■肌痛性脑脊髓炎/慢性疲劳综合征(ME/CFS)由于其复杂的多系统性质,在患者护理中提出了重大挑战。合并症,和全球流行。患者人群之间的异质性,再加上缺乏FDA批准的诊断和治疗方法,进一步使疾病病因和患者管理的研究复杂化。整合纵向多组学数据与临床,健康,文本,Pharmaceutical,营养保健数据为解决这些复杂性提供了一个有希望的途径,帮助识别根本原因,并提供有效治疗和诊断策略的见解。
■这项研究集中于在边缘症状改善期间患有高移动谱障碍(HSD)的异常严重的ME/CFS患者。纵向细胞因子分析与广泛的多模式健康数据收集一起进行,以探索症状的动态性质。严重程度,触发器,和修改因素。此外,更新的严重性评估平台和两个应用程序,ME-CFSTrackerApp和LexiTime,被引入以促进实时症状跟踪并增强患者与医生/研究人员的沟通,并评估对医疗干预的反应。
■纵向细胞因子分析揭示了Th2型细胞因子的重要性,并突出了肥大细胞和嗜酸性粒细胞之间的协同活性,在ME/CFS发病机理中,Th1向Th2免疫应答倾斜,尤其是认知障碍和感觉不耐受。ThissuggestsapotentiallysharedunderlyingmechanismwithmajorME/CFScombiditiessuchasHSD,肥大细胞活化综合征,体位性心动过速综合征(POTS),和小纤维神经病变。此外,数据确定了BCL6和TP53通路在ME/CFS病因学中的潜在作用,并强调了研究药物和补充剂不良反应以及药物相互作用在ME/CFS严重程度和进展中的重要性.
■我们的研究主张将纵向多组学与多模态健康数据和人工智能(AI)技术相结合,以更好地了解ME/CFS及其主要合并症。这些发现强调了Th2型细胞因子失调在患者分层和精准医疗策略中的重要性。此外,我们的研究结果提示探索使用具有部分激动剂活性的低剂量药物作为ME/CFS治疗的潜在途径.这种全面的方法强调了采用以患者为中心的护理方法来改善ME/CFS医疗保健管理的重要性。疾病严重程度评估,个性化医疗。总的来说,这些发现有助于我们对ME/CFS的理解,并为未来的研究和临床实践提供了途径.
UNASSIGNED: Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS) presents substantial challenges in patient care due to its intricate multisystem nature, comorbidities, and global prevalence. The heterogeneity among patient populations, coupled with the absence of FDA-approved diagnostics and therapeutics, further complicates research into disease etiology and patient managment. Integrating longitudinal multi-omics data with clinical, health,textual, pharmaceutical, and nutraceutical data offers a promising avenue to address these complexities, aiding in the identification of underlying causes and providing insights into effective therapeutics and diagnostic strategies.
UNASSIGNED: This study focused on an exceptionally severe ME/CFS patient with hypermobility spectrum disorder (HSD) during a period of marginal symptom improvements. Longitudinal cytokine profiling was conducted alongside the collection of extensive multi-modal health data to explore the dynamic nature of symptoms, severity, triggers, and modifying factors. Additionally, an updated severity assessment platform and two applications, ME-CFSTrackerApp and LexiTime, were introduced to facilitate real-time symptom tracking and enhance patient-physician/researcher communication, and evaluate response to medical intervention.
UNASSIGNED: Longitudinal cytokine profiling revealed the significance of Th2-type cytokines and highlighted synergistic activities between mast cells and eosinophils, skewing Th1 toward Th2 immune responses in ME/CFS pathogenesis, particularly in cognitive impairment and sensorial intolerance. This suggests a potentially shared underlying mechanism with major ME/CFS comorbidities such as HSD, Mast cell activation syndrome, postural orthostatic tachycardia syndrome (
POTS), and small fiber neuropathy. Additionally, the data identified potential roles of BCL6 and TP53 pathways in ME/CFS etiology and emphasized the importance of investigating adverse reactions to medication and supplements and drug interactions in ME/CFS severity and progression.
UNASSIGNED: Our study advocates for the integration of longitudinal multi-omics with multi-modal health data and artificial intelligence (AI) techniques to better understand ME/CFS and its major comorbidities. These findings highlight the significance of dysregulated Th2-type cytokines in patient stratification and precision medicine strategies. Additionally, our results suggest exploring the use of low-dose drugs with partial agonist activity as a potential avenue for ME/CFS treatment. This comprehensive approach emphasizes the importance of adopting a patient-centered care approach to improve ME/CFS healthcare management, disease severity assessment, and personalized medicine. Overall, these findings contribute to our understanding of ME/CFS and offer avenues for future research and clinical practice.