Document Type
Article
Publication Date
8-12-2025
Abstract
Pain is the most common complication of sickle cell disease (SCD). The underlying biology of SCD pain is not well understood, which is a barrier to novel, effective analgesic and preventive therapies. A wide variability in the phenotypic expression of pain exists among individuals with SCD, despite the inheritance of a similar defective hemoglobin gene. This interindividual pain variability further complicates the ability to understand the biology and effectively treat pain. We sought to discover a biological signature comprising differentially expressed genes unique to SCD that could differentiate between individuals with varied pain frequency. We conducted plasma-induced transcription analysis from 149 individuals with SCD and 60 Black individuals without SCD from multiple sites. We discovered 3028 differentially expressed genes that underwent weighted gene coexpression network analysis to distinguish gene modules significantly associated with pain frequency. We identified 524 genes, significantly associated with pain frequency (≥|0.3| and P < .05), that were further analyzed using the "database for annotation, visualization, and integrated discovery" (DAVID) tool to delineate the biological pathways associated with these genes. The highest ranked Gene Ontology process from DAVID was inflammatory response (P = 1.67E-12) and many related pathways were enriched (eg, response to lipopolysaccharide, and chemokine and cytokine signaling). The top 10 hub genes identified within our biological signature were TNF, CCL2, ITGAM, ITGAX, ICAM1, CCR5, CXCL2, IFNG, CCR1, and CXCL3. Future work should focus on further validating this signature and investigating the potential targets uncovered for their mechanistic and potentially therapeutic role in SCD pain.
Recommended Citation
Mucalo Katunaric, Lana; Jia, Shuang; Singh, Ashima; Roethle, Mark F.; Panepinto, Julie A.; Brousseau, David C.; Hessner, Martin J.; and Brandow, Amanda M., "Molecular Inflammatory Expression Profiles Associated With the Frequency of Pain in Individuals With Sickle Cell Disease" (2025). Department of Pediatrics Faculty Papers. Paper 182.
https://jdc.jefferson.edu/pedsfp/182
Creative Commons License

This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.
PubMed ID
40238896
Language
English
Included in
Genetic Phenomena Commons, Pathological Conditions, Signs and Symptoms Commons, Pediatrics Commons


Comments
This article is the author’s final published version in Blood Advances, Volume 9, Issue 15, 2025, Pages 3790-3800.
The published version is available at https://doi.org/10.1182/bloodadvances.2024015085. Copyright © 2025 American Society of Hematology.