1
|
Hu W, Qiu Z, Huang Q, Lin Y, Mo J, Wang L, Wang J, Deng K, Feng Y, Zhang X, Tan X. Microstructural changes of the white matter in systemic lupus erythematosus patients without neuropsychiatric symptoms: a multi-shell diffusion imaging study. Arthritis Res Ther 2024; 26:110. [PMID: 38807248 PMCID: PMC11134659 DOI: 10.1186/s13075-024-03344-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2024] [Accepted: 05/22/2024] [Indexed: 05/30/2024] Open
Abstract
BACKGROUND Diffusion kurtosis imaging (DKI) and neurite orientation dispersion and density imaging (NODDI) provide more comprehensive and informative perspective on microstructural alterations of cerebral white matter (WM) than single-shell diffusion tensor imaging (DTI), especially in the detection of crossing fiber. However, studies on systemic lupus erythematosus patients without neuropsychiatric symptoms (non-NPSLE patients) using multi-shell diffusion imaging remain scarce. METHODS Totally 49 non-NPSLE patients and 41 age-, sex-, and education-matched healthy controls underwent multi-shell diffusion magnetic resonance imaging. Totally 10 diffusion metrics based on DKI (fractional anisotropy, mean diffusivity, axial diffusivity, radial diffusivity, mean kurtosis, axial kurtosis and radial kurtosis) and NODDI (neurite density index, orientation dispersion index and volume fraction of the isotropic diffusion compartment) were evaluated. Tract-based spatial statistics (TBSS) and atlas-based region-of-interest (ROI) analyses were performed to determine group differences in brain WM microstructure. The associations of multi-shell diffusion metrics with clinical indicators were determined for further investigation. RESULTS TBSS analysis revealed reduced FA, AD and RK and increased ODI in the WM of non-NPSLE patients (P < 0.05, family-wise error corrected), and ODI showed the best discriminative ability. Atlas-based ROI analysis found increased ODI values in anterior thalamic radiation (ATR), inferior frontal-occipital fasciculus (IFOF), forceps major (F_major), forceps minor (F_minor) and uncinate fasciculus (UF) in non-NPSLE patients, and the right ATR showed the best discriminative ability. ODI in the F_major was positively correlated to C3. CONCLUSION This study suggested that DKI and NODDI metrics can complementarily detect WM abnormalities in non-NPSLE patients and revealed ODI as a more sensitive and specific biomarker than DKI, guiding further understanding of the pathophysiological mechanism of normal-appearing WM injury in SLE.
Collapse
Affiliation(s)
- Wenjun Hu
- Department of Medical Imaging Center, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Ziru Qiu
- School of Biomedical Engineering, Southern Medical University, Guangzhou, China
- Guangdong Provincial Key Laboratory of Medical Image Processing and Guangdong Province Engineering Laboratory for Medical Imaging and Diagnostic Technology, Southern Medical University, Guangzhou, China
| | - Qin Huang
- Department of Rheumatology, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Yuhao Lin
- Departments of Nuclear Medicine, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
| | - Jiaying Mo
- Department of Medical Imaging Center, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Linhui Wang
- Department of Medical Imaging Center, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Jingyi Wang
- Department of Medical Imaging Center, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Kan Deng
- Philips Healthcare, Guangzhou, China
| | - Yanqiu Feng
- School of Biomedical Engineering, Southern Medical University, Guangzhou, China
- Guangdong Provincial Key Laboratory of Medical Image Processing and Guangdong Province Engineering Laboratory for Medical Imaging and Diagnostic Technology, Southern Medical University, Guangzhou, China
| | - Xinyuan Zhang
- School of Biomedical Engineering, Southern Medical University, Guangzhou, China.
- Guangdong Provincial Key Laboratory of Medical Image Processing and Guangdong Province Engineering Laboratory for Medical Imaging and Diagnostic Technology, Southern Medical University, Guangzhou, China.
| | - Xiangliang Tan
- Department of Medical Imaging Center, Nanfang Hospital, Southern Medical University, Guangzhou, China.
| |
Collapse
|
2
|
Tomalla V, Schmeisser MJ, Weinmann-Menke J. Mouse models, antibodies, and neuroimaging: Current knowledge and future perspectives in neuropsychiatric systemic lupus erythematosus (NPSLE). Front Psychiatry 2023; 14:1078607. [PMID: 36970286 PMCID: PMC10031066 DOI: 10.3389/fpsyt.2023.1078607] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/24/2022] [Accepted: 02/13/2023] [Indexed: 03/11/2023] Open
Abstract
As a chronic autoimmune disease systemic lupus erythematosus (SLE) can also affect the central and the peripheral nervous system causing symptoms which are summed up as neuropsychiatric systemic lupus erythematosus (NPSLE). These symptoms are heterogenous including cognitive impairment, seizures, and fatigue, leading to morbidity or even mortality. At present, little is known about the pathophysiological processes involved in NPSLE. This review focuses on the current knowledge of the pathogenesis of NPSLE gained from the investigation of animal models, autoantibodies, and neuroimaging techniques. The antibodies investigated the most are anti-ribosomal P protein antibodies (Anti-rib P) and anti-N-Methyl-D-Aspartic Acid Receptor 2 antibodies (Anti-NR2), which represent a subpopulation of anti-dsDNA autoantibodies. Experimental data demonstrates that Anti-rib P and Anti-NR2 cause different neurological pathologies when applied intravenously (i.v.), intrathecally or intracerebrally in mice. Moreover, the investigation of lupus-prone mice, such as the MRL/MpJ-Faslpr/lpr strain (MRL/lpr) and the New Zealand black/New Zealand white mice (NZB × NZW F1) showed that circulating systemic antibodies cause different neuropsychiatric symptoms compared to intrathecally produced antibodies. Furthermore, neuroimaging techniques including magnetic resonance imaging (MRI) and positron emission tomography (PET) are commonly used tools to investigate structural and functional abnormalities in NPSLE patients. Current research suggests that the pathogenesis of NPSLE is heterogenous, complex and not yet fully understood. However, it demonstrates that further investigation is needed to develop individual therapy in NPSLE.
Collapse
Affiliation(s)
- Vanessa Tomalla
- Department of Internal Medicine, Division of Nephrology, University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
| | - Michael J. Schmeisser
- Institute of Anatomy, University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
- Focus Program Translational Neurosciences (FTN), University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
| | - Julia Weinmann-Menke
- Department of Internal Medicine, Division of Nephrology, University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
- Research Center for Immunotherapy (FZI), University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
- *Correspondence: Julia Weinmann-Menke,
| |
Collapse
|
3
|
Hanly JG, Robertson JW, Legge A, Kamintsky L, Aristi G, Friedman A, Beyea SD, Fisk JD, Omisade A, Calkin C, Bardouille T, Bowen C, Matheson K, Hashmi JA. Resting state functional connectivity in SLE patients and association with cognitive impairment and blood-brain barrier permeability. Rheumatology (Oxford) 2023; 62:685-695. [PMID: 35699463 PMCID: PMC9891437 DOI: 10.1093/rheumatology/keac343] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2022] [Revised: 06/03/2022] [Accepted: 06/03/2022] [Indexed: 02/04/2023] Open
Abstract
OBJECTIVE Extensive blood-brain barrier (BBB) leakage has been linked to cognitive impairment in SLE. This study aimed to examine the associations of brain functional connectivity (FC) with cognitive impairment and BBB dysfunction among patients with SLE. METHODS Cognitive function was assessed by neuropsychological testing (n = 77). Resting-state FC (rsFC) between brain regions, measured by functional MRI (n = 78), assessed coordinated neural activation in 131 regions across five canonical brain networks. BBB permeability was measured by dynamic contrast-enhanced MRI (n = 61). Differences in rsFC were compared between SLE patients with cognitive impairment (SLE-CI) and those with normal cognition (SLE-NC), between SLE patients with and without extensive BBB leakage, and with healthy controls. RESULTS A whole-brain rsFC comparison found significant differences in intra-network and inter-network FC in SLE-CI vs SLE-NC patients. The affected connections showed a reduced negative rsFC in SLE-CI compared with SLE-NC and healthy controls. Similarly, a reduced number of brain-wide connections was found in SLE-CI patients compared with SLE-NC (P = 0.030) and healthy controls (P = 0.006). Specific brain regions had a lower total number of brain-wide connections in association with extensive BBB leakage (P = 0.011). Causal mediation analysis revealed that 64% of the association between BBB leakage and cognitive impairment in SLE patients was mediated by alterations in FC. CONCLUSION SLE patients with cognitive impairment had abnormalities in brain rsFC which accounted for most of the association between extensive BBB leakage and cognitive impairment.
