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Transcriptomic profile of circulating naïve, TCM, TEM and TEMRA T cells in donors from Sri Lanka previously exposed to dengue virus and healthy controls

ABSTRACT: This SuperSeries is composed of the SubSeries listed below.

ORGANISM(S): Homo sapiens

PROVIDER: GSE97863 | GEO | 2017/09/27

SECONDARY ACCESSION(S): PRJNA383107

REPOSITORIES: GEO

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Transcriptomic profile of circulating naïve, TCM, TEM and TEMRA T cells in donors from Sri Lanka previously exposed to dengue virus and healthy controls from Sri Lanka [Cohort 1]

Project description:Dengue virus is responsible for 400 million human infections each year . The characterization of exact molecular components of immune response associated may help design more effective therapeutic interventions. In this study, we aimed to characterize the immune signature of T cells subtypes associated with previous exposure to dengue virus. Transcriptomic profiling using RNA sequencing was performed on naive, TCM, TEM and TEMRA CD4 T cells isolated from individuals with secondary dengue infections from Sri Lanka, an endemic area, as well as from dengue negative healthy controls.

2017-09-27 | GSE97861 | GEO

Transcriptomic profile of circulating naïve, TCM, TEM and TEMRA T cells in donors from Sri Lanka previously exposed to dengue virus and healthy controls from San Diego [Cohort 2 & Cohort 3]

2017-09-27 | GSE97862 | GEO

Transcriptomic profile of circulating naïve, TCM, TEM and TEMRA T cells in donors from Sri Lanka previously exposed to dengue virus and healthy controls

Project description:Transcriptomic profile of circulating naïve, TCM, TEM and TEMRA T cells in donors from Sri Lanka previously exposed to dengue virus and healthy controls

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Severe Dengue Epidemic, Sri Lanka, 2017.

Project description:In 2017, a dengue epidemic of unexpected magnitude occurred in Sri Lanka. A total of 186,101 suspected cases and 440 dengue-related deaths occurred. We conducted a comprehensive analysis of this epidemic by comparing national surveillance data for 2017 with data from the preceding 5 years. In all Sri Lanka districts, dengue incidence in 2017 increased significantly over incidence during the previous 5 years. Older schoolchildren and young adults were more clinically symptomatic than those at extremes of age. Limited virologic surveillance showed the dominant circulating variant was dengue virus type 2 cosmopolitan genotype in the most affected district. One quarter of total annual cases were reported 5 weeks after the southwest monsoon started. Changes in vector abundance were not predictive of the increased incidence. Direct government expenditures on dengue control activities in 2017 were US $12.7 million. The lessons learned from this outbreak are useful for other tropical nations facing increasing dengue incidence.

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Severe dengue epidemics in Sri Lanka, 2003-2006.

Project description:Recent emergence of dengue hemorrhagic fever in the Indian subcontinent has been well documented in Sri Lanka. We compare recent (2003-2006) and past (1980-1997) dengue surveillance data for Sri Lanka. The 4 dengue virus (DENV) serotypes have been cocirculating in Sri Lanka for >30 years. Over this period, a new genotype of DENV-1 has replaced an old genotype. Moreover, new clades of DENV-3 genotype III viruses have replaced older clades. Emergence of new clades of DENV-3 in 1989 and 2000 coincided with abrupt increases in the number of reported dengue cases, implicating this serotype in severe epidemics. In 1980-1997, most reported dengue cases were in children. Recent epidemics have been characterized by many cases in children and adults. Changes in local transmission dynamics and genetic changes in DENV-3 are likely increasing emergence of severe dengue epidemics in Sri Lanka.

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Project description:A study conducted from July 2019 to May 2022 at several hospitals in the Western Province, Sri Lanka, focused on dengue virus strains during the COVID-19 pandemic. Among 417 febrile patients, 47% were PCR-positive for dengue. Serotyping revealed DENV-1 (12.8%), DENV-2 (46.4%), DENV-3 (37.2%), and DENV-4 (3.6%). Sequencing identified two genotypically distinct variants of DENV-3 and two genotypically distinct variants of DENV-1, while DENV-2 showed a single genotype cluster. Notably, the study found concurrent circulation of two DENV-3 and two DENV-1 genotypes, along with DENV-2, during the pandemic in the area. This data suggests the presence of multiple dengue strains, including several DENV-1 and DENV-3 variants, without major epidemic outbreaks reported in the Western Province. Continuous monitoring and research are essential to understand the dynamics of these dengue strains in the context of the COVID-19 pandemic.

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Hepatitis C virus in healthy blood donors in Sri Lanka.

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2019-09-29 | GSE87505 | GEO

Fuzzy Multidimensional Model to Cluster Dengue Risk in Sri Lanka.

Project description:Dengue is the world's rapidly transmitting mosquito-borne viral disease. It is mostly found in subtropical countries in the world. The annual number of global deaths caused by dengue fever is about 25,000. The Sri Lanka dengue situation is also not different to other countries. In the year 2019, dengue fever caused 120 deaths in Sri Lanka. Most of these deaths were reported from the main administrative district Colombo. Health authorities have to pay their attention to control this new situation. Therefore, identifying the hot spots in the country and implementing necessary actions to control the disease is an important task. This study aims to develop a clustering technique to identify the dengue hot spots in Sri Lanka. Suitable risk factors are identified using expert ideas and reviewing available literature. The weights are derived using Chang's extent method. These weights are used to prioritize the factors associated with dengue. Using the geometric mean, the interaction between the triggering variable and other variables is calculated. According to the interaction matrices, five dengue risk clusters are identified. It is found that high population movement in the area plays a dominant role to transmit the disease to other areas. Most of the districts in Sri Lanka will reach to moderate risk cluster in the year 2022.

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