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BACKGROUND: Periodontal diseases are chronic inflammatory conditions that require early screening for effective long-term management. Oral neutrophil counts (ONCs) correlate with periodontal inflammation. This study investigates a point-of-care test using a neutrophil enzyme activity (NEA) colorimetric strip for measuring periodontal inflammation. METHODS: This prospective study had two phases. Phase 1 validated the relationship between ONCs and periodontal inflammation with 90 participants. Phase 2 examined the test's applicability in a real-world setting through a multicentre clinical trial with 375 participants at four sites. ONCs were quantified in oral rinses using laboratory-based methods, and the NEA strip was used for ONC stratification. Clinical measures included bleeding on probing (BoP), probing depth (PD) and clinical attachment loss (CAL). RESULTS: ONCs were significantly elevated in patients with Grade B periodontitis and deep periodontal pockets (PD ≥ 5 mm, CAL ≥ 5 mm). The NEA strip accurately classified patients into high or low ONC categories, showing 80% sensitivity, 82.5% specificity and an AUC of 0.89. It also assessed the effectiveness of periodontal therapy in reducing ONC and inflammation. The test was user-friendly, with no reported discomfort among patients. CONCLUSION: The NEA strip is a user-friendly and rapid screening tool for detecting high ONCs associated with periodontal inflammation and for evaluating the effectiveness of periodontal therapy.
RESUMO
Flow cytometry stands as the most employed high-throughput single-cell analysis technique, facilitating the profiling of remarkably diverse samples, such as blood, bone marrow and body fluids. In addition, it allows for the discrimination of diverse immune cell subsets, including infrequently encountered types like T regulatory cells and exhausted CD28Null T cells. However, analyzing rare immune cell subsets with conventional flow cytometry poses challenges stemming from factors like fluorophore overlap, compensation issues, and limited flexibility in fluorophore selection. Therefore, spectral flow cytometry offers advantages over traditional flow cytometry. It measures the full emission spectrum and then separates it to identify different fluorochromes. This enables the use of fluorochromes with significant overlap in a single test, allowing for the analysis of more protein markers. Following this, spectral technology employs precise calculations to separate individual fluorochromes, thereby enabling the detection and elimination of autofluorescent signals originating from cells within the entire emission spectrum. This capability is pivotal in achieving deep phenotyping of immune cells with the requisite sensitivity and resolution essential for monitoring the immune systems of patients with compromised immunity, such as cancer and autoimmune disorders. Additionally, it allows for the exploration of interactions between distinct immune subsets. In this context, we introduce an optimized protocol utilizing spectral flow cytometry for precise T-cell characterization and differentiation, encompassing the assessment of their activation states. Furthermore, this protocol extends its applicability to the identification of less common circulating T-cell populations, notably T-regulatory and CD28Null T cells, following autofluorescence correction within the spectrum. This protocol provides a set of steps and reagents for the surface and intracellular staining of human T cells using whole peripheral blood. The spectral-based design of this panel allows for its applicability to other spectral machines, providing a versatile and efficient tool for T-cell analysis. © 2024 Wiley Periodicals LLC. Basic Protocol 1: Achieving optimal staining through effective antibody titration Basic Protocol 2: Single-cell staining Basic Protocol 3: Comprehensive panel staining post-titration and spectral library integration.