Collapse
Affiliation(s)
- John G Hanly
- Division of Rheumatology, Department of Medicine and Department of Pathology, Queen Elizabeth II Health Sciences Center and Dalhousie University
| | - Jason W Robertson
- Department of Anesthesia, Pain Management and Perioperative Medicine, Dalhousie University, Nova Scotia Health Authority
| | - Alexandra Legge
- Division of Rheumatology, Department of Medicine, Queen Elizabeth II Health Sciences Center and Dalhousie University
| | - Lyna Kamintsky
- Department of Medical Neuroscience, Dalhousie University, Halifax, Nova Scotia, Canada
| | - Guillermo Aristi
- Department of Anesthesia, Pain Management and Perioperative Medicine, Dalhousie University, Nova Scotia Health Authority
| | - Alon Friedman
- Department of Medical Neuroscience, Dalhousie University, Halifax, Nova Scotia, Canada.,Departments of Cognitive and Brain Sciences, Physiology and Cell Biology, Ben-Gurion University of the Negev, Beer Sheva, Israel
| | - Steven D Beyea
- Biomedical Translational Imaging Centre (BIOTIC), QEII Health Sciences Centre, and Department of Diagnostic Radiology
| | - John D Fisk
- Nova Scotia Health Authority, Halifax, Canada and the Departments of Psychiatry, Psychology & Neuroscience and Medicine, Dalhousie University
| | - Antonina Omisade
- Acquired Brain Injury (Epilepsy Program), Nova Scotia Health Authority
| | - Cynthia Calkin
- Department of Psychiatry and Department of Medical Neuroscience
| | | | - Chris Bowen
- Biomedical Translational Imaging Centre (BIOTIC), QEII Health Sciences Centre, and Department of Diagnostic Radiology
| | - Kara Matheson
- Research Methods Unit, Nova Scotia Health Authority, Halifax, Nova Scotia, Canada
| | - Javeria A Hashmi
- Department of Anesthesia, Pain Management and Perioperative Medicine, Dalhousie University, Nova Scotia Health Authority
| |
Collapse
|
4
|
Emerson JS, Gruenewald SM, Gomes L, Lin MW, Swaminathan S. The conundrum of neuropsychiatric systemic lupus erythematosus: Current and novel approaches to diagnosis. Front Neurol 2023; 14:1111769. [PMID: 37025200 PMCID: PMC10070984 DOI: 10.3389/fneur.2023.1111769] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2022] [Accepted: 03/07/2023] [Indexed: 04/08/2023] Open
Abstract
Recognising neuropsychiatric involvement by systemic lupus erythematosus (SLE) is of growing importance, however many barriers to this exist at multiple levels of our currently available diagnostic algorithms that may ultimately delay its diagnosis and subsequent treatment. The heterogeneous and non-specific clinical syndromes, serological and cerebrospinal fluid (CSF) markers and neuroimaging findings that often do not mirror disease activity, highlight important research gaps in the diagnosis of neuropsychiatric SLE (NPSLE). Formal neuropsychological assessments or the more accessible screening metrics may also help improve objective recognition of cognitive or mood disorders. Novel serum and CSF markers, including autoantibodies, cytokines and chemokines have also shown increasing utility as part of diagnosis and monitoring, as well as in distinguishing NPSLE from SLE patients without SLE-related neuropsychiatric manifestations. Novel neuroimaging studies also expand upon our existing strategy by quantifying parameters that indicate microarchitectural integrity or provide an assessment of neuronal function. Some of these novel markers have shown associations with specific neuropsychiatric syndromes, suggesting that future research move away from considering NPSLE as a single entity but rather into its individually recognized neuropsychiatric manifestations. Nevertheless, it is likely that a composite panel of these investigations will be needed to better address the gaps impeding recognition of neuropsychiatric involvement by SLE.
Collapse
Affiliation(s)
- Jonathan S. Emerson
- Department of Clinical Immunology and Immunopathology, Westmead Hospital, Sydney, NSW, Australia
- Sydney Medical School, The University of Sydney, Sydney, NSW, Australia
- Centre for Immunology and Allergy Research, The Westmead Institute for Medical Research, Sydney, NSW, Australia
- *Correspondence: Jonathan S. Emerson,
| | - Simon M. Gruenewald
- Department of Nuclear Medicine, PET and Ultrasound, Westmead Hospital, Sydney, NSW, Australia
| | - Lavier Gomes
- Sydney Medical School, The University of Sydney, Sydney, NSW, Australia
- Department of Radiology, Westmead Hospital, Sydney, NSW, Australia
| | - Ming-Wei Lin
- Department of Clinical Immunology and Immunopathology, Westmead Hospital, Sydney, NSW, Australia
- Sydney Medical School, The University of Sydney, Sydney, NSW, Australia
| | - Sanjay Swaminathan
- Department of Clinical Immunology and Immunopathology, Westmead Hospital, Sydney, NSW, Australia
- Sydney Medical School, The University of Sydney, Sydney, NSW, Australia
- Department of Clinical Immunology, Blacktown Hospital, Sydney, NSW, Australia
- School of Medicine, Western Sydney University, Sydney, NSW, Australia
| |
Collapse
|
5
|
Tract-based white matter hyperintensity patterns in patients with systemic lupus erythematosus using an unsupervised machine learning approach. Sci Rep 2022; 12:21376. [PMID: 36494508 PMCID: PMC9734118 DOI: 10.1038/s41598-022-25990-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2022] [Accepted: 12/07/2022] [Indexed: 12/13/2022] Open
Abstract
Currently, little is known about the spatial distribution of white matter hyperintensities (WMH) in the brain of patients with Systemic Lupus erythematosus (SLE). Previous lesion markers, such as number and volume, ignore the strategic location of WMH. The goal of this work was to develop a fully-automated method to identify predominant patterns of WMH across WM tracts based on cluster analysis. A total of 221 SLE patients with and without neuropsychiatric symptoms from two different sites were included in this study. WMH segmentations and lesion locations were acquired automatically. Cluster analysis was performed on the WMH distribution in 20 WM tracts. Our pipeline identified five distinct clusters with predominant involvement of the forceps major, forceps minor, as well as right and left anterior thalamic radiations and the right inferior fronto-occipital fasciculus. The patterns of the affected WM tracts were consistent over the SLE subtypes and sites. Our approach revealed distinct and robust tract-based WMH patterns within SLE patients. This method could provide a basis, to link the location of WMH with clinical symptoms. Furthermore, it could be used for other diseases characterized by presence of WMH to investigate both the clinical relevance of WMH and underlying pathomechanism in the brain.
Collapse
|
6
|
Su L, Qi Z, Guan S, Wei L, Zhao Y. Exploring the risk factors for ischemic cerebrovascular disease in systemic lupus erythematosus: A single-center case-control study. Front Immunol 2022; 13:978910. [PMID: 36238309 PMCID: PMC9552613 DOI: 10.3389/fimmu.2022.978910] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2022] [Accepted: 08/22/2022] [Indexed: 11/13/2022] Open
Abstract
ObjectivesIschemic cerebrovascular disease (ICVD) is one of the most common and severe complications in systemic lupus erythematosus (SLE). We aim to explore the risk factors for ICVD in SLE and to assess their associated clinical characteristics.MethodsIn this study, 44 lupus patients with ICVD (ICVD-SLE) and 80 age- and sex-matched lupus patients without ICVD (non-ICVD-SLE) who were hospitalized in our center between 2014 and 2021 were enrolled. A comprehensive set of clinical and socio-demographic data was recorded. In the ICVD-SLE group, the modified Rankin score (mRS) at 90 days after the occurrence of ICVD, the brain MRI, and arterial ultrasonography findings were collected. Group comparisons were made with continuous variables using an independent t-test or the Mann–Whitney test, and with categorical variables using the chi-square test or Fisher exact test. Multivariate logistic regression analysis was performed to identify the risk factors for ICVD in SLE. Patients with ICVD-SLE were divided into three subgroups according to the gradations of intracranial arterial stenosis (ICAS). The subgroup comparisons were performed by one-way ANOVA test or Kruskal–Wallis test.ResultsOf the 44 patients with ICVD, 45% had a large-vessel ischemic stroke, 50% had a symptomatic lacunar stroke, and 9% had a transient ischemic attack. 2 (4.5%) had both large-vessel ischemic stroke and symptomatic lacunar stroke. Multivariate logistic regression analysis showed that cutaneous vasculitis (OR=7.36, 95% CI=2.11–25.65), anticardiolipin antibody (aCL) (OR=4.38, 95% CI=1.435–13.350), and lupus anticoagulant (LA) (OR=7.543,95% CI=1.789–31.808) were the risk factors, and hydroxychloroquine (HCQ) therapy (OR=0.198, 95% CI=0.078–0.502) was the protective factor, after controlling for confounders. During the analysis of the subgroups, no significant difference was observed between the patients in the group without internal carotid arterial occlusion (ICAS) and those with severe ICAS except for diagnostic delay. However, patients in the moderate ICAS group were older when SLE occurred (P<0.01), had a longer diagnostic delay (P<0.01), a lower percentage of hypocomplementemia (P=0.05) and steroids and HCQ therapy (P=0.01, P=0.05, respectively), a trend toward lower mRS score, but a higher incidence of carotid atherosclerotic plaque (P<0.01), when compared with the other two subgroups.ConclusionCutaneous vasculitis and antiphospholipid antibodies (aPLs) are associated with an increased risk of ICVD, while HCQ therapy may provide protection against ICVD in SLE. The ICVD in younger lupus patients is associated with complement-mediated inflammation and poorer outcome, and require immunosuppressive therapy, whereas the ICVD in elderly patients are characterized by moderate ICAS and carotid atherosclerotic plaques.
