Evidence map›Paper›PMID 41206280›Full record

SynthesisBritish journal of anaesthesia2026

Comparative transcriptomic meta-analysis reveals elevated TCL1A expression in human circulating immune cells across chronic pain conditions.

Richard K Perez, Vivianne L Tawfik

Abstract readMeta-AnalysisComparative Study
In one paragraph

Synthesis in British journal of anaesthesia, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–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

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. 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

2 authors.

Richard K PerezStanford University School of Medicine, Department of Anesthesiology, Perioperative and Pain Medicine, Stanford, CA, USA. Electronic address: Richard.k.perez@gmail.com.
Vivianne L TawfikStanford University School of Medicine, Department of Anesthesiology, Perioperative and Pain Medicine, Stanford, CA, USA.

Funding

Myeloid lineage targeting to improve recovery from injury and surgery: Cellular and molecular mechanismsR35GM137906 · NIGMS · STANFORD UNIVERSITY · PI Vivianne L Tawfik · 2020 to 2026
$3.0M
NIGMS NIH HHS R35 GM137906
6 · The paper itself

Abstract

backgroundChronic pain affects millions worldwide. Its management is complicated by diverse risk factors, symptom variability, and the lack of biomarkers. Research often explores pain through the lens of the human immune system, as immune dysregulation may contribute to pain. However, most studies analyse both sexes together despite known sex differences in immune responses, with women facing higher risks of autoimmunity and chronic pain. Pooling data and adjusting for sex could obscure sex-specific immune signatures linked to chronic pain, limiting our understanding of its origins.

methodsUsing transcriptomic meta-analysis, we reprocessed several bulk RNA-sequencing studies of human circulating immune cells across multiple chronic pain conditions to examine both common and previously overlooked sex-specific transcriptomic signatures.

resultsOur meta-analysis included bulk RNA-sequencing data from circulating immune cells of 142 patients with chronic pain and 154 control subjects across six chronic pain conditions. Combined-sex analysis revealed differential expression of 19 genes in chronic pain. Stratification by sex identified 34 altered genes in women, including TCL1A, which is implicated in autoimmunity. Notably, TCL1A expression correlated with neuropathic symptom severity (P<0.05). Protein-level validation in an independent cohort confirmed these findings in women with neuropathic pain.

conclusionsThrough transcriptomic meta-analysis of open-access data, we identified genes conserved across pain conditions and uncovered sex-specific signatures, including increased expression of TCL1A as a potential biomarker for neuropathic pain in a subset of women.

Indexed as

Chronic PainProto-Oncogene ProteinsTranscriptomeAdultFemaleGene Expression ProfilingHumansMaleMiddle AgedSex FactorsProto-Oncogene ProteinsTCL1A protein, humanB cellschronic paindifferentially expressed geneERAP2neuropathic painTCL1Atranscriptomic meta-analysisUK Biobank

Identifiers

PMID41206280
PMCPMC12704929

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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.