

Orexin (OX) neuropeptides, which regulate arousal, metabolism, and neuroendocrine functions, may serve as a central link between stress, immune activation, and metabolic changes in these syndromes. Notable phenotypic similarities between OX system dysfunction and core features of PASC and ME/CFS, including fatigue, sleep issues, impaired glucose metabolism, and neuropsychiatric symptoms, support a mechanistic model in which impaired OX signaling contributes to post-viral endocrine and metabolic dysfunction.

This review examines the role of OX in regulating glucose metabolism, HPA axis activity, and systemic homeostasis, with a specific focus on sexually dimorphic expression and function in relation to post-viral syndromes. We also highlight the effect of glucagon-like peptide-1 (GLP-1), another key player in metabolism, which also has neuroprotective, anti-inflammatory, vasoprotective, and immunomodulatory effects. We further emphasize emerging therapeutic strategies, such as GLP-1 receptor agonists (GLP-1RAs) and drugs targeting the OX system.

Together, these insights provide an integrated framework for understanding and targeting the neuroendocrine-metabolic underpinnings of PASC, ME/CFS, and other post-viral syndromes.

Source: Ruhrländer J, Schieffer E, Schieffer B. Regulatory Cycles of Orexin and Glucagon-Like Peptide-1 in Post-Viral Syndromes. Endocr Rev. 2026 Apr 27:bnag009. doi: 10.1210/endrev/bnag009. Epub ahead of print. PMID: 42037238. https://pubmed.ncbi.nlm.nih.gov/42037238/

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.

Source: Woo TW, Choi YJ, Kim JY, Lee JS, Son CG. Neuroendocrine signature of ME/CFS: Meta-analytic evidence for bioactive cortisol deficit and exaggerated feedback sensitivity. Mol Psychiatry. 2026 Apr 23. doi: 10.1038/s41380-026-03608-1. Epub ahead of print. PMID: 42026257. https://pubmed.ncbi.nlm.nih.gov/42026257/