东英吉利大学与牛津生物动力学公司的研究团队发现，长期新冠、肌痛性脑脊髓炎/慢性疲劳综合征（ME/CFS）、创伤后应激障碍、类风湿关节炎和多发性硬化症等五种看似独立的疾病可能破坏相同的生物学网络1。该研究已发表在《转化医学杂志》上，表明不同的诱发因素最终可能导致相同的生物学失调，进而引发患者经历的类似症状1。
研究团队利用EpiSwitch Orion平台深入研究了DNA三维结构组织，发现虽然这五种疾病在单个基因水平上几乎没有直接重叠，但在复杂生物网络中却高度相连1。被破坏的共同生物学系统包括免疫和炎症信号、线粒体能量生产、代谢调节、应激反应机制和神经内分泌信号1。这一发现表明了存在统一的生物学基础，可解释为何这些患者都经历极度疲劳、脑雾、注意力不集中、睡眠障碍和自主神经功能障碍等共同症状1。
这项研究可能为开发客观的血液检测和针对多种慢性疾病的新治疗方法奠定基础1。
Researchers from the University of East Anglia and Oxford Biodynamics have discovered that five seemingly unrelated conditions—long COVID, ME/CFS, post-traumatic stress disorder, rheumatoid arthritis, and multiple sclerosis—may disrupt the same biological networks, according to findings published in the Journal of Translational Medicine.1 The study suggests that despite different triggering factors, these diseases converge on common biological dysfunctions that ultimately produce similar severe fatigue symptoms in patients.1
The research identified shared disruptions across multiple biological systems, including immune and inflammatory signaling, mitochondrial energy production, metabolic regulation, stress response mechanisms, and neuroendocrine signaling.1 While the five conditions show little direct overlap at the individual gene level, they demonstrate high interconnectedness within complex biological networks.1 Patients across all five diseases experience comparable symptoms such as extreme fatigue, brain fog, concentration difficulties, sleep disturbances, and autonomic nervous system dysfunction.1
The study utilized the EpiSwitch Orion platform to examine three-dimensional DNA organization, enabling researchers to map these network-level connections.1 Prof Dmitry Pshezhetskiy from the University of East Anglia's Norwich Medical School and Dr Ewan Hunter, Chief Data Officer at Oxford Biodynamics, led the investigation.1 The findings could pave the way for developing objective blood tests and novel therapeutic approaches applicable across multiple chronic diseases.1
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