Gene expression signature of human neuropathic pain identified through transcriptome analysis

Hu, Ling; Wang, Yin; Ma, Yao; Zhang, Qiushi; Xu, Qingbang

doi:10.3389/fgene.2023.1127167

Cited by 3 publications

(4 citation statements)

References 21 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“… 757 GTF2H2, KLHL5, LRRC37A4P, PRR24, MRPL23 Skin Neuropathic pain 227 0.830 - - This gene signature can differentiate neuropathic pain patients from healthy controls. 530 MYC, STAT1, TLR4, CASP5WLS Serum Chronic neuropathic pain 93 0.852 - - The combination of MYC, STAT1, TLR4, CASP5, and WLS expression serves as a biomarker panel for distinguishing chronic neuropathic pain patients from healthy controls. 758 IL-6 Serum UAP 1038 0.800 - - Serum IL-6 level combined with clinical imaging and patient subjective feeling can effectively differentiate UAP patients from healthy individuals.…”

Section: Approaches For Pain Assessment and Diagnosismentioning

confidence: 99%

“…The diagnostic model constructed by this gene expression signature can reach an area under curve (AUC) of 0.83. 530 Combinational use of anti-inflammatory and pro-inflammatory cytokines in serum, such as IL-4, IL-6, and TNF-α, has been proved as potential biomarkers of neuropathic pain or visceral hypersensitivity, with AUC at least 0.66. 531 – 533 Metabolomics has led to the emergence of serum metabolites as pain biomarkers.…”

Section: Approaches For Pain Assessment and Diagnosismentioning

confidence: 99%

See 1 more Smart Citation

Pathology of pain and its implications for therapeutic interventions

Cao,

Xu,

Shi

et al. 2024

Sig Transduct Target Ther

View full text Add to dashboard Cite

Pain is estimated to affect more than 20% of the global population, imposing incalculable health and economic burdens. Effective pain management is crucial for individuals suffering from pain. However, the current methods for pain assessment and treatment fall short of clinical needs. Benefiting from advances in neuroscience and biotechnology, the neuronal circuits and molecular mechanisms critically involved in pain modulation have been elucidated. These research achievements have incited progress in identifying new diagnostic and therapeutic targets. In this review, we first introduce fundamental knowledge about pain, setting the stage for the subsequent contents. The review next delves into the molecular mechanisms underlying pain disorders, including gene mutation, epigenetic modification, posttranslational modification, inflammasome, signaling pathways and microbiota. To better present a comprehensive view of pain research, two prominent issues, sexual dimorphism and pain comorbidities, are discussed in detail based on current findings. The status quo of pain evaluation and manipulation is summarized. A series of improved and innovative pain management strategies, such as gene therapy, monoclonal antibody, brain-computer interface and microbial intervention, are making strides towards clinical application. We highlight existing limitations and future directions for enhancing the quality of preclinical and clinical research. Efforts to decipher the complexities of pain pathology will be instrumental in translating scientific discoveries into clinical practice, thereby improving pain management from bench to bedside.

show abstract

Section: Approaches For Pain Assessment and Diagnosismentioning

confidence: 99%

Section: Approaches For Pain Assessment and Diagnosismentioning

confidence: 99%

Pathology of pain and its implications for therapeutic interventions

Cao,

Xu,

Shi

et al. 2024

Sig Transduct Target Ther

View full text Add to dashboard Cite

show abstract

“…Meanwhile, human gene expression studies have focused on identifying genes associated with specific chronic pain conditions, including fibromyalgia 21 , osteoarthritis 22 , migraine 23 , sickle cell disease 24 , endometriosis 25 , and others 26–31 . However, sample sizes tend to be small, and typically do not include brain tissue.…”

Section: Introductionmentioning

confidence: 99%

“…Rodents studies have identified >700 differentially expressed genes in brain and spinal cord, associated with a range of phenotypes including chronic pain, post-surgical pain, neuropathic pain, and spinal injury [16][17][18][19][20] . Meanwhile, human gene expression studies have focused on identifying genes associated with specific chronic pain conditions, including fibromyalgia 21 , osteoarthritis 22 , migraine 23 , sickle cell disease 24 , endometriosis 25 , and others [26][27][28][29][30][31] . However, sample sizes tend to be small, and typically do not include brain tissue.…”

Section: Introductionmentioning

confidence: 99%

The impact of chronic pain on brain gene expression

Collier,

Seah,

Hicks

et al. 2024

Preprint

View full text Add to dashboard Cite

Background: Chronic pain affects one fifth of American adults, contributing significant public health burden. Chronic pain mechanisms can be further understood through investigating brain gene expression. Methods: We tested differentially expressed genes (DEGs) in chronic pain, migraine, lifetime fentanyl and oxymorphone use, and with chronic pain genetic risk in four brain regions (dACC, DLPFC, MeA, BLA) and imputed cell type expression data from 304 postmortem donors. We compared findings across traits and with independent transcriptomics resources, and performed gene-set enrichment. Results: We identified two chronic pain DEGs: B4GALT and VEGFB in bulk dACC. We found over 2000 (primarily BLA microglia) chronic pain cell type DEGs. Findings were enriched for mouse microglia pain genes, and for hypoxia and immune response. Cross-trait DEG overlap was minimal. Conclusions: Chronic pain-associated gene expression is heterogeneous across cell type, largely distinct from that in pain-related traits, and shows BLA microglia are a key cell type.

show abstract

A single workflow for multi-species blood transcriptomics

Orcel,

Hage,

Taha

et al. 2024

BMC Genomics

View full text Add to dashboard Cite

Background Blood transcriptomic analysis is widely used to provide a detailed picture of a physiological state with potential outcomes for applications in diagnostics and monitoring of the immune response to vaccines. However, multi-species transcriptomic analysis is still a challenge from a technological point of view and a standardized workflow is urgently needed to allow interspecies comparisons. Results Here, we propose a single and complete total RNA-Seq workflow to generate reliable transcriptomic data from blood samples from humans and from animals typically used in preclinical models. Blood samples from a maximum of six individuals and four different species (rabbit, non-human primate, mouse and human) were extracted and sequenced in triplicates. The workflow was evaluated using different wet-lab and dry-lab criteria, including RNA quality and quantity, the library molarity, the number of raw sequencing reads, the Phred-score quality, the GC content, the performance of ribosomal-RNA and globin depletion, the presence of residual DNA, the strandness, the percentage of coding genes, the number of genes expressed, and the presence of saturation plateau in rarefaction curves. We identified key criteria and their associated thresholds to be achieved for validating the transcriptomic workflow. In this study, we also generated an automated analysis of the transcriptomic data that streamlines the validation of the dataset generated. Conclusions Our study has developed an end-to-end workflow that should improve the standardization and the inter-species comparison in blood transcriptomics studies. In the context of vaccines and drug development, RNA sequencing data from preclinical models can be directly compared with clinical data and used to identify potential biomarkers of value to monitor safety and efficacy.

show abstract

Gene expression signature of human neuropathic pain identified through transcriptome analysis

Cited by 3 publications

References 21 publications

Pathology of pain and its implications for therapeutic interventions

Pathology of pain and its implications for therapeutic interventions

The impact of chronic pain on brain gene expression

A single workflow for multi-species blood transcriptomics

Contact Info

Product

Resources

About