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Purpose: Systemic lupus erythematosus (SLE) is a chronic inflammatory female-predominant autoimmune disease that can affect the central nervous system and exhibit neuropsychiatric symptoms. In SLE patients without neuropsychiatric symptoms (non-NPSLE), recent diffusion tensor imaging studies showed white matter abnormalities in their brains. The present study investigated the entire brain white matter structural connectivity in non-NPSLE patients by using probabilistic tractography and connectivity-based analyses.
Methods: Whole-brain structural networks of 29 non-NPSLE patients and 29 healthy controls (HCs) were examined. The structural networks were constructed with interregional probabilistic connectivity. Graph theory analysis was performed to investigate the topological properties, and network-based statistic was employed to assess the alterations of the interregional connections among non-NPSLE patients and controls.
Results: Compared with HCs, non-NPSLE patients demonstrated significantly decreased global and local network efficiencies and showed increased characteristic path length. This finding suggests that the global integration and local specialization were impaired. Moreover, the regional properties (nodal efficiency and degree) in the frontal, occipital, and cingulum regions of the non-NPSLE patients were significantly changed and negatively correlated with the disease activity index. The distribution pattern of the hubs measured by nodal degree was altered in the patient group. Finally, the non-NPSLE group exhibited decreased structural connectivity in the left median cingulate-centered component and increased connectivity in the left precuneus-centered component and right middle temporal lobe-centered component.
Conclusion: This study reveals an altered topological organization of white matter networks in non-NPSLE patients. Furthermore, this research provides new insights into the structural disruptions underlying the functional and neurocognitive deficits in non-NPSLE patients.
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http://dx.doi.org/10.1016/j.nicl.2016.12.021 | DOI Listing |
PLoS One
August 2025
School of Information and Data Sciences, Nagasaki University, Nagasaki, Japan.
Introduction: Diagnosing neuropsychiatric systemic lupus erythematosus (NPSLE) and differentiating it from systemic lupus erythematosus (SLE) without neuropsychiatric manifestations remains a substantial clinical challenge due to the absence of specific biomarkers. Topological data analysis (TDA) is a novel computational technique that enables the visualization, exploration, and analysis of complex data structures. This study aimed to identify distinct neuroimaging biomarkers in patients with NPSLE (NPSLE group) and differentiate them from patients with SLE without neuropsychiatric symptoms (non-NPSLE group) by employing TDA.
View Article and Find Full Text PDFSemin Arthritis Rheum
August 2025
Department of Pediatrics, The Second Xiangya Hospital of Central South University, Changsha 410011 Hunan, China; Department of Pediatric Neurology, Children's Medical Center, The Second Xiangya Hospital of Central South University, Changsha 410011 Hunan, China; Hunan Provincial Children's Developmen
Background: Neuropsychiatric systemic lupus erythematosus (NPSLE) is a common complication of juvenile systemic lupus erythematosus, with high morbidity and lethality rates. This study aimed to comprehensively analyze the clinical characteristics and related influencing factors of NPSLE, providing important basis for the early detection and early diagnosis of NPSLE.
Methods: The clinical data of juvenile-onset NPSLE patients, juvenile non-NPSLE patients, and adult-onset NPSLE patients admitted to the Xiangya Second Hospital of Central South University from January 2010 to December 2023 were retrospectively analyzed.
Lupus Sci Med
July 2025
City of Hope National Medical Center, Duarte, California, USA.
Objectives: To assess brain grey matter alterations in patients with SLE and their correlation with neuropsychological testing using synthetic MRI (SyMRI).
Methods: This prospective study enrolled patients with SLE and age, gender and education-matched healthy controls (HC). Study assessments included brain MRI using SyMRI and neuropsychological tests: Mini-Mental State Examination (MMSE), Montreal Cognitive Assessment (MoCA), Digit Span Test, Self-Rating Anxiety Scale and Self-Rating Depression Scale (SDS).
Lupus Sci Med
June 2025
Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
Objective: We aim to assess the cerebral oxygen extraction fraction (OEF) changes in patients with systemic lupus erythematosus (SLE) and neuropsychiatric SLE (NPSLE) by using an MRI-based technique and examine the relationship between OEF and cognition.
Methods: 43 SLE patients (18 NPSLE and 25 non-NPSLE) and 26 healthy controls (HC) were recruited. Cognitive function was assessed via the Montreal Cognitive Assessment (MoCA).
Clin Exp Rheumatol
May 2025
Department of Rheumatology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, China.
Objectives: This study aimed to identify potential biomarkers and construct a nomogram able to predict the development of neuropsychiatric systemic lupus erythematosus (NPSLE) among SLE patients.
Methods: Using bioinformatics analysis, TREM2 was identified as an upregulated gene in NPSLE, participating in various pathological pathways of NPSLE. This study included 80 NPSLE patients and three matched SLE controls with no neuropsychiatric events (non-NPSLE controls) for each of the NPSLE patients.