Separating the wheat from the chaff - Optimizing the diagnosis of enterovirus-associated meningitis

Molecular epidemiology and characterization of enteroviruses detected in cerebrospinal fluid and respiratory samples in Slovenia, 2014-2023

Enterovirus (EV) infections have various symptoms and severe complications, including death. To determine EV prevalence and EV types in Slovenia, data on over 25 000 EV RNA tests for diagnostics and surveillance from 2014 to 2023 were analyzed. Altogether, 3733 cerebrospinal fluid (CSF) and 21 297 respiratory (sentinel and clinical) samples were tested for EV RNA. EV typing was performed on all residual EV-positive CSF samples and on subset of respiratory specimens. Altogether, 1238 samples tested positive for EV RNA: 238 (6.4%) CSF and 1000 (4.7%) respiratory samples. EV-positive patients were predominantly male (p < 0.001). Many EV-positive CSF samples were from infants under 3 months (33.1%), whereas most EV-positive respiratory samples were from children 1 to 2 years old (49.2%). Echovirus 30 (E-30) was most frequent in CSF (33.0%), followed by CV-B5 (13.8%) and E-6 (13.8%). CV-A6 was most frequent in respiratory samples (16.0%), followed by EV-D68 (7.6%) and CV-A5 (7.4%). EV types in CSF and respiratory samples show diverse dynamics, with some outbreaks indicated. A significant difference was found in the EV detection rate between CSF and respiratory samples by age. Various EV types were characterized, showing that some EV types are more neurotropic or cause more severe infections.

Utilising biosensor-based approaches for identifying neurotropic viruses

Neurotropic viruses, with their ability to invade the central nervous system, present a significant public health challenge, causing a spectrum of neurological diseases. Clinical manifestations of neurotropic viral infections vary widely, from mild to life-threatening conditions, such as HSV-induced encephalitis or poliovirus-induced poliomyelitis. Traditional diagnostic methods, including polymerase chain reaction, serological assays, and imaging techniques, though valuable, have limitations. To address these challenges, biosensor-based methods have emerged as a promising approach. These methods offer advantages such as rapid results, high sensitivity, specificity, and potential for point-of-care applications. By targeting specific biomarkers or genetic material, biosensors utilise technologies like surface plasmon resonance and microarrays, providing a direct and efficient means of diagnosing neurotropic infections. This review explores the evolving landscape of biosensor-based methods, highlighting their potential to enhance the diagnostic toolkit for neurotropic viruses.