Evidence map›Paper›PMID 42393072›Full record

ArticleNPJ biofilms and microbiomes2026

Pharyngeal Microenvironment Associated with Human Rhinovirus Infection in Children: Insights from Metatranscriptomic Sequencing.

Muhammad Noman, Ying Li, Jiaming Huang, Haizhou Liu, Ismaila Damilare Isiaka, Muhammad Arif Rizwan, Hebin Chen, Wenqing Li, Yanli Wang, Feng Han and 8 more

Abstract read
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In one paragraph

Article in NPJ biofilms and microbiomes, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

18 authors.

Muhammad Noman *State Key Laboratory of Virology and Biosafety, Wuhan Institute of Virology, Chinese Academy of Sciences, Wuhan, China.
Ying Li *State Key Laboratory of Virology and Biosafety, Wuhan Institute of Virology, Chinese Academy of Sciences, Wuhan, China.
Jiaming HuangState Key Laboratory of Virology and Biosafety, Wuhan Institute of Virology, Chinese Academy of Sciences, Wuhan, China.
Haizhou LiuState Key Laboratory of Virology and Biosafety, Wuhan Institute of Virology, Chinese Academy of Sciences, Wuhan, China.
Ismaila Damilare IsiakaState Key Laboratory of Virology and Biosafety, Wuhan Institute of Virology, Chinese Academy of Sciences, Wuhan, China.
Muhammad Arif RizwanState Key Laboratory of Virology and Biosafety, Wuhan Institute of Virology, Chinese Academy of Sciences, Wuhan, China.
Hebin ChenDepartment of Respiratory Medicine, Wuhan Children's Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Wenqing LiDepartment of Respiratory Medicine, Wuhan Children's Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Yanli WangDepartment of Respiratory Medicine, Wuhan Children's Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Feng HanDepartment of Respiratory Medicine, Wuhan Children's Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Jiali XuDepartment of Respiratory Medicine, Wuhan Children's Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Xueru LiuDepartment of Respiratory Medicine, Wuhan Children's Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Hui DuDepartment of Respiratory Medicine, Wuhan Children's Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Youjing LiuDepartment of Respiratory Medicine, Wuhan Children's Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Qing DuDepartment of Respiratory Medicine, Wuhan Children's Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Di LiuState Key Laboratory of Virology and Biosafety, Wuhan Institute of Virology, Chinese Academy of Sciences, Wuhan, China. liud@wh.iov.cn.
Xiaoxia LuDepartment of Respiratory Medicine, Wuhan Children's Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China. lusi74@163.com.
Yi YanDepartment of Respiratory Medicine, Wuhan Children's Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China. yanyi_1996@163.com.

Funding

Health Commission of Hubei Province WJ2021M262Natural Science Foundation of Hubei Province 2023AFB221, 2021CFA012Wuhan Children's Hospital 2024FEBSJJ007Wuhan Health Commission WX23A90
6 · The paper itself

Abstract

Human rhinovirus (HRV) is one of the most common causes of acute low respiratory tract infections (ALRTIs) in children and adults resulting in significant alterations in host gene expression and respiratory tract microbiome composition. We sought to clarify HRV prevalence features in children in Wuhan, and investigate interactions between HRV and host in pharynx microenvironment. A total of 1,790 samples were collected from children with ALRTI between September 2021 and September 2023 and screened for HRV infections using qPCR and targeted next-generation sequencing (tNGS). Among all samples, 47 positive samples, 29 healthy control and 27 HRV-negative ALRTI samples were analyzed by meta-transcriptomic sequencing to compare the microbiota dynamics, gene expression and antimicrobial resistance genes (ARGs) profile of infected and healthy individuals. The analysis revealed an HRV positive rate of 13.8%, with HRV-A and HRV-C strains being more dominant than HRV-B in Wuhan. Microbial diversity was significantly higher in HRV-positive samples, with specific genera such as Haemophilus, Neisseria, and Streptococcus being more abundant. There were 22,321 differentially expressed genes (DEGs) identified in the HRV patients. Enrichment analysis showed that these DEGs were associated with alterations in host responses, including modulations in immune activation and cellular processes. The identified ARGs conferred resistance to 18 distinct classes of antibiotics, with these ARGs being more prevalent in healthy individuals compared to those infected with HRV. Procrustes analysis demonstrated significant concordance between pharyngeal microbial community composition and ARG profiles, while co-occurrence network analysis identified strong associations between Pseudomonadota and ARGs conferring resistance to multiple antibiotic classes. HRV infection was associated with distinct shifts in pharyngeal microbial communities and host transcriptional responses. Collectively, these findings suggest that variation in the pharyngeal microbiome is closely linked to variation in resistome composition.

Indexed as

BacteriaMicrobiotaPharynxPicornaviridae InfectionsRespiratory Tract InfectionsRhinovirusChildChild, PreschoolChinaFemaleGene Expression ProfilingHigh-Throughput Nucleotide SequencingHumansInfantMaleTranscriptome

Identifiers

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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.