Evidence map›Paper›PMID 40631743›Full record

ArticleMicrobiology spectrum2025

Decoding the transcriptome from bulk RNA of infection-naïve versus imprinted patients with SARS-CoV-2 Omicron B.1.1.529.

Sissy Therese Sonnleitner, Samira Walder, Eva Hinterbichler, Ludwig Knabl, Roswitha Poernbacher, Gernot Walder

Abstract read
In one paragraph

Article in Microbiology spectrum, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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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

2 citing papers in PubMed.

  1. Article
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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

6 authors.

Sissy Therese SonnleitnerDepartment of Virology, Medical Laboratory, Dr. Gernot Walder GmbH, Ausservillgraten, Austria.ORCID 0000-0002-6419-0224
Samira WalderDepartment of Virology, Medical Laboratory, Dr. Gernot Walder GmbH, Ausservillgraten, Austria.
Eva HinterbichlerDepartment of Virology, Medical Laboratory, Dr. Gernot Walder GmbH, Ausservillgraten, Austria.
Ludwig KnablInstitute of Hygiene and Medical Microbiology, Medical University of Innsbruck, Innsbruck, Austria.
Roswitha PoernbacherDepartment of Virology, Medical Laboratory, Dr. Gernot Walder GmbH, Ausservillgraten, Austria.
Gernot WalderDepartment of Virology, Medical Laboratory, Dr. Gernot Walder GmbH, Ausservillgraten, Austria.ORCID 0000-0002-0903-9185

Funding

Österreichische Forschungsförderungsgesellschaft 896860
6 · The paper itself

Abstract

Total RNA-seq allows for the comprehensive detection of differentially expressed genes (DEGs), providing insight into immune responses during infection. In this study, we addressed the question of whether total RNA-seq can detect differences in gene expression and, therefore, immune responses between infection-naïve and imprinted patients. By sequencing all DEGs in the acute phase of a severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) Omicron B.1.1.529 infection, we examined the biological processes that characterize patients with different immune statuses. We differentiated between infection-naïve individuals (Group A), individuals imprinted by prior SARS-CoV-2 infection (Group B), and individuals first imprinted by vaccination (Group C). Infection status was confirmed by SARS-CoV-2-specific PCR; viral strain identification was performed via melting curve analysis; and immune status was assessed by chemiluminescent immunoassay. Our findings revealed significant transcriptomic differences between the study groups. Infection-naïve individuals exhibited the highest number of differentially expressed genes (1,526 DEGs), compared to 27 in previously infected individuals and only seven in vaccinated individuals. A key aspect of this difference was the expression of interferon-stimulated genes, which showed a progressive decline from infection-naïve to previously infected to vaccinated individuals. Notably, Group C displayed almost no upregulated genes but instead exhibited significant downregulation in pathways related to DNA metabolism. A key strength of our study is the inclusion of infection-naïve individuals at a time when most of the population had already been exposed to SARS-CoV-2. This rare opportunity allowed us to characterize the primary immune response to Omicron B.1.1.529 in infection-naïve individuals and compare it to immune responses shaped by prior infection or vaccination. The clear differences in gene expression between these groups highlight how prior exposure influences immune activation during acute infection. IMPORTANCE: Understanding how prior immune imprinting through infection or vaccination influences the transcriptomic response to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is crucial for optimizing vaccine strategies and predicting immune outcomes in future pandemics. A unique strength of our study is the inclusion of infection-naïve individuals at a time when most of the population had already been exposed to SARS-CoV-2. This rare opportunity allowed us to characterize the primary immune response to Omicron B.1.1.529 and compare it to responses shaped by prior infection or vaccination, providing valuable insights into how immune imprinting influences transcriptional activation during acute infection.

Indexed as

COVID-19RNA, ViralSARS-CoV-2TranscriptomeAdultAgedFemaleGene Expression ProfilingHumansMaleMiddle AgedRNA-SeqRNA, Viralgene expressionimprinted immune responseinfection-naïve immune responseSARS-CoV-2 Omicron B.1.1.529total RNA-seqtranscriptome analysisvaccination

Identifiers

PMID40631743
PMCPMC12323659

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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.