Auditory deficits are a well-known symptom in neuropsychiatric disorders such as schizophrenia. The non-competitive N-methyl-D-aspartate receptor antagonist ketamine has been used to model sensory and cognitive deficits in nonhuman primates, but its whole-brain effects remain largely unknown. Here we employed ultra-high-field fMRI at 9.4T in awake male and female marmoset monkeys () to compare brain activations to conspecific vocalizations, scrambled vocalizations, and non-vocal sounds following the administration of a subanesthetic dose of ketamine. Our findings reveal a broad suppression of activations across auditory regions following ketamine compared to saline. Additionally, we observed differential effects depending on the type of sound, with notable changes in the mediodorsal thalamus and anterior cingulate cortex, particularly during the processing of vocalizations. These findings suggest a potential overlap between the effects of ketamine and neural disruptions observed in schizophrenia, particularly affecting vocalization processing. This study explores the effects of ketamine, a compound known for its psychotomimetic effects that mimic those of neuropsychiatric disorders like schizophrenia, on auditory processing in common marmosets using ultra-high-field fMRI. We reveal a global suppression of neural activity across auditory regions under ketamine, with varying effects depending on the sound type in certain regions. Notably, the mediodorsal thalamus showed significant susceptibility in processing socially relevant sounds. These findings suggest parallels between ketamine's impact and auditory processing disruptions seen in schizophrenia.
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http://dx.doi.org/10.1523/JNEUROSCI.0651-24.2025 | DOI Listing |
JMIR Med Inform
March 2025
LynxCare Inc, Leuven, Belgium.
Background: Processing data from electronic health records (EHRs) to build research-grade databases is a lengthy and expensive process. Modern arthroplasty practice commonly uses multiple sites of care, including clinics and ambulatory care centers. However, most private data systems prevent obtaining usable insights for clinical practice.
View Article and Find Full Text PDFPLoS One
March 2025
Department of Hematology, Heping Hospital Affiliated to Changzhi Medical College, Changzhi Medical College, Changzhi, Shanxi, China.
Objective: This study aims to investigate and analyze the differentially expressed genes (DEGs) in CD34 + hematopoietic stem cells (HSCs) from patients with myelodysplastic syndromes (MDS) through bioinformatics analysis, with the ultimate goal of uncovering the potential molecular mechanisms underlying pathogenesis of MDS. The findings of this study are expected to provide novel insights into clinical treatment strategies for MDS.
Methods: Initially, we downloaded three datasets, GSE81173, GSE4619, and GSE58831, from the public Gene Expression Omnibus (GEO) database as our training sets, and selected the GSE19429 dataset as the validation set.
Physiol Genomics
March 2025
College of Human Medicine, Michigan State University, Grand Rapids, MI 49503 USA.
Defining physiology and methods to measure biological mechanisms is essential. Extensive datasets such as RNA sequencing are used with little analysis of the knowledge gained from the various methodologies. Within this work, we have processed publicly available NCBI RNAseq datasets using a combination of bioinformatics tools for the largest physiological organ, the skin.
View Article and Find Full Text PDFPLoS One
March 2025
Centre for Proteomic Research, Biological Sciences and Institute for Life Sciences, Building 85, University of Southampton, Southampton, United Kingdom.
Oesophageal adenocarcinoma (OAC) is the 7th most common cancer in the United Kingdom (UK) and remains a significant health challenge. This study presents a proteomic analysis of seven OAC donors complementing our previous neoantigen identification study of their human leukocyte antigen (HLA) immunopeptidomes. Our small UK cohort were selected from donors undergoing treatment for OAC.
View Article and Find Full Text PDFDiscov Oncol
March 2025
Department of Dermatology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Background: Hidradenitis suppurativa (HS) is a chronic, inflammatory and common skin disease. Observation studies have reported the association between HS and cancers, however no studies reported whether a causal relationship exists between HS and cancers. This study aimed to explore the causal relationship between HS and differential subtypes of cancers by conducting a bidirectional Mendelian randomization (MR) analysis.
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