Programmed cell death markers in COVID-19 survivors with and without sepsis

These findings provide insight into the molecular signatures distinguishing immune responses in COVID-19-related sepsis and may serve as valuable biomarkers for assessing disease severity, while guiding therapeutic interventions in critical care settings.

Authors

Institutions

Publication Details

Journal
Frontiers in Immunology
Published
2025-02-20
DOI
https://doi.org/10.3389/fimmu.2025.1535938
Primary Topic
COVID-19 Clinical Research Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Programmed cell death markers in COVID-19 survivors with and without sepsis

Srinivasa Ikswaja Chelluri, Chandra Shekar Mallarpu, Maneendra Singarapu, Charitha Madiraju et al.
Frontiers in Immunology
COVID-19 Clinical Research Studies
article

Programmed cell death markers in COVID-19 survivors with and without sepsis

Srinivasa Ikswaja Chelluri, Chandra Shekar Mallarpu, Maneendra Singarapu, Charitha Madiraju, Lakshmi Kiran Chelluri, Tapaswi Krishna Katragadda
article en

Abstract

These findings provide insight into the molecular signatures distinguishing immune responses in COVID-19-related sepsis and may serve as valuable biomarkers for assessing disease severity, while guiding therapeutic interventions in critical care settings.

Frontiers in ImmunologyVol. 16
Marshall B. Ketchum University (US), Apollo Gleneagles Hospitals (IN), Center for Discovery (US), Bharati Vidyapeeth (Deemed to be University) (IN)
Openalex Percentile: Top 95%
COVID-19 Clinical Research Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.