The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
T 2 -Weighted MRI Detects Presymptomatic Pathology in the SOD1 Mouse Model of ALS
Open accessAbstract
Neuroinflammation has been identified as a potential therapeutic target in amyotrophic lateral sclerosis (ALS), but relevant biomarkers are needed. The superoxide dismutase (SOD1) G93A transgenic mouse model of ALS offers a unique opportunity to study and potentially manipulate presymptomatic pathology. While T 2 -weighted magnetic resonance imaging (MRI) has been shown to be sensitive to pathologic changes at symptom onset, no earlier biomarkers were previously identified and the underlying histopathologic correlates remain uncertain. To address these issues, we used a multimodal MRI approach targeting structural ( T 2 , T 2 , apparent diffusion coefficient (ADC), magnetization transfer ratio (MTR)), vascular (gadolinium diethylene triamine pentaacetic acid), and endothelial (vascular cell adhesion molecule-microparticles of iron oxide) changes, together with histopathologic analysis from presymptomatic to symptomatic stages of disease. Presymptomatic changes in brainstem nuclei were evident on T 2 -weighted images from as early as 60 days ( P<0.05). Histologic indices of vacuolation, astro- and microglial activation all correlated with T 2 -weighted changes. Significant reductions in ADC ( P<0.01) and MTR ( P<0.05) were found at 120 days in the same brainstem nuclei. No changes in T 1 relaxation, vascular permeability, or endothelial activation were found at any stage of disease. These findings suggest that T 2 -weighted MRI offers the strongest biomarker potential in this model, and that MRI has unique potential for noninvasive and longitudinal assessment of presymptomatically applied therapeutic and neuroprotective agents.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
One study failed to detect any T1-enhancement after gadolinium injection in SOD1 G93A mice, suggesting no change in BBB and BSCB integrity.
“One study, however, failed to detect any T1-enhancement after gadolinium injection in SOD1 G93A mice, suggesting no change in BBB and BSCB integrity (166), in contrast to several independent previous studies discussed above showing disrupted BSCB and BBB in SOD1 G93A mice (20, 50, 51, 194, 196, 415, 431, 432, 687, 688).”
From Blood-Brain Barrier: From Physiology to Disease and Back (2019) · cites this paper as [166]
The Results section (page unavailable) reports no increase in brain vascular permeability on gadolinium-enhanced T1 MRI in SOD1G93A mice. The Figure 5 caption also says no change was seen in the spinal cord, but the paper does not clearly report a spinal-cord T1-enhancement result. Thus the BBB finding is supported, while the claim that the gadolinium result establishes unchanged BSCB integrity goes beyond the stated evidence. (LLM, conf=0.84)
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Kiernan, M. C., Vucic, S., Cheah, B. C., Turner, M. R., Eisen, A., Hardiman, O., Burrell, J. R., & Zoing, M. C. (2011) · The Lancet · doi:10.1016/s0140-6736(10)61156-7 · Cited by 2,603
Self-citationALS-causing SOD1 mutants generate vascular changes prior to motor neuron degeneration
Zhong, Z., Deane, R., Ali, Z., Parisi, M., Shapovalov, Y., O'Banion, M. K., Stojanovic, K., Sagare, A., Boillee, S., Cleveland, D. W., et al. (2008) · Nature Neuroscience · doi:10.1038/nn2073 · Cited by 476
Broom, K. A., Anthony, D. C., Blamire, A. M., Waters, S., Styles, P., Perry, V. H., & Sibson, N. R. (2005) · Journal of Cerebral Blood Flow & Metabolism · doi:10.1038/sj.jcbfm.9600020 · Cited by 47
Self-citation
Flagged first, then by citations
Research works printed but not linked: 37
- 10.1126/science.8209258 · DOI · Paper page
- 10.1016/j.pneurobio.2008.01.001 · DOI
- 10.3109/17482960903545334 · DOI
- 10.1097/00001756-200305230-00029 · DOI
- 10.3109/17482968.2011.623300 · DOI
- 10.1016/j.expneurol.2006.04.007 · DOI
- 10.1111/j.1460-9568.2007.05831.x · DOI
- 10.1111/j.1460-9568.2004.03648.x · DOI
- 10.1097/00001756-200410050-00026 · DOI
- 10.1371/journal.pone.0001205 · DOI
- 10.1016/j.brainres.2007.04.044 · DOI · Paper page
- 10.1002/jnr.22594 · DOI · Paper page
- 10.1002/ar.20995 · DOI · Paper page
- Bataveljic D, 2009, Gen Physiol Biophys, 28, 212
- 10.1038/nm1631 · DOI
- 10.1073/pnas.1117412109 · DOI
- Serres S, 2009, NMR Biomed, 22, 1014, 10.1002/nbm.1404 · DOI
- 10.1016/j.nbd.2007.04.001 · DOI
- Paxinos G, 2004, The Mouse Brain in Stereotaxic Coordinates.
