Objective: Behçet's disease etiology is uncertain, and no specific diagnostic markers exist in the laboratory. This retrospective study aimed to evaluate the role of inflammatory and hematological parameters, mainly Pan-Immune-Inflammation-Value (PIV), in predicting vascular Behçet's disease (VBD).
Patients And Methods: A total of 85 patients with VBD and 92 patients without vascular involvement (non-VBD) were included in this study. Neutrophil, monocyte, platelet, and lymphocyte subsets are all included in the PIV, a new blood-based biomarker.
Results: The optimal cut-off values for the PIV were determined to be ≥261.6. White blood cell, neutrophil, monocyte, hemoglobin, mean corpuscular hemoglobin, mean corpuscular hemoglobin concentration (MCHC), red cell distribution, platelet, plateletcrit, PIV, neutrophil-to-lymphocyte ratio, platelet-to-lymphocyte ratio, sedimentation, c-reactive protein (CRP) values were significantly associated with VBD in univariate analysis. After multivariate analysis, PIV [odds ratio (OR): 2.758; 95% confidence interval (CI): 1.327-5.736; p=0.007] and CRP (OR: 4.029; 95% CI: 1.924-8.438; p<0.001) were found to be a positive predictor for VBD, while MCHC (OR: 0.722; 95% CI: 0.530-0.983; p=0.039) was seen as a negative predictor.
Conclusions: Based on our results, PIV, an easily accessible, cost-effective, and new composite biomarker, has a significant predictive value in VBD.
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http://dx.doi.org/10.26355/eurrev_202403_35588 | DOI Listing |
Ann Med
December 2025
Department of Assisted Reproductive Centre, Xiangya Hospital Zhuzhou Central South University, Central South University, Zhuzhou, China.
Background: Butyrate may inhibit SARS-CoV-2 replication and affect the development of COVID-19. However, there have been no systematic comprehensive analyses of the role of butyrate metabolism-related genes (BMRGs) in COVID-19.
Methods: We performed differential expression analysis of BMRGs in the brain, liver and pancreas of COVID-19 patients and controls in GSE157852 and GSE151803.
Rev Med Virol
March 2025
Department of Periodontics, University of Illinois Chicago, Chicago, Illinois, USA.
SARS-CoV-2 is an oral pathogen that infects and replicates in mucosal and salivary epithelial cells, contributing to oral post-acute sequelae COVID-19 (PASC) and other oral and non-oral pathologies. While pre-existing inflammatory oral diseases provides a conducive environment for the virus, acute infection and persistence of SARS-CoV-2 can also results in oral microbiome dysbiosis that further worsens poor oral mucosal health. Indeed, oral PASC includes periodontal diseases, dysgeusia, xerostomia, pharyngitis, oral keratoses, and pulpitis suggesting significant bacterial contributions to SARS-CoV-2 and oral tissue tropism.
View Article and Find Full Text PDFEur J Neurosci
March 2025
Parkinson's Disease and Movement Disorders Clinic, Bangalore, India.
The release of synaptic vesicles (SVs) at the synaptic junction is a complex process involving various specialized proteins that work in unison. Among these, Bassoon has emerged as a significant protein, particularly noted for its association with various neurological and aging-related diseases. Due to its structural and functional roles, Bassoon has become a focus of recent research, especially in understanding its implications in neurodegenerative and psychiatric disorders.
View Article and Find Full Text PDFAnn Med
December 2025
Department of Pulmonary and Critical Care Medicine, the Second Xiangya Hospital, Central South University, Changsha, Hunan, China.
Background: Chronic Obstructive Pulmonary Disease (COPD) is a heterogeneous condition with different risk factors, including family history. This study aimed to explore association between a family history of chronic airway disease and features and outcomes of COPD.
Methods: Participants were obtained from the RealDTC study between December 2016 and December 2022.
J Cell Mol Med
March 2025
Department of Rehabilitation Medicine, The Third Hospital of Hebei Medical University, Shijiazhuang, P. R. China.
The purpose of this study was to recognise predictive biomarkers and explore the promising therapeutic targets of AD with depression. We confirmed a positive correlation between AD and depression through MR Analysis. Through WGCNA analysis, we identified 1569 genes containing two modules, which were most related to AD.
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