In people with HIV (PWH), the post-antiretroviral therapy (ART) window is critical for immune restoration and HIV reservoir stabilization. We employ deep immune profiling and T cell receptor (TCR) sequencing and examine proliferation to assess how ART impacts T cell homeostasis. In PWH on long-term ART, lymphocyte frequencies and phenotypes are mostly stable. By contrast, broad phenotypic changes in natural killer (NK) cells, γδ T cells, B cells, and CD4 and CD8 T cells are observed in the post-ART window. Whereas CD8 T cells mostly restore, memory CD4 T subsets and cytolytic NK cells show incomplete restoration 1.4 years post ART. Surprisingly, the hierarchies and frequencies of dominant CD4 TCR clonotypes (0.1%-11% of all CD4 T cells) remain stable post ART, suggesting that clonal homeostasis can be independent of homeostatic processes regulating CD4 T cell absolute number, phenotypes, and function. The slow restoration of host immunity post ART also has implications for the design of ART interruption studies.
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http://dx.doi.org/10.1016/j.xcrm.2023.101268 | DOI Listing |
Cureus
December 2024
Internal Medicine, National University of Malaysia, Kuala Lumpur, MYS.
Epstein-Barr virus-associated smooth muscle tumors (EBV-SMTs) are a rare type of tumor occurring exclusively in immunocompromised patients in the setting of HIV/AIDS, post-organ transplant, and congenital immunodeficiency. These tumors require demonstration of EBV DNA on histopathologic studies in order to establish a diagnosis. The overall prognosis is good.
View Article and Find Full Text PDFJTCVS Open
December 2024
Division of Cardiovascular Surgery, Hospital for Sick Children, Toronto, Ontario, Canada.
Objective: Pediatric cardiac surgery site infections (SSI) represent significant morbidity. Our institution reported elevated SSI rates of 3.48 per 100 cases over a 5-year period above target rates of 2.
View Article and Find Full Text PDFBMC Med Educ
January 2025
Visual Thinking Strategies and an Independent Writer and Educator, Baltimore, MD, USA.
Background: Visual Thinking Strategies (VTS) is an evidence-based pedagogical approach that uses art analysis and structured inquiry to enhance observation, critical thinking, and teamwork, especially in medical training for clinical skills development. This study aimed to compare the short-term and delayed follow-up effects of integrating Visual Thinking Strategies and Visual Thinking Activity (VTA) tasks based on the PRISM Model with Observation Exercises (OE) on medical students' observation skills, including the number of observations, number of words used, and time spent describing observations.
Method: This pre- and post-test experimental study with a control group was conducted among first-year medical students at Gonabad University of Medical Sciences during the 2023-2024 academic year.
Nat Genet
January 2025
Calico Life Sciences LLC, South San Francisco, CA, USA.
Sequence-based machine-learning models trained on genomics data improve genetic variant interpretation by providing functional predictions describing their impact on the cis-regulatory code. However, current tools do not predict RNA-seq expression profiles because of modeling challenges. Here, we introduce Borzoi, a model that learns to predict cell-type-specific and tissue-specific RNA-seq coverage from DNA sequence.
View Article and Find Full Text PDFNPJ Syst Biol Appl
January 2025
Center for Interdisciplinary Digital Sciences (CIDS), Department Information Services and High-Performance Computing (ZIH), Dresden University of Technology, 01062, Dresden, Germany.
Predicting the biological behavior and time to recurrence (TTR) of high-grade diffuse gliomas (HGG) after maximum safe neurosurgical resection and combined radiation and chemotherapy plays a pivotal role in planning clinical follow-up, selecting potentially necessary second-line treatment and improving the quality of life for patients diagnosed with a malignant brain tumor. The current standard-of-care (SoC) for HGG includes follow-up neuroradiological imaging to detect recurrence as early as possible and relies on several clinical, neuropathological, and radiological prognostic factors, which have limited accuracy in predicting TTR. In this study, using an in-silico analysis, we aim to improve predictive power for TTR by considering the role of (i) prognostically relevant information available through diagnostics used in the current SoC, (ii) advanced image-based information not currently part of the standard diagnostic workup, such as tumor-normal tissue interface (edge) features and quantitative data specific to biopsy positions within the tumor, and (iii) information on tumor-associated macrophages.
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