Evidence map›Paper›PMID 28498852›Full record

ArticlePloS one2017

Ultra high-field (7tesla) magnetic resonance spectroscopy in Amyotrophic Lateral Sclerosis.

Nazem Atassi, Maosheng Xu, Christina Triantafyllou, Boris Keil, Robert Lawson, Paul Cernasov, Elena Ratti, Christopher J Long, Sabrina Paganoni, Alyssa Murphy and 4 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed, 1 pooled it
4.2field-weighted citation impact, top 6% 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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

34 citing papers in PubMed, 1 synthesis or guideline pooled it, 54 citations in OpenAlex.

  1. Present and Future of Ultra-High Field MRI in Neurodegenerative Disorders.Current neurology and neuroscience reports · 2018
    Pooled it
  2. Higher fasting brain glucose is associated with lower gray matter volume in healthy adults.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2026
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  14. MR spectroscopy and imaging-derived measurements in the supplementary motor area for biomarkers of amyotrophic lateral sclerosis.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2021
    Article
  15. Review
  16. Article
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  20. Frontiers in neurology · 2021
    Article
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

14 authors at 5 institutions in 2 countries.

Nazem AtassiNeurological Clinical Research Institute (NCRI), Department of Neurology, Massachusetts General Hospital, and Harvard Medical School, Boston, Massachusetts, United States of America.
Maosheng XuDepartment of Radiology, First Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou, P.R. China.
Christina TriantafyllouDepartment of Radiology, Massachusetts General Hospital, Athinoula A. Martinos Center for Biomedical Imaging, and Harvard Medical School, Charlestown, Massachusetts, United States of America.
Boris KeilDepartment of Radiology, Massachusetts General Hospital, Athinoula A. Martinos Center for Biomedical Imaging, and Harvard Medical School, Charlestown, Massachusetts, United States of America.
Robert LawsonNeurological Clinical Research Institute (NCRI), Department of Neurology, Massachusetts General Hospital, and Harvard Medical School, Boston, Massachusetts, United States of America.
Paul CernasovNeurological Clinical Research Institute (NCRI), Department of Neurology, Massachusetts General Hospital, and Harvard Medical School, Boston, Massachusetts, United States of America.
Elena RattiNeurological Clinical Research Institute (NCRI), Department of Neurology, Massachusetts General Hospital, and Harvard Medical School, Boston, Massachusetts, United States of America.
Christopher J LongMassachusetts Institute of Technology, Sloan School of Management, Cambridge, Massachusetts, United States of America.
Sabrina PaganoniDepartment of Physical Medicine and Rehabilitation, Spaulding Rehabilitation Hospital, Charlestown, Massachusetts, United States of America.
Alyssa MurphyNeurological Clinical Research Institute (NCRI), Department of Neurology, Massachusetts General Hospital, and Harvard Medical School, Boston, Massachusetts, United States of America.
Nouha SalibiSiemens Healthineers, MR R&D, Siemens, Auburn, Alabama, United States of America.
Ravi SeethamrajuSiemens Healthineers, MR R&D, Siemens, Charlestown, Massachusetts, United States of America.
Bruce RosenDepartment of Radiology, Massachusetts General Hospital, Athinoula A. Martinos Center for Biomedical Imaging, and Harvard Medical School, Charlestown, Massachusetts, United States of America.
Eva-Maria RataiDepartment of Radiology, Massachusetts General Hospital, Athinoula A. Martinos Center for Biomedical Imaging, and Harvard Medical School, Charlestown, Massachusetts, United States of America.ORCID http://orcid.org/0000-0001-9476-6207
Harvard University · USSiemens Healthcare (United States) · USMassachusetts Institute of Technology · USSpaulding Rehabilitation Hospital · USZhejiang Chinese Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The main objective of this study was to utilize high field (7T) in vivo proton magnetic resonance imaging to increase the ability to detect metabolite changes in people with ALS, specifically, to quantify levels of glutamine and glutamine separately. The second objective of this study was to correlate metabolic markers with clinical outcomes of disease progression. 13 ALS participants and 12 age-matched healthy controls (HC) underwent 7 Tesla MRI and MRS. Single voxel MR spectra were acquired from the left precentral gyrus using a very short echo time (TE = 5 ms) STEAM sequence. MRS data was quantified using LCModel and correlated to clinical outcome markers. N-acetylaspartate (NAA) and total NAA (tNA, NAA + NAAG) were decreased by 17% in people with ALS compared to HC (P = 0.004 and P = 0.005, respectively) indicating neuronal injury and/or loss in the precentral gyrus. tNA correlated with disease progression as measured by forced vital capacity (FVC) (P = 0.014; Rρ = 0.66) and tNA/tCr correlated with overall functional decline as measured by worsening of the ALS Functional Rating Scale-Revised (ALSFRS-R) (P = 0.004; Rρ = -0.74). These findings underscore the importance of NAA as a reliable biomarker for neuronal injury and disease progression in ALS. Glutamate (Glu) was 15% decreased in people with ALS compared to HC (P = 0.02) while glutamine (Gln) concentrations were similar between the two groups. Furthermore, the decrease in Glu correlated with the decrease in FVC (P = 0.013; Rρ = 0.66), a clinical marker of disease progression. The decrease in Glu is most likely driven by intracellular Glu loss due to neuronal loss and degeneration. Neither choline containing components (Cho), a marker for cell membrane turnover, nor myo-Inositol (mI), a suspected marker for neuroinflammation, showed significant differences between the two groups. However, mI/tNA was correlated with upper motor neuron burden (P = 0.004, Rρ = 0.74), which may reflect a relative increase of activated microglia around motor neurons. In summary, 7T 1H MRS is a powerful non-invasive imaging technique to study molecular changes related to neuronal injury and/or loss in people with ALS.

Indexed as

AdultAgedAmyotrophic Lateral SclerosisAspartic AcidFemaleGlutamic AcidGlutamineHumansMagnetic Resonance SpectroscopyMaleMiddle AgedMotor CortexMotor NeuronsAspartic AcidGlutamic AcidGlutamineN-acetylaspartate

Identifiers

PMID28498852
PMCPMC5428977
OpenAlexW2613485280

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.