Collapse
Affiliation(s)
- Li Su
- Department of Rheumatology and Allergy, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Zhigang Qi
- Department of Radiology and Nuclear Medicine, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Shaochen Guan
- Evidence-Based Medical Center, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Lian Wei
- Department of Rheumatology and Allergy, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Yi Zhao
- Department of Rheumatology and Allergy, Xuanwu Hospital, Capital Medical University, Beijing, China
- *Correspondence: Yi Zhao,
| |
Collapse
|
7
|
Cognitive dysfunction in SLE: An understudied clinical manifestation. J Autoimmun 2022; 132:102911. [PMID: 36127204 DOI: 10.1016/j.jaut.2022.102911] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2022] [Accepted: 08/31/2022] [Indexed: 11/22/2022]
Abstract
Neuropsychiatric lupus (NPSLE) is a debilitating manifestation of SLE which occurs in a majority of SLE patients and has a variety of clinical manifestations. In the central nervous system, NPSLE may result from ischemia or penetration of inflammatory mediators and neurotoxic antibodies through the blood brain barrier (BBB). Here we focus on cognitive dysfunction (CD) as an NPSLE manifestation; it is common, underdiagnosed, and without specific therapy. For a very long time, clinicians ignored cognitive dysfunction and researchers who might be interested in the question struggled to find an approach to understanding mechanisms for this manifestation. Recent years, however, propelled by a more patient-centric approach to disease, have seen remarkable progress in our understanding of CD pathogenesis. This has been enabled through the use of novel imaging modalities and numerous mouse models. Overall, these studies point to a pivotal role of an impaired BBB and microglial activation in leading to neuronal injury. These insights suggest potential therapeutic modalities and make possible clinical trials for cognitive impairment.
Collapse
|
8
|
Kornaropoulos EN, Winzeck S, Rumetshofer T, Wikstrom A, Knutsson L, Correia MM, Sundgren PC, Nilsson M. Sensitivity of Diffusion MRI to White Matter Pathology: Influence of Diffusion Protocol, Magnetic Field Strength, and Processing Pipeline in Systemic Lupus Erythematosus. Front Neurol 2022; 13:837385. [PMID: 35557624 PMCID: PMC9087851 DOI: 10.3389/fneur.2022.837385] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2021] [Accepted: 03/16/2022] [Indexed: 11/13/2022] Open
Abstract
There are many ways to acquire and process diffusion MRI (dMRI) data for group studies, but it is unknown which maximizes the sensitivity to white matter (WM) pathology. Inspired by this question, we analyzed data acquired for diffusion tensor imaging (DTI) and diffusion kurtosis imaging (DKI) at 3T (3T-DTI and 3T-DKI) and DTI at 7T in patients with systemic lupus erythematosus (SLE) and healthy controls (HC). Parameter estimates in 72 WM tracts were obtained using TractSeg. The impact on the sensitivity to WM pathology was evaluated for the diffusion protocol, the magnetic field strength, and the processing pipeline. Sensitivity was quantified in terms of Cohen's d for group comparison. Results showed that the choice of diffusion protocol had the largest impact on the effect size. The effect size in fractional anisotropy (FA) across all WM tracts was 0.26 higher when derived by DTI than by DKI and 0.20 higher in 3T compared with 7T. The difference due to the diffusion protocol was larger than the difference due to magnetic field strength for the majority of diffusion parameters. In contrast, the difference between including or excluding different processing steps was near negligible, except for the correction of distortions from eddy currents and motion which had a clearly positive impact. For example, effect sizes increased on average by 0.07 by including motion and eddy correction for FA derived from 3T-DTI. Effect sizes were slightly reduced by the incorporation of denoising and Gibbs-ringing removal (on average by 0.011 and 0.005, respectively). Smoothing prior to diffusion model fitting generally reduced effect sizes. In summary, 3T-DTI in combination with eddy current and motion correction yielded the highest sensitivity to WM pathology in patients with SLE. However, our results also indicated that the 3T-DKI and 7T-DTI protocols used here may be adjusted to increase effect sizes.
Collapse
Affiliation(s)
- Evgenios N. Kornaropoulos
- Clinical Sciences, Diagnostic Radiology, Lund University, Lund, Sweden
- Division of Anaesthesia, University of Cambridge, Cambridge, United Kingdom
| | - Stefan Winzeck
- Division of Anaesthesia, University of Cambridge, Cambridge, United Kingdom
- BioMedIA Group, Department of Computing, Imperial College London, London, United Kingdom
| | | | - Anna Wikstrom
- Clinical Sciences, Diagnostic Radiology, Lund University, Lund, Sweden
| | - Linda Knutsson
- Department of Medical Radiation Physics, Lund University, Lund, Sweden
- Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University, School of Medicine, Baltimore, MD, United States
- F.M. Kirby Research Center, Kennedy Krieger Institute, Baltimore, MD, United States
| | - Marta M. Correia
- MRC Cognition and Brain Sciences Unit, University of Cambridge, Cambridge, United Kingdom
| | - Pia C. Sundgren
- Clinical Sciences, Diagnostic Radiology, Lund University, Lund, Sweden
- Lund University BioImaging Center, Lund University, Lund, Sweden
- Department of Medical Imaging and Physiology, Skåne University Hospital, Lund, Sweden
| | - Markus Nilsson
- Clinical Sciences, Diagnostic Radiology, Lund University, Lund, Sweden
| |
Collapse
|
9
|
Langensee L, Mårtensson J, Jönsen A, Zervides K, Bengtsson A, Nystedt J, Cannerfelt B, Nilsson P, Mannfolk P, Lätt J, Rumetshofer T, Sundgren PC. Cognitive performance in systemic lupus erythematosus patients: a cross-sectional and longitudinal study. BMC Rheumatol 2022; 6:22. [PMID: 35440096 PMCID: PMC9019974 DOI: 10.1186/s41927-022-00253-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2021] [Accepted: 02/16/2022] [Indexed: 12/02/2022] Open
Abstract
Background Previous research has provided evidence for cognitive dysfunction as a common symptom of systemic lupus erythematosus (SLE). In light of this, the primary goal of this study was to investigate how cognitive impairment in this patient group develops over time. In addition, the present dataset contributes to delineating the specific abilities that are impaired in SLE patients as well as answering the question whether the disease affects the cognition of SLE patients with neuropsychiatric manifestations (NPSLE) and without (non-NPSLE) in distinct ways. Methods 91 female participants (33 NPSLE, 29 non-NPSLE, 29 healthy controls (HC)) underwent standardized neurocognitive testing. A total of ten different cognitive abilities were assessed, among others executive function, memory, and attention. Some of the participants (30 NPSLE patients, 22 non-NPSLE, 13 HC) were tested twice (mean time between testing sessions: 50 months) to enable longitudinal tracking of cognitive abilities. Analyses of Variance (ANOVA) were conducted to determine whether cognitive performance differed cross-sectionally between the groups. Linear mixed effects models were fit to investigate performance differences between the groups over time. Results Cross-sectional analysis at follow-up demonstrated that the cognitive performance of both NPSLE and non-NPSLE was significantly lower than that of HC for the motor speed and the psychomotor speed domain. Additionally, NPSLE patients performed significantly weaker than HC in the complex attention domain. At the same time, the cross-sectional data did not yield any support for performance differences between NPSLE and non-NPSLE patients. Weak positive correlations between disease duration and psychomotor speed, motor speed and reaction time emerged. A temporal progression of cognitive dysfunction in SLE patients was not confirmed. Conclusions Cognitive performance is affected in both non-NPSLE and NPSLE patients. However, a linear decline in performance over time could not be verified. More in-depth longitudinal assessments of cognition in SLE patients are needed to establish how cognitive abilities in this patient population develop over time. Supplementary Information The online version contains supplementary material available at 10.1186/s41927-022-00253-3.
Collapse
Affiliation(s)
- L Langensee
- Department of Clinical Sciences Lund, Logopedics, Phoniatrics and Audiology, Faculty of Medicine, Lund University, 22185, Lund, Sweden
| | - J Mårtensson
- Department of Clinical Sciences Lund, Logopedics, Phoniatrics and Audiology, Faculty of Medicine, Lund University, 22185, Lund, Sweden
| | - A Jönsen
- Department of Clinical Sciences Lund, Rheumatology, Faculty of Medicine, Lund University, 22185, Lund, Sweden
| | - K Zervides
- Department of Clinical Sciences Lund, Rheumatology, Faculty of Medicine, Lund University, 22185, Lund, Sweden.,Department of Clinical Sciences Lund, Neurology, Faculty of Medicine, Lund University, 22185, Lund, Sweden
| | - A Bengtsson
- Department of Clinical Sciences Lund, Rheumatology, Faculty of Medicine, Lund University, 22185, Lund, Sweden
| | - J Nystedt
- Department of Clinical Sciences Lund, Radiology, Faculty of Medicine, Lund University, 22185, Lund, Sweden
| | - B Cannerfelt
- Department of Medical Imaging and Physiology, Skåne University Hospital, 221 85, Lund, Sweden
| | - P Nilsson
- Department of Clinical Sciences Lund, Neurology, Faculty of Medicine, Lund University, 22185, Lund, Sweden
| | - P Mannfolk
- Department of Medical Imaging and Physiology, Skåne University Hospital, 221 85, Lund, Sweden
| | - J Lätt
- Department of Medical Imaging and Physiology, Skåne University Hospital, 221 85, Lund, Sweden
| | - T Rumetshofer
- Department of Clinical Sciences Lund, Logopedics, Phoniatrics and Audiology, Faculty of Medicine, Lund University, 22185, Lund, Sweden
| | - P C Sundgren
- Department of Clinical Sciences Lund, Radiology, Faculty of Medicine, Lund University, 22185, Lund, Sweden. .,Department of Medical Imaging and Physiology, Skåne University Hospital, 221 85, Lund, Sweden. .,Lund University BioImaging Center (LBIC), Lund University, 22185, Lund, Sweden.
