Results 71 to 80 of about 413,028 (398)

RNA interference inhibits herpes simplex virus type 1 isolated from saliva samples and mucocutaneous lesions

open access: yesBrazilian Journal of Infectious Diseases, 2014
The aim of this study was to evaluate the use of RNA interference to inhibit herpes simplex virus type-1 replication in vitro. For herpes simplex virus type-1 gene silencing, three different small interfering RNAs (siRNAs) targeting the herpes simplex ...
Amanda Perse da Silva   +2 more
doaj  

Interleukin 1β receptor and synaptic dysfunction in recurrent brain infection with Herpes simplex virus type-1

open access: yesNeural Regeneration Research
Several experimental evidence suggests a link between brain Herpes simplex virus type-1 infection and the occurrence of Alzheimer’s disease. However, the molecular mechanisms underlying this association are not completely understood.
Roberto Piacentini, Claudio Grassi
doaj   +1 more source

Can the UNAIDS modes of transmission model be improved? A comparison of the original and revised model projections using data from a setting in west Africa. [PDF]

open access: yes, 2013
OBJECTIVE: The UNAIDS modes of transmission model (MoT) is a user-friendly model, developed to predict the distribution of new HIV infections among different subgroups. The model has been used in 29 countries to guide interventions. However, there is the
Blanchard, James F   +8 more
core   +1 more source

The complete DNA sequence of the long unique region in the genome of herpes simplex virus type 1.

open access: yesJournal of General Virology, 1988
We have determined the DNA sequence of the long unique region (UL) in the genome of herpes simplex virus type 1 (HSV-1) strain 17. The UL sequence contained 107,943 residues and had a base composition of 66.9% G + C. Together with our previous work, this
D. McGeoch   +8 more
semanticscholar   +1 more source

Engineered Tissue Models to Decode Host–Microbiota Interactions

open access: yesAdvanced Science, EarlyView.
Host–Microbiota interactions in the human body. Created in BioRender. Ghezzi, C. (2025) https://BioRender.com/ihivskg. Abstract A mutualistic co‐evolution exists between the host and its associated microbiota in the human body. Bacteria establish ecological niches in various tissues of the body, locally influencing their physiology and functions, but ...
Miryam Adelfio   +5 more
wiley   +1 more source

The Immune Response to Herpes Simplex Virus Type 1 Infection in Susceptible Mice is a Major Cause of CNS Pathology Resulting in Fatal Encephalitis [PDF]

open access: yes, 2008
This study was undertaken to investigate possible immune mechanisms in fatal HSV-1 encephalitis (HSE) after HSV-1 corneal inoculation. Susceptible 129S6 (129) but not resistant C57BL/6 (B6) mice developed intense focal inflammatory brainstem lesions of ...
Brown, Jeffrey   +10 more
core   +2 more sources

Zosteriform Herpes Simplex

open access: yesAmerican Journal of Ophthalmology, 1976
American Journal of Ophthalmology 81 (1976) 86-88.
Department of Ophthalmology, College of Medicine, University of Florida, Gainesville, FloridaDepartment of OphthalmologyCollege of MedicineUniversity of FloridaGainesvilleFlorida ( host institution )   +2 more
openaire   +4 more sources

Structure and Antigenicity of Kaposi's Sarcoma‐Associated Herpesvirus Glycoprotein B

open access: yesAdvanced Science, EarlyView.
Kaposi's sarcoma‐associated herpesvirus (KSHV) causes severe cancers without effective treatments. This study presents an atomic model of KSHV's critical infection protein, gB, revealing a unique structure shared with related herpesviruses like Epstein‐Barr virus (EBV). The structural similarity highlights vulnerable targets for antibodies, guiding the
Xin‐Yan Fang   +8 more
wiley   +1 more source

Diagnosis of genital herpes simplex virus infection in the clinical laboratory

open access: yesVirology Journal, 2014
Since the type of herpes simplex virus (HSV) infection affects prognosis and subsequent counseling, type-specific testing to distinguish HSV-1 from HSV-2 is always recommended.
J. Legoff, H. Péré, L. Bélec
semanticscholar   +1 more source

Deep‐Learning Model for Central Nervous System Infection Diagnosis and Prognosis Using Label‐Free 3D Immune‐Cell Morphology in the Cerebrospinal Fluid

open access: yesAdvanced Intelligent Systems, EarlyView.
Early diagnosis and prognosis prediction of central nervous system infections are critical. This study introduces a deep‐learning model utilizing cerebrospinal fluid immune‐cell morphology captured via 3D holotomography. The model effectively predicts infection etiology and prognosis, achieving high accuracy.
Bo Kyu Choi   +5 more
wiley   +1 more source

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