Evidence map›Paper›PMID 37438430›Full record

ArticleGenes and immunity2023

Systems-level profiling of early peripheral host-response landscape variations across COVID-19 severity states in an Indian cohort.

Ushashi Banerjee, Sneha Chunchanur, Ambica R, Kithiganahalli Narayanaswamy Balaji, Amit Singh, Dipshikha Chakravortty, Nagasuma Chandra

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In one paragraph

Article in Genes and immunity, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.4field-weighted citation impact, top 20% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 7 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 2 institutions in 1 country.

Ushashi BanerjeeDepartment of Biochemistry, Indian Institute of Science, Bengaluru, India.
Sneha ChunchanurBangalore Medical College and Research Institute (BMCRI), Bengaluru, India.
Ambica RBangalore Medical College and Research Institute (BMCRI), Bengaluru, India.
Kithiganahalli Narayanaswamy BalajiDepartment of Microbiology and Cell Biology, Indian Institute of Science, Bengaluru, India.
Amit SinghDepartment of Microbiology and Cell Biology, Indian Institute of Science, Bengaluru, India.
Dipshikha ChakravorttyDepartment of Microbiology and Cell Biology, Indian Institute of Science, Bengaluru, India.
Nagasuma ChandraDepartment of Biochemistry, Indian Institute of Science, Bengaluru, India. nchandra@iisc.ac.in.
Indian Institute of Science Bangalore · INBangalore Medical College and Research Institute · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Host immune response to COVID-19 plays a significant role in regulating disease severity. Although big data analysis has provided significant insights into the host biology of COVID-19 across the world, very few such studies have been performed in the Indian population. This study utilizes a transcriptome-integrated network analysis approach to compare the immune responses between asymptomatic or mild and moderate-severe COVID-19 patients in an Indian cohort. An immune suppression phenotype is observed in the early stages of moderate-severe COVID-19 manifestation. A number of pathways are identified that play crucial roles in the host control of the disease such as the type I interferon response and classical complement pathway which show different activity levels across the severity spectrum. This study also identifies two transcription factors, IRF7 and ESR1, to be important in regulating the severity of COVID-19. Overall this study provides a deep understanding of the peripheral immune landscape in the COVID-19 severity spectrum in the Indian genetic background and opens up future research avenues to compare immune responses across global populations.

Indexed as

COVID-19Interferon Type IGene Expression ProfilingHumansPhenotypeTranscription FactorsInterferon Type ITranscription Factors

Identifiers

PMID37438430
OpenAlexW4384070759

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.