Department of Medical Sciences and Public Health, Multiple Sclerosis Center, Binaghi Hospital, ATS Sardegna, University of Cagliari, via Is Guadazzonis 2, 09126, Cagliari, Italy.
Radiology Unit, Binaghi Hospital, ATS Sardegna, Cagliari, Italy.
J Neurol. 2018 May;265(5):1096-1101. doi: 10.1007/s00415-018-8811-1. Epub 2018 Mar 5.
Several studies indicated that multiple sclerosis (MS) is frequently associated with other autoimmune diseases. However, it is little known if the coexistence of these conditions may influence the radiologic features of MS, and in particular the brain volumes.
To evaluate the effect of autoimmune comorbidities on brain atrophy in a large case-control MS population.
A group of MS patients affected by a second autoimmune disorder, and a control MS group without any comorbidity, were recruited. Patients underwent a brain MRI and volumes of whole brain (WB), white matter (WM), and gray matter (GM) with cortical GM were estimated by SIENAX.
The sample included 286 MS patients, of which 30 (10.5%) subjects with type 1 diabetes (T1D), 53 (18.5%) with autoimmune thyroiditis (AT) and 4 (0.1%) with celiac disease. Multiple regression analysis found an association between T1D and lower GM (p = 0.038) and cortical GM (p = 0.036) volumes, independent from MS clinical features and related to T1D duration (p < 0.01), while no association was observed with AT and celiac disease.
Our data support the importance of considering T1D as possible factors influencing the brain atrophy in MS. Further studies are needed to confirm our data and to clarify the underlying mechanisms.
多项研究表明多发性硬化症(MS)常与其他自身免疫性疾病相关。然而,目前尚不清楚这些疾病的共存是否会影响 MS 的影像学特征,特别是脑容量。
在大型病例对照 MS 人群中评估自身免疫性合并症对脑萎缩的影响。
招募了一组患有第二种自身免疫性疾病的 MS 患者和一组无任何合并症的对照 MS 患者。所有患者均接受了脑部 MRI 检查,并使用 SIENAX 评估了全脑(WB)、白质(WM)和灰质(GM)的体积,包括皮质 GM。
本研究样本包括 286 名 MS 患者,其中 30 名(10.5%)患有 1 型糖尿病(T1D),53 名(18.5%)患有自身免疫性甲状腺炎(AT),4 名(0.1%)患有乳糜泻。多元回归分析发现,T1D 与 GM(p = 0.038)和皮质 GM(p = 0.036)体积减少有关,与 MS 临床特征无关,但与 T1D 病程有关(p < 0.01),而与 AT 和乳糜泻无关。
我们的数据支持将 T1D 视为影响 MS 脑萎缩的可能因素的重要性。需要进一步的研究来证实我们的数据,并阐明潜在的机制。