Evidence map›Paper›PMID 33853401›Full record

ArticleMolecular pain

Systemic gene expression profiles according to pain types in individuals with chronic spinal cord injury.

Debra Morrison, Anthony A Arcese, Janay Parrish, Katie Gibbs, Andrew Beaufort, Paige Herman, Adam B Stein, Ona Bloom

Abstract read
In one paragraph

Article in Molecular pain. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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

4 citing papers in PubMed.

  1. Immune system expression profiling in patients experiencing low back pain: A pilot study.PM & R : the journal of injury, function, and rehabilitation · 2026
    Observational
  2. Article
  3. Article
  4. 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

8 authors.

Debra MorrisonInstitute of Molecular Medicine, The Feinstein Institutes for Medical Research, Manhasset, NY, USA.
Anthony A ArceseInstitute of Molecular Medicine, The Feinstein Institutes for Medical Research, Manhasset, NY, USA.
Janay ParrishDonald and Barbara Zucker School of Medicine at Hofstra-Northwell, Hempstead, NY, USA.
Katie GibbsInstitute of Molecular Medicine, The Feinstein Institutes for Medical Research, Manhasset, NY, USA.
Andrew BeaufortInstitute of Molecular Medicine, The Feinstein Institutes for Medical Research, Manhasset, NY, USA.
Paige HermanInstitute of Molecular Medicine, The Feinstein Institutes for Medical Research, Manhasset, NY, USA.
Adam B SteinDepartment of Physical Medicine and Rehabilitation, Zucker School of Medicine at Hofstra-Northwell, Hempstead, NY, USA.
Ona BloomInstitute of Molecular Medicine, The Feinstein Institutes for Medical Research, Manhasset, NY, USA.ORCID 0000-0002-8340-2392

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pain affects most individuals with traumatic spinal cord injury (SCI). Major pain types after SCI are neuropathic or nociceptive, often experienced concurrently. Pain after SCI may be refractory to treatments and negatively affects quality of life. Previously, we analyzed whole blood gene expression in individuals with chronic SCI compared to able-bodied (AB) individuals. Most participants with SCI reported pain (N = 19/28). Here, we examined gene expression of participants with SCI by pain status. Compared to AB, participants with SCI with pain had 468 differentially expressed (DE) genes; participants without pain had 564 DE genes (FDR < 0.05). Among DE genes distinct to participants with SCI with pain, Gene Ontology Biological Process (GOBP) analysis showed upregulated genes were enriched in categories related to T cell activation or inflammation; downregulated genes were enriched in categories related to protein proteolysis and catabolism. Although most participants with pain reported multiple pain types concurrently, we performed a preliminary comparison of gene expression by worst pain problem type. Compared to AB, participants with SCI who ranked neuropathic (N = 9) as worst had one distinct DE gene (TMEM156); participants who ranked nociceptive (N = 10) as worst had 61 distinct DE genes (FDR < 0.05). In the nociceptive group, the GOBP category with the lowest P-value identified among upregulated genes was "positive regulation of T cell activation"; among downregulated genes it was "receptor tyrosine kinase binding". An exploratory comparison of pain groups by principal components analysis also showed that the nociceptive group was enriched in T-cell related genes. A correlation analysis identified genes significantly correlated with pain intensity in the neuropathic or nociceptive groups (N = 145, 65, respectively, Pearson's correlation r > 0.8). While this pilot study highlights challenges of identifying gene expression profiles that correlate with specific types of pain in individuals with SCI, it suggests that T-cell signaling should be further investigated in this context.

Indexed as

Gene Expression RegulationTranscriptomeAdultAgedAged, 80 and overChronic PainFemaleGene Expression ProfilingHumansMaleMiddle AgedPain MeasurementProspective StudiesSpinal Cord InjuriesYoung Adultgene expressionneuropathicnociceptivepainSpinal cord injury

Identifiers

PMID33853401
PMCPMC8053765

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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.