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As a chaperone protein of progesterone receptor (PR), FK-506 Binding Protein 52 (FKBP52) can enhance the activity of PR, but the mechanism of FKBP52 affecting PR expression levels is difficult to clarify. Here, we report a novel in vitro model of ectopic endometrial stromal cells (ESCM) established through the primary culture method of endometrial stromal cells, which is used to study the details of relationship between FKBP52 abnormality and PR expression level in endometriosis (Ems). At the same time, the clinical study of the relationship between FKBP52 and PR expression levels in endometriosis patients was used to verify our conclusions. The results showed that the expression levels of PR-A mRNA and protein in endometriosis are positively correlated with FKBP52 and the abnormality of FKBP52 leads to the decrease of PR-B mRNA and protein expression. When FKBP52 was deleted or reduced, the expression levels of m RNA and protein of PR-A and PR-B have decreased leading to the proliferation of ectopic endometrium cells (ESC) and the occurrence of endometriosis, which is consistent with the expression levels of clinical endometriosis patients and fully confirms our conclusions and reliability of the model, and has great guiding significance for the research of Ems disease occurrence mechanism and clinical treatment.Purpose Spoken language sample analysis (LSA) is widely considered to be a critical component of assessment for child language disorders. It is our best window into a preschool child's everyday expressive communicative skills. However, historically, the process can be cumbersome, and reference values against which LSA findings can be "benchmarked" are based on surprisingly little data. Moreover, current LSA protocols potentially disadvantage speakers of nonmainstream English varieties, such as African American English (AAE), blurring the line between language difference and disorder. Method We provide a tutorial on the use of free software (Computerized Language Analysis [CLAN]) enabled by the ongoing National Institute on Deafness and Other Communication Disorders-funded "Child Language Assessment Project." CLAN harnesses the advanced computational power of the Child Language Data Exchange System archive (www.childes.talkbank.org), with an aim to develop and test fine-grained and potentially language variety-sensitive benchmarks for a range of LSA measures. Using retrospective analysis of data from AAE-speaking children, we demonstrate how CLAN LSA can facilitate dialect-fair assessment and therapy goal setting. Results Using data originally collected to norm the Diagnostic Evaluation of Language Variation, we suggest that Developmental Sentence Scoring does not appear to bias against children who speak AAE but does identify children who have language impairment (LI). Other LSA measure scores were depressed in the group of AAE-speaking children with LI but did not consistently differentiate individual children as LI. Furthermore, CLAN software permits rapid, in-depth analysis using Developmental Sentence Scoring and the Index of Productive Syntax that can identify potential intervention targets for children with developmental language disorder.Purpose The purpose of this assessment-focused clinical focus article is to increase familiarity with African American English (AAE)-speaking children's pattern of language use in third-person singular contexts and to discuss implications for speech-language assessments of developing AAE-speaking children. Method The clinical focus draws on descriptive case study data from four typically developing child speakers of AAE who are between the ages of 3 and 5 years. The children's data from three different sources-sentence imitation, story retell, and play-based language samples-were subjected to linguistic analyses. Results The three sources of linguistic data offered different insights into the children's production of -s and other linguistic patterns in third-person singular contexts. Conclusions This study underscores the importance of exploring developing child AAE from a descriptive approach to reveal different types of information about patterns of morphological marking in different linguistic contexts, which is crucial in assessing developing AAE. Implications for language assessment are discussed.Purpose For many individuals with autism spectrum disorder (ASD), postsecondary outcomes are poor. This may be due to insufficient academic supports, particularly with regard to literacy skills, during high school. More information is needed about skill profiles so that we can better differentiate support for students with varying social, communication, cognitive, and academic proficiency levels. This study was designed to (a) identify unique literacy profiles of high school students with ASD, (b) assess profile stability over time, (c) identify predictors of profile membership, and (d) analyze stakeholder reports of required school support intensity. Selleck Screening Library Method Participants were a diverse sample of high school students with ASD, 14-21 years old (N = 544), their parents, and their teachers who participated in a randomized controlled trial of a comprehensive treatment model for high school students with ASD. Standardized measures were administered to assess nonverbal IQ, autism symptomatology, language/adaptive communication, reading comprehension, academic knowledge, and parent/teacher report of school support needs intensity. Latent transition analysis was conducted to examine sample heterogeneity and to explore the stability of the profiles. Associations between profiles and reports of support intensity were examined. Results Four literacy profiles were identified that were stable over 2 years Emergent Literacy/Comprehensive Support, Low Literacy/Intensive Support, Average Literacy/Moderate Support, and Average Literacy/Limited Support. Parent and teacher reports of school support intensity generally aligned with the profiles. Conclusions These analyses provide insight into the diverse literacy and support needs in ASD. Implications for practice and the role of speech-language pathologists in assessment and intervention are discussed. Supplemental Material https//doi.org/10.23641/asha.13495119.
Here's my website: https://www.selleckchem.com/screening-libraries.html
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