| |
Collapse
|
10
|
Otto LD, Russart KLG, Kulkarni P, McTigue DM, Ferris CF, Pyter LM. Paclitaxel Chemotherapy Elicits Widespread Brain Anisotropy Changes in a Comprehensive Mouse Model of Breast Cancer Survivorship: Evidence From In Vivo Diffusion Weighted Imaging. Front Oncol 2022; 12:798704. [PMID: 35402248 PMCID: PMC8984118 DOI: 10.3389/fonc.2022.798704] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2021] [Accepted: 02/22/2022] [Indexed: 11/22/2022] Open
Abstract
Breast cancer is one of the most common diseases in the United States with 1 in 8 women developing the disease in her lifetime. Women who develop breast cancer are often post-menopausal and undergo a complex sequence of treatments including surgery, chemotherapy, and aromatase inhibitor therapy. Both independently and through potential interactions, these factors and treatments are associated with behavioral comorbidities reported in patients (e.g., fatigue), although the underlying neurobiological mechanisms are poorly understood. Currently, brain imaging is the most feasible way to assess neurobiology in patients. Indeed, breast cancer patients display alterations in white matter connections and chemotherapy is associated with decreased white and gray matter in the corpus callosum and cortex as well as decreased hippocampal volume. However, imaging in breast cancer rodent models is lacking, impeding translation of the mechanistic neurobiological findings made possible through modeling. Furthermore, current rodent models of breast cancer often lack the complexity of typical multimodal breast cancer treatments, thereby limiting translational value. The present study aimed to develop a comprehensive model of post-menopausal breast cancer survival using immunocompetent ovariectomized mice, including an orthotopic syngeneic tumor, surgical tumor removal, chemotherapy, and aromatase inhibitor therapy. Using this model, we systematically investigated the cumulative effects of chemotherapy and hormone replacement therapy on neurostructure and behavior using diffusion weighted imaging, open field test, and spontaneous alternation test. Our previous findings, in a simplified chemotherapy-only model, indicate that this regimen of chemotherapy causes circulating and central inflammation concurrent with reduced locomotor activity. The current study, in the more comprehensive model, has recapitulated the peripheral inflammation coincident with reduced locomotor activity as well as demonstrated that chemotherapy also drives widespread changes in brain anisotropy. Validating the clinical relevance of this comprehensive rodent breast cancer model will allow for additional neurobiological investigations of the interactions among various cancer components associated with behavioral comorbidities, as well as the relationship between these mechanisms and neurostructural imaging changes that can be measured in cancer patients.
Collapse
Affiliation(s)
- Lauren D. Otto
- Institute for Behavioral Medicine Research, Ohio State University Wexner Medical Center, Columbus, OH, United States
| | - Kathryn L. G. Russart
- Institute for Behavioral Medicine Research, Ohio State University Wexner Medical Center, Columbus, OH, United States
- Arthur G. James Comprehensive Cancer Center and Solove Research Institute, Ohio State University, Columbus, OH, United States
| | - Praveen Kulkarni
- Center for Translational Neuroimaging, Department of Psychology and Pharmaceutical Sciences, Northeastern University, Boston, MA, United States
| | - Dana M. McTigue
- Department of Neuroscience, Ohio State University, Columbus, OH, United States
| | - Craig F. Ferris
- Center for Translational Neuroimaging, Department of Psychology and Pharmaceutical Sciences, Northeastern University, Boston, MA, United States
| | - Leah M. Pyter
- Institute for Behavioral Medicine Research, Ohio State University Wexner Medical Center, Columbus, OH, United States
- Arthur G. James Comprehensive Cancer Center and Solove Research Institute, Ohio State University, Columbus, OH, United States
- Department of Neuroscience, Ohio State University, Columbus, OH, United States
- Department of Psychiatry and Behavioral Health, Ohio State University, Columbus, OH, United States
- *Correspondence: Leah M. Pyter,
| |
Collapse
|
11
|
Li S, Bai R, Yang Y, Zhao R, Upreti B, Wang X, Liu S, Cheng Y, Xu J. Abnormal cortical thickness and structural covariance networks in systemic lupus erythematosus patients without major neuropsychiatric manifestations. Arthritis Res Ther 2022; 24:259. [PMID: 36443835 PMCID: PMC9703716 DOI: 10.1186/s13075-022-02954-z] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2022] [Accepted: 11/11/2022] [Indexed: 11/29/2022] Open
Abstract
BACKGROUND Non-neuropsychiatric systemic lupus erythematosus (non-NPSLE) has been confirmed to have subtle changes in brain structure before the appearance of obvious neuropsychiatric symptoms. Previous literature mainly focuses on brain structure loss in non-NPSLE; however, the results are heterogeneous, and the impact of structural changes on the topological structure of patients' brain networks remains to be determined. In this study, we combined neuroimaging and network analysis methods to evaluate the changes in cortical thickness and its structural covariance networks (SCNs) in patients with non-NPSLE. METHODS We compare the cortical thickness of non-NPSLE patients (N=108) and healthy controls (HCs, N=88) using both surface-based morphometry (SBM) and regions of interest (ROI) methods, respectively. After that, we analyzed the correlation between the abnormal cortical thickness results found in the ROI method and a series of clinical features. Finally, we constructed the SCNs of two groups using the regional cortical thickness and analyzed the abnormal SCNs of non-NPSLE. RESULTS By SBM method, we found that cortical thickness of 34 clusters in the non-NPSLE group was thinner than that in the HC group. ROI method based on Destrieux atlas showed that cortical thickness of 57 regions in the non-NPSLE group was thinner than that in the HC group and related to the course of disease, autoantibodies, the cumulative amount of immunosuppressive agents, and cognitive psychological scale. In the SCN analysis, the cortical thickness SCNs of the non-NPSLE group did not follow the small-world attribute at a few densities, and the global clustering coefficient appeared to increase. The area under the curve analysis showed that there were significant differences between the two groups in clustering coefficient, degree, betweenness, and local efficiency. There are a total of seven hubs for non-NPSLE, and five hubs in HCs, the two groups do not share a common hub distribution. CONCLUSION Extensive and obvious reduction in cortical thickness and abnormal topological organization of SCNs are observed in non-NPSLE patients. The observed abnormalities may not only be the realization of brain damage caused by the disease, but also the contribution of the compensatory changes within the nervous system.
Collapse
Affiliation(s)
- Shu Li
- Department of Rheumatology and Immunology, First Affiliated Hospital of Kunming Medical University, Kunming, China
| | - Ru Bai
- Department of Rheumatology and Immunology, First Affiliated Hospital of Kunming Medical University, Kunming, China
| | - Yifan Yang
- Department of Rheumatology and Immunology, First Affiliated Hospital of Kunming Medical University, Kunming, China
| | - Ruotong Zhao
- Department of Rheumatology and Immunology, First Affiliated Hospital of Kunming Medical University, Kunming, China
| | - Bibhuti Upreti
- Department of Rheumatology and Immunology, First Affiliated Hospital of Kunming Medical University, Kunming, China
| | - Xiangyu Wang
- Department of Rheumatology and Immunology, First Affiliated Hospital of Kunming Medical University, Kunming, China
| | - Shuang Liu
- Department of Rheumatology and Immunology, First Affiliated Hospital of Kunming Medical University, Kunming, China
| | - Yuqi Cheng
- Department of Psychiatry, First Affiliated Hospital of Kunming Medical University, Kunming, China.
| | - Jian Xu
- Department of Rheumatology and Immunology, First Affiliated Hospital of Kunming Medical University, Kunming, China.
| |
Collapse
|
12
|
Cerebral Microstructure Analysis by Diffusion-Based MRI in Systemic Lupus Erythematosus: Lessons Learned and Research Directions. Brain Sci 2021; 12:brainsci12010070. [PMID: 35053811 PMCID: PMC8773633 DOI: 10.3390/brainsci12010070] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2021] [Revised: 12/29/2021] [Accepted: 12/29/2021] [Indexed: 11/17/2022] Open
Abstract
Diffusion-based magnetic resonance imaging (MRI) studies, namely diffusion-weighted imaging (DWI) and diffusion-tensor imaging (DTI), have been performed in the context of systemic lupus erythematosus (SLE), either with or without neuropsychiatric (NP) involvement, to deepen cerebral microstructure alterations. These techniques permit the measurement of the variations in random movement of water molecules in tissues, enabling their microarchitecture analysis. While DWI is recommended as part of the initial MRI assessment of SLE patients suspected for NP involvement, DTI is not routinely part of the instrumental evaluation for clinical purposes, and it has been mainly used for research. DWI and DTI studies revealed less restricted movement of water molecules inside cerebral white matter (WM), expression of a global loss of WM density, occurring in the context of SLE, prevalently, but not exclusively, in case of NP involvement. More advanced studies have combined DTI with other quantitative MRI techniques, to further characterize disease pathogenesis, while brain connectomes analysis revealed structural WM network disruption. In this narrative review, the authors provide a summary of the evidence regarding cerebral microstructure analysis by DWI and DTI studies in SLE, focusing on lessons learned and future research perspectives.
