Clinical Research Administration, Directorate of Health Affairs, Ministry of Health and Population, Alexandria 21554, Egypt.
Biomedical Informatics and Medical Statistics, Medical Research Institute, Alexandria University, Alexandria 21561, Egypt.
Biomolecules. 2024 Jul 11;14(7):835. doi: 10.3390/biom14070835.
Long COVID, a name often given to the persistent symptoms following acute SARS-CoV-2 infection, poses a multifaceted challenge for health. This review explores the intrinsic relationship between comorbidities and autoimmune responses in shaping the trajectory of long COVID. Autoantibodies have emerged as significant players in COVID-19 pathophysiology, with implications for disease severity and progression. Studies show immune dysregulation persisting months after infection, marked by activated innate immune cells and high cytokine levels. The presence of autoantibodies against various autoantigens suggests their potential as comorbid factors in long COVID. Additionally, the formation of immune complexes may lead to severe disease progression, highlighting the urgency for early detection and intervention. Furthermore, long COVID is highly linked to cardiovascular complications and neurological symptoms, posing challenges in diagnosis and management. Multidisciplinary approaches, including vaccination, tailored rehabilitation, and pharmacological interventions, are used for mitigating long COVID's burden. However, numerous challenges persist, from evolving diagnostic criteria to addressing the psychosocial impact and predicting disease outcomes. Leveraging AI-based applications holds promise in enhancing patient management and improving our understanding of long COVID. As research continues to unfold, unravelling the complexities of long COVID remains paramount for effective intervention and patient care.
长新冠,通常指急性 SARS-CoV-2 感染后持续存在的症状,给健康带来了多方面的挑战。本综述探讨了合并症与自身免疫反应在塑造长新冠轨迹中的内在关系。自身抗体已成为 COVID-19 病理生理学中的重要因素,对疾病严重程度和进展有影响。研究表明,感染后数月内持续存在免疫失调,表现为固有免疫细胞激活和细胞因子水平升高。针对各种自身抗原的自身抗体的存在表明它们可能是长新冠的合并症因素。此外,免疫复合物的形成可能导致严重的疾病进展,突出了早期检测和干预的紧迫性。此外,长新冠与心血管并发症和神经症状高度相关,给诊断和管理带来挑战。多学科方法,包括疫苗接种、量身定制的康复和药物干预,用于减轻长新冠的负担。然而,仍存在许多挑战,从不断演变的诊断标准到解决心理社会影响和预测疾病结局。利用基于人工智能的应用程序有望提高患者管理水平,并加深我们对长新冠的理解。随着研究的不断展开,揭示长新冠的复杂性对于有效干预和患者护理至关重要。