Evidence map›Paper›PMID 37840831›Full record

ArticleInfection and drug resistance2023

Association of Interferon Lambda 3 and 4 Gene SNPs and Their Expression with COVID-19 Disease Severity: A Cross-Sectional Study.

Warisha Zahid, Nida Farooqui, Nida Zahid, Khalid Ahmed, Muhammad Faraz Anwar, Syed Rizwan-Ul-Hasan, Azhar R Hussain, Antonio Sarría-Santamera, Syed Hani Abidi

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Article in Infection and drug resistance, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.7field-weighted citation impact, top 15% 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

8 citing papers in PubMed, 9 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 4 institutions in 2 countries.

Warisha Zahid *Department of Community Health Sciences, Aga Khan University, Karachi, Pakistan.
Nida Farooqui *Department of Biological and Biomedical Sciences, Aga Khan University, Karachi, Pakistan.
Nida Zahid *Department of Surgery, Aga Khan University, Karachi, Pakistan.
Khalid AhmedDepartment of Biological and Biomedical Sciences, Aga Khan University, Karachi, Pakistan.
Muhammad Faraz AnwarDepartment of Biochemistry, Bahria University Medical and Dental College, Karachi, Pakistan.
Syed Rizwan-Ul-HasanDepartment of Computer Science, DHA Suffa University, Karachi, Pakistan.
Azhar R HussainDepartment of Biological and Biomedical Sciences, Aga Khan University, Karachi, Pakistan.
Antonio Sarría-SantameraDepartment of Biomedical Sciences, Nazarbayev University School of Medicine, Astana, Kazakhstan.ORCID 0000-0001-5734-7468
Syed Hani AbidiDepartment of Biological and Biomedical Sciences, Aga Khan University, Karachi, Pakistan.ORCID 0000-0001-9497-0902
Aga Khan University · PKBahria University · PKDHA Suffa University · PKNazarbayev University · KZ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Expression and certain SNPs of interferon lambda 3 and 4 (IFNL3 and 4) have been associated with variable outcomes in COVID-19 patients in different regions, suggesting population-specific differences in the disease outcome. This study examined the association of INFL3 and INFL4 SNPs (rs12979860 and rs368234815, respectively) and nasopharyngeal expression with COVID-19 disease severity in Pakistani patients. Methods: For this study, 117 retrospectively collected nasopharyngeal swab samples were used from individuals with mild and severe COVID-19 disease. qPCR assays were used to determine the viral loads and mRNA expression of IFNL3 and 4 through the Ct and delta Ct methods, respectively. Due to funding limitations, only one SNP each in INFL3 and INFL4 (found to be most significant through literature search) was analyzed using tetra-arm PCR and RFLP-PCR strategies, respectively. The Mann-Whitney Results: Comparative analysis of SNPs between mild and severe groups showed only the difference in SNP of the IFNL4 gene to be statistically significant (p = 0.001). Similarly, nasopharyngeal expression of IFNL3 and IFNL4 genes, respectively, was found to be 3.48-fold less and 3.48-fold higher in the severe group as compared to the mild group. Multivariate analysis revealed SNP in the IFNL4 gene and age to have a significant association with COVID-19 severity. Conclusion: Despite the small sample size, IFNL4 gene SNP and patient age were associated with COVID-19 severity. Age, IFNL3/IFNL4 mRNA expression in the nasopharyngeal milieu, and the presence of SNP in the IFNL4 (rs368234815) gene in COVID-19 patients may be biomarkers for infection severity and help improve SARS-CoV-2 infection management.

Indexed as

COVID-19 severityIFNL3IFNL4interferon lambdasingle nucleotide polymorphisms

Identifiers

PMID37840831
PMCPMC10576565
OpenAlexW4387443025

What OpenQuestion holds

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LicenceCC BY-NC
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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.