Evidence map›Paper›PMID 41683812›Full record

ReviewInternational journal of molecular sciences2026

Interleukins in COVID-19 and SARS-CoV-2 Variants: Immunopathogenesis, Therapeutic Perspectives and Vaccine-Induced Immune Responses.

Supriya Mahajan, Saurabh Mahajan, Akanksha Gusain

Abstract readReview
In one paragraph

Review in International journal of molecular sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. Article
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

3 authors.

Supriya MahajanDepartment of Microbiology, School of Medical Sciences and Research, Sharda University, Greater Noida 201306, UP, India.
Saurabh MahajanNumed Super Speciality Hospital, Greater Noida 201306, UP, India.
Akanksha GusainDepartment of Microbiology, School of Medical Sciences and Research, Sharda University, Greater Noida 201306, UP, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), is characterized by profound immune dysregulation where interleukins play a central role in determining disease severity and response to interventions. This review summarizes the role of interleukins in the immunopathogenesis of COVID-19, with particular emphasis on differences observed across major SARS-CoV-2 variants. Pro-inflammatory interleukins like IL-1β, IL-6, IL-2, IL-17 and IL-18 are critically involved in cytokine storm, hyperinflammation, and acute respiratory distress syndrome, whereas anti-inflammatory cytokines like IL-10 contribute to immune regulation and resolution of inflammation. Elevated levels of IL-1α, IL-1β, IL-4, IL-8, IL-9, IL-16, IL-18 have been documented in the Delta variant as compared with the Omicron variant, with IL-6 being the most frequent interleukin reported to be increased across all SARS-CoV-2 variants relative to the ancestral Wuhan strain. Elevated IL-2, IL-4, IL-6, and IL-10 levels have been associated with Omicron sub-variants. The review encompasses interleukin-based therapeutic strategies, where several IL-1 and IL-6 inhibitors were studied across clinical trials, but only tocilizumab has shown some promise against severe COVID-19. IL-2, IL-6, IL-15 and IL-21 levels were positively correlated with IgG and neutralizing antibody activity after vaccination with longevity of post-vaccination immunity being determined by IL-2 and IL-7.

Indexed as

COVID-19COVID-19 VaccinesInterleukinsSARS-CoV-2HumansCOVID-19 VaccinesInterleukinsCOVID-19interleukinsSARS-CoV-2 variants

Identifiers

PMID41683812
PMCPMC12897649

What OpenQuestion holds

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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.