Evidence map›Paper›PMID 38793555›Full record

ReviewViruses2024

Towards Understanding and Identification of Human Viral Co-Infections.

Hui Wu, Hang-Yu Zhou, Heng Zheng, Aiping Wu

Abstract readReview
In one paragraph

Review in Viruses, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Article
  6. The respiratory tract virome: unravelling the role of viral dark matter in respiratory health and disease.European respiratory review : an official journal of the European Respiratory Society · 2025
    Review
  7. Review
  8. Article
  9. Article
  10. 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

4 authors.

Hui WuSchool of Life Science and Technology, China Pharmaceutical University, Nanjing 211100, China.
Hang-Yu ZhouInstitute of Systems Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100005, China.ORCID 0000-0002-3762-2319
Heng ZhengSchool of Life Science and Technology, China Pharmaceutical University, Nanjing 211100, China.ORCID 0000-0002-1810-5842
Aiping WuInstitute of Systems Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100005, China.ORCID 0000-0002-5869-651X

Funding

Capital's Funds for Health Improvement and Research 2022-1G-1131National Key Research and Development Program of China 2021YFC2301305National Natural Science Foundation of China 9216910042National Natural Science Foundation of China 92169106Natural Science Foundation of Jiangsu Province BK20220278Non-profit Central Research Institute Fund of Chinese Academy of Medical Sciences 2021-PT180-001Suzhou Science and Technology Plan Project szs2020311the CAMS Innovation Fund for Medical Sciences 2021-I2M-1-061
6 · The paper itself

Abstract

Viral co-infections, in which a host is infected with multiple viruses simultaneously, are common in the human population. Human viral co-infections can lead to complex interactions between the viruses and the host immune system, affecting the clinical outcome and posing challenges for treatment. Understanding the types, mechanisms, impacts, and identification methods of human viral co-infections is crucial for the prevention and control of viral diseases. In this review, we first introduce the significance of studying human viral co-infections and summarize the current research progress and gaps in this field. We then classify human viral co-infections into four types based on the pathogenic properties and species of the viruses involved. Next, we discuss the molecular mechanisms of viral co-infections, focusing on virus-virus interactions, host immune responses, and clinical manifestations. We also summarize the experimental and computational methods for the identification of viral co-infections, emphasizing the latest advances in high-throughput sequencing and bioinformatics approaches. Finally, we highlight the challenges and future directions in human viral co-infection research, aiming to provide new insights and strategies for the prevention, control, diagnosis, and treatment of viral diseases. This review provides a comprehensive overview of the current knowledge and future perspectives on human viral co-infections and underscores the need for interdisciplinary collaboration to address this complex and important topic.

Indexed as

CoinfectionVirus DiseasesVirusesComputational BiologyHigh-Throughput Nucleotide SequencingHost-Pathogen InteractionsHumansclinical symptomsexperimental and computational identificationhost immune responsehuman viral co-infectionsviral interactions

Identifiers

PMID38793555
PMCPMC11126107

What Socratic holds

Textmetadata
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 Socratic graph.