Understanding Painful versus Non-Painful Dental Pain in Male and Female Patients: A Transcriptomic Analysis of Human Biopsies
Patel, B. R.; Eskander, M.; Chang, F.-M.; Chapa, B.; Ruparel, S.; Lai, Z.; Chen, Y.; Akopian, A.; Ruparel, N. B.
Show abstract
Dental pain from apical periodontitis is an infection induced-orofacial pain condition that presents with diversity in pain phenotypes among patients. While 60% of patients with a full-blown disease present with the hallmark symptom of mechanical allodynia, nearly 40% of patients experience no pain. Furthermore, a sexual dichotomy exists, with females exhibiting lower mechanical thresholds under basal and diseased states. Finally, the prevalence of post-treatment pain refractory to commonly used analgesics ranges from 7-19% (~2 million patients), which warrants a thorough investigation of the cellular changes occurring in different patient cohorts. We, therefore, conducted a transcriptomic assessment of periapical biopsies (peripheral diseased tissue) from patients with persistent apical periodontitis. Surgical biopsies from symptomatic male (SM), asymptomatic male (AM), symptomatic female (SF), and asymptomatic female (AF) patients were collected and processed for bulk RNA sequencing. Using strict selection criteria, our study found several unique differentially regulated genes (DEGs) between symptomatic and asymptomatic patients, as well as novel candidate genes between sexes within the same pain group. Specifically, we found the role of cells of the innate and adaptive immune system in mediating nociception in symptomatic patients and the role of genes involved in tissue homeostasis in potentially inhibiting nociception in asymptomatic patients. Furthermore, sex-related differences appear to be tightly regulated by macrophage activity, its secretome, and/or migration. Collectively, we present, for the first time, a comprehensive assessment of peripherally diseased human tissue after a microbial insult and shed important insights into the regulation of the trigeminal system in female and male patients. SummaryClinical diversity paves the way for translational research. We conducted a comprehensive transcriptomic assessment of peripherally diseased human tissue from patients with apical periodontitis to understand better clinical diversity observed in pain phenotypes between patients as well as perform in-depth analyses of sex-related dimorphism in patients with apical periodontitis.
Matching journals
The top 6 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Sputum production and salivary microbiome in COVID-19 patients reveals oral-lung axis 93%
- The association between periodontitis and the impact of oral health on the quality of life of individuals with psoriasis and psoriatic arthritis 92%
- Interleukin-17 pathway activation in Equus caballus supporting limb laminitis 92%
Similar papers in this journal
- Mast cells differentiated in synovial fluid and resident in osteophytes exalt the inflammatory pathology of osteoarthritis 93%
- Joint degeneration in a mouse model of pseudoachondroplasia: ER stress, inflammation and autophagy blockage 90%
- Effects of early life stress on bone homeostasis in mice and humans 90%
Similar papers in this journal
- Telocytes regulate macrophages in periodontal disease 94%
- CD81+ fibroblasts, a unique subpopulation with accelerated cellular senescence, exaggerate inflammation and activate neutrophils via C3/C3aR1 axis in periodontitis 94%
- Creating an atlas of the bone microenvironment during oral inflammatory-related bone disease using single-cell profiling 93%
Similar papers in this journal
- Streptococcus anginosus Activates the NLRP3 Inflammasome to Promote Inflammatory Responses from Macrophages 91%
- An essential role for the Hv1 voltage-gated proton channel in Pseudomonas aeruginosa corneal infection 89%
- Campylobacter jejuni induces differentiation of human neutrophils to the CD16hi/CD62Llo subtype which possess cancer promoting activities 89%
Similar papers in this journal
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.