Evidence map›Paper›PMID 36851762›Full record

ArticleViruses2023

Circulating Interleukin-8 Dynamics Parallels Disease Course and Is Linked to Clinical Outcomes in Severe COVID-19.

Ranit D'Rozario, Deblina Raychaudhuri, Purbita Bandopadhyay, Jafar Sarif, Priyanka Mehta, Chinky Shiu Chen Liu, Bishnu Prasad Sinha, Jayasree Roy, Ritwik Bhaduri, Monidipa Das and 6 more

Open access · goldAbstract read
In one paragraph

Article in Viruses, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.7field-weighted citation impact, top 10% 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

7 citing papers in PubMed, 14 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

16 authors at 4 institutions in 1 country.

Ranit D'RozarioIICB-Translational Research Unit of Excellence, CSIR-Indian Institute of Chemical Biology, Kolkata 700091, India.
Deblina RaychaudhuriIICB-Translational Research Unit of Excellence, CSIR-Indian Institute of Chemical Biology, Kolkata 700091, India.
Purbita BandopadhyayIICB-Translational Research Unit of Excellence, CSIR-Indian Institute of Chemical Biology, Kolkata 700091, India.
Jafar SarifIICB-Translational Research Unit of Excellence, CSIR-Indian Institute of Chemical Biology, Kolkata 700091, India.
Priyanka MehtaINtegrative GENomics of HOst-PathogEn (INGEN-HOPE) Laboratory, CSIR-Institute of Genomics and Integrative Biology, New Delhi 110007, India.
Chinky Shiu Chen LiuIICB-Translational Research Unit of Excellence, CSIR-Indian Institute of Chemical Biology, Kolkata 700091, India.
Bishnu Prasad SinhaIICB-Translational Research Unit of Excellence, CSIR-Indian Institute of Chemical Biology, Kolkata 700091, India.
Jayasree RoyIICB-Translational Research Unit of Excellence, CSIR-Indian Institute of Chemical Biology, Kolkata 700091, India.
Ritwik BhaduriIndian Statistical Institute, Kolkata 700108, India.
Monidipa DasIndian Statistical Institute, Kolkata 700108, India.ORCID 0000-0002-7615-4407
Sanghamitra BandyopadhyayIndian Statistical Institute, Kolkata 700108, India.
Shekhar Ranjan PaulDepartment of Medicine, ID & BG Hospital, Kolkata 700010, India.
Shilpak ChatterjeeIICB-Translational Research Unit of Excellence, CSIR-Indian Institute of Chemical Biology, Kolkata 700091, India.ORCID 0000-0002-8428-6434
Rajesh PandeyAcademy of Scientific and Innovative Research (AcSIR), Ghaziabad 201002, India.
Yogiraj RayDepartment of Medicine, ID & BG Hospital, Kolkata 700010, India.
Dipyaman GangulyIICB-Translational Research Unit of Excellence, CSIR-Indian Institute of Chemical Biology, Kolkata 700091, India.ORCID 0000-0002-7786-1795
Indian Institute of Chemical Biology · INIndian Statistical Institute · INGD Hospital & Diabetes Institute · INInstitute of Genomics and Integrative Biology · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Severe COVID-19 frequently features a systemic deluge of cytokines. Circulating cytokines that can stratify risks are useful for more effective triage and management. Here, we ran a machine-learning algorithm on a dataset of 36 plasma cytokines in a cohort of severe COVID-19 to identify cytokine/s useful for describing the dynamic clinical state in multiple regression analysis. We performed RNA-sequencing of circulating blood cells collected at different time-points. From a Bayesian Information Criterion analysis, a combination of interleukin-8 (IL-8), Eotaxin, and Interferon-γ (IFNγ) was found to be significantly linked to blood oxygenation over seven days. Individually testing the cytokines in receiver operator characteristics analyses identified IL-8 as a strong stratifier for clinical outcomes. Circulating IL-8 dynamics paralleled disease course. We also revealed key transitions in immune transcriptome in patients stratified for circulating IL-8 at three time-points. The study identifies plasma IL-8 as a key pathogenic cytokine linking systemic hyper-inflammation to the clinical outcomes in COVID-19.

Indexed as

COVID-19Interleukin-8Bayes TheoremCytokinesDisease ProgressionHumansCytokinesInterleukin-8biomarkerCOVID-19cytokinesIL-8machine learningsurvival

Identifiers

PMID36851762
PMCPMC9960352
OpenAlexW4321235252

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.