Evidence map›Paper›PMID 36968072›Full record

ArticleiScience2023

Multi-omics analysis reveals underlying host responses in pediatric respiratory syncytial virus pneumonia.

Xiaolan Huang, Fang Li, Yi Wang, Xinbei Jia, Nan Jia, Fei Xiao, Chunrong Sun, Jin Fu, Min Chen, Xiaodai Cui and 4 more

Open access · goldAbstract read
In one paragraph

Article in iScience, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
3.0field-weighted citation impact, top 8% 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

5 citing papers in PubMed, 10 citations in OpenAlex.

  1. Review
  2. Multi-omics to study chronic respiratory diseases and viral infections.European respiratory review : an official journal of the European Respiratory Society · 2026
    Review
  3. Article
  4. Article
  5. 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

14 authors at 4 institutions in 2 countries.

Xiaolan HuangExperimental Research Center, Capital Institute of Pediatrics, Beijing 100020, P.R. China.
Fang LiDepartment of Critical Medicine, Children's Hospital Affiliated Capital Institute of Pediatrics, Beijing 100020, P.R. China.
Yi WangExperimental Research Center, Capital Institute of Pediatrics, Beijing 100020, P.R. China.
Xinbei JiaDepartment of Otolaryngology, Head and Neck Surgery, Children's Hospital Affiliated Capital Institute of Pediatrics, Beijing 100020, P. R. China.
Nan JiaExperimental Research Center, Capital Institute of Pediatrics, Beijing 100020, P.R. China.
Fei XiaoExperimental Research Center, Capital Institute of Pediatrics, Beijing 100020, P.R. China.
Chunrong SunExperimental Research Center, Capital Institute of Pediatrics, Beijing 100020, P.R. China.
Jin FuExperimental Research Center, Capital Institute of Pediatrics, Beijing 100020, P.R. China.
Min ChenExperimental Research Center, Capital Institute of Pediatrics, Beijing 100020, P.R. China.
Xiaodai CuiExperimental Research Center, Capital Institute of Pediatrics, Beijing 100020, P.R. China.
Dong QuDepartment of Critical Medicine, Children's Hospital Affiliated Capital Institute of Pediatrics, Beijing 100020, P.R. China.
Laurence Don Wai LuuSchool of Life Sciences, University of Technology Sydney, Sydney, NSW, Australia.
Jun TaiDepartment of Otolaryngology, Head and Neck Surgery, Children's Hospital Affiliated Capital Institute of Pediatrics, Beijing 100020, P. R. China.
Jieqiong LiMedical Research Center, Beijing Institute of Respiratory Medicine and Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China.
Capital Institute of Pediatrics · CNChildren's Hospital of Capital Institute of Pediatrics · CNBeijing Chao-Yang Hospital · CNUniversity of Technology Sydney · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Respiratory syncytial virus (RSV) is an important pathogen causing pneumonia in children. Few studies have used multi-omics data to investigate the pathogenies of RSV pneumonia. Here, metabolomics was first used to identify potential biomarkers for RSV diagnosis. In the training cohort, serum from 36 healthy controls (HCs), 45 RSV pneumonia children, and 32 infectious disease controls (IDCs) were recruited. After analyses, six metabolites had potential diagnostic value. Using an independent cohort of 49 subjects, two biomarkers (neuromedin N and histidyl-proline diketopiperazine) were validated. Next, multi-omics analysis were applied to analyze the pathogenies of RSV pneumonia. Accumulation of collagen in the serum of RSVs indicated that RSV infection could lead to increased levels of soluble collage. Activation of the complement system and imbalance in lipid metabolism were also observed in RSV patients. The multi-omics analysis presented here revealed the signature protein and metabolite changes in serum caused by RSV infection.

Indexed as

Immune responseMetabolomicsProteomicsVirology

Identifiers

PMID36968072
PMCPMC10034469
OpenAlexW4323044326

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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 OpenQuestion graph.