Immunohistopathology of oral mucosal chronic graft-versus-host disease severity and duration.

OBJECTIVE: Chronic graft-versus-host disease (cGVHD) is the main cause of late non-relapse mortality following hematopoietic cell transplantation. Oral mucosal (om-) cGVHD is common, but diagnosis and assessment rely on clinical interpretation and patient-reported symptoms. We investigated immunohistopathological profiles with respect to om-cGVHD severity disease duration. MATERIAL AND METHODS: Ninety-four transplant patients and 15 healthy controls (n = 212 biopsies) were investigated by quantitative immunohistochemistry for T cells (CD4, CD8, and CD5), B cells (CD19 and CD20), macrophages (CD68), and Langerhans cells (CD1a). RESULTS: We found significant increases in T (CD4, CD8) and monocytic (CD68) cells in om-cGVHD, and a notable absence of B (CD19 and CD20) cells. Histopathological activity correlated with increased CD4, CD8 and CD68. However, CD4 was associated with mild om-cGVHD, whereas CD8 and CD68 were found to be elevated in severe om-cGVHD. CD8 and CD68 levels were raised at disease onset, but during late phase, the predominant CD68 population was accompanied by CD4. CONCLUSION: Oral cGVHD is a heterogenous clinical disorder, but our knowledge of the underlying biology remains limited. We highlight the importance of CD4, CD8 and CD68 immune profiling, together with histological grading for the staging of oral cGVHD, to broaden our understanding of the biology and individual disease course.

A graph neural network framework for mapping histological topology in oral mucosal tissue.

BACKGROUND: Histological feature representation is advantageous for computer aided diagnosis (CAD) and disease classification when using predictive techniques based on machine learning. Explicit feature representations in computer tissue models can assist explainability of machine learning predictions. Different approaches to feature representation within digital tissue images have been proposed. Cell-graphs have been demonstrated to provide precise and general constructs that can model both low- and high-level features. The basement membrane is high-level tissue architecture, and interactions across the basement membrane are involved in multiple disease processes. Thus, the basement membrane is an important histological feature to study from a cell-graph and machine learning perspective. RESULTS: We present a two stage machine learning pipeline for generating a cell-graph from a digital H &E stained tissue image. Using a combination of convolutional neural networks for visual analysis and graph neural networks exploiting node and edge labels for topological analysis, the pipeline is shown to predict both low- and high-level histological features in oral mucosal tissue with good accuracy. CONCLUSIONS: Convolutional and graph neural networks are complementary technologies for learning, representing and predicting local and global histological features employing node and edge labels. Their combination is potentially widely applicable in histopathology image analysis and can enhance explainability in CAD tools for disease prediction.

Synovial Tissue Proteins and Patient-Specific Variables as Predictive Factors for Temporomandibular Joint Surgery.

Our knowledge of synovial tissues in patients that are scheduled for surgery as a result of temporomandibular joint (TMJ) disorders is limited. Characterising the protein profile, as well as mapping clinical preoperative variables, might increase our understanding of pathogenesis and forecast surgical outcome. A cohort of 100 patients with either disc displacement, osteoarthritis, or chronic inflammatory arthritis (CIA) was prospectively investigated for a set of preoperative clinical variables. During surgery, a synovial tissue biopsy was sampled and analysed via multi-analytic profiling. The surgical outcome was classified according to a predefined set of outcome criteria six months postoperatively. Higher concentrations of interleukin 8 (p = 0.049), matrix metalloproteinase 7 (p = 0.038), lumican (p = 0.037), and tissue inhibitor of metalloproteinase 2 (p = 0.015) were significantly related to an inferior surgical outcome. Several other proteins, which were not described earlier in the TMJ synovia, were detected but not related to surgical outcome. Bilateral masticatory muscle palpation pain had strong association to a poor outcome that was related to the diagnoses disc displacement and osteoarthritis. CIA and the patient-reported variable TMJ disability might be related to an unfavourable outcome according to the multivariate model. These findings of surgical predictors show potential in aiding clinical decision-making and they might enhance the understanding of aetiopathogenesis in TMJ disorders.

Mesenchymal stromal cells modulate tissue repair responses within the injured vocal fold.

OBJECTIVES/HYPOTHESIS: This study aimed to determine whether local injection of human mesenchymal stromal cells (MSC) could modulate the early inflammatory response within injured vocal folds (VFs) to promote wound-healing processes. STUDY DESIGN: Experimental xenograft model. METHODS: VF injury was surgically induced by bilateral resection of the lamina propria of rabbits, and MSC were immediately injected into the injured area of both VFs. Animals were sacrificed on days 2, 4, and 24. Histological analyses were performed by hematoxylin and eosin, Masson's Trichrome, and elastin staining. Cell death was visualized by terminal deoxynucleotidyl transferase dUTP nick end labeling (TUNEL), and the M2 macrophage marker, CD163, detected by immunohistochemistry. Persistence of injected MSC was evaluated by fluorescent in situ hybridization (FISH). Quantitative polymerase chain reaction was performed on the contralateral VF. RESULTS: Histological examination at days 2 and 4 indicated that MSC were able to reduce tissue inflammation, with gene expression analysis confirming a significant reduction of proinflammatory markers, interleukin (IL)-1ß, and IL-8. FISH demonstrated low-level persistence of injected MSC at both time points, and TUNEL confirmed localized cell death at the injury site. Increased levels of CD163+ anti-inflammatory macrophages indicated a change in the immune milieu, supporting wound resolution. Evidence of a more organized collagen matrix suggests that MSC may enhance the production of a functional repair tissue after injury, despite their low-level persistence within the tissue. CONCLUSIONS: This study demonstrates that MSC are able to positively modulate the early wound-healing response through resolution of the inflammatory phase and promotion of tissue repair. LEVEL OF EVIDENCE: NA Laryngoscope, 130:E21-E29, 2020.