- 10.1056/NEJM199412223312516 · DOI
- 10.1002/(SICI)1096-9861(20000103)416:1<112::AID-CNE9>3.0.CO;2-K · DOI
- 10.3109/00207459108985979 · DOI
- 10.1111/j.1468-1331.2010.02951.x · DOI
- 10.1212/WNL.50.1.72 · DOI
- 10.1097/00005072-198911000-00008 · DOI
- Brant-Zawadzki M, 1984, AJNR Am J Neuroradiol, 5, 125
- 10.1002/nbm.1567 · DOI
- Kato Y, 1997, AJNR Am J Neuroradiol, 18, 1541
- da Rocha AJ, 2004, AJNR Am J Neuroradiol, 25, 1509
- 10.1212/WNL.0b013e3181fb84d1 · DOI
- 10.1007/s00330-003-1843-6 · DOI
- 10.1212/WNL.45.3.478 · DOI
- 10.1523/JNEUROSCI.2614-05.2005 · DOI · Paper page
- 10.1096/fj.11-183772 · DOI
- 10.1083/jcb.113.5.1203 · DOI
- 10.1159/000121494 · DOI
- 10.1002/mus.23782 · DOI
Cited by
Sorted by citations
Blood-Brain Barrier: From Physiology to Disease and Back
Sweeney, M. D., Zhao, Z., Montagne, A., Nelson, A. R., & Zlokovic, B. V. (2019) · Physiological Reviews · doi:10.1152/physrev.00050.2017 · Cited by 2,312
Mouse models of neurodegenerative disease: preclinical imaging and neurovascular component
Albanese, S., Greco, A., Auletta, L., & Mancini, M. (2018) · Brain Imaging and Behavior · doi:10.1007/s11682-017-9770-3 · Cited by 16
Metadata
- Authors
- Evans, M. C., Serres, S., Khrapitchev, A. A., Stolp, H. B., Anthony, D. C., Talbot, K., Turner, M. R., & Sibson, N. R.
- Affiliations
- University of Oxford (GB)
- Corresponding author
- Turner, Martin R
- ORCID
- Venue
- Journal of Cerebral Blood Flow & Metabolism
- Publisher
- SAGE Publications
- Published
- 2014-02-05
- Volume
- 34
- Issue
- 5
- Pages
- 785-793
- ISSN
- 0271-678X (ISSN-L)
- 1559-7016
- PMC
- PMC4013759
- OpenAlex
- W2030984455
- Cited by
- 37
- References
- 3
- Citations by year
- 2025: 2 · 2024: 2 · 2023: 1 · 2022: 3 · 2021: 1 · 2020: 6 · 2019: 1 · 2018: 8 · 2017: 6 · 2016: 2 · 2015: 2 · 2014: 3
- FWCI
- 2.83
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Locations
- Journal of Cerebral Blood Flow & Metabolism (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Research Portal (King's College London) (publishedVersion, other-oa)
- Repository@Nottingham (University of Nottingham) (publishedVersion, cc-by)
- Repository@Nottingham (University of Nottingham) (submittedVersion, cc-by)
- RVC Research Online (Royal Veterinary College) (submittedVersion, cc-by)
- Funders
- Cancer Research UK (C5255, A12678, 16945, C5255/A12678)
- Motor Neurone Disease Association (G0701923, TURNER/JAN13/944-795)
- Medical Research Council (C5255/A12678, G0701923)
- Topics
- Health Sciences › Medicine › Clinical Neurology › Amyotrophic Lateral Sclerosis Research
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced MRI Techniques and Applications
- Health Sciences › Medicine › Clinical Neurology › Multiple Sclerosis Research Studies
- Keywords
- amyotrophic lateral sclerosis, T2-weighted MRI, neuroinflammation, brainstem nuclei, apparent diffusion coefficient, magnetization transfer ratio, Gd-DTPA, iron oxide microparticles, astrocyte activation, microglial activation, vacuolization, MRI biomarkers, neuroprotection
- MeSH terms
- Superoxide Dismutase-1, Amyotrophic Lateral Sclerosis, Animals, Astrocytes, Blood-Brain Barrier, Brain Stem, Disease Models, Animal, Humans, Magnetic Resonance Imaging, Mice, Transgenic, Motor Activity, Mutation, Permeability, Spinal Cord, Superoxide Dismutase, Weight Loss, Microglia, Mice
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review