Evidence map›Paper›PMID 28114622›Full record

ArticleJAMA neurology2017

Association Between Serum MicroRNAs and Magnetic Resonance Imaging Measures of Multiple Sclerosis Severity.

Keren Regev, Brian C Healy, Fariha Khalid, Anu Paul, Renxin Chu, Shahamat Tauhid, Subhash Tummala, Camilo Diaz-Cruz, Radhika Raheja, Maria A Mazzola and 8 more

Open access · bronzeAbstract read
In one paragraph

Article in JAMA neurology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed, 1 pooled it
2.9field-weighted citation impact, top 8% 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

44 citing papers in PubMed, 1 synthesis or guideline pooled it, 77 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. The neuropathobiology of multiple sclerosis.Nature reviews. Neuroscience · 2024
    Review
  10. Review
  11. Article
  12. Article
  13. Review
  14. Article
  15. Review
  16. miRNA Signature in CSF From Patients With Primary Progressive Multiple Sclerosis.Neurology(R) neuroimmunology & neuroinflammation · 2023
    Article
  17. Article
  18. Article
  19. Review
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

18 authors at 3 institutions in 1 country.

Keren RegevAnn Romney Center for Neurologic Diseases, Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts.
Brian C HealyAnn Romney Center for Neurologic Diseases, Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts2Biostatistics Center, Massachusetts General Hospital, Boston.
Fariha KhalidAnn Romney Center for Neurologic Diseases, Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts3Partners Multiple Sclerosis Center, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts.
Anu PaulAnn Romney Center for Neurologic Diseases, Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts.
Renxin ChuAnn Romney Center for Neurologic Diseases, Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts3Partners Multiple Sclerosis Center, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts.
Shahamat TauhidAnn Romney Center for Neurologic Diseases, Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts3Partners Multiple Sclerosis Center, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts.
Subhash TummalaAnn Romney Center for Neurologic Diseases, Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts3Partners Multiple Sclerosis Center, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts.
Camilo Diaz-CruzPartners Multiple Sclerosis Center, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts.
Radhika RahejaAnn Romney Center for Neurologic Diseases, Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts.
Maria A MazzolaAnn Romney Center for Neurologic Diseases, Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts.
Felipe von GlehnAnn Romney Center for Neurologic Diseases, Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts.
Pia KivisakkAnn Romney Center for Neurologic Diseases, Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts.
Sheena L DupuyAnn Romney Center for Neurologic Diseases, Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts3Partners Multiple Sclerosis Center, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts.
Gloria KimAnn Romney Center for Neurologic Diseases, Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts3Partners Multiple Sclerosis Center, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts.
Tanuja ChitnisAnn Romney Center for Neurologic Diseases, Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts3Partners Multiple Sclerosis Center, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts.
Howard L WeinerAnn Romney Center for Neurologic Diseases, Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts3Partners Multiple Sclerosis Center, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts.
Roopali GandhiAnn Romney Center for Neurologic Diseases, Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts.
Rohit BakshiAnn Romney Center for Neurologic Diseases, Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts3Partners Multiple Sclerosis Center, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts4Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts.
Harvard University · USBrigham and Women's Hospital · USMassachusetts General Hospital · US

Funding

Evaluation of biofluid exRNA isolation by small RNAseqUH3TR000890 · NCATS · BRIGHAM AND WOMEN'S HOSPITAL · PI WEINER, HOWARD L · 2015 to 2017
$1.1M
NCATS NIH HHS UH3 TR000890
6 · The paper itself

Abstract

Importance: MicroRNAs (miRNAs) are promising multiple sclerosis (MS) biomarkers. Establishing the association between miRNAs and magnetic resonance imaging (MRI) measures of disease severity will help define their significance and potential impact. Objective: To correlate circulating miRNAs in the serum of patients with MS to brain and spinal MRI. Design, Setting, and Participants: A cross-sectional study comparing serum miRNA samples with MRI metrics was conducted at a tertiary MS referral center. Two independent cohorts (41 and 79 patients) were retrospectively identified from the Comprehensive Longitudinal Investigation of Multiple Sclerosis at the Brigham and Women's Hospital. Expression of miRNA was determined by locked nucleic acid-based quantitative real-time polymerase chain reaction. Spearman correlation coefficients were used to test the association between miRNA and brain lesions (T2 hyperintense lesion volume [T2LV]), the ratio of T1 hypointense lesion volume [T1LV] to T2LV [T1:T2]), brain atrophy (whole brain and gray matter), and cervical spinal cord lesions (T2LV) and atrophy. The study was conducted from December 2013 to April 2016. Main Outcomes and Measures: miRNA expression. Results: Of the 120 patients included in the study, cohort 1 included 41 participants (7 [17.1%] men), with mean (SD) age of 47.7 (9.5) years; cohort 2 had 79 participants (26 [32.9%] men) with a mean (SD) age of 43.0 (7.5) years. Associations between miRNAs and MRIs were both protective and pathogenic. Regarding miRNA signatures, a topographic specificity differed for the brain vs the spinal cord, and the signature differed between T2LV and atrophy/destructive measures. Four miRNAs showed similar significant protective correlations with T1:T2 in both cohorts, with the highest for hsa.miR.143.3p (cohort 1: Spearman correlation coefficient rs = -0.452, P = .003; cohort 2: rs = -0.225, P = .046); the others included hsa.miR.142.5p (cohort 1: rs = -0.424, P = .006; cohort 2: rs = -0.226, P = .045), hsa.miR.181c.3p (cohort 1: rs = -0.383, P = .01; cohort 2: rs = -0.222, P = .049), and hsa.miR.181c.5p (cohort 1: rs = -0.433, P = .005; cohort 2: rs = -0.231, P = .04). In the 2 cohorts, hsa.miR.486.5p (cohort 1: rs = 0.348, P = .03; cohort 2: rs = 0.254, P = .02) and hsa.miR.92a.3p (cohort 1: rs = 0.392, P = .01; cohort 2: rs = 0.222, P = .049) showed similar significant pathogenic correlations with T1:T2; hsa.miR.375 (cohort 1: rs = -0.345, P = .03; cohort 2: rs = -0.257, P = .022) and hsa.miR.629.5p (cohort 1: rs = -0.350, P = .03; cohort 2: rs = -0.269, P = .02) showed significant pathogenic correlations with brain atrophy. Although we found several miRNAs associated with MRI outcomes, none of these associations remained significant when correcting for multiple comparisons, suggesting that further validation of our findings is needed. Conclusions and Relevance: Serum miRNAs may serve as MS biomarkers for monitoring disease progression and act as surrogate markers to identify underlying disease processes.

Indexed as

Magnetic Resonance ImagingAdolescentAdultAtrophyBrainCohort StudiesDisability EvaluationFemaleHumansImage Processing, Computer-AssistedMaleMicroRNAsMiddle AgedMultiple SclerosisReproducibility of ResultsRNA, MessengerMicroRNAsRNA, Messenger

Identifiers

PMID28114622
PMCPMC6014611
OpenAlexW2582205589

What OpenQuestion holds

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Registered trials

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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.