Dataset Information

Role of T Lymphocyte Activation Profile in Predicting SARS-CoV-2 Severity: Experience from Tertiary Care Centre of North India.

ABSTRACT:

Background

Immune dysregulation plays a key role in determining COVID-19 disease severity. We aimed to analyze the T cell activation profile in COVID - 19 cases and its predictive role in disease severity and outcome.

Material & methods

This was a prospective observational pilot study from a tertiary care COVID-19 hospital. Peripheral blood samples obtained between the fifth and seventh day of COVID-19 illness, were subjected to lymphocyte subset analysis using multicolor flowcytometry using a single tube, 8 antibodies (CD45, CD19, CD3, CD4, CD8, CD38, HLADR, and CD56) analysis. Correlation between lymphocyte subset analysis and clinical profile was determined.

Results

26 patients including 11 with mild disease and 15 with severe disease were enrolled. The median age was 58 years (range: 33-81), with a male: female ratio of 1.36:1. Significant lymphopenia was observed in the severe group compared to the mild group (p < 0.02). The absolute numbers of CD3+, CD4+, CD8 + T cells, B cells, and NK cells were significantly reduced in the severe group as compared to the mild group (p < 0.05). In patients with severe disease, the proportion of CD8 + and CD4 + T cells were significantly higher than those in patients with mild disease (p = 0.0372). Using ROC analysis, a CD4:8 T cell ratio of ≥ 2.63 and an activated (CD38 + HLA-DR+) CD8 T cell proportion of > 15.85% of the total CD8 T cell population, significantly determined the severe disease category.

Conclusions

Severe COVID-19 is associated with severe lymphopenia, altered CD4/CD8 ratio and markedly increased CD8 T cell activation profile.

Supplementary information

The online version contains supplementary material available at 10.1007/s12288-022-01558-6.

SUBMITTER: Gupta A

PROVIDER: S-EPMC9362977 | biostudies-literature | 2023 Jan

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Role of T Lymphocyte Activation Profile in Predicting SARS-CoV-2 Severity: Experience from Tertiary Care Centre of North India.

Gupta Anshul A Pandharipande Archit A Gupta Mansi M Hashim Zia Z Sanjeev Chauhan Priyanka P Gupta Ruchi R Chandra Dinesh D Singh Manish Kumar MK Kashyap Rajesh R Rahman Khaliqur K

Indian journal of hematology & blood transfusion : an official journal of Indian Society of Hematology and Blood Transfusion 20220809 1

<h4>Background</h4>Immune dysregulation plays a key role in determining COVID-19 disease severity. We aimed to analyze the T cell activation profile in COVID - 19 cases and its predictive role in disease severity and outcome.<h4>Material & methods</h4>This was a prospective observational pilot study from a tertiary care COVID-19 hospital. Peripheral blood samples obtained between the fifth and seventh day of COVID-19 illness, were subjected to lymphocyte subset analysis using multicolor flowcyto ...[more]

PMID: 35966613

Similar Datasets

Project description:BackgroundTeledermatology has evolved as a valuable option to outpatient visits during the current pandemic. We set up a smartphone-based hybrid model of teledermatology services providing direct care to patients at our center. To analyse patient and physician-experience and acceptability for teledermatology over a 6-month-period, along with clinicodemographic profile of patients.MethodologySingle-center, retrospective study conducted from May 20, 2020 to October 31, 2020. Patient satisfaction level for teledermatology was assessed on a 4-point scale and compared with the satisfaction level during their previous physical visits prior to COVID-19 pandemic. A physician assessment form was utilised to record the experience of dermatologists while providing teledermatology services.ResultsOf 7530 patients registered, a successful consult was provided to 6125 patients (81.34%). Average number of teleconsultations/day rose from 23.60 in May 2020 to 77.96 in October 2020. Mean age of patients availing teledermatology services was 33.60 ± 16.99 years. Average distance to care and travel time were 100.90 ± 171.77 km and 135 ± 222.32 min, respectively. A definitive diagnosis could be ascertained in 5724 patients (93.45%) and in-person visit was recommended to 133 patients (2.2%). Out of 6125 patients, 5229 could be contacted for feedback, 935 (18.18%), 2230 (42.65%), 1749 (33.45%), and 300 patients (5.70%) reported being very satisfied, satisfied, partially satisfied, and unsatisfied, respectively. Of 1914 patients, who had availed in-person OPD facilities prior to the pandemic, 914 patients (49.62%) preferred in-person visits. Of 34 dermatologists surveyed, 88.2% felt comfortable providing teleconsultations and 82.4% felt the need to continue teledermatology services in the upcoming months.ConclusionsOverall, teledermatology is a valid alternative for in-person dermatology visits during the current crisis; helping with initial triage and further patient management. Further refinement of the process could lead to even more acceptability.

