Evidence map›Paper›PMID 36518355›Full record

ArticleBiology methods & protocols2022

Molecular markers for early stratification of disease severity and progression in COVID-19.

Anusha Kashyap, Savitha Anne Sebastian, Sree Raksha Krishnaiyer NarayanaSwamy, KalyanKumar Raksha, Hanumanthappa Krishnamurthy, Bhuvana Krishna, George D'Souza, Jyothi Idiculla, Neha Vyas

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Article in Biology methods & protocols, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.6field-weighted citation impact, top 32% 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

4 citing papers in PubMed, 6 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

9 authors at 2 institutions in 1 country.

Anusha KashyapDivision of Molecular Medicine, St. John's Research Institute, Bangalore, Karnataka 560034, India.
Savitha Anne SebastianDepartment of Medicine, St. John's Medical College and Hospital, SJNAHS, Bangalore, Karnataka 560034, India.
Sree Raksha Krishnaiyer NarayanaSwamyDepartment of Medicine, St. John's Medical College and Hospital, SJNAHS, Bangalore, Karnataka 560034, India.
KalyanKumar RakshaNational Centre for Biological Sciences, Bangalore Life Science Cluster, Bangalore, Karnataka 560065, India.
Hanumanthappa KrishnamurthyNational Centre for Biological Sciences, Bangalore Life Science Cluster, Bangalore, Karnataka 560065, India.
Bhuvana KrishnaDepartment of Critical Care Medicine, St. John's Medical College and Hospital, SJNAHS, Bangalore, Karnataka 560034, India.
George D'SouzaDepartment of Pulmonary Medicine, St. John's Medical College and Hospital, SJNAHS, Bangalore, Karnataka 560034, India.
Jyothi IdicullaDepartment of Medicine, St. John's Medical College and Hospital, SJNAHS, Bangalore, Karnataka 560034, India.
Neha VyasDivision of Molecular Medicine, St. John's Research Institute, Bangalore, Karnataka 560034, India.ORCID https://orcid.org/0000-0002-8873-5751
St.John's Medical College Hospital · INNational Centre for Biological Sciences · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

COVID-19 infections have imposed immense pressure on the healthcare system of most countries. While the initial studies have identified better therapeutic and diagnostic approaches, the disease severity is still assessed by close monitoring of symptoms by healthcare professionals due to the lack of biomarkers for disease stratification. In this study, we have probed the immune and molecular profiles of COVID-19 patients at 48-h intervals after hospitalization to identify early markers, if any, of disease progression and severity. Our study reveals that the molecular profiles of patients likely to enter the host-immune response-mediated moderate or severe disease progression are distinct even in the early phase of infection when severe symptoms are not yet apparent. Our data from 37 patients suggest that at hospitalization, interleukins (IL6) (>300 pg/ml) and IL8 levels (>200 pg/ml) identify cytokine-dependent disease progression. Monitoring their levels will facilitate timely intervention using available immunomodulators or precision medicines in those likely to progress due to cytokine storm and help improve outcomes. Additionally, it will also help identify cytokine-independent progressive patients, not likely to benefit from immunomodulators or precision drugs.

Indexed as

biomarkersCOVID-19Cytokine-dependentCytokine-independentdecidualizationhypoxiaIL6IL8immunemodulatorSARS-CoV2

Identifiers

PMID36518355
PMCPMC9731223
OpenAlexW4307925825

What OpenQuestion holds

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LicenceCC BY
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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.