Studying endosymbionts gives us insight into early cellular mechanisms that led to the emergence of eukaryotic organelles. In this issue of Cell, Bublitz et al. (2019) report on how a nested bacterial endosymbiont of mealybugs builds its cell wall peptidoglycan through a biosynthetic pathway that is dependent on transported host enzymes.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1016/j.cell.2019.09.024 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Chronic kidney disease-associated pruritus: a comparison of instruments and associations with patient-reported outcomes using an electronic patient-reported outcome survey in Europe.
Clin Kidney J
October 2024
Arbor Research Collaborative for Health, Ann Arbor, USA.
Background: The associations between self-reported chronic kidney disease-associated pruritus (CKD-aP) and patient-reported outcomes (PROs) have been reported using various instruments to assess itch. Data collection via multiple CKD-aP instruments allows the evaluation of different domains and measurements of CKD-aP burden and may help tailor data capture for future research or clinical care.
Methods: An electronic PRO (ePRO) survey was distributed to European hemodialysis (HD) patients enrolled in the Dialysis Outcomes and Practice Patterns Study (DOPPS) in 2021-23.
Cross-Sectional Survey of Student and Faculty Experiences with Feedback and Assessment of Clinical Competency on Final Year Rotations at American Association of Veterinary Medical Colleges (AAVMC) Member Institutions.
J Vet Med Educ
April 2024
Molecular Biomedical Sciences Department, NCSU College of Veterinary Medicine, 1060 William Moore Drive, Raleigh, NC 27607 USA.
The clinical experiences, feedback, and assessment that veterinary students receive during final year rotations have a significant impact on whether they will achieve entry-level competency at the time of graduation. In this study, a cross-sectional survey was administered to American Association of Veterinary Medical Colleges (AAVMC) member institutions to collect baseline data about current feedback and assessment practices to identify key target areas for future research and educational interventions. Responses were received from 89 faculty and 155 students distributed across 25 universities.
View Article and Find Full Text PDFRemembering the Dead in Unity and Peace.
Fed Pract
May 2024
Editor-in-Chief and Senior Ethicist Veterans Affairs National Center for Ethics in Health Care and Consultation-Liaison Psychiatrist, New Mexico Veterans Affairs Health Care System.
Conversion practice recall and mental health symptoms in sexual and gender minority adults in the USA: a cross-sectional study.
Lancet Psychiatry
November 2024
The PRIDE Study-PRIDEnet, Stanford University School of Medicine, Stanford, CA, USA; Department of Epidemiology and Population Health, Stanford University School of Medicine, Stanford, CA, USA; Division of Nephrology, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA. Electronic address:
Article Synopsis
- * Researchers analyzed data from The PRIDE Study, focusing on participants who reported experiences of conversion practices and their current mental health symptoms using established scales for anxiety, depression, PTSD, and suicidal behavior.
- * Findings indicate that experiencing conversion practices is linked to increased mental health symptoms, with separate analyses for cisgender and transgender individuals to better understand these effects.
Blood-based DNA methylation and exposure risk scores predict PTSD with high accuracy in military and civilian cohorts.
BMC Med Genomics
September 2024
Genomics Program, College of Public Health, University of South Florida, Tampa, FL, USA.
Article Synopsis
- Researchers aimed to create and validate Methylation Risk Scores (MRS) using machine learning to identify individuals at risk for PTSD based on genomic and trauma exposure data.
- The study developed three models: eMRS (which combines trauma exposure and methylation data), MoRS (which relies only on methylation data), and MoRSAE (which adjusts MoRS for trauma exposure).
- The eMRS model showed the best performance with a 92% accuracy, and all models were able to predict post-deployment PTSD significantly, suggesting that including trauma exposure improves risk assessment.
Want AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!