Clinicoepidemiological study of dengue positive patients admitted to tertiary care hospitals in the Burdwan district, using molecular seroprofiling and enzyme linked immunosorbent assays of cytokines and chemokines.

Autor: Chaudhury, Nabamita, Biswas, Tanusri, Nayek, Swati, Nath, Arghya, Mukherjee, Nivedita, Nag, Soumi, Mondal, Suraj, Das, Kuntal
Předmět:
Zdroj: Asian Journal of Medical Sciences; May2023, Vol. 14 Issue 5, p121-127, 7p
Abstrakt: Background: The World Health Organization views dengue fever as a significant worldwide public health threat in the tropics and subtropics. Dengue virus has four serotypes, DENG 1 to 4, which were responsible for outbreaks that occurred in other parts of the world from the 1980s until now. Aims and Objectives: Clinical manifestations and molecular and serological studies help determine the inflammatory response events associated with dengue severity. This study aimed to define the profiles of some cytokines and chemokines, as well as their molecular serotyping. Materials and Methods: Blood serum samples are collected, followed by serodiagnosis (NS1 and IgM) through ELISA, molecular serotyping detection of dengue by real-time PCR through SyBr green, and an immunological study of cytokines tumor necrosis factor-alpha and interferon-gamma (IFN-γ) on mother-hand chemokines CCL26 and MCP1 by ELISA. Statistical analysis was performed by SPSS (version 22). Results: The study examined 70 dengue seropositive samples, of which five were NS1 positive and 55 were IgM positive. After accounting for comorbidities and patients’ demographic classifications, the 21–30 age group has a maximum positivity of 30%. The mean concentration level of IFN-γ is elevated at 1544.438 pg/mL. Conclusion: Dengue-positive patients have a high ischemic heart disease rate, among other diseases. An elevated circulating level of osteopetrosis may cause cancer, tuberculosis, and other serious diseases. In immunological aspects, IFN-γ elevation can be used to predict the severity of dengue infection. [ABSTRACT FROM AUTHOR]
Databáze: Complementary Index