Collapse
|
13
|
Wang YL, Jiang ML, Huang LX, Meng X, Li S, Pang XQ, Zeng ZS. Disrupted resting-state interhemispheric functional connectivity in systemic lupus erythematosus patients with and without neuropsychiatric lupus. Neuroradiology 2021; 64:129-140. [PMID: 34379142 DOI: 10.1007/s00234-021-02750-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2021] [Accepted: 06/09/2021] [Indexed: 11/26/2022]
Abstract
PURPOSE The aim of the study is to explore interhemispheric homotopic functional connectivity alterations in systemic lupus erythematosus (SLE) patients with and without neuropsychiatric lupus (NPSLE and non-NPSLE, respectively) and their potential correlations with clinical characteristics and neuropsychological performance. METHODS Based on resting-state functional MRI (rs-fMRI) data collected from SLE patients and matched healthy controls (HCs), the voxel-mirrored homotopic connectivity (VMHC) analysis was conducted to measure functional homotopy. Subsequently, correlations between altered functional homotopy and clinical/neuropsychological data were analyzed. RESULTS Compared with the HC group, both NPSLE and non-NPSLE groups showed attenuated homotopic connectivity in middle temporal gyrus (MTG), cuneus (CUN), middle occipital gyrus (MOG), angular gyrus (ANG), and postcentral gyrus (PoCG). NPSLE patients also exhibited decreased homotopic connectivity in inferior parietal gyrus (IPG) and middle frontal gyrus (MFG). Compared with non-NPSLE patients, NPSLE patients showed weaker interhemispheric homotopic functional connectivity in MOG. Decreased homotopic functional connectivity in PoCG, IPG, and MOG were associated with the anxiety state of SLE patients. CONCLUSIONS Our findings revealed attenuated functional homotopy in both NPSLE and non-NPSLE groups compared to the HC group, which appeared to be more severe in patients with comorbid neuropsychiatric lupus. Interhemispheric homotopy dysconnectivity may participate in the neuropathology of anxiety symptoms in SLE.
Collapse
Affiliation(s)
- Yi-Ling Wang
- Department of Radiology, the First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, Zhuang Autonomous Region, China
| | - Mu-Liang Jiang
- Department of Radiology, the First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, Zhuang Autonomous Region, China
| | - Li-Xuan Huang
- Department of Radiology, the First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, Zhuang Autonomous Region, China
| | - Xia Meng
- Department of Radiology, the First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, Zhuang Autonomous Region, China
| | - Shu Li
- Department of Radiology, the First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, Zhuang Autonomous Region, China
| | - Xiao-Qi Pang
- Department of Radiology, the First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, Zhuang Autonomous Region, China
| | - Zi-San Zeng
- Department of Radiology, the First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, Zhuang Autonomous Region, China.
| |
Collapse
|
14
|
Monahan RC, Inglese F, Middelkoop H, van Buchem M, Huizinga TW, Kloppenburg M, Ronen I, Steup-Beekman GM, de Bresser J. White matter hyperintensities associate with cognitive slowing in patients with systemic lupus erythematosus and neuropsychiatric symptoms. RMD Open 2021; 7:rmdopen-2021-001650. [PMID: 34321253 PMCID: PMC8320250 DOI: 10.1136/rmdopen-2021-001650] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2021] [Accepted: 07/17/2021] [Indexed: 12/31/2022] Open
Abstract
Objective To compare cognitive function between patients with different phenotypes of neuropsychiatric systemic lupus erythematosus (NPSLE) and assess its association with brain and white matter hyperintensity (WMH) volumes. Methods Patients attending the Leiden University Medical Centre NPSLE clinic between 2007 and 2015 without large brain infarcts were included (n=151; 42±13 years, 91% women). In a multidisciplinary consensus meeting, neuropsychiatric symptoms were attributed to systemic lupus erythematosus (SLE) (NPSLE, inflammatory (n=24) or ischaemic (n=12)) or to minor/non-NPSLE (n=115). Multiple regression analyses were performed to compare cognitive function between NPSLE phenotypes and to assess associations between brain and WMH volumes and cognitive function cross-sectionally. Results Global cognitive function was impaired in 5%, learning and memory (LM) in 46%, executive function and complex attention (EFCA) in 39% and psychomotor speed (PS) in 46% of all patients. Patients with inflammatory NPSLE showed the most cognitive impairment in all domains (p≤0.05). Higher WMH volume associated with lower PS in the total group (B: −0.14 (95% CI −0.32 to −0.02)); especially in inflammatory NPSLE (B: −0.36 (95% CI −0.60 to −0.12). In the total group, lower total brain volume and grey matter volume associated with lower cognitive functioning in all domains (all: 0.00/0.01 (0.00;0.01)) and lower white matter volume associated with lower LM, EFCA and PS (all: 0.00/0.01 (0.00;0.01)). Conclusion We demonstrated that an association between brain and WMH volumes and cognitive function is present in patients with SLE, but differs between (NP)SLE phenotypes. WMHs associated with PS especially in inflammatory NPSLE, which suggests a different, potentially more severe underlying pathophysiological mechanism of cognitive impairment in this phenotype.
Collapse
Affiliation(s)
| | - Francesca Inglese
- Department of Radiology, Leiden University Medical Centre, Leiden, the Netherlands
| | - Huub Middelkoop
- Department of Neurology, Leiden University Medical Centre, Leiden, the Netherlands.,Institute of Psychology, Health, Medical and Neuropsychology Unit, Leiden University, Leiden, the Netherlands
| | - Mark van Buchem
- Department of Radiology, Leiden University Medical Centre, Leiden, the Netherlands
| | - Tom Wj Huizinga
- Rheumatology, Leiden University Medical Centre, Leiden, the Netherlands
| | - Margreet Kloppenburg
- Rheumatology, Leiden University Medical Centre, Leiden, the Netherlands.,Department of Clinical Epidemiology, Leiden University Medical Centre, Leiden, the Netherlands
| | - Itamar Ronen
- Department of Radiology, Leiden University Medical Centre, Leiden, the Netherlands
| | - Gerda M Steup-Beekman
- Rheumatology, Leiden University Medical Centre, Leiden, the Netherlands.,Department of Rheumatology, Medisch Centrum Haaglanden, the Hague, the Netherlands
| | - Jeroen de Bresser
- Department of Radiology, Leiden University Medical Centre, Leiden, the Netherlands
| |
Collapse
|
15
|
Wang Y, Jiang M, Huang L, Meng X, Li S, Pang X, Zeng Z. Altered Functional Brain Network in Systemic Lupus Erythematosus Patients Without Overt Neuropsychiatric Symptoms Based on Resting-State Functional Magnetic Resonance Imaging and Multivariate Pattern Analysis. Front Neurol 2021; 12:690979. [PMID: 34354663 PMCID: PMC8333697 DOI: 10.3389/fneur.2021.690979] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2021] [Accepted: 06/04/2021] [Indexed: 11/13/2022] Open
Abstract
Objective: This study aims to investigate the alterations in functional brain network in systemic lupus erythematosus patients without overt neuropsychiatric symptoms [neuropsychiatric systemic lupus erythematosus (non-NPSLE)] from the perspective of degree centrality (DC) and functional connectivity (FC) using resting-state functional magnetic resonance imaging (MRI) and multivariate pattern analysis (MVPA) approach. Methods: DC analysis was performed based on the resting-state functional MRI data derived from 47 non-NPSLE patients and 47 healthy controls (HCs). Nodes with abnormal DC were utilized as seeds for further FC analysis. The correlation between MRI variables and clinical or neuropsychological data was analyzed using Pearson correlation analysis. Finally, MVPA classification based on DC was performed. Results: When compared with the HCs, the non-NPSLE patients exhibited remarkably higher DC in the bilateral hippocampus (HIP), right insula (INS), and lower DC in the left superior parietal gyrus. Furthermore, the patients displayed significantly higher FC between the left HIP and the left INS/left dorsolateral middle frontal gyrus/left supramarginal gyrus and higher FC between the right HIP and the right middle temporal gyrus/right dorsolateral middle frontal gyrus/right dorsolateral inferior frontal gyrus/right supramarginal gyrus (all imaging variables mentioned earlier underwent cluster-level false discovery rate corrections, the voxel threshold was p < 0.001, cluster threshold was p < 0.05). Correlation analysis revealed significantly negative correlations between DC values of the right INS and disease activity and the DC values of the right HIP and the Montreal Cognitive Assessment scores. The accuracy, sensitivity, and specificity of MVPA classification based on DC were 72.34, 63.83, and 80.85%, respectively. The most discriminative power brain regions were chiefly located within the temporal, parietal, and frontal regions. Conclusion: Patients with non-NPSLE exhibited abnormal DC and FC in the brain network. MVPA based on DC possessed commendable classification ability. Our study may provide a novel perspective on the neuropathological mechanisms underlying subclinical brain damage in non-NPSLE.
