Evidence map›Paper›PMID 33512429›Full record

ArticleThe Journal of experimental medicine2021

Diagnostic blood RNA profiles for human acute spinal cord injury.

Nikos Kyritsis, Abel Torres-Espín, Patrick G Schupp, J Russell Huie, Austin Chou, Xuan Duong-Fernandez, Leigh H Thomas, Rachel E Tsolinas, Debra D Hemmerle, Lisa U Pascual and 13 more

Open access · hybridAbstract read
In one paragraph

Article in The Journal of experimental medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed, 1 pooled it
4.1field-weighted citation impact, top 5% 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

45 citing papers in PubMed, 1 synthesis or guideline pooled it, 74 citations in OpenAlex.

  1. Pooled it
  2. A multi-analyte blood test for acute spinal cord injury.The Journal of clinical investigation · 2025
    Trial
  3. Article
  4. Transcriptomics Insights into Spinal Cord Injury for Therapy Development.International journal of molecular sciences · 2026
    Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Exploring the Landscape of Biomarkers in Spinal Cord Injury.Topics in spinal cord injury rehabilitation · 2025
    Review
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

23 authors at 2 institutions in 1 country.

Nikos KyritsisWeill Institute for Neurosciences, Brain and Spinal Injury Center, University of California, San Francisco, San Francisco, CA.
Abel Torres-EspínWeill Institute for Neurosciences, Brain and Spinal Injury Center, University of California, San Francisco, San Francisco, CA.
Patrick G SchuppDepartment of Neurological Surgery, University of California, San Francisco, San Francisco, CA.
J Russell HuieWeill Institute for Neurosciences, Brain and Spinal Injury Center, University of California, San Francisco, San Francisco, CA.
Austin ChouWeill Institute for Neurosciences, Brain and Spinal Injury Center, University of California, San Francisco, San Francisco, CA.
Xuan Duong-FernandezWeill Institute for Neurosciences, Brain and Spinal Injury Center, University of California, San Francisco, San Francisco, CA.
Leigh H ThomasWeill Institute for Neurosciences, Brain and Spinal Injury Center, University of California, San Francisco, San Francisco, CA.
Rachel E TsolinasWeill Institute for Neurosciences, Brain and Spinal Injury Center, University of California, San Francisco, San Francisco, CA.
Debra D HemmerleWeill Institute for Neurosciences, Brain and Spinal Injury Center, University of California, San Francisco, San Francisco, CA.
Lisa U PascualOrthopaedic Trauma Institute, Department of Orthopaedic Surgery, University of California, San Francisco, San Francisco, CA.
Vineeta SinghWeill Institute for Neurosciences, Brain and Spinal Injury Center, University of California, San Francisco, San Francisco, CA.
Jonathan Z PanWeill Institute for Neurosciences, Brain and Spinal Injury Center, University of California, San Francisco, San Francisco, CA.
Jason F TalbottZuckerberg San Francisco General Hospital and Trauma Center, San Francisco, CA.
William D WhetstoneDepartment of Emergency Medicine, University of California, San Francisco, San Francisco, CA.
John F BurkeDepartment of Neurological Surgery, University of California, San Francisco, San Francisco, CA.
Anthony M DiGiorgioWeill Institute for Neurosciences, Brain and Spinal Injury Center, University of California, San Francisco, San Francisco, CA.
Philip R WeinsteinDepartment of Neurological Surgery, University of California, San Francisco, San Francisco, CA.
Geoffrey T ManleyWeill Institute for Neurosciences, Brain and Spinal Injury Center, University of California, San Francisco, San Francisco, CA.
Sanjay S DhallWeill Institute for Neurosciences, Brain and Spinal Injury Center, University of California, San Francisco, San Francisco, CA.
Adam R FergusonWeill Institute for Neurosciences, Brain and Spinal Injury Center, University of California, San Francisco, San Francisco, CA.
Michael C OldhamDepartment of Neurological Surgery, University of California, San Francisco, San Francisco, CA.
Jacqueline C BresnahanWeill Institute for Neurosciences, Brain and Spinal Injury Center, University of California, San Francisco, San Francisco, CA.
Michael S BeattieWeill Institute for Neurosciences, Brain and Spinal Injury Center, University of California, San Francisco, San Francisco, CA.
San Francisco General Hospital · USUniversity of California, San Francisco · US

Funding

Training Program in Translational Brain Tumor ResearchT32CA151022 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Joseph F Costello · 2010 to 2026
$6.6M
Multiscale transcriptional architecture of the human brainR01MH123156 · NIMH · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI OLDHAM, MICHAEL CLARK · 2020 to 2023
$2.4M
Decoding the molecular basis of cellular identity in the human brainR01MH113896 · NIMH · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI OLDHAM, MICHAEL CLARK · 2018 to 2022
$2.0M
Maladaptive Plasticity in Spinal Cord Injury: Cellular MechanismsR01NS088475 · NINDS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI FERGUSON, ADAM R · 2015 to 2019
$1.7M
Translational Outcomes Project: Visualizing Syndromic Information and Outcomes for Neurotrauma (TOP-VISION)UH3NS106899 · NINDS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI BEATTIE, MICHAEL S, BRESNAHAN, JACQUELINE C · 2020 to 2022
$1.2M
Translational Outcomes Project: Visualizing Syndromic Information and Outcomes for Neurotrauma (TOP-VISION)UG3NS106899 · NINDS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI BEATTIE, MICHAEL S, BRESNAHAN, JACQUELINE C · 2018 to 2019
$480k
Leveraging data-science for discovery in chronic TBII01RX002787 · VA · VETERANS AFFAIRS MED CTR SAN FRANCISCO · PI FERGUSON, ADAM R · 2018 to 2025
–
SCI Consortium Study: Harnessing big-data for plasticity and rehabilitation in translational SCII01RX002245 · VA · VETERANS AFFAIRS MED CTR SAN FRANCISCO · PI ADAM R FERGUSON · 2017 to 2026
–
NCI NIH HHS T32 CA151022NIMH NIH HHS R01 MH113896NIMH NIH HHS R01 MH123156NINDS NIH HHS R01 NS088475NINDS NIH HHS UG3 NS106899NINDS NIH HHS UH3 NS106899RRD VA I01 RX002245RRD VA I01 RX002787
6 · The paper itself

Abstract

Diagnosis of spinal cord injury (SCI) severity at the ultra-acute stage is of great importance for emergency clinical care of patients as well as for potential enrollment into clinical trials. The lack of a diagnostic biomarker for SCI has played a major role in the poor results of clinical trials. We analyzed global gene expression in peripheral white blood cells during the acute injury phase and identified 197 genes whose expression changed after SCI compared with healthy and trauma controls and in direct relation to SCI severity. Unsupervised coexpression network analysis identified several gene modules that predicted injury severity (AIS grades) with an overall accuracy of 72.7% and included signatures of immune cell subtypes. Specifically, for complete SCIs (AIS A), ROC analysis showed impressive specificity and sensitivity (AUC: 0.865). Similar precision was also shown for AIS D SCIs (AUC: 0.938). Our findings indicate that global transcriptomic changes in peripheral blood cells have diagnostic and potentially prognostic value for SCI severity.

Indexed as

Case-Control StudiesGene Expression ProfilingGene Expression RegulationGene OntologyGene Regulatory NetworksHumansLeukocytesLogistic ModelsRNASpinal Cord InjuriesTranscriptomeRNA

Identifiers

PMID33512429
PMCPMC7852457
OpenAlexW3121170363

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.