Evidence map›Paper›PMID 26969685›Full record

ArticleBrain : a journal of neurology2016

Glial and axonal changes in systemic lupus erythematosus measured with diffusion of intracellular metabolites.

Ece Ercan, Cesar Magro-Checa, Romain Valabregue, Francesca Branzoli, Emily T Wood, Gerda M Steup-Beekman, Andrew G Webb, Tom W J Huizinga, Mark A van Buchem, Itamar Ronen

Registry-linked trialOpen access · bronzeAbstract read
In one paragraph

Article in Brain : a journal of neurology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06940609 (Magnetic Resonance Analysis of Neural Inflammatory Factors and External Stimulation), which is not on this map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
7.5field-weighted citation impact, top 3% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT06940609 phase2recruitingnot on this mapstarted 2025, after this paper: background citation

Magnetic Resonance Analysis of Neural Inflammatory Factors and External Stimulation (MANIFEST)

TypeinterventionalSponsorUniversity of New MexicoRan2025 to 2029Enrolled60ConditionsLong COVID, Long COVID Syndrome, Long COVID-19 Syndrome, PASCArmsaccelerated intermittent theta burst stimulation
3 · Its place in the literature

Who cites it

32 citing papers in PubMed, 79 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 4 institutions in 3 countries.

Ece ErcanC. J. Gorter Center for High Field MRI, Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands.
Cesar Magro-ChecaDepartment of Rheumatology, Leiden University Medical Center, Leiden, The Netherlands.
Romain ValabregueInstitut du Cerveau et de la Moelle épinière - ICM, Centre for NeuroImaging Research - CENIR, Paris, France Sorbonne Universités, UPMC Paris 06, Inserm UMR S 1127, CNRS UMR 7225, F-75013, Paris, France.
Francesca BranzoliInstitut du Cerveau et de la Moelle épinière - ICM, Centre for NeuroImaging Research - CENIR, Paris, France Sorbonne Universités, UPMC Paris 06, Inserm UMR S 1127, CNRS UMR 7225, F-75013, Paris, France.
Emily T WoodDepartment of Neuroscience, Johns Hopkins University, Baltimore, Maryland, USA Translational Neuroradiology Unit and 4 Neuroimmunology Clinic (NINDS), National Institutes of Health, Bethesda, Maryland, USA.
Gerda M Steup-BeekmanDepartment of Rheumatology, Leiden University Medical Center, Leiden, The Netherlands.
Andrew G WebbC. J. Gorter Center for High Field MRI, Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands.
Tom W J HuizingaDepartment of Rheumatology, Leiden University Medical Center, Leiden, The Netherlands.
Mark A van BuchemDepartment of Radiology, Leiden University Medical Center, Leiden, The Netherlands.
Itamar RonenC. J. Gorter Center for High Field MRI, Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands i.ronen@lumc.nl.
Leiden University Medical Center · NLNational Institutes of Health · USSorbonne Université · FRUniversité Paris Cité · FR

Funding

MEDICAL SCIENTIST TRAINING PROGRAMT32GM007309 · NIGMS · JOHNS HOPKINS UNIVERSITY · PI COX, ANDREA L · 1985 to 2019
$43.2M
NIGMS NIH HHS T32 GM007309
6 · The paper itself

Abstract

Systemic lupus erythematosus is an inflammatory autoimmune disease with multi-organ involvement. Central nervous system involvement in systemic lupus erythematosus is common and results in several neurological and psychiatric symptoms that are poorly linked to standard magnetic resonance imaging outcome. Magnetic resonance imaging methods sensitive to tissue microstructural changes, such as diffusion tensor imaging and magnetization transfer imaging, show some correlation with neuropsychiatric systemic lupus erythematosus (NPSLE) symptoms. Histological examination of NPSLE brains reveals presence of cerebral oedema, loss of neurons and myelinated axons, microglial proliferation and reactive astrocytosis, microinfacrts and diffuse ischaemic changes, all of which can affect both diffusion tensor imaging and magnetization transfer imaging in a non-specific manner. Here we investigated the underlying cell-type specific microstructural alterations in the brain of patients with systemic lupus erythematosus with and without a history of central nervous system involvement. We did so combining diffusion tensor imaging with diffusion-weighted magnetic resonance spectroscopy, a powerful tool capable of characterizing cell-specific cytomorphological changes based on diffusion of intracellular metabolites. We used a 7 T magnetic resonance imaging scanner to acquire T1-weighted images, diffusion tensor imaging datasets, and single volume diffusion-weighted magnetic resonance spectroscopy data from the anterior body of the corpus callosum of 13 patients with systemic lupus erythematosus with past NPSLE, 16 patients with systemic lupus erythematosus without past NPSLE, and 19 healthy control subjects. Group comparisons were made between patients with systemic lupus erythematosus with/without past NPSLE and healthy controls on diffusion tensor imaging metrics and on diffusion coefficients of three brain metabolites: the exclusively neuronal/axonal N-acetylaspartate, and the predominantly glial creatine + phosphocreatine and choline compounds. In patients with systemic lupus erythematosus with past NPSLE, significantly higher diffusion tensor imaging mean and radial diffusivities were accompanied by a significantly higher intracellular diffusion of total creatine (0.202 ± 0.032 μm(2)/ms, P = 0.018) and total choline (0.142 ± 0.031 μm(2)/ms, P = 0.044) compared to healthy controls (0.171 ± 0.024 μm(2)/ms, 0.124 ± 0.018 μm(2)/ms, respectively). Total N-acetylaspartate, total creatine and total choline diffusion values from all patients with systemic lupus erythematosus correlated positively with systemic lupus erythematosus disease activity index score (P = 0.033, P = 0.040, P = 0.008, respectively). Our results indicate that intracellular alterations, and in particular changes in glia, as evidenced by increase in the average diffusivities of total choline and total creatine, correlate with systemic lupus erythematosus activity. The higher diffusivity of total creatine and total choline in patients with NPSLE, as well as the positive correlation of these diffusivities with the systemic lupus erythematosus disease activity index are in line with cytomorphological changes in reactive glia, suggesting that the diffusivities of choline compounds and of total creatine are potentially unique markers for glial reactivity in response to inflammation.

Indexed as

AdultAspartic AcidAxonsCase-Control StudiesCholineCorpus CallosumCreatineDiffusion Tensor ImagingFemaleHumansLupus Vasculitis, Central Nervous SystemMagnetic Resonance SpectroscopyMaleMiddle AgedNeurogliaPhosphocreatineAspartic AcidCholineCreatineN-acetylaspartatePhosphocreatineastrocytesbiomarkersgliosisinflammationneuropsychiatry

Identifiers

PMID26969685
PMCPMC5006250
OpenAlexW2343541505

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Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.