This is a review and update on acute conditions affecting the gingival tissues, including abscesses in the periodontium, necrotizing periodontal diseases, and other acute conditions that cause gingival lesions with acute presentation, such as infectious processes not associated with oral bacterial biofilms, muco--cutaneous disorders, and traumatic and allergic lesions. A periodontal abscess is clinically important since it is a relatively frequent dental emergency, it can compromise the periodontal prognosis of the affected tooth, and because bacteria within the abscess can spread and cause infections in other body sites. Different types of abscesses have been identified, mainly by the type of etiology, and there are clear differences between those affecting a previously existing periodontal pocket and those affecting healthy sites. Therapy for this acute condition consists of drainage and tissue debridement, with individual evaluation of the need for systemic antimicrobial therapy. The definitive treatment of the pre--existing condition should be accomplished after the acute phase is controlled.

IgAdef, B-cell defects were mainly restricted to surface membrane (sm)IgA 1 PCs and MBCs, with 2 clear subgroups showing strongly decreased numbers of smIgA 1 PCs with mild versus severe smIgA 1 MBC defects and higher frequencies of nonrespiratory tract infections, autoimmunity, and affected family members. Patients with IgG subclass deficiency with IgA deficiency and those with CVID showed defects in both smIgA 1 and smIgG 1 MBCs and PCs. Reduced numbers of switched PCs were systematically found in patients with CVID (absent in 98%), with 6 different defective MBC (and clinical) profiles: (1) profound decrease in MBC numbers; (2) defective CD27 1 MBCs with almost normal IgG 3 1 MBCs; (3) absence of switched MBCs; and (4) presence of both unswitched and switched MBCs without and; (5) with IgG 2 1 MBCs; and (6) with IgA 1 1 MBCs. Conclusion: Distinct PAD defective B-cell patterns were identified that are associated with unique clinical profiles. (J

This study extends previous research on perceived emotional intelligence (PEI), since it examines the connections between the PEI, perceived stress, subjective well-being, academic engagement, academic performance, age and sex in a sample of adolescents. It also analyses if the relationship between the PEI and performance is mediated by perceived stress, subjective well-being and/or academic engagement. The results obtained on a sample of 626 participants aged 13 to 18 show the existence of relationships between PEI and all the analyzed variables, except for age and academic achievement; as well as all the hypothesized variables as mediators show association with academic perfomance. The indirect effect of the PEI on this last is produced through the greater commitment to the study (engagement) and the least perceived stress. The implication of the results for different relational proposals between PEI and assessed variables is discussed.Keywords: perceived emotional intelligence, academic engagement, subjective well-being, perceived stress, academic achievement. ResumenEl presente estudio extiende la investigación previa sobre inteligencia emocional percibida (IEP), al examinar las conexiones entre IEP, estrés percibido, bienestar subjetivo, engagement académico, rendimiento, edad y sexo en una muestra de adolescentes; al tiempo que explora si estrés percibido, bienestar subjetivo y/o engagement académico median la asociación IEP y rendimiento. Los resultados obtenidos en una muestra de 626 participantes de entre 13 y 18 años muestran la existencia de relaciones entre IEP y todas las variables analizadas, a excepción de edad y rendimiento; al tiempo que todas las variables hipotetizadas como mediadoras sí se asocian con el rendimiento académico. El efecto indirecto de la IEP sobre este último se produce a través del mayor compromiso con el estudio (engagement) y el menor estrés percibido. Se discute la implicación de los resultados para diferentes propuestas relacionales entre IEP y las variables evaluadas.Palabras clave: inteligencia emocional percibida, engagement académico, bienestar subjetivo, estrés percibido, rendimiento académico Correspondence concerning this article should be addressed to Yolanda Andreu. Departamento de Personalidad, Evaluación y Tratamientos Psicológicos. Avda. Blasco Ibáñez, 13, 46010. Valencia (España).

Purpose According to current diagnostic criteria, mantle cell lymphoma (MCL) encompasses the usual, aggressive variants and rare, nonnodal cases with monoclonal asymptomatic lymphocytosis, cyclin D1–positive (MALD1). We aimed to understand the biology behind this clinical heterogeneity and to identify markers for adequate identification of MALD1 cases. Experimental Design We compared 17 typical MCL cases with a homogeneous group of 13 untreated MALD1 cases (median follow-up, 71 months). We conducted gene expression profiling with functional analysis in five MCL and five MALD1. Results were validated in 12 MCL and 8 MALD1 additional cases by quantitative reverse transcription polymerase chain reaction (qRT-PCR) and in 24 MCL and 13 MALD1 cases by flow cytometry. Classification and regression trees strategy was used to generate an algorithm based on CD38 and CD200 expression by flow cytometry. Results We found 171 differentially expressed genes with enrichment of neoplastic behavior and cell proliferation signatures in MCL. Conversely, MALD1 was enriched in gene sets related to immune activation and inflammatory responses. CD38 and CD200 were differentially expressed between MCL and MALD1 and confirmed by flow cytometry (median CD38, 89% vs. 14%; median CD200, 0% vs. 24%, respectively). Assessment of both proteins allowed classifying 85% (11 of 13) of MALD1 cases whereas 15% remained unclassified. SOX11 expression by qRT-PCR was significantly different between MCL and MALD1 groups but did not improve the classification. Conclusion We show for the first time that MALD1, in contrast to MCL, is characterized by immune activation and driven by inflammatory cues. Assessment of CD38/CD200 by flow cytometry is useful to distinguish most cases of MALD1 from MCL in the clinical setting. MALD1 should be identified and segregated from the current MCL category to avoid overdiagnosis and unnecessary treatment.