Collapse
Affiliation(s)
- Yiling Wang
- Department of Radiology, The First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Muliang Jiang
- Department of Radiology, The First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Lixuan Huang
- Department of Radiology, The First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Xia Meng
- Department of Radiology, The First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Shu Li
- Department of Radiology, The First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Xiaoqi Pang
- Department of Radiology, The First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Zisan Zeng
- Department of Radiology, The First Affiliated Hospital of Guangxi Medical University, Nanning, China
| |
Collapse
|
16
|
Silvagni E, Inglese F, Bortoluzzi A, Borrelli M, Goeman JJ, Revenaz A, Groppo E, Steup-Beekman GM, Huizinga TWJ, Ronen I, de Bresser J, Fainardi E, Govoni M, Ercan E. Longitudinal changes in cerebral white matter microstructure in newly diagnosed systemic lupus erythematosus patients. Rheumatology (Oxford) 2021; 60:2678-2687. [PMID: 33507240 PMCID: PMC8213425 DOI: 10.1093/rheumatology/keaa677] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2020] [Revised: 09/10/2020] [Indexed: 11/13/2022] Open
Abstract
OBJECTIVES To evaluate longitudinal variations in diffusion tensor imaging (DTI) metrics of different white matter (WM) tracts of newly diagnosed SLE patients, and to assess whether DTI changes relate to changes in clinical characteristics over time. METHODS A total of 17 newly diagnosed SLE patients (19-55 years) were assessed within 24 months from diagnosis with brain MRI (1.5 T Philips Achieva) at baseline, and after at least 12 months. Fractional anisotropy, mean diffusivity (MD), radial diffusivity (RD) and axial diffusivity values were calculated in several normal-appearing WM tracts. Longitudinal variations in DTI metrics were analysed by repeated measures analysis of variance. DTI changes were separately assessed for 21 WM tracts. Associations between longitudinal alterations of DTI metrics and clinical variables (SLEDAI-2K, complement levels, glucocorticoid dosage) were evaluated using adjusted Spearman correlation analysis. RESULTS Mean MD and RD values from the normal-appearing WM significantly increased over time (P = 0.019 and P = 0.021, respectively). A significant increase in RD (P = 0.005) and MD (P = 0.012) was found in the left posterior limb of the internal capsule; RD significantly increased in the left retro-lenticular part of the internal capsule (P = 0.013), and fractional anisotropy significantly decreased in the left corticospinal tract (P = 0.029). No significant correlation was found between the longitudinal change in DTI metrics and the change in clinical measures. CONCLUSION Increase in diffusivity, reflecting a compromised WM tissue microstructure, starts in initial phases of the SLE disease course, even in the absence of overt neuropsychiatric (NP) symptoms. These results indicate the importance of monitoring NP involvement in SLE, even shortly after diagnosis.
Collapse
Affiliation(s)
- Ettore Silvagni
- Rheumatology Unit, Department of Medical Sciences, University of Ferrara and Azienda Ospedaliero-Universitaria S. Anna, Cona (Ferrara), Italy
| | - Francesca Inglese
- Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands
| | - Alessandra Bortoluzzi
- Rheumatology Unit, Department of Medical Sciences, University of Ferrara and Azienda Ospedaliero-Universitaria S. Anna, Cona (Ferrara), Italy
| | - Massimo Borrelli
- Neuroradiology Unit, Department of Radiology, Azienda Ospedaliero-Universitaria Sant'Anna, Cona (Ferrara), Italy
| | - Jelle J Goeman
- Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, the Netherlands
| | - Alfredo Revenaz
- Neuroradiology Unit, Department of Radiology, Azienda Ospedaliero-Universitaria Sant'Anna, Cona (Ferrara), Italy
| | | | - Gerda M Steup-Beekman
- Department of Rheumatology, Leiden University Medical Center, Leiden, the Netherlands
| | - Tom W J Huizinga
- Department of Rheumatology, Leiden University Medical Center, Leiden, the Netherlands
| | - Itamar Ronen
- Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands
| | - Jeroen de Bresser
- Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands
| | - Enrico Fainardi
- Neuroradiology Unit, Department of Experimental and Clinical Biomedical Sciences, University of Florence, Florence, Italy
| | - Marcello Govoni
- Rheumatology Unit, Department of Medical Sciences, University of Ferrara and Azienda Ospedaliero-Universitaria S. Anna, Cona (Ferrara), Italy
| | - Ece Ercan
- Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands
| |
Collapse
|
17
|
Yuen K, Green R, Bingham K, Ruttan L, Lee-Kim V, Tartaglia MC, Anderson M, Zandy M, Choi MY, Fritzler MJ, Wither JE, Beaton DE, Katz P, Touma Z. Metrics and definitions used in the assessment of cognitive impairment in systemic lupus erythematosus: A systematic review. Semin Arthritis Rheum 2021; 51:819-830. [PMID: 34157577 DOI: 10.1016/j.semarthrit.2021.05.018] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2021] [Revised: 05/03/2021] [Accepted: 05/31/2021] [Indexed: 11/08/2022]
Abstract
OBJECTIVE To review: 1) degree of conformity to the American College of Rheumatology neuropsychological battery (ACR-NB) among studies that used a NB, 2) review definitions of cognitive impairment (CI) from studies that used a NB, and 3) characterize measurement tools used to assess CI in systemic lupus erythematosus (SLE). METHODS The literature search was conducted in Ovid Medline, Embase, and PsycINFO for articles on CI in adult SLE patients. We reviewed studies that used a NB and compared their tests to the ACR-NB to assess the degree of conformity. Definitions of CI from studies that used a NB were reviewed when sufficient information was available. We reviewed and categorized CI measurement tools into four broad categories: NB, screening, incomplete/mixed batteries, and computerized batteries. RESULTS Of 8727 references, 118 were selected for detailed review and 97 were included in the final analysis. Of 43 studies that used a NB, none of the studies used the ACR-NB exactly as published. Many studies supplemented with other tests. Overall, there was inconsistent use of ACR-NB tests. Definitions for CI varied, with cut-offs ranging from 1 to 3 standard deviations below normative values on domains/tests varying in type and number. The most frequently used measurement tool for assessing CI in SLE was a NB. Use of screening tests and computerized batteries have also increased over the last decade. CONCLUSION The assessment and definition of CI in SLE remains heterogeneous. A consensus meeting to address existing inconsistencies should be considered to harmonize the field of CI in SLE.
Collapse
Affiliation(s)
- Kimberley Yuen
- Centre for Prognosis Studies in the Rheumatic Diseases, Toronto Western Hospital, University of Toronto Lupus Clinic, EW, 1-412, 399 Bathurst Street, Toronto, Ontario, Canada; Queen's University School of Medicine, Kingston, Ontario, Canada
| | - Robin Green
- University Health Network- Toronto Rehabilitation Institute, Toronto, Ontario, Canada
| | - Kathleen Bingham
- University Health Network Centre for Mental Health, Toronto, Ontario, Canada
| | - Lesley Ruttan
- University Health Network- Toronto Rehabilitation Institute, Toronto, Ontario, Canada
| | - Victoria Lee-Kim
- Queen's University School of Medicine, Kingston, Ontario, Canada
| | | | - Melanie Anderson
- Toronto Western Hospital, University Health Network, Toronto, Ontario, Canada
| | - Moe Zandy
- Centre for Prognosis Studies in the Rheumatic Diseases, Toronto Western Hospital, University of Toronto Lupus Clinic, EW, 1-412, 399 Bathurst Street, Toronto, Ontario, Canada
| | - May Y Choi
- Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Marvin J Fritzler
- Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Joan E Wither
- Schroeder Arthritis Institute, Krembil Research Institute, University Health Network, Toronto, Ontario, Canada
| | | | - Patricia Katz
- University of California at San Francisco, San Francisco, California, USA
| | - Zahi Touma
- Centre for Prognosis Studies in the Rheumatic Diseases, Toronto Western Hospital, University of Toronto Lupus Clinic, EW, 1-412, 399 Bathurst Street, Toronto, Ontario, Canada.
| |
Collapse
|
18
|
Chen L, Sun J, Wang Q, Hu L, Zhang Y, Ma H, Jia X, Yang X. Altered Temporal Dynamics of Brain Activity in Multiple-Frequency Bands in Non-Neuropsychiatric Systemic Lupus Erythematosus Patients with Inactive Disease. Neuropsychiatr Dis Treat 2021; 17:1385-1395. [PMID: 33994788 PMCID: PMC8113012 DOI: 10.2147/ndt.s292302] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/20/2020] [Accepted: 03/15/2021] [Indexed: 12/02/2022] Open
Abstract
PURPOSE In this study, we seek to investigate dynamic changes of brain activity in non-neuropsychiatric systemic lupus erythematosus (non-NPSLE) patients with inactive disease. PATIENTS AND METHODS Thirty-one non-NPSLE patients with inactive disease and 20 matched healthy controls underwent the blood oxygenation level-dependent fMRI examination. Dynamic regional homogeneity (ReHo) and fractional amplitude of low-frequency fluctuations (fALFF) were used to analyze the brain activity in typical band (0.01-0.08 Hz), slow-4 (0.027-0.073 Hz) and slow-5 (0.01-0.027 Hz). Pearson's correlation analysis was performed to correlate dynamic regional homogeneity (dReHo) and dynamic fractional amplitude of low-frequency fluctuations (dfALFF) values for clusters of voxels where significant group differences were found with clinical variables in non-NPSLE patients with inactive disease. RESULTS In typical band, non-NPSLE patients showed increased dReHo in left middle occipital gyrus (MOG) compared to healthy controls. Meanwhile, patients showed decreased dfALFF in right superior frontal gyrus (SFG) and bilateral middle frontal gyrus (MFG) in typical band. In slow-4, increased dReHo in left MOG was found in non-NPSLE patients. In slow-5, non-NPSLE patients showed increased dReHo in left MOG, left calcarine fissure and surrounding cortex, right precentral gyrus (PreCG) and left postcentral gyrus (PoCG). Meanwhile, non-NPSLE patients showed decreased dfALFF in left SFG, right MFG, and right PreCG in slow-5. Moreover, the glucocorticoid dose showed significantly negative correlations with dReHo values in right PreCG in slow-5, left PoCG in slow-5, and left MOG in typical band. CONCLUSION dReHo and dfALFF abnormalities in different frequency bands may be the key characteristics in the pathogenesis mechanism of non-NPSLE.
Collapse
Affiliation(s)
- Liheng Chen
- Department of Rheumatology, Second Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, 310009, People’s Republic of China
| | - Jiawei Sun
- School of Information and Electronics Technology, Jiamusi University, Jiamusi, People’s Republic of China
- Integrated Medical Research School, Jiamusi University, Jiamusi, People’s Republic of China
| | - Qiaohong Wang
- Department of Rheumatology, Second Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, 310009, People’s Republic of China
| | - Lingzhen Hu
- Department of Rheumatology, Second Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, 310009, People’s Republic of China
| | - Yi Zhang
- Department of Rheumatology, Second Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, 310009, People’s Republic of China
| | - Huibin Ma
- School of Information and Electronics Technology, Jiamusi University, Jiamusi, People’s Republic of China
- Integrated Medical Research School, Jiamusi University, Jiamusi, People’s Republic of China
| | - Xize Jia
- Institute of Psychological Sciences, Hangzhou Normal University, Hangzhou, People’s Republic of China
- Zhejiang Key Laboratory for Research in Assessment of Cognitive Impairments, Hangzhou, People’s Republic of China
| | - Xuyan Yang
- Department of Rheumatology, Second Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, 310009, People’s Republic of China
| |
Collapse
|
19
|
Bulk M, van Harten T, Kenkhuis B, Inglese F, Hegeman I, van Duinen S, Ercan E, Magro-Checa C, Goeman J, Mawrin C, van Buchem M, Steup-Beekman G, Huizinga T, van der Weerd L, Ronen I. Quantitative susceptibility mapping in the thalamus and basal ganglia of systemic lupus erythematosus patients with neuropsychiatric complaints. Neuroimage Clin 2021; 30:102637. [PMID: 33812303 PMCID: PMC8053812 DOI: 10.1016/j.nicl.2021.102637] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2020] [Revised: 03/14/2021] [Accepted: 03/16/2021] [Indexed: 11/30/2022]
Abstract
Systemic lupus erythematosus (SLE) is an auto-immune disease characterized by multi-organ involvement. Although uncommon, central nervous system involvement in SLE, termed neuropsychiatric SLE (NPSLE), is not an exception. Current knowledge on underlying pathogenic mechanisms is incomplete, however, neuroinflammation is thought to play a critical role. Evidence from neurodegenerative diseases and multiple sclerosis suggests that neuroinflammation is correlated with brain iron accumulation, making quantitative susceptibility mapping (QSM) a potential hallmark for neuroinflammation in vivo. This study assessed susceptibility values of the thalamus and basal ganglia in (NP)SLE patients and further investigated the in vivo findings with histological analyses of postmortem brain tissue derived from SLE patients. We used a 3T MRI scanner to acquire single-echo T2*-weighted images of 44 SLE patients and 20 age-matched healthy controls. Of the 44 patients with SLE, all had neuropsychiatric complaints, of which 29 were classified as non-NPSLE and 15 as NPSLE (seven as inflammatory NPSLE and eight as ischemic NPSLE). Mean susceptibility values of the thalamus, caudate nucleus, putamen, and globus pallidus were calculated. Formalin-fixed paraffin-embedded post-mortem brain tissue including the putamen and globus pallidus of three additional SLE patients was obtained and stained for iron, microglia and astrocytes. Susceptibility values of SLE patients and age-matched controls showed that iron levels in the thalamus and basal ganglia were not changed due to the disease. No subgroup of SLE showed higher susceptibility values. No correlation was found with disease activity or damage due to SLE. Histological examination of the post-mortem brain showed no increased iron accumulation. Our results suggest that neuroinflammation in NPSLE does not necessarily go hand in hand with iron accumulation, and that the inflammatory pathomechanism in SLE may differ from the one observed in neurodegenerative diseases and in multiple sclerosis.
Collapse
Affiliation(s)
- Marjolein Bulk
- Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Thijs van Harten
- Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Boyd Kenkhuis
- Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands; Department of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands
| | - Francesca Inglese
- Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Ingrid Hegeman
- Department of Pathology, Leiden University Medical Center, Leiden, The Netherlands
| | - Sjoerd van Duinen
- Department of Pathology, Leiden University Medical Center, Leiden, The Netherlands
| | - Ece Ercan
- Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands
| | - César Magro-Checa
- Department of Rheumatology, Leiden University Medical Center, Leiden, The Netherlands; Department of Rheumatology, Zuyderland Medical Center, Heerlen, The Netherlands
| | - Jelle Goeman
- Department of Medical Statistics, Leiden University Medical Center, Leiden, The Netherlands
| | - Christian Mawrin
- Department of Neuropathology, Otto-von-Guericke University, Magdeburg, Germany; Center for Behavioral Brain Sciences (CBBS), Magdeburg, Germany
| | - Mark van Buchem
- Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Gerda Steup-Beekman
- Department of Rheumatology, Leiden University Medical Center, Leiden, The Netherlands
| | - Tom Huizinga
- Department of Rheumatology, Leiden University Medical Center, Leiden, The Netherlands
| | - Louise van der Weerd
- Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands; Department of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands
| | - Itamar Ronen
- Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands.
| |
Collapse
|
20
|
Valdés Hernández MDC, Smith K, Bastin ME, Nicole Amft E, Ralston SH, Wardlaw JM, Wiseman SJ. Brain network reorganisation and spatial lesion distribution in systemic lupus erythematosus. Lupus 2020; 30:285-298. [PMID: 33307988 PMCID: PMC7854491 DOI: 10.1177/0961203320979045] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Abstract
Objective This work investigates network organisation of brain structural connectivity
in systemic lupus erythematosus (SLE) relative to healthy controls and its
putative association with lesion distribution and disease indicators. Methods White matter hyperintensity (WMH) segmentation and connectomics were
performed in 47 patients with SLE and 47 healthy age-matched controls from
structural and diffusion MRI data. Network nodes were divided into
hierarchical tiers based on numbers of connections. Results were compared
between patients and controls to assess for differences in brain network
organisation. Voxel-based analyses of the spatial distribution of WMH in
relation to network measures and SLE disease indicators were conducted. Results Despite inter-individual differences in brain network organization observed
across the study sample, the connectome networks of SLE patients had larger
proportion of connections in the peripheral nodes. SLE patients had
statistically larger numbers of links in their networks with generally
larger fractional anisotropy weights (i.e. a measure of white matter
integrity) and less tendency to aggregate than those of healthy controls.
The voxels exhibiting connectomic differences were coincident with WMH
clusters, particularly the left hemisphere’s intersection between the
anterior limb of the internal and external capsules. Moreover, these voxels
also associated more strongly with disease indicators. Conclusion Our results indicate network differences reflective of compensatory
reorganization of the neural circuits, reflecting adaptive or extended
neuroplasticity in SLE.
Collapse
Affiliation(s)
- Maria Del C Valdés Hernández
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK.,UK Dementia Research Institute, University of Edinburgh, Edinburgh, UK
| | - Keith Smith
- Usher Institute for Population Health Science and Informatics, University of Edinburgh, Edinburgh, UK.,Health Data Research UK, London, UK
| | - Mark E Bastin
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
| | - E Nicole Amft
- University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK
| | - Stuart H Ralston
- Centre for Genomic and Experimental Medicine, University of Edinburgh, Edinburgh, UK
| | - Joanna M Wardlaw
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK.,UK Dementia Research Institute, University of Edinburgh, Edinburgh, UK
| | - Stewart J Wiseman
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK.,UK Dementia Research Institute, University of Edinburgh, Edinburgh, UK
| |
Collapse
|
21
|
Advances in the diagnosis, pathogenesis and treatment of neuropsychiatric systemic lupus erythematosus. Curr Opin Rheumatol 2020; 32:152-158. [PMID: 31895125 DOI: 10.1097/bor.0000000000000682] [Citation(s) in RCA: 25] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
PURPOSE OF REVIEW Diagnosing and treating neuropsychiatric systemic lupus erythematosus (NPSLE) remains challenging as the pathogenesis is still being debated. In this review, we discuss studies evaluating recent advances in diagnostic methods, pathogenic mediators and potential treatments. RECENT FINDINGS Screening tools used for neurodegenerative diseases were found to be both sensitive and moderately specific for cognitive dysfunction in NPSLE. Neuroimaging can be used to distinguish systemic lupus erythematosus (SLE) patients from healthy controls, but further refinement is needed to differentiate between lupus patients with and without neuropsychiatric manifestations. Elevated levels of specific molecules in the cerebrospinal fluid and/or serum, as well as the presence of certain autoantibodies, have been identified as potential biomarkers in attempts to facilitate a more accurate and objective diagnosis. Among such autoantibodies, anti-NR2 and anti-ribosomal P autoantibodies also have a pathogenic role, although newer studies demonstrate that blood-brain barrier damage may not always be required as previously believed. These and other observations, together with new evidence for disease attenuation after microglial modulation, suggest direct involvement of the central nervous system in NPSLE pathogenesis. SUMMARY Neuropsychiatric involvement of SLE includes a variety of symptoms that impact quality of life and patient prognosis. There have been recent advances in improving the diagnosis of NPSLE as well as in dissecting the underlying pathogenesis. The attenuation of neuropsychiatric disease in mouse models demonstrates the potential for targeted therapies, which are based on a clearer understanding of the pathogenesis of NPSLE. Further assessment of these treatments is required in NPSLE patients, as well as the potential use of neuroimaging to distinguish between SLE patients with or without neuropsychiatric manifestations.
Collapse
|
22
|
Symptoms of Mild Traumatic Brain Injury Unmask Autoimmune Disease. J Pediatr Health Care 2020; 34:161-165. [PMID: 31836353 DOI: 10.1016/j.pedhc.2019.11.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/06/2019] [Revised: 11/10/2019] [Accepted: 11/11/2019] [Indexed: 11/24/2022]
|
23
|
Schwartz N, Stock AD, Putterman C. Neuropsychiatric lupus: new mechanistic insights and future treatment directions. Nat Rev Rheumatol 2020; 15:137-152. [PMID: 30659245 DOI: 10.1038/s41584-018-0156-8] [Citation(s) in RCA: 206] [Impact Index Per Article: 51.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
Patients with systemic lupus erythematosus (SLE) frequently show symptoms of central nervous system (CNS) involvement, termed neuropsychiatric SLE (NPSLE). The CNS manifestations of SLE are diverse and have a broad spectrum of severity and prognostic implications. Patients with NPSLE typically present with nonspecific symptoms, such as headache and cognitive impairment, but might also experience devastating features, such as memory loss, seizures and stroke. Some features of NPSLE, in particular those related to coagulopathy, have been characterized and an evidence-based treatment algorithm is available. The cognitive and affective manifestations of NPSLE, however, remain poorly understood. Various immune effectors have been evaluated as contributors to its pathogenesis, including brain-reactive autoantibodies, cytokines and cell-mediated inflammation. Additional brain-intrinsic elements (such as resident microglia, the blood-brain barrier and other neurovascular interfaces) are important facilitators of NPSLE. As yet, however, no unifying model has been found to underlie the pathogenesis of NPSLE, suggesting that this disease has multiple contributors and perhaps several distinct aetiologies. This heterogeneity presents a challenge for clinicians who have traditionally relied on empirical judgement in choosing treatment modalities for patients with NPSLE. Improved understanding of this manifestation of SLE might yield further options for managing this disease.
Collapse
Affiliation(s)
- Noa Schwartz
- Division of Rheumatology, Hospital for Special Surgery, New York, NY, USA
| | - Ariel D Stock
- Department of Microbiology & Immunology, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Chaim Putterman
- Department of Microbiology & Immunology, Albert Einstein College of Medicine, Bronx, NY, USA. .,Division of Rheumatology, Albert Einstein College of Medicine and Montefiore Medical Center, Bronx, NY, USA.
| |
Collapse
|
24
|
Functional connectivity changes in core resting state networks are associated with cognitive performance in systemic lupus erythematosus. J Comp Neurol 2019; 527:1837-1856. [DOI: 10.1002/cne.24656] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2018] [Revised: 12/29/2018] [Accepted: 01/17/2019] [Indexed: 12/23/2022]
|
25
|
Mackay M, Vo A, Tang CC, Small M, Anderson EW, Ploran EJ, Storbeck J, Bascetta B, Kang S, Aranow C, Sartori C, Watson P, Volpe BT, Diamond B, Eidelberg D. Metabolic and microstructural alterations in the SLE brain correlate with cognitive impairment. JCI Insight 2019; 4:124002. [PMID: 30626758 DOI: 10.1172/jci.insight.124002] [Citation(s) in RCA: 36] [Impact Index Per Article: 7.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2018] [Accepted: 12/05/2018] [Indexed: 12/31/2022] Open
Abstract
To address challenges in the diagnosis of cognitive dysfunction (CD) related to systemic lupus erythematosus-associated (SLE-associated) autoimmune mechanisms rather than confounding factors, we employed an integrated approach, using resting-state functional (FDG-PET) and structural (diffusion tensor imaging [DTI]) neuroimaging techniques and cognitive testing, in adult SLE patients with quiescent disease and no history of neuropsychiatric illness. We identified resting hypermetabolism in the sensorimotor cortex, occipital lobe, and temporal lobe of SLE subjects, in addition to validation of previously published resting hypermetabolism in the hippocampus, orbitofrontal cortex, and putamen/GP/thalamus. Regional hypermetabolism demonstrated abnormal interregional metabolic correlations, associated with impaired cognitive performance, and was stable over 15 months. DTI analyses demonstrated 4 clusters of decreased microstructural integrity in white matter tracts adjacent to hypermetabolic regions and significantly diminished connecting tracts in SLE subjects. Decreased microstructural integrity in the parahippocampal gyrus correlated with impaired spatial memory and increased serum titers of DNRAb, a neurotoxic autoantibody associated with neuropsychiatric lupus. These findings of regional hypermetabolism, associated with decreased microstructural integrity and poor cognitive performance and not associated with disease duration, disease activity, medications, or comorbid disease, suggest that this is a reproducible, stable marker for SLE-associated CD that may be may be used for early disease detection and to discriminate between groups, evaluate response to treatment strategies, or assess disease progression.
Collapse
Affiliation(s)
- Meggan Mackay
- Autoimmune, Musculoskeletal and Hematopoietic Diseases and
| | - An Vo
- Center for Neurosciences, Feinstein Institute for Medical Research and Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Manhasset, New York, USA
| | - Chris C Tang
- Center for Neurosciences, Feinstein Institute for Medical Research and Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Manhasset, New York, USA
| | - Michael Small
- Center for Neurosciences, Feinstein Institute for Medical Research and Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Manhasset, New York, USA
| | | | | | - Justin Storbeck
- Department of Psychology, Queens College, Flushing, New York, USA
| | | | - Simran Kang
- Department of Psychology, Queens College, Flushing, New York, USA
| | - Cynthia Aranow
- Autoimmune, Musculoskeletal and Hematopoietic Diseases and
| | - Carl Sartori
- Autoimmune, Musculoskeletal and Hematopoietic Diseases and
| | - Philip Watson
- Department of Psychiatry, Northwell Health, Manhasset, New York, USA
| | - Bruce T Volpe
- Autoimmune, Musculoskeletal and Hematopoietic Diseases and
| | - Betty Diamond
- Autoimmune, Musculoskeletal and Hematopoietic Diseases and
| | - David Eidelberg
- Center for Neurosciences, Feinstein Institute for Medical Research and Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Manhasset, New York, USA
| |
Collapse
|
26
|
Bendorius M, Po C, Muller S, Jeltsch-David H. From Systemic Inflammation to Neuroinflammation: The Case of Neurolupus. Int J Mol Sci 2018; 19:E3588. [PMID: 30428632 PMCID: PMC6274746 DOI: 10.3390/ijms19113588] [Citation(s) in RCA: 35] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2018] [Revised: 11/06/2018] [Accepted: 11/09/2018] [Indexed: 12/17/2022] Open
Abstract
It took decades to arrive at the general consensus dismissing the notion that the immune system is independent of the central nervous system. In the case of uncontrolled systemic inflammation, the relationship between the two systems is thrown off balance and results in cognitive and emotional impairment. It is specifically true for autoimmune pathologies where the central nervous system is affected as a result of systemic inflammation. Along with boosting circulating cytokine levels, systemic inflammation can lead to aberrant brain-resident immune cell activation, leakage of the blood⁻brain barrier, and the production of circulating antibodies that cross-react with brain antigens. One of the most disabling autoimmune pathologies known to have an effect on the central nervous system secondary to the systemic disease is systemic lupus erythematosus. Its neuropsychiatric expression has been extensively studied in lupus-like disease murine models that develop an autoimmunity-associated behavioral syndrome. These models are very useful for studying how the peripheral immune system and systemic inflammation can influence brain functions. In this review, we summarize the experimental data reported on murine models developing autoimmune diseases and systemic inflammation, and we explore the underlying mechanisms explaining how systemic inflammation can result in behavioral deficits, with a special focus on in vivo neuroimaging techniques.
Collapse
Affiliation(s)
- Mykolas Bendorius
- UMR 7242 Biotechnologie et Signalisation Cellulaire, École Supérieure de Biotechnologie de Strasbourg (ESBS), Laboratoire d'Excellence Médalis, Université de Strasbourg/CNRS, 67412 Illkirch, France.
| | - Chrystelle Po
- ICube UMR 7357, Université de Strasbourg/CNRS, Fédération de Médecine Translationnelle de Strasbourg, 67000 Strasbourg, France.
| | - Sylviane Muller
- UMR 7242 Biotechnologie et Signalisation Cellulaire, École Supérieure de Biotechnologie de Strasbourg (ESBS), Laboratoire d'Excellence Médalis, Université de Strasbourg/CNRS, 67412 Illkirch, France.
- University of Strasbourg Institute for Advanced Study (USIAS), 67000 Strasbourg, France.
| | - Hélène Jeltsch-David
- UMR 7242 Biotechnologie et Signalisation Cellulaire, École Supérieure de Biotechnologie de Strasbourg (ESBS), Laboratoire d'Excellence Médalis, Université de Strasbourg/CNRS, 67412 Illkirch, France.
| |
Collapse
|