Gulf War Illness (GWI) is a multi-symptom disorder affecting 1990–1991 Persian Gulf War veterans and is characterized by post-exertional malaise, neurological symptoms, immune deregulation, and exhaustion. Causation is not understood, and effective diagnostics and therapies have not yet been developed. In this work, we analyzed stress-related, sex-specific transcriptomic shifts in GWI subjects and healthy controls through RNA sequencing of peripheral blood mononuclear cells (PBMCs). Blood samples at baseline (T0), at maximal exertion (T1), and four hours post-exertion (T2) were analyzed. In female subjects with GWI, pathways associated with pro-inflammatory processes were found to be deregulated, and in male GWI subjects, pathways related to IL-12 signaling and lymphocytic activation were deregulated at T1 compared to T0. During recovery from stress, pathways corresponding to immune responses and microglial cell activation were altered in female GWI subjects, and apoptotic signaling changed in males with GWI. Documented sex-specific immune deregulation leads to finding better biomarkers. Targeting sex-specific transcriptomic markers of the disease could lead to new therapies for GWI.

Gulf War Illness (GWI) is a multi-symptom disorder affecting 1990–1991 Persian Gulf War veterans and is characterized by post-exertional malaise, neurological symptoms, immune deregulation, and exhaustion. Causation is not understood, and effective diagnostics and therapies have not yet been developed. In this work, we analyzed stress-related, sex-specific transcriptomic shifts in GWI subjects and healthy controls through RNA sequencing of peripheral blood mononuclear cells (PBMCs). Blood samples at baseline (T0), at maximal exertion (T1), and four hours post-exertion (T2) were analyzed. In female sub-jects with GWI proinflammatory processes, and in male subjects IL-12 signaling and lymphocytic activation were deregulated at T1compared to T0. During recovery from stress, HCMV activity and microglia activation increased in female GWI subjects, and apoptotic signaling changed in males with GWI. Documented sex-specific immune deregulation warrants personalized markers and therapies. Targeting sex-specific transcriptomic markers of disease could lead to new therapies for GWI.

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.

Gulf War Illness (GWI) is a neuroinflammation- and immune-dysfunction-related chronic disease. Corticosteroids, a class of steroid hormones with potent anti-inflammatory and immunosuppressive properties, have been studied for their role in GWI pathophysiology. Eight corticosteroid effect studies were evaluated in this systematic review. Preclinical models showed exacerbation of neuroinflammation, oxidative stress, and epigenetic changes with exposure to CORT in addition to Gulf War neurotoxicants, which induced pro-inflammatory cytokine expression (Tumor Necrosis Factor Alpha (TNF-α), Interleukin-6 (IL-6), C-C motif chemokine ligand 2 (CCL2)). Such findings suggest that corticosteroids can exacerbate symptoms of GWI and need further clinical research to clarify their role in neuroinflammatory processes.