Evidence map›Paper›PMID 40155905›Full record

ArticleVirology journal2025

Identification of aberrant interferon-stimulated gene associated host responses potentially linked to poor prognosis in COVID-19 during the Omicron wave.

Zhan Li, Min Peng, Linlin Cheng, ZiRan Wang, Ziyan Wu, Futai Feng, Xinxin Feng, Siyu Wang, Ye Guo, Yongzhe Li

Abstract read
In one paragraph

Article in Virology journal, 2025. 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

10 authors.

Zhan Li *Department of Clinical Laboratory, State Key Laboratory of Complex, Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China.
Min Peng *Division of Respiratory and Critical Care Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Linlin Cheng *Department of Clinical Laboratory, State Key Laboratory of Complex, Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China.
ZiRan WangDepartment of Clinical Laboratory, State Key Laboratory of Complex, Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China.
Ziyan WuDepartment of Clinical Laboratory, State Key Laboratory of Complex, Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China.
Futai FengDepartment of Clinical Laboratory, State Key Laboratory of Complex, Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China.
Xinxin FengDepartment of Clinical Laboratory, State Key Laboratory of Complex, Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China.
Siyu WangDepartment of Clinical Laboratory, State Key Laboratory of Complex, Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China.
Ye GuoDepartment of Clinical Laboratory, State Key Laboratory of Complex, Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China. 4227582@163.com.
Yongzhe LiDepartment of Clinical Laboratory, State Key Laboratory of Complex, Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China. yongzhelipumch@126.com.

Funding

National Natural Science Foundation of China 82402181the China Postdoctoral Science Foundation 2023T160060the National High Level Hospital Clinical Research Funding 2022-PUMCH-B-124
6 · The paper itself

Abstract

backgroundSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2) Omicron has demonstrated decreased pathogenicity, yet a few individuals suffer severe pneumonia from coronavirus disease 2019 (COVID-19) infection; the underlying mechanisms are unknown.

methodsThe present work investigated the role of Interferon-stimulated genes (ISGs) in the occurrence and progression of severe Omicron infection. The expression and dynamic changes of ISGs were assessed using quantitative real-time polymerase chain reaction (qRT-PCR), and the anti-ISG15 autoantibody in infected patients was detected by ELISA. Moreover, we evaluated the correlation of ISGs with disease severity and outcomes by comparing expression of ISGs among each group.

resultsDecreased expression of several ISGs such as IFI6 are potentially linked to increased severity or poor outcomes of Omicron infection. Longitudinal data also demonstrates that the dynamic variation of IFI6 in the Omicron infection phase may be linked to the prognosis of the disease. The increase of anti-ISG15 autoantibody potentially links to the disease progression and poor outcome of patients with high level of ISG15 expression.

conclusionsThese findings define aberrant Interferon-stimulated gene associated host responses and reveal potential mechanisms and therapeutic targets for Omicron or other viral infection.

Indexed as

COVID-19InterferonsSARS-CoV-2AdultAgedAutoantibodiesCytokinesDisease ProgressionFemaleHumansMaleMiddle AgedPrognosisSeverity of Illness IndexUbiquitinsAutoantibodiesCytokinesInterferonsISG15 protein, humanUbiquitinsAntiviral restriction factorsCOVID-19InterferonsISGSARS-CoV-2 Omicron variant

Identifiers

PMID40155905
PMCPMC11954226

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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.