Post-Traumatic Cognitions Inventory (PTCI): psychometric properties in clients with serious mental illness and co-occurring PTSD.

BACKGROUND: People with post-traumatic stress disorder (PTSD) exhibit negative cognitions, predictive of PTSD severity. The Post-Traumatic Cognitions Inventory (PTCI) is a widely used instrument measuring trauma-related cognitions and beliefs with three subscales: negative thoughts of self (SELF), negative cognitions about the world (WORLD), and self-blame (BLAME). AIMS: The current study attempted to validate the use of the PTCI in people with serious mental illness (SMI), who have greater exposure to trauma and elevated rates of PTSD, using confirmatory factor analysis (CFA) and examining convergent and divergent correlations with relevant constructs. METHOD: Participants were 432 individuals with SMI and co-occurring PTSD diagnosis based on the Clinician Administered PTSD Scale, who completed PTCI and other clinical ratings. RESULTS: CFAs provided adequate support for Foa's three-factor model (SELF, WORLD, BLAME), and adequate support for Sexton's four-factor model that also included a COPE subscale. Both models achieved measurement invariance at configural, metric and scalar levels for three diagnostic groups: schizophrenia, bipolar and major depression, as well as for ethnicity (White vs Black), and gender (male vs female). Validity of both models was supported by significant correlations between PTCI subscales, and self-reported and clinician assessed PTSD symptoms and associated symptoms. CONCLUSIONS: Findings provide support for the psychometric properties of the PTCI and the conceptualization of Sexton's four-factor and Foa's three-factor models of PTCI among individuals diagnosed with SMI (Foa et al., ).

Psychometric properties of post-traumatic stress disorder (PTSD) checklist for DSM-5 in persons with serious mental illness.

BACKGROUND: PCL-5 is a self-report measure consisting of 20 items that are used to assess the symptoms of Post-Traumatic Stress Disorder (PTSD) according to the DSM-5. OBJECTIVE: This study evaluated the factor structure of the Post-Traumatic Stress Disorder (PTSD) Checklist for DSM-5 (PCL-5) in people with serious mental illness. METHOD: The sample in Study 1 included 536 participants with serious mental illness who were receiving supported employment services through community mental health agencies or supported housing programmes. Confirmatory factor analysis assessed the fit of six different models of PTSD. RESULTS: Results indicated that Armour's Hybrid 7-factor model composed of re-experiencing, avoidance, dysphoria, dysphoric arousal, anxious arousal, negative affect, anhedonia, and externalizing behaviours demonstrated the best fit. Study 2 found support for convergent validity for PCL-5 among 132 participants who met criteria for PTSD. CONCLUSION: Findings provide support for the psychometric properties of the PCL-5 and the conceptualization of the 7-factor hybrid model and the 4-factor DSM-5 model of PTSD among persons living with serious mental illness.

Antecedentes:PCL-5 es una medida de autoinforme que consta de 20 ítems que se utilizan para evaluar los síntomas del TEPT de acuerdo al DSM-5.Objetivo:Este estudio evaluó la estructura factorial de la Lista de verificación de Trastorno de Estrés Postraumático (TEPT) para DSM-5 (PCL-5) en personas con enfermedades mentales graves.Método:La muestra del Estudio 1 incluyó a 536 participantes con enfermedad mental grave que estaban recibiendo servicios de empleo subvencionado a través de agencias comunitarias de salud mental o programas de vivienda subvencionados. El análisis factorial confirmatorio evaluó el ajuste de seis modelos diferentes de TEPT.Resultados:Los resultados indicaron que el modelo híbrido de 7 factores de Armour - compuesto de reexperimentación, evitación, disforia, excitación disfórica, excitación ansiosa, afecto negativo, anhedonia y conductas de externalización - demostró el mejor ajuste. El estudio 2 encontró sustento para la validez convergente de PCL-5 entre 132 participantes que cumplieron con los criterios para TEPT.Conclusión:Los hallazgos respaldan las propiedades psicométricas del PCL-5 y la conceptualización del modelo híbrido de 7 factores y el modelo DSM-5 de 4 factores de TEPT entre personas que viven con una enfermedad mentales graves.

Short open reading frames (sORFs) and microproteins: an update on their identification and validation measures.

A short open reading frame (sORFs) constitutes ≤ 300 bases, encoding a microprotein or sORF-encoded protein (SEP) which comprises ≤ 100 amino acids. Traditionally dismissed by genome annotation pipelines as meaningless noise, sORFs were found to possess coding potential with ribosome profiling (RIBO-Seq), which unveiled sORF-based transcripts at various genome locations. Nonetheless, the existence of corresponding microproteins that are stable and functional was little substantiated by experimental evidence initially. With recent advancements in multi-omics, the identification, validation, and functional characterisation of sORFs and microproteins have become feasible. In this review, we discuss the history and development of an emerging research field of sORFs and microproteins. In particular, we focus on an array of bioinformatics and OMICS approaches used for predicting, sequencing, validating, and characterizing these recently discovered entities. These strategies include RIBO-Seq which detects sORF transcripts via ribosome footprints, and mass spectrometry (MS)-based proteomics for sequencing the resultant microproteins. Subsequently, our discussion extends to the functional characterisation of microproteins by incorporating CRISPR/Cas9 screen and protein-protein interaction (PPI) studies. Our review discusses not only detection methodologies, but we also highlight on the challenges and potential solutions in identifying and validating sORFs and their microproteins. The novelty of this review lies within its validation for the functional role of microproteins, which could contribute towards the future landscape of microproteomics.

Monomeric, Dimeric, and Trimeric Tropane Alkaloids from Pellacalyx saccardianus.

Seven new tropane alkaloids, including five monomeric (1-5), one dimeric (6), and one trimeric (7) 3α-nortropane ester, along with two known monomeric nortropane alkaloids (8 and 9), were isolated from the leaves and bark of Pellacalyx saccardianus. Their structures, including the absolute configuration of the enantiomeric pair of (±)-6, were elucidated by comprehensive spectroscopic analyses. Alkaloids 6 and 7 showed cytotoxicity toward human pancreatic cancer cell lines (AsPC-1, BxPC3, PANC-1, and SW1990). Alkaloids 1, 4, and 9 induced a smooth muscle relaxation effect comparable to that of atropine (Emax 106.1 ± 7.5%, 97.0 ± 5.2%, 100.9 ± 1.4%, 111.7 ± 1.7%, respectively) on isolated rat tracheal rings.