Project description:Despite rapidly evolving knowledge about COVID 19 infection, routes of perinatal COVID 19 transmission and viral load in mother neonate dyad remain uncertain. Data were analysed to describe the clinicodemographic profile and viral load in neonates born to COVID 19 positive mothers. Of 2947 deliveries, 69 mothers were COVID 19 positive (2.3%), with 1 abortion, 2 macerated stillbirths and 2 fresh stillbirths as pregnancy outcomes. Of 65 tested neonates, 10.7% (7) were confirmed COVID 19 positive by RTPCR (reverse transcriptase-polymerase chain reaction). Viral load (cycle threshold, Ct of E, RDRp) in neonates was comparable with the Ct reported from adults; however, neonates had milder clinical manifestations. All 7 neonates who tested positive for COVID 19 were subsequently discharged. Six of the 7 neonates were asymptomatic and 1 neonate needed respiratory support (indication being prematurity) which resolved after 48 h. Maternal and neonatal comparison of Ct of E and RdRp gene was statistically non-significant (25.97 vs 19.68, p = 0.34 and 26.5 vs 25.0, p = 0.84). Viral loads of mothers with COVID 19 positive neonates compared with mothers with COVID 19 negative neonates for E and RdRp gene were also statistically non-significant (25 vs 27.19, p = 0.63 and 19.6 vs 27.6, p = 0.08). The majority (93%) of neonates tested later than 48 h (roomed in with mother and breastfed) tested negative.Conclusion: The study supports milder manifestation in COVID 19 positive neonates. Risk of transmission from COVID 19 positive mother to neonate by rooming-in and breastfeeding is low. In this study on a limited number of neonates, maternal viral load was not found to be associated with the positivity status or severity of the illness of neonate. What is Known: • Neonates born to COVID 19 positive mothers are at risk of COVID 19 infection. What is New: • Risk of transmission of COVID 19 from mother to neonate, with rooming-in and breastfeeding, appears low. • In this study on a limited number of neonates, maternal viral load of COVID 19 (E and RdRp cycle thresholds) was not associated with severity of illness or COVID 19 positivity in neonates.

Project description:BackgroundRare disorders comprise of ~ 7500 different conditions affecting multiple systems. Diagnosis of rare diseases is complex due to dearth of specialized medical professionals, testing labs and limited therapeutic options. There is scarcity of data on the prevalence of rare diseases in different populations. India being home to a large population comprising of 4600 population groups, of which several thousand are endogamous, is likely to have a high burden of rare diseases. The present study provides a retrospective overview of a cohort of patients with rare genetic diseases identified at a tertiary genetic test centre in India.ResultsOverall, 3294 patients with 305 rare diseases were identified in the present study cohort. These were categorized into 14 disease groups based on the major organ/ organ system affected. Highest number of rare diseases (D = 149/305, 48.9%) were identified in the neuromuscular and neurodevelopmental (NMND) group followed by inborn errors of metabolism (IEM) (D = 47/305; 15.4%). Majority patients in the present cohort (N = 1992, 61%) were diagnosed under IEM group, of which Gaucher disease constituted maximum cases (N = 224, 11.2%). Under the NMND group, Duchenne muscular dystrophy (N = 291/885, 32.9%), trinucleotide repeat expansion disorders (N = 242/885; 27.3%) and spinal muscular atrophy (N = 141/885, 15.9%) were the most common. Majority cases of β-thalassemia (N = 120/149, 80.5%) and cystic fibrosis (N = 74/75, 98.7%) under the haematological and pulmonary groups were observed, respectively. Founder variants were identified for Tay-Sachs disease and mucopolysaccharidosis IVA diseases. Recurrent variants for Gaucher disease (GBA:c.1448T > C), β-thalassemia (HBB:c.92.+5G > C), non-syndromic hearing loss (GJB2:c.71G > A), albinism (TYR:c.832 C > T), congenital adrenal hyperplasia (CYP21A2:c.29-13 C > G) and progressive pseudo rheumatoid dysplasia (CCN6:c.298T > A) were observed in the present study.ConclusionThe present retrospective study of rare disease patients diagnosed at a tertiary genetic test centre provides first insight into the distribution of rare genetic diseases across the country. This information will likely aid in drafting future health policies, including newborn screening programs, development of target specific panel for affordable diagnosis of rare diseases and eventually build a platform for devising novel treatment strategies for rare diseases.

Project description:BackgroundCongenital Heart diseases (CHDs) account for 1/3rd of all congenital birth defects. Etiopathogenesis of CHDs remain elusive despite extensive investigations globally. Phenotypic heterogeneity witnessed in this developmental disorder reiterate gene-environment interactions with periconceptional factors as risk conferring; and genetic analysis of both sporadic and familial forms of CHD suggest its multigenic basis. Significant association of de novo and inherited variants have been observed. Approximately 1/5th of CHDs are documented in the ethnically distinct Indian population but genetic insights have been very limited. This pilot case-control based association study was undertaken to investigate the status of Caucasian SNPs in a north Indian cohort.MethodA total of 306 CHD cases sub-classified into n = 198 acyanotic and n = 108 cyanotic types were recruited from a dedicated tertiary paediatric cardiac centre in Palwal, Haryana. 23 SNPs primarily prioritized from Genome-wide association studies (GWAS) on Caucasians were genotyped using Agena MassARRAY Technology and test of association was performed with adequately numbered controls.ResultsFifty percent of the studied SNPs were substantially associated in either allelic, genotypic or sub-phenotype categories validating their strong correlation with disease manifestation. Of note, strongest allelic association was observed for rs73118372 in CRELD1 (p < 0.0001) on Chr3, rs28711516 in MYH6 (p = 0.00083) and rs735712 in MYH7 (p = 0.0009) both on Chr 14 and were also significantly associated with acyanotic, and cyanotic categories separately. rs28711516 (p = 0.003) and rs735712 (p = 0.002) also showed genotypic association. Strongest association was observed with rs735712(p = 0.003) in VSD and maximum association was observed for ASD sub-phenotypes.ConclusionsCaucasian findings were partly replicated in the north Indian population. The findings suggest the contribution of genetic, environmental and sociodemographic factors, warranting continued investigations in this study population.

Dataset Information

Role of T Lymphocyte Activation Profile in Predicting SARS-CoV-2 Severity: Experience from Tertiary Care Centre of North India.

Background

Material & methods

Results

Conclusions

Supplementary information

Publications

Role of T Lymphocyte Activation Profile in Predicting SARS-CoV-2 Severity: Experience from Tertiary Care Centre of North India.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets