Determination of Etiology and Epidemiology of Viral Central Nervous System Infections by Quantitative Real-Time Polymerase Chain Reaction in Central India Population.

INTRODUCTION: Viral infections of the central nervous system (CNS) are the most common cause of hospital admission in worldwide and remain a challenging disease for diagnosis and treatment. The most common infectious agents associated with viral CNS infections are cytomegalovirus (CMV), Epstein-Barr virus (EBV), varicella zoster virus (VZV), Japanese encephalitis virus (JEV), Dengue virus (DENV),West Nile virus(WNV), and Chandipura virus(CHPV). The aim of the present work was to find the etiology of CNS viral infection in the Central India population by transcriptase PCR (RT-PCR) comparing real-time polymerase chain reaction (PCR) method [one-step and two-step reverse transcriptase (RT-PCR)] in cerebrospinal fluid (CSF) and blood samples of CNS viral infections patients. MATERIALS AND METHODS: One-step and two-step real-time PCR assays were evaluated in CSF and parallel blood samples from patients with viral CNS infections for detection of DNA and RNA viruses. A comparative analysis was also done between gDNA, gRNA, cDNA, and plasmid-based real-time PCR methods for an efficient quantitation of viral particles in clinical samples for determination of viral etiology. RESULT: On evaluation of 150 CSF and 50 parallel blood samples from suspected cases of viral CNS infections, a viral etiology was confirmed in 21 (14%) cases, including 3% for EBV, 1% of CMV, and 5% for VZV and JEV. The one-step RT-PCR has a higher detection limit for detection and quantitation of viral RNA in comparison to two-step RT-PCR. CONCLUSION: Our result reveals that VZV and JEV are the most usual cases of CNS viral infection in hospitalized patients in the Central India population and one-step RT-PCR shows higher viral load detection limits for quantitation of viral genome and more sensitivity in comparison to two-step RT-PCR.

Synthetic Peptide-Based Antibody Detection for Diagnosis of Chikungunya Infection with and without Neurological Complications.

Synthetic peptide-based diagnosis of Chikungunya can be an efficient and more accessible approach in immunodiagnostics. Here, we describe the identification of Chikungunya-specific 40 kD protein for development of synthetic peptide-based enzyme-linked immunosorbent assay for the detection of Chikungunya virus-specific antibodies in the patient's sample. The total sodium dodecyl sulfate-polyacrylamide gel electrophoresis protein profile of the patient's sample can be done to identify specific protein bands. The identified proteins can be subjected to liquid chromatography-tandem mass spectrometry (LC-MS/MS) for characterization. After characterization, immunogenic peptides can be designed using softwares and subsequently synthesized chemically. The peptides can be used to develop more specific, sensitive, and simpler diagnostic assay.

Diagnosis of Herpes Simplex Encephalitis by ELISA Using Antipeptide Antibodies Against Type-Common Epitopes of Glycoprotein B of Herpes Simplex Viruses.

Herpes simplex encephalitis (HSE) represents one of the most severe infectious diseases of the central nervous system (CNS). As effective antiviral drugs are available, an early, rapid, and reliable diagnosis has become important. The objective of this article was to develop a sensitive ELISA protocol for herpes simplex viruses (HSV) antigen detection and quantitation by assessing the usefulness of antipeptide antibodies against potential peptides of HSV glycoprotein B (gB). A total of 180 cerebrospinal fluid (CSF) samples of HSE and non-HSE patients were analyzed using a panel of antipeptide antibodies against synthetic peptides of HSV glycoprotein gB. The cases of confirmed and suspected HSE showed 80% and 51% positivity for antipeptide against synthetic peptide QLHDLRF and 77% and 53% positivity for antipeptide against synthetic peptide MKALYPLTT, respectively for the detection of HSV antigen in CSF. The concentration of HSV antigen was found to be higher in confirmed HSE as compared to suspected HSE group and the viral load correlated well with antigen concentration obtained using the two antipeptides in CSF of confirmed HSE group. This is the first article describing the use of antibodies obtained against synthetic peptides derived from HSV in diagnostics of HSE using patients' CSF samples.

Comparative evaluation of risk factors, outcome and biomarker levels in young and old acute ischemic stroke patients.

BACKGROUND: Stroke is the third leading cause of death and disability worldwide accounting for 400-800 strokes per 100,000 individuals each year. PURPOSE: In the present study, we compared risk factors, clinical outcome, and prognostic biomarkers NSE, S-100 ßß and ITIH4 levels in young and old acute ischemic stroke (AIS) patients. METHODS: We compared the risk factors and clinical outcomes in young (n = 38) and old (n = 66) AIS patients admitted to tertiary health care centre in Central India. In addition, we also evaluated NSE, S100ßß & ITIH4 levels in admission and discharge samples of young and old AIS patients with different clinical outcome. RESULTS: Hypertension was a major risk factor in 45% of young and 80% of old AIS patients. Hospital outcome was less favorable in young AIS patients with higher dependent rates of 24% as compared to 12% in old AIS patients. Whereas long term outcome at 12 and 18 months after discharge was more favorable in young AIS patients with low dependency rates of 16% and 11% as compared to 41% and 24% in older AIS patients respectively. Similarly, serum NSE, S100ßß and ITIH4 levels showed a distinct pattern of expression at discharge time in AIS patients with improved and dependent outcome in both the age groups. CONCLUSION: Young males with hypertension and smoking habits are at a high risk of AIS while old AIS patients are at a greater risk of worse long term outcome. Serum levels of NSE and S100ßß are independent predictors of outcome in AIS patients. Similarly, it also suggests that serum ITIH4 levels could be used as a potential biomarker for predicting the outcome